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Sample records for weight suppression predicts

  1. Weight Suppression Predicts Time to Remission from Bulimia Nervosa

    Science.gov (United States)

    Lowe, Michael R.; Berner, Laura A.; Swanson, Sonja A.; Clark, Vicki L.; Eddy, Kamryn T.; Franko, Debra L.; Shaw, Jena A.; Ross, Stephanie; Herzog, David B.

    2011-01-01

    Objective: To investigate whether, at study entry, (a) weight suppression (WS), the difference between highest past adult weight and current weight, prospectively predicts time to first full remission from bulimia nervosa (BN) over a follow-up period of 8 years, and (b) weight change over time mediates the relationship between WS and time to first…

  2. Weight Suppression Predicts Time to Remission from Bulimia Nervosa

    Science.gov (United States)

    Lowe, Michael R.; Berner, Laura A.; Swanson, Sonja A.; Clark, Vicki L.; Eddy, Kamryn T.; Franko, Debra L.; Shaw, Jena A.; Ross, Stephanie; Herzog, David B.

    2011-01-01

    Objective: To investigate whether, at study entry, (a) weight suppression (WS), the difference between highest past adult weight and current weight, prospectively predicts time to first full remission from bulimia nervosa (BN) over a follow-up period of 8 years, and (b) weight change over time mediates the relationship between WS and time to first…

  3. Smoke and mirrors: magnified beliefs that cigarette smoking suppresses weight.

    Science.gov (United States)

    White, Marney A; McKee, Sherry A; O'malley, Stephanie S

    2007-10-01

    Research suggests that for some smokers, weight concerns interfere with smoking cessation. Studies with individuals with eating disorders and weight concerns have indicated that weight-concerned individuals place undue faith in the effectiveness of certain weight control strategies; i.e., adopt a brand of magical thinking pertaining to food rules and dieting behaviors. The current study investigated whether weight-concerned smokers endorsed exaggerated beliefs in the ability of smoking to suppress body weight. Participants were 385 individuals undergoing treatment for smoking cessation. Prior to treatment, participants completed the Smoking Consequences Questionnaire-Adult (SCQ-A), the Dieting and Bingeing Severity Scale, and the Perceived Risks and Benefits Questionnaire (PBRQ). Results indicated that heightened beliefs in the effectiveness of smoking to control weight were related to eating and weight concerns; specifically, strong associations were observed between SCQ-A Weight Control scores and fear of weight gain, loss of control over eating, and body dissatisfaction. Although SCQ-A Weight Control scores were related to (self-reported) weight gain during a previous quit attempt, scores did not predict actual weight gain over the course of the cessation trial. Reported weight gain at previous attempts was also unrelated to actual weight gain over the current trial. These findings indicate that eating and weight-concerned smokers may benefit from psychoeducation concerning the relatively modest and temporary ability of nicotine to suppress weight.

  4. Sidelobe Suppression with Null Steering by Independent Weight Control

    Directory of Open Access Journals (Sweden)

    Zafar-Ullah Khan

    2015-01-01

    Full Text Available A uniform linear array of n antenna elements can steer up to n-1 nulls. In situations where less than n-1 nulls are required to be steered, the existing algorithms have no criterion to utilize the remaining weights for sidelobe suppression. This work combines sidelobe suppression capability with null steering by independent weight control. For this purpose, the array factor is transformed as the product of two polynomials. One of the polynomials is used for null steering by independent weight control, while the second one is for sidelobe suppression whose coefficients or weights are determined by using convex optimization. Finally, a new structure is proposed to incorporate the product of two polynomials such that sidelobe suppression weights are decoupled from those of null steering weights. Simulation results validate the effectiveness of the proposed scheme.

  5. Link prediction in weighted networks

    DEFF Research Database (Denmark)

    Wind, David Kofoed; Mørup, Morten

    2012-01-01

    Many complex networks feature relations with weight information. Some models utilize this information while other ignore the weight information when inferring the structure. In this paper we investigate if edge-weights when modeling real networks, carry important information about the network...

  6. Holographic Lifshitz fermions and exponentially suppressed spectral weight

    CERN Document Server

    Kim, Youngshin

    2016-01-01

    One of the unusual features of Lifshitz holography is the presence of a tunneling barrier that arises from the bulk geometry for probes carrying large transverse momentum. This leads to a decoupling of the horizon from the boundary, and in particular gives rise to an exponential suppression of spectral weight in the large transverse momentum limit. We compute the spin-1/2 holographic Green's function and show that this suppression has the same origin as in the scalar case. We furthermore demonstrate that the suppression factor is universal in the $\\hat\\omega\\to0$ limit where $\\hat\\omega=\\omega/|\\vec k|^z$. In particular, it depends only on $\\hat\\omega$ and the critical exponent $z$, and is independent of scaling dimension and spin.

  7. Weight and weight gain during early infancy predict childhood obesity

    DEFF Research Database (Denmark)

    Andersen, Lise Geisler; Holst, Claus; Michaelsen, Kim F.

    2012-01-01

    Infant weight and weight gain are positively associated with later obesity, but whether there is a particular critical time during infancy remains uncertain.......Infant weight and weight gain are positively associated with later obesity, but whether there is a particular critical time during infancy remains uncertain....

  8. Entropy-based link prediction in weighted networks

    CERN Document Server

    Xu, Zhongqi; Sharafat, Rajput Ramiz; Li, Lunbo; Yang, Jian

    2016-01-01

    Information entropy has been proved to be an effective tool to quantify the structural importance of complex networks. In the previous work (Xu et al, 2016 \\cite{xu2016}), we measure the contribution of a path in link prediction with information entropy. In this paper, we further quantify the contribution of a path with both path entropy and path weight, and propose a weighted prediction index based on the contributions of paths, namely Weighted Path Entropy (WPE), to improve the prediction accuracy in weighted networks. Empirical experiments on six weighted real-world networks show that WPE achieves higher prediction accuracy than three typical weighted indices.

  9. A pilot study examining diagnostic differences among exercise and weight suppression in bulimia nervosa and binge eating disorder.

    Science.gov (United States)

    Cook, Brian J; Steffen, Kristine J; Mitchell, James E; Otto, Maxwell; Crosby, Ross D; Cao, Li; Wonderlich, Stephen A; Crow, Scott; Hill, Laura; Le Grange, Daniel; Powers, Pauline

    2015-05-01

    The objective of this study was to investigate diagnostic differences in weight suppression (e.g., the difference between one's current body weight and highest non-pregnancy adult body weight) and exercise among Bulimia Nervosa (BN) and Binge Eating Disorder (BED). Because exercise may be a key contributor to weight suppression in BN, we were interested in examining the potential moderating effect of exercise on weight suppression in BN or BED. Participants with BN (n = 774) and BED (n = 285) completed self-report surveys of weight history, exercise and eating disorder symptoms. Generalised linear model analyses were used to examine the associations among diagnosis, exercise frequency and their interaction on weight suppression. Exercise frequency and BN/BED diagnosis were both associated with weight suppression. Additionally, exercise frequency moderated the relationship between diagnosis and weight suppression. Specifically, weight suppression was higher in BN than in BED among those with low exercise frequency but comparable in BN and BED among those with high exercise frequency. Our results suggest that exercise frequency may contribute to different weight suppression outcomes among BN and BED. This may inform clinical implications of exercise in these disorders. Specifically, much understanding of the differences among exercise frequency and the compensatory use of exercise in BN and BED is needed. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.

  10. DST non-suppression predicts suicide after attempted suicide.

    Science.gov (United States)

    Jokinen, Jussi; Carlborg, Andreas; Mårtensson, Björn; Forslund, Kaj; Nordström, Anna-Lena; Nordström, Peter

    2007-04-15

    Most prospective studies of HPA axis have found that non-suppressors in the dexamethasone suppression test (DST) are more likely to commit suicide during the follow-up. Attempted suicide is a strong clinical predictor of suicide. The aim of this study was to assess the predictive value of DST for suicide in a group of depressed inpatients with and without an index suicide attempt. Historical cohort of 382 psychiatric inpatients with mood disorder admitted to the department of Psychiatry at the Karolinska University Hospital between 1980 and 2000 were submitted to the DST and followed up for causes of death. During the follow-up (mean 18 years), 36 suicides (9.4%) occurred, 20 of these were non-suppressors and 16 were suppressors. There was no statistically significant difference in suicide risk between the suppressors and non-suppressors for the sample as a whole. An index suicide attempt predicted suicide. In suicide attempters with mood disorder, the non-suppressor status was significantly associated with suicide indicating that HPA axis hyperactivity is a risk factor for suicide in this group. The dexamethasone suppression test may be a useful predictor within this population.

  11. Early Weight Gain Predicting Later Weight Gain Among Depot Medroxyprogesterone Acetate Users

    Science.gov (United States)

    LE, Yen-Chi L.; RAHMAN, Mahbubur; BERENSON, Abbey B.

    2009-01-01

    Objective To examine if early weight gain in depot medroxyprogesterone acetate (DMPA) users predicts continued excessive weight gain and to identify risk factors of early weight gain in DMPA users. Methods DMPA users (N=240) were assessed prior to initiating contraception and every 3 months for 36 months. Early weight gain was defined as over 5% baseline weight gain within 6 months of DMPA use. Mean weight gain at 6-month intervals was estimated based on early weight gain status (at or below 5% gain vs. above 5% gain). Multiple logistic and mixed-model regression analyses were used. Results About one-fourth of DMPA users had early weight gain. The mean weight gain of the at or below 5% group and above 5% group was 0.63 kg and 8.04 kg, 1.48 kg and 10.86 kg, and 2.49 kg and 11.08 kg after 12, 24, and 36 months (P < 0.001 at all observations), respectively. Early weight gainers also had a much steeper slope of weight gain over time than the regular weight gainers (0.35 kg/month vs. 0.08 kg/month, P < 0.001). Risk factors for early weight gain were: BMI less than 30 (OR 4.00, 95% confidence interval (CI): 1.513 – 10.455), parity (OR 2.23, 95% CI: 1.040 – 4.761), and self-reported increased appetite after 6 months of DMPA use (OR 3.06, 95% CI: 1.505 – 6.214). Conclusion Most DMPA users who gain excessive weight experience more than a 5% weight increase within 6 months. These data help physicians predict who is at risk of excessive gain and counsel them appropriately. PMID:19622988

  12. Fat-suppressed T2-weighted MRI appearance of subchondral insufficiency fracture of the femoral head

    Energy Technology Data Exchange (ETDEWEB)

    Sonoda, Kazuhiko; Yamamoto, Takuaki; Motomura, Goro; Karasuyama, Kazuyuki; Kubo, Yusuke; Iwamoto, Yukihide [Kyushu University, Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Higashi-ku, Fukuoka (Japan)

    2016-11-15

    Our aims were to investigate the imaging appearance of subchondral insufficiency fracture (SIF) of the femoral head based on fat-suppressed T2-weighted MRI, and evaluate its correlation with the clinical outcomes following conservative treatment. We retrospectively evaluated 40 hips in 37 patients with SIF of the femoral head (12 males and 25 females; mean age 55.8 years, range 22-78 years). MRI examinations were performed within 3 months after the onset of hip pain. Using fat-suppressed T2-weighted imaging, we evaluated the hips for the intensity of the subchondral bone (corresponding to the area superior to the low intensity band on T1-weighted images) as well as bone marrow edema, joint effusion, and presence of the band lesion. We then correlated the intensity of the subchondral bone with clinical outcomes. The hips were classified into three types based on subchondral intensity on fat-suppressed T2-weighted images: type 1 (21 hips) showed high intensity, type 2 (eight hips) showed heterogeneous intensity, and type 3 (11 hips) showed low intensity. The mean period between pain onset and MRI examination was significantly longer for type 2 hips than for type 1. Healing rates were 86 % for type 1, 75 % for type 2, and 18 % for type 3. SIF cases were classified into three types based on subchondral intensity on fat-suppressed T2-weighted imaging performed within 3 months after pain onset. Type 3 SIF tended to be intractable to conservative treatment compared to type 1 and type 2. (orig.)

  13. Models for predicting objective function weights in prostate cancer IMRT

    Energy Technology Data Exchange (ETDEWEB)

    Boutilier, Justin J., E-mail: j.boutilier@mail.utoronto.ca; Lee, Taewoo [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, Ontario M5S 3G8 (Canada); Craig, Tim [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University of Avenue, Toronto, Ontario M5T 2M9, Canada and Department of Radiation Oncology, University of Toronto, 148 - 150 College Street, Toronto, Ontario M5S 3S2 (Canada); Sharpe, Michael B. [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University of Avenue, Toronto, Ontario M5T 2M9 (Canada); Department of Radiation Oncology, University of Toronto, 148 - 150 College Street, Toronto, Ontario M5S 3S2 (Canada); Techna Institute for the Advancement of Technology for Health, 124 - 100 College Street, Toronto, Ontario M5G 1P5 (Canada); Chan, Timothy C. Y. [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, Ontario M5S 3G8, Canada and Techna Institute for the Advancement of Technology for Health, 124 - 100 College Street, Toronto, Ontario M5G 1P5 (Canada)

    2015-04-15

    Purpose: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization objective function weights from patient geometry for intensity-modulated radiation therapy of prostate cancer. Methods: A previously developed inverse optimization method was applied retrospectively to determine optimal objective function weights for 315 treated patients. The authors used an overlap volume ratio (OV) of bladder and rectum for different PTV expansions and overlap volume histogram slopes (OVSR and OVSB for the rectum and bladder, respectively) as explanatory variables that quantify patient geometry. Using the optimal weights as ground truth, the authors trained and applied three prediction models: logistic regression (LR), multinomial logistic regression (MLR), and weighted K-nearest neighbor (KNN). The population average of the optimal objective function weights was also calculated. Results: The OV at 0.4 cm and OVSR at 0.1 cm features were found to be the most predictive of the weights. The authors observed comparable performance (i.e., no statistically significant difference) between LR, MLR, and KNN methodologies, with LR appearing to perform the best. All three machine learning models outperformed the population average by a statistically significant amount over a range of clinical metrics including bladder/rectum V53Gy, bladder/rectum V70Gy, and dose to the bladder, rectum, CTV, and PTV. When comparing the weights directly, the LR model predicted bladder and rectum weights that had, on average, a 73% and 74% relative improvement over the population average weights, respectively. The treatment plans resulting from the LR weights had, on average, a rectum V70Gy that was 35% closer to the clinical plan and a bladder V70Gy that was 29% closer, compared to the population average weights. Similar results were observed for all other clinical metrics. Conclusions: The authors demonstrated that the KNN and MLR

  14. Factors predictive of drop-out and weight loss success in weight management of obese patients.

    Science.gov (United States)

    Hadžiabdić, M Ortner; Mucalo, I; Hrabač, P; Matić, T; Rahelić, D; Božikov, V

    2015-02-01

    The prevention and treatment of overweight and obese individuals on a population-wide basis is challenging because patients have difficulties with adhering to weight loss programmes. The present study aimed to evaluate patients' adherence to the weight reduction programme by identifying factors predictive of both drop-out rate and weight loss success. One-hundred and twenty-four obese patients participated in a 12-month weight reduction programme, involving group therapy during an intensive 5-day educational intervention, followed by five, 2-h follow-up visits. The primary outcome measures included drop-out rate and percentage weight loss. Sociodemographic and clinical characteristics, as well as type of diet, were explored as potential predictive factors. Type of diet was assigned based on randomisation. Regression analyses were conducted to identify predictive variables of drop-out and weight loss success. In total, 33.1% of all recruited participants were deemed successful because they reduced the initial weight by more than 5% after the 12-month intervention. The overall attrition rate was 32.3%. In a multiple regression model, initial weight loss and marital status were the strongest predictors of weight loss success after 1-year period (r(2) = 0.481, P drop-out were those with a lower educational level [odds ratio (OR) = 3.26, 95% confidence interval (CI) = 1.22-8.70, P = 0.018] and a higher level of obesity (OR = 0.974, 95% CI = 0.95-0.99, P = 0.010). The present study demonstrates that initial weight loss at 1 month made the strongest unique contribution to the prediction of percentage weight loss after 12 months, whereas being married was a negative predictor. Those with a lower educational level and a higher level of obesity were more likely to drop-out. © 2014 The British Dietetic Association Ltd.

  15. Prediction of Profitability of Industries using Weighted SVR

    Directory of Open Access Journals (Sweden)

    Divya Tomar,

    2011-05-01

    Full Text Available In order to measure the profitability of an industry by predicting Pre-Tax Operating Margin by applying regression technique on Price/Sales Ratio and Net Margin of various industries. Prediction ofPre-Tax Operating Margin is done using Support vector Regression (SVR. We present a model in this paper in order to solve the problem of over-fitting which is due to noise and outliers in dataset. For this a weighted coefficient based approach is proposed that reduces the prediction error and provides the higher accuracy than simple support vector regression. At last, the comparison of SVR using different kernel functions with weight is done and results of experiments shows that LS-SVR with RBF kernel function using weighted coefficient have better accuracy.

  16. Prediction of shelled shrimp weight by machine vision.

    Science.gov (United States)

    Pan, Peng-min; Li, Jian-ping; Lv, Gu-lai; Yang, Hui; Zhu, Song-ming; Lou, Jian-zhong

    2009-08-01

    The weight of shelled shrimp is an important parameter for grading process. The weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp thickness. In this paper, a multivariate prediction model containing area, perimeter, length, and width was established. A new calibration algorithm for extracting length of shelled shrimp was proposed, which contains binary image thinning, branch recognition and elimination, and length reconstruction, while its width was calculated during the process of length extracting. The model was further validated with another set of images from 30 shelled shrimps. For a comparison purpose, artificial neural network (ANN) was used for the shrimp weight predication. The ANN model resulted in a better prediction accuracy (with the average relative error at 2.67%), but took a tenfold increase in calculation time compared with the weight-area-perimeter (WAP) model (with the average relative error at 3.02%). We thus conclude that the WAP model is a better method for the prediction of the weight of shelled red shrimp.

  17. Prediction of shelled shrimp weight by machine vision

    Institute of Scientific and Technical Information of China (English)

    Peng-min PAN; Jian-ping LI; Gu-lai LV; Hui YANG; Song-ming ZHU; Jian-zhong LOU

    2009-01-01

    The weight of shelled shrimp is an important parameter for grading process. The weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp thickness. In this paper, a multivariate prediction model containing area, perimeter, length, and width was established. A new calibration algorithm for extracting length of shelled shrimp was proposed, which contains binary image thinning, branch recognition and elimination, and length reconstruction, while its width was calculated during the process of length extracting. The model was further validated with another set of images from 30 shelled shrimps. For a comparison purpose, artificial neural network (ANN) was used for the shrimp weight predication. The ANN model resulted in a better prediction accuracy (with the average relative error at 2.67%), but took a tenfold increase in calculation time compared with the weight-area-perimeter (WAP) model (with the average relative error at 3.02%). We thus conclude that the WAP model is a better method for the prediction of the weight of shelled red shrimp.

  18. Collective Prediction of Individual Mobility Traces with Exponential Weights

    CERN Document Server

    Hawelka, Bartosz; Kazakopoulos, Pavlos; Beinat, Euro

    2015-01-01

    We present and test a sequential learning algorithm for the short-term prediction of human mobility. This novel approach pairs the Exponential Weights forecaster with a very large ensemble of experts. The experts are individual sequence prediction algorithms constructed from the mobility traces of 10 million roaming mobile phone users in a European country. Average prediction accuracy is significantly higher than that of individual sequence prediction algorithms, namely constant order Markov models derived from the user's own data, that have been shown to achieve high accuracy in previous studies of human mobility prediction. The algorithm uses only time stamped location data, and accuracy depends on the completeness of the expert ensemble, which should contain redundant records of typical mobility patterns. The proposed algorithm is applicable to the prediction of any sufficiently large dataset of sequences.

  19. [Prediction of fetal weight by the Johnson-Toshach metod].

    Science.gov (United States)

    Valenzuela Tinoco, E; Puente González, H; de Dios Maldonado Alvarado, J

    1998-10-01

    Evaluation of Johnson and Toshach method to predict fetal weight. 200 patients with terminal pregnancy. The clinical method of Johnson and Toshach was used to calculate the fetal weight and it was compared with the immediate neonatal weight. Results were analyzed by the t Student test for paired data, with a certainty interval of 95%. The technique was accepted as useful in the cases without significative differences. 150 cases (75%) were in labor. The gestational ages were 38 weeks in 62 case; 39 weeks, 56 case; 40 weeks, 60 cases; 41 weeks, 22 cases. The average fetal weight vs neonatal weight was: At 38 weeks, 3,164 g (DS 289 g) vs 3,218 g (DS 364 g) (p > 0.05); 39 weeks 3,175 g (DS 301 g) vs 3,326 g (DS 391 g) (p 0.05). From the cases with significative difference, 85% had labor. The Johnson and Toshach method is useful to predict the fetal weight in patients with terminal pregnancy and no labor.

  20. Maternal factors in predicting low birth weight babies.

    Science.gov (United States)

    Yadav, Hematram; Lee, Nagarajah

    2013-01-01

    This study examines the association between maternal factors and low birth weight among newborns at a tertiary hospital in Malaysia. This was a cross-sectional study where mothers were followed through from first booking till delivery. There were 666 mothers who delivered from May 2007 to March 2008. Infants' birth weight were compared with maternal age, pre-pregnancy BMI, fathers BMI, parity, ethnicity, per capita monthly income, and maternal blood pressure during pregnancy. A multiple logistic regressions was used to determine the relationship of maternal factors and low birth weight, while the ROC curve was constructed to assess the sensitivity and specificity of the predictive model. Among the significant risk factors of low birth weight were older age (35 years and above), low pre-pregnancy BMI (per capita monthly income were included in the analysis.

  1. Soda consumption during ad libitum food intake predicts weight change.

    Science.gov (United States)

    Bundrick, Sarah C; Thearle, Marie S; Venti, Colleen A; Krakoff, Jonathan; Votruba, Susanne B

    2014-03-01

    Soda consumption may contribute to weight gain over time. Objective data were used to determine whether soda consumption predicts weight gain or changes in glucose regulation over time. Subjects without diabetes (128 men, 75 women; mean age 34.3±8.9 years; mean body mass index 32.5±7.4; mean percentage body fat 31.6%±8.6%) self-selected their food from an ad libitum vending machine system for 3 days. Mean daily energy intake was calculated from food weight. Energy consumed from soda was recorded as were food choices that were low in fat (30%). Food choices were expressed as percentage of daily energy intake. A subset of 85 subjects had measurement of follow-up weights and oral glucose tolerance (57 men, 28 women; mean follow-up time=2.5±2.1 years, range 6 months to 9.9 years). Energy consumed from soda was negatively related to age (r=-0.27, P=0.0001) and choosing low-fat foods (r=-0.35, Psoda correlated with change in weight (r=0.21, P=0.04). This relationship was unchanged after adjusting for follow-up time and initial weight. Soda consumption is a marker for excess energy consumption and is associated with weight gain.

  2. Combination of chemical suppression techniques for dual suppression of fat and silicone at diffusion-weighted MR imaging in women with breast implants

    Energy Technology Data Exchange (ETDEWEB)

    Koh, Dow-Mu; Hughes, J. [Royal Marsden Hospital, Department of Radiology, Sutton (United Kingdom); Blackledge, M.; Leach, M.O.; Collins, D.J. [Institute of Cancer Research, CR UK-EPSRC Cancer Imaging Centre, Sutton (United Kingdom); Burns, S. [Nuada 3T MRI Centre, London (United Kingdom); Stemmer, A.; Kiefer, B. [Siemens Healthcare, Erlangen (Germany)

    2012-12-15

    Silicone breast prostheses prove technically challenging when performing diffusion-weighted MR imaging in the breasts. We describe a combined fat and chemical suppression scheme to achieve dual suppression of fat and silicone, thereby improving the quality of diffusion-weighted images in women with breast implants. MR imaging was performed at 3.0 and 1.5 T in women with silicone breast implants using short-tau inversion recovery (STIR) fat-suppressed echo-planar (EPI) diffusion-weighted MR imaging (DWI) on its own and combined with the slice-select gradient-reversal (SSGR) technique. Imaging was performed using dedicated breast imaging coils. Complete suppression of the fat and silicone signal was possible at 3.0 T using EPI DWI with STIR and SSGR, evaluated with dedicated breast coils. However, a residual silicone signal was still perceptible at 1.5 T using this combined approach. Nevertheless, a further reduction in silicone signal at 1.5 T could be achieved by employing thinner slice partitions and the addition of the chemical-selective fat-suppression (CHESS) technique. DWI using combined STIR and SSGR chemical suppression techniques is feasible to eliminate or reduce silicone signal from prosthetic breast implants. (orig.)

  3. Evolutionary optimization of kernel weights improves protein complex comembership prediction.

    Science.gov (United States)

    Hulsman, Marc; Reinders, Marcel J T; de Ridder, Dick

    2009-01-01

    In recent years, more and more high-throughput data sources useful for protein complex prediction have become available (e.g., gene sequence, mRNA expression, and interactions). The integration of these different data sources can be challenging. Recently, it has been recognized that kernel-based classifiers are well suited for this task. However, the different kernels (data sources) are often combined using equal weights. Although several methods have been developed to optimize kernel weights, no large-scale example of an improvement in classifier performance has been shown yet. In this work, we employ an evolutionary algorithm to determine weights for a larger set of kernels by optimizing a criterion based on the area under the ROC curve. We show that setting the right kernel weights can indeed improve performance. We compare this to the existing kernel weight optimization methods (i.e., (regularized) optimization of the SVM criterion or aligning the kernel with an ideal kernel) and find that these do not result in a significant performance improvement and can even cause a decrease in performance. Results also show that an expert approach of assigning high weights to features with high individual performance is not necessarily the best strategy.

  4. Frequency weighted model predictive control of wind turbine

    DEFF Research Database (Denmark)

    Klauco, Martin; Poulsen, Niels Kjølstad; Mirzaei, Mahmood;

    2013-01-01

    This work is focused on applying frequency weighted model predictive control (FMPC) on three blade horizontal axis wind turbine (HAWT). A wind turbine is a very complex, non-linear system influenced by a stochastic wind speed variation. The reduced dynamics considered in this work...... are the rotational degree of freedom of the rotor and the tower for-aft movement. The MPC design is based on a receding horizon policy and a linearised model of the wind turbine. Due to the change of dynamics according to wind speed, several linearisation points must be considered and the control design adjusted...... accordingly. In practice is very hard to measure the effective wind speed, this quantity will be estimated using measurements from the turbine itself. For this purpose stationary predictive Kalman filter has been used. Stochastic simulations of the wind turbine behaviour with applied frequency weighted model...

  5. Cord Blood Metabolome Is Highly Associated with Birth Weight, but Less Predictive for Later Weight Development

    Directory of Open Access Journals (Sweden)

    Christian Hellmuth

    2017-04-01

    Full Text Available Background/Aims: Fetal metabolism may be changed by the exposure to maternal factors, and the route to obesity may already set in utero. Cord blood metabolites might predict growth patterns and later obesity. We aimed to characterize associations of cord blood with birth weight, postnatal weight gain, and BMI in adolescence. Methods: Over 700 cord blood samples were collected from infants participating in the German birth cohort study LISAplus. Glycerophospholipid fatty acids (GPL-FA, polar lipids, non-esterified fatty acids (NEFA, and amino acids were analyzed with a targeted, liquid chromatography-tandem mass spectrometry based metabolomics platform. Cord blood metabolites were related to growth factors by linear regression models adjusted for confounding variables. Results: Cord blood metabolites were highly associated with birth weight. Lysophosphatidylcholines C16:1, C18:1, C20:3, C18:2, C20:4, C14:0, C16:0, C18:3, GPL-FA C20:3n-9, and GPL-FA C22:5n-6 were positively related to birth weight, while higher cord blood concentrations of NEFA C22:6, NEFA C20:5, GPL-FA C18:3n-3, and PCe C38:0 were associated with lower birth weight. Postnatal weight gain and BMI z-scores in adolescents were not significantly associated with cord blood metabolites after adjustment for multiple testing. Conclusion: Potential long-term programming effects of the intrauterine environment and metabolism on later health cannot be predicted with profiling of the cord blood metabolome.

  6. Diffusion-weighted imaging predicts cognition in pediatric brain injury.

    Science.gov (United States)

    Babikian, Talin; Tong, Karen A; Galloway, Nicholas R; Freier-Randall, Mary-Catherin; Obenaus, André; Ashwal, Stephen

    2009-12-01

    Apparent diffusion coefficient maps from diffusion-weighted imaging predict gross neurologic outcome in adults with traumatic brain injury. Few studies in children have been reported, and none have used apparent diffusion coefficient maps to predict long-term (>1 year) neurocognitive outcomes. In this study, pooled regional and total brain diffusion coefficients were used to predict long-term outcomes in 17 pediatric brain injury patients. Apparent diffusion coefficient values were grouped into peripheral and deep gray and white matter, posterior fossa, and total brain. Regions of interest excluded areas that appeared abnormal on T(2)-weighted images. Apparent diffusion coefficient values from peripheral regions were inversely correlated with cognitive functioning. No significant correlations were apparent between the cognitive scores and apparent diffusion coefficient values for deep tissue or the posterior fossa. Regression analyses suggested that combined peripheral gray and white matter apparent diffusion coefficients explained 42% of the variance in the combined neurocognitive index. Peripheral gray diffusion coefficients alone explained an additional 20% of variance after accounting for clinical variables. These results suggest that obtaining apparent diffusion coefficient values, specifically from peripheral brain regions, may predict long-term outcome after pediatric brain injury. Discrepancies in the literature on this topic, as well as possible explanations, including sampling and clinical considerations, are discussed.

  7. Anger suppression predicts pain, emotional, and cardiovascular responses to the cold pressor.

    Science.gov (United States)

    Quartana, Phillip J; Bounds, Sara; Yoon, K Lira; Goodin, Burel R; Burns, John W

    2010-06-01

    Manipulated anger suppression has been shown to heighten pain and anger responses to pain. We examined whether individual differences in self-reported anger suppression predicted pain, anger, and blood pressure responses to acute pain. Healthy participants (N = 47) underwent an anger-provoking speech task followed by a cold pressor pain task. Participants reported their degree of suppression of thoughts and feelings related to the speech. Pain intensity ratings were obtained throughout the cold pressor. Self-reported anger, anxiety and positive emotion, as well as ratings of sensory, general distress, and anger-specific elements of pain were obtained following the cold pressor. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) were recorded throughout. Self-reported suppression predicted greater pain intensity ratings, perception of sensory and anger-specific elements of pain, and self-reported anger in response to the cold pressor. Associations between self-reported suppression and pain intensity and ratings of anger-specific elements of pain were statistically mediated by pain-induced changes in self-reported anger, whereas the effect of suppression on sensory pain ratings was not. Self-reported suppression was also correlated inversely with SBP responses to the cold pressor. Consistent with an ironic process model and prior studies involving experimental manipulation of suppression, self-reported suppression of anger predicted greater pain intensity and perception of the anger-specific element of pain. Findings also suggest that suppression might attenuate homeostatic pressor responses to acute pain.

  8. Treatment with FGFR2-IIIc monoclonal antibody suppresses weight gain and adiposity in KKAy mice

    Science.gov (United States)

    Nonogaki, K; Kaji, T; Yamazaki, T; Murakami, Mari

    2016-01-01

    Expression of β-Kotho, fibroblast growth factor receptor (FGFR)-1c and 2c, which bind FGF21, is decreased in the white adipose tissue of obese mice. The aim of the present study was to determine the role of FGFR2c in the development of obesity and diabetes in KKAy mice. Treatment with mouse monoclonal FGFR2-IIIc antibody (0.5 mg kg−1) significantly suppressed body weight gain and epididymal white adipose tissue weight in individually housed KKAy mice while having no effect on daily food intake. In addition, treatment with FGFR2-IIIc antibody significantly increased plasma-free fatty acid levels while having no effect on blood glucose or plasma FGF21 levels. Moreover, treatment with FGFR2-IIIc antibody had no significant effect on the expression of uncoupling protein-1, uncoupling protein-2 or peroxisome proliferator-activated receptor-γ coactivator 1α in the epididymal white adipose tissue. The treatment with FGFR2-IIIc antibody had no significant effects on daily food intake and body weight gain in individually housed KK mice. These findings suggest that FGFR2-IIIc upregulates the adiposity induced by social isolation in KKAy mice, and that decreased expression and/or function of FGFR2c might be a compensatory response to enhanced adiposity. Inhibition of FGFR2-IIIc function might be a novel therapeutic approach for obesity. PMID:27892934

  9. Brainstorming: weighted voting prediction of inhibitors for protein targets.

    Science.gov (United States)

    Plewczynski, Dariusz

    2011-09-01

    The "Brainstorming" approach presented in this paper is a weighted voting method that can improve the quality of predictions generated by several machine learning (ML) methods. First, an ensemble of heterogeneous ML algorithms is trained on available experimental data, then all solutions are gathered and a consensus is built between them. The final prediction is performed using a voting procedure, whereby the vote of each method is weighted according to a quality coefficient calculated using multivariable linear regression (MLR). The MLR optimization procedure is very fast, therefore no additional computational cost is introduced by using this jury approach. Here, brainstorming is applied to selecting actives from large collections of compounds relating to five diverse biological targets of medicinal interest, namely HIV-reverse transcriptase, cyclooxygenase-2, dihydrofolate reductase, estrogen receptor, and thrombin. The MDL Drug Data Report (MDDR) database was used for selecting known inhibitors for these protein targets, and experimental data was then used to train a set of machine learning methods. The benchmark dataset (available at http://bio.icm.edu.pl/∼darman/chemoinfo/benchmark.tar.gz ) can be used for further testing of various clustering and machine learning methods when predicting the biological activity of compounds. Depending on the protein target, the overall recall value is raised by at least 20% in comparison to any single machine learning method (including ensemble methods like random forest) and unweighted simple majority voting procedures.

  10. Blind Multipath Identification:A Weighted Linear Prediction Approach

    Institute of Scientific and Technical Information of China (English)

    WANG Bao-yun; ZHENG Bao-yu

    2003-01-01

    Blind channel identification exploits the measurable channel output signal and some prior knowledge of the statistics of the channel input signal. However, in many scenarios, more side information is available. In digital communication systems, the pulse-shaping filter in the transmitter and the anti-aliasing filter in the receiver are often known to the receiver. Eaploitation of this prior knowledge can simplify the channel identification problem. In this paper, we pose the multipath identification problem as solving a group of linear equations. While we solve the linear equations in the least-square meaning, a weight matrix can be introduced to improve the performance of the estimator. The optimal weight matrix is derived. Compared with the eristing Linear Prediction ( LP ) based multipath identification approach, the proposed approach offers a substantial performance gain.

  11. Predicting success: factors associated with weight change in obese youth undertaking a weight management program.

    Science.gov (United States)

    Baxter, Kimberley A; Ware, Robert S; Batch, Jennifer A; Truby, Helen

    2013-01-01

    To explore which baseline physiological and psychosocial variables predict change in body mass index (BMI) z-score in obese youth after 12 weeks of a dietary weight management study. Participants were obese young people participating in a dietary intervention trial in Brisbane Australia. The outcome variable was change in BMI z-score. Potential predictors considered included demographic, physiological and psychosocial parameters of the young person, and demographic characteristics of their parents. A multivariable regression model was constructed to examine the effect of potential predictive variables. Participants (n = 88) were predominantly female (69.3%), and had a mean(standard deviation) age of 13.1(1.9) years and BMI z-score of 2.2(0.4) on presentation. Lower BMI z-score (p resistance (p = 0.04) at baseline, referral from a paediatrician (p = 0.02) and being more socially advantaged (p = 0.046) were significantly associated with weight loss. Macronutrient distribution of diet and physical activity level did not contribute. Early intervention in obesity treatment in young people improves likelihood of success. Other factors such as degree of insulin resistance, social advantage and referral source also appear to play a role. Assessing presenting characteristics and factors associated with treatment outcome may allow practicing clinicians to individualise a weight management program or determine the 'best-fit' treatment for an obese adolescent. © 2013 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.

  12. Breast cancer biomarkers predict weight loss after gastric bypass surgery

    Directory of Open Access Journals (Sweden)

    Sauter Edward R

    2012-01-01

    Full Text Available Abstract Background Obesity has long been associated with postmenopausal breast cancer risk and more recently with premenopausal breast cancer risk. We previously observed that nipple aspirate fluid (n levels of prostate specific antigen (PSA were associated with obesity. Serum (s levels of adiponectin are lower in women with higher body mass index (BMI and with breast cancer. We conducted a prospective study of obese women who underwent gastric bypass surgery to determine: 1 change in n- and s-adiponectin and nPSA after surgery and 2 if biomarker change is related to change in BMI. Samples (30-s, 28-n and BMI were obtained from women 0, 3, 6 and 12 months after surgery. Findings There was a significant increase after surgery in pre- but not postmenopausal women at all time points in s-adiponectin and at 3 and 6 months in n-adiponectin. Low n-PSA and high s-adiponectin values were highly correlated with decrease in BMI from baseline. Conclusions Adiponectin increases locally in the breast and systemically in premenopausal women after gastric bypass. s-adiponectin in pre- and nPSA in postmenopausal women correlated with greater weight loss. This study provides preliminary evidence for biologic markers to predict weight loss after gastric bypass surgery.

  13. Prediction suppression in monkey inferotemporal cortex depends on the conditional probability between images.

    Science.gov (United States)

    Ramachandran, Suchitra; Meyer, Travis; Olson, Carl R

    2016-01-01

    When monkeys view two images in fixed sequence repeatedly over days and weeks, neurons in area TE of the inferotemporal cortex come to exhibit prediction suppression. The trailing image elicits only a weak response when presented following the leading image that preceded it during training. Induction of prediction suppression might depend either on the contiguity of the images, as determined by their co-occurrence and captured in the measure of joint probability P(A,B), or on their contingency, as determined by their correlation and as captured in the measures of conditional probability P(A|B) and P(B|A). To distinguish between these possibilities, we measured prediction suppression after imposing training regimens that held P(A,B) constant but varied P(A|B) and P(B|A). We found that reducing either P(A|B) or P(B|A) during training attenuated prediction suppression as measured during subsequent testing. We conclude that prediction suppression depends on contingency, as embodied in the predictive relations between the images, and not just on contiguity, as embodied in their co-occurrence.

  14. A review on botanical species and chemical compounds with appetite suppressing properties for body weight control.

    Science.gov (United States)

    Astell, Katie J; Mathai, Michael L; Su, Xiao Q

    2013-09-01

    As obesity has reached epidemic proportions, the management of this global disease is of clinical importance. The availability and popularity of natural dietary supplements for the treatment of obesity has risen dramatically in recent years. The purpose of this paper was to review the effect of commonly available over the counter plant-derived supplements used to suppress appetite for obesity control and management. The data were obtained from the electronic databases PubMed, SpringerLink, Google Scholar, ScienceDirect, and MEDLINE with full text (via EBSCOHost) and the databases were accessed during late 2012 - early January 2013. The botanical species discussed in this review include Camellia sinensis, Caralluma fimbriata, Citrus aurantium, Coleus forskohlii, Garcinia cambogia and Phaseolus vulgaris. This review found that many botanical species including crude extracts and isolated compounds from plants have been shown to provide potentially promising therapeutic effects including appetite control and weight loss. However, many of these crude extracts and compounds need to be further investigated to define the magnitude of the effects, optimal dosage, mechanisms of action, long term safety, and potential side effects.

  15. Efficient temporal and interlayer parameter prediction for weighted prediction in scalable high efficiency video coding

    Science.gov (United States)

    Tsang, Sik-Ho; Chan, Yui-Lam; Siu, Wan-Chi

    2017-01-01

    Weighted prediction (WP) is an efficient video coding tool that was introduced since the establishment of the H.264/AVC video coding standard, for compensating the temporal illumination change in motion estimation and compensation. WP parameters, including a multiplicative weight and an additive offset for each reference frame, are required to be estimated and transmitted to the decoder by slice header. These parameters cause extra bits in the coded video bitstream. High efficiency video coding (HEVC) provides WP parameter prediction to reduce the overhead. Therefore, WP parameter prediction is crucial to research works or applications, which are related to WP. Prior art has been suggested to further improve the WP parameter prediction by implicit prediction of image characteristics and derivation of parameters. By exploiting both temporal and interlayer redundancies, we propose three WP parameter prediction algorithms, enhanced implicit WP parameter, enhanced direct WP parameter derivation, and interlayer WP parameter, to further improve the coding efficiency of HEVC. Results show that our proposed algorithms can achieve up to 5.83% and 5.23% bitrate reduction compared to the conventional scalable HEVC in the base layer for SNR scalability and 2× spatial scalability, respectively.

  16. Thylakoids suppress appetite by increasing cholecystokinin resulting in lower food intake and body weight in high-fat fed mice

    DEFF Research Database (Denmark)

    Köhnke, Rickard; Lindqvist, Andreas; Göransson, Nathanael

    2009-01-01

    affect food intake and body weight during long-term feeding in mice. Female apolipoprotein E-deficient mice were fed a high-fat diet containing 41% of fat by energy with and without thylakoids for 100 days. Mice fed the thylakoid-enriched diet had suppressed food intake, body weight gain and body fat...... fat mass. There was no sign of desensitization in the animals treated with thylakoids. The results suggest that thylakoids are useful to suppress appetite and body weight gain when supplemented to a high-fat food during long-term feeding....... compared with the high-fat fed control mice. Reduced serum glucose, serum triglyceride and serum free fatty acid levels were found in the thylakoid-treated animals. The satiety hormone cholecystokinin was elevated, suggesting this hormone mediates satiety. Leptin levels were reduced, reflecting a decreased...

  17. Diffusion-weighted imaging of normal fibroglandular breast tissue : influence of microperfusion and fat suppression technique on the apparent diffusion coefficient

    NARCIS (Netherlands)

    Baron, Paul; Dorrius, Monique D.; Kappert, Peter; Oudkerk, Matthijs; Sijens, Paul E.

    2010-01-01

    The influence of microperfusion and fat suppression technique on the apparent diffusion coefficient (ADC) values obtained with diffusion weighted imaging (DWI) of normal fibroglandular breast tissue was investigated. Seven volunteers (14 breasts) were scanned using diffusion weighting factors (b val

  18. Metabolic syndrome, circulating RBP4, testosterone, and SHBG predict weight regain at 6 months after weight loss in men

    DEFF Research Database (Denmark)

    Wang, Ping; Menheere, Paul P C A; Astrup, Arne

    2013-01-01

    , adiponectin, retinol-binding protein 4 (RBP4), luteinizing hormone, prolactin, progesterone, total and free testosterone, and sex hormone-binding globulin (SHBG) were measured at baseline, after 8-week low-calorie diet-induced active weight loss, and after a subsequent 26-week ad libitum weight maintenance...... diet, and analyzed together with anthropometrical and physiological parameters. RESULTS AND CONCLUSIONS: Overweight and obese men with MetS at baseline had higher risk to regain weight (odds ratio=2.8, P=0.015). High baseline RBP4, and low total testosterone and low SHBG are predictors of weight loss......OBJECTIVE: Weight loss helps reduce the symptoms of the metabolic syndrome (MetS) in the obese, but weight regain after active weight loss is common. We investigated the changes and predictive role of circulating adipokines and sex hormones for weight regain in men during dietary intervention...

  19. Infant Temperament and Maternal Parenting Self-efficacy Predict Child Weight Outcomes

    OpenAIRE

    Anzman-Frasca, Stephanie; Stifter, Cynthia A.; Paul, Ian M.; Birch, Leann L.

    2013-01-01

    Relationships between infant negative reactivity and self-regulation, parenting self-efficacy, and child weight outcomes were examined. Greater observed negative reactivity predicted more child weight gain when mothers had lower parenting self-efficacy. Lower mother-reported self-regulation predicted a greater child weight status. Results highlight potential early risk/protective factors.

  20. The predictive value of the dexamethasone suppression test. A placebo-controlled study.

    Science.gov (United States)

    Peselow, E D; Stanley, M; Filippi, A M; Barouche, F; Goodnick, P; Fieve, R R

    1989-11-01

    We evaluated the dexamethasone suppression test (DST) as a predictor of response to drugs and placebo in 105 patients, in a large double-blind placebo-controlled out-patient trial to determine the efficacy of paroxetine HCl, a selective serotonin reuptake inhibitor, compared with that of imipramine HCl and placebo. The presence of a positive or negative DST did not predict response to either paroxetine or imipramine. However, a positive DST predicted a poorer response to placebo: only 3 out of 18 patients who showed DST non-suppression responded to placebo, as opposed to 11 out of 21 who exhibited DST suppression (P less than 0.05). A positive DST was associated with a 61% response to drugs and a 16% response to placebo. This finding suggests that the presence of a positive DST implies the need for active somatic treatment.

  1. Body weight, not insulin sensitivity or secretion, may predict spontaneous weight changes in nondiabetic and prediabetic subjects: the RISC study.

    Science.gov (United States)

    Rebelos, Eleni; Muscelli, Elza; Natali, Andrea; Balkau, Beverley; Mingrone, Geltrude; Piatti, Piermarco; Konrad, Thomas; Mari, Andrea; Ferrannini, Ele

    2011-07-01

    Previous studies have found that high insulin sensitivity predicts weight gain; this association has not been confirmed. Our aim was to systematically analyze metabolic predictors of spontaneous weight changes. In 561 women and 467 men from the Relationship Between Insulin Sensitivity and Cardiovascular Disease (RISC) cohort (mean age 44 years, BMI range 19-44 kg/m(2), 9% impaired glucose tolerance) followed up for 3 years, we measured insulin sensitivity (by a euglycemic clamp) and β-cell function (by modeling of the C-peptide response to oral glucose and by acute insulin response to intravenous glucose). Insulin sensitivity was similar in weight gainers (top 20% of the distribution of BMI changes), weight losers (bottom 20%), and weight stable subjects across quartiles of baseline BMI. By multiple logistic or linear regression analyses controlling for center, age, sex, and baseline BMI, neither insulin sensitivity nor any β-cell function parameter showed an independent association with weight gain; this was true in normal glucose tolerance, impaired glucose tolerance, and whether subjects progressed to dysglycemia or not. Baseline BMI was significantly higher in gainers (26.1 ± 4.1 kg/m(2)) and losers (26.6 ± 3.7 kg/m(2)) than in weight stable subjects (24.8 ± 3.8 kg/m(2), Pweight) was a positive, independent predictor of both weight gain and weight loss (odds ratio 1.48 [95% CI 1.12-1.97]) in men and (1.67 [1.28-2.12]) in women. In men only, better insulin sensitivity was an additional independent predictor of weight loss. Neither insulin sensitivity nor insulin secretion predicts spontaneous weight gain. Individuals who have attained a higher weight are prone to either gaining or losing weight regardless of their glucose tolerance. © 2011 by the American Diabetes Association.

  2. Weighted K-means support vector machine for cancer prediction

    OpenAIRE

    Kim, Sunghwan

    2016-01-01

    To date, the support vector machine (SVM) has been widely applied to diverse bio-medical fields to address disease subtype identification and pathogenicity of genetic variants. In this paper, I propose the weighted K-means support vector machine (wKM-SVM) and weighted support vector machine (wSVM), for which I allow the SVM to impose weights to the loss term. Besides, I demonstrate the numerical relations between the objective function of the SVM and weights. Motivated by general ensemble tec...

  3. Predicting metabolic adaptation, body weight change, and energy intake in humans

    National Research Council Canada - National Science Library

    Hall, Kevin D

    2010-01-01

    .... Here, I present the first computational model that simulates how diet perturbations result in adaptations of fuel selection and energy expenditure that predict body weight and composition changes...

  4. Predicting objective function weights from patient anatomy in prostate IMRT treatment planning

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Taewoo, E-mail: taewoo.lee@utoronto.ca; Hammad, Muhannad [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King' s College Road, Toronto, Ontario M5S 3G8 (Canada); Chan, Timothy C. Y. [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King' s College Road, Toronto, Ontario M5S 3G8 (Canada); Techna Institute for the Advancement of Technology for Health, 124-100 College Street, Toronto, Ontario M5G 1P5 (Canada); Craig, Tim [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9 (Canada); Department of Radiation Oncology, University of Toronto, 148-150 College Street, Toronto, Ontario M5S 3S2 (Canada); Sharpe, Michael B. [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9 (Canada); Department of Radiation Oncology, University of Toronto, 148-150 College Street, Toronto, Ontario M5S 3S2 (Canada); Techna Institute for the Advancement of Technology for Health, 124-100 College Street Toronto, Ontario M5G 1P5 (Canada)

    2013-12-15

    Purpose: Intensity-modulated radiation therapy (IMRT) treatment planning typically combines multiple criteria into a single objective function by taking a weighted sum. The authors propose a statistical model that predicts objective function weights from patient anatomy for prostate IMRT treatment planning. This study provides a proof of concept for geometry-driven weight determination. Methods: A previously developed inverse optimization method (IOM) was used to generate optimal objective function weights for 24 patients using their historical treatment plans (i.e., dose distributions). These IOM weights were around 1% for each of the femoral heads, while bladder and rectum weights varied greatly between patients. A regression model was developed to predict a patient's rectum weight using the ratio of the overlap volume of the rectum and bladder with the planning target volume at a 1 cm expansion as the independent variable. The femoral head weights were fixed to 1% each and the bladder weight was calculated as one minus the rectum and femoral head weights. The model was validated using leave-one-out cross validation. Objective values and dose distributions generated through inverse planning using the predicted weights were compared to those generated using the original IOM weights, as well as an average of the IOM weights across all patients. Results: The IOM weight vectors were on average six times closer to the predicted weight vectors than to the average weight vector, usingl{sub 2} distance. Likewise, the bladder and rectum objective values achieved by the predicted weights were more similar to the objective values achieved by the IOM weights. The difference in objective value performance between the predicted and average weights was statistically significant according to a one-sided sign test. For all patients, the difference in rectum V54.3 Gy, rectum V70.0 Gy, bladder V54.3 Gy, and bladder V70.0 Gy values between the dose distributions generated by

  5. Taking Orlistat: Predicting Weight Loss over 6 Months

    Directory of Open Access Journals (Sweden)

    Amelia Hollywood

    2011-01-01

    Full Text Available This study explored the predictors of weight loss following orlistat with a focus on both baseline variables and changes in beliefs and behaviours occurring over the course of taking the drug. Patients (n=566 prescribed orlistat completed a questionnaire at baseline and after 6 months concerning their weight, beliefs and behaviours. By 6 months the majority had lost some weight and showed improvements in diet. Many had also stopped taking the drug and a large minority reported using it flexibly as a lifestyle drug. Those who lost most weight showed a decrease in beliefs in a medical solution, a decrease in unhealthy eating, an increased belief in treatment control and an increased belief that the unpleasant consequences are both due to their eating behaviour and just part of the drug. When taken with fatty food orlistat causes symptoms such as anal leakage and oily stools. These may encourage some patients to focus on the behavioural aspects of their weight problem thus promoting the dietary changes needed for both short and longer term weight loss. When prescribing orlistat, clinicians should encourage patients to see the consequences as an education as a means to promote the effectiveness of this form of medical management.

  6. Individual Differences in Spontaneous Expressive Suppression Predict Amygdala Responses to Fearful Stimuli: The Role of Suppression Priming

    Science.gov (United States)

    Chen, Shengdong; Deng, Zhongyan; Xu, Yin; Long, Quanshan; Yang, Jiemin; Yuan, Jiajin

    2017-01-01

    Though the spontaneous emotion regulation has received long discussions, few studies have explored the regulatory effects of spontaneous expressive suppression in neural activations, especially in collectivistic cultural context. The functional magnetic resonance imaging (fMRI) study aimed to examine whether individual differences in the tendency to use suppression are correlated with amygdala responses to negative situations when individuals are unconsciously primed with expressive suppression. Twenty-three healthy Chinese undergraduates completed an fMRI paradigm involving fear processing, and a synonym matching task was added to prime participants with the unconscious (automatic) expressive suppression goal. Participants completed measures of typical emotion regulation use (reappraisal and suppression), trait anxiety, and neuroticism. Results indicated that only in emotion suppression prime condition, greater use of suppression in everyday life was related to decreased amygdala activity. These associations were not attributable to variation in trait anxiety, neuroticism, or the habitual use of reappraisal. These findings suggest that in collectivistic cultural settings, individual differences in expressive suppression do not alter fear-related neural activation during suppression-irrelevant context. However, unconscious suppression priming facilitates the manifestation of individual differences in the neural consequence of expressive suppression, as reflected by the priming-specific decrease of emotional subcortical activations with more use of expressive suppression. PMID:28197108

  7. The dexamethasone suppression test (DST) in predicting response to desipramine and amitriptyline in depressed outpatients.

    Science.gov (United States)

    Peselow, E D; Goldring, N; Stanley, M; Barouche, F; Fieve, R R

    1986-01-01

    The predictive value of the dexamethasone suppression test (DST) was evaluated in two consecutive clinical trials involving 99 individuals treated with amitriptyline or desipramine. Following one week observation, and following one week on low-dose desipramine or amitriptyline (50 mg), all patients who remained depressed (Hamilton score 16 or greater) were given a full clinical trial of either desipramine or amitriptyline (150-300 mg/day) over a minimum 3-5 week period. In all, 68 patients required this trial, 31 receiving amitriptyline and 37 receiving desipramine. For these patients there was no relationship between DST suppression/non-suppression vs clinical response to either desipramine or amitriptyline. There was a non-significant trend for suppressors (negative DST) to respond either spontaneously or to low-dose desipramine or amitriptyline as opposed to non-suppressors (positive DST).

  8. Weight loss herbal intervention therapy (W-LHIT) a non-appetite suppressing natural product controls weight and lowers cholesterol and glucose levels in a murine model.

    Science.gov (United States)

    Yang, Nan; Chung, Danna; Liu, Changda; Liang, Banghao; Li, Xiu-Min

    2014-07-23

    hematology testing results of W-LHIT treated mice were within the normal range. W-LHIT significantly and safely reduced body weight, normalized glucose and cholesterol levels in obese mice, without suppression of appetite, and increased adipocyte PPARγ and FABP4 gene expression.

  9. Does Spirituality Predict Weight Loss In A Behavioral Weight Loss Program?

    Science.gov (United States)

    2009-01-01

    body mass” (CDC, 2002; Stunkard & Wadden, 1993, p. 14). Excess body fat can be assessed by a variety of methods including skinfold thickness ...African American women. SPIRITUALITY AND WEIGHT LOSS 6 Table of Contents Abstract...45 Tables & Figures

  10. Phoneme-group specific octave-band weights in predicting speech intelligibility

    NARCIS (Netherlands)

    Steeneken, H.J.M.; Houtgast, T.

    2002-01-01

    In an earlier study we derived robust frequency-weighting functions for prediction of the intelligibility of short nonsense words.These frequency-weighting functions are applied for prediction of intelligibility such as with the speech transmission index (STI).Six independent experiments revealed es

  11. Phoneme-group specific octave-band weights in predicting speech intelligibility

    NARCIS (Netherlands)

    Steeneken, H.J.M.; Houtgast, T.

    2002-01-01

    In an earlier study we derived robust frequency-weighting functions for prediction of the intelligibility of short nonsense words.These frequency-weighting functions are applied for prediction of intelligibility such as with the speech transmission index (STI).Six independent experiments revealed

  12. Efficiency of Contrast-Enhanced Fat-Suppressed Proton Density Images for Shoulder MRI: Comparison with Contrast-enhanced Fat-suppressed T1 Weighted Image and Arthroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Kwan Sub; Ha, Doo Hoe; Lee, Sang Min; Yoo, Ko Eun; Kim, Jae Wha [Bundang CHA General Hospital, Pocheon (Korea, Republic of)

    2009-03-15

    This study was designed to evaluate the efficiency of contrast-enhanced fat-suppressed proton-density images (CE-FS-PDI) for shoulder MRI. We retrospectively reviewed 54 shoulder MR precontrast fat-suppressed proton-density images (FS-PDI), CE-FS-PDI and contrast-enhanced fat-suppressed T1 weighted images (CE-FS-T1WI). Signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) of the posterior labrum, infraspinatus muscle, synovium, biceps brachii long head tendon and subcutaneous fat were analyzed on each sequence. Subsequently, 53 cases were reviewed where patients had undergone both shoulder arthroscopy and shoulder MRI. We analyzed the diagnostic agreement rates between the CE-FS-PDI and CE-FS-T1WI and the diagnostic accuracy of arthroscopically proven tears of the supraspinatus tendon. On CE-FS-PDI, the SNRs and CNRs of all structures were statistically higher than on precontrast FSPDI and CE-FS-T1WI. Diagnostic agreement rates between CE-FS-PDI and CE-FS-T1WI were 70-96% in labrums and 75-96% in rotator cuffs. The diagnostic accuracy rates for a tear of the supraspinatus tendon were 83% on CE-FS-PDI and 75% on CE-FS-T1WI, respectively. The SNR and CNR on CE-FS-PDI were increased in the shoulder structures, and the diagnostic rate for a tear of the supraspinatus tendon on CE-FS-PDI was superior as compared to CE-FS-T1WI. Therefore, CE-FS-PDI will be useful for shoulder MRI.

  13. Prediction of excessive weight gain in insulin treated patients with type 2 diabetes

    DEFF Research Database (Denmark)

    Cichosz, Simon Lebech; Lundby-Christensen, Louise; Johansen, Mette D.;

    2017-01-01

    AIMS: Weight gain is an ongoing challenge when initiating insulin therapy in patients with Type 2 diabetes mellitus. However, if prediction of insulin associated weight gain was possible on an individualized level, targeted initiatives could be implemented to reduce weight gain. The objective...... of this study was to identify predictors of weight gain in insulin treated patients with Type 2 diabetes mellitus. METHODS: A total of 412 individuals with Type 2 diabetes mellitus were, in addition to metformin or placebo, randomized into 18-month treatment groups with three different insulin analogue...... treatment regimens. Participants with excessive weight gain were defined as the group with weight gain in the 4(th) quartile. We developed a pattern classification method to predict individuals prone to excessive weight gain. RESULTS: The median weight gain among all patients (n = 412) was 2.4 (95...

  14. PET imaging predicts future body weight and cocaine preference

    Energy Technology Data Exchange (ETDEWEB)

    Michaelides M.; Wang G.; Michaelides M.; Thanos P.K. Kim R.; Cho J.; Ananth M.; Wang G.-J.; Volkow N.D.

    2011-08-28

    Deficits in dopamine D2/D3 receptor (D2R/D3R) binding availability using PET imaging have been reported in obese humans and rodents. Similar deficits have been reported in cocaine-addicts and cocaine-exposed primates. We found that D2R/D3R binding availability negatively correlated with measures of body weight at the time of scan (ventral striatum), at 1 (ventral striatum) and 2 months (dorsal and ventral striatum) post scan in rats. Cocaine preference was negatively correlated with D2R/D3R binding availability 2 months (ventral striatum) post scan. Our findings suggest that inherent deficits in striatal D2R/D3R signaling are related to obesity and drug addiction susceptibility and that ventral and dorsal striatum serve dissociable roles in maintaining weight gain and cocaine preference. Measuring D2R/D3R binding availability provides a way for assessing susceptibility to weight gain and cocaine abuse in rodents and given the translational nature of PET imaging, potentially primates and humans.

  15. Adaptive Jamming Suppression in Coherent FFH System Using Weighted Equal Gain Combining Receiver over Fading Channels with Imperfect CSI

    Directory of Open Access Journals (Sweden)

    Yishan He

    2015-01-01

    Full Text Available Fast frequency hopping (FFH is commonly used as an antijamming communication method. In this paper, we propose efficient adaptive jamming suppression schemes for binary phase shift keying (BPSK based coherent FFH system, namely, weighted equal gain combining (W-EGC with the optimum and suboptimum weighting coefficient. We analyze the bit error ratio (BER of EGC and W-EGC receivers with partial band noise jamming (PBNJ, frequency selective Rayleigh fading, and channel estimation errors. Particularly, closed-form BER expressions are presented with diversity order two. Our analysis is verified by simulations. It is shown that W-EGC receivers significantly outperform EGC. As compared to the maximum likelihood (ML receiver in conventional noncoherent frequency shift keying (FSK based FFH, coherent FFH/BPSK W-EGC receivers also show significant advantages in terms of BER. Moreover, W-EGC receivers greatly reduce the hostile jammers’ jamming efficiency.

  16. Optimal weighting scheme for suppressing cascades and traffic congestion in complex networks.

    Science.gov (United States)

    Yang, Rui; Wang, Wen-Xu; Lai, Ying-Cheng; Chen, Guanrong

    2009-02-01

    This paper is motivated by the following two related problems in complex networks: (i) control of cascading failures and (ii) mitigation of traffic congestion. Both problems are of significant recent interest as they address, respectively, the security of and efficient information transmission on complex networks. Taking into account typical features of load distribution and weights in real-world networks, we have discovered an optimal solution to both problems. In particular, we shall provide numerical evidence and theoretical analysis that, by choosing a proper weighting parameter, a maximum level of robustness against cascades and traffic congestion can be achieved, which practically rids the network of occurrences of the catastrophic dynamics.

  17. Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction

    NARCIS (Netherlands)

    Hulsman, M.; Reinders, M.J.T.; De Ridder, D.

    2008-01-01

    In recent years, more and more high-throughput data sources useful for protein complex prediction have become available (e.g., gene sequence, mRNA expression, and interactions). The integration of these different data sources can be challenging. Recently, it has been recognized that kernel-based cla

  18. Modeling and simulation of orlistat to predict weight loss and weight maintenance in obesity patients.

    Science.gov (United States)

    Nakai, Kiyohiko; Wada, Russell; Iida, Satofumi; Kawanishi, Takehiko; Matsumoto, Yoshiaki

    2014-01-01

    Orlistat is used clinically worldwide as anti-obesity drug. It is a chemically synthesized hydrogenated derivative of lipstatin and is an inhibitor of gastric and pancreatic lipases. It has been found to reduce the absorption of dietary fat in the gastrointestinal tract. Modeling and simulation based on pharmacokinetic/pharmacodynamic analysis is becoming increasingly used in the design of clinical trials to assure that the trials are of high quality and are conducted efficiently. We developed a clinical trial simulation model for orlistat based on Phase III clinical study data. This innovative weight loss model includes the relationships between orlistat dose, changes in fecal fat excretion, and weight loss, and also incorporates a dropout function. The model guided the dose-finding strategy and allowed simulation of long-term clinical outcomes of orlistat.

  19. Risperidone-induced weight gain is mediated through shifts in the gut microbiome and suppression of energy expenditure

    Directory of Open Access Journals (Sweden)

    Sarah M. Bahr

    2015-11-01

    Full Text Available Risperidone is a second-generation antipsychotic that causes weight gain. We hypothesized that risperidone-induced shifts in the gut microbiome are mechanistically involved in its metabolic consequences. Wild-type female C57BL/6J mice treated with risperidone (80 μg/day exhibited significant excess weight gain, due to reduced energy expenditure, which correlated with an altered gut microbiome. Fecal transplant from risperidone-treated mice caused a 16% reduction in total resting metabolic rate in naïve recipients, attributable to suppression of non-aerobic metabolism. Risperidone inhibited growth of cultured fecal bacteria grown anaerobically more than those grown aerobically. Finally, transplant of the fecal phage fraction from risperidone-treated mice was sufficient to cause excess weight gain in naïve recipients, again through reduced energy expenditure. Collectively, these data highlight a major role for the gut microbiome in weight gain following chronic use of risperidone, and specifically implicates the modulation of non-aerobic resting metabolism in this mechanism.

  20. A Digital Signal Processing Method for Gene Prediction with Improved Noise Suppression

    Directory of Open Access Journals (Sweden)

    Carreira Alex

    2004-01-01

    Full Text Available It has been observed that the protein-coding regions of DNA sequences exhibit period-three behaviour, which can be exploited to predict the location of coding regions within genes. Previously, discrete Fourier transform (DFT and digital filter-based methods have been used for the identification of coding regions. However, these methods do not significantly suppress the noncoding regions in the DNA spectrum at . Consequently, a noncoding region may inadvertently be identified as a coding region. This paper introduces a new technique (a single digital filter operation followed by a quadratic window operation that suppresses nearly all of the noncoding regions. The proposed method therefore improves the likelihood of correctly identifying coding regions in such genes.

  1. An LCOR model for suppressing cascading failure in weighted complex networks

    Institute of Scientific and Technical Information of China (English)

    Chen Shi-Ming; Pang Shao-Peng; Zou Xiao-Qun

    2013-01-01

    Based on the relationship between capacity and load,cascading failure on weighted complex networks is investigated,and a load-capacity optimal relationship (LCOR) model is proposed in this paper.Compared with three other kinds of loadcapacity linear or non-linear relationship models in model networks as well as a number of real-world weighted networks including the railway network,the airports network and the metro network,the LCOR model is shown to have the best robustness against cascading failure with less cost.Furthermore,theoretical analysis and computational method of its cost threshold are provided to validate the effectiveness of the LCOR model.The results show that the LCOR model is effective for designing real-world networks with high robustness and less cost against cascading failure.

  2. Leptin levels in patients with anorexia nervosa following day/inpatient treatment do not predict weight 1 year post-referral.

    Science.gov (United States)

    Seitz, Jochen; Bühren, Katharina; Biemann, Ronald; Timmesfeld, Nina; Dempfle, Astrid; Winter, Sibylle Maria; Egberts, Karin; Fleischhaker, Christian; Wewetzer, Christoph; Herpertz-Dahlmann, Beate; Hebebrand, Johannes; Föcker, Manuel

    2016-09-01

    Elevated serum leptin levels following rapid therapeutically induced weight gain in anorexia nervosa (AN) patients are discussed as a potential biomarker for renewed weight loss as a result of leptin-related suppression of appetite and increased energy expenditure. This study aims to analyze the predictive value of leptin levels at discharge as well as the average rate of weight gain during inpatient or day patient treatment for body weight at 1-year follow-up. 121 patients were recruited from the longitudinal Anorexia Nervosa Day patient versus Inpatient (ANDI) trial. Serum leptin levels were analyzed at referral and discharge. A multiple linear regression analysis to predict age-adjusted body mass index (BMI-SDS) at 1-year follow-up was performed. Leptin levels, the average rate of weight gain, premorbid BMI-SDS, BMI-SDS at referral, age and illness duration were included as independent variables. Neither leptin levels at discharge nor rate of weight gain significantly predicted BMI-SDS at 1-year follow-up explaining only 1.8 and 0.4 % of the variance, respectively. According to our results, leptin levels at discharge and average rate of weight gain did not exhibit any value in predicting weight at 1-year follow-up in our longitudinal observation study of adolescent patients with AN. Thus, research should focus on other potential factors to predict weight at follow-up. As elevated leptin levels and average rate of weight gain did not pose a risk for reduced weight, we found no evidence for the beneficial effect of slow refeeding in patients with acute AN.

  3. Serial fetal abdominal circumference measurements in predicting normal birth weight in gestational diabetes mellitus.

    LENUS (Irish Health Repository)

    Neff, Karl J

    2013-06-24

    To construct a clinical management matrix using serial fetal abdominal circumference measurements (ACMs) that will predict normal birth weight in pregnancies complicated by gestational diabetes (GDM) and reduce unnecessary ultrasound examination in women with GDM.

  4. A simplified model predicting the weight of the load carrying beam in a wind turbine blade

    DEFF Research Database (Denmark)

    Mikkelsen, Lars Pilgaard

    2016-01-01

    to predict the weight of the load carrying beam when using glassfibre reinforced polymers, carbon fibre reinforced polymers or an aluminium alloy as the construction material. Thereby, it is found that the weight of a glass fibre wind turbine blade is increased from 0.5 to 33 tons when the blade length grows...

  5. Prediction of weight loss and regain following dietary, lifestyle, and pharmacologic intervention.

    Science.gov (United States)

    Napolitano, A; Miller, S R; Murgatroyd, P R; Delafont, B; Brooke, A; Elkhawad, M; Tan, C Y; Virtue, S; Vidal-Puig, A; Nunez, D J

    2012-06-01

    To develop statistical models for predicting weight loss and regain, we analyzed the phenotypic responses in an outpatient study of 60 obese subjects randomized to one of three 12-week interventions, diet (-600 kcal) alone, diet with exercise, and diet with sibutramine. This was followed by 12 weeks of observation. The best of the "baseline covariates" models was one that incorporated intervention group and baseline homeostasis model assessment-estimated insulin resistance (HOMA(IR)). It predicted week 12 weight change with R(2) of 0.38 and root mean square error (√MSE) of 2.92 kg. An alternative model incorporating baseline fat mass plus change in weight and HOMA(IR) at week 4 improved the prediction (R(2), 0.67, √MSE, 2.19 kg). We could not identify a satisfactory model to predict weight regain. We conclude that prediction of weight loss over 12 weeks is significantly improved when short-term weight change is incorporated into the model. This information could be utilized to forecast the success of a weight-loss program and to motivate and contribute to innovative designing of obesity trials.

  6. Suppression of extracellular invertase inhibitor gene expression improves seed weight in soybean (Glycine max).

    Science.gov (United States)

    Tang, Xiaofei; Su, Tao; Han, Mei; Wei, Lai; Wang, Weiwei; Yu, Zhiyuan; Xue, Yongguo; Wei, Hongbin; Du, Yejie; Greiner, Steffen; Rausch, Thomas; Liu, Lijun

    2017-01-01

    Cell wall invertase (CWI) and vacuolar invertase (VI) play multiple functions in plant growth. As well as depending on transcriptional and post-transcriptional regulation, there is growing evidence that CWI and VI are also subject to post-translational control by small inhibitory proteins. Despite the significance of this, genes encoding inhibitors, their molecular and biochemical properties, and their potential roles in regulating seed production have not been well documented in soybean (Glycine max). In this study, two invertase inhibitor isoforms, GmCIF1 and GmC/VIF2, were characterized to possess inhibitory activities in vitro via heterologous expression. Transcript analyses showed that they were predominantly expressed in developing seeds and in response to ABA. In accordance with this, surveys of primary targets showed subcellular localizations to the apoplast in tobacco epidermis after expressing YFP-fusion constructs. Investigations using RNAi transgenic plants demonstrated marked elevations of CWI activities and improvements in seed weight in conjunction with higher accumulations of hexoses, starch, and protein in mature seeds. Further co-expression analyses of GmCIF1 with several putative CWI genes corroborated the notion that GmCIF1 modulation of CWI that affects seed weight is mainly contingent on post-translational mechanisms. Overall, the results suggest that post-translational elevation of CWI by silencing of GmCIF1 expression orchestrates the process of seed maturation through fine-tuning sucrose metabolism and sink strength.

  7. Evaluation of Fat Suppression of Diffusion-weighted Imaging Using Section Select Gradient Reversal Technique on 3 T Breast MRI.

    Science.gov (United States)

    Takemori, Daichi; Kimura, Daisuke; Yamada, Eiji; Higashida, Mitsuji

    2016-07-01

    This study evaluates fat suppression of diffusion-weighted imaging (DWI) using section select gradient reversal (SSGR) technique in clinical images on 3 T breast MRI. A total of 20 patients with breast cancer were examined at a Philips Ingenia 3 T MRI. We acquired DWI with SPAIR, SSGR-SPAIR, STIR, and SSGR-STIR. We evaluated contrast between the fat region and lesion, the coefficient of variance (CV) of the fat region and the apparent diffusion coefficient (ADC) of normal breast tissue and lesion. The contrast between the fat region and lesion was improved with SSGR technique. The CV of the fattest region did not have any significant difference in SPAIR technique (p>0.05), but it was significantly decreased in the STIR technique using SSGR technique (p<0.05). Positive correlation was observed in ADC value between SPAIR and other fat suppression techniques (SSGR-SPAIR, STIR, SSGR-STIR). DWI using SSGR technique was suggested to be effective on 3 T breast MRI.

  8. Suppression of noise in SEM images using weighted local hysteresis smoothing filter.

    Science.gov (United States)

    Mazhari, Mohadeseh; Hasanzadeh, Reza P R

    2016-11-01

    It has been proven that Hysteresis Smoothing (HS) has several advantages for Scanning Electron Microscopy (SEM) image noise reduction. HS uses hysteresis thresholding to remove noise besides preserving important details of images. Determination of optimal threshold values (cursor width) plays an effective role in improving the performance of HS based filters. Recently, a novel local technique, named Local Adaptive Hysteresis Smoothing (LAHS), has been proposed to compute an optimal cursor width. In this paper, a new method is proposed to improve the performance of LAHS in noise reduction and detail preservation. In the proposed approach which is based on weighted averaging, local statistical characteristics of the image are used in order to modify the final values of estimated pixels by LAHS method. Proposed method is applied to SEM images corrupted by different levels of noise. Noise reduction and detail preservation performance of the proposed method is compared in both objective and subjective manners with other HS based filters. Experimental results demonstrate that the proposed method is successful in improving the performance of LAHS and also it achieves better performance in noise reduction besides detail preservation of SEM images in comparison with other HS based filters. SCANNING 38:634-643, 2016. © 2016 Wiley Periodicals, Inc.

  9. Predictive factors of plasma HIV suppression during pregnancy: a prospective cohort study in Benin.

    Directory of Open Access Journals (Sweden)

    Lise Denoeud-Ndam

    Full Text Available OBJECTIVE: To investigate the factors associated with HIV1 RNA plasma viral load (pVL below 40 copies/mL at the third trimester of pregnancy, as part of prevention of mother-to-child transmission (PMTCT in Benin. DESIGN: Sub study of the PACOME clinical trial of malaria prophylaxis in HIV-infected pregnant women, conducted before and after the implementation of the WHO 2009 revised guidelines for PMTCT. METHODS: HIV-infected women were enrolled in the second trimester of pregnancy. Socio-economic characteristics, HIV history, clinical and biological characteristics were recorded. Malaria prevention and PMTCT involving antiretroviral therapy (ART for mothers and infants were provided. Logistic regression helped identifying factors associated with virologic suppression at the end of pregnancy. RESULTS: Overall 217 third trimester pVLs were available, and 71% showed undetectability. Virologic suppression was more frequent in women enrolled after the change in PMTCT recommendations, advising to start ART at 14 weeks instead of 28 weeks of pregnancy. In multivariate analysis, Fon ethnic group (the predominant ethnic group in the study area, regular job, first and second pregnancy, higher baseline pVL and impaired adherence to ART were negative factors whereas higher weight, higher antenatal care attendance and longer ART duration were favorable factors to achieve virologic suppression. CONCLUSIONS: This study provides more evidence that ART has to be initiated before the last trimester of pregnancy to achieve an undetectable pVL before delivery. In Benin, new recommendations supporting early initiation were well implemented and, together with a high antenatal care attendance, led to high rate of virologic control.

  10. Baseline circulating ghrelin does not predict weight regain neither maintenance of weight loss after gastric bypass at long term.

    Science.gov (United States)

    Pellitero, Silvia; Pérez-Romero, Noelia; Martínez, Eva; Granada, María L; Moreno, Pau; Balibrea, Jose M; Tarascó, Jordi; Lucas, Anna; Puig-Domingo, Manel

    2015-08-01

    Predictors of weight loss (WL) or weight regain (WR) after Roux-en-Y gastric bypass (RYGBP) are not established. The aim of this study was to analyze the usefulness of some baseline peptides (leptin, insulin, and ghrelin) as biomarkers of WL and WR in morbid obese patients after RYGBP at long term. Seventy-six morbid obese (47 women, age 41.6 ± 9.6 years, body mass index [BMI] 52.1 ± 8 kg/m(2)) patients were evaluated at baseline and at 1, 2, and 6 years after surgery. Excess body weight loss after 6 years was of 63.9%. Age, BMI, and studied hormones at baseline or their changes over time did not predict long-term excess body weight loss. WR greater than 10% was observed in 36.8% of patients between 2 and 6 years of follow-up, but it was not correlated with BMI, age, or baseline peptide concentrations. Measurement of ghrelin, insulin, and leptin before surgery is not useful as predictors of WL or WR at long term after RYGBP. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. The Use of Green Leaf Membranes to Promote Appetite Control, Suppress Hedonic Hunger and Loose Body Weight.

    Science.gov (United States)

    Erlanson-Albertsson, Charlotte; Albertsson, Per-Åke

    2015-09-01

    On-going research aims at answering the question, which satiety signal is the most potent or which combination of satiety signals is the most potent to stop eating. There is also an aim at finding certain food items or food additives that could be used to specifically reduce food intake therapeutically. Therapeutic attempts to normalize body weight and glycaemia with single agents alone have generally been disappointing. The success of bariatric surgery illustrates the rationale of using several hormones to treat obesity and type-2-diabetes. We have found that certain components from green leaves, the thylakoids, when given orally have a similar rationale in inducing the release of several gut hormones at the same time. In this way satiety is promoted and hunger suppressed, leading to loss of body weight and body fat. The mechanism is a reduced rate of intestinal lipid hydrolysis, allowing the lipolytic products to reach the distal intestine and release satiety hormones. The thylakoids also regulate glucose uptake in the intestine and influences microbiota composition in the intestine in a prebiotic direction. Using thylakoids is a novel strategy for treatment and prevention of obesity.

  12. Does the size matter?: Prostate weight does not predict PSA recurrence after radical prostatectomy.

    Science.gov (United States)

    Davidson, Darrell D; Koch, Michael O; Lin, Haiqun; Jones, Timothy D; Biermann, Katharina; Cheng, Liang

    2010-04-01

    Previous studies suggest that low prostate weight is a significant negative prognostic factor for prostate cancer. In the current study, the data for 431 men who underwent radical retropubic prostatectomy between 1990 and 1998 were analyzed for association between prostate weight and various clinical and pathologic parameters. These included age, preoperative prostate-specific antigen (PSA) level, PSA recurrence, pathologic stage, Gleason grade, extraprostatic extension, positive surgical margins, tumor volume, associated high-grade prostatic intraepithelial neoplasia, perineural invasion, and lymph node metastasis. Potential associations were probed by using Cox regression model analysis. A significant positive correlation was found between prostate weight and increasing patient age or increasing preoperative PSA level. There was no significant independent association between prostate weight and any of the other variables examined. No association was found between prostate weight and PSA recurrence. Although increasing prostate weight correlates with increased patient age and higher preoperative PSA level, it does not independently predict postoperative cancer recurrence.

  13. Predicting short-term weight loss using four leading health behavior change theories

    Directory of Open Access Journals (Sweden)

    Barata José T

    2007-04-01

    Full Text Available Abstract Background This study was conceived to analyze how exercise and weight management psychosocial variables, derived from several health behavior change theories, predict weight change in a short-term intervention. The theories under analysis were the Social Cognitive Theory, the Transtheoretical Model, the Theory of Planned Behavior, and Self-Determination Theory. Methods Subjects were 142 overweight and obese women (BMI = 30.2 ± 3.7 kg/m2; age = 38.3 ± 5.8y, participating in a 16-week University-based weight control program. Body weight and a comprehensive psychometric battery were assessed at baseline and at program's end. Results Weight decreased significantly (-3.6 ± 3.4%, p Conclusion The present models were able to predict 20–30% of variance in short-term weight loss and changes in weight management self-efficacy accounted for a large share of the predictive power. As expected from previous studies, exercise variables were only moderately associated with short-term outcomes; they are expected to play a larger explanatory role in longer-term results.

  14. Childhood emotional problems and self-perceptions predict weight gain in a longitudinal regression model

    Directory of Open Access Journals (Sweden)

    Collier David

    2009-09-01

    Full Text Available Abstract Background Obesity and weight gain are correlated with psychological ill health. We predicted that childhood emotional problems and self-perceptions predict weight gain into adulthood. Methods Data on around 6,500 individuals was taken from the 1970 Birth Cohort Study. This sample was a representative sample of individuals born in the UK in one week in 1970. Body mass index was measured by a trained nurse at the age of 10 years, and self-reported at age 30 years. Childhood emotional problems were indexed using the Rutter B scale and self-report. Self-esteem was measured using the LAWSEQ questionnaire, whilst the CARALOC scale was used to measure locus of control. Results Controlling for childhood body mass index, parental body mass index, and social class, childhood emotional problems as measured by the Rutter scale predicted weight gain in women only (least squares regression N = 3,359; coefficient 0.004; P = 0.032. Using the same methods, childhood self-esteem predicted weight gain in both men and women (N = 6,526; coefficient 0.023; P N = 6,522; coefficient 0.022; P Conclusion Emotional problems, low self-esteem and an external locus of control in childhood predict weight gain into adulthood. This has important clinical implications as it highlights a direction for early intervention strategies that may contribute to efforts to combat the current obesity epidemic.

  15. Childhood emotional problems and self-perceptions predict weight gain in a longitudinal regression model.

    Science.gov (United States)

    Ternouth, Andrew; Collier, David; Maughan, Barbara

    2009-09-11

    Obesity and weight gain are correlated with psychological ill health. We predicted that childhood emotional problems and self-perceptions predict weight gain into adulthood. Data on around 6,500 individuals was taken from the 1970 Birth Cohort Study. This sample was a representative sample of individuals born in the UK in one week in 1970. Body mass index was measured by a trained nurse at the age of 10 years, and self-reported at age 30 years. Childhood emotional problems were indexed using the Rutter B scale and self-report. Self-esteem was measured using the LAWSEQ questionnaire, whilst the CARALOC scale was used to measure locus of control. Controlling for childhood body mass index, parental body mass index, and social class, childhood emotional problems as measured by the Rutter scale predicted weight gain in women only (least squares regression N = 3,359; coefficient 0.004; P = 0.032). Using the same methods, childhood self-esteem predicted weight gain in both men and women (N = 6,526; coefficient 0.023; P self-esteem and an external locus of control in childhood predict weight gain into adulthood. This has important clinical implications as it highlights a direction for early intervention strategies that may contribute to efforts to combat the current obesity epidemic.

  16. Influence of Weight Classification on Walking and Jogging Energy Expenditure Prediction in Women

    Science.gov (United States)

    Heden, Timothy D.; LeCheminant, James D.; Smith, John D.

    2012-01-01

    The purpose of this study was to determine the influence of weight classification on predicting energy expenditure (EE) in women. Twelve overweight (body mass index [BMI] = 25-29.99 kg/m[superscript 2]) and 12 normal-weight (BMI = 18.5-24.99 kg/m[superscript 2]) women walked and jogged 1,609 m at 1.34 m.s[superscript -1] and 2.23 m.s[superscript…

  17. Diffusion-weighted magnetic resonance imaging to predict response of hepatocellular carcinoma to chemoembolization

    Institute of Scientific and Technical Information of China (English)

    Johnathan; C; Chung; Neel; K; Naik; Robert; J; Lewandowski; Mary; F; Mulcahy; Laura; M; Kulik; Kent; T; Sato; Robert; K; Ryu; Riad; Salem; Andrew; C; Larson; Reed; A; Omary

    2010-01-01

    AIM: To investigate whether intra-procedural diffusion- weighted magnetic resonance imaging can predict response of hepatocellular carcinoma (HCC) during trans- catheter arterial chemoembolization (TACE). METHODS: Sixteen patients (15 male), aged 59 ±11 years (range: 42-81 years) underwent a total of 21 separate treatments for unresectable HCC in a hybrid magnetic resonance/interventional radiology suite. Ana- tomical imaging and diffusion-weighted imaging (b = 0, 500 s/mm2) were performed on a 1.5-T unit. ...

  18. The performance of various anthropometric assessment methods for predicting low birth weight in adolescent pregnant women

    Directory of Open Access Journals (Sweden)

    Denise Cavalcante de Barros

    2014-09-01

    Full Text Available Objective: To evaluate the performance of various anthropometric evaluation methods for adolescent pregnant women in the prediction of birth weight. Methods: It is a cross-sectional study including 826 adolescent pregnant women. In the pre-pregnancy body mass index (BMI classification, the recommendations of the World Health Organization were compared with that of the Brazilian Ministry of Health and the Institute of Medicine (IOM of 1992 and 2006. The gestational weight gain adequacy was evaluated according to the classification of IOM of 1992, of 2006 and of the Brazilian Ministry of Health. The newborns were classified as low birth weight (LBW or macrosomic. Multinomial logistic regression was used for statistical analysis and sensibility, specificity, accuracy, positive and negative predictive values were calculated. Results: The evaluation, according to the Brazilian Ministry of Health, showed the best prediction for LBW among pregnant women with low weight gain (specificity = 69.5%. The evaluation according to the IOM of 1992 showed the best prediction for macrosomia among pregnant women with high weight gain (specificity = 50.0%. The adequacy of weight gain according to the IOM of 1992 classification showed the best prediction for LBW (OR = 3.84; 95%CI 2.19 - 6.74, followed by the method of the Brazilian Ministry of Health (OR = 2.88, 95%CI 1.73 - 4.79, among pregnant women with low weight gain. Conclusion: It is recommended the adoption of the Brazilian Ministry of Health proposal, associated with BMI cut-offs specific for adolescents as an anthropometric assessment method for adolescent pregnant women.

  19. Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders.

    Directory of Open Access Journals (Sweden)

    David M Mutch

    Full Text Available BACKGROUND: The ability to identify obese individuals who will successfully lose weight in response to dietary intervention will revolutionize disease management. Therefore, we asked whether it is possible to identify subjects who will lose weight during dietary intervention using only a single gene expression snapshot. METHODOLOGY/PRINCIPAL FINDINGS: The present study involved 54 female subjects from the Nutrient-Gene Interactions in Human Obesity-Implications for Dietary Guidelines (NUGENOB trial to determine whether subcutaneous adipose tissue gene expression could be used to predict weight loss prior to the 10-week consumption of a low-fat hypocaloric diet. Using several statistical tests revealed that the gene expression profiles of responders (8-12 kgs weight loss could always be differentiated from non-responders (<4 kgs weight loss. We also assessed whether this differentiation was sufficient for prediction. Using a bottom-up (i.e. black-box approach, standard class prediction algorithms were able to predict dietary responders with up to 61.1%+/-8.1% accuracy. Using a top-down approach (i.e. using differentially expressed genes to build a classifier improved prediction accuracy to 80.9%+/-2.2%. CONCLUSION: Adipose gene expression profiling prior to the consumption of a low-fat diet is able to differentiate responders from non-responders as well as serve as a weak predictor of subjects destined to lose weight. While the degree of prediction accuracy currently achieved with a gene expression snapshot is perhaps insufficient for clinical use, this work reveals that the comprehensive molecular signature of adipose tissue paves the way for the future of personalized nutrition.

  20. Systematic review and retrospective validation of prediction models for weight loss after bariatric surgery.

    Science.gov (United States)

    Sharples, Alistair J; Mahawar, Kamal; Cheruvu, Chandra V N

    2017-08-12

    Patients often have less than realistic expectations of the weight loss they are likely to achieve after bariatric surgery. It would be useful to have a well-validated prediction tool that could give patients a realistic estimate of their expected weight loss. To perform a systematic review of the literature to identify existing prediction models and attempt to validate these models. University hospital, United Kingdom. A systematic review was performed. All English language studies were included if they used data to create a prediction model for postoperative weight loss after bariatric surgery. These models were then tested on patients undergoing bariatric surgery between January 1, 2013 and December 31, 2014 within our unit. An initial literature search produced 446 results, of which only 4 were included in the final review. Our study population included 317 patients. Mean preoperative body mass index was 46.1 ± 7.1. For 257 (81.1%) patients, 12-month follow-up was available, and mean body mass index and percentage excess weight loss at 12 months was 33.0 ± 6.7 and 66.1% ± 23.7%, respectively. All 4 of the prediction models significantly overestimated the amount of weight loss achieved by patients. The best performing prediction model in our series produced a correlation coefficient (R(2)) of .61 and an area under the curve of .71 on receiver operating curve analysis. All prediction models overestimated weight loss after bariatric surgery in our cohort. There is a need to develop better procedures and patient-specific models for better patient counselling. Copyright © 2017 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

  1. Predictiveness of sonographic fetal weight estimation as a function of prior probability of intrauterine growth retardation.

    Science.gov (United States)

    Simon, N V; Levisky, J S; Shearer, D M; Morris, K C; Hansberry, P A

    1988-06-01

    We evaluated the predictiveness of sonographically estimated fetal weight as a function of the estimation of probability of having intrauterine growth retardation (IUGR) before obtaining an ultrasound scan (prior probability). The value of the estimated fetal weight resided more in its high specificity than in its sensitivity, hence in its ability to confirm that the fetus is normal. The predictiveness of the method was further enhanced when the fetal weight estimation was placed in the context of the prior probability of IUGR. In particular, the positive predictive value of the test as well as the likelihood of having a growth-retarded infant in spite of an estimated fetal weight within the normal range were considerably higher as the prior probability of IUGR increased. Since the obstetrician using all available evidence is likely to form a rather good estimate of the possibility of IUGR before ordering a scan, this improvement in the predictiveness of estimated fetal weight through a Bayesian approach can be advantageously applied to ultrasound analysis and can effectively support clinical decision making.

  2. A model for prediction of cisplatin induced nephrotoxicity by kidney weight in experimental rats

    Directory of Open Access Journals (Sweden)

    Mehdi Nematbakhsh

    2013-01-01

    Full Text Available Background: Cisplatin (cis-diamminedichloroplatinum II; CP is used widely as an antitumor drug in clinics, but is accompanied with renal toxicity. Cisplatin induced nephrotoxicity consists of change in kidney weight, histological changes in kidney and increase in serum creatinine (Cr and blood urea nitrogen (BUN. This study was designed to find out a model for prediction of cisplatin induced nephrotoxicity. Materials and Methods: Pathological damage score, kidney weight, BUN, and Cr of 227 rats that were involved in different projects were determined. A total of 187 rats were treated with 7 mg/kg cisplatin and sacrificed 1 week later. Results: There was a good significant correlation between normalized kidney weight and logarithmic scale of BUN and Cr. Relationship between BUN, Cr or normalized kidney weight and pathology damage score was significant. Conclusion: Normalized kidney weight and pathology damage score is a good predictor of renal function in cisplatin induced nephrotoxicity in experimental rats.

  3. Childhood emotional problems and self-perceptions predict weight gain in a longitudinal regression model

    OpenAIRE

    Collier David; Ternouth Andrew; Maughan Barbara

    2009-01-01

    Abstract Background Obesity and weight gain are correlated with psychological ill health. We predicted that childhood emotional problems and self-perceptions predict weight gain into adulthood. Methods Data on around 6,500 individuals was taken from the 1970 Birth Cohort Study. This sample was a representative sample of individuals born in the UK in one week in 1970. Body mass index was measured by a trained nurse at the age of 10 years, and self-reported at age 30 years. Childhood emotional ...

  4. A New Global Regression Analysis Method for the Prediction of Wind Tunnel Model Weight Corrections

    Science.gov (United States)

    Ulbrich, Norbert Manfred; Bridge, Thomas M.; Amaya, Max A.

    2014-01-01

    A new global regression analysis method is discussed that predicts wind tunnel model weight corrections for strain-gage balance loads during a wind tunnel test. The method determines corrections by combining "wind-on" model attitude measurements with least squares estimates of the model weight and center of gravity coordinates that are obtained from "wind-off" data points. The method treats the least squares fit of the model weight separate from the fit of the center of gravity coordinates. Therefore, it performs two fits of "wind- off" data points and uses the least squares estimator of the model weight as an input for the fit of the center of gravity coordinates. Explicit equations for the least squares estimators of the weight and center of gravity coordinates are derived that simplify the implementation of the method in the data system software of a wind tunnel. In addition, recommendations for sets of "wind-off" data points are made that take typical model support system constraints into account. Explicit equations of the confidence intervals on the model weight and center of gravity coordinates and two different error analyses of the model weight prediction are also discussed in the appendices of the paper.

  5. Greater than predicted decrease in energy expenditure during exercise after body weight loss in obese men.

    Science.gov (United States)

    Doucet, Eric; Imbeault, Pascal; St-Pierre, Sylvie; Alméras, Natalie; Mauriège, Pascale; Després, Jean-Pierre; Bouchard, Claude; Tremblay, Angelo

    2003-07-01

    This study was performed retrospectively to investigate whether exercise energy expenditure (EE) measured during a standardized treadmill protocol (4.5 km/h at 0% grade) falls below predicted values after body weight loss in obese men. A reference equation was established to predict net exercise EE in a control sample of 83 obese individuals (27 kg/m(2)hydrodensitometry. Net exercise EE, insulin, leptin, 3,3',5-tri-iodothyronine and free thyroxine were measured after an overnight fast at baseline and 2-4 weeks after the end of the programme, when subjects were weight stable. Body weight was significantly reduced (-11%; P <0.01) at the end of the weight loss programme. At baseline, measured net exercise EE was similar to that predicted from the regression equation [19.6 and 19.8 kJ/min (4.69 and 4.74 kcal/min) respectively; not significant]. However, after the end of the intervention, measured net exercise EE was significantly below the predicted value [15.5 and 17.3 kJ/min (3.71 and 4.14 kcal/min) respectively; P <0.01]. The difference between the predicted and the measured fall in net exercise EE was significantly associated with changes in leptin concentration ( r =0.79, P <0.01), even after correction for changes in fat mass and insulin. These observations suggest that net exercise EE falls below predicted values after body weight loss. In addition, this greater than predicted decrease in net exercise EE was associated with changes in leptin.

  6. Value of fat-suppressed PD-weighted TSE-sequences for detection of anterior and posterior cruciate ligament lesions-Comparison to arthroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Schaefer, Fritz K.W. [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany)]. E-mail: f.schaefer@rad.uni-kiel.de; Schaefer, Philipp J. [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Brossmann, Joachim [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Frahm, Christian [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Muhle, Claus [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Hilgert, Ralf Erik [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Heller, Martin [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany); Jahnke, Thomas [Department of Diagnostic Radiology, University Hospital of Schleswig-Holstein Campus Kiel, Arnold-Heller-Strasse 9, 24105 Kiel (Germany)

    2006-06-15

    Objective: To evaluate fat-suppressed (FS) proton-density-weighted (PDw) turbo spin-echo (TSE) magnetic resonance imaging for the detection of anterior and posterior cruciate ligament lesions in comparison to arthroscopy. Materials and methods: In a prospective study 31 knee joints were imaged on a 1.5 T MR scanner (Vision[reg], Siemens, Erlangen) prior to arthroscopy using following sequences: (a) sagittal FS-PDw/T2w TSE (TR/TE: 4009/15/105 ms); (b) sagittal PDw/T2w TSE (TR/TE:3800/15/105 ms). Further imaging parameters: slice thickness 3 mm, FOV 160 mm, matrix 256 x 256. A total of 62 anterior and posterior cruciate ligaments (ACL/PCL) were evaluated, standard of reference was arthroscopy. Sensitivity, specificity, positive (ppv) and negative predictive value (npv) and accuracy were calculated. Results: Twenty-one cruciate ligament ruptures were detected in arthroscopy, 19 ACL- and 2 PCL-ruptures (on MRI 34/124, 25/62 ACL, 9/62 PCL lesions). For all four sequences in the 31 patients with arthroscopic correlation sensitivity, specificity, ppv, npv and accuracy were 86%, 98%, 95%, 93% and 94% for detection of tears, and 84%, 100%, 100%, 80% and 90% for ACL-ruptures respectively. The two PCL-ruptures were true positive in all sequences, one intact PCL was diagnosed as torn (false positive). Conclusions: Fat-suppressed PDw/T2w TSE-MR sequences are comparable to PDw TSE sequences for the detection of ACL/PCL-lesions.

  7. Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases

    Directory of Open Access Journals (Sweden)

    Raf Guns

    2016-09-01

    Full Text Available Purpose: This study aims to answer the question to what extent different types of networks can be used to predict future co-authorship among authors. Design/methodology/approach: We compare three types of networks: unweighted networks, in which a link represents a past collaboration; weighted networks, in which links are weighted by the number of joint publications; and bipartite author-publication networks. The analysis investigates their relation to positive stability, as well as their potential in predicting links in future versions of the co-authorship network. Several hypotheses are tested. Findings: Among other results, we find that weighted networks do not automatically lead to better predictions. Bipartite networks, however, outperform unweighted networks in almost all cases. Research limitations: Only two relatively small case studies are considered. Practical implications: The study suggests that future link prediction studies on co-occurrence networks should consider using the bipartite network as a training network. Originality/value: This is the first systematic comparison of unweighted, weighted, and bipartite training networks in link prediction.

  8. Diurnal Cortisol Patterns and Dexamethasone Suppression Test Responses in Healthy Young Adults Born Preterm at Very Low Birth Weight.

    Science.gov (United States)

    Kaseva, Nina; Pyhälä, Riikka; Pesonen, Anu-Katriina; Räikkönen, Katri; Järvenpää, Anna-Liisa; Andersson, Sture; Eriksson, Johan G; Hovi, Petteri; Kajantie, Eero

    2016-01-01

    Early life stress, such as painful and stressful procedures during neonatal intensive care after preterm birth, can permanently affect physiological, hormonal and neurobiological systems. This may contribute to altered programming of the hypothalamic-pituitary-adrenal axis (HPAA) and provoke changes in HPAA function with long-term health impacts. Previous studies suggest a lower HPAA response to stress in young adults born preterm compared with controls born at term. We assessed whether these differences in HPAA stress responsiveness are reflected in everyday life HPAA functioning, i.e. in diurnal salivary cortisol patterns, and reactivity to a low-dose dexamethasone suppression test (DST), in unimpaired young adults born preterm at very low birth weight (VLBW; <1500 g). The participants were recruited from the Helsinki Study of Very Low Birth Weight Adults cohort study. At mean age 23.3 years (2.1 SD), 49 VLBW and 36 controls born at term participated in the study. For cortisol analyzes, saliva samples were collected on two consecutive days at 0, 15, 30 and 60 min after wake-up, at 12:00 h, 17:00 h and 22:00 h. After the last salivary sample of the first study day the participants were instructed to take a 0.5 mg dexamethasone tablet. With mixed-effects model no difference was seen in overall diurnal salivary cortisol between VLBW and control groups [13.9% (95% CI: -11.6, 47.0), P = 0.31]. Salivary cortisol increased similarly after awakening in both VLBW and control participants [mean difference -2.9% (29.2, 33.0), P = 0.85]. Also reactivity to the low-dose DST (awakening cortisol ratio day2/day1) was similar between VLBW and control groups [-1.1% (-53.5, 103.8), P = 0.97)]. Diurnal cortisol patterns and reactivity to a low-dose DST in young adulthood were not associated with preterm birth.

  9. Low plasma adiponectin concentrations do not predict weight gain in humans

    DEFF Research Database (Denmark)

    Vozarova, Barbora; Stefan, Norbert; Lindsay, Robert S;

    2002-01-01

    Low concentrations of plasma adiponectin, the most abundant adipose-specific protein, are observed in obese individuals and predict the development of type 2 diabetes. Administration of adiponectin to rodents prevented diet-induced weight gain, suggesting a potential etiologic role...... of hypoadiponectinemia in the development of obesity. Our aim was to prospectively examine whether low plasma adiponectin concentrations predict future weight gain in Pima Indians, explaining the predictive effect of adiponectin on the development of type 2 diabetes. We measured plasma adiponectin concentrations in 219...... an etiologic role in development of obesity in Pima Indians. Therefore, the predictive effect of low plasma adiponectin concentrations on the development of type 2 diabetes seems to be mediated by factors other than increased adiposity....

  10. Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

    Directory of Open Access Journals (Sweden)

    Ping Wang

    Full Text Available BACKGROUND: Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI diet improved weight maintenance. OBJECTIVE: To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study. DESIGN: Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured. RESULTS: Angiotensin I converting enzyme (ACE was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%. CONCLUSIONS: A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss. REGISTRATION: ClinicalTrials.gov NCT00390637.

  11. Full-custom design of split-set data weighted averaging with output register for jitter suppression

    Science.gov (United States)

    Jubay, M. C.; Gerasta, O. J.

    2015-06-01

    A full-custom design of an element selection algorithm, named as Split-set Data Weighted Averaging (SDWA) is implemented in 90nm CMOS Technology Synopsys Library. SDWA is applied in seven unit elements (3-bit) using a thermometer-coded input. Split-set DWA is an improved DWA algorithm which caters the requirement for randomization along with long-term equal element usage. Randomization and equal element-usage improve the spectral response of the unit elements due to higher Spurious-free dynamic range (SFDR) and without significantly degrading signal-to-noise ratio (SNR). Since a full-custom, the design is brought to transistor-level and the chip custom layout is also provided, having a total area of 0.3mm2, a power consumption of 0.566 mW, and simulated at 50MHz clock frequency. On this implementation, SDWA is successfully derived and improved by introducing a register at the output that suppresses the jitter introduced at the final stage due to switching loops and successive delays.

  12. Noise suppression for dual-energy CT via penalized weighted least-square optimization with similarity-based regularization

    Energy Technology Data Exchange (ETDEWEB)

    Harms, Joseph; Wang, Tonghe; Petrongolo, Michael; Zhu, Lei, E-mail: leizhu@gatech.edu [Nuclear and Radiological Engineering and Medical Physics Programs, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332 (United States); Niu, Tianye [Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (China); Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang, 310016 (China)

    2016-05-15

    Purpose: Dual-energy CT (DECT) expands applications of CT imaging in its capability to decompose CT images into material images. However, decomposition via direct matrix inversion leads to large noise amplification and limits quantitative use of DECT. Their group has previously developed a noise suppression algorithm via penalized weighted least-square optimization with edge-preservation regularization (PWLS-EPR). In this paper, the authors improve method performance using the same framework of penalized weighted least-square optimization but with similarity-based regularization (PWLS-SBR), which substantially enhances the quality of decomposed images by retaining a more uniform noise power spectrum (NPS). Methods: The design of PWLS-SBR is based on the fact that averaging pixels of similar materials gives a low-noise image. For each pixel, the authors calculate the similarity to other pixels in its neighborhood by comparing CT values. Using an empirical Gaussian model, the authors assign high/low similarity value to one neighboring pixel if its CT value is close/far to the CT value of the pixel of interest. These similarity values are organized in matrix form, such that multiplication of the similarity matrix to the image vector reduces image noise. The similarity matrices are calculated on both high- and low-energy CT images and averaged. In PWLS-SBR, the authors include a regularization term to minimize the L-2 norm of the difference between the images without and with noise suppression via similarity matrix multiplication. By using all pixel information of the initial CT images rather than just those lying on or near edges, PWLS-SBR is superior to the previously developed PWLS-EPR, as supported by comparison studies on phantoms and a head-and-neck patient. Results: On the line-pair slice of the Catphan{sup ©}600 phantom, PWLS-SBR outperforms PWLS-EPR and retains spatial resolution of 8 lp/cm, comparable to the original CT images, even at 90% reduction in noise

  13. Discovery of an Orally Bioavailable Benzimidazole Diacylglycerol Acyltransferase 1 (DGAT1) Inhibitor That Suppresses Body Weight Gain in Diet-Induced Obese Dogs and Postprandial Triglycerides in Humans.

    Science.gov (United States)

    Nakajima, Katsumasa; Chatelain, Ricardo; Clairmont, Kevin B; Commerford, Renee; Coppola, Gary M; Daniels, Thomas; Forster, Cornelia J; Gilmore, Thomas A; Gong, Yongjin; Jain, Monish; Kanter, Aaron; Kwak, Youngshin; Li, Jingzhou; Meyers, Charles D; Neubert, Alan D; Szklennik, Paul; Tedesco, Vivienne; Thompson, James; Truong, David; Yang, Qing; Hubbard, Brian K; Serrano-Wu, Michael H

    2017-06-08

    Modification of a gut restricted class of benzimidazole DGAT1 inhibitor 1 led to 9 with good oral bioavailability. The key structural changes to 1 include bioisosteric replacement of the amide with oxadiazole and α,α-dimethylation of the carboxylic acid, improving DGAT1 potency and gut permeability. Since DGAT1 is expressed in the small intestine, both 1 and 9 can suppress postprandial triglycerides during acute oral lipid challenges in rats and dogs. Interestingly, only 9 was found to be effective in suppressing body weight gain relative to control in a diet-induced obese dog model, suggesting the importance of systemic inhibition of DGAT1 for body weight control. 9 has advanced to clinical investigation and successfully suppressed postprandial triglycerides during an acute meal challenge in humans.

  14. Finite element based model predictive control for active vibration suppression of a one-link flexible manipulator.

    Science.gov (United States)

    Dubay, Rickey; Hassan, Marwan; Li, Chunying; Charest, Meaghan

    2014-09-01

    This paper presents a unique approach for active vibration control of a one-link flexible manipulator. The method combines a finite element model of the manipulator and an advanced model predictive controller to suppress vibration at its tip. This hybrid methodology improves significantly over the standard application of a predictive controller for vibration control. The finite element model used in place of standard modelling in the control algorithm provides a more accurate prediction of dynamic behavior, resulting in enhanced control. Closed loop control experiments were performed using the flexible manipulator, instrumented with strain gauges and piezoelectric actuators. In all instances, experimental and simulation results demonstrate that the finite element based predictive controller provides improved active vibration suppression in comparison with using a standard predictive control strategy. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

  15. Weight-for-length relationship at birth to predict neonatal diseases

    Directory of Open Access Journals (Sweden)

    José Ricardo Dias Bertagnon

    Full Text Available CONTEXT: Intrauterine growth curves are extremely useful for classifying newborn children and predicting neonatal diseases. However, such curves rely on knowledge of the gestational age, which is not always easily obtained. Therefore, the study of other anthropometric measurements and their interrelationship is always desirable, in order to attain such objectives. OBJECTIVE: To evaluate whether newborns' birth weight and length can identify neonatal diseases, independent of knowledge of the gestational age. TYPE OF STUDY: Retrospective study. SETTING: Institute of Teaching and Research of Hospital Israelita Albert Einstein, São Paulo, Brazil. PARTICIPANTS: During the period from February 1995 to January 1998, 8,397 live newborns were studied in the hospital's maternity ward. PROCEDURES: The weight and length of live newborns were obtained at birth, thus allowing the analysis of weight-for-length adequacy, i.e. the distribution of birth weight for each class of birth lenght. These measurements were determined for the first 4,634 live newborns and the 10th and 90th percentiles were established. These parameters were applied to the next 3,763 consecutive newborns of the same population. The relationships between these variables and some neonatal diseases were investigated. The significance level adopted was p < 0.05. MAIN MEASUREMENTS: Birth weight and length, weight-for-length adequacy (10th and 90th percentiles for weight distribution in each 1-cm length class, weight/length index (10th and 90th percentiles of newborn's weight divided by the length and frequent neonatal diseases in this population. RESULTS: There was a significant association of adequacy and index with the following affections: asphyxia, jaundice, hypoglycemia, hypomagnesemia, congenital pneumonia, pulmonary hypertension and sepsis. Additionally, there was a relationship between the index and respiratory distress syndrome, transient tachypnea and persistent ductus arteriosus

  16. WeGET: predicting new genes for molecular systems by weighted co-expression

    NARCIS (Netherlands)

    Szklarczyk, R.; Megchelenbrink, W.; Cizek, P.; Ledent, M.; Velemans, G.; Szklarczyk, D.; Huynen, M.A.

    2016-01-01

    We have developed the Weighted Gene Expression Tool and database (WeGET, http://weget.cmbi.umcn.nl) for the prediction of new genes of a molecular system by correlated gene expression. WeGET utilizes a compendium of 465 human and 560 murine gene expression datasets that have been collected from

  17. Frequency-Weighted Model Predictive Control of Trailing Edge Flaps on a Wind Turbine Blade

    DEFF Research Database (Denmark)

    Castaignet, Damien; Couchman, Ian; Poulsen, Niels Kjølstad;

    2013-01-01

    This paper presents the load reduction achieved with trailing edge flaps during a full-scale test on a Vestas V27 wind turbine. The trailing edge flap controller is a frequency-weighted linear model predictive control (MPC) where the quadratic cost consists of costs on the zero-phase filtered...

  18. Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

    Science.gov (United States)

    Guo, Maozu; Guo, Yahong; Li, Jinbao; Ding, Jian; Liu, Yong; Dai, Qiguo; Li, Jin; Teng, Zhixia; Huang, Yufei

    2013-01-01

    Background The identification of human disease-related microRNAs (disease miRNAs) is important for further investigating their involvement in the pathogenesis of diseases. More experimentally validated miRNA-disease associations have been accumulated recently. On the basis of these associations, it is essential to predict disease miRNAs for various human diseases. It is useful in providing reliable disease miRNA candidates for subsequent experimental studies. Methodology/Principal Findings It is known that miRNAs with similar functions are often associated with similar diseases and vice versa. Therefore, the functional similarity of two miRNAs has been successfully estimated by measuring the semantic similarity of their associated diseases. To effectively predict disease miRNAs, we calculated the functional similarity by incorporating the information content of disease terms and phenotype similarity between diseases. Furthermore, the members of miRNA family or cluster are assigned higher weight since they are more probably associated with similar diseases. A new prediction method, HDMP, based on weighted k most similar neighbors is presented for predicting disease miRNAs. Experiments validated that HDMP achieved significantly higher prediction performance than existing methods. In addition, the case studies examining prostatic neoplasms, breast neoplasms, and lung neoplasms, showed that HDMP can uncover potential disease miRNA candidates. Conclusions The superior performance of HDMP can be attributed to the accurate measurement of miRNA functional similarity, the weight assignment based on miRNA family or cluster, and the effective prediction based on weighted k most similar neighbors. The online prediction and analysis tool is freely available at http://nclab.hit.edu.cn/hdmpred. PMID:23950912

  19. Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors.

    Directory of Open Access Journals (Sweden)

    Ping Xuan

    Full Text Available BACKGROUND: The identification of human disease-related microRNAs (disease miRNAs is important for further investigating their involvement in the pathogenesis of diseases. More experimentally validated miRNA-disease associations have been accumulated recently. On the basis of these associations, it is essential to predict disease miRNAs for various human diseases. It is useful in providing reliable disease miRNA candidates for subsequent experimental studies. METHODOLOGY/PRINCIPAL FINDINGS: It is known that miRNAs with similar functions are often associated with similar diseases and vice versa. Therefore, the functional similarity of two miRNAs has been successfully estimated by measuring the semantic similarity of their associated diseases. To effectively predict disease miRNAs, we calculated the functional similarity by incorporating the information content of disease terms and phenotype similarity between diseases. Furthermore, the members of miRNA family or cluster are assigned higher weight since they are more probably associated with similar diseases. A new prediction method, HDMP, based on weighted k most similar neighbors is presented for predicting disease miRNAs. Experiments validated that HDMP achieved significantly higher prediction performance than existing methods. In addition, the case studies examining prostatic neoplasms, breast neoplasms, and lung neoplasms, showed that HDMP can uncover potential disease miRNA candidates. CONCLUSIONS: The superior performance of HDMP can be attributed to the accurate measurement of miRNA functional similarity, the weight assignment based on miRNA family or cluster, and the effective prediction based on weighted k most similar neighbors. The online prediction and analysis tool is freely available at http://nclab.hit.edu.cn/hdmpred.

  20. Parental attitudes about a pregnancy predict birth weight in a low-income population.

    Science.gov (United States)

    Keeley, Robert D; Birchard, Alison; Dickinson, Perry; Steiner, John; Dickinson, L Miriam; Rymer, Susan; Palmer, Blake; Derback, Torri; Kempe, Allison

    2004-01-01

    Low birth weight remains the primary cause of neonatal morbidity and mortality in the United States. We examined whether maternal happiness about a pregnancy, in addition to her report of the father's happiness, predicts birth weight and risk for low birth weight (happiness about the pregnancy was measured before 21 weeks' gestation on a scale from 1 to 10 (1 to 3 unhappy, 4 to 7 ambivalent, or 8 to 10 happy). "Mother reports partner happier" occurred when the mother perceived the father's happiness score at least 5 points greater than her own. Information on birth weights and maternal sociodemographic, medical, and psychosocial factors were obtained from surveys and medical records. Of 162 live births, 9 were low birth weight (5.6%). Compared with women who reported happiness with the pregnancy, risk for low birth weight was greater when the mother reported partner happier about the pregnancy (relative risk 10.0, 95% confidence interval, 3.1-32.4). This predictor of birth weight remained significant in multivariate linear regression analyses (coefficient = -472 g, SE = 171 g, P = .007) after adjustment for other known predictors of birth weight. Maternal report of greater partner happiness about a pregnancy is associated with birth weight and appears to define low- and high-risk subgroups for low birth weight in a low-income population. Further study in larger samples is needed to confirm our findings and to assess whether maternal report of greater partner happiness is itself a modifiable factor or is a marker for other factors that might be modified with targeted interventions.

  1. Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

    Directory of Open Access Journals (Sweden)

    Haya M. Aljadani

    2013-01-01

    Full Text Available This study investigates the relationship between diet quality and weight gain in young women. Young women (, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline sampled from the Australian Longitudinal Study on Women’s Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS, Australian Diet Quality Index (Aus-DQI, and Fruit and Vegetable Index (FAVI. Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (. In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample ( kg (95% CI: −2.67 to −0.56, . In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI ( kg (95% CI: −2.4 to −0.3 . In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.

  2. Diet quality, measured by fruit and vegetable intake, predicts weight change in young women.

    Science.gov (United States)

    Aljadani, Haya M; Patterson, Amanda; Sibbritt, David; Hutchesson, Melinda J; Jensen, Megan E; Collins, Clare E

    2013-01-01

    This study investigates the relationship between diet quality and weight gain in young women. Young women (n = 4,287, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline) sampled from the Australian Longitudinal Study on Women's Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS), Australian Diet Quality Index (Aus-DQI), and Fruit and Vegetable Index (FAVI). Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (P > 0.05). In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample (β = -1.6 kg (95% CI: -2.67 to -0.56), P = 0.003). In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI (β = -1.6 kg (95% CI: -2.4 to -0.3) P = 0.01). In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.

  3. Automatic weight determination in nonlinear model predictive control of wind turbines using swarm optimization technique

    Science.gov (United States)

    Tofighi, Elham; Mahdizadeh, Amin

    2016-09-01

    This paper addresses the problem of automatic tuning of weighting coefficients for the nonlinear model predictive control (NMPC) of wind turbines. The choice of weighting coefficients in NMPC is critical due to their explicit impact on efficiency of the wind turbine control. Classically, these weights are selected based on intuitive understanding of the system dynamics and control objectives. The empirical methods, however, may not yield optimal solutions especially when the number of parameters to be tuned and the nonlinearity of the system increase. In this paper, the problem of determining weighting coefficients for the cost function of the NMPC controller is formulated as a two-level optimization process in which the upper- level PSO-based optimization computes the weighting coefficients for the lower-level NMPC controller which generates control signals for the wind turbine. The proposed method is implemented to tune the weighting coefficients of a NMPC controller which drives the NREL 5-MW wind turbine. The results are compared with similar simulations for a manually tuned NMPC controller. Comparison verify the improved performance of the controller for weights computed with the PSO-based technique.

  4. DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields

    Directory of Open Access Journals (Sweden)

    Sheng Wang

    2015-07-01

    Full Text Available Intrinsically disordered proteins or protein regions are involved in key biological processes including regulation of transcription, signal transduction, and alternative splicing. Accurately predicting order/disorder regions ab initio from the protein sequence is a prerequisite step for further analysis of functions and mechanisms for these disordered regions. This work presents a learning method, weighted DeepCNF (Deep Convolutional Neural Fields, to improve the accuracy of order/disorder prediction by exploiting the long-range sequential information and the interdependency between adjacent order/disorder labels and by assigning different weights for each label during training and prediction to solve the label imbalance issue. Evaluated by the CASP9 and CASP10 targets, our method obtains 0.855 and 0.898 AUC values, which are higher than the state-of-the-art single ab initio predictors.

  5. Prediction of oil palm production using the weighted average of fuzzy sets concept approach

    Science.gov (United States)

    Nugraha, R. F.; Setiyowati, Susi; Mukhaiyar, Utriweni; Yuliawati, Apriliani

    2015-12-01

    Proper planning becomes crucial for decision making in a company. For oil palm producer companies, the prediction of future products realizations is useful and considered in making company's strategies. It is mean that to do the best in predicting is absolute. Until now, to predict the next monthly oil palm productions, the company use simple mean statistics of the latest five-year observations. Lately, imprecision in estimates of oil palm production (overestimate) becomes a problem and the focus of attention in a company. Here we proposed weighted mean approach by using fuzzy concept approach to do estimation and prediction. We obtain that the prediction using fuzzy concept almost always give underestimate of realizations than the simple mean.

  6. Value of Fat-Suppressed Proton-Density-Weighted Turbo Spin-Echo Sequences in Detecting Meniscal Lesions: Comparison with Arthroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Schaefer, F.K.W.; Schaefer, P.J.; Brossmann, J.; Frahm, C.; Hilgert, R.E.; Heller, M.; Jahnke, T. [Univ. Hospital of Schleswig-Holstein, Kiel (Germany). Dept. of Diagnostic Radiology

    2006-07-15

    Purpose: To evaluate fat-suppressed (FS) proton-density-weighted (PDw) turbo spin-echo (TSE) magnetic resonance imaging (MRI) compared to arthroscopy in the detection of meniscal lesions. Material and Methods: In a prospective study, 31 knee joints were imaged on a 1.5T MR scanner before arthroscopy using the following sequences: (a) coronal and sagittal FS-PDw TSE (TR/TE: 4009/15 ms); (b) coronal T1w SE (TR/TE: 722/20 ms), and sagittal PDw TSE (TR/TE: 3800/15 ms). Other imaging parameters were: slice thickness 3 mm, FOV 160 mm, matrix 256x256. A total of 186 meniscal regions (62 menisci; anterior horn, body, posterior horn) were evaluated. Standard of reference was arthroscopy. Sensitivity, specificity, negative predictive value (npv), positive predictive value (ppv), and accuracy were calculated. Results: Arthroscopically, meniscal lesions were detected in 55/186 segments (35 medial and 20 lateral meniscal lesions). Sensitivity, specificity, npv, ppv, and accuracy for combination of coronal and sagittal FS PDw TSE were 91.4%, 98.3%, 95%, 97%, and 93.5% for the medial meniscus, and 90%, 98.6%, 97.3%, 94.7%, and 96.8% for the lateral. The results were comparable to the combination of coronal T1w SE and sagittal PDw TSE for the medial (88.6%, 98.3%, 93.4%, 96.9%, 91.4%) and the lateral (90%, 95.9%, 97.2%, 85.7%, 92.5%) meniscus. Conclusion: FS PDw TSE-MR sequences are an excellent alternative for the detection of meniscal lesions in comparison with diagnostic arthroscopy.

  7. Pre-meal video game playing and a glucose preload suppress food intake in normal weight boys.

    Science.gov (United States)

    Branton, Alyson; Akhavan, Tina; Gladanac, Branka; Pollard, Damion; Welch, Jo; Rossiter, Melissa; Bellissimo, Nick

    2014-12-01

    Increased food intake (FI) during television viewing has been reported in children, but it is unknown if this occurs following pre-meal video game playing (VGP). The objective was to determine the effect of pre-meal VGP for 30 min on subjective appetite and emotions, and FI in normal weight (NW) boys after a glucose or control preload. On four test mornings, NW boys (n = 19) received equally sweetened preloads of a non-caloric sucralose control or 50 g glucose in 250 mL of water, with or without VGP for 30 min. Food intake from an ad libitum pizza meal was measured immediately after. Subjective appetite was measured at 0, 15, 30, and 60 min. Subjective emotions were determined by visual analog scale at baseline and immediately before lunch. Both VGP (p = 0.023) and glucose (p decreased FI by 59 and 170 kcal, respectively. Subjective average appetite increased to 30 min (p = 0.003), but was lower after glucose (p = 0.01) in both the VGP and no-VGP conditions compared with the control. Frustration and aggression scores increased after VGP (p <0.05), but did not correlate with FI. However, baseline and pre-meal happiness and excitement scores were inversely associated with FI. In conclusion, both pre-meal VGP and the glucose preload suppressed FI, supporting the roles of both physiologic and environmental factors in the regulation of short-term FI in 9- to 14-year-old NW boys.

  8. Altered Expression of High Molecular Weight Heat Shock Proteins after OCT4B1 Suppression in Human Tumor Cell Lines

    Directory of Open Access Journals (Sweden)

    Mohammad Reza Mirzaei

    2016-02-01

    Full Text Available Objective: OCT4B1, a novel variant of OCT4, is expressed in cancer cell lines and tissues. Based on our previous reports, OCT4B1 appears to have a crucial role in regulating apoptosis as well as stress response [heat shock proteins (HSPs] pathways. The aim of the present study was to determine the effects of OCT4B1 silencing on the expression of high molecular weight HSPs in three different human tumor cell lines. Materials and Methods: In this experimental study, OCT4B1 expression was suppressed in AGS (gastric adenocarcinoma, 5637 (bladder tumor and U-87MG (brain tumor cell lines using RNAi strategy. Real-time polymerase chain reaction (PCR array was employed for expression level analysis and the fold changes were calculated using RT2 Profiler PCR array data analysis software version 3.5. Results: Our data revealed up-regulation of HSPD1 (from HSP60 family as well as HSPA14, HSPA1L, HSPA4, HSPA5 and HSPA8 (from HSP70 family following OCT4B1 knock-down in all three cell lines. In contrast, the expression of HSP90AA1 and HSP- 90AB1 (from HSP90 family as well as HSPA1B and HSPA6 (from HSP70 family was down-regulated under similar conditions. Other stress-related genes showed varying expression pattern in the examined tumor cell lines. Conclusion: Our data suggest a direct or indirect correlation between the expression of OCT4B1 and HSP90 gene family. However, OCT4B1 expression was not strongly correlated with the expression of HSP70 and HSP60 gene families.

  9. Food freezing with simultaneous surface dehydration: approximate prediction of weight loss during freezing and storage

    Energy Technology Data Exchange (ETDEWEB)

    Campanone, Laura A.; Salvadori, Viviana O.; Mascheroni, Rodolfo H. [Centro de Investigacion Desarollo en Criotecnologia de Alimentos (CIDCA), Facultad de Ciencias Exactas, La Plata (Argentina); MODIAL, Facultad de Ingenieria, La Plata (Argentina)

    2005-03-01

    Weight loss of unpackaged foods during freezing and later storage is an important quality and economic issue. It is originated on surface ice sublimation due to differences in water activity between food surface and the refrigerating air. Weight loss rate is determined by refrigerating conditions and product characteristics. The modelling of this phenomenon has merited very little attention; at present there are no simplified methods to predict weight losses during the freezing and the storage of unpackaged foods. In previous studies we developed a detailed model for the simultaneous heat and mass transfer during food freezing and storage with ice sublimation. Based on the information of this numerical model, simplified analytical methods for the prediction of weight loss during the freezing and the storage of unpackaged frozen foods were developed. The methods account for product characteristics and storage conditions. The prediction equations are very simple and results of their use - simulating usual freezing and storage conditions for different products - give very good accuracy when tested against the previously cited numerical model and experimental data. (Author)

  10. Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights.

    Science.gov (United States)

    Lian, Cheng; Zeng, Zhigang; Yao, Wei; Tang, Huiming; Chen, Chun Lung Philip

    2016-12-01

    In this paper, we propose a new approach to establish a landslide displacement forecasting model based on artificial neural networks (ANNs) with random hidden weights. To quantify the uncertainty associated with the predictions, a framework for probabilistic forecasting of landslide displacement is developed. The aim of this paper is to construct prediction intervals (PIs) instead of deterministic forecasting. A lower-upper bound estimation (LUBE) method is adopted to construct ANN-based PIs, while a new single hidden layer feedforward ANN with random hidden weights for LUBE is proposed. Unlike the original implementation of LUBE, the input weights and hidden biases of the ANN are randomly chosen, and only the output weights need to be adjusted. Combining particle swarm optimization (PSO) and gravitational search algorithm (GSA), a hybrid evolutionary algorithm, PSOGSA, is utilized to optimize the output weights. Furthermore, a new ANN objective function, which combines a modified combinational coverage width-based criterion with one-norm regularization, is proposed. Two benchmark data sets and two real-world landslide data sets are presented to illustrate the capability and merit of our method. Experimental results reveal that the proposed method can construct high-quality PIs.

  11. Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight

    Science.gov (United States)

    Cui, Zhaohui; Stevens, June; Truesdale, Kimberly P.; Zeng, Donglin; French, Simone; Gordon-Larsen, Penny

    2016-01-01

    Objective To compare alternative models for the imputation of BMIM (measured weight in kilograms/measured height in meters squared) in a longitudinal study. Methods We used data from 11,008 adults examined at wave III (2001–2002) and wave IV (2007–2008) in the National Longitudinal Study of Adolescent to Adult Health. Participants were asked their height and weight before being measured. Equations to predict wave IV BMIM were developed in an 80% random subsample and evaluated in the remaining participants. The validity of models that included BMI constructed from previously measured height and weight (BMIPM) was compared to the validity of models that used BMI calculated from concurrently self-reported height and weight (BMISR). The usefulness of including demographics and perceived weight category in those models was also examined. Results The model that used BMISR, compared to BMIPM, as the only variable produced a larger R2 (0.913 vs. 0.693), a smaller root mean square error (2.07 vs. 3.90 kg/m2) and a lower bias between normal-weight participants and those with obesity (0.98 vs. 4.24 kg/m2). The performance of the model containing BMISR alone was not substantially improved by the addition of demographics, perceived weight category or BMIPM. Conclusions Our work is the first to show that concurrent self-reports of height and weight may be more useful than previously measured height and weight for imputation of missing BMIM when the time interval between measures is relatively long. Other time frames and alternatives to in-person collection of self-reported data need to be examined. PMID:27898706

  12. Comparative effects of the long-acting GLP-1 receptor ligands, liraglutide and exendin-4, on food intake and body weight suppression in rats.

    Science.gov (United States)

    Hayes, Matthew R; Kanoski, Scott E; Alhadeff, Amber L; Grill, Harvey J

    2011-07-01

    The glucagon-like-peptide-1 receptor (GLP-1R) agonists, liraglutide (Victoza) and the synthetic product of exendin-4 (Byetta), are approved for type II diabetes mellitus (T2DM) treatment and may be efficacious in obesity treatment as well, in part, due to the drugs' resistance to enzymatic degradation and prolonged half-life relative to endogenous GLP-1. To address the need to directly compare the food intake- and body weight-suppressive effects of these two GLP-1R ligands, acute and chronic dosing experiments were performed. Once-daily (q.d.) exendin-4 (0, 0.33, 1.5, and 3.0 µg/kg) and liraglutide (0, 50, 100, and 300 µg/kg, q.d.) both reduced the chow intake in nonobese rats in a dose-dependent fashion following either intraperitoneal (IP) or subcutaneous (SC) administration, whereas only liraglutide reduced 24 and 48 h body weight in nonobese, chow-maintained rats. Chow intake and body weight suppression by liraglutide were of greater magnitude and shorter latency following IP compared to SC delivery, whereas for exendin-4, the magnitude of intake-suppression was similar for IP and SC administration. The effects of chronic delivery (7 consecutive days; IP) of liraglutide (25 and 50 µg/kg; q.d.) and exendin-4 (3 µg/kg; q.d. and twice-daily (b.i.d.)) on food intake and body weight were also examined in diet-induced obese (DIO) rats. Liraglutide (50 µg/kg q.d.) and exendin-4 (3 µg/kg b.i.d.) were comparable in suppressing overall high fat/sucrose diet (HFS; 60% kcal from fat) intake. Both drugs regimens yielded marked weight loss over the 7-day period. The weight loss effect of liraglutide was achieved in the first 2 days and remained stable for the duration of the experiment; weight loss with exendin-4 appeared more linear over the 7-day period. In conclusion, administration of the GLP-1R ligands, exendin-4 (b.i.d.) and liraglutide (q.d.), lead to comparable and pronounced suppression of food intake and body weight in DIO rats, suggesting a potential role

  13. Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa.

    Science.gov (United States)

    DeGuzman, Marisa; Shott, Megan E; Yang, Tony T; Riederer, Justin; Frank, Guido K W

    2017-06-01

    Anorexia nervosa is a psychiatric disorder of unknown etiology. Understanding associations between behavior and neurobiology is important in treatment development. Using a novel monetary reward task during functional magnetic resonance brain imaging, the authors tested how brain reward learning in adolescent anorexia nervosa changes with weight restoration. Female adolescents with anorexia nervosa (N=21; mean age, 16.4 years [SD=1.9]) underwent functional MRI (fMRI) before and after treatment; similarly, healthy female control adolescents (N=21; mean age, 15.2 years [SD=2.4]) underwent fMRI on two occasions. Brain function was tested using the reward prediction error construct, a computational model for reward receipt and omission related to motivation and neural dopamine responsiveness. Compared with the control group, the anorexia nervosa group exhibited greater brain response 1) for prediction error regression within the caudate, ventral caudate/nucleus accumbens, and anterior and posterior insula, 2) to unexpected reward receipt in the anterior and posterior insula, and 3) to unexpected reward omission in the caudate body. Prediction error and unexpected reward omission response tended to normalize with treatment, while unexpected reward receipt response remained significantly elevated. Greater caudate prediction error response when underweight was associated with lower weight gain during treatment. Punishment sensitivity correlated positively with ventral caudate prediction error response. Reward system responsiveness is elevated in adolescent anorexia nervosa when underweight and after weight restoration. Heightened prediction error activity in brain reward regions may represent a phenotype of adolescent anorexia nervosa that does not respond well to treatment. Prediction error response could be a neurobiological marker of illness severity that can indicate individual treatment needs.

  14. Predictions for bottomonia suppression in 5.023 TeV Pb-Pb collisions

    CERN Document Server

    Krouppa, Brandon

    2016-01-01

    We compute the suppression of the bottomonia states Upsilon(1S), Upsilon(2S), Upsilon(3S), chi_b(1P), chi_b(2P), and chi_b(3P) states in LHC sqrt(s_NN) = 5.023 TeV Pb-Pb collisions. For the background evolution we use 3+1d anisotropic hydrodynamics with conditions extrapolated from sqrt(s_NN) = 2.76 TeV and we self-consistently compute bottomonia decay rates including non-equilibrium corrections to the interaction potential. For our final results, we make predictions for R_AA as function of centrality, rapidity, and p_T for the Upsilon(1S) and Upsilon(2S) states including feed down effects. In order to assess the dependence on some of the model assumptions, we vary the shear viscosity to entropy density ratio, 4 pi eta/s in {1,2,3}, and the initial momentum-space anisotropy parameter, xi_0 in {0, 10, 50}, while holding the total light hadron multiplicity fixed.

  15. Predictions for Bottomonia Suppression in 5.023 TeV Pb-Pb Collisions

    Directory of Open Access Journals (Sweden)

    Brandon Krouppa

    2016-08-01

    Full Text Available We compute the suppression of the bottomonia states Υ ( 1 S , Υ ( 2 S , Υ ( 3 S , χ b ( 1 P , χ b ( 2 P , and χ b ( 3 P states in Large Hadron Collider (LHC s N N = 5.023 TeV Pb-Pb collisions. For the background evolution we use 3+1d anisotropic hydrodynamics with conditions extrapolated from s N N = 2.76 TeV and we self-consistently compute bottomonia decay rates including non-equilibrium corrections to the interaction potential. For our final results, we make predictions for R A A as function of centrality, rapidity, and p T for the Υ ( 1 S and Υ ( 2 S states, including feed down effects. In order to assess the dependence on some of the model assumptions, we vary the shear viscosity-to-entropy density ratio, 4 π η / s ∈ { 1 , 2 , 3 } , and the initial momentum-space anisotropy parameter, ξ 0 ∈ { 0 , 10 , 50 } , while holding the total light hadron multiplicity fixed.

  16. Myocardial oxygen consumption change predicts left ventricular relaxation improvement in obese humans after weight loss.

    Science.gov (United States)

    Lin, C Huie; Kurup, Suraj; Herrero, Pilar; Schechtman, Kenneth B; Eagon, J Christopher; Klein, Samuel; Dávila-Román, Víctor G; Stein, Richard I; Dorn, Gerald W; Gropler, Robert J; Waggoner, Alan D; Peterson, Linda R

    2011-09-01

    Obesity adversely affects myocardial metabolism, efficiency, and diastolic function. Our objective was to determine whether weight loss can ameliorate obesity-related myocardial metabolism and efficiency derangements and that these improvements directly relate to improved diastolic function in humans. We studied 30 obese (BMI >30 kg/m2) subjects with positron emission tomography (PET) (myocardial metabolism, blood flow) and echocardiography (structure, function) before and after marked weight loss from gastric bypass surgery (N = 10) or moderate weight loss from diet (N = 20). Baseline BMI, insulin resistance, hemodynamics, left ventricular (LV) mass, systolic function, myocardial oxygen consumption (MVO2), and fatty acid (FA) metabolism were similar between the groups. MVO2/g decreased after diet-induced weight loss (P = 0.009). Total MVO2 decreased after dietary (P = 0.02) and surgical weight loss (P = 0.0006) and was related to decreased BMI (P = 0.006). Total myocardial FA utilization decreased (P = 0.03), and FA oxidation trended lower (P = 0.06) only after surgery. FA esterification and LV efficiency were unchanged. After surgical weight loss, LV mass decreased by 23% (Doppler-derived) E/E' by 33%, and relaxation increased (improved) by 28%. Improved LV relaxation related significantly to decreased BMI, insulin resistance, total MVO2, and LV mass but not FA utilization. Decreased total MVO(2) predicted LV relaxation improvement independent of BMI change (P = 0.02). Weight loss can ameliorate the obesity-related derangements in myocardial metabolism and LV structure and diastolic function. Decreased total MVO2 independently predicted improved LV relaxation, suggesting that myocardial oxygen metabolism may be mechanistically important in determining cardiac relaxation.

  17. Early Weight Gain Predicts Outcome in Two Treatments for Adolescent Anorexia Nervosa

    Science.gov (United States)

    Le Grange, Daniel; Accurso, Erin C.; Lock, James; Agras, Stewart; Bryson, Susan W.

    2015-01-01

    Objective Determine whether early weight gain predicts full remission at end-of-treatment (EOT) and follow-up in two different treatments for adolescent anorexia nervosa, and to track the rate of weight gain throughout treatment and follow-up. Method Participants were 121 adolescents with AN (mean age = 14.4 years, SD = 1.6), from a two-site (Chicago and Stanford) randomized controlled trial. Adolescents were randomly assigned to family-based treatment (FBT) (n=61) or individual adolescent supportive psychotherapy (AFT) (n=60). Treatment response was assessed using percent of expected body weight (EBW) and the global score on the Eating Disorder Examination (EDE). Full remission was defined as having achieved ≥95% EBW and within one standard deviation of the community norms of the EDE. Full remission was assessed at EOT as well as 12-month follow-up. Results Receiver operating characteristic analyses showed that the earliest predictor of remission at EOT was a gain of 5.8 pounds (2.65 kg) by session 3 in FBT (AUC = .670; p=.043), and a gain of 7.1 pounds (3.20 kg) by session 4 in AFT (AUC=0.754, p=.014). Early weight gain did not predict remission at follow-up for either treatment. A survival analysis showed that weight was marginally superior in FBT as opposed to AFT (Wald chi-square=3.692, df=1, p=.055). Conclusion Adolescents with AN who receive either FBT or AFT, and show early weight gain, are likely to remit at EOT. However, FBT is superior to AFT in terms of weight gain throughout treatment and follow-up. PMID:24190844

  18. Self-Reported Hedonism Predicts 12-Month Weight Loss After Roux-en-Y Gastric Bypass.

    Science.gov (United States)

    Alfonsson, Sven; Weineland-Strandskov, Sandra; Sundbom, Magnus

    2017-08-01

    Research regarding psychological risk factors for reduced weight loss after bariatric surgery has yielded mixed results, especially for variables measured prior to surgery. More profound personality factors have shown better promise and one such factor that may be relevant in this context is time perspective, i.e., the tendency to focus on present or future consequences. The aim of this study was to investigate the predictive value of time perspective for 12-month weight loss after Roux-en-Y gastric bypass surgery. A total of 158 patients were included and completed self-report instruments prior to surgery. Weight loss was measured after 12 months by medical staff. Background variables as well as self-reported disordered eating, psychological distress, and time perspective were analyzed with regression analysis to identify significant predictors for 12-month weight loss. The mean BMI loss at 12 months was 14 units, from 45 to 30 kg/m(2). Age, sex, and time perspective could significantly predict weight loss but only male sex and self-reported hedonism were independent risk factors for reduced weight loss in the final regression model. In this study, self-reported hedonistic time perspective proved to be a better predictor for 12-month weight loss than symptoms of disordered eating and psychological distress. It is possible that a hedonistic tendency of focusing on immediate consequences and rewards is analogous to the impaired delay discounting seen in previous studies of bariatric surgery candidates. Further studies are needed to identify whether these patients may benefit from extended care and support after surgery.

  19. Brain volume reduction predicts weight development in adolescent patients with anorexia nervosa.

    Science.gov (United States)

    Seitz, Jochen; Walter, Martin; Mainz, Verena; Herpertz-Dahlmann, Beate; Konrad, Kerstin; von Polier, Georg

    2015-09-01

    Acute anorexia nervosa (AN) is associated with marked brain volume loss potentially leading to neuropsychological deficits. However, the mechanisms leading to this brain volume loss and its influencing factors are poorly understood and the clinical relevance of these brain alterations for the outcome of these AN-patients is yet unknown. Brain volumes of 56 female adolescent AN inpatients and 50 healthy controls (HCs) were measured using MRI scans. Multiple linear regression analyses were used to determine the impact of body weight at admission, prior weight loss, age of onset and illness duration on volume loss at admission and to analyse the association of brain volume reduction with body weight at a 1-year follow-up (N = 25). Cortical and subcortical grey matter (GM) and cortical white matter (WM) but not cerebellar GM or WM were associated with low weight at admission. Amount of weight loss, age of onset and illness duration did not independently correlate with any volume changes. Prediction of age-adjusted standardized body mass index (BMI-SDS) at 1-year follow-up could be significantly improved from 34% of variance explained by age and BMI-SDS at admission to 47.5-53% after adding cortical WM, cerebellar GM or WM at time of admission. Whereas cortical GM changes appear to be an unspecific reflection of current body weight ("state marker"), cortical WM and cerebellar volume losses seem to indicate a longer-term risk (trait or "scar" of the illness), which appear to be important for the prediction of weight rehabilitation and long-term outcome. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Choice is good, but relevance is excellent: autonomy-enhancing and suppressing teacher behaviours predicting students' engagement in schoolwork.

    Science.gov (United States)

    Assor, Avi; Kaplan, Haya; Roth, Guy

    2002-06-01

    This article examines two questions concerning teacher-behaviours that are characterised in Self-Determination Theory (Ryan & Deci, 2000) as autonomy-supportive or suppressive: (1) Can children differentiate among various types of autonomy-enhancing and suppressing teacher behaviours? (2) Which of those types of behaviour are particularly important in predicting feelings toward and engagement in schoolwork? It was hypothesised that teacher behaviours that help students to understand the relevance of schoolwork for their personal interests and goals are particularly important predictors of engagement in schoolwork. Israeli students in grades 3-5 (N = 498) and in grades 6-8 (N = 364) completed questionnaires assessing the variables of interest. Smallest Space Analyses indicated that both children and early adolescents can differentiate among three types of autonomy enhancing teacher behaviours - fostering relevance, allowing criticism, and providing choice - and three types of autonomy suppressing teacher behaviours - suppressing criticism, intruding, and forcing unmeaningful acts. Regression analyses supported the hypothesis concerning the importance of teacher behaviours that clarify the personal relevance of schoolwork. Among the autonomy-suppressing behaviours, 'Criticism-suppression' was the best predictor of feelings and engagement. The findings underscore the active and empathic nature of teachers' role in supporting students' autonomy, and suggest that autonomy-support is important not only for early adolescents but also for children. Discussion of potential determinants of the relative importance of various autonomy-affecting teacher actions suggests that provision of choice should not always be viewed as a major indicator of autonomy support.

  1. Weight Changes in Patients with Differentiated Thyroid Carcinoma during Postoperative Long-Term Follow-up under Thyroid Stimulating Hormone Suppression

    Directory of Open Access Journals (Sweden)

    Seo Young Sohn

    2015-09-01

    Full Text Available BackgroundThere are limited data about whether patients who receive initial treatment for differentiated thyroid cancer (DTC gain or lose weight during long-term follow-up under thyroid stimulating hormone (TSH suppression. This study was aimed to evaluate whether DTC patients under TSH suppression experience long-term weight gain after initial treatment. We also examined the impact of the radioactive iodine ablation therapy (RAIT preparation method on changes of weight, comparing thyroid hormone withdrawal (THW and recombinant human TSH (rhTSH.MethodsWe retrospectively reviewed 700 DTC patients who underwent a total thyroidectomy followed by either RAIT and levothyroxine (T4 replacement or T4 replacement alone. The control group included 350 age-matched patients with benign thyroid nodules followed during same period. Anthropometric data were measured at baseline, 1 to 2 years, and 3 to 4 years after thyroidectomy. Comparisons were made between weight and body mass index (BMI at baseline and follow-up.ResultsSignificant gains in weight and BMI were observed 3 to 4 years after initial treatment for female DTC but not in male patients. These gains among female DTC patients were also significant compared to age-matched control. Women in the THW group gained a significant amount of weight and BMI compared to baseline, while there was no increase in weight or BMI in the rhTSH group. There were no changes in weight and BMI in men according to RAIT preparation methods.ConclusionFemale DTC patients showed significant gains in weight and BMI during long-term follow-up after initial treatment. These changes were seen only in patients who underwent THW for RAIT.

  2. Weighted Marking, Clique Structure and Node-Weighted Centrality to Predict Distribution Centre’s Location in a Supply Chain Management

    Directory of Open Access Journals (Sweden)

    Amidu A. G. Akanmu

    2014-12-01

    Full Text Available Despite the importance attached to the weights or strengths on the edges of a graph, a graph is only complete if it has both the combinations of nodes and edges. As such, this paper brings to bare the fact that the node-weight of a graph is also a critical factor to consider in any graph/network’s evaluation, rather than the link-weight alone as commonly considered. In fact, the combination of the weights on both the nodes and edges as well as the number of ties together contribute effectively to the measure of centrality for an entire graph or network, thereby clearly showing more information. Two methods which take into consideration both the link-weights and node-weights of graphs (the Weighted Marking method of prediction of location and the Clique/Node-Weighted centrality measures are considered, and the result from the case studies shows that the clique/node-weighted centrality measures give an accuracy of 18% more than the weighted marking method, in the prediction of Distribution Centre location of the Supply Chain Management.

  3. Intake of Sweets, Snacks and Soft Drinks Predicts Weight Gain in Obese Pregnant Women

    DEFF Research Database (Denmark)

    Renault, Kristina M; Carlsen, Emma M; Nørgaard, Kirsten

    2015-01-01

    significantly lowered their intakes of added sugars and saturated fat and increased their protein intake by ~1% of total energy compared to controls. Of these dietary variables only intakes of added sugar appeared to be related to GWG, while no association was observed for saturated fat or protein. Further...... analyses revealed that foods that contributed to intake of added sugars, including sweets, snacks, cakes, and soft drinks were strongly associated with weight gain, with women consuming sweets ≥2/day having 5.4 kg (95% CI 2.1-8.7) greater weight gain than those with a low (intake. The results...... for soft drinks were more conflicting, as women with high weight gain tended to favour artificially sweetened soft drinks. CONCLUSION: In our sample of obese pregnant women, craving for sweets, snacks, and soft drinks strongly predicts GWG. Emphasis on reducing intakes of these foods may be more relevant...

  4. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review.

    Science.gov (United States)

    Boswell, Rebecca G; Kober, Hedy

    2016-02-01

    According to learning-based models of behavior, food cue reactivity and craving are conditioned responses that lead to increased eating and subsequent weight gain. However, evidence supporting this relationship has been mixed. We conducted a quantitative meta-analysis to assess the predictive effects of food cue reactivity and craving on eating and weight-related outcomes. Across 69 reported statistics from 45 published reports representing 3,292 participants, we found an overall medium effect of food cue reactivity and craving on outcomes (r = 0.33, p food cues (e.g. pictures and videos) were associated with a similar effect size to real food exposure and a stronger effect size than olfactory cues. Overall, the present findings suggest that food cue reactivity, cue-induced craving and tonic craving systematically and prospectively predict food-related outcomes. These results have theoretical, methodological, public health and clinical implications.

  5. The sensorimotor system minimizes prediction error for object lifting when the object's weight is uncertain.

    Science.gov (United States)

    Brooks, Jack; Thaler, Anne

    2017-08-01

    A reliable mechanism to predict the heaviness of an object is important for manipulating an object under environmental uncertainty. Recently, Cashaback et al. (Cashaback JGA, McGregor HR, Pun HCH, Buckingham G, Gribble PL. J Neurophysiol 117: 260-274, 2017) showed that for object lifting the sensorimotor system uses a strategy that minimizes prediction error when the object's weight is uncertain. Previous research demonstrates that visually guided reaching is similarly optimized. Although this suggests a unified strategy of the sensorimotor system for object manipulation, the selected strategy appears to be task dependent and subject to change in response to the degree of environmental uncertainty. Copyright © 2017 the American Physiological Society.

  6. Maternal feeding practices predict weight gain and obesogenic eating behaviors in young children: a prospective study

    Directory of Open Access Journals (Sweden)

    Rodgers Rachel F

    2013-02-01

    Full Text Available Abstract Background Maternal feeding practices have been proposed to play an important role in early child weight gain and obesogenic eating behaviors. However, to date longitudinal investigations in young children exploring these relationships have been lacking. The aim of the present study was to explore prospective relationships between maternal feeding practices, child weight gain and obesogenic eating behaviors in 2-year-old children. The competing hypothesis that child eating behaviors predict changes in maternal feeding practices was also examined. Methods A sample of 323 mother (mean age = 35 years, ± 0.37 and child dyads (mean age = 2.03 years, ± 0.37 at recruitment were participants. Mothers completed a questionnaire assessing parental feeding practices and child eating behaviors at baseline and again one year later. Child BMI (predominantly objectively measured was obtained at both time points. Results Increases in child BMI z-scores over the follow-up period were predicted by maternal instrumental feeding practices. Furthermore, restriction, emotional feeding, encouragement to eat, weight-based restriction and fat restriction were associated prospectively with the development of obesogenic eating behaviors in children including emotional eating, tendency to overeat and food approach behaviors (such as enjoyment of food and good appetite. Maternal monitoring, however, predicted decreases in food approach eating behaviors. Partial support was also observed for child eating behaviors predicting maternal feeding practices. Conclusions Maternal feeding practices play an important role in the development of weight gain and obesogenic eating behaviors in young children and are potential targets for effective prevention interventions aiming to decrease child obesity.

  7. Bioelectrical impedance analysis for the prediction of hot carcass weight in buffalo calf

    Directory of Open Access Journals (Sweden)

    Leopoldo Iannuzzi

    2010-01-01

    Full Text Available Twenty young buffalo male calves were fed ad libitum with a total mix ration and with vitamin-mineral integration for 14 months. Seven days before slaughter, the animals were weighed and bioelectrical impedance measurements were collected in live animals. Physical and chemical characteristics were assessed on the Longissimus dorsi muscle after slaughter. Correlations and regression equations were calculated to determine the possible use of bioelectrical impedance for evaluating hot carcass weight. Bioelectrical impedance analysis at different frequencies, simple correlation and analysis of regression were examined for all the data collected, supporting the possibility of hot carcass weight prediction with equation at multifrequency. The results show that, probably due to the variability in animal live weight, the distribution of the colour parameters was not normally distributed. Moreover, using different frequencies of resistance and reactance, hot carcass weight in buffalo may be predicted with the following equation: Y=98.47–8.84(Rs100KHz+4.41(Rs1000 KHz-116.27(Xc5 KHz+51.04(Xc50 KHz+20.30(Xc100 KHz-33.92(Xc500 KHz+9.01(Xc1000 KHz±ε (Adjusted R Square value of .907 and SE of 5.728 However, further studies are required to improve the technique also in buffalo, after standardization of the method.

  8. BMI predicts emotion-driven impulsivity and cognitive inflexibility in adolescents with excess weight.

    Science.gov (United States)

    Delgado-Rico, Elena; Río-Valle, Jacqueline S; González-Jiménez, Emilio; Campoy, Cristina; Verdejo-García, Antonio

    2012-08-01

    Adolescent obesity is increasingly viewed as a brain-related dysfunction, whereby reward-driven urges for pleasurable foods "hijack" response selection systems, such that behavioral control progressively shifts from impulsivity to compulsivity. In this study, we aimed to examine the link between personality factors (sensitivity to reward (SR) and punishment (SP), BMI, and outcome measures of impulsivity vs. flexibility in--otherwise healthy--excessive weight adolescents. Sixty-three adolescents (aged 12-17) classified as obese (n = 26), overweight (n = 16), or normal weight (n = 21) participated in the study. We used psychometric assessments of the SR and SP motivational systems, impulsivity (using the UPPS-P scale), and neurocognitive measures with discriminant validity to dissociate inhibition vs. flexibility deficits (using the process-approach version of the Stroop test). We tested the relative contribution of age, SR/SP, and BMI on estimates of impulsivity and inhibition vs. switching performance using multistep hierarchical regression models. BMI significantly predicted elevations in emotion-driven impulsivity (positive and negative urgency) and inferior flexibility performance in adolescents with excess weight--exceeding the predictive capacity of SR and SP. SR was the main predictor of elevations in sensation seeking and lack of premeditation. These findings demonstrate that increases in BMI are specifically associated with elevations in emotion-driven impulsivity and cognitive inflexibility, supporting a dimensional path in which adolescents with excess weight increase their proneness to overindulge when under strong affective states, and their difficulties to switch or reverse habitual behavioral patterns.

  9. Ain’t no mountain high enough? Setting high weight loss goals predicts effort and short-term weight loss

    NARCIS (Netherlands)

    Vet, de E.; Nelissen, R.M.A.; Zeelenberg, M.; Ridder, de D.T.D.

    2013-01-01

    Although psychological theories outline that it might be beneficial to set more challenging goals, people attempting to lose weight are generally recommended to set modest weight loss goals. The present study explores whether the amount of weight loss individuals strive for is associated with more p

  10. Ain’t no mountain high enough? Setting high weight loss goals predicts effort and short-term weight loss

    NARCIS (Netherlands)

    Vet, de E.; Nelissen, R.M.A.; Zeelenberg, M.; Ridder, de D.T.D.

    2013-01-01

    Although psychological theories outline that it might be beneficial to set more challenging goals, people attempting to lose weight are generally recommended to set modest weight loss goals. The present study explores whether the amount of weight loss individuals strive for is associated with more

  11. Misperceived pre-pregnancy body weight status predicts excessive gestational weight gain: findings from a US cohort study

    Directory of Open Access Journals (Sweden)

    Rifas-Shiman Sheryl L

    2008-12-01

    Full Text Available Abstract Background Excessive gestational weight gain promotes poor maternal and child health outcomes. Weight misperception is associated with weight gain in non-pregnant women, but no data exist during pregnancy. The purpose of this study was to examine the association of misperceived pre-pregnancy body weight status with excessive gestational weight gain. Methods At study enrollment, participants in Project Viva reported weight, height, and perceived body weight status by questionnaire. Our study sample comprised 1537 women who had either normal or overweight/obese pre-pregnancy BMI. We created 2 categories of pre-pregnancy body weight status misperception: normal weight women who identified themselves as overweight ('overassessors' and overweight/obese women who identified themselves as average or underweight ('underassessors'. Women who correctly perceived their body weight status were classified as either normal weight or overweight/obese accurate assessors. We performed multivariable logistic regression to determine the odds of excessive gestational weight gain according to 1990 Institute of Medicine guidelines. Results Of the 1029 women with normal pre-pregnancy BMI, 898 (87% accurately perceived and 131 (13% overassessed their weight status. 508 women were overweight/obese, of whom 438 (86% accurately perceived and 70 (14% underassessed their pre-pregnancy weight status. By the end of pregnancy, 823 women (54% gained excessively. Compared with normal weight accurate assessors, the adjusted odds of excessive gestational weight gain was 2.0 (95% confidence interval [CI]: 1.3, 3.0 in normal weight overassessors, 2.9 (95% CI: 2.2, 3.9 in overweight/obese accurate assessors, and 7.6 (95% CI: 3.4, 17.0 in overweight/obese underassessors. Conclusion Misperceived pre-pregnancy body weight status was associated with excessive gestational weight gain among both normal weight and overweight/obese women, with the greatest likelihood of excessive

  12. Predicting stroke evolution: comparison of susceptibility-weighted MR imaging with MR perfusion

    Energy Technology Data Exchange (ETDEWEB)

    Kao, Hung-Wen [University of California at Irvine Medical Center, Department of Radiological Sciences, Irvine, CA (United States); Tri-Service General Hospital, National Defense Medical Center, Department of Radiology, Taipei City (China); Tsai, Fong Y. [University of California at Irvine Medical Center, Department of Radiological Sciences, Irvine, CA (United States); Taipei Medical University, Medical Imaging Research Center, Taipei City (China); Hasso, Anton N. [University of California at Irvine Medical Center, Department of Radiological Sciences, Irvine, CA (United States)

    2012-07-15

    To investigate the ability of susceptibility-weighted imaging (SWI) to predict stroke evolution in comparison with perfusion-weighted imaging (PWI). In a retrospective analysis of 15 patients with non-lacunar ischaemic stroke studied no later than 24 h after symptom onset, we used the Alberta Stroke Program Early CT Score (ASPECTS) to compare lesions on initial diffusion-weighted images (DWI), SWI, PWI and follow-up studies obtained at least 5 days after symptom onset. The National Institutes of Health Stroke Scale scores at entry and stroke risk factors were documented. The clinical-DWI, SWI-DWI and PWI-DWI mismatches were calculated. SWI-DWI and mean transit time (MTT)-DWI mismatches were significantly associated with higher incidence of infarct growth (P = 0.007 and 0.028) and had similar ability to predict stroke evolution (P = 1.0). ASPECTS values on initial DWI, SWI and PWI were significantly correlated with those on follow-up studies (P {<=} 0.026) but not associated with infarct growth. The SWI ASPECTS values were best correlated with MTT ones ({rho} = 0.8, P < 0.001). SWI is an alternative to PWI to assess penumbra and predict stroke evolution. Further prospective studies are needed to evaluate the role of SWI in guiding thrombolytic therapy. (orig.)

  13. Predicting neurodevelopmental outcomes at preschool age for children with very low birth weight.

    Science.gov (United States)

    Howe, Tsu-Hsin; Sheu, Ching-Fan; Hsu, Yung-Wen; Wang, Tien-Ni; Wang, Lan-Wan

    2016-01-01

    The purpose of this study was to examine predictors of neurodevelopmental outcome in very low birth weight children without major impairment at 5 years of age, as well as to identify the contribution of early neurodevelopmental assessment to preterm children's later developmental outcomes. The participants in this study included 126 children who were prematurely born with very low birth weight. Outcomes of the childrens' later development were measured in tests that factored cognitive function, motor performance, and adaptive behavior. The results indicated that more than 50% of full-scale intelligence and 30% of both motor performance and adaptive behavior at the age of 5 can be explained by four predictors. The four predictors include preterm children's medical complications at birth, maternal education, early motor assessments, and cognitive assessments. Adding each test score obtained in early ages provides additional information to predict children's cognitive, motor, and adaptive behavior at 5 years of age. Manifold assessments conducted in multiple time periods strengthen the predictive values of later developmental outcomes. In addition, the findings of this study indicate that very low birth weight children tend to have lower adaptive behavior at 5 years old. With regard to our findings, we believe that having adaptive function is a reflection of a child's overall integrated abilities. Further study is warranted to increase understanding of this topic, as well as to be able to predict adaptive strengths and weakness and pinpoint limiting factors that may be useful for targeting behaviors in intervention.

  14. Intelligent and Effective Heart Disease Prediction System using Weighted Associative Classifiers

    Directory of Open Access Journals (Sweden)

    Jyoti soni,

    2011-06-01

    Full Text Available The healthcare environment is still ‘information rich’ But ‘knowledge poor’. There is a wealth of data available within the health care systems. However, there is a lack of effective analysis tools todiscover hidden relationships in data. The aim of this work is to design a GUI based Interface to enter the patient record and predict whether the patient is having Heart disease or not using Weighted Association rule based Classifier. The prediction is performed from mining the patient’s historical data or data repository. In Weighted Associative Classifier (WAC, different weights are assigned to different attributes according to their predicting capability. It has already been proved that the Associative Classifiers are performing well than traditional classifiers approaches such as decision tree and rule induction. Further from experimental results it has been found that WAC is providing improved accuracy as compare to other already existing Associative Classifiers. Hence the system is using WAC as a Data mining technique to generate rule base. The system has been implemented in java Platform and trained using benchmark data from UCI machine learning repository. The system is expandable for thenew dataset.

  15. Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses

    Energy Technology Data Exchange (ETDEWEB)

    Thomassin-Naggara, Isabelle [Hopital Tenon, Assistance Publique Hopitaux de Pariss, Department of Radiology, Paris (France); Universite Rene Descartes, LRI-EA4062, Paris (France); Darai, Emile [Hopital Tenon, Assistance Publique Hopitaux de Pariss, Department of Gynecology-Obstetrics, Paris (France); Cuenod, Charles A.; Fournier, Laure [Universite Rene Descartes, LRI-EA4062, Paris (France); Hopital Europeen Georges Pompidou (HEGP), Assistance Publique Hopitaux de Paris, Department of Radiology, Paris (France); Toussaint, Irwin; Marsault, Claude; Bazot, Marc [Hopital Tenon, Assistance Publique Hopitaux de Pariss, Department of Radiology, Paris (France)

    2009-06-15

    The purpose of this study was to prospectively assess the contribution of diffusion-weighted MR imaging (DWI) for characterizing complex adnexal masses. Seventy-seven women (22-87 years old) with complex adnexal masses (30 benign and 47 malignant) underwent MR imaging including DWI before surgery. Conventional morphological MR imaging criteria were recorded in addition to b{sub 1,000} signal intensity and apparent diffusion coefficient (ADC) measurements of cystic and solid components. Positive likelihood ratios (PLR) were calculated for predicting benignity and malignancy. The most significant criteria for predicting benignity were low b{sub 1,000} signal intensity within the solid component (PLR = 10.9), low T2 signal intensity within the solid component (PLR = 5.7), absence of solid portion (PLR = 3.1), absence of ascites or peritoneal implants (PLR = 2.3) and absence of papillary projections (PLR = 2.3). ADC measurements did not contribute to differentiating benign from malignant adnexal masses. All masses that displayed simultaneously low signal intensity within the solid component on T2-weighted and on b{sub 1,000} diffusion-weighted images were benign. Alternatively, the presence of a solid component with intermediate T2 signal and high b{sub 1,000} signal intensity was associated with a PLR of 4.5 for a malignant adnexal tumour. DWI signal intensity is an accurate tool for predicting benignity of complex adnexal masses. (orig.)

  16. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

    NARCIS (Netherlands)

    Stroeve, J.H.M.; Saccenti, E.; Bouwman, J.; Dane, A.; Strassburg, K.; Vervoort, J.; Hankemeier, T.; Astrup, A.; Smilde, A.K.; Ommen, B. van; Saris, W.H.M.

    2016-01-01

    Objective: Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. Methods: In DiOGenes, a randomized, controlled trial, weight loss was induced using a low calorie diet (800 kc

  17. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

    NARCIS (Netherlands)

    Stroeve, J.H.M.; Saccenti, E.; Bouwman, J.; Dane, A.; Strassburg, K.; Vervoort, J.; Hankemeier, T.; Astrup, A.; Smilde, A.K.; van Ommen, B.; Saris, W.H.M.

    2016-01-01

    OBJECTIVE: Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. METHODS: In DiOGenes, a randomized, controlled trial, weight loss was induced using a low-calorie diet (800 kc

  18. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

    NARCIS (Netherlands)

    Stroeve, Johanna H.M.; Saccenti, Edoardo; Bouwman, Jildau; Dane, Adrie; Strassburg, Katrin; Vervoort, Jacques; Hankemeier, Thomas; Astrup, Arne; Smilde, Age K.; Ommen, Van Ben; Saris, Wim H.M.

    2016-01-01

    Objective Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. Methods In DiOGenes, a randomized, controlled trial, weight loss was induced using a low-calorie diet (800 k

  19. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

    NARCIS (Netherlands)

    Stroeve, J.H.M.; Saccenti, E.; Bouwman, J.; Dane, A.; Strassburg, K.; Vervoort, J.; Hankemeier, T.; Astrup, A.; Smilde, A.K.; van Ommen, B.; Saris, W.H.M.

    2016-01-01

    OBJECTIVE: Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. METHODS: In DiOGenes, a randomized, controlled trial, weight loss was induced using a low-calorie diet (800

  20. Prediction of critical weight loss during radiation treatment in head and neck cancer patients is dependent on BMI

    DEFF Research Database (Denmark)

    Lønbro, Simon; Petersen, Gry Bjerg; Andersen, Jens Rikardt

    2016-01-01

    radiotherapy was investigated in 476 consecutive HNSCC patients. Independent predictors were identified using multivariate regression analysis with weight loss below or above 5 % as the primary dependent variable. RESULTS: Baseline BMI, tumor site, and stage predicted weight loss above 5 %. The odds of weight...

  1. Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian network approach.

    Science.gov (United States)

    Kong, Ling Chun; Wuillemin, Pierre-Henri; Bastard, Jean-Philippe; Sokolovska, Nataliya; Gougis, Sophie; Fellahi, Soraya; Darakhshan, Froogh; Bonnefont-Rousselot, Dominique; Bittar, Randa; Doré, Joël; Zucker, Jean-Daniel; Clément, Karine; Rizkalla, Salwa

    2013-12-01

    The ability to identify obese subjects who will lose weight in response to energy restriction is an important strategy in obesity treatment. We aimed to identify obese subjects who would lose weight and maintain weight loss through 6 wk of energy restriction and 6 wk of weight maintenance. Fifty obese or overweight subjects underwent a 6-wk energy-restricted, high-protein diet followed by another 6 wk of weight maintenance. Network modeling by using combined biological, gut microbiota, and environmental factors was performed to identify predictors of weight trajectories. On the basis of body weight trajectories, 3 subject clusters were identified. Clusters A and B lost more weight during energy restriction. During the stabilization phase, cluster A continued to lose weight, whereas cluster B remained stable. Cluster C lost less and rapidly regained weight during the stabilization period. At baseline, cluster C had the highest plasma insulin, interleukin (IL)-6, adipose tissue inflammation (HAM56+ cells), and Lactobacillus/Leuconostoc/Pediococcus numbers in fecal samples. Weight regain after energy restriction correlated positively with insulin resistance (homeostasis model assessment of insulin resistance: r = 0.5, P = 0.0002) and inflammatory markers (IL-6; r = 0.43, P = 0.002) at baseline. The Bayesian network identified plasma insulin, IL-6, leukocyte number, and adipose tissue (HAM56) at baseline as predictors that were sufficient to characterize the 3 clusters. The prediction accuracy reached 75.5%. The resistance to weight loss and proneness to weight regain could be predicted by the combination of high plasma insulin and inflammatory markers before dietary intervention.

  2. Predicting metabolic adaptation, body weight change, and energy intake in humans.

    Science.gov (United States)

    Hall, Kevin D

    2010-03-01

    Complex interactions between carbohydrate, fat, and protein metabolism underlie the body's remarkable ability to adapt to a variety of diets. But any imbalances between the intake and utilization rates of these macronutrients will result in changes in body weight and composition. Here, I present the first computational model that simulates how diet perturbations result in adaptations of fuel selection and energy expenditure that predict body weight and composition changes in both obese and nonobese men and women. No model parameters were adjusted to fit these data other than the initial conditions for each subject group (e.g., initial body weight and body fat mass). The model provides the first realistic simulations of how diet perturbations result in adaptations of whole body energy expenditure, fuel selection, and various metabolic fluxes that ultimately give rise to body weight change. The validated model was used to estimate free-living energy intake during a long-term weight loss intervention, a variable that has never previously been measured accurately.

  3. TNF-alpha promoter methylation as a predictive biomarker for weight-loss response.

    Science.gov (United States)

    Campión, Javier; Milagro, Fermin I; Goyenechea, Estibaliz; Martínez, J Alfredo

    2009-06-01

    Tumor necrosis factor-alpha (TNF-alpha) is a proinflammatory cytokine which is commonly elevated in obese subjects and whose promoter is susceptible to be regulated by cytosine methylation. The aim of this research was to analyze whether epigenetic regulation of human TNF-alpha promoter by cytosine methylation could be involved in the predisposition to lose body weight after following a balanced hypocaloric diet. Twenty-four patients (12 women/12 men) with excessive body weight-for-height (BMI: 30.5+/-0.32 kg/m2; age: 34+/-4 years old) followed an 8-week energy-restricted diet. Blood mononuclear cell DNA, isolated before the nutritional intervention, was treated with bisulfite and a region of TNF-alpha gene promoter (from -360 to +50 bp) was sequenced. Obese men with successful weight loss (>or=5% of initial body weight) showed lower levels of total TNF-alpha promoter methylation (r=0.74; P=0.021), especially in the positions -170 bp (r=0.75, P=0.005) and -120 bp (r=0.70, P=0.011). Baseline TNF-alpha circulating levels were positively associated with total promoter methylation (r=0.84, P=0.005) and methylation at position -245 bp (r=0.75, P=0.020). TNF-alpha promoter methylation could be a good inflammation marker predicting the hypocaloric diet-induced weight-loss, and constitutes a first step toward personalized nutrition based on epigenetic criteria.

  4. Prediction of optimal vaccination timing for infectious bursal disease based on chick weight.

    Science.gov (United States)

    Vaziry, Asaad; Venne, Daniel; Frenette, Diane; Gingras, Sylvain; Silim, Amer

    2007-12-01

    Growth rate in broiler birds has increased substantially in the last decade due to improvement in genetics, feed formulation, cleaner environment, and vaccine formulations. As a result, it has become necessary to review and revise prediction method for vaccination in chicks. This study was undertaken to determine the possible use of the rate of weight gain rather than age in predicting vaccination time. Two groups of 1-day-old broilers originating from old and young breeders, respectively, and with different levels of maternal antibodies against infectious bursal disease virus (IBDV) were used in this study. The chicks were divided into four groups and subjected to two feed regiments: groups A1 and B1 were fed broiler feed for normal growth rate, and groups A2 and B2 were fed breeder feed for slower growth rate. At 1, 4, 8, 12, 16, 22, 29, and 36 days of age, 22 chicks in each group were weighed, and blood samples were collected. Serum samples were tested for antibodies against IBDV by enzyme-linked immunosorbent assay (ELISA) and virus neutralization test. Maternal antibody decline curves for each group were plotted according to chick age and chick weight. Fast-growing birds in groups A1 and B1 showed a faster rate of antibody decline, whereas slow-growing birds in groups A2 and B2 had a slower rate of antibody decline. Based on the effect of weight gain on maternal antibody decline, a new way of predicting vaccination time for IBDV based on measuring maternal antibody titers at 4 days of age was proposed and tested. The predicted antibody decline was shown to correspond to the real ELISA titers measured in our experiments (R = 0.9889), whereas a lower correlation (R = 0.8355) was detected between real ELISA titers and the titers predicted by the current method using age-based Deventer formula.

  5. A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass

    Directory of Open Access Journals (Sweden)

    John P. Sczepaniak

    2012-01-01

    Full Text Available Factors postulated to predict weight loss after gastric bypass surgery, include race, age, gender, technique, height, and initial weight. This paper contained 1551 gastric bypass patients (85.9% female. Operations were performed by one surgeon (MLO at community hospitals in Southern California from 1989 to 2008 with 314 being laparoscopic and 1237 open. We created the following equation: In[percent weight] =2−, where was the time after operation (days and and are constants. Analysis was completed on R-software. The model fits with 2 value 0.93 and gives patients a realistic mean target weight with a confidence interval of 95% for the first year. Conclusion. We created a curve predicting weight loss after surgery as a percentage of initial weight. Initial weight was the single most important predictor of weight loss after surgery. Other recorded variables accounted for less than 1% of variability. Unknown factors account for the remaining 6-7%.

  6. Crystal methamphetamine injection predicts slower HIV RNA suppression among injection drug users.

    Science.gov (United States)

    Fairbairn, Nadia; Kerr, Thomas; Milloy, M-J; Zhang, Ruth; Montaner, Julio; Wood, Evan

    2011-07-01

    We examined the impact of crystal methamphetamine injection on HIV RNA suppression among a prospective cohort of HIV-positive injection drug users initiating antiretroviral therapy. A multivariate Cox regression analysis found crystal methamphetamine injection to be negatively associated with viral load suppression (RH=0.63 [95% CI: 0.40-0.98]; p=0.039). This study is the first to our knowledge to demonstrate an association between crystal methamphetamine use and HIV RNA suppression. Copyright © 2011 Elsevier Ltd. All rights reserved.

  7. Evaporation suppression from reservoirs using floating covers: Lab scale wind-tunnel observations and mechanistic model predictions

    Science.gov (United States)

    Or, Dani; Lehmann, Peter; Aminzadeh, Milad; Sommer, Martina; Wey, Hannah; Krentscher, Christiane; Wunderli, Hans; Breitenstein, Daniel

    2017-04-01

    The competition over dwindling fresh water resources is expected to intensify with projected increase in human population in arid regions, expansion of irrigated land and changes in climate and drought patterns. The volume of water stored in reservoirs would also increase to mitigate seasonal shortages due to rainfall variability and to meet irrigation water needs. By some estimates up to half of the stored water is lost to evaporation, thereby exacerbating the water scarcity problem. Recently, there is an upsurge in the use of self-assembling floating covers to suppress evaporation, yet the design and implementation remain largely empirical. We report a systematic experimental evaluation of different cover types and external drivers (radiation, wind, wind plus radiation) on evaporation suppression and energy balance of a 1.4 m2 basin placed in a wind-tunnel. Surprisingly, evaporation suppression by black and white floating covers (balls and plates) were similar despite significantly different energy balance regimes over the cover surfaces. Moreover, the evaporation suppression efficiency was a simple function of the uncovered area (square root of the uncovered fraction) with linear relations with the covered area in some cases. The thermally decoupled floating covers offer an efficient solution to the evaporation suppression with limited influence of the surface energy balance (water temperature for black and white covers was similar and remained nearly constant). The results will be linked with a predictive evaporation-energy balance model and issues of spatial scales and long exposure times will be studied.

  8. Increased signal intensity on fat-suppressed three-dimensional T1-weighted pulse sequences in patellar tendon: magic angle effect?

    Energy Technology Data Exchange (ETDEWEB)

    Karantanas, A.H.; Zibis, A.H. [CT-MRI Dept., Larissa General Hospital, Larissa (Greece); Papanikolaou, N. [Radiology Dept., University of Crete, Heraklion (Greece)

    2001-02-01

    Objective. To assess the frequency of increased signal intensity in the patellar tendon using three-dimensional T1-weighted MRI pulse sequences. Design and patients. Sixty patients were examined with a 1.0 T scanner (15mT/m gradient strength) using a quadrature coil. Three pulse sequences were applied in the sagittal plane: PD turbo spin echo (PD-TSE), 3D T1-weighted gradient echo with fat suppression (3D-T1-FFE-FS) and 3D T1-weighted echo planar imaging with fat suppression (3D-T1-EPI-FS). The high signal intensity areas were measured in their maximum length. The angle of the patellar tendon relative to the main field position was measured in the same slice. In eight patients with anterior knee pain, and in 11 with no anterior knee pain, a fourth T2-weighted TSE pulse sequence (T2-TSE) was obtained to rule out patellar tendinitis. Results. The correlation of the high signal intensity areas with the relative position of the tendon was found to be significant with the 3D sequences (P=0.03 for 3D-T1-FFE-FS and P=0.003 for 3D-T1-EPI-FS). The length of the high signal intensity area in the tendon was 5.4 mm with 3D-T1-FFE-FS, 4.9 mm with 3D-T1-EPI-FS and 3.1 mm with PD-TSE images. No patellar tendinitis was demonstrated on the T2-TSE images. Conclusion. The magic angle effect is commonly observed in the 3D based T1-weighted pulse sequences with fat suppression. The presence of the above sign must be recognized by radiologists, so that misdiagnosis of patellar tendinitis is avoided. (orig.)

  9. Weight loss herbal intervention therapy (W-LHIT) a non-appetite suppressing natural product controls weight and lowers cholesterol and glucose levels in a murine model

    OpenAIRE

    Yang, Nan; Chung, Danna; Liu, Changda; Liang, Banghao; Li, Xiu-Min

    2014-01-01

    Background The prevalence of obesity is increasing in industrialized countries. Obesity increases the risk of coronary artery disease, stroke, cancer, hypertension, and type-2 diabetes. Unfortunately, conventional obesity drug treatment is often associated with adverse effects. The objective of this study was to evaluate a novel natural formula, Weight loss herbal intervention therapy (W-LHIT), developed from traditional Chinese medicine, for weight control in a high-fat-diet (HFD) induced ob...

  10. Structural social support predicts functional social support in an online weight loss programme.

    Science.gov (United States)

    Hwang, Kevin O; Etchegaray, Jason M; Sciamanna, Christopher N; Bernstam, Elmer V; Thomas, Eric J

    2014-06-01

    Online weight loss programmes allow members to use social media tools to give and receive social support for weight loss. However, little is known about the relationship between the use of social media tools and the perception of specific types of support. To test the hypothesis that the frequency of using social media tools (structural support) is directly related to perceptions of Encouragement, Information and Shared Experiences support (functional support). Online survey. Members of an online weight loss programme. The outcome was the perception of Encouragement (motivation, congratulations), Information (advice, tips) and Shared Experiences (belonging to a group) social support. The predictor was a social media scale based on the frequency of using forums and blogs within the online weight loss programme (alpha = 0.91). The relationship between predictor and outcomes was evaluated with structural equation modelling (SEM) and logistic regression, adjusted for sociodemographic characteristics, BMI and duration of website membership. The 187 participants were mostly female (95%) and white (91%), with mean (SD) age 37 (12) years and mean (SD) BMI 31 (8). SEM produced a model in which social media use predicted Encouragement support, but not Information or Shared Experiences support. Participants who used the social media tools at least weekly were almost five times as likely to experience Encouragement support compared to those who used the features less frequently [adjusted OR 4.8 (95% CI 1.8-12.8)]. Using the social media tools of an online weight loss programme at least once per week is strongly associated with receiving Encouragement for weight loss behaviours. © 2011 John Wiley & Sons Ltd.

  11. Predictive factors for body weight loss and its impact on quality of life following gastrectomy.

    Science.gov (United States)

    Tanabe, Kazuaki; Takahashi, Masazumi; Urushihara, Takashi; Nakamura, Yoichi; Yamada, Makoto; Lee, Sang-Woong; Tanaka, Shinnosuke; Miki, Akira; Ikeda, Masami; Nakada, Koji

    2017-07-14

    To determine the predictive factors and impact of body weight loss on postgastrectomy quality of life (QOL). We applied the newly developed integrated questionnaire postgastrectomy syndrome assessment scale-45, which consists of 45 items including those from the Short Form-8 and Gastrointestinal Symptom Rating Scale instruments, in addition to 22 newly selected items. Between July 2009 and December 2010, completed questionnaires were received from 2520 patients with curative resection at 1 year or more after having undergone one of six types of gastrectomy for Stage I gastric cancer at one of 52 participating institutions. Of those, we analyzed 1777 eligible questionnaires from patients who underwent total gastrectomy with Roux-en-Y procedure (TGRY) or distal gastrectomy with Billroth-I (DGBI) or Roux-en-Y (DGRY) procedures. A total of 393, 475 and 909 patients underwent TGRY, DGRY, and DGBI, respectively. The mean age of patients was 62.1 ± 9.2 years. The mean time interval between surgery and retrieval of the questionnaires was 37.0 ± 26.8 mo. On multiple regression analysis, higher preoperative body mass index, total gastrectomy, and female sex, in that order, were independent predictors of greater body weight loss after gastrectomy. There was a significant difference in the degree of weight loss (P 25 kg/m(2)). Multiple linear regression analysis identified lower postoperative body mass index, rather than greater body weight loss postoperatively, as a certain factor for worse QOL (P weight after gastrectomy, the impact of body weight loss on QOL is unexpectedly small.

  12. Diffusion-weighted magnetic resonance imaging of breast lesions: the influence of different fat-suppression techniques on quantitative measurements and their reproducibility

    Energy Technology Data Exchange (ETDEWEB)

    Muertz, P.; Tsesarskiy, M.; Kowal, A.; Traeber, F.; Willinek, W.A.; Leutner, C.C.; Schmiedel, A.; Schild, H.H. [University of Bonn, Department of Radiology, Bonn (Germany); Gieseke, J. [University of Bonn, Department of Radiology, Bonn (Germany); Philips Healthcare, Best (Netherlands)

    2014-10-15

    The aim of this study was to evaluate the influence of different fat-suppression techniques on quantitative measurements and their reproducibility when applied to diffusion-weighted imaging (DWI) of breast lesions. Twenty-five patients with different types of breast lesions were examined on a clinical 1.5-T magnetic resonance imaging (MRI) system. Two diffusion-weighted sequences with different fat-suppression methods were applied: one with spectral presaturation by inversion recovery (SPIR), and one with short-TI inversion recovery (STIR). The acquisition of both sequence variants was repeated with modified shim volume. Lesion-to-background contrast (LBC), apparent diffusion coefficients (ADC) ADC(0,1000) and ADC(50,1000), and their coefficients of variation (CV) were determined. In four patients, the image quality of DWI with SPIR was insufficient. In the other 21 patients, 46 regions of interest (ROI), including 11 malignant and 35 benign lesions, were analysed. The LBC, ADC(0,1000) and ADC(50,1000) values, which did not differ between initial and repeated measurements, were significantly higher for STIR than for SPIR. The mean CV improved from 10.8 % to 4.0 % (P = 0.0047) for LBC, from 6.3 % to 2.9 % (P = 0.0041) for ADC(0,1000), and from 6.3 % to 2.6 % (P = 0.0049) for ADC(50,1000). For STIR compared to SPIR fat suppression, improved lesion conspicuity, higher ADC values, and better measurement reproducibility were found in breast DWI. circle Quality of fat suppression influences quantitative DWI breast lesion measurements. circle In breast DWI, STIR fat suppression worked more reliably than SPIR. (orig.)

  13. Evaluation of dual-source parallel RF excitation for diffusion-weighted whole-body MR imaging with background body signal suppression at 3.0 T

    Energy Technology Data Exchange (ETDEWEB)

    Muertz, Petra, E-mail: petra.muertz@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany); Kaschner, Marius, E-mail: marius.kaschner@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany); Traeber, Frank, E-mail: frank.traeber@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany); Kukuk, Guido M., E-mail: guido.kukuk@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany); Buedenbender, Sarah M., E-mail: sarah_m_buedenbender@yahoo.de [Department of Radiology, University of Bonn (Germany); Skowasch, Dirk, E-mail: dirk.skowasch@ukb.uni-bonn.de [Department of Medicine, University of Bonn (Germany); Gieseke, Juergen, E-mail: juergen.gieseke@philips.com [Philips Healthcare, Best (Netherlands); Department of Radiology, University of Bonn (Germany); Schild, Hans H., E-mail: hans.schild@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany); Willinek, Winfried A., E-mail: winfried.willinek@ukb.uni-bonn.de [Department of Radiology, University of Bonn (Germany)

    2012-11-15

    Purpose: To evaluate the use of dual-source parallel RF excitation (TX) for diffusion-weighted whole-body MRI with background body signal suppression (DWIBS) at 3.0 T. Materials and methods: Forty consecutive patients were examined on a clinical 3.0-T MRI system using a diffusion-weighted (DW) spin-echo echo-planar imaging sequence with a combination of short TI inversion recovery and slice-selective gradient reversal fat suppression. DWIBS of the neck (n = 5), thorax (n = 8), abdomen (n = 6) and pelvis (n = 21) was performed both with TX (2:56 min) and with standard single-source RF excitation (4:37 min). The quality of DW images and reconstructed inverted maximum intensity projections was visually judged by two readers (blinded to acquisition technique). Signal homogeneity and fat suppression were scored as 'improved', 'equal', 'worse' or 'ambiguous'. Moreover, the apparent diffusion coefficient (ADC) values were measured in muscles, urinary bladder, lymph nodes and lesions. Results: By the use of TX, signal homogeneity was 'improved' in 25/40 and 'equal' in 15/40 cases. Fat suppression was 'improved' in 17/40 and 'equal' in 23/40 cases. These improvements were statistically significant (p < 0.001, Wilcoxon signed-rank test). In five patients, fluid-related dielectric shading was present, which improved remarkably. The ADC values did not significantly differ for the two RF excitation methods (p = 0.630 over all data, pairwise Student's t-test). Conclusion: Dual-source parallel RF excitation improved image quality of DWIBS at 3.0 T with respect to signal homogeneity and fat suppression, reduced scan time by approximately one-third, and did not influence the measured ADC values.

  14. EURO-USD PREDICTION APPLICATION USING WEIGHTED MOVING AVERAGE ON MOBILE DEVICE

    Directory of Open Access Journals (Sweden)

    Afan Galih Salman

    2014-01-01

    Full Text Available Investments in foreign exchange (forex promise lucrative profits, thus inviting a lot of attention for researcher sand traders to create a system or indicator in trading. All indicators or system is reliable and has proven hat can bring profit for traders. Basically all indicator are reliable and tested which able to bring some profit to traders. Ironically there are many trader fail to gain the profit and became bankrupt. It because they has no well money management and good mentality in trading. Therefore in this study is focused on technical analysis by using weighted moving average which will be implemented on the mobile device so that it can give predictions on the price of the EURO-USD currency pair. The results is the weighted moving average was not quite accurate in determining the price of a currency especially during sideways price but it so accurate when they have strong price trend or large-scale. weighted moving average becomes really easy to apply when using 2 or more weighted moving average and able to give facility in analyzing movement of currency with the counterpart of EURO-USD by means of mobile medium.

  15. Weight loss predictability by plasma metabolic signatures in adults with obesity and morbid obesity of the DiOGenes study

    DEFF Research Database (Denmark)

    Stroeve, Johanna H M; Saccenti, Edoardo; Bouwman, Jildau

    2016-01-01

    kcal) for 8 weeks. Men (N = 236) and women (N = 431) as well as groups with overweight/obesity and morbid obesity were studied separately. The relation between the metabolic status before weight loss and weight loss was assessed by stepwise regression on multiple data sets, including anthropometric...... parameters, NMR-based plasma metabolites, and LC-MS-based plasma lipid species. RESULTS: Maximally, 57% of the variation in weight loss success can be predicted by baseline parameters. The most powerful predictive models were obtained in subjects with morbid obesity. In these models, the metabolites most......OBJECTIVE: Aim is to predict successful weight loss by metabolic signatures at baseline and to identify which differences in metabolic status may underlie variations in weight loss success. METHODS: In DiOGenes, a randomized, controlled trial, weight loss was induced using a low-calorie diet (800...

  16. Probability weighted ensemble transfer learning for predicting interactions between HIV-1 and human proteins.

    Directory of Open Access Journals (Sweden)

    Suyu Mei

    Full Text Available Reconstruction of host-pathogen protein interaction networks is of great significance to reveal the underlying microbic pathogenesis. However, the current experimentally-derived networks are generally small and should be augmented by computational methods for less-biased biological inference. From the point of view of computational modelling, data scarcity, data unavailability and negative data sampling are the three major problems for host-pathogen protein interaction networks reconstruction. In this work, we are motivated to address the three concerns and propose a probability weighted ensemble transfer learning model for HIV-human protein interaction prediction (PWEN-TLM, where support vector machine (SVM is adopted as the individual classifier of the ensemble model. In the model, data scarcity and data unavailability are tackled by homolog knowledge transfer. The importance of homolog knowledge is measured by the ROC-AUC metric of the individual classifiers, whose outputs are probability weighted to yield the final decision. In addition, we further validate the assumption that only the homolog knowledge is sufficient to train a satisfactory model for host-pathogen protein interaction prediction. Thus the model is more robust against data unavailability with less demanding data constraint. As regards with negative data construction, experiments show that exclusiveness of subcellular co-localized proteins is unbiased and more reliable than random sampling. Last, we conduct analysis of overlapped predictions between our model and the existing models, and apply the model to novel host-pathogen PPIs recognition for further biological research.

  17. Prediction of low birth weight using modified Indian council of medical research antenatal scoring method.

    Science.gov (United States)

    Metgud, Chandra; Naik, Vijaya; Mallapur, Maheshwar

    2013-12-01

    To study the prediction of low birth weight (LBW) using modified Indian Council of Medical Research (ICMR) antenatal scoring method. The present longitudinal study was carried out amongst 1138 pregnant women residing in area covered by Kinaye primary health centre (PHC) in rural Karnataka, India. Modified ICMR risk scoring revealed that 597 (52.5%) women had a risk score 6-10 (mild risk), 142 (12.5%) women had risk score 11-15 (moderate risk) and 29 (2.5%) had risk score ≥16 (severe risk), whereas, remaining 370 (32.5%) had a score of 0-5 considered as "no risk group". The incidence of LBW had direct relationship with the risk score. The sensitivity was high (80.6%), whereas, specificity was slightly low (70.4%), positive predictive value was low (43.8%) and negative predictive value high (92.7%) for LBW when the risk score cut-off point was >7. The modified ICMR antenatal scoring method can be used at all levels of health care and is an ideal instrument for prediction of LBW at the community level. It can be easily applied by even a health worker, not time consuming and at the same time does not lose its predictability.

  18. Inability to suppress salient distractors predicts low visual working memory capacity.

    Science.gov (United States)

    Gaspar, John M; Christie, Gregory J; Prime, David J; Jolicœur, Pierre; McDonald, John J

    2016-03-29

    According to contemporary accounts of visual working memory (vWM), the ability to efficiently filter relevant from irrelevant information contributes to an individual's overall vWM capacity. Although there is mounting evidence for this hypothesis, very little is known about the precise filtering mechanism responsible for controlling access to vWM and for differentiating low- and high-capacity individuals. Theoretically, the inefficient filtering observed in low-capacity individuals might be specifically linked to problems enhancing relevant items, suppressing irrelevant items, or both. To find out, we recorded neurophysiological activity associated with attentional selection and active suppression during a competitive visual search task. We show that high-capacity individuals actively suppress salient distractors, whereas low-capacity individuals are unable to suppress salient distractors in time to prevent those items from capturing attention. These results demonstrate that individual differences in vWM capacity are associated with the timing of a specific attentional control operation that suppresses processing of salient but irrelevant visual objects and restricts their access to higher stages of visual processing.

  19. The DPP-IV inhibitor linagliptin and GLP-1 induce synergistic effects on body weight loss and appetite suppression in the diet-induced obese rat.

    Science.gov (United States)

    Hansen, Henrik H; Hansen, Gitte; Paulsen, Sarah; Vrang, Niels; Mark, Michael; Jelsing, Jacob; Klein, Thomas

    2014-10-15

    Linagliptin is a dipeptidyl peptidase (DPP)-IV inhibitor approved for the treatment of type 2 diabetes. DPP-IV inhibitors are considered weight neutral, suggesting that elevation of endogenous incretin levels is not sufficient to promote weight loss per se. Here we evaluated the effect of linagliptin in combination with subcutaneous treatment of GLP-1(7-36) on body weight regulation in diet-induced obese (DIO) rats. Linagliptin administered perorally (1.5mg/kg, b.i.d.), but not subcutaneously (0.5mg/kg, b.i.d.), evoked a very modest body weight loss (2.2%) after 28 days of treatment. GLP-1 (0.5mg/kg, s.c.) treatment alone induced a body weight loss of 4.1%. In contrast, combined linagliptin (1.5mg/kg, p.o., or 0.5mg/kg, s.c.) and GLP-1 (0.5mg/kg) treatment evoked a marked anorectic response with both routes of linagliptin administration being equally effective on final body weight loss (7.5-8.0%). In comparison, liraglutide monotherapy (0.2mg/kg, s.c., b.i.d.) reduced body weight by 10.1%. Interestingly, the weight lowering effect of combined linagliptin and GLP-1 treatment was associated with a marked increase in chow preference, being more pronounced as compared to liraglutide treatment. In addition, linagliptin and GLP-1 co-treatment, but not liraglutide, specifically increased prepro-dynorphin mRNA levels in the caudate-putamen, an effect not obtained with administration of the compounds individually. In conclusion, co-treatment with linagliptin and GLP-1 synergistically reduces body weight in obese rats. The anti-obesity effect was caused by appetite suppression with a concomitant change in diet preference, which may potentially be associated with increased dynorphin activity in forebrain regions involved in reward anticipation and habit learning.

  20. Weight-related teasing and internalized weight stigma predict abnormal eating attitudes and behaviours in Emirati female university students.

    Science.gov (United States)

    O'Hara, Lily; Tahboub-Schulte, Sabrina; Thomas, Justin

    2016-07-01

    This cross-sectional study examined the relationship between abnormal eating attitudes, weight teasing, internalized weight stigma and self-esteem in the United Arab Emirates in a sample of 420 female Emirati undergraduate students (mean age = 23.12 years). Participants completed an online survey including validated and reliable measures. Regression and mediation analyses were used to test for relationships between the factors. Thirty percent of respondents had eating disorder symptomatology, and 44% of respondents reported being frequently teased about their weight. Eating disorder symptomatology was positively correlated with being bothered by teasing from family, friends and others, and internalized weight stigma. Weight- and body-related shame and guilt was the strongest predictor of eating disorder symptomatology. Public health authorities should consider these issues as priorities for action in order to improve the health and wellbeing of young women in the UAE. In addition, it is vital that public health and medical services do not inadvertently condone weight-based teasing or enhance weight stigma and shame.

  1. Diffusion-weighted imaging of normal fibroglandular breast tissue: influence of microperfusion and fat suppression technique on the apparent diffusion coefficient.

    Science.gov (United States)

    Baron, Paul; Dorrius, Monique D; Kappert, Peter; Oudkerk, Matthijs; Sijens, Paul E

    2010-05-01

    The influence of microperfusion and fat suppression technique on the apparent diffusion coefficient (ADC) values obtained with diffusion weighted imaging (DWI) of normal fibroglandular breast tissue was investigated. Seven volunteers (14 breasts) were scanned using diffusion weighting factors (b values) up to 1600 s/mm(2) and the four different fat suppression techniques: STIR, fat saturation, SPAIR, and Water Excitation. The relationship between the logarithmic DW attenuation curves and b was linear for b values up to 600 s/mm(2) (R(2) > 0.999). Small differences were noted between the ADC values obtained with the various fat suppression methods, especially at the higher b values. Water Excitation had the highest mean SNR, exceeding STIR (p = 0.03) though not significantly different from fat saturation and SPAIR. In conclusion, the ADC of fibroglandular breast tissue is not influenced by microperfusion and Water Excitation is recommended because it yielded the best SNR values. These factors may be crucial in the differentiation between benign and malignant lesions.

  2. Maternal Weight Predicts Children's Psychosocial Development via Parenting Stress and Emotional Availability

    Science.gov (United States)

    Bergmann, Sarah; Schlesier-Michel, Andrea; Wendt, Verena; Grube, Matthias; Keitel-Korndörfer, Anja; Gausche, Ruth; von Klitzing, Kai; Klein, Annette M.

    2016-01-01

    Introduction: Maternal obesity has been shown to be a risk factor for obesity in children and may also affect children's psychosocial outcomes. It is not yet clear whether there are also psycho-emotional mechanisms explaining the effects of maternal weight on young children's weight and psychosocial development. We aimed to evaluate whether maternal body mass index (BMI), mother–child emotional availability (EA), and maternal parenting stress are associated with children's weight and psychosocial development (i.e., internalizing/externalizing symptoms and social competence) and whether these predictors interact with each other. Methods: This longitudinal study included three assessment points (~11 months apart). The baseline sample consisted of N = 194 mothers and their children aged 5–47 months (M = 28.18, SD = 8.44, 99 girls). At t1, we measured maternal weight and height to calculate maternal BMI. We videotaped mother–child interactions, coding them with the EA Scales (fourth edition). We assessed maternal parenting stress with the Parenting Stress Index (PSI) short form. At t1 to t3, we measured height and weight of children and calculated BMI–SDS scores. Children's externalizing and internalizing problems (t1–t3) and social competence (t3, N = 118) were assessed using questionnaires: Child Behavior Checklist (CBCL 1.5–5), Strengths and Difficulties Questionnaire (SDQ: prosocial behavior), and a checklist for behavioral problems at preschool age (VBV 3–6: social-emotional competence). Results: By applying structural equation modeling (SEM) and a latent regression analysis, we found maternal BMI to predict higher BMI–SDS and a poorer psychosocial development (higher externalizing symptoms, lower social competence) in children. Higher parenting stress predicted higher levels of externalizing and internalizing symptoms and lower social competence. Better maternal EA was associated with higher social competence. We found parenting stress to serve as

  3. Maternal weight predicts children’s psychosocial development via parenting stress and emotional availability

    Directory of Open Access Journals (Sweden)

    Sarah Bergmann

    2016-08-01

    Full Text Available Introduction: Maternal obesity has been shown to be a risk factor for obesity in children and may also affect children’s psychosocial outcomes. It is not yet clear whether there are also psycho-emotional mechanisms explaining the effects of maternal weight on young children’s weight and psychosocial development. We aimed to evaluate whether maternal body mass index (BMI, mother-child emotional availability (EA and maternal parenting stress are associated with children’s weight and psychosocial development (i.e. internalizing/externalizing symptoms and social competence and whether these predictors interact with each other. Methods: This longitudinal study included 3 assessment points (approx. 11 months apart. The baseline sample consisted of N=194 mothers and their children aged 5 to 47 months (M=28.18, SD=8.44, 99 girls. At t1, we measured maternal weight and height to calculate maternal BMI. We videotaped mother-child interactions, coding them with the Emotional Availability Scales (4th edition. We assessed maternal parenting stress with the Parenting Stress Index (PSI short form. At t1 to t3, we measured height and weight of children and calculated BMI-SDS scores. Children’s externalizing and internalizing problems (t1-t3 and social competence (t3, N=118 were assessed using questionnaires: Child Behavior Checklist (CBCL1, 5-5, Strength and Difficulties Questionnaire (SDQ: prosocial behavior and a checklist for behavioral problems at preschool age (VBV 3-6: social-emotional competence. Results: By applying structural equation modeling (SEM and a latent regression analysis, we found maternal BMI to predict higher BMI-SDS and a poorer psychosocial development (higher externalizing symptoms, lower social competence in children. Higher parenting stress predicted higher levels of externalizing and internalizing symptoms and lower social competence. Better maternal EA was associated with higher social competence. We found parenting stress to

  4. On the dynamic estimation of relative weights for observation and forecast in numerical weather prediction

    Science.gov (United States)

    Wahba, Grace; Deepak, A. (Editor)

    1988-01-01

    The problem of merging direct and remotely sensed (indirect) data with forecast data to get an estimate of the present state of the atmosphere for the purpose of numerical weather prediction is examined. To carry out this merging optimally, it is necessary to provide an estimate of the relative weights to be given to the observations and forecast. It is possible to do this dynamically from the information to be merged, if the correlation structure of the errors from the various sources is sufficiently different. Some new statistical approaches to doing this are described, and conditions quantified in which such estimates are likely to be good.

  5. Effects of error covariance structure on estimation of model averaging weights and predictive performance

    Science.gov (United States)

    Lu, Dan; Ye, Ming; Meyer, Philip D.; Curtis, Gary P.; Shi, Xiaoqing; Niu, Xu-Feng; Yabusaki, Steve B.

    2013-01-01

    When conducting model averaging for assessing groundwater conceptual model uncertainty, the averaging weights are often evaluated using model selection criteria such as AIC, AICc, BIC, and KIC (Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, and Kashyap Information Criterion, respectively). However, this method often leads to an unrealistic situation in which the best model receives overwhelmingly large averaging weight (close to 100%), which cannot be justified by available data and knowledge. It was found in this study that this problem was caused by using the covariance matrix, CE, of measurement errors for estimating the negative log likelihood function common to all the model selection criteria. This problem can be resolved by using the covariance matrix, Cek, of total errors (including model errors and measurement errors) to account for the correlation between the total errors. An iterative two-stage method was developed in the context of maximum likelihood inverse modeling to iteratively infer the unknown Cek from the residuals during model calibration. The inferred Cek was then used in the evaluation of model selection criteria and model averaging weights. While this method was limited to serial data using time series techniques in this study, it can be extended to spatial data using geostatistical techniques. The method was first evaluated in a synthetic study and then applied to an experimental study, in which alternative surface complexation models were developed to simulate column experiments of uranium reactive transport. It was found that the total errors of the alternative models were temporally correlated due to the model errors. The iterative two-stage method using Cekresolved the problem that the best model receives 100% model averaging weight, and the resulting model averaging weights were supported by the calibration results and physical understanding of the alternative models. Using Cek

  6. Effects of error covariance structure on estimation of model averaging weights and predictive performance

    Energy Technology Data Exchange (ETDEWEB)

    Lu, Dan; Ye, Ming; Meyer, Philip D.; Curtis, Gary P.; Shi, Xiaoqing; Niu, Xu-Feng; Yabusaki, Steven B.

    2013-07-23

    When conducting model averaging for assessing groundwater conceptual model uncertainty, the averaging weights are often evaluated using model selection criteria such as AIC, AICc, BIC, and KIC (Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, and Kashyap Information Criterion, respectively). However, this method often leads to an unrealistic situation in which the best model receives overwhelmingly large averaging weight (close to 100%), which cannot be justified by available data and knowledge. It was found in this study that this problem was caused by using the covariance matrix, CE, of measurement errors for estimating the negative log likelihood function common to all the model selection criteria. This problem can be resolved by using the covariance matrix, Cek, of total errors (including model errors and measurement errors) to account for the correlation between the total errors. An iterative two-stage method was developed in the context of maximum likelihood inverse modeling to iteratively infer the unknown Cek from the residuals during model calibration. The inferred Cek was then used in the evaluation of model selection criteria and model averaging weights. While this method was limited to serial data using time series techniques in this study, it can be extended to spatial data using geostatistical techniques. The method was first evaluated in a synthetic study and then applied to an experimental study, in which alternative surface complexation models were developed to simulate column experiments of uranium reactive transport. It was found that the total errors of the alternative models were temporally correlated due to the model errors. The iterative two-stage method using Cek resolved the problem that the best model receives 100% model averaging weight, and the resulting model averaging weights were supported by the calibration results and physical understanding of the alternative models. Using Cek

  7. Effects of error covariance structure on estimation of model averaging weights and predictive performance

    Science.gov (United States)

    Lu, Dan; Ye, Ming; Meyer, Philip D.; Curtis, Gary P.; Shi, Xiaoqing; Niu, Xu-Feng; Yabusaki, Steve B.

    2013-09-01

    When conducting model averaging for assessing groundwater conceptual model uncertainty, the averaging weights are often evaluated using model selection criteria such as AIC, AICc, BIC, and KIC (Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, and Kashyap Information Criterion, respectively). However, this method often leads to an unrealistic situation in which the best model receives overwhelmingly large averaging weight (close to 100%), which cannot be justified by available data and knowledge. It was found in this study that this problem was caused by using the covariance matrix, Cɛ, of measurement errors for estimating the negative log likelihood function common to all the model selection criteria. This problem can be resolved by using the covariance matrix, Cek, of total errors (including model errors and measurement errors) to account for the correlation between the total errors. An iterative two-stage method was developed in the context of maximum likelihood inverse modeling to iteratively infer the unknown Cek from the residuals during model calibration. The inferred Cek was then used in the evaluation of model selection criteria and model averaging weights. While this method was limited to serial data using time series techniques in this study, it can be extended to spatial data using geostatistical techniques. The method was first evaluated in a synthetic study and then applied to an experimental study, in which alternative surface complexation models were developed to simulate column experiments of uranium reactive transport. It was found that the total errors of the alternative models were temporally correlated due to the model errors. The iterative two-stage method using Cek resolved the problem that the best model receives 100% model averaging weight, and the resulting model averaging weights were supported by the calibration results and physical understanding of the alternative models. Using Cek

  8. SU-F-BRD-01: A Logistic Regression Model to Predict Objective Function Weights in Prostate Cancer IMRT

    Energy Technology Data Exchange (ETDEWEB)

    Boutilier, J; Chan, T; Lee, T [University of Toronto, Toronto, Ontario (Canada); Craig, T; Sharpe, M [University of Toronto, Toronto, Ontario (Canada); The Princess Margaret Cancer Centre - UHN, Toronto, ON (Canada)

    2014-06-15

    Purpose: To develop a statistical model that predicts optimization objective function weights from patient geometry for intensity-modulation radiotherapy (IMRT) of prostate cancer. Methods: A previously developed inverse optimization method (IOM) is applied retrospectively to determine optimal weights for 51 treated patients. We use an overlap volume ratio (OVR) of bladder and rectum for different PTV expansions in order to quantify patient geometry in explanatory variables. Using the optimal weights as ground truth, we develop and train a logistic regression (LR) model to predict the rectum weight and thus the bladder weight. Post hoc, we fix the weights of the left femoral head, right femoral head, and an artificial structure that encourages conformity to the population average while normalizing the bladder and rectum weights accordingly. The population average of objective function weights is used for comparison. Results: The OVR at 0.7cm was found to be the most predictive of the rectum weights. The LR model performance is statistically significant when compared to the population average over a range of clinical metrics including bladder/rectum V53Gy, bladder/rectum V70Gy, and mean voxel dose to the bladder, rectum, CTV, and PTV. On average, the LR model predicted bladder and rectum weights that are both 63% closer to the optimal weights compared to the population average. The treatment plans resulting from the LR weights have, on average, a rectum V70Gy that is 35% closer to the clinical plan and a bladder V70Gy that is 43% closer. Similar results are seen for bladder V54Gy and rectum V54Gy. Conclusion: Statistical modelling from patient anatomy can be used to determine objective function weights in IMRT for prostate cancer. Our method allows the treatment planners to begin the personalization process from an informed starting point, which may lead to more consistent clinical plans and reduce overall planning time.

  9. Use of factor scores for predicting body weight from linear body measurements in three South African indigenous chicken breeds.

    Science.gov (United States)

    Malomane, Dorcus Kholofelo; Norris, David; Banga, Cuthbert B; Ngambi, Jones W

    2014-02-01

    Body weight and weight of body parts are of economic importance. It is difficult to directly predict body weight from highly correlated morphological traits through multiple regression. Factor analysis was carried out to examine the relationship between body weight and five linear body measurements (body length, body girth, wing length, shank thickness, and shank length) in South African Venda (VN), Naked neck (NN), and Potchefstroom koekoek (PK) indigenous chicken breeds, with a view to identify those factors that define body conformation. Multiple regression was subsequently performed to predict body weight, using orthogonal traits derived from the factor analysis. Measurements were obtained from 210 chickens, 22 weeks of age, 70 chickens per breed. High correlations were obtained between body weight and all body measurements except for wing length in PK. Two factors extracted after varimax rotation explained 91, 95, and 83% of total variation in VN, NN, and PK, respectively. Factor 1 explained 73, 90, and 64% in VN, NN, and PK, respectively, and was loaded on all body measurements except for wing length in VN and PK. In a multiple regression, these two factors accounted for 72% variation in body weight in VN, while only factor 1 accounted for 83 and 74% variation in body weight in NN and PK, respectively. The two factors could be used to define body size and conformation of these breeds. Factor 1 could predict body weight in all three breeds. Body measurements can be better selected jointly to improve body weight in these breeds.

  10. Amniotic fluid index and estimated fetal weight for prediction of fetal macrosomia: a prospective observational study.

    Science.gov (United States)

    El Khouly, Nabih I; Elkelani, Osama A; Saleh, Said A

    2017-08-01

    The purpose of this study was to assess the value of combining the estimated fetal weight (EFW) and amniotic fluid index (AFI) measured in term patients early in labor with intact membranes for prediction of macrosomia. In a single center, prospective observational study, 600 patients in the first stage of labor before rupture of membranes in whom ultrasonography was performed to measure AFI and EFW, and these data were analyzed statistically to evaluate prediction of fetal macrosomia. Macrosomia occurred in 64 cases (10.6%). The AFI was significantly higher in the macrosomic group (p = 0.001). It was noted that the area under receiver operating characteristic (ROC) curves for EFW was 0.93 and that of AFI was 0.67. Based on suggested combined EFW and AFI cutoffs of 4000 g and 164 mm, respectively, the positive predictive value (PPV) for combined parameters (92.3%) was higher than that of EFW (75%) and that of AFI (27%) and the likelihood ratio for combination (93.7%) was higher than that of EFW (24.7%) and that of AFI (21%). Combined use of EFW and AFI improves prediction of macrosomia at birth rather than the EFW alone.

  11. Repetition Suppression in the Left Inferior Frontal Gyrus Predicts Tone Learning Performance.

    Science.gov (United States)

    Asaridou, Salomi S; Takashima, Atsuko; Dediu, Dan; Hagoort, Peter; McQueen, James M

    2016-06-01

    Do individuals differ in how efficiently they process non-native sounds? To what extent do these differences relate to individual variability in sound-learning aptitude? We addressed these questions by assessing the sound-learning abilities of Dutch native speakers as they were trained on non-native tone contrasts. We used fMRI repetition suppression to the non-native tones to measure participants' neuronal processing efficiency before and after training. Although all participants improved in tone identification with training, there was large individual variability in learning performance. A repetition suppression effect to tone was found in the bilateral inferior frontal gyri (IFGs) before training. No whole-brain effect was found after training; a region-of-interest analysis, however, showed that, after training, repetition suppression to tone in the left IFG correlated positively with learning. That is, individuals who were better in learning the non-native tones showed larger repetition suppression in this area. Crucially, this was true even before training. These findings add to existing evidence that the left IFG plays an important role in sound learning and indicate that individual differences in learning aptitude stem from differences in the neuronal efficiency with which non-native sounds are processed.

  12. The Simplified Predictive Intubation Difficulty Score: a new weighted score for difficult airway assessment.

    Science.gov (United States)

    L'Hermite, Joël; Nouvellon, Emmanuel; Cuvillon, Philippe; Fabbro-Peray, Pascale; Langeron, Olivier; Ripart, Jacques

    2009-12-01

    Using the Intubation Difficulty Scale (IDS) more than 5 as a standardized definition of difficult intubation, we propose a new score to predict difficult intubation: the Simplified Predictive Intubation Difficulty Score (SPIDS). We prospectively studied 1024 patients scheduled for elective surgery under general anaesthesia. Using bivariate and multivariable analysis, we established risk factors of difficult intubation. Then, we assigned point values to each of the adjusted risk factors, their sum composing the SPIDS. We assessed its predictive accuracy using sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and the area under the receiver operating characteristic (ROC) curve (AUC), and compared it with the corresponding nonweighted score. The optimal predictive level of the SPIDS was determined using ROC curve analysis. We found five adjusted risk factors for IDS more than 5: pathological conditions associated with difficult intubation (malformation of the face, acromegaly, cervical rheumatism, tumours of the airway, and diabetes mellitus), mouth opening less than 3.5 cm, a ratio of patient's height to thyromental distance 25 at least, head and neck movement less than 80 degrees , and Mallampati 2 at least. Sensitivity, specificity, PPV and NPV of the SPIDS were 65, 76, 14 and 97%, respectively. AUC of the SPIDS and the nonweighted score (obtained previously using a stepwise logistic regression) were respectively 0.78 [95% confidence interval (CI) 0.72-0.84] and 0.69 (95% CI 0.64-0.73). The threshold for an optimal predictive level of the SPIDS was above 10 of 55. The SPIDS seems easy to perform, and by weighting risk factors of difficult intubation, it could help anaesthesiologists to plan a difficult airway management strategy. A value of SPIDS strictly above 10 could encourage the anaesthesiologists to plan for the beginning of the anaesthetic induction with 'alternative' airway devices ready in the operating theatre.

  13. Characterization and prediction of chemical functions and weight fractions in consumer products

    Directory of Open Access Journals (Sweden)

    Kristin K. Isaacs

    2016-01-01

    Full Text Available Assessing exposures from the thousands of chemicals in commerce requires quantitative information on the chemical constituents of consumer products. Unfortunately, gaps in available composition data prevent assessment of exposure to chemicals in many products. Here we propose filling these gaps via consideration of chemical functional role. We obtained function information for thousands of chemicals from public sources and used a clustering algorithm to assign chemicals into 35 harmonized function categories (e.g., plasticizers, antimicrobials, solvents. We combined these functions with weight fraction data for 4115 personal care products (PCPs to characterize the composition of 66 different product categories (e.g., shampoos. We analyzed the combined weight fraction/function dataset using machine learning techniques to develop quantitative structure property relationship (QSPR classifier models for 22 functions and for weight fraction, based on chemical-specific descriptors (including chemical properties. We applied these classifier models to a library of 10196 data-poor chemicals. Our predictions of chemical function and composition will inform exposure-based screening of chemicals in PCPs for combination with hazard data in risk-based evaluation frameworks. As new information becomes available, this approach can be applied to other classes of products and the chemicals they contain in order to provide essential consumer product data for use in exposure-based chemical prioritization.

  14. Hamster Weight Patterns Predict the Intensity and Course of Schistosoma haematobium Infection.

    Science.gov (United States)

    Le, Thien-Linh P; Boyett, Deborah M; Hurley-Novatny, Amelia; Hsieh, Michael H

    2015-10-01

    Although Syrian golden hamsters are widely used as hosts for experimental infection by Schistosoma haematobium , surprisingly little is known about the course of infection and associated intensity (as defined by measures of parasite burden). As such, we sought to define inexpensive, simple, noninvasive, and accurate methods for assessing and predicting the severity of disease in S. haematobium -infected hamsters in order to prevent premature hamster sacrifice and unexpected morbidity and mortality. Through monitoring the weight and behavior of infected hamsters, we determined that the weight-loss patterns of infected hamsters are highly correlated with commonly used measures of the severity of infection (i.e., numbers of eggs passed in the stool, worm burdens, and total egg yields). In contrast, we found no significant correlation between hamster weight-loss patterns and egg yields from liver and intestinal tissues. Our findings suggest that a more complex relationship exists among worm burden, fecundity, and egg passage in the feces than previously appreciated. Regardless, our data may be useful for workers seeking to optimize harvests of S. haematobium eggs and worms from infected hamsters for downstream applications.

  15. Predicting GM(1,N)Model for the Coefficient of Variation of Hectometer Yarn's Weight

    Institute of Scientific and Technical Information of China (English)

    LI Xiao-feng

    2010-01-01

    The Coefficient of Variation(CV)of hectometer yarn's weight is one of the guidelines to evaluate its intrinsic quality.In the spinning manufacturing,the control of cotton yarn's weight unevenness is accomplished mainly in terms of a spot-check on semi-product and a succedent adjust in process parameters during spinning based on technicians'experience.However,it is theoretically believed among manufacturers that with fixed technical levels and parameters in the spinning process,the quality parameters of assorted cotton have a certain influence on the CV.In order to find out a rule of the influence that assorted cotton has on the CV,a GM(1,N)model,correlated raw cotton's quality parameter with the CV,has firstly been developed according to the modeling theory of grey system,and then been applied in the designing step to predict the CV.It has been approved by practical modeling and validation that the model could fit preferably an accrual CV value,and provide a method of quantitative predicting analysis for textile manufacturers to design cotton yarn's quality.

  16. Prediction of Endpoint Phosphorus Content of Molten Steel in BOF Using Weighted K-Means and GMDH Neural Network%Prediction of Endpoint Phosphorus Content of Molten Steel in BOF Using Weighted K-Means and GMDH Neural Network

    Institute of Scientific and Technical Information of China (English)

    WANG Hong-bing; XU An-jun; AI Li-xiang; TIAN Nai-yuan

    2012-01-01

    The hybrid method composed of clustering and predicting stages is proposed to predict the endpoint phos- phorus content of molten steel in BOF (Basic Oxygen Furnace). At the clustering stage, the weighted K-means is performed to generate some clusters with homogeneous data. The weights of factors influencing the target are calcu- lated using EWM (Entropy Weight Method). At the predicting stage, one GMDH (Group Method of Data Handling) polynomial neural network is built for each cluster. And the predictive results from all the GMDH polynomial neural networks are integrated into a whole to be the result for the hybrid method. The hybrid method, GMDH polnomial neural network and BP neural network are employed for a comparison. The results show that the proposed hybrid method is effective in predicting the endpoint phosphorus content of molten steel in BOF. Furthermore, the hybrid method outperforms BP neural network and GMDH polynomial neural network.

  17. T2-weighted MRI signal predicts hormone and tumor responses to somatostatin analogs in acromegaly.

    Science.gov (United States)

    Potorac, Iulia; Petrossians, Patrick; Daly, Adrian F; Alexopoulou, Orsalia; Borot, Sophie; Sahnoun-Fathallah, Mona; Castinetti, Frederic; Devuyst, France; Jaffrain-Rea, Marie-Lise; Briet, Claire; Luca, Florina; Lapoirie, Marion; Zoicas, Flavius; Simoneau, Isabelle; Diallo, Alpha M; Muhammad, Ammar; Kelestimur, Fahrettin; Nazzari, Elena; Centeno, Rogelio Garcia; Webb, Susan M; Nunes, Marie-Laure; Hana, Vaclav; Pascal-Vigneron, Véronique; Ilovayskaya, Irena; Nasybullina, Farida; Achir, Samia; Ferone, Diego; Neggers, Sebastian J C M M; Delemer, Brigitte; Petit, Jean-Michel; Schöfl, Christof; Raverot, Gerald; Goichot, Bernard; Rodien, Patrice; Corvilain, Bernard; Brue, Thierry; Schillo, Franck; Tshibanda, Luaba; Maiter, Dominique; Bonneville, Jean-François; Beckers, Albert

    2016-11-01

    GH-secreting pituitary adenomas can be hypo-, iso- or hyper-intense on T2-weighted MRI sequences. We conducted the current multicenter study in a large population of patients with acromegaly to analyze the relationship between T2-weighted signal intensity on diagnostic MRI and hormonal and tumoral responses to somatostatin analogs (SSA) as primary monotherapy. Acromegaly patients receiving primary SSA for at least 3 months were included in the study. Hormonal, clinical and general MRI assessments were performed and assessed centrally. We included 120 patients with acromegaly. At diagnosis, 84, 17 and 19 tumors were T2-hypo-, iso- and hyper-intense, respectively. SSA treatment duration, cumulative and mean monthly doses were similar in the three groups. Patients with T2-hypo-intense adenomas had median SSA-induced decreases in GH and IGF-1 of 88% and 59% respectively, which were significantly greater than the decreases observed in the T2-iso- and hyper-intense groups (P < 0.001). Tumor shrinkage on SSA was also significantly greater in the T2-hypo-intense group (38%) compared with the T2-iso- and hyper-intense groups (8% and 3%, respectively; P < 0.0001). The response to SSA correlated with the calculated T2 intensity: the lower the T2-weighted intensity, the greater the decrease in random GH (P < 0.0001, r = 0.22), IGF-1 (P < 0.0001, r = 0.14) and adenoma volume (P < 0.0001, r = 0.33). The T2-weighted signal intensity of GH-secreting adenomas at diagnosis correlates with hormone reduction and tumor shrinkage in response to primary SSA treatment in acromegaly. This study supports its use as a generally available predictive tool at diagnosis that could help to guide subsequent treatment choices in acromegaly. © 2016 Society for Endocrinology.

  18. Fat mass loss predicts gain in physical function with intentional weight loss in older adults.

    Science.gov (United States)

    Beavers, Kristen M; Miller, Michael E; Rejeski, W Jack; Nicklas, Barbara J; Krichevsky, Stephen B; Kritchevsky, Stephen B

    2013-01-01

    Clinical recommendation of weight loss (WL) in older adults remains controversial, partially due to concerns regarding lean mass loss and potential loss of physical function. The purpose of this study is to determine the independent associations between changes in fat and lean mass and changes in physical function in older, overweight, and obese adults undergoing intentional WL. Data from three randomized-controlled trials of intentional WL in older adults with similar functional outcomes (short physical performance battery and Pepper assessment tool for disability) were combined. Analyses of covariance models were used to investigate relationships between changes in weight, fat, and lean mass (acquired using dual-energy x-ray absorptiometry) and changes in physical function. Overall loss of body weight was -7.8 ± 6.1 kg (-5.6 ± 4.1 kg and -2.7 ± 2.4 kg of fat and lean mass, respectively). In all studies combined, after adjustment for age, sex, and height, overall WL was associated with significant improvements in self-reported mobility disability (p fat and lean mass as independent variables found only the change in fat mass to significantly predict change in mobility disability (β[fat] = 0.04; p fat] = -0.01; p loss of body weight, following intentional WL, is associated with significant improvement in self-reported mobility disability and walking speed in overweight and obese older adults. Importantly, fat mass loss was found to be a more significant predictor of change in physical function than lean mass loss.

  19. Predicting the "Freshman 15": Environmental and Psychological Predictors of Weight Gain in First-Year University Students

    Science.gov (United States)

    Vella-Zarb, Rachel A.; Elgar, Frank J.

    2010-01-01

    Objectives: (1) To investigate weight gain in first-year university students; and (2) to examine whether environmental and psychological factors, specifically accommodation and stress, predict weight gain. Methods: Eighty-four first-year university students (77 per cent female) were weighed and completed the Perceived Stress Scale (Cohen, Kamarck…

  20. A distinct adipose tissue gene expression response to caloric restriction predicts 6-mo weight maintenance in obese subjects

    DEFF Research Database (Denmark)

    Mutch, D. M.; Pers, Tune Hannes; Temanni, M. R.

    2011-01-01

    AT) gene expression during a low-calorie diet (LCD) could be used to differentiate and predict subjects who experience successful short-term weight maintenance from subjects who experience weight regain. Design: Forty white women followed a dietary protocol consisting of an 8-wk LCD phase followed by a 6...

  1. One-week acid suppression trial in uninvestigated dyspepsia patients with epigastric pain or burning to predict response to 8 weeks' treatment with esomeprazole

    DEFF Research Database (Denmark)

    van Zanten, S V; Flook, N; Talley, N J;

    2007-01-01

    BACKGROUND: While empiric acid-suppressive therapy for uninvestigated dyspepsia patients with symptoms of epigastric pain or burning is standard practice, it is unknown whether an early response to therapy predicts outcome. AIM: To evaluate whether a 1-w acid suppression trial is effective for pr...

  2. On splice site prediction using weight array models: a comparison of smoothing techniques

    Science.gov (United States)

    Taher, Leila; Meinicke, Peter; Morgenstern, Burkhard

    2007-11-01

    In most eukaryotic genes, protein-coding exons are separated by non-coding introns which are removed from the primary transcript by a process called "splicing". The positions where introns are cut and exons are spliced together are called "splice sites". Thus, computational prediction of splice sites is crucial for gene finding in eukaryotes. Weight array models are a powerful probabilistic approach to splice site detection. Parameters for these models are usually derived from m-tuple frequencies in trusted training data and subsequently smoothed to avoid zero probabilities. In this study we compare three different ways of parameter estimation for m-tuple frequencies, namely (a) non-smoothed probability estimation, (b) standard pseudo counts and (c) a Gaussian smoothing procedure that we recently developed.

  3. Adolescent Eating Disorders Predict Psychiatric, High-Risk Behaviors and Weight Outcomes in Young Adulthood.

    Science.gov (United States)

    Micali, Nadia; Solmi, Francesca; Horton, Nicholas J; Crosby, Ross D; Eddy, Kamryn T; Calzo, Jerel P; Sonneville, Kendrin R; Swanson, Sonja A; Field, Alison E

    2015-08-01

    To investigate whether anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and other specified feeding and eating disorders (OSFED), including purging disorder (PD), subthreshold BN, and BED at ages 14 and 16 years, are prospectively associated with later depression, anxiety disorders, alcohol and substance use, and self-harm. Eating disorders were ascertained at ages 14 and 16 years in 6,140 youth at age 14 (58% of those eligible) and 5,069 at age 16 (52% of those eligible) as part of the prospective Avon Longitudinal Study of Parents and Children (ALSPAC). Outcomes (depression, anxiety disorders, binge drinking, drug use, deliberate self-harm, weight status) were measured using interviews and questionnaires about 2 years after predictors. Generalized estimating equation models adjusting for gender, socio-demographic variables, and prior outcome were used to examine prospective associations between eating disorders and each outcome. All eating disorders were predictive of later anxiety disorders. AN, BN, BED, PD, and OSFED were prospectively associated with depression (respectively AN: odds ratio [OR] = 1.39, 95% CI = 1.00-1.94; BN: OR = 3.39, 95% CI = 1.25-9.20; BED: OR = 2.00, 95% CI = 1.06-3.75; and PD: OR = 2.56, 95% CI = 1.38-4.74). All eating disorders but AN predicted drug use and deliberate self-harm (BN: OR = 5.72, 95% CI = 2.22-14.72; PD: OR = 4.88, 95% CI = 2.78-8.57; subthreshold BN: OR = 3.97, 95% CI = 1.44-10.98; and subthreshold BED: OR = 2.32, 95% CI = 1.43-3.75). Although BED and BN predicted obesity (respectively OR = 3.58, 95% CI = 1.06-12.14 and OR = 6.42, 95% CI = 1.69-24.30), AN was prospectively associated with underweight. Adolescent eating disorders, including subthreshold presentations, predict negative outcomes, including mental health disorders, substance use, deliberate self-harm, and weight outcomes. This study highlights the high public health and clinical burden of eating disorders

  4. Prediction of low birth weight: the placental T2* estimated by MRI versus the uterine artery pulsatility index

    DEFF Research Database (Denmark)

    Sinding, Marianne Munk; Peters, David Alberg; Frøkjær, Jens Brøndum;

    CONTROL ID: 2516296 ABSTRACT FINAL ID: P22.05 TITLE: Prediction of low birth weight: the placental T2* estimated by MRI versus the uterine artery pulsatility index AUTHORS (FIRST NAME, LAST NAME): Marianne Sinding1, David Peters2, Jens B. Frøkjær3, 4, Ole B. Christiansen1, 4, Astrid Petersen5...... (MRI) variable T2* reflects the placental oxygenation and thereby placental function. Therefore, we aimed to evaluate the performance of placental T2* in the prediction of low birth weight using the uterine artery (UtA) pulsatility index (PI) as gold standard. Methods: The study population...... was a selected, mixed population regarding the risk of low birth weight. According to our national guidelines, pregnancies with ultrasound estimated fetal weight (EFW) birth weight. We included 96 pregnancies at 20-40 weeks' gestation, of which 68 had an EFW ≥ -15% and 28...

  5. A model predicting fluindione dose requirement in elderly inpatients including genotypes, body weight, and amiodarone.

    Science.gov (United States)

    Moreau, Caroline; Pautas, Eric; Duverlie, Charlotte; Berndt, Celia; Andro, Marion; Mahé, Isabelle; Emmerich, Joseph; Lacut, Karine; Le Gal, Grégoire; Peyron, Isabelle; Gouin-Thibault, Isabelle; Golmard, Jean-Louis; Loriot, Marie-Anne; Siguret, Virginie

    2014-04-01

    Indandione VKAs have been widely used for decades, especially in Eastern Europe and France. Contrary to coumarin VKAs, the relative contribution of individual factors to the indandione-VKA response is poorly known. In the present multicentre study, we sought to develop and validate a model including genetic and non-genetic factors to predict the daily fluindione dose requirement in elderly patients in whom VKA dosing is challenging. We prospectively recorded clinical and therapeutic data in 230 Caucasian inpatients mean aged 85 ± 6 years, who had reached international normalized ratio stabilisation (range 2.0-3.0) on fluindione. In the derivation cohort (n=156), we analysed 13 polymorphisms in seven genes potentially involved in the pharmacological effect or vitamin-K cycle (VKORC1, CYP4F2, EPHX1) and fluindione metabolism/transport (CYP2C9, CYP2C19, CYP3A5, ABCB1). We built a regression model incorporating non-genetic and genetic data and evaluated the model performances in a separate cohort (n=74).Body-weight, amiodarone intake, VKORC1, CYP4F2, ABCB1 genotypes were retained in the final model, accounting for 31.5% of dose variability. None influence of CYP2C9 was observed. Our final model showed good performances: in 83.3% of the validation cohort patients, the dose was accurately predicted within 5 mg, i.e.the usual step used for adjusting fluindione dosage. In conclusion, in addition to body-weight and amiodarone-intake, pharmacogenetic factors (VKORC1, CYP4F2, ABCB1) related to the pharmacodynamic effect and transport of fluindione significantly influenced the dose requirement in elderly patients while CYP2C9 did not. Studies are required to know whether fluindione could be an alternative VKA in carriers of polymorphic CYP2C9 alleles, hypersensitive to coumarins.

  6. A simplified model predicting the weight of the load carrying beam in a wind turbine blade

    Science.gov (United States)

    Mikkelsen, Lars P.

    2016-07-01

    Based on a simplified beam model, the loads, stresses and deflections experienced by a wind turbine blade of a given length is estimated. Due to the simplicity of the model used, the model is well suited for work investigating scaling effects of wind turbine blades. Presently, the model is used to predict the weight of the load carrying beam when using glass fibre reinforced polymers, carbon fibre reinforced polymers or an aluminium alloy as the construction material. Thereby, it is found that the weight of a glass fibre wind turbine blade is increased from 0.5 to 33 tons when the blade length grows from 20 to 90 m. In addition, it can be seen that for a blade using glass fibre reinforced polymers, the design is controlled by the deflection and thereby the material stiffness in order to avoid the blade to hit the tower. On the other hand if using aluminium, the design will be controlled by the fatigue resistance in order to making the material survive the 100 to 500 million load cycles experience of the wind turbine blade throughout the lifetime. The aluminium blade is also found to be considerably heavier compared with the composite blades.

  7. Smoking and adipose tissue inflammation suppress leptin expression in Japanese obese males: potential mechanism of resistance to weight loss among Japanese obese smokers

    Directory of Open Access Journals (Sweden)

    Nagayasu Shintaro

    2012-02-01

    Full Text Available Abstract Background The effect of smoking on leptin regulation is controversial. Smoking may induce low-grade inflammation. Recent series of studies indicated the critical role of macrophage migration in the establishment of adipose tissue inflammation. In this study, we aimed to see the effects of smoking and inflammation on leptin regulation both at cellular and epidemiological levels. Methods We compared the concentration of inflammatory markers and serum leptin levels among Japanese male subjects. Additionally, leptin and intercellular adhesion molecule (ICAM -1 gene expression was assessed in adipocytes co-cultured with or without macrophages in the presence or absence of nicotine and/or lipopolysaccharide (LPS. Results In subjects with BMI below 25 kg/m2, both WBC counts and soluble-ICAM-1 levels are significantly higher in smokers than in non-smokers. However, leptin concentration did not differ according to smoking status. However, in subjects with BMI over 25 kg/m2, smokers exhibited significantly lower serum leptin level as well as higher WBC counts and s-ICAM-1 concentration as compared with non-smokers. Leptin gene expression was markedly suppressed in adipocytes co-cultured with macrophages than in adipocyte culture alone. Furthermore, nicotine further suppressed leptin gene expression. ICAM-1 gene expression was markedly up-regulated in adipocytes co-cultured with macrophages when stimulated with LPS. Conclusions Adipose tissue inflammation appears to down-regulate leptin expression in adipose tissues. Nicotine further suppresses leptin expression. Thus, both smoking and inflammation may diminish leptin effect in obese subjects. Therefore, obese, but not normal weight, smokers might be more resistant to weight loss than non-smokers.

  8. Fetal weight estimation for prediction of fetal macrosomia: does additional clinical and demographic data using pattern recognition algorithm improve detection?

    Science.gov (United States)

    Degani, Shimon; Peleg, Dori; Bahous, Karina; Leibovitz, Zvi; Shapiro, Israel; Ohel, Gonen

    2008-01-01

    Objective The aim of this study was to test whether pattern recognition classifiers with multiple clinical and sonographic variables could improve ultrasound prediction of fetal macrosomia over prediction which relies on the commonly used formulas for the sonographic estimation of fetal weight. Methods The SVM algorithm was used for binary classification between two categories of weight estimation: >4000gr and macrosomia with a sensitivity of 81%, specificity of 73%, positive predictive value of 81% and negative predictive value of 73%. The comparative figures according to the combined criteria based on two commonly used formulas generated from regression analysis were 88.1%, 34%, 65.8%, 66.7%. Conclusions The SVM algorithm provides a comparable prediction of LGA fetuses as other commonly used formulas generated from regression analysis. The better specificity and better positive predictive value suggest potential value for this method and further accumulation of data may improve the reliability of this approach. PMID:22439018

  9. Negotiators' profit predicted by cognitive reappraisal, suppression of emotions, misrepresentation of information, and tolerance of ambiguity.

    Science.gov (United States)

    Yurtsever, Gülçimen

    2008-04-01

    This study examined the relationship between negative emotions and variables that affect negotiators' profit. Based on a simulated negotiation, this study induced emotions by providing negative feedback on how negotiating partners perceived and evaluated each other's behavior. Then relationships were examined between negative emotions and emotional regulation strategies, misrepresentation of information, tolerance of ambiguity, and negotiators' profit. A total of 228 undergraduate students enrolled in an economics course in the Faculty of Law and the Faculty of Management at a university in Ankara participated. There were 130 students in the experimental group and 98 students in the control group; 102 were men and 126 were women, ages 17 to 35 years (M =22.6 yr., SD = 2.3). A simulated negotiation process was used. Regression coefficients suggested positive relation between Emotional Reaction and the use of a Suppression strategy and Misrepresentation of Information. Negative coefficients were obtained from scores between Emotional Reaction and Cognitive Reappraisal and Tolerance of Ambiguity. The regression also suggested there were negative regression coefficients linking Misrepresentation of Information and Suppression strategies to Negotiators' Profit. Positive regression coefficients linked Tolerance of Ambiguity to Negotiators' Profit. Mediating variables explained 55% of variance in Negotiators' Profit; the majority (43%) was explained by Cognitive Reappraisal.

  10. Dynamic vortex interactions with flexible fibers and edges for prediction of owl noise suppression

    Science.gov (United States)

    Korykora, Sarah; Jaworski, Justin

    2015-11-01

    The compliant trailing-edge fringe of owls and the soft downy material on their upper wing surfaces are thought to enable their silent flight by weakening the interaction of boundary layer turbulence with these flexible structures. Previous analysis of turbulence noise generation by wave-bearing elastic edges have shown that the far-field acoustic power scaling can be weakened by up to the square of the Mach number relative to a rigid edge. However, it is unclear whether or not the wave-bearing feature or simply the flexible nature of the edge scatterer produces this noise suppression. To assess this distinction, a dynamic vortex interaction model is developed whereby the motion of a line vortex round a rigid but elastically-restrained wall-mounted fiber or trailing edge is determined numerically. Special attention is paid to the dynamic interaction between the flexible structure and vortex, which is accomplished via a conformal mapping relationship determined in closed form. Results from this analysis seek to develop a vortex sound model to discern the effect of flexible versus wave-bearing scatterers on turbulence noise suppression and help explain the mechanisms of silent owl flight.

  11. The Use of Green Leaf Membranes to Promote Appetite Control, Suppress Hedonic Hunger and Loose Body Weight

    OpenAIRE

    Erlanson-Albertsson, Charlotte; Albertsson, Per-Åke

    2015-01-01

    On-going research aims at answering the question, which satiety signal is the most potent or which combination of satiety signals is the most potent to stop eating. There is also an aim at finding certain food items or food additives that could be used to specifically reduce food intake therapeutically. Therapeutic attempts to normalize body weight and glycaemia with single agents alone have generally been disappointing. The success of bariatric surgery illustrates the rationale of using seve...

  12. During rapid weight loss in obese children, reductions in TSH predict improvements in insulin sensitivity independent of changes in body weight or fat.

    Science.gov (United States)

    Aeberli, Isabelle; Jung, Andreas; Murer, Stefanie B; Wildhaber, Johannes; Wildhaber-Brooks, Joanne; Knöpfli, Bruno H; Zimmermann, Michael B

    2010-12-01

    Although serum TSH is often elevated in obesity and may be linked to disorders of lipid and glucose metabolism, the clinical relevance of these relationships remains unclear. Subjects were obese children and adolescents (n=206; mean age 14 yr) undergoing rapid weight and fat loss in a standardized, multidisciplinary, 2-month, in-patient weight loss program. This was a prospective study that determined thyroid function, glucose and lipid parameters, leptin, anthropometric measures, and body composition measured by dual-energy x-ray absorption at baseline and at the end of the intervention. At baseline, 52% of children had TSH concentrations in the high normal range (>2.5 mU/liter), but TSH was not correlated with body weight, body mass index sd scores, lean body mass, or body fat percentage. At baseline, independent of adiposity, TSH significantly correlated with total cholesterol (P=0.008), low-density lipoprotein cholesterol (P=0.013), fasting insulin (P=0.010), homeostatic model assessment (HOMA) (P=0.004), and leptin (P=0.006). During the intervention, mean body fat, TSH, HOMA, and fasting insulin decreased by 21, 11, 53, and 54%, respectively. Change (Δ) in TSH did not correlate with Δbody weight or Δbody composition, but ΔTSH significantly correlated with, Δfasting insulin and ΔHOMA, independent of Δbody weight or Δbody composition (Pweight or fat. During weight loss, independent of changes in body weight or composition, decreases in elevated serum TSH predict decreases in fasting insulin and HOMA. These findings suggest interventions that target high TSH concentrations during weight loss in obese subjects may improve insulin sensitivity.

  13. TO COMPARE THE ACCURACY OF PREDICTED BIRTH WEIGHT BY ULTRASONOGRAPHIC MEASUREMENTS OBTAINED JUST BEFORE AND AT TERM

    Directory of Open Access Journals (Sweden)

    Debraj

    2015-03-01

    Full Text Available BACKGROUND: Fetal weight measurement by ultrasonographic methods can be considered as an important modality for antenatal prediction of fetal weight (preferable single USG should be done at 34 - 36.9wks to rule out various complications of pregnancy such as macrosomia, IUGR etc which enable us to be prepared for the delivery of the baby and prevent any further dreaded complications resulting out of these conditions including shoulder dystocia, severely compromised baby AIM: To compare the accuracy of predicted birth weight by ultrasonographic measurements obtained just before and at term. METHOD: The study was performed in a tertiary care Hospital in West Bengal between 1st July 2012 to 30th June 2013 on 100 Pregnant women attending Antenatal Clinic (34 - 36.9 wks with a live singleton pregnancy, all women underwent ultrasound examination twice( 37 weeks. The estimated fetal weight calculated using Hadlock’s formula. D ata were then compared for each pair of sonograms from the same patient using a paired t test. P value of <0.05 was considered statistically significant. RESULTS: The study included 100 patients undergoing 200 sonograms. The mean absolute error of the predicted birth weight was smaller for period 1 (34 - 36.9 wks than for period 2 (≥ 37 wks (152 ± 125g compared with 193.5 ± 121g, P=0.0001. The overall mean absolute percent errors in predicting birth weight were 5.6 ± 4.7 (Period 1 & 7.6 ± 4.3 (Period 2 for IUGR and 5.4 ± 3.9 (Period 1 & 6 ± 3 (Period 2 for Macrosomia. Averaging data from both gestational periods did not improve the prediction of birth weight. Our study did not show any correlation between latency and the accuracy of birth weight predictions. CONCLUSION: This study indicates that serial sonograms in the late third trimester do not improve the ability to predict birth weight, even in abnormally grown fetuses. So, a single sonogram between 34 and 37 weeks’ gestation is recommended for prediction of birth

  14. A nonlinear modeling approach using weighted piecewise series and its applications to predict unsteady flows

    Science.gov (United States)

    Yao, Weigang; Liou, Meng-Sing

    2016-08-01

    To preserve nonlinearity of a full-order system over a range of parameters of interest, we propose an accurate and robust nonlinear modeling approach by assembling a set of piecewise linear local solutions expanded about some sampling states. The work by Rewienski and White [1] on micromachined devices inspired our use of piecewise linear local solutions to study nonlinear unsteady aerodynamics. These local approximations are assembled via nonlinear weights of radial basis functions. The efficacy of the proposed procedure is validated for a two-dimensional airfoil moving with different pitching motions, specifically AGARD's CT2 and CT5 problems [27], in which the flows exhibit different nonlinear behaviors. Furthermore, application of the developed aerodynamic model to a two-dimensional aero-elastic system proves the approach is capable of predicting limit cycle oscillations (LCOs) by using AGARD's CT6 [28] as a benchmark test. All results, based on inviscid solutions, confirm that our nonlinear model is stable and accurate, against the full model solutions and measurements, and for predicting not only aerodynamic forces but also detailed flowfields. Moreover, the model is robust for inputs that considerably depart from the base trajectory in form and magnitude. This modeling provides a very efficient way for predicting unsteady flowfields with varying parameters because it needs only a tiny fraction of the cost of a full-order modeling for each new condition-the more cases studied, the more savings rendered. Hence, the present approach is especially useful for parametric studies, such as in the case of design optimization and exploration of flow phenomena.

  15. Validation of a new formula for predicting body weight in a Mexican population with overweight and obesity

    Directory of Open Access Journals (Sweden)

    Gabriela Quiroz-Olguín

    2013-06-01

    Full Text Available Introduction: Body weight measurement is of critical importance when evaluating the nutritional status of patients entering a hospital. In some situations, such as the case of patients who are bedridden or in wheelchairs, these measurements cannot be obtained using standardized methods. We have designed and validated a formula for predicting body weight. Objectives: To design and validate a formula for predicting body weight using circumference-based equations. Methods: The following anthropometric measurements were taken for a sample of 76 patients: weight (kg, calf circumference, average arm circumference, waist circumference, hip circumference, wrist circumference and demispan. All circumferences were taken in centimeters (cm, and gender and age were taken into account. This equation was validated in 85 individuals from a different population. The correlation with the new equation was analyzed and compared to a previously validated method. Results: The equation for weight prediction was the following: Weight = 0.524 (WC - 0.176 (age + 0.484 (HC + 0.613 (DS + 0.704 (CC + 2.75 (WrC - 3.330 (if female -140.87. The correlation coefficient was 0.96 for the total group of patients, 0.971 for men and 0.961 for women (p < 0.0001 for all measurements. Conclusion: The equation we developed is accurate and can be used to estimate body weight in overweight and/or obese patients with mobility problems, such as bedridden patients or patients in wheelchairs.

  16. Predicting the Multisensory Consequences of One’s Own Action: BOLD Suppression in Auditory and Visual Cortices

    Science.gov (United States)

    van Kemenade, Bianca M.; Arikan, B. Ezgi; Fiehler, Katja; Leube, Dirk T.; Harris, Laurence R.; Kircher, Tilo

    2017-01-01

    Predictive mechanisms are essential to successfully interact with the environment and to compensate for delays in the transmission of neural signals. However, whether and how we predict multisensory action outcomes remains largely unknown. Here we investigated the existence of multisensory predictive mechanisms in a context where actions have outcomes in different modalities. During fMRI data acquisition auditory, visual and auditory-visual stimuli were presented in active and passive conditions. In the active condition, a self-initiated button press elicited the stimuli with variable short delays (0-417ms) between action and outcome, and participants had to detect the presence of a delay for auditory or visual outcome (task modality). In the passive condition, stimuli appeared automatically, and participants had to detect the number of stimulus modalities (unimodal/bimodal). For action consequences compared to identical but unpredictable control stimuli we observed suppression of the blood oxygen level depended (BOLD) response in a broad network including bilateral auditory and visual cortices. This effect was independent of task modality or stimulus modality and strongest for trials where no delay was detected (undetectedbrain regions. These findings support the hypothesis of multisensory predictive mechanisms, which are probably conducted in the left cerebellum. PMID:28060861

  17. Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction.

    Science.gov (United States)

    Zhao, Di; Weng, Chunhua

    2011-10-01

    In this paper, we propose a novel method that combines PubMed knowledge and Electronic Health Records to develop a weighted Bayesian Network Inference (BNI) model for pancreatic cancer prediction. We selected 20 common risk factors associated with pancreatic cancer and used PubMed knowledge to weigh the risk factors. A keyword-based algorithm was developed to extract and classify PubMed abstracts into three categories that represented positive, negative, or neutral associations between each risk factor and pancreatic cancer. Then we designed a weighted BNI model by adding the normalized weights into a conventional BNI model. We used this model to extract the EHR values for patients with or without pancreatic cancer, which then enabled us to calculate the prior probabilities for the 20 risk factors in the BNI. The software iDiagnosis was designed to use this weighted BNI model for predicting pancreatic cancer. In an evaluation using a case-control dataset, the weighted BNI model significantly outperformed the conventional BNI and two other classifiers (k-Nearest Neighbor and Support Vector Machine). We conclude that the weighted BNI using PubMed knowledge and EHR data shows remarkable accuracy improvement over existing representative methods for pancreatic cancer prediction.

  18. Breast MRI at 7 Tesla with a bilateral coil and T1-weighted acquisition with robust fat suppression: image evaluation and comparison with 3 Tesla

    Energy Technology Data Exchange (ETDEWEB)

    Brown, Ryan; Storey, Pippa; McGorty, KellyAnne; Klautau Leite, Ana Paula; Babb, James; Sodickson, Daniel K.; Wiggins, Graham C.; Moy, Linda [New York University Langone Medical Center, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York, NY (United States); Geppert, Christian [Siemens Medical Solutions USA Inc., New York, NY (United States)

    2013-11-15

    To evaluate the image quality of T1-weighted fat-suppressed breast MRI at 7 T and to compare 7-T and 3-T images. Seventeen subjects were imaged using a 7-T bilateral transmit-receive coil and 3D gradient echo sequence with adiabatic inversion-based fat suppression (FS). Images were graded on a five-point scale and quantitatively assessed through signal-to-noise ratio (SNR), fibroglandular/fat contrast and signal uniformity measurements. Image scores at 7 and 3 T were similar on standard-resolution images (1.1 x 1.1 x 1.1-1.6 mm{sup 3}), indicating that high-quality breast imaging with clinical parameters can be performed at 7 T. The 7-T SNR advantage was underscored on 0.6-mm isotropic images, where image quality was significantly greater than at 3 T (4.2 versus 3.1, P {<=} 0.0001). Fibroglandular/fat contrast was more than two times higher at 7 T than at 3 T, owing to effective adiabatic inversion-based FS and the inherent 7-T signal advantage. Signal uniformity was comparable at 7 and 3 T (P < 0.05). Similar 7-T image quality was observed in all subjects, indicating robustness against anatomical variation. The 7-T bilateral transmit-receive coil and adiabatic inversion-based FS technique produce image quality that is as good as or better than at 3 T. (orig.)

  19. Postmortem Study of Validation of Low Signal on Fat-Suppressed T1-Weighted Magnetic Resonance Imaging as Marker of Lipid Core in Middle Cerebral Artery Atherosclerosis

    Science.gov (United States)

    Yang, Wen-Jie; Zhao, Hai-Lu; Niu, Chun-Bo; Zhang, Bing; Xu, Yun; Wong, Ka-Sing; Ng, Ho-Keung

    2016-01-01

    Background and Purpose— High signal on T1-weighted fat-suppressed images in middle cerebral artery plaques on ex vivo magnetic resonance imaging was verified to be intraplaque hemorrhage histologically. However, the underlying plaque component of low signal on T1-weighted fat-suppressed images (LST1) has never been explored. Based on our experience, we hypothesized that LST1 might indicate the presence of lipid core within intracranial plaques. Methods— 1.5 T magnetic resonance imaging was performed in the postmortem brains to scan the cross sections of bilateral middle cerebral arteries. Then middle cerebral artery specimens were removed for histology processing. LST1 presence was identified on magnetic resonance images, and lipid core areas were measured on the corresponding histology sections. Results— Total 76 middle cerebral artery locations were included for analysis. LST1 showed a high specificity (96.9%; 95% confidence interval, 82.0%–99.8%) but a low sensitivity (38.6%; 95% confidence interval, 24.7%–54.5%) for detecting lipid core of all areas. However, the sensitivity increased markedly (81.2%; 95% confidence interval, 53.7%–95.0%) when only lipid cores of area ≥0.80 mm2 were included. Mean lipid core area was 5× larger in those with presence of LST1 than in those without (1.63±1.18 mm2 versus 0.32±0.31 mm2; P=0.003). Conclusions— LST1 is a promising imaging biomarker of identifying intraplaque lipid core, which may be useful to distinguish intracranial atherosclerotic disease from other intracranial vasculopathies and to assess plaque vulnerability for risk stratification of patients with intracranial atherosclerotic disease. In vivo clinical studies are required to explore the correlation between LST1 and clinical outcomes of patients with intracranial atherosclerotic disease. PMID:27462119

  20. MR imaging of hypoglycemic encephalopathy: lesion distribution and prognosis prediction by diffusion-weighted imaging

    Energy Technology Data Exchange (ETDEWEB)

    Ma, Jeong-Hyun; Kim, Young-Joo; Yoo, Won-Jong; Ihn, Yon-Kwon; Kim, Jee-Young; Kim, Bum-Soo [The Catholic University of Korea, Department of Radiology, College of Medicine, Uijongbu, Kyunggi-do (Korea); Song, Ha-Hun [Cheju Halla General Hospital, Department of Radiology, Jeju (Korea)

    2009-10-15

    The aim of this study was to evaluate the patterns of hypoglycemic encephalopathy on diffusion-weighted imaging (DWI) and the relationship between the imaging patterns and clinical outcomes. This retrospective study included 17 consecutive patients that had hypoglycemic encephalopathy with DWI abnormalities. The topographic distributions of the DWI abnormalities of the cortex, deep gray matter, and white matter structures were assessed. In addition, possible correlation between the patterns of brain injury on DWI and clinical outcomes was investigated. There were three patterns of DWI abnormalities: involvement of both gray and white matter (n=8), selective involvement of gray matter (n=4), and selective involvement of white matter (n=5). There was no significant difference in the initial blood glucose levels among patients for each of the imaging patterns. Most patients (16/17) had bilateral symmetrical abnormalities. Among patients with bilateral symmetrical gray and/or white matter injuries, one had moderate to severe disability and 14 remained in a persistent vegetative state. The two patients with a focal unilateral white matter abnormality and a localized splenial abnormality recovered without neurological deficits. The results of this study showed that white matter was more sensitive to hypoglycemia than previously thought and there was no specific association between the patterns of injury and clinical outcomes whether the cerebral cortex, deep gray matter, and/or white matter were affected. Diffuse and extensive injury observed on the DWI predicts a poor neurologic outcome in patients with hypoglycemic injuries. (orig.)

  1. Total and High Molecular Weight Adiponectin Levels and Prediction of Cardiovascular Risk in Diabetic Patients

    Directory of Open Access Journals (Sweden)

    Dagmar Horáková

    2015-01-01

    Full Text Available The study aimed at assessing the potential use of lower total and HMW adiponectin levels for predicting cardiovascular risk in patients with type 2 diabetes mellitus (T2DM. Concentrations of total adiponectin or high molecular weight (HMW adiponectin decrease in association with the development of metabolic dysfunction such as obesity, insulin resistance, or T2DM. Increased adiponectin levels are associated with a lower risk for coronary heart disease. A total of 551 individuals were assessed. The first group comprised metabolically healthy participants (143 females, and 126 males and the second group were T2DM patients (164 females, and 118 males. Both total adiponectin and HMW adiponectin in diabetic patients were significantly lower when compared with the group of metabolically healthy individuals. There was a weak monotonic correlation between HMW adiponectin levels and triglycerides levels. Binary logistic regression analysis, gender adjusted, showed a higher cardiovascular risk in diabetic persons when both total adiponectin (OR = 1.700 and HMW adiponectin (OR = 2.785 levels were decreased. A decrease in total adiponectin levels as well as a decrease in its HMW adiponectin is associated with a higher cardiovascular risk in individuals with T2DM. This association suggests that adiponectin levels may be potentially used as an epidemiological marker for cardiovascular risk in diabetic patients.

  2. Position Weight Matrix, Gibbs Sampler, and the Associated Significance Tests in Motif Characterization and Prediction

    Directory of Open Access Journals (Sweden)

    Xuhua Xia

    2012-01-01

    Full Text Available Position weight matrix (PWM is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler for characterizing and discovering motifs in nucleotide or amino acid sequences. However, few generally applicable statistical tests are available for evaluating the significance of site patterns, PWM, and PWM scores (PWMS of putative motifs. Statistical significance tests of the PWM output, that is, site-specific frequencies, PWM itself, and PWMS, are in disparate sources and have never been collected in a single paper, with the consequence that many implementations of PWM do not include any significance test. Here I review PWM-based methods used in motif characterization and prediction (including a detailed illustration of the Gibbs sampler for de novo motif discovery, present statistical and probabilistic rationales behind statistical significance tests relevant to PWM, and illustrate their application with real data. The multiple comparison problem associated with the test of site-specific frequencies is best handled by false discovery rate methods. The test of PWM, due to the use of pseudocounts, is best done by resampling methods. The test of individual PWMS for each sequence segment should be based on the extreme value distribution.

  3. Higher incremental insulin area under the curve during oral glucose tolerance test predicts less food intake and weight gain.

    Science.gov (United States)

    He, J; Votruba, S; Venti, C; Krakoff, J

    2011-12-01

    To investigate the correlation of peripheral insulin concentrations with food intake and body weight. Cross sectional and longitudinal clinical study: we investigated the association of peripheral insulin concentrations in response to an oral glucose tolerance test (OGTT) with subsequent measures of ad libitum food intake and body weight change. Food intake analysis: Pima Indians (n=67, 63% male; body mass index (mean ± s.d.) 34.2 ± 9.4 kg m(-2)) with normal glucose regulation (NGR; fasting glucose libitum food intake measured over 3 days by an automated vending machine system. Weight change analysis: Pima Indians with NGR (n=339) who also participated in a longitudinal study of risks for type 2 diabetes and had follow-up weights. Food intake analysis: incremental area under the curve (iAUC) for insulin during the OGTT was negatively associated with mean daily ad libitum energy intake (DEI) (r=-0.26, P=0.04), calories consumed as percent weight-maintenance energy needs (%WMEN) (r=-0.38, P=0.002) and carbohydrate intake (gram per day) (r=-0.35, P=0.005). Adjustment for age and sex attenuated the association of iAUC with DEI (P=0.06) not with %WMEN and carbohydrate intake (P=0.005, P=0.008). Weight change analysis: after adjustment for age, sex, follow-up time and initial body weight, higher insulin iAUC predicted less absolute and percent weight change (β=-6.9, P=0.02; β=-0.08, P=0.008, respectively). In healthy Pima Indians with NGR, higher plasma iAUC during an OGTT predicted lower food intake and carbohydrate consumption and less weight gain. These data indicated a role for peripheral insulin as a negative feedback signal in the regulation of energy intake and body weight.

  4. Child Mortality as Predicted by Nutritional Status and Recent Weight Velocity in Children under Two in Rural Africa.

    LENUS (Irish Health Repository)

    2012-01-31

    WHO has released prescriptive child growth standards for, among others, BMI-for-age (BMI-FA), mid-upper arm circumference-for-age, and weight velocity. The ability of these indices to predict child mortality remains understudied, although growth velocity prognostic value underlies current growth monitoring programs. The study aims were first to assess, in children under 2, the independent and combined ability of these indices and of stunting to predict all-cause mortality within 3 mo, and second, the comparative abilities of weight-for-length (WFL) and BMI-FA to predict short-term (<3 mo) mortality. We used anthropometry and survival data from 2402 children aged between 0 and 24 mo in a rural area of the Democratic Republic of Congo with high malnutrition and mortality rates and limited nutritional rehabilitation. Analyses used Cox proportional hazard models and receiver operating characteristic curves. Univariate analysis and age-adjusted analysis showed predictive ability of all indices. Multivariate analysis without age adjustment showed that only very low weight velocity [HR = 3.82 (95%CI = 1.91, 7.63); P < 0.001] was independently predictive. With age adjustment, very low weight velocity [HR = 3.61 (95%CI = 1.80, 7.25); P < 0.001] was again solely retained as an independent predictor. There was no evidence for a difference in predictive ability between WFL and BMI-FA. This paper shows the value of attained BMI-FA, a marker of wasting status, and recent weight velocity, a marker of the wasting process, in predicting child death using the WHO child growth standards. WFL and BMI-FA appear equivalent as predictors.

  5. Triglyceride/HDL ratio as a screening tool for predicting success at reducing anti-diabetic medications following weight loss.

    Directory of Open Access Journals (Sweden)

    Ghanshyam Palamaner Subash Shantha

    Full Text Available BACKGROUND AND OBJECTIVES: Intentional weight loss, by reducing insulin resistance, results in both better glycemic control and decreased need for anti-diabetic medications. However, not everyone who is successful with weight loss is able to reduce anti-diabetic medication use. In this retrospective cohort study, we assessed the predictive accuracy of baseline triglyceride (TGL/HDL ratio, a marker of insulin resistance, to screen patients for success in reducing anti-diabetic medication use with weight loss. METHODS: Case records of 121 overweight and obese attendees at two outpatient weight management centers were analyzed. The weight loss intervention consisted of a calorie-restricted diet (~1000Kcal/day deficit, a behavior modification plan, and a plan for increasing physical activity. RESULTS: Mean period of follow-up was 12.5 ± 3.5 months. By study exit, mean weight loss and mean HbA1c% reduction were 15.4 ± 5.5 kgs and 0.5 ± 0.2% respectively. 81 (67% in the study cohort achieved at least 1 dose reduction of any anti-diabetic medication. Tests for predictive accuracy of baseline TGL/HDL ratio ≤ 3 to determine success with dose reductions of anti-diabetic medications showed a sensitivity, specificity, positive predictive value, negative predictive value, area under the curve, likelihood ratio (LR + and LR-of 81, 83, 90, 70, 78, 4.8 and 0.2, respectively. Reproducibility of TGL/HDL ratio was acceptable. CONCLUSION: TGL/HDL ratio shows promise as an effective screening tool to determine success with dose reductions of anti-diabetic medications. The results of our study may inform the conduct of a systematic review using data from prior weight loss trials.

  6. Triglyceride/HDL ratio as a screening tool for predicting success at reducing anti-diabetic medications following weight loss.

    Science.gov (United States)

    Palamaner Subash Shantha, Ghanshyam; Kumar, Anita Ashok; Kahan, Scott; Irukulla, Pavan Kumar; Cheskin, Lawrence Jay

    2013-01-01

    Intentional weight loss, by reducing insulin resistance, results in both better glycemic control and decreased need for anti-diabetic medications. However, not everyone who is successful with weight loss is able to reduce anti-diabetic medication use. In this retrospective cohort study, we assessed the predictive accuracy of baseline triglyceride (TGL)/HDL ratio, a marker of insulin resistance, to screen patients for success in reducing anti-diabetic medication use with weight loss. Case records of 121 overweight and obese attendees at two outpatient weight management centers were analyzed. The weight loss intervention consisted of a calorie-restricted diet (~1000Kcal/day deficit), a behavior modification plan, and a plan for increasing physical activity. Mean period of follow-up was 12.5 ± 3.5 months. By study exit, mean weight loss and mean HbA1c% reduction were 15.4 ± 5.5 kgs and 0.5 ± 0.2% respectively. 81 (67%) in the study cohort achieved at least 1 dose reduction of any anti-diabetic medication. Tests for predictive accuracy of baseline TGL/HDL ratio ≤ 3 to determine success with dose reductions of anti-diabetic medications showed a sensitivity, specificity, positive predictive value, negative predictive value, area under the curve, likelihood ratio (LR) + and LR-of 81, 83, 90, 70, 78, 4.8 and 0.2, respectively. Reproducibility of TGL/HDL ratio was acceptable. TGL/HDL ratio shows promise as an effective screening tool to determine success with dose reductions of anti-diabetic medications. The results of our study may inform the conduct of a systematic review using data from prior weight loss trials.

  7. The predictive value of an acute octreotide suppression test in patients with acromegaly

    Directory of Open Access Journals (Sweden)

    Mateja Strinović

    2015-12-01

    Full Text Available Acromegaly is a rare chronic disorder that is in 95% of cases caused by growth hormone (GH secreting pituitary tumors. Endonasal transphenoidal surgery is usually considered the first line of treatment, followed by medical therapy for residual disease. The long-acting somatostatin (SA analogues have an important role in the medical treatment of these patients. SA exert their biological effects by activating somatostatin receptors (SSTR. The predominant types of SSTR receptors in GH-secreting pituitary tumors are subtypes 2 (SSTR2 and 5 (SSTR5. The efficacy of somatostatin analog therapy (SAT is determined by its effect on tumor shrinkage which is reported to be between 20 and 50%. Approximately 10-30% of GH-secreting pituitary tumors are resistant to SA because of variable or reduced tumoral expression of SSTR2 or SSTR5. In many centres a test dose (TD of octreotide is administered before commencing SAT in order to predict the long term response to treatment. There has been a great interest in identifying factors that predict a good response to SAT. To date, several studies that have examined the relationship between the TD of octreotide and SAT. It is crucial how we define response during the OST. Nadir of GH to 5mU/l or less during the OST has an excelent predictive value for evaluation of long-term response to SAT. On the other hand, if we define response as percentage of change of GH from it’s baseline values, then the OST is not usefull diagnostic test.

  8. Tesofensine induces appetite suppression and weight loss with reversal of low forebrain dopamine levels in the diet-induced obese rat

    DEFF Research Database (Denmark)

    Hansen, Henrik H; Jensen, Majbrit M; Overgaard, Agnete

    2013-01-01

    Tesofensine is a triple monoamine reuptake inhibitor which inhibits noradrenaline, 5-HT and dopamine reuptake. Tesofensine is currently in clinical development for the treatment of obesity, however, the pharmacological basis for its strong and sustained effects in obesity management is not clarif......, tesofensine produces weight loss together with reversal of lowered forebrain dopamine levels in DIO rats, suggesting that tesofensine's anti-obesity effects, at least in part, are associated with positive modulation of central dopaminergic activity....... is not clarified. Tesofensine effectively induces appetite suppression in the diet-induced obese (DIO) rat partially being ascribed to an indirect stimulation of central dopamine receptor function subsequent to blocked dopamine transporter activity. This is interesting, as obese patients have reduced central...... dopaminergic activity thought to provide a drive for compensatory overeating, but whether treatment with an uptake inhibitor counteracts these changes or not has not been investigated. Tesofensine treatment (2.0mg/kg/day for 14days) caused a pronounced anorexigenic and weight-reducing response in DIO rats...

  9. Development and Predictive Value of Early Vocalizations in Very-Low-Birth-Weight Children: A Longitudinal Study

    Science.gov (United States)

    Stolt, Suvi; Lehtonen, Liisa; Haataja, Leena; Lapinleimu, Helena

    2012-01-01

    The aim of the present study was to analyze early vocalization development, the predictive value of this development in terms of later language skills, and possible gender difference in early vocalization development in a selected cohort of 32 very-low-birth-weight (VLBW) children and 35 full-term controls. The data on early vocalization…

  10. Location of Food Stores Near Schools Does Not Predict the Weight Status of Maine High School Students

    Science.gov (United States)

    Harris, David E.; Blum, Janet Whatley; Bampton, Matthew; O'Brien, Liam M.; Beaudoin, Christina M.; Polacsek, Michele; O'Rourke, Karen A.

    2011-01-01

    Objective: To examine the relationship between stores selling calorie-dense food near schools and student obesity risk, with the hypothesis that high availability predicts increased risk. Methods: Mail surveys determined height, weight, and calorie-dense food consumption for 552 students at 11 Maine high schools. Driving distance from all food…

  11. Location of Food Stores Near Schools Does Not Predict the Weight Status of Maine High School Students

    Science.gov (United States)

    Harris, David E.; Blum, Janet Whatley; Bampton, Matthew; O'Brien, Liam M.; Beaudoin, Christina M.; Polacsek, Michele; O'Rourke, Karen A.

    2011-01-01

    Objective: To examine the relationship between stores selling calorie-dense food near schools and student obesity risk, with the hypothesis that high availability predicts increased risk. Methods: Mail surveys determined height, weight, and calorie-dense food consumption for 552 students at 11 Maine high schools. Driving distance from all food…

  12. CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI

    Directory of Open Access Journals (Sweden)

    Matthew S. Brown

    2009-11-01

    Full Text Available The goal of this study was to develop a computer-aided therapeutic response (CADrx system for early prediction of drug treatment response for glioblastoma multiforme (GBM brain tumors with diffusion weighted (DW MR images. In conventional Macdonald assessment, tumor response is assessed nine weeks or more post-treatment. However, we will investigate the ability of DW-MRI to assess response earlier, at five weeks post treatment. The apparent diffusion coefficient (ADC map, calculated from DW images, has been shown to reveal changes in the tumor’s microenvironment preceding morphologic tumor changes. ADC values in treated brain tumors could theoretically both increase due to the cell kill (and thus reduced cell density and decrease due to inhibition of edema. In this study, we investigated the effectiveness of features that quantify changes from pre- and post-treatment tumor ADC histograms to detect treatment response. There are three parts to this study: first, tumor regions were segmented on T1w contrast enhanced images by Otsu’s thresholding method, and mapped from T1w images onto ADC images by a 3D region of interest (ROI mapping tool using DICOM header information; second, ADC histograms of the tumor region were extracted from both pre- and five weeks post-treatment scans, and fitted by a two-component Gaussian mixture model (GMM. The GMM features as well as standard histogram-based features were extracted. Finally, supervised machine learning techniques were applied for classification of responders or non-responders. The approach was evaluated with a dataset of 85 patients with GBM under chemotherapy, in which 39 responded and 46 did not, based on tumor volume reduction. We compared adaBoost, random forest and support vector machine classification algorithms, using ten-fold cross validation, resulting in the best accuracy of 69.41% and the corresponding area under the curve (Az of 0.70.

  13. Post-Traumatic Stress Disorder Predicts Future Weight Change in the Millennium Cohort Study

    Science.gov (United States)

    2015-04-01

    weight changes in individuals with PTSD: (1) sleep deprivation caused by PTSD, as shorter sleep duration has been linked to higher obesity prevalence...provider with PTSD was also assessed at time 0. Behavioral factors that may be associated with weight change ( sleep , binge eating, and alcohol and tobacco...age, smoking status, previous mental health conditions, hours of sleep , or depression modified the rela tionship between PTSD status and weight

  14. Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure.

    Science.gov (United States)

    Correa, John B; Apolzan, John W; Shepard, Desti N; Heil, Daniel P; Rood, Jennifer C; Martin, Corby K

    2016-07-01

    Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland-Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.

  15. Changes in Theory-Based Psychological Factors Predict Weight Loss in Women with Class III Obesity Initiating Supported Exercise

    Science.gov (United States)

    Annesi, James J.; Gorjala, Srinivasa

    2010-01-01

    Background. Psychological factors' effect on weight loss is poorly understood, in general, and specifically in the severely obese. Objective. To examine whether a behavioral model based on tenets of social cognitive and self-efficacy theory will increase understanding of the relationship between exercise and weight loss. Methods. Fifty-one women with severe obesity participated in a 24-week exercise and nutrition information treatment and were measured on changes in psychological factors and exercise attendance. Results. A significant portion of the variance in BMI change (adjusted for number of predictors) was accounted for by the behavioral model (R2adj = 0.23). Entry of exercise session attendance only marginally improved the prediction to 0.27. Only 19% of the weight lost was directly attributable to caloric expenditure from exercise. Conclusions. Findings suggest that participation in an exercise program affects weight loss through psychological pathways and, thus, may be important in the behavioral treatment of severe obesity. PMID:20700411

  16. Changes in Theory-Based Psychological Factors Predict Weight Loss in Women with Class III Obesity Initiating Supported Exercise

    Directory of Open Access Journals (Sweden)

    James J. Annesi

    2010-01-01

    Full Text Available Background. Psychological factors' effect on weight loss is poorly understood, in general, and specifically in the severely obese. Objective. To examine whether a behavioral model based on tenets of social cognitive and self-efficacy theory will increase understanding of the relationship between exercise and weight loss. Methods. Fifty-one women with severe obesity participated in a 24-week exercise and nutrition information treatment and were measured on changes in psychological factors and exercise attendance. Results. A significant portion of the variance in BMI change (adjusted for number of predictors was accounted for by the behavioral model (2adj=0.23. Entry of exercise session attendance only marginally improved the prediction to 0.27. Only 19% of the weight lost was directly attributable to caloric expenditure from exercise. Conclusions. Findings suggest that participation in an exercise program affects weight loss through psychological pathways and, thus, may be important in the behavioral treatment of severe obesity.

  17. Mathematical modeling of herpes simplex virus-2 suppression with pritelivir predicts trial outcomes

    Science.gov (United States)

    Schiffer, Joshua T.; Swan, David A.; Magaret, Amalia; Corey, Lawrence; Wald, Anna; Ossig, Joachim; Ruebsamen-Schaeff, Helga; Stoelben, Susanne; Timmler, Burkhard; Zimmermann, Holger; Melhem, Murad R.; Van Wart, Scott A.; Rubino, Christopher M.; Birkmann, Alexander

    2016-01-01

    Pharmacokinetic and pharmacodynamic models estimate the potency of antiviral agents but do not capture viral and immunologic factors that drive the natural dynamics of infection. We designed a mathematical model that synthesizes pharmacokinetics, pharmacodynamics and viral pathogenesis concepts to simulate the activity of pritelivir, a DNA helicase-primase inhibitor that targets herpes simplex virus. Our simulations recapitulate detailed viral kinetic shedding features in five dosage arms of a phase 2 clinical trial. We identify that in vitro estimates of EC50 are lower than in vivo values for the drug. Nevertheless, pritelivir potently decreases shedding at appropriate doses based on its mode of action and long half-life. While pritelivir directly inhibits replication in epithelial cells, our model indicates that pritelivir also indirectly limits downstream viral spread from neurons to genital keratinocytes, within genital ulcers, and from ulcer to new mucosal sites of infection. We validate our model based on its ability to predict outcomes in a subsequent trial with a higher dose. The model can therefore be employed to optimize dose selection in clinical practice. PMID:26843190

  18. Increased Flap Weight and Decreased Perforator Number Predict Fat Necrosis in DIEP Breast Reconstruction

    Directory of Open Access Journals (Sweden)

    Carolyn L. Mulvey, BS

    2013-05-01

    Conclusions: Flaps with increasing weight have increased risk of fat necrosis. These data suggest that inclusion of more than 1 perforator may decrease odds of fat necrosis in large flaps. Perforator flap breast reconstruction can be performed safely; however, considerations concerning race, body mass index, staging with tissue expanders, perforator number, and flap weight may optimize outcomes.

  19. Radiotherapy on the neck nodes predicts severe weight loss in patients with early stage laryngeal cancer

    NARCIS (Netherlands)

    Langius, Jacqueline A. E.; Doornaert, Patricia; Spreeuwenberg, Marieke D.; Langendijk, Johannes A.; Leemans, C. Rene; van Bokhorst-de van der Schueren, Marian A. E.

    2010-01-01

    Background and purpose: Although patients with early stage (T1/T2) laryngeal cancer (LC) are thought to have a low incidence of malnutrition, severe weight loss is observed in a subgroup of these patients during radiotherapy (RI). The objective of this study was to evaluate weight loss and nutrition

  20. Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index

    DEFF Research Database (Denmark)

    Wang, Ping; Holst, Claus; Andersen, Malene R;

    2011-01-01

    Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.......Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance....

  1. Gaussian-weighted RMSD superposition of proteins: a structural comparison for flexible proteins and predicted protein structures.

    Science.gov (United States)

    Damm, Kelly L; Carlson, Heather A

    2006-06-15

    Many proteins contain flexible structures such as loops and hinged domains. A simple root mean square deviation (RMSD) alignment of two different conformations of the same protein can be skewed by the difference between the mobile regions. To overcome this problem, we have developed a novel method to overlay two protein conformations by their atomic coordinates using a Gaussian-weighted RMSD (wRMSD) fit. The algorithm is based on the Kabsch least-squares method and determines an optimal transformation between two molecules by calculating the minimal weighted deviation between the two coordinate sets. Unlike other techniques that choose subsets of residues to overlay, all atoms are included in the wRMSD overlay. Atoms that barely move between the two conformations will have a greater weighting than those that have a large displacement. Our superposition tool has produced successful alignments when applied to proteins for which two conformations are known. The transformation calculation is heavily weighted by the coordinates of the static region of the two conformations, highlighting the range of flexibility in the overlaid structures. Lastly, we show how wRMSD fits can be used to evaluate predicted protein structures. Comparing a predicted fold to its experimentally determined target structure is another case of comparing two protein conformations of the same sequence, and the degree of alignment directly reflects the quality of the prediction.

  2. Superstition predicts favorable weight change in an open-placebo trial: a prospective study.

    Science.gov (United States)

    Rekhviashvili, Nino; Gupta, Sumati

    2015-09-01

    Given the difficulty of losing weight via adhering to healthy lifestyle choices, this study sought to understand how a placebo may elicit favorable weight change. Specifically, we examined if superstition may be related to increased responsiveness to an open-placebo. In this pilot study of 25 undergraduate participants, it was hypothesized that individuals with higher levels of superstition may be more responsive to a 3-week open-placebo weight change trial. Participants were given once-daily saltine crackers to use as open-placebos for weight change in their preferred direction (gain or loss). The weight of each participant was measured before and after the 3-week open-placebo period. A Pearson's r correlation showed a significant positive relationship between superstition and placebo responsiveness, determined by weight gain or loss in the preferred direction, r (25) = 0.493, p < 0.05. We hope these preliminary results engender future research on open-placebo uses for weight management.

  3. A core-monitoring based methodology for predictions of graphite weight loss in AGR moderator bricks

    Energy Technology Data Exchange (ETDEWEB)

    McNally, K., E-mail: kevin.mcnally@hsl.gsi.gov.uk [Health and Safety Laboratory, Harpur Hill, Buxton, Derbyshire SK17 9JN (United Kingdom); Warren, N. [Health and Safety Laboratory, Harpur Hill, Buxton, Derbyshire SK17 9JN (United Kingdom); Fahad, M.; Hall, G.; Marsden, B.J. [Nuclear Graphite Research Group, School of MACE, University of Manchester, Manchester M13 9PL (United Kingdom)

    2017-04-01

    Highlights: • A statistically-based methodology for estimating graphite density is presented. • Graphite shrinkage is accounted for using a finite element model. • Differences in weight loss forecasts were found when compared to the existing model. - Abstract: Physically based models, resolved using the finite element (FE) method are often used to model changes in dimensions and the associated stress fields of graphite moderator bricks within a reactor. These models require inputs that describe the loading conditions (temperature, fluence and weight loss ‘field variables’), and coded relationships describing the behaviour of graphite under these conditions. The weight loss field variables are calculated using a reactor chemistry/physics code FEAT DIFFUSE. In this work the authors consider an alternative data source of weight loss: that from a longitudinal dataset of density measurements made on small samples trepanned from operating reactors during statutory outages. A nonlinear mixed-effect model is presented for modelling the age and depth-related trends in density. A correction that accounts for irradiation-induced dimensional changes (axial and radial shrinkage) is subsequently applied. The authors compare weight loss forecasts made using FEAT DIFFUSE with those based on an alternative statistical model for a layer four moderator brick for the Hinkley Point B, Reactor 3. The authors compare the two approaches for the weight loss distribution through the brick with a particular focus on the interstitial keyway, and for the average (over the volume of the brick) weight loss.

  4. A Bayesian posterior predictive framework for weighting ensemble regional climate models

    Science.gov (United States)

    Fan, Yanan; Olson, Roman; Evans, Jason P.

    2017-06-01

    We present a novel Bayesian statistical approach to computing model weights in climate change projection ensembles in order to create probabilistic projections. The weight of each climate model is obtained by weighting the current day observed data under the posterior distribution admitted under competing climate models. We use a linear model to describe the model output and observations. The approach accounts for uncertainty in model bias, trend and internal variability, including error in the observations used. Our framework is general, requires very little problem-specific input, and works well with default priors. We carry out cross-validation checks that confirm that the method produces the correct coverage.

  5. Parenting style and child-feeding behaviour in predicting children's weight status change in Taiwan

    National Research Council Canada - National Science Library

    Tung, Ho-Jui; Yeh, Ming-Chin

    .... Prior studies find that parents' child-feeding practices are associated with child weight status and the efficacy of specific parental child-feeding practices can be moderated by parenting styles...

  6. Features predicting weight loss in overweight or obese participants in a web-based intervention: randomized trial.

    Science.gov (United States)

    Brindal, Emily; Freyne, Jill; Saunders, Ian; Berkovsky, Shlomo; Smith, Greg; Noakes, Manny

    2012-12-12

    at week 12 (P = .01). The average number of days that each site was used varied significantly (P = .02) and was higher for the supportive site at 5.96 (SD 11.36) and personalized-supportive site at 5.50 (SD 10.35), relative to the information-based site at 3.43 (SD 4.28). In total, 435 participants provided a valid final weight at the 12-week follow-up. Intention-to-treat analyses (using multiple imputations) revealed that there were no statistically significant differences in weight loss between sites (P = .42). On average, participants lost 2.76% (SE 0.32%) of their initial body weight, with 23.7% (SE 3.7%) losing 5% or more of their initial weight. Within supportive conditions, the level of use of the online weight tracker was predictive of weight loss (model estimate = 0.34, P social networking features and personalized meal planning recommendations in a web-based weight loss program did not demonstrate additive effects for user weight loss or retention. These features did, however, increase the average number of days that a user engaged with the system. For users of the supportive websites, greater use of the weight tracker tool was associated with greater weight loss.

  7. The motivation to be sedentary predicts weight change when sedentary behaviors are reduced

    OpenAIRE

    Paluch Rocco A; Cavanaugh Meghan D; Roemmich James N; Epstein Leonard H

    2011-01-01

    Abstract Background Obesity is correlated with a sedentary lifestyle, and the motivation to be active or sedentary is correlated with obesity. The present study tests the hypothesis that the motivation to be active or sedentary is correlated with weight change when children reduce their sedentary behavior. Methods The motivation to be active or sedentary, changes in weight, and accelerometer assessed physical activity were collected for 55 families with overweight/obese children who participa...

  8. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour

    OpenAIRE

    Louisa Ming Yan Chung; Shirley Siu Ming Fong

    2015-01-01

    Weight reduction that corresponds with lifestyle modification is difficult to foster. The theory of planned behaviour has been actively cited in explaining health-related behaviour. This review evaluated the application of the theory of planned behaviour to weight-loss behaviour. Among the three reviewed papers, cross-sectional survey designs and subjective outcome measurements were commonly applied. All of the studies recruited obese female adults as participants, limiting the generalisabili...

  9. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour

    OpenAIRE

    Louisa Ming Yan Chung; Shirley Siu Ming Fong

    2015-01-01

    Weight reduction that corresponds with lifestyle modification is difficult to foster. The theory of planned behaviour has been actively cited in explaining health-related behaviour. This review evaluated the application of the theory of planned behaviour to weight-loss behaviour. Among the three reviewed papers, cross-sectional survey designs and subjective outcome measurements were commonly applied. All of the studies recruited obese female adults as participants, limiting the generalisabili...

  10. Maternal feeding practices predict weight gain and obesogenic eating behaviors in young children: a prospective study

    OpenAIRE

    Rodgers Rachel F; Paxton Susan J; Massey Robin; Campbell Karen J; Wertheim Eleanor H; Skouteris Helen; Gibbons Kay

    2013-01-01

    Abstract Background Maternal feeding practices have been proposed to play an important role in early child weight gain and obesogenic eating behaviors. However, to date longitudinal investigations in young children exploring these relationships have been lacking. The aim of the present study was to explore prospective relationships between maternal feeding practices, child weight gain and obesogenic eating behaviors in 2-year-old children. The competing hypothesis that child eating behaviors ...

  11. Combination of Biorthogonal Wavelet Hybrid Kernel OCSVM with Feature Weighted Approach Based on EVA and GRA in Financial Distress Prediction

    Directory of Open Access Journals (Sweden)

    Chao Huang

    2014-01-01

    Full Text Available Financial distress prediction plays an important role in the survival of companies. In this paper, a novel biorthogonal wavelet hybrid kernel function is constructed by combining linear kernel function with biorthogonal wavelet kernel function. Besides, a new feature weighted approach is presented based on economic value added (EVA and grey relational analysis (GRA. Considering the imbalance between financially distressed companies and normal ones, the feature weighted one-class support vector machine based on biorthogonal wavelet hybrid kernel (BWH-FWOCSVM is further put forward for financial distress prediction. The empirical study with real data from the listed companies on Growth Enterprise Market (GEM in China shows that the proposed approach has good performance.

  12. A Class of Adaptive Importance Sampling Weighted EM Algorithms for Efficient and Robust Posterior and Predictive Simulation

    OpenAIRE

    Hoogerheide, L.F.; Opschoor, A.; Dijk, van, Nico M.

    2012-01-01

    This discussion paper was published in the Journal of Econometrics (2012). Vol. 171(2), 101-120. A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of sequences of importance weighted Expectation Maximization steps in order to efficiently construct a mixture of...

  13. Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

    Directory of Open Access Journals (Sweden)

    C. TURELI BILEN

    2012-12-01

    Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

  14. Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

    Directory of Open Access Journals (Sweden)

    C. TURELI BILEN

    2011-10-01

    Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

  15. Allometric scaling in the dentition of primates and prediction of body weight from tooth size in fossils.

    Science.gov (United States)

    Gingerich, P D; Smith, B H; Rosenberg, K

    1982-05-01

    Tooth size varies exponentially with body weight in primates. Logarithmic transformation of tooth crown area and body weight yields a linear model of slope 0.67 as an isometric (geometric) baseline for study of dental allometry. This model is compared with that predicted by metabolic scaling (slope = 0.75). Tarsius and other insectivores have larger teeth for their body size than generalized primates do and they are not included in this analysis. Among generalized primates, tooth size is highly correlated with body size. Correlations of upper and lower cheek teeth with body size range from 0.90-0.97, depending on tooth position. Central cheek teeth (P44 and M11) have allometric coefficients ranging from 0.57-0.65, falling well below geometric scaling. Anterior and posterior cheek teeth scale at or above metabolic scaling. Considered individually or as a group, upper cheek teeth scale allometrically with lower coefficients than corresponding lower cheek teeth; the reverse is true for incisors. The sum of crown areas for all upper cheek teeth scales significantly below geometric scaling, while the sum of crown areas for all lower cheek teeth approximates geometric scaling. Tooth size can be used to predict the body weight of generalized fossil primates. This is illustrated for Aegyptopithecus and other Eocene, Oligocene, and miocene primates. Regressions based on tooth size in generalized primates yield reasonable estimates of body weight, but much remains to be learned about tooth size and body size scaling in more restricted systematic groups and dietary guilds.

  16. Effectiveness of prediction equations in estimating energy expenditure sample of Brazilian and Spanish women with excess body weight

    Directory of Open Access Journals (Sweden)

    Eliane Lopes Rosado

    2014-03-01

    Full Text Available Objective: To assess the adequacy of predictive equations for estimation of energy expenditure (EE, compared with the EE using indirect calorimetry in a sample of Brazilian and Spanish women with excess body weight Methods: It is a cross-sectional study with 92 obese adult women [26 Brazilian -G1- and 66 Spanish - G2- (aged 20-50]. Weight and height were evaluated during fasting for the calculation of body mass index and predictive equations. EE was evaluated using the open-circuit indirect calorimetry with respiratory hood. Results: In G1 and G2, it was found that the estimates obtained by Harris-Benedict, Shofield, FAO/WHO/ ONU and Henry & Rees did not differ from EE using indirect calorimetry, which presented higher values than the equations proposed by Owen, Mifflin-St Jeor and Oxford. For G1 and G2 the predictive equation closest to the value obtained by the indirect calorimetry was the FAO/WHO/ONU (7.9% and 0.46% underestimation, respectively, followed by Harris-Benedict (8.6% and 1.5% underestimation, respectively. Conclusion: The equations proposed by FAO/WHO/ ONU, Harris-Benedict, Shofield and Henry & Rees were adequate to estimate the EE in a sample of Brazilian and Spanish women with excess body weight. The other equations underestimated the EE.

  17. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour

    Directory of Open Access Journals (Sweden)

    Louisa Ming Yan Chung

    2015-01-01

    Full Text Available Weight reduction that corresponds with lifestyle modification is difficult to foster. The theory of planned behaviour has been actively cited in explaining health-related behaviour. This review evaluated the application of the theory of planned behaviour to weight-loss behaviour. Among the three reviewed papers, cross-sectional survey designs and subjective outcome measurements were commonly applied. All of the studies recruited obese female adults as participants, limiting the generalisability of the studies’ findings. The theory of planned behaviour can be effectively applied in weight-reduction programmes targeting female obese patients. This review confirmed critiques citing the limitations of experimental studies, the subjective measurement of behaviour and short follow-up periods.

  18. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour.

    Science.gov (United States)

    Chung, Louisa Ming Yan; Fong, Shirley Siu Ming

    2015-01-01

    Weight reduction that corresponds with lifestyle modification is difficult to foster. The theory of planned behaviour has been actively cited in explaining health-related behaviour. This review evaluated the application of the theory of planned behaviour to weight-loss behaviour. Among the three reviewed papers, cross-sectional survey designs and subjective outcome measurements were commonly applied. All of the studies recruited obese female adults as participants, limiting the generalisability of the studies' findings. The theory of planned behaviour can be effectively applied in weight-reduction programmes targeting female obese patients. This review confirmed critiques citing the limitations of experimental studies, the subjective measurement of behaviour and short follow-up periods.

  19. Predicting actual weight loss: A review of the determinants according to the theory of planned behaviour

    Directory of Open Access Journals (Sweden)

    Louisa Ming Yan Chung

    2015-01-01

    Full Text Available Weight reduction that corresponds with lifestyle modification is difficult to foster. The theory of planned behaviour has been actively cited in explaining health-related behaviour. This review evaluated the application of the theory of planned behaviour to weight-loss behaviour. Among the three reviewed papers, cross-sectional survey designs and subjective outcome measurements were commonly applied. All of the studies recruited obese female adults as participants, limiting the generalisability of the studies’ findings. The theory of planned behaviour can be effectively applied in weight-reduction programmes targeting female obese patients. This review confirmed critiques citing the limitations of experimental studies, the subjective measurement of behaviour and short follow-up periods.

  20. Increased Flap Weight and Decreased Perforator Number Predict Fat Necrosis in DIEP Breast Reconstruction.

    Science.gov (United States)

    Mulvey, Carolyn L; Cooney, Carisa M; Daily, Francis F; Colantuoni, Elizabeth; Ogbuago, Onyebuchi U; Cooney, Damon S; Rad, Ariel N; Manahan, Michele A; Rosson, Gedge D; Sacks, Justin M

    2013-05-01

    Compromised perfusion in autologous breast reconstruction results in fat necrosis and flap loss. Increased flap weight with fewer perforator vessels may exacerbate imbalances in flap perfusion. We studied deep inferior epigastric perforator (DIEP) and muscle-sparing transverse rectus abdominis myocutaneous (MS-TRAM) flaps to assess this concept. Data from patients who underwent reconstruction with DIEP and/or MS-TRAM flaps between January 1, 2010 and December 31, 2011 (n = 123) were retrospectively reviewed. Patient demographics, comorbidities, intraoperative parameters, and postoperative outcomes were collected, including flap fat necrosis and donor/recipient site complications. Logistic regression analysis was used to examine effects of flap weight and perforator number on breast flap fat necrosis. One hundred twenty-three patients who underwent 179 total flap reconstructions (166 DIEP, 13 MS-TRAM) were included. Mean flap weight was 658 ± 289 g; 132 (73.7%) were single perforator flaps. Thirteen flaps (7.5%) developed fat necrosis. African American patients had increased odds of fat necrosis (odds ratio, 11.58; P fat necrosis significantly increased with flap weight (odds ratio, 1.5 per 100 g increase; P fat necrosis, compared to 14.3% of large multiple perforator flaps. Flaps with increasing weight have increased risk of fat necrosis. These data suggest that inclusion of more than 1 perforator may decrease odds of fat necrosis in large flaps. Perforator flap breast reconstruction can be performed safely; however, considerations concerning race, body mass index, staging with tissue expanders, perforator number, and flap weight may optimize outcomes.

  1. Parenting style and child-feeding behaviour in predicting children's weight status change in Taiwan.

    Science.gov (United States)

    Tung, Ho-Jui; Yeh, Ming-Chin

    2014-05-01

    The prevalence of overweight and obesity among children is on the rise worldwide. Prior studies find that parents' child-feeding practices are associated with child weight status and the efficacy of specific parental child-feeding practices can be moderated by parenting styles. In the current longitudinal study, we examined the associations between child-feeding practices and weight status changes over 1 year among a sample of school-aged children in Taiwan. In autumn 2008, a child-feeding questionnaire and parenting-style questionnaire were administered to parents of the second and fourth graders in an elementary school in Taiwan. The weight and height of the students were measured by a trained school nurse in 2008 and again in 2009. An elementary school in central Taiwan. A total of 465 parent-child pairs were included in the analysis. Using a gender- and age-adjusted BMI classification scheme issued by the Taiwan Department of Health, 29·2 % of the students were considered overweight at the 2009 measurement. Controlling for 2008 weight status revealed moderating effects of parenting style on the relationship between child-feeding practices and child weight status. Both authoritative and authoritarian mothers might monitor their children's dietary intake; however, the effectiveness of this practice was better, in terms of weight status control, among the authoritative mothers. Findings suggest that parenting styles have a moderating effect on specific parental child-feeding practices. Parenting styles and parent's feeding practices could be an important focus for future public health interventions addressing the rising childhood obesity epidemic.

  2. Assessment of clinical methods and ultrasound in predicting fetal birth weight in term pregnant women

    Directory of Open Access Journals (Sweden)

    Ruby Yadav

    2016-08-01

    Conclusions: Clinical estimation of birth weight clearly has a role in management of labour and delivery in a term pregnancy. Clinical estimation especially by SFH and times;AG method is as accurate as routine USG estimated in average birth weight. SFH and times; AG clinical formula can be of great value in developing countries like ours, where ultrasound is not available at many health care centers especially in a rural area. [Int J Reprod Contracept Obstet Gynecol 2016; 5(8.000: 2775-2779

  3. A Modified Obesity Proneness Model Predicts Adolescent Weight Concerns and Inability to Self-Regulate Eating

    Science.gov (United States)

    Nickelson, Jen; Bryant, Carol A.; McDermott, Robert J.; Buhi, Eric R.; DeBate, Rita D.

    2012-01-01

    Background: The prevalence of obesity among high school students has risen in recent decades. Many high school students report trying to lose weight and some engage in disordered eating to do so. The obesity proneness model suggests that parents may influence their offspring's development of disordered eating. This study examined the viability of…

  4. Diffusion Weighted MRI as a predictive tool for effect of radiotherapy in locally advanced cervical cancer

    DEFF Research Database (Denmark)

    Haack, Søren; Tanderup, Kari; Fokdal, Lars

    Diffusion weighted MRI has shown great potential in diagnostic cancer imaging and may also have value for monitoring tumor response during radiotherapy. Patients with advanced cervical cancer are treated with external beam radiotherapy followed by brachytherapy. This study evaluates the value of ...

  5. Obesity-related beliefs predict weight loss after an 8-week low-calorie diet

    NARCIS (Netherlands)

    Wamsteker, E.W.; Geenen, R.; Iestra, J.A.; Larsen, J.K.; Zelissen, P.M.J.; Staveren, van W.A.

    2005-01-01

    The objective of this study was to examine whether beliefs about the cause, consequences, time line, and control of obesity are predictors of the amount of weight loss after an 8-week, low-calorie diet consisting of meal replacements. Forty-eight women and 18 men, mean age=45.9 (range=23 to 73

  6. Lower Birth Weight and Diet in Taiwanese Girls More than Boys Predicts Learning Impediments

    Science.gov (United States)

    Lee, Meei-Shyuan; Huang, Lin-Yuan; Chang, Yu-Hung; Huang, Susana Tzy-Ying; Yu, Hsiao-Li; Wahlqvist, Mark L.

    2012-01-01

    Possible links between lower birth weight, childhood diet, and learning in Taiwan are evaluated. The population representative Elementary School Children's Nutrition and Health Survey in Taiwan 2001-2002 and the national birth registry were used to examine school and social performance using the modified Scale for Assessing Emotional Disturbance…

  7. A Modified Obesity Proneness Model Predicts Adolescent Weight Concerns and Inability to Self-Regulate Eating

    Science.gov (United States)

    Nickelson, Jen; Bryant, Carol A.; McDermott, Robert J.; Buhi, Eric R.; DeBate, Rita D.

    2012-01-01

    Background: The prevalence of obesity among high school students has risen in recent decades. Many high school students report trying to lose weight and some engage in disordered eating to do so. The obesity proneness model suggests that parents may influence their offspring's development of disordered eating. This study examined the viability of…

  8. "Thinspiration" vs. "fear of fat". Using prototypes to predict frequent weight-loss dieting in females

    NARCIS (Netherlands)

    Dalley, Simon E.; Buunk, Abraham P.

    2009-01-01

    This study examined whether frequent weight-loss dieting in females is predominantly a manifestation of being inspired to approach the cultural aesthetic thinness standard, or predominantly of a fear to avoid becoming over-fat. Female volunteers completed questionnaires concerning their perceptions

  9. Lower Birth Weight and Diet in Taiwanese Girls More than Boys Predicts Learning Impediments

    Science.gov (United States)

    Lee, Meei-Shyuan; Huang, Lin-Yuan; Chang, Yu-Hung; Huang, Susana Tzy-Ying; Yu, Hsiao-Li; Wahlqvist, Mark L.

    2012-01-01

    Possible links between lower birth weight, childhood diet, and learning in Taiwan are evaluated. The population representative Elementary School Children's Nutrition and Health Survey in Taiwan 2001-2002 and the national birth registry were used to examine school and social performance using the modified Scale for Assessing Emotional Disturbance…

  10. An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speech

    NARCIS (Netherlands)

    Taal, C.H.; Henriks, R.C.; Heusdens, R.; Jensen, J.

    2011-01-01

    Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for in

  11. Obesity-related beliefs predict weight loss after an 8-week low-calorie diet

    NARCIS (Netherlands)

    Wamsteker, E.W.; Geenen, R.; Iestra, J.A.; Larsen, J.K.; Zelissen, P.M.J.; Staveren, van W.A.

    2005-01-01

    The objective of this study was to examine whether beliefs about the cause, consequences, time line, and control of obesity are predictors of the amount of weight loss after an 8-week, low-calorie diet consisting of meal replacements. Forty-eight women and 18 men, mean age=45.9 (range=23 to 73 years

  12. Obesity-related beliefs predict weight loss after an 8-week low-calorie diet

    NARCIS (Netherlands)

    Wamsteker, E.W.; Geenen, R.; Iestra, J.A.; Larsen, J.K.; Zelissen, P.M.J.; Staveren, van W.A.

    2005-01-01

    The objective of this study was to examine whether beliefs about the cause, consequences, time line, and control of obesity are predictors of the amount of weight loss after an 8-week, low-calorie diet consisting of meal replacements. Forty-eight women and 18 men, mean age=45.9 (range=23 to 73 years

  13. "Thinspiration" vs. "fear of fat". Using prototypes to predict frequent weight-loss dieting in females

    NARCIS (Netherlands)

    Dalley, Simon E.; Buunk, Abraham P.

    This study examined whether frequent weight-loss dieting in females is predominantly a manifestation of being inspired to approach the cultural aesthetic thinness standard, or predominantly of a fear to avoid becoming over-fat. Female volunteers completed questionnaires concerning their perceptions

  14. Diffusion Weighted MRI as a predictive tool for effect of radiotherapy in locally advanced cervical cancer

    DEFF Research Database (Denmark)

    Haack, Søren; Tanderup, Kari; Fokdal, Lars;

    Diffusion weighted MRI has shown great potential in diagnostic cancer imaging and may also have value for monitoring tumor response during radiotherapy. Patients with advanced cervical cancer are treated with external beam radiotherapy followed by brachytherapy. This study evaluates the value of ...

  15. Dealing with multicollinearity in predicting egg components from egg weight and egg dimension

    Directory of Open Access Journals (Sweden)

    Tarek M. Shafey

    2014-10-01

    Full Text Available Measurements of 174 eggs from meat-type breeder flock (Ross at 36 weeks of age were used to study the problem of multicollinearity (MC instability in the estimation of egg components of yolk weight (YKWT, albumen weight (ALBWT and eggshell weight (SHWT. Egg weight (EGWT, egg shape index (ESI=egg width (EGWD*100/egg length (EGL and their interaction (EGWTESI were used in the context of un-centred vs centred data and principal components regression (PCR models. The pairwise phenotypic correlations, variance inflation factor (VIF, eigenvalues, condition index (CI, and variance proportions were examined. Egg weight had positive correlations with EGWD and EGL (r=0.56 and 0.50, respectively; P<0.0001 and EGL had a negative correlation with ESI (r=-0.79; P<0.0001. The highest correlation was observed between EGWT and ALBWT (r=0.94; P<0.0001, while the lowest was between EGWD and SHWT (r=0.33; P<0.0001. Multicollinearity problems were found in EGWT, ESI and their interaction as shown by VIF (>10, eigenvalues (near zero, CI (>30 and high corresponding proportions of variance of EGWT, ESI and EGWTESI with respect to EGWTESI. Results from this study suggest that mean centring and PCR were appropriate to overcome the MC instability in the estimation of egg components from EGWT and ESI. These methods improved the meaning of intercept values and produced much lower standard error values for regression coefficients than those from un-centred data.

  16. The FAT Score, a Fibrosis Score of Adipose Tissue: Predicting Weight-Loss Outcome After Gastric Bypass.

    Science.gov (United States)

    Bel Lassen, Pierre; Charlotte, Frederic; Liu, Yuejun; Bedossa, Pierre; Le Naour, Gilles; Tordjman, Joan; Poitou, Christine; Bouillot, Jean-Luc; Genser, Laurent; Zucker, Jean-Daniel; Sokolovska, Nataliya; Aron-Wisnewsky, Judith; Clément, Karine

    2017-07-01

    Bariatric surgery (BS) induces major and sustainable weight loss in many patients. Factors predicting poor weight-loss response (PR) need to be identified to improve patient care. Quantification of subcutaneous adipose tissue (scAT) fibrosis is negatively associated with post-BS weight loss, but whether it could constitute a predictor applicable in clinical routine remains to be demonstrated. To create a semiquantitative score evaluating scAT fibrosis and test its predictive value on weight-loss response after Roux-en-Y gastric bypass (RYGB). We created a fibrosis score of adipose tissue (FAT score) integrating perilobular and pericellular fibrosis. Using this score, we characterized 183 perioperative scAT biopsy specimens from severely obese patients who underwent RYGB (n = 85 from a training cohort; n = 98 from a confirmation cohort). PR to RYGB was defined as loss at 1 year (lowest tertile). The link between FAT score and PR was tested in univariate and multivariate models. FAT score was directly associated with increasing scAT fibrosis measured by a standard quantification method (P for trend FAT score interobserver agreement was good (κ = 0.76). FAT score ≥2 was significantly associated with PR. The association remained significant after adjustment for age, diabetes status, hypertension, percent fat mass, and interleukin-6 level (adjusted odds ratio, 3.6; 95% confidence interval, 1.8 to 7.2; P = 0.003). The FAT score is a new, simple, semiquantitative evaluation of human scAT fibrosis that may help identify patients with a potential limited weight-loss response to RYGB.

  17. DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival

    OpenAIRE

    Jinfeng Xiao; Sheng Wang; Jingbo Shang; Henry Lin; Doris Xin; Xiang Ren; Jiawei Han; Jian Peng

    2016-01-01

    Reliable predictions on the risk and survival time of prostate cancer patients based on their clinical records can help guide their treatment and provide hints about the disease mechanism. The Cox regression is currently a commonly accepted approach for such tasks in clinical applications. More complex methods, like ensemble approaches, have the potential of reaching better prediction accuracy at the cost of increased training difficulty and worse result interpretability. Better performance o...

  18. Prediction of Intelligibility of Noisy and Time-Frequency Weighted Speech based on Mutual Information Between Amplitude Envelopes

    DEFF Research Database (Denmark)

    Jensen, Jesper; Taal, C.H.

    2013-01-01

    of Shannon information the critical-band amplitude envelopes of the noisy/processed signal convey about the corresponding clean signal envelopes. The resulting intelligibility predictor turns out to be a simple function of the correlation between noisy/processed and clean amplitude envelopes. The proposed......This paper deals with the problem of predicting the average intelligibility of noisy and potentially processed speech signals, as observed by a group of normal hearing listeners. We propose a prediction model based on the hypothesis that intelligibility is monotonically related to the the amount...... predictor performs well (ρ>0.95) in predicting the intelligibility of speech signals contaminated by additive noise and potentially non-linearly processed using time-frequency weighting....

  19. Microstructural changes in ischemic cortical gray matter predicted by a model of diffusion-weighted MRI

    DEFF Research Database (Denmark)

    Vestergaard-Poulsen, Peter; Hansen, Brian; Østergaard, Leif

    2007-01-01

    PURPOSE: To understand the diffusion attenuated MR signal from normal and ischemic brain tissue in order to extract structural and physiological information using mathematical modeling, taking into account the transverse relaxation rates in gray matter. MATERIALS AND METHODS: We fit our diffusion...... model to the diffusion-weighted MR signal obtained from cortical gray matter in healthy subjects. Our model includes variable volume fractions, intracellular restriction effects, and exchange between compartments in addition to individual diffusion coefficients and transverse relaxation rates for each...

  20. ANP system activity predicts variability of fat mass reduction and insulin sensitivity during weight loss.

    Science.gov (United States)

    Brachs, Maria; Wiegand, Susanna; Leupelt, Verena; Ernert, Andrea; Kintscher, Ulrich; Jumpertz von Schwarzenberg, Reiner; Decker, Anne-Marie; Bobbert, Thomas; Hübner, Norbert; Chen, Wei; Krude, Heiko; Spranger, Joachim; Mai, Knut

    2016-06-01

    In weight loss trials, a considerable inter-individual variability in reduction of fat mass and changes of insulin resistance is observed, even under standardized study conditions. The underlying mechanisms are not well understood. Given the metabolic properties of the atrial natriuretic peptide (ANP) system, we hypothesized that ANP signaling might be involved in this phenomenon by changes of ANP secretion or receptor balance. Therefore, we investigated the impact of systemic, adipose and myocellular ANP system on metabolic and anthropometric improvements during weight loss. We comprehensively investigated 143 subjects (31 male, 112 female) before and after a 3 month-standardized weight loss program. The time course of BMI, fat mass, insulin sensitivity, circulating mid-regional proANP (MR-proANP) levels as well as adipose and myocellular natriuretic receptor A (NPR-A) and C (NPR-C) mRNA expression were investigated. BMI decreased by -12.6±3.7%. This was accompanied by a remarkable decrease of adipose NPR-C expression (1005.0±488.4 vs. 556.7±465.6; ploss induced changes in NPR-C (ΔNPR-C) was linked to relative reduction of total fat mass (ΔFM) (r=0.281; ploss induced ΔNPR-C independently explained 22.7% of ΔFM. In addition, ΔMR-proANP was independently associated with improvement of insulin sensitivity (standardized ß=0.246, ploss induced fat mass reduction. Our comprehensive human data support that peripheral ANP signalling is involved in control of adipose tissue plasticity and function during weight loss. (Funded by the Deutsche Forschungsgemeinschaft (KFO281/2), the Berlin Institute of Health (BIH) and the German Centre for Cardiovascular Research (DZHK/BMBF); ClinicalTrials.gov number: NCT00850629). Copyright © 2016 Elsevier Inc. All rights reserved.

  1. Bayesian Prediction Model Based on Attribute Weighting and Kernel Density Estimations

    Directory of Open Access Journals (Sweden)

    Zhong-Liang Xiang

    2015-01-01

    Full Text Available Although naïve Bayes learner has been proven to show reasonable performance in machine learning, it often suffers from a few problems with handling real world data. First problem is conditional independence; the second problem is the usage of frequency estimator. Therefore, we have proposed methods to solve these two problems revolving around naïve Bayes algorithms. By using an attribute weighting method, we have been able to handle conditional independence assumption issue, whereas, for the case of the frequency estimators, we have found a way to weaken the negative effects through our proposed smooth kernel method. In this paper, we have proposed a compact Bayes model, in which a smooth kernel augments weights on likelihood estimation. We have also chosen an attribute weighting method which employs mutual information metric to cooperate with the framework. Experiments have been conducted on UCI benchmark datasets and the accuracy of our proposed learner has been compared with that of standard naïve Bayes. The experimental results have demonstrated the effectiveness and efficiency of our proposed learning algorithm.

  2. Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites

    Directory of Open Access Journals (Sweden)

    Halil Ibrahim Kurt

    2015-01-01

    Full Text Available In the current study, the effect of applied load, sliding speed, and type and weight percentages of reinforcements on the wear properties of ultrahigh molecular weight polyethylene (UHMWPE was theoretically studied. The extensive experimental results were taken from literature and modeled with artificial neural network (ANN. The feed forward (FF back-propagation (BP neural network (NN was used to predict the dry sliding wear behavior of UHMWPE composites. Eleven input vectors were used in the construction of the proposed NN. The carbon nanotube (CNT, carbon fiber (CF, graphene oxide (GO, and wollastonite additives are the main input parameters and the volume loss is the output parameter for the developed NN. It was observed that the sliding speed and applied load have a stronger effect on the volume loss of UHMWPE composites in comparison to other input parameters. The proper condition for achieving the desired wear behaviors of UHMWPE by tailoring the weight percentage and reinforcement particle size and composition was presented. The proposed NN model and the derived explicit form of mathematical formulation show good agreement with test results and can be used to predict the volume loss of UHMWPE composites.

  3. Predicting psychological needs and well-being of individuals engaging in weight management: the role of important others.

    Science.gov (United States)

    Ng, Johan Y Y; Ntoumanis, Nikos; Thøgersen-Ntoumani, Cecilie; Stott, Kyle; Hindle, Linda

    2013-11-01

    Using the self-determination theory (SDT) framework, we examined how significant others might support or thwart psychological needs of people with weight management goals, and in turn might affect their psychological well-being and weight control behaviors. Longitudinal design with three sets of questionnaires administered over a 6-month period. One hundred and fifty-six eligible participants (age = 31.01 ± 13.21 years) were asked to complete questionnaires of SDT-based constructs, weight management behaviors, and psychological well-being. Hypotheses were tested using Bayesian path analysis. Perceived autonomy support from significant others was related to psychological need satisfaction, while controlling behaviors by others were associated with need thwarting. In turn, need satisfaction was associated with some beneficial outcomes such as life satisfaction, and need thwarting was related to some maladaptive outcomes such as higher levels of depressive symptoms and increases in unhealthy diet behaviors. Our findings indicate that the quality of interactions between individuals engaged in weight management and their significant others matters in terms of predicting the psychological needs and well-being of the former. © 2013 The International Association of Applied Psychology.

  4. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line

    Directory of Open Access Journals (Sweden)

    Xiaomin Xu

    2015-01-01

    Full Text Available Not only can the icing coat on transmission line cause the electrical fault of gap discharge and icing flashover but also it will lead to the mechanical failure of tower, conductor, insulators, and others. It will bring great harm to the people’s daily life and work. Thus, accurate prediction of ice thickness has important significance for power department to control the ice disaster effectively. Based on the analysis of standard support vector machine, this paper presents a weighted support vector machine regression model based on the similarity (WSVR. According to the different importance of samples, this paper introduces the weighted support vector machine and optimizes its parameters by hybrid swarm intelligence optimization algorithm with the particle swarm and ant colony (PSO-ACO, which improves the generalization ability of the model. In the case study, the actual data of ice thickness and climate in a certain area of Hunan province have been used to predict the icing thickness of the area, which verifies the validity and applicability of this proposed method. The predicted results show that the intelligent model proposed in this paper has higher precision and stronger generalization ability.

  5. Small for Gestational Age and Higher Birth Weight Predict Childhood Obesity in Preterm Infants

    Science.gov (United States)

    Gaskins, Ronnesia B.; LaGasse, Linda L.; Liu, Jing; Shankaran, Seetha; Lester, Barry M.; Bada, Henrietta S.; Bauer, Charles R.; Das, Abhik; Higgins, Rosemary D.; Roberts, Mary

    2010-01-01

    We sought to determine the association between small for gestational age (SGA), birth weight, and childhood obesity within preterm polysubstance exposed children. We sampled 312 preterm children with 11-year body mass index (BMI; age- and sex-specific) data from the Maternal Lifestyle Study (51% girls, 21.5% SGA, 46% prenatal cocaine, and 55% tobacco exposed). Multinomial regression analyzed the association between 11-year obesity (OBE) and overweight (OW) and SGA, birth weight, first-year growth velocity, diet, and physical activity variables. Overall, 24% were OBE (BMI for age ≥95th percentile) and 16.7% were OW (BMI ≥85th and <95th percentiles). In adjusted analyses, SGA was associated with OW (odds ratio [OR]=3.4, confidence interval [CI] 1.5 to 7.5). Higher birth weight was associated with OBE (OR = 1.8, CI 1.3 to 2.4) and OW (OR=1.4, CI 1.1 to 2.0). Growth velocity was associated with OBE (OR=2.7, CI 1.8 to 4.0) and OW (OR=1.6, CI 1.1 to 2.4). Low exercise was associated with OBE (OR=2.1, CI 1.0 to 4.4) and OW (OR=2.1, CI 1.0 to 4.5). There was no effect of substance exposure on obesity outcomes. Many (41%) of these high-risk preterm 11-year-olds were obese/overweight. Multiple growth-related processes may be involved in obesity risk for preterm children, including fetal programming as indicated by the SGA effect. PMID:20408111

  6. Mastectomy Weight and Tissue Expander Volume Predict Necrosis and Increased Costs Associated with Breast Reconstruction

    Science.gov (United States)

    Yalanis, Georgia C.; Nag, Shayoni; Georgek, Jakob R.; Cooney, Carisa M.; Manahan, Michele A.; Rosson, Gedge D.

    2015-01-01

    Introduction: Impaired vascular perfusion in tissue expander (TE) breast reconstruction leads to mastectomy skin necrosis. We investigated factors and costs associated with skin necrosis in postmastectomy breast reconstruction. Methods: Retrospective review of 169 women with immediate TE placement following mastectomy between May 1, 2009 and May 31, 2013 was performed. Patient demographics, comorbidities, intraoperative, and postoperative outcomes were collected. Logistic regression analysis on individual variables was performed to determine the effects of tissue expander fill volume and mastectomy specimen weight on skin necrosis. Billing data was obtained to determine the financial burden associated with necrosis. Results: This study included 253 breast reconstructions with immediate TE placement from 169 women. Skin necrosis occurred in 20 flaps for 15 patients (8.9%). Patients with hypertension had 8 times higher odds of skin necrosis [odd ratio (OR), 8.10, P 300 cm3 had 10 times higher odds of skin necrosis (OR, 10.66, P =0.010). Volumes >400 cm3 had 15 times higher odds of skin necrosis (OR, 15.56, P = 0.002). Mastectomy specimen weight was correlated with skin necrosis. Specimens >500 g had 10 times higher odds of necrosis and specimens >1000 g had 18 times higher odds of necrosis (OR, 10.03 and OR, 18.43; P =0.003 and P Mastectomy skin necrosis was associated with a 50% increased inpatient charge. Conclusion: Mastectomy flap necrosis is associated with HTN, larger TE volumes and mastectomy specimen weights, resulting in increased inpatient charges. Conservative TE volumes should be considered for patients with hypertension and larger mastectomy specimens. PMID:26301139

  7. Validity of predictive equations for resting energy expenditure in Belgian normal weight to morbid obese women

    NARCIS (Netherlands)

    Weijs, J.M. Peter; Vansant, A.A.M. Greet

    2010-01-01

    Background & aims: Individual energy requirements of overweight and obese adults can often not be measured by indirect calorimetry, mainly due to the time-consuming procedure and the high costs. To analyze which resting energy expenditure(REE)predictive equation is the best alternative for indirect

  8. Mutual dependence of the octave-band weights in predicting speech intelligibility

    NARCIS (Netherlands)

    Steeneken, H.J.M.; Houtgast, T.

    1999-01-01

    Current objective measures for predicting the intelligibility of speech by an index assume that this can be obtained by simple addition of the contributions of individual frequency bands. The Articulation Index (AI, and the related Speech Intelligibility Index), and the Speech Transmission Index (ST

  9. Mutual dependence of the octave-band weights in predicting speech intelligibility

    NARCIS (Netherlands)

    Steeneken, H.J.M.; Houtgast, T.

    1999-01-01

    Current objective measures for predicting the intelligibility of speech by an index assume that this can be obtained by simple addition of the contributions of individual frequency bands. The Articulation Index (AI, and the related Speech Intelligibility Index), and the Speech Transmission Index

  10. Prediction of alkane enthalpies by means of correlation weighting of Morgan extended connectivity in molecular graphs

    Science.gov (United States)

    Toropov, A. A.; Toropova, A. P.; Nesterova, A. I.; Nabiev, O. M.

    2004-01-01

    Labeled hydrogen-filled graphs (LHFGs) together with graphs of atomic orbitals (GAOs) have been used to represent the molecular structure of alkanes. The GAO is an attempt at taking into account the structures of atoms (i.e., atomic orbitals such as, 1s 1, 2p 2, 3d 10) for QSPR/QSAR analyses. As a method of alkane enthalpies modeling, optimization of correlation weights of local invariants (OCWLI) of the LHFGs and the GAOs has been used. Statistical characteristics of such models based on the OCWLI of the GAO are better than those based on the OCWLI of the LHFGs.

  11. Pediatric cerebral stroke: susceptibility-weighted imaging may predict post-ischemic malignant edema.

    Science.gov (United States)

    Bosemani, Thangamadhan; Poretti, Andrea; Orman, Gunes; Meoded, Avner; Huisman, Thierry A G M

    2013-10-01

    Susceptibility-weighted imaging (SWI) is an advanced MRI technique providing information on the blood oxygenation level. Deoxyhemoglobin is increased in hypoperfused tissue characterized by SWI-hypointensity, while high oxyhemoglobin concentration within hyperperfused tissue results in a SWI iso- or hyperintensity compared to healthy brain tissue. We describe a child with a stroke, where SWI in addition to excluding hemorrhage and delineating the thrombus proved invaluable in determining regions of hyperperfusion or luxury perfusion, which contributed further to the prognosis including an increased risk of developing post-ischemic malignant edema.

  12. GIS Predictive Model for Producing Hydrothermal Gold Potential Map Using Weights of Evidence Approach in Gengma Region, Sanjiang District, China

    Institute of Scientific and Technical Information of China (English)

    Bassam F Al Bassam

    2003-01-01

    Gengma region, Sanjiang district is known to have some large-scale gold deposits. GIS predictive model for hydrothermal gold potential was carried out in this region using weights of evidence modeling technique. Datasets used include large-scale hydrothermal gold deposit records, geological, geophysical and remote sensing imagery. Based on the geological and mineral characteristics of areas with known gold occurrences in Sanjiang, several geological features were thought to be indicative of areas with potential for the occurrence of hydrothermal gold deposits. Indicative features were extracted from geoexploration datasets for use as input in the predictive model. The features include host rock lithology,geologic structures, wallrock alteration and associated (volcanic-plutonic) igneous rocks. To determine which of the indicative geological features are important spatial predictors of area with potential for gold deposits, spatial analysis was done through the modeling method. The input maps were buffered and the optimum distance of spatial association for each geological feature was determined by calculating the contrast and studentized contrast. Five feature maps were converted to binary predictor patterns and used as evidential layers for predictive modeling. The binary patterns were integrated in two combinations, each of which consists of four patterns in order to avoid over prediction due to the effect of duplicate features in the two structural evidences. The two produced potential maps defme almost similar favorable zones.Areas of intersections between these zones in the two potential maps placed the highest predictive favorable zones in the region.

  13. Three-Versus Two-Dimensional Sonographic Biometry for Predicting Birth Weight and Macrosomia in Diabetic Pregnancies.

    Science.gov (United States)

    Tuuli, Methodius G; Kapalka, Kristen; Macones, George A; Cahill, Alison G

    2016-09-01

    The purpose of this study was to test the hypothesis that a formula incorporating 3-dimensional (3D) fractional thigh volume would be superior to the conventional 2-dimensional (2D) formula of Hadlock et al (Am J Obstet Gynecol 1985; 151:333-337) for predicting birth weight and macrosomia. We conducted a prospective cohort study of pregnancies complicated by pregestational or gestational diabetes and delivered after 38 weeks. Two-dimensional and 3D sonographic examinations were performed for fetal biometry and factional thigh volumes at 34 to 37 weeks. Fetal weight was estimated by Hadlock's 2D formula IV, which uses only 2D biometry, and formula 6 from Lee et al (Ultrasound Obstet Gynecol 2009; 34:556-565), which incorporates 3D fractional thigh volume and 2D biometry. The gestation-adjusted projection method was used to estimate predicted birth weights from 2D and 3D estimates. The primary outcome was fetal macrosomia, which was defined as birth weight of 4000 g or higher. A total of 115 women with diabetes met inclusion criteria, and 17 (14.8%) delivered macrosomic neonates. The mean percentage error was significantly lower for the 2D than the 3D projected estimate (1.0% versus 12.0%; P macrosomia (area under the receiver operating characteristic curve, 0.88 versus 0.75; P = .03). Specificity was significantly higher for 2D biometry (85% versus 66%; P macrosomia in diabetic women when used approximately 2 weeks before delivery, based on the gestation-adjusted projection method.

  14. Longer Weekly Sleep Duration Predicts Greater 3-Month BMI Reduction among Obese Adolescents Attending a Clinical Multidisciplinary Weight Management Program

    Directory of Open Access Journals (Sweden)

    Bethany J. Sallinen

    2013-05-01

    Full Text Available Aims: To determine whether baseline levels of self-reported sleep and sleep problems among obese adolescents referred to an outpatient multidisciplinary family-based weight management program predict reduction in BMI 3 months later. Methods: A retrospective medical chart review was conducted for 83 obese adolescents. The following baseline variables were extracted: self-reported sleep duration (weekdays and weekends, and presence of snoring, daytime fatigue, suspected sleep apnea, and physician-diagnosed sleep apnea. Anthropometric data at baseline and 3 months were also collected. Results: On average, adolescents reported significantly less sleeping on weeknights (7.7 ± 1.3 h compared to weekend nights (10.0 ± 1.8 h, t(82 = 10.5, p = 0.0001. Reduction in BMI after 3 months of treatment was predicted by more weekly sleep at baseline (R2 = 0.113, F(1, 80 = 10.2, p = 0.002. Adolescents who reduced their BMI by ≥1 kg/m2 reported greater weekly sleep at baseline compared to adolescents who experienced 2 reduction (60.7 ± 7.5 h vs. 56.4 ± 8.6 h; F(1, 80 = 5.7, p = 0.02. Conclusion: Findings from this study, though correlational, raise the possibility that increased duration of sleep may be associated with weight loss among obese adolescents enrolled in a weight management program. Evidence-based behavioral techniques to improve sleep hygiene and increase sleep duration should be explored in pediatric weight management settings.

  15. A PLS-Based Weighted Artificial Neural Network Approach for Alpha Radioactivity Prediction inside Contaminated Pipes

    Directory of Open Access Journals (Sweden)

    Xianguo Tuo

    2014-01-01

    Full Text Available Long-range alpha detection (LRAD has been used to measure alpha particles emitting contamination inside decommissioned steel pipes. There exists a complex nonlinear relationship between input parameters and measuring results. The input parameters, for example, pipe diameter, pipe length, distance to radioactive source, radioactive source strength, wind speed, and flux, exhibit different contributions to the measuring results. To reflect these characteristics and estimate alpha radioactivity as exactly as possible, a hybrid partial least square back propagation (PLSBP neural network approach is presented in this paper. In this model, each node in the input layer is weighted, which indicates that different input nodes have different contributions on the system and this finding has been little reported. The weights are determined by the PLS. After this modification, a variety of normal three-layered BP networks are developed. The comparison of computational results of the proposed approach with traditional BP model and experiments confirms its clear advantage for dealing with this complex nonlinear estimation. Thus, an integrated picture of alpha particle activity inside contaminated pipes can be obtained.

  16. Alternative growth functions for predicting body, carcass, and breast weight in ducks: Lomolino equation and extreme value function.

    Science.gov (United States)

    Faridi, A; Murawska, D; Golian, A; Mottaghitalab, M; Gitoee, A; Lopez, S; France, J

    2014-04-01

    In this study, 2 alternative growth functions, the Lomolino and the extreme value function (EVF), are introduced and their ability to predict body, carcass, and breast weight in ducks evaluated. A comparative study was carried out of these equations with standard growth functions: Gompertz, exponential, Richards, and generalized Michaelis-Menten. Goodness of fit of the functions was evaluated using R(2), mean square error, Akaike information criterion, and Bayesian information criterion, whereas bias factor, accuracy factor, Durbin-Watson statistic, and number of runs of sign were the criteria used for analysis of residuals. Results showed that predictive performance of all functions was acceptable, though the Richards and exponential equations failed to converge in a few cases for both male and female ducks. Based on goodness-of-fit statistics, the Richards, Gompertz, and EVF were the best equations whereas the worst fits to the data were obtained with the exponential. Analysis of residuals indicated that, for the different traits investigated, the least biased and the most accurate equations were the Gompertz, EVF, Richards, and generalized Michaelis-Menten, whereas the exponential was the most biased and least accurate. Based on the Durbin-Watson statistic, all models generally behaved well and only the exponential showed evidence of autocorrelation for all 3 traits investigated. Results showed that with all functions, estimated final weights of males were higher than females for the body, carcass, and breast weight profiles. The alternative functions introduced here have desirable advantages including flexibility and a low number of parameters. However, because this is probably the first study to apply these functions to predict growth patterns in poultry or other animals, further analysis of these new models is suggested.

  17. Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching.

    Science.gov (United States)

    Cheng, Jianlin; Saigo, Hiroto; Baldi, Pierre

    2006-03-15

    The formation of disulphide bridges between cysteines plays an important role in protein folding, structure, function, and evolution. Here, we develop new methods for predicting disulphide bridges in proteins. We first build a large curated data set of proteins containing disulphide bridges to extract relevant statistics. We then use kernel methods to predict whether a given protein chain contains intrachain disulphide bridges or not, and recursive neural networks to predict the bonding probabilities of each pair of cysteines in the chain. These probabilities in turn lead to an accurate estimation of the total number of disulphide bridges and to a weighted graph matching problem that can be addressed efficiently to infer the global disulphide bridge connectivity pattern. This approach can be applied both in situations where the bonded state of each cysteine is known, or in ab initio mode where the state is unknown. Furthermore, it can easily cope with chains containing an arbitrary number of disulphide bridges, overcoming one of the major limitations of previous approaches. It can classify individual cysteine residues as bonded or nonbonded with 87% specificity and 89% sensitivity. The estimate for the total number of bridges in each chain is correct 71% of the times, and within one from the true value over 94% of the times. The prediction of the overall disulphide connectivity pattern is exact in about 51% of the chains. In addition to using profiles in the input to leverage evolutionary information, including true (but not predicted) secondary structure and solvent accessibility information yields small but noticeable improvements. Finally, once the system is trained, predictions can be computed rapidly on a proteomic or protein-engineering scale. The disulphide bridge prediction server (DIpro), software, and datasets are available through www.igb.uci.edu/servers/psss.html.

  18. A low TSH profile predicts olanzapine-induced weight gain and relief by adjunctive topiramate in healthy male volunteers.

    Science.gov (United States)

    Evers, Simon S; van Vliet, André; van Vugt, Barbara; Scheurink, Anton J W; van Dijk, Gertjan

    2016-04-01

    Second generation antipsychotics, like olanzapine (OLZ), have become the first line drug treatment for patients with schizophrenia. However, OLZ treatment is often associated with body weight (BW) gain and metabolic derangements. Therefore, the search for prospective markers for OLZ's negative side effects as well as adjunctive treatments to inhibit these has been of major interest. The aim of this study was to investigate in healthy male volunteers (age: 36 ± 11 years; BW: 84 ± 12 kg; BMI=25.5 ± 2.5) whether adjunctive topiramate (TPM) administration opposes OLZ-induced weight gain over the course of 14 days treatment. In addition, we investigated behavioral, endocrine and metabolic characteristics as underlying and potentially predictive factors for weight regulation and/or metabolic derangements associated with OLZ and TPM treatment. While adjunctive TPM indeed reduced OLZ-induced weight gain (PTPM. Using multiple regression analysis, BW gain was the key factor explaining metabolic disturbances (e.g., plasma insulin- LDL interaction: PTPM treatment, nor its circulating levels, contributed to variation observed in ΔBW. In a second multiple regression analysis, we observed that a low baseline thyrotropin profile (TSHAUC) before the start of drug treatment was associated with an increase in ΔBW over the course of drug treatment (PTPM treatment did attenuate OLZ induced BW gain (PTPM treatment blocking OLZ-induced ΔBW gain. Others have shown that OLZ-induced BW gain is associated with improvement in brief psychiatric rating scores (BPRS); adjunctive TPM treatment may be a solution specifically for those subjects susceptible to OLZ-induced rapid weight gain who-on a therapeutic level-benefit most of OLZ treatment.

  19. Athletes’ perfectionism and reasons for training: Perfectionistic concerns predict training for weight control

    OpenAIRE

    Madigan, Daniel J.; Stoeber, Joachim; Passfield, Louis

    2016-01-01

    Exercise and training for sports are associated with a number of psychological and health benefits. Research on exercise, however, suggests that such benefits depend on the reasons why individuals participate in sport. The present study investigated whether individual differences in perfectionism predicted different reasons for training and examined four dimensions of perfectionism (perfectionistic strivings, perfectionistic concerns, coach pressure to be perfect, parental pressure to be perf...

  20. Community-Weighted Mean Plant Traits Predict Small Scale Distribution of Insect Root Herbivore Abundance.

    Directory of Open Access Journals (Sweden)

    Ilja Sonnemann

    Full Text Available Small scale distribution of insect root herbivores may promote plant species diversity by creating patches of different herbivore pressure. However, determinants of small scale distribution of insect root herbivores, and impact of land use intensity on their small scale distribution are largely unknown. We sampled insect root herbivores and measured vegetation parameters and soil water content along transects in grasslands of different management intensity in three regions in Germany. We calculated community-weighted mean plant traits to test whether the functional plant community composition determines the small scale distribution of insect root herbivores. To analyze spatial patterns in plant species and trait composition and insect root herbivore abundance we computed Mantel correlograms. Insect root herbivores mainly comprised click beetle (Coleoptera, Elateridae larvae (43% in the investigated grasslands. Total insect root herbivore numbers were positively related to community-weighted mean traits indicating high plant growth rates and biomass (specific leaf area, reproductive- and vegetative plant height, and negatively related to plant traits indicating poor tissue quality (leaf C/N ratio. Generalist Elaterid larvae, when analyzed independently, were also positively related to high plant growth rates and furthermore to root dry mass, but were not related to tissue quality. Insect root herbivore numbers were not related to plant cover, plant species richness and soil water content. Plant species composition and to a lesser extent plant trait composition displayed spatial autocorrelation, which was not influenced by land use intensity. Insect root herbivore abundance was not spatially autocorrelated. We conclude that in semi-natural grasslands with a high share of generalist insect root herbivores, insect root herbivores affiliate with large, fast growing plants, presumably because of availability of high quantities of food. Affiliation of

  1. Community-Weighted Mean Plant Traits Predict Small Scale Distribution of Insect Root Herbivore Abundance.

    Science.gov (United States)

    Sonnemann, Ilja; Pfestorf, Hans; Jeltsch, Florian; Wurst, Susanne

    2015-01-01

    Small scale distribution of insect root herbivores may promote plant species diversity by creating patches of different herbivore pressure. However, determinants of small scale distribution of insect root herbivores, and impact of land use intensity on their small scale distribution are largely unknown. We sampled insect root herbivores and measured vegetation parameters and soil water content along transects in grasslands of different management intensity in three regions in Germany. We calculated community-weighted mean plant traits to test whether the functional plant community composition determines the small scale distribution of insect root herbivores. To analyze spatial patterns in plant species and trait composition and insect root herbivore abundance we computed Mantel correlograms. Insect root herbivores mainly comprised click beetle (Coleoptera, Elateridae) larvae (43%) in the investigated grasslands. Total insect root herbivore numbers were positively related to community-weighted mean traits indicating high plant growth rates and biomass (specific leaf area, reproductive- and vegetative plant height), and negatively related to plant traits indicating poor tissue quality (leaf C/N ratio). Generalist Elaterid larvae, when analyzed independently, were also positively related to high plant growth rates and furthermore to root dry mass, but were not related to tissue quality. Insect root herbivore numbers were not related to plant cover, plant species richness and soil water content. Plant species composition and to a lesser extent plant trait composition displayed spatial autocorrelation, which was not influenced by land use intensity. Insect root herbivore abundance was not spatially autocorrelated. We conclude that in semi-natural grasslands with a high share of generalist insect root herbivores, insect root herbivores affiliate with large, fast growing plants, presumably because of availability of high quantities of food. Affiliation of insect root

  2. Prediction of Hardness of the Zn-Al-Cu Alloys of Agreement by Composition in Weight

    Directory of Open Access Journals (Sweden)

    Villegas-Cárdenas José David

    2013-06-01

    Full Text Available Ten alloys Zn – Al – Cu were developed in two parts, in agreement to two zones presented in the isopleth diagrams (Villas et al., 1995. The percentage of Cu and Al was systematically varied. Subsequently, hardness measurements were performed. These measurements allowed establishing two equations that predict the hardness with an error lower than 5%. With these equations, it is possible to obtain alloys that replace Al base alloys by a Zn base alloy, having the same hardness. This implicates also the elimination of the volumetric change in the presence of ε phase.

  3. Disgust sensitivity, obesity stigma, and gender: contamination psychology predicts weight bias for women, not men.

    Science.gov (United States)

    Lieberman, Debra L; Tybur, Josh M; Latner, Janet D

    2012-09-01

    Recent research has established a link between disgust sensitivity and stigmatizing reactions to various groups, including obese individuals. However, previous research has overlooked disgust's multiple evolved functions. Here, we investigated whether the link between disgust sensitivity and obesity stigma is specific to pathogen disgust, or whether sexual disgust and moral disgust--two separate functional domains--also relate to negative attitudes toward obese individuals. Additionally, we investigated whether sex differences exist in the manner disgust sensitivity predicts obesity stigma, whether the sexes differ across the subtypes of obesity bias independent of disgust sensitivity, and last, the association between participants' BMI and different subtypes of obesity stigma. In study 1 (N = 92), we established that obesity elicits pathogen, sexual, and moral disgust. In study 2, we investigated the relationship between these types of disgust sensitivity and obesity stigma. Participants (N = 387) reported their level of disgust toward various pathogen, sexual, and moral acts and their attitudes toward obese individuals. For women, but not men, increased pathogen disgust sensitivity predicted more negative attitudes toward obese individuals. Men reported more negative general attitudes toward obese individuals whereas women reported greater fear of becoming obese. The sexes also differed in how their own BMI related to the subtypes of obesity stigma. These findings indicate that pathogen disgust sensitivity plays a role in obesity stigma, specifically for women. Defining the scope of disgust's activation in response to obesity and its relationship with other variables can help identify possible mechanisms for understanding and ultimately alleviating prejudice and discrimination.

  4. Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction

    Directory of Open Access Journals (Sweden)

    Yu-Tzu Chang

    2012-01-01

    Full Text Available This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs by using genetic algorithms (GA. The sample in this study included 228 patients with first low-trauma hip fracture and 215 patients without hip fracture, both of them were interviewed with 78 questions. We used logistic regression to select 5 important factors (i.e., bone mineral density, experience of fracture, average hand grip strength, intake of coffee, and peak expiratory flow rate for building artificial neural networks to predict the probabilities of hip fractures. Three-layer (one hidden layer ANNs models with back-propagation training algorithms were adopted. The purpose in this paper is to find the optimal initial weights of neural networks via genetic algorithm to improve the predictability. Area under the ROC curve (AUC was used to assess the performance of neural networks. The study results showed the genetic algorithm obtained an AUC of 0.858±0.00493 on modeling data and 0.802 ± 0.03318 on testing data. They were slightly better than the results of our previous study (0.868±0.00387 and 0.796±0.02559, resp.. Thus, the preliminary study for only using simple GA has been proved to be effective for improving the accuracy of artificial neural networks.

  5. Molecular concentration of deoxyHb in human prefrontal cortex predicts the emergence and suppression of consciousness.

    Science.gov (United States)

    Leon-Dominguez, Umberto; Izzetoglu, Meltem; Leon-Carrion, Jose; Solís-Marcos, Ignacio; Garcia-Torrado, Francisco Jose; Forastero-Rodríguez, Ana; Mellado-Miras, Patricia; Villegas-Duque, Diego; Lopez-Romero, Juan Luis; Onaral, Banu; Izzetoglu, Kurtulus

    2014-01-15

    This is the first study to use fNIRS to explore anaesthetic depth and awakening during surgery with general anaesthesia. A 16 channel continuous wave (CW) functional near-infrared system (fNIRS) was used to monitor PFC activity. These outcomes were compared to BIS measures. The results indicate that deoxyHb concentration in the PFC varies during the suppression and emergence of consciousness. During suppression, deoxyHb levels increase, signalling the deactivation of the PFC, while during emergence, deoxyHb concentration drops, initiating PFC activation and the recovery of consciousness. Furthermore, BIS and deoxyHb concentrations in the PFC display a high negative correlation throughout the different anaesthetic phases. These findings suggest that deoxyHb could be a reliable marker for monitoring anaesthetic depth, and that the PFC intervenes in the suppression and emergence of consciousness. © 2013 Elsevier Inc. All rights reserved.

  6. Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.

    Science.gov (United States)

    Majaj, Najib J; Hong, Ha; Solomon, Ethan A; DiCarlo, James J

    2015-09-30

    To go beyond qualitative models of the biological substrate of object recognition, we ask: can a single ventral stream neuronal linking hypothesis quantitatively account for core object recognition performance over a broad range of tasks? We measured human performance in 64 object recognition tests using thousands of challenging images that explore shape similarity and identity preserving object variation. We then used multielectrode arrays to measure neuronal population responses to those same images in visual areas V4 and inferior temporal (IT) cortex of monkeys and simulated V1 population responses. We tested leading candidate linking hypotheses and control hypotheses, each postulating how ventral stream neuronal responses underlie object recognition behavior. Specifically, for each hypothesis, we computed the predicted performance on the 64 tests and compared it with the measured pattern of human performance. All tested hypotheses based on low- and mid-level visually evoked activity (pixels, V1, and V4) were very poor predictors of the human behavioral pattern. However, simple learned weighted sums of distributed average IT firing rates exactly predicted the behavioral pattern. More elaborate linking hypotheses relying on IT trial-by-trial correlational structure, finer IT temporal codes, or ones that strictly respect the known spatial substructures of IT ("face patches") did not improve predictive power. Although these results do not reject those more elaborate hypotheses, they suggest a simple, sufficient quantitative model: each object recognition task is learned from the spatially distributed mean firing rates (100 ms) of ∼60,000 IT neurons and is executed as a simple weighted sum of those firing rates. Significance statement: We sought to go beyond qualitative models of visual object recognition and determine whether a single neuronal linking hypothesis can quantitatively account for core object recognition behavior. To achieve this, we designed a

  7. Predicting accurate fluorescent spectra for high molecular weight polycyclic aromatic hydrocarbons using density functional theory

    Science.gov (United States)

    Powell, Jacob; Heider, Emily C.; Campiglia, Andres; Harper, James K.

    2016-10-01

    The ability of density functional theory (DFT) methods to predict accurate fluorescence spectra for polycyclic aromatic hydrocarbons (PAHs) is explored. Two methods, PBE0 and CAM-B3LYP, are evaluated both in the gas phase and in solution. Spectra for several of the most toxic PAHs are predicted and compared to experiment, including three isomers of C24H14 and a PAH containing heteroatoms. Unusually high-resolution experimental spectra are obtained for comparison by analyzing each PAH at 4.2 K in an n-alkane matrix. All theoretical spectra visually conform to the profiles of the experimental data but are systematically offset by a small amount. Specifically, when solvent is included the PBE0 functional overestimates peaks by 16.1 ± 6.6 nm while CAM-B3LYP underestimates the same transitions by 14.5 ± 7.6 nm. These calculated spectra can be empirically corrected to decrease the uncertainties to 6.5 ± 5.1 and 5.7 ± 5.1 nm for the PBE0 and CAM-B3LYP methods, respectively. A comparison of computed spectra in the gas phase indicates that the inclusion of n-octane shifts peaks by +11 nm on average and this change is roughly equivalent for PBE0 and CAM-B3LYP. An automated approach for comparing spectra is also described that minimizes residuals between a given theoretical spectrum and all available experimental spectra. This approach identifies the correct spectrum in all cases and excludes approximately 80% of the incorrect spectra, demonstrating that an automated search of theoretical libraries of spectra may eventually become feasible.

  8. Evidence that plasma concentration rather than dose per kilogram body weight predicts ribavirin-induced anaemia.

    Science.gov (United States)

    Lindahl, K; Schvarcz, R; Bruchfeld, A; Ståhle, L

    2004-01-01

    Ribavirin in combination with interferon alpha-2 or pegylated interferon is the standard treatment for chronic hepatitis C. The current dosage recommendations for ribavirin are based on body weight (bw). Ribavirin is mainly eliminated by the kidneys and we have recently shown that ribavirin plasma concentrations are determined primarily by renal function. It is therefore reasonable to hypothesize that side-effects of ribavirin, i.e. anaemia, should be more closely related to plasma concentrations of ribavirin than to the dose per kg bw. A total of 108 consecutive patients eligible for treatment of chronic hepatitis C were studied. Ribavirin concentrations in plasma were measured by high-performance liquid chromatography (HPLC)-UV after solid-phase extraction in trough samples taken 4, 8 and 12 weeks after the treatment commenced. A total of 213 samples were obtained and the change in the haemoglobin level and the creatinine concentration was measured in addition to ribavirin. The dose of ribavirin per kg bw did not correlate with the drop in haemoglobin level induced by ribavirin. The concentration of ribavirin was non-linearly related to the drop in the haemoglobin level as revealed by fitting a standard Hill equation type dose-response curve. The half maximal drop in haemoglobin was obtained at 4.4 microm. The results from this study suggest that the anaemia induced by ribavirin depends primarily on the concentration of ribavirin, and not on the dose per kg bw. This lends further support to the idea that ribavirin should be dosed according to renal function.

  9. High-molecular-weight adiponectin does not predict cardiovascular events in patients with type 2 diabetes.

    Science.gov (United States)

    Krzyzanowska, Katarzyna; Aso, Yoshimasa; Mittermayer, Friedrich; Inukai, Toshihiko; Brix, Johanna; Schernthaner, Guntram

    2009-04-01

    Low circulating high-molecular-weight (HMW) adiponectin might be associated with increased cardiovascular risk. This study aimed to investigate the relationship between HMW adiponectin and cardiovascular events in patients with type 2 diabetes mellitus (T2DM) with an adverse cardiovascular risk profile. The investigation took place in a specialized outpatient clinic for metabolic diseases and included 147 patients with T2DM following a cross-sectional and a prospective study protocol. Ninety patients had macrovascular disease at baseline defined as preexisting coronary artery disease, previous stroke, or peripheral artery disease. HMW adiponectin measured by enzyme-linked immunosorbent assay (Fujirebio, Tokyo, Japan) and routine clinical parameters were determined in all patients at baseline. The occurrence of new cardiovascular events (myocardial infarction, stroke, and all-cause mortality) during the follow-up period was evaluated. No significant correlations between traditional cardiovascular risk markers and HMW adiponectin could be detected. HMW adiponectin did not differ between subjects with and without macrovascular disease at baseline (3.5 [interquartile range [IQR]: 2.2-5.7] mg/L vs 4.0 [IQR: 2.5-7.1] mg/L). During a follow-up of 19.3 (IQR: 16-25) months, 61 endpoints (41 myocardial infarctions, 10 strokes, and 10 deaths) were observed. A 1-standard-deviation increment of log-transformed HMW adiponectin was not significantly associated with the occurrence of cardiovascular events (Adjusted hazard ratio [HR]: 0.95; 95% confidence interval [CI]: 0.58-1.54; P = 0.835). In conclusion, HMW adiponectin was not related to present macrovascular disease and is not associated with future cardiovascular events in high-risk patients with T2DM. It is unlikely that HMW adiponectin has significant vasoprotective effects in these patients.

  10. Candy consumption in childhood is not predictive of weight, adiposity measures or cardiovascular risk factors in young adults: the Bogalusa Heart Study

    Science.gov (United States)

    There are limited data available on the longitudinal relationship between candy consumption by children on weight and other cardiovascular risk factors (CVRF) in young adults. The present study investigated whether candy consumption in children was predictive of weight and CVRF in young adults. A lo...

  11. The predictability of frequency-altered auditory feedback changes the weighting of feedback and feedforward input for speech motor control.

    Science.gov (United States)

    Scheerer, Nichole E; Jones, Jeffery A

    2014-12-01

    Speech production requires the combined effort of a feedback control system driven by sensory feedback, and a feedforward control system driven by internal models. However, the factors that dictate the relative weighting of these feedback and feedforward control systems are unclear. In this event-related potential (ERP) study, participants produced vocalisations while being exposed to blocks of frequency-altered feedback (FAF) perturbations that were either predictable in magnitude (consistently either 50 or 100 cents) or unpredictable in magnitude (50- and 100-cent perturbations varying randomly within each vocalisation). Vocal and P1-N1-P2 ERP responses revealed decreases in the magnitude and trial-to-trial variability of vocal responses, smaller N1 amplitudes, and shorter vocal, P1 and N1 response latencies following predictable FAF perturbation magnitudes. In addition, vocal response magnitudes correlated with N1 amplitudes, vocal response latencies, and P2 latencies. This pattern of results suggests that after repeated exposure to predictable FAF perturbations, the contribution of the feedforward control system increases. Examination of the presentation order of the FAF perturbations revealed smaller compensatory responses, smaller P1 and P2 amplitudes, and shorter N1 latencies when the block of predictable 100-cent perturbations occurred prior to the block of predictable 50-cent perturbations. These results suggest that exposure to large perturbations modulates responses to subsequent perturbations of equal or smaller size. Similarly, exposure to a 100-cent perturbation prior to a 50-cent perturbation within a vocalisation decreased the magnitude of vocal and N1 responses, but increased P1 and P2 latencies. Thus, exposure to a single perturbation can affect responses to subsequent perturbations.

  12. Optimizing weights of protein energy function to improve ab initio protein structure prediction

    CERN Document Server

    Wang, Chao; Liu, Juntao; Zhang, Haicang; Ling, Bin; Li, Shuai Cheng; Zheng, Wei-Mou; Bu, Dongbo

    2013-01-01

    Predicting protein 3D structure from amino acid sequence remains as a challenge in the field of computational biology. If protein structure homologues are not found, one has to construct 3D structural conformations from the very beginning by the so-called ab initio approach, using some empirical energy functions. A successful algorithm in this category, Rosetta, creates an ensemble of decoy conformations by assembling selected best short fragments of known protein structures and then recognizes the native state as the highly populated one with a very low energy. Typically, an energy function is a combination of a variety of terms characterizing different structural features, say hydrophobic interactions, van der Waals force, hydrogen bonding, etc. It is critical for an energy function to be capable to distinguish native-like conformations from non-native ones and to drive most initial conformations assembled from fragments to a native-like one in a conformation search process. In this paper we propose a linea...

  13. New tools and new ideas for HR practitioners. Structural and predictive validity of weighted satisfaction questionnaire

    Directory of Open Access Journals (Sweden)

    Lorenzo Revuelto Taboada

    2012-12-01

    Full Text Available One of the fundamental tasks for an Human Resource Management (HRM practitioner consists in designing a reward system that can be broadly understood and can influence the attitudes and, subsequently, the behavior of individuals to permit achievement of organizational objectives. To do so, appropriate tools are necessary to allow key actions to be identified in terms of motivating employees; thereby, avoiding opportunistic costs derived from allocating resources needed to close the gap in employee satisfaction, with regard to non-priority factors for workers in satisfying their own personal needs. This article, thus, presents a dual assessment scale consisting of 44 items, categorized into six dimensions, which firstly evaluates the importance of motivation and, secondly, the level of satisfaction with the current situation for each of the 44 factors considered. Using a sample of 801 individuals, we analyzedthe internal consistency, face validity, and predictive validity of the measuring scales, obtaining a series of results that were, to say the least, promising

  14. The prevalence and predictive value of weak language skills in children with very low birth weight--a longitudinal study.

    Science.gov (United States)

    Stolt, Suvi; Matomaki, Jaakko; Lind, Annika; Lapinleimu, Helena; Haataja, Leena; Lehtonen, Liisa

    2014-06-01

    Previous findings regarding the prevalence and predictive value of weak language skills in preterm children with very low birth weight (VLBW) are unclear. This study analysed the prevalence of weak language skills, the predictive value of early weak language skills on later weak language skills, and the sensitivity and specificity of cognitive scores for identifying concurrent weak language skills in a longitudinal sample of VLBW children (n = 141) and their full-term controls (n = 146). Data on language skills and cognitive development were gathered at two and five years of age. Weak language skills were defined by the 10th percentile value of the controls. In VLBW children, the prevalence of weak language skills varied between 16% and 18% at 2 years of age (controls: 8 to 10%) and between 20% and 27% at 5 years of age (controls: 10%). Early weak language skills predicted later weak language skills in VLBW children. Cognitive scores were specific, but their sensitivity for identifying concurrent weak language skills was low. The prevalence of weak language skills in VLBW children increased during the follow-up period and was higher than the controls. Language-sensitive methods should be used in the clinical follow-up of VLBW children.

  15. Prediction of the histopathological grade of hepatocellular carcinoma using qualitative diffusion-weighted, dynamic, and hepatobiliary phase MRI

    Energy Technology Data Exchange (ETDEWEB)

    An, Chansik; Kim, Yeo-Eun; Chung, Woo-Suk; Chung, Yong Eun; Kim, Ki Whang [Yonsei University College of Medicine, Department of Diagnostic Radiology, Research Institute of Radiological Science, Severance Hospital, Seoul (Korea, Republic of); Park, Mi-Suk [Yonsei University College of Medicine, Department of Diagnostic Radiology, Research Institute of Radiological Science, Severance Hospital, Seoul (Korea, Republic of); Yonsei University College of Medicine, Institute of Gastroenterology, Seoul (Korea, Republic of); Yonsei University College of Medicine, Brain Korea 21 Project for Medical Science, Seoul (Korea, Republic of); Severance Hospital, Department of Diagnostic Radiology, Seoul (Korea, Republic of); Jeon, Hyae-Min [Yonsei University College of Medicine, Department of Pathology, Seoul (Korea, Republic of); Kim, Myeong-Jin [Yonsei University College of Medicine, Department of Diagnostic Radiology, Research Institute of Radiological Science, Severance Hospital, Seoul (Korea, Republic of); Yonsei University College of Medicine, Institute of Gastroenterology, Seoul (Korea, Republic of); Yonsei University College of Medicine, Brain Korea 21 Project for Medical Science, Seoul (Korea, Republic of)

    2012-08-15

    To investigate the effectiveness of qualitative diffusion-weighted imaging (DWI), subtraction of unenhanced from arterial phase images, and hepatobiliary phase (HBP) images in estimating the histopathological grade of hepatocellular carcinoma (HCC). We retrospectively reviewed gadoxetic acid-enhanced magnetic resonance images of 175 patients with 201 surgically resected HCCs. The signal intensity and its relationship with histopathological grade were assessed for each sequence and a combination of sequences. There was a tendency towards higher grades in tumours showing restricted diffusion on DWI (P < 0.001) or arterial enhancement on subtraction imaging (P <0.001), but not hepatocyte-defect on HBP images (P = 0.33). When lesions were divided into three groups based on combined findings on DWI and subtraction imaging, a linear trend was observed between group and grade (P < 0.001). The positive predictive value (PPV) of the combination of no restricted diffusion and no arterial enhancement in predicting well-differentiated HCC was 100%, higher than the PPV of individual findings on DWI (74%) or subtraction imaging (81%). DWI and subtraction imaging are helpful for predicting the histopathological grade of HCC, especially when the two sequences are considered together. (orig.)

  16. Household tobacco smoke and admission weight predict severe bronchiolitis in infants independent of deprivation: prospective cohort study.

    Directory of Open Access Journals (Sweden)

    Malcolm G Semple

    Full Text Available OBJECTIVES: To examine demographic, environmental and clinical factors associated with severe bronchiolitis in infants admitted to hospital and quantify the independent effects of these factors. DESIGN: Prospective cohort study. SETTING: Alder Hey Children's Hospital, Liverpool, United Kingdom. PARTICIPANTS: 378 infants admitted to hospital with a diagnosis of bronchiolitis, of whom 299 (79% were antigen positive to respiratory syncytial virus (RSV. OUTCOME: Severity of disease during admission, defined as "no need for supplemental oxygen" (reference group, "any need for supplemental oxygen" and "any need for mechanical ventilation". RESULTS: Univariate analysis found male sex (p = 0.035 and tobacco smoking by a household member (p<0.001 were associated with need for both supplemental oxygen and mechanical ventilation. Premature birth, low gestation, low birth weight, low admission weight and low corrected age on admission were also associated with need for mechanical ventilation (all p≤0.002. Deprivation scores (IMD 2004 were significantly higher in households where a member smoked compared to non-smoking households (p<0.001. The odds of smoking predicted by deprivation were 7 times higher (95%CI (3.59, 14.03, when comparing the least and most deprived quintiles of the study population. Family history of atopic disease and deprivation score were not associated with severe disease. Multivariate multinomial logistic regression which initially included all covariates, found household tobacco smoking (adjusted OR = 2.45, 95%CI (1.60, 3.74 predicted need for oxygen supplementation. Household tobacco smoking (adjusted OR = 5.49, (2.78, 10.83 and weight (kg on admission (adjusted OR = 0.51, (0.40, 0.65 were both significant predictors in the final model for mechanical ventilation. The same associations and similar size of effects were found when only children with proven RSV infection were included in analysis. CONCLUSIONS: Low

  17. Perfectionism, weight and shape concerns, and low self-esteem: Testing a model to predict bulimic symptoms.

    Science.gov (United States)

    La Mela, Carmelo; Maglietta, Marzio; Caini, Saverio; Casu, Giuliano P; Lucarelli, Stefano; Mori, Sara; Ruggiero, Giovanni Maria

    2015-12-01

    Previous studies have tested multivariate models of bulimia pathology development, documenting that a confluence of perfectionism, body dissatisfaction, and low self-esteem is predictive of disordered eating. However, attempts to replicate these results have yielded controversial findings. The objective of the present study was to test an interactive model of perfectionism, weight and shape concerns, and self-esteem in a sample of patients affected by Eating Disorder (ED). One-hundred-sixty-seven ED patients received the Structured Clinical Interview for DSM-IV Axis I (SCID-I), and they completed the Eating Disorder Examination Questionnaire (EDE-Q), the Rosenberg Self-Esteem Scale (RSES), and the Multidimensional Perfectionism Scale (MPS-F). Several mediation analysis models were fit to test whether causal effects of concern over weight and shape on the frequency of bulimic episodes were mediated by perfectionism and moderated by low levels of self-esteem. Contrary to our hypotheses, we found no evidence that the causal relationship investigated was mediated by any of the dimensions of perfectionism. As a secondary finding, the dimensions of perfectionism, perceived criticism and parental expectations, were significantly correlated with the presence of bulimic symptoms. The validity of the interactive model remains controversial, and may be limited by an inadequate conceptualization of the perfectionism construct.

  18. Prediction Value of CRIB-II in Outcome of Preterm and Low Birth Weight Infants: a Prospective Cohort Study

    Directory of Open Access Journals (Sweden)

    Mohammad Heidarzadeh

    2016-04-01

    Full Text Available Background: One of the most common methods of identifying mortality risk is the Clinical Risk Index for Babies scoring system (CRIB- II. The aim of this study was assessing the value of CRIB- II in predicting mortality risk in preterm and low birth weight infants in East Azerbaijan- Iran. Materials and Methods: This prospective cohort study was carried out in 2013-2014 during 6 months in NICUs of Alzahra, Taleqani and Children hospitals of Tabriz-Iran. All infants ≤ 32 weeks’ gestational age or ≤ 1500gr birth weight were included in the study using consecutive method. After calculating CRIB- II score, the infants were followed up at 3 months of age and their outcome was determined. The data was analyzed using SPSS-13, t- test, receiver operating characteristics (ROC and area under curve (AUC and relative risk (RR. Results: Of total 215 infants, 64 infants (29.7% died in the hospital and one infant (0.4% died after discharging from the hospital. 150 (68.8% infants, were alive at 3 months age follow up. The mean of CRIB- II score in the group of dead infants was higher and statistically significant compared to the group of alive infants (P

  19. Variations in linear body measurements and establishing prediction equations for live weight of indigenous sheep populations of southern Ethiopia

    Directory of Open Access Journals (Sweden)

    Aberra Melesse

    2013-01-01

    Full Text Available This study was conducted to describe variations in morphometrical traits and determine the usefulness of some linear body measurements in predicting body weight (BW of indigenous sheep populations reared in KmabataTembaro-Hadiya (KTH, Wolaita (WOL, Gamogofa (GAG, Gurage-Silti (GUS and Sidama-Gedeo (SIG zones of Southern Region of Ethiopia. Data were obtained from 2712 sheep that were drawn from 928 households. The BW and height at withers (HW in WOL and SIG ewes aged 1-2 years was significantly high compared to others. High chest girth (CG values were obtained from SIG, GAG, and GUS ewes. Ewes of SIG, WOL, KTH and GAG had significantly high body length (BL. Significantly high CG values were obtained from SIG and GAG ewes. Rams of WOL, KTH and GUS had significantly high BW, BL and HW. Body weight of KTH, WOL and GAG ewes aged 1 year and above 2 years and rams is better estimated using CG alone. However, the best predictor for KTH, WOL and GAG ewes aged 1-2 years old were CG, HW and BL. In conclusion, CG was the primary variable to explain most of the variations in BW and can be used as reliable predictor for studied sheep types. SIG and WOL sheep had a relatively large body frame and emphasis may be given for their improvement.

  20. Comparison of Predicted Exercise Capacity Equations and the Effect of Actual versus Ideal Body Weight among Subjects Undergoing Cardiopulmonary Exercise Testing

    Directory of Open Access Journals (Sweden)

    H. Reza Ahmadian

    2013-01-01

    Full Text Available Background. Oxygen uptake at maximal exercise (VO2 max is considered the best available index for assessment of exercise capacity. The purpose of this study is to determine if the use of actual versus ideal body weight in standard regression equations for predicted VO2 max results in differences in predicted VO2 max. Methods. This is a retrospective chart review of patients who were predominantly in active military duty with complaints of dyspnea or exercise tolerance and who underwent cardiopulmonary exercise testing (CPET from 2007 to 2009. Results. A total of 230 subjects completed CPET on a bicycle ergometer with a male predominance (62% and an average age of 37 ± 15 years. There was significant discordance between the measured VO2 max and predicted VO2 max when measured by the Hansen and Wasserman reference equations (P<0.001. Specifically, there was less overestimation when predicted VO2 max was based on ideal body weight as opposed to actual body weight. Conclusion. Our retrospective analysis confirmed the wide variations in predicted versus measured VO2 max based on varying prediction equations and showed the potential advantage of using ideal body weight as opposed to actual body weight in order to further standardize reference norms.

  1. Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Y. [Department of Radiology, General Hospital of Tianjin Medical University, Tianjin (China); Bai, R., E-mail: tjbairenju@yahoo.com.c [Department of Radiology, General Hospital of Tianjin Medical University, Tianjin (China); Sun, H. [Department of Radiology, General Hospital of Tianjin Medical University, Tianjin (China); Liu, H. [Department of Radiology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin (China); Zhao, X.; Li, Y. [Department of Radiology, General Hospital of Tianjin Medical University, Tianjin (China)

    2009-11-15

    Aim: To investigate the ability of diffusion-weighted imaging (DWI) to predict and monitor the response of uterine cervical cancer to combined chemoradiation using apparent diffusion coefficients (ADCs). Materials and methods: Seventeen women (mean age 48.5 years) with uterine cervical cancer received conventional magnetic resonance imaging (MRI) and DWI prior to chemoradiation and after 1 and 2 months of therapy. A subgroup of eight also had MRI and DWI repeated after 15 days of therapy. Treatment response was determined according to changes in tumour size after 2 months of therapy and was classified as complete response (CR), partial response (PR), stable disease (SD), or progressive disease (PD). Pretreatment ADCs were compared between the different disease response groups, and dynamic changes of ADCs in each group were observed. Pearson's correlation test was calculated between those ADC parameters and tumour response. Results: Pretreatment ADCs for CR were significantly lower than those of PR (p = 0.005). Negative correlation was found between pretreatment ADCs and percentage size reduction after 2 months of chemoradiation (p = 0.016). The percentage ADC change after 1 month correlated positively with percentage size reduction after 2 months of therapy (p = 0.021). ADCs after 15 days of therapy increased significantly compared with pretreatment ones (p = 0.001); however, the longest tumour diameter showed no statistically significant change (p = 0.078). Conclusion: ADCs may have the potential to be used to predict and monitor the response of uterine cervical cancer to therapy.

  2. Diffusion-weighted magnetic resonance imaging for prediction of insignificant prostate cancer in potential candidates for active surveillance

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Tae Heon; Jeong, Jae Yong; Lee, Sin Woo; Sung, Hyun Hwan; Jeon, Hwang Gyun; Jeong, Byong Chang; Seo, Seong Il; Lee, Hyun Moo; Choi, Han Yong; Jeon, Seong Soo [Sungkyunkwan University School of Medicine, Department of Urology, Samsung Medical Center, Seoul (Korea, Republic of); Kim, Chan Kyo; Park, Byung Kwan [Sungkyunkwan University School of Medicine, Department of Radiology, Samsung Medical Center, Seoul (Korea, Republic of)

    2015-06-01

    To investigate whether the apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (DW-MRI) could help improve the prediction of insignificant prostate cancer in candidates for active surveillance (AS). Enrolled in this retrospective study were 287 AS candidates who underwent DW-MRI before radical prostatectomy. Patients were stratified into two groups; Group A consisted of patients with no visible tumour or a suspected tumour ADC value > 0.830 x 10{sup -3} mm{sup 2}/sec and Group B consisted of patients with a suspected tumour ADC value < 0.830 x 10{sup -3} mm{sup 2}/sec. We compared pathological outcomes in each group. Group A had 243 (84.7 %) patients and Group B had 44 (15.3 %) patients. The proportion of organ-confined Gleason ≤ 6 disease and insignificant prostate cancer was significantly higher in Group A than Group B (61.3 % vs. 38.6 %, p = 0.005 and 47.7 % vs. 25.0 %, p = 0.005, respectively). On multivariate analysis, a high ADC value was the independent predictor of organ-confined Gleason ≤ 6 disease and insignificant prostate cancer (odds ratio = 2.43, p = 0.011 and odds ratio = 2.74, p = 0.009, respectively). Tumour ADC values may be a useful marker for predicting insignificant prostate cancer in candidates for AS. (orig.)

  3. A distinct adipose tissue gene expression response to caloric restriction predicts 6-mo weight maintenance in obese subjects

    DEFF Research Database (Denmark)

    Mutch, David M.; Pers, Tune Hannes; Temanni, M. Ramzi

    2011-01-01

    Weight loss has been shown to reduce risk factors associated with cardiovascular disease and diabetes; however, successful maintenance of weight loss continues to pose a challenge.......Weight loss has been shown to reduce risk factors associated with cardiovascular disease and diabetes; however, successful maintenance of weight loss continues to pose a challenge....

  4. Comparison of Predicted Exercise Capacity Equations and the Effect of Actual versus Ideal Body Weight among Subjects Undergoing Cardiopulmonary Exercise Testing.

    Science.gov (United States)

    Ahmadian, H Reza; Sclafani, Joseph J; Emmons, Ethan E; Morris, Michael J; Leclerc, Kenneth M; Slim, Ahmad M

    2013-01-01

    Background. Oxygen uptake at maximal exercise (VO2 max) is considered the best available index for assessment of exercise capacity. The purpose of this study is to determine if the use of actual versus ideal body weight in standard regression equations for predicted VO2 max results in differences in predicted VO2 max. Methods. This is a retrospective chart review of patients who were predominantly in active military duty with complaints of dyspnea or exercise tolerance and who underwent cardiopulmonary exercise testing (CPET) from 2007 to 2009. Results. A total of 230 subjects completed CPET on a bicycle ergometer with a male predominance (62%) and an average age of 37 ± 15 years. There was significant discordance between the measured VO2 max and predicted VO2 max when measured by the Hansen and Wasserman reference equations (P VO2 max was based on ideal body weight as opposed to actual body weight. Conclusion. Our retrospective analysis confirmed the wide variations in predicted versus measured VO2 max based on varying prediction equations and showed the potential advantage of using ideal body weight as opposed to actual body weight in order to further standardize reference norms.

  5. Early weight loss predicts the reduction of obesity in men with erectile dysfunction and hypogonadism undergoing long-term testosterone replacement therapy.

    Science.gov (United States)

    Salman, Mahmoud; Yassin, Dany-Jan; Shoukfeh, Huda; Nettleship, Joanne Elisabeth; Yassin, Aksam

    2017-03-01

    We and others have previously shown that testosterone replacement therapy (TRT) results in sustained weight loss in the majority of middle-aged hypogonadal men. Previously, however, a small proportion failed to lose at least 5% of their baseline weight. The reason for this is not yet understood. In the present study, we sought to identify early indicators that may predict successful long-term weight loss, defined as a reduction of at least 5% of total body weight relative to baseline weight (T0), in men with hypogonadism undergoing TRT. Eight parameters measured were assessed as potential predictors of sustained weight loss: loss of 3% or more of baseline weight after 1 year of TU treatment, severe hypogonadism, BMI, waist circumference, International Prostate Symptom Score (IPSS), glycated hemoglobin (HbA1C), age and use of vardenafil. Among the eight measured parameters, three factors were significantly associated with sustained weight loss over the entire period of TU treatment: (1) a loss of 3% of the baseline body weight after 1 year of TRT; (2) baseline BMI over 30; and (3) a waist circumference >102 cm. Age was not a predictor of weight loss.

  6. Factors Predicting Bone Mineral Density (BMD Changes in Young Women over A One-year Study:Changes in Body Weight and Bone Metabolic Markers during the Menstrual Cycle and Their Effects on BMD

    Directory of Open Access Journals (Sweden)

    Iida,Tadayuki

    2012-08-01

    Full Text Available Currently, 26% of Japanese women in their twenties are under weight, and therefore at risk of developing various metabolic abnormalities due to an inadequate nutrient intake, which in turn affects the acquisition of a peak bone mineral density (BMD. In this study, we aimed to clarify the effects of menstrual cycle-related changes in body weight and bone metabolic marker levels on the BMD changes. The subjects were 42 women (19.6±0.8 years. The levels of osteocalcin (OC, BAP, s-NTx, u-DPD, and E2 in the menstrual and ovulatory phases were measured. The associations between dependent variables (BMD changes/year in the lumbar spine, femur, femoral neck and explanatory variables (body weight changes/year, the levels of OC, BAP, s-NTx, u-DPD were evaluated using multiple regression analysis. Analysis of the correlations between the changes in bone metabolic markers and changes in BMD showed a correlation between the OC level in the menstrual phase and changes in the BMD of the entire femur, suggesting that a high OC level protects against BMD reduction, probably by promoting osteoblast activity, and that bone formation activity suppresses the decrease in BMD. These results suggest that, to predict BMD changes from bone metabolic markers in young women, it is necessary to measure OC levels in the menstrual phase.

  7. Role of Diffusion-Weighted Magnetic Resonance Imaging in Predicting Sensitivity to Chemoradiotherapy in Muscle-Invasive Bladder Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Yoshida, Soichiro [Department of Urology, Tokyo Medical and Dental University Graduate School, Tokyo (Japan); Koga, Fumitaka, E-mail: f-koga.uro@tmd.ac.jp [Department of Urology, Tokyo Medical and Dental University Graduate School, Tokyo (Japan); Kobayashi, Shuichiro [Department of Urology, Tokyo Medical and Dental University Graduate School, Tokyo (Japan); Ishii, Chikako; Tanaka, Hiroshi [Department of Radiology, Ochanomizu Surugadai Clinic, Tokyo (Japan); Tanaka, Hajime; Komai, Yoshinobu; Saito, Kazutaka; Masuda, Hitoshi; Fujii, Yasuhisa; Kawakami, Satoru; Kihara, Kazunori [Department of Urology, Tokyo Medical and Dental University Graduate School, Tokyo (Japan)

    2012-05-01

    Purpose: In chemoradiation (CRT)-based bladder-sparing approaches for muscle invasive bladder cancer (MIBC), patients who respond favorably to induction CRT enjoy the benefits of bladder preservation, whereas nonresponders do not. Thus, accurate prediction of CRT sensitivity would optimize patient selection for bladder-sparing protocols. Diffusion-weighted MRI (DW-MRI) is a functional imaging technique that quantifies the diffusion of water molecules in a noninvasive manner. We investigated whether DW-MRI predicts CRT sensitivity of MIBC. Methods and Materials: The study cohort consisted of 23 MIBC patients (cT2/T3 = 7/16) who underwent induction CRT consisting of radiotherapy to the small pelvis (40 Gy) with two cycles of cisplatin (20 mg/day for 5 days), followed by partial or radical cystectomy. All patients underwent DW-MRI before the initiation of treatment. Associations of apparent diffusion coefficient (ADC) values with CRT sensitivity were analyzed. The proliferative potential of MIBC was also assessed by analyzing the Ki-67 labeling index (LI) in pretherapeutic biopsy specimens. Results: Thirteen patients (57%) achieved pathologic complete response (pCR) to CRT. These CRT-sensitive MIBCs showed significantly lower ADC values (median, 0.63 Multiplication-Sign 10{sup -3} mm{sup 2}/s; range, 0.43-0.77) than CRT-resistant (no pCR) MIBCs (median, 0.84 Multiplication-Sign 10{sup -3} mm{sup 2}/s; range, 0.69-1.09; p = 0.0003). Multivariate analysis identified ADC value as the only significant and independent predictor of CRT sensitivity (p < 0.0001; odds ratio per 0.001 Multiplication-Sign 10{sup -3} mm{sup 2}/s increase, 1.03; 95% confidence interval, 1.01-1.08). With a cutoff ADC value at 0.74 Multiplication-Sign 10{sup -3} mm{sup 2}/s, sensitivity/specificity/accuracy in predicting CRT sensitivity was 92/90/91%. Ki-67 LI was significantly higher in CRT-sensitive MIBCs (p = 0.0005) and significantly and inversely correlated with ADC values ({rho} = -0.67, p = 0

  8. During Rapid Weight Loss in Obese Children, Reductions in TSH Predict Improvements in Insulin Sensitivity Independent of Changes in Body Weight or Fat

    NARCIS (Netherlands)

    Aeberli, I.; Jung, A.; Murer, S.B.; Wildhaber, J.; Wildhaber-Brooks, J.; Knopfli, B.H.; Zimmermann, M.B.

    2010-01-01

    Background: Although serum TSH is often elevated in obesity and may be linked to disorders of lipid and glucose metabolism, the clinical relevance of these relationships remains unclear. Subjects: Subjects were obese children and adolescents (n = 206; mean age 14 yr) undergoing rapid weight and fat

  9. Global Integration of the Hot-State Brain Network of Appetite Predicts Short Term Weight Loss in Older Adult

    Directory of Open Access Journals (Sweden)

    Brielle M Paolini

    2015-05-01

    Full Text Available Obesity is a public health crisis in North America. While lifestyle interventions for weight loss (WL remain popular, the rate of success is highly variable. Clearly, self-regulation of eating behavior is a challenge and patterns of activity across the brain may be an important determinant of success. The current study prospectively examined whether integration across the Hot-State Brain Network of Appetite (HBN-A predicts WL after 6-months of treatment in older adults. Our metric for network integration was global efficiency (GE. The present work is a sub-study (n = 56 of an ongoing randomized clinical trial involving WL. Imaging involved a baseline food-cue visualization functional MRI (fMRI scan following an overnight fast. Using graph theory to build functional brain networks, we demonstrated that regions of the HBN-A (insula, anterior cingulate cortex (ACC, superior temporal pole, amygdala and the parahippocampal gyrus were highly integrated as evidenced by the results of a principal component analysis. After accounting for known correlates of WL (baseline weight, age, sex, and self-regulatory efficacy and treatment condition, which together contributed 36.9% of the variance in WL, greater GE in the HBN-A was associated with an additional 19% of the variance. The ACC of the HBN-A was the primary driver of this effect, accounting for 14.5% of the variance in WL when entered in a stepwise regression following the covariates, p = 0.0001. The HBN-A is comprised of limbic regions important in the processing of emotions and visceral sensations and the ACC is key for translating such processing into behavioral consequences. The improved integration of these regions may enhance awareness of body and emotional states leading to more successful self-regulation and to greater WL. This is the first study among older adults to prospectively demonstrate that, following an overnight fast, GE of the HBN-A during a food visualization task is predictive of

  10. PREDICTION OF LIVE BODY WEIGHT FROM LINEAR BODY MEASUREMENTS OF WEST AFRICAN LONG-LEGGED AND WEST AFRICAN DWARF SHEEP IN NORTHERN GHANA

    Directory of Open Access Journals (Sweden)

    P.T. BIRTEEB

    2012-09-01

    Full Text Available The knowledge of live weight of animals is so important in the livestock production and marketing practices that this study was undertaken to develop models for predicting the weight of sheep at market ages. Data comprising of the weight and linear body measurements were collected on the West African Long-Legged (WALL and the West African Dwarf (WAD sheep from Pong-Tamale and subjected to regression analyses. The results revealed that heart girth was the best predictor of liveweight, with prediction accuracies of 92.36% for two years old WALL sheep and 81.20% for one year old WAD sheep, while wither height was the second most important trait in liveweight prediction, in simple linear models. The quadratic models of the single-trait models also had heart girth as the best predictor of liveweight, recording 92.92% accuracy for one year old WALL sheep. Only two traits were mostly required for weight estimation in the multiple-trait models, and the best model was obtained from two years old WALL where heart girth and body length accounted for about 95.53% in prediction accuracy. The multiple-trait quadratic models were generally better in liveweight prediction compared to the respective linear models. Clearly, weight estimation was more accurate among the WALL than the WAD sheep, and also among the younger sheep regardless of the breed. The variations in the models suggest that breed and age of sheep had influence on the type of models required to predict their live body weight.

  11. Improvement of AEP Predictions Using Diurnal CFD Modelling with Site-Specific Stability Weightings Provided from Mesoscale Simulation

    Science.gov (United States)

    Hristov, Y.; Oxley, G.; Žagar, M.

    2014-06-01

    The Bolund measurement campaign, performed by Danish Technical University (DTU) Wind Energy Department (also known as RISØ), provided significant insight into wind flow modeling over complex terrain. In the blind comparison study several modelling solutions were submitted with the vast majority being steady-state Computational Fluid Dynamics (CFD) approaches with two equation k-epsilon turbulence closure. This approach yielded the most accurate results, and was identified as the state-of-the-art tool for wind turbine generator (WTG) micro-siting. Based on the findings from Bolund, further comparison between CFD and field measurement data has been deemed essential in order to improve simulation accuracy for turbine load and long-term Annual Energy Production (AEP) estimations. Vestas Wind Systems A/S is a major WTG original equipment manufacturer (OEM) with an installed base of over 60GW in over 70 countries accounting for 19% of the global installed base. The Vestas Performance and Diagnostic Centre (VPDC) provides online live data to more than 47GW of these turbines allowing a comprehensive comparison between modelled and real-world energy production data. In previous studies, multiple sites have been simulated with a steady neutral CFD formulation for the atmospheric surface layer (ASL), and wind resource (RSF) files have been generated as a base for long-term AEP predictions showing significant improvement over predictions performed with the industry standard linear WAsP tool. In this study, further improvements to the wind resource file generation with CFD are examined using an unsteady diurnal cycle approach with a full atmospheric boundary layer (ABL) formulation, with the unique stratifications throughout the cycle weighted according to mesoscale simulated sectorwise stability frequencies.

  12. Small for gestational age and poor fluid intelligence in childhood predict externalizing behaviors among young adults born at extremely low birth weight.

    Science.gov (United States)

    Lahat, Ayelet; Van Lieshout, Ryan J; Saigal, Saroj; Boyle, Michael H; Schmidt, Louis A

    2015-02-01

    Although infants born at extremely low birth weight (ELBW; birth weight intelligence. As young adults, a subset of ELBW survivors free of major neurosensory impairments provided self-reports of personality characteristics related to psychopathology. Data from 66 participants indicated that, as predicted, the association between ELBW and externalizing behaviors was moderated by fluid intelligence. Specifically, ELBW individuals with poor fluid intelligence who were born small for gestational age (birth weight intelligence might be a cognitive mechanism contributing to the development of psychopathology among nonimpaired individuals who were born at ELBW and small for gestational age.

  13. Using otolith weight to predict the age of Pennahia macrocephalus in the mouth of the Beibu Gulf

    Institute of Scientific and Technical Information of China (English)

    YAN Yunrong; WU Yanfang; LU Huosheng; LI Zhonglu; JIN Xianshi

    2009-01-01

    The relation between otolith weight (OW) and the age of marine fish is studied. A total of 222 individuals of bighead white croaker, Pennahia macrocephalus were sampled seasonally in the mouth of the Beibu Gulf, the South China Sea, in 2007. Since there are no significant differences in sagittal OW between otolith in pairs (P≧>0.05), the undamaged left sagittal otolith is used for age determination. The highest correlations among standard length, OW and fish ages are confirmned by linear, exponential and multinomial regression. Results show that sagittal OW overlaps only occasionally among age groups, and to individuals with similar standard length, the older and slower-growing fish has a heavier otolith because of the continued otolith material deposition. There are differences in sagittal OW among different age groups and significant positive linear relationship with age (P<0.05). The age readings can be verified by plotting the sagittal OW versus the standard length for age groups, and the individuals with similar standard length but in different ages can be separated by sagittal OW frequency analysis. Mostly, the predicted ages using the regression between sagittai OW and ages are closed to the observed ages by counting annulus on scale. It indicates that the sagittal OW analysis is a useful technique for validating the accuracy of age determination by annuli counts, especially for individuals of similar size. Furthermore,the technique is applied for Pennahia macrocephalus with discussion in this paper.

  14. Multi-marker approach using procalcitonin, presepsin, galectin-3, and soluble suppression of tumorigenicity 2 for the prediction of mortality in sepsis.

    Science.gov (United States)

    Kim, Hanah; Hur, Mina; Moon, Hee-Won; Yun, Yeo-Min; Di Somma, Salvatore

    2017-12-01

    Biomarker could be objective and reliable tools to predict mortality in sepsis. We explored the prognostic utilities of emerging biomarkers in septic patients and questioned whether adding biomarkers to the clinical variables would improve the prediction of mortality in sepsis. This retrospective study included 157 septic patients (112 patients with sepsis; 45 patients with septic shock). Procalcitonin (PCT), presepsin, galectin-3, and soluble suppression of tumorigenicity 2 (sST2) concentrations were analyzed in relation to the 30-day all-cause mortality. Their value added on top of Sequential (Sepsis-related) Organ Failure Assessment (SOFA) score, high-sensitivity C-reactive protein, and white blood cells was also analyzed. PCT could not predict 30-day mortality. Univariate hazard ratio [HR with 95% confidence interval (CI)] of the other dichotomized variables was: 1.33 (0.55-3.194) for presepsin; 7.87 (2.29-26.96) for galectin-3; 1.55 (0.71-3.38) for sST2; and 2.18 (1.01-4.75) for SOFA score. The risk of 30-day mortality increased stepwise as the number of biomarkers above optimal cutoff values increased, and the highest risk was observed when all four biomarkers and SOFA score increased (HR = 14.5). Multi-marker approach predicted 30-day mortality better than SOFA score [area under the curves (95% CI), 0.769 (0.695-0.833) vs. 0.615 (0.535-0.692)]. In reclassification analyses, adding biomarkers to clinical variables improved the prediction of mortality. This study demonstrated a possible prognostic utility of PCT, presepsin, galectin-3, and sST2 in sepsis. Multi-marker approach could be beneficial for an optimized management of patients with sepsis.

  15. Comparison of Charlson's weighted index of comorbidities with the chronic health score for the prediction of mortality in septic patients

    Institute of Scientific and Technical Information of China (English)

    Cui Yunliang; Wang Tao; Bao Jun; Tian Zhaotao; Lin Zhaofen; Chen Dechang

    2014-01-01

    Background Comorbidity is one of the most important determinants of short-term and long-term outcomes in septic patients.Charlson's weighted index of comorbidities (WIC) and the chronic health score (CHS),which is a component of the acute physiology and chronic health evaluation (APACHE) Ⅱ,are two frequently-used measures of comorbidity.In this study,we assess the performance of WIC and CHS in predicting the hospital mortality of intensive care unit (ICU) patients with sepsis.Methods A total of 338 adult patients with sepsis were admitted to a multisystem ICU between October 2010 and August 2012.Clinical data were collected,including age,gender,underlying diseases,key predisposing causes,severity-of-sepsis,and hospital mortality.The APACHE Ⅱ,CHS,acute physiology score (APS),sequential organ failure assessment (SOFA) and WIC scores were assessed within the first 24 hours of admission.Univariate and multiple Logistic regression analyses were used to compare the performance of WIC and CHS.The area under the receiver operating characteristic curve (AUC) was used to predict hospital mortality over classes of risk.Results Of all the enrolled patients,224 patients survived and 114 patients died.The surviving patients had significantly lower WIC,CHS,APACHE Ⅱ,and SOFA scores than the non-surviving patients (P <0.05).Combining WIC or CHS with other administrative data showed that the hospital mortality was significantly associated with age,severe sepsis,key predisposing causes such as pneumonia,a history of underlying diseases such as hypertension and congestive cardiac failure,and WIC,CHS and APS scores (P <0.05).The AUC for the hospital mortality were 0.564 (95% confidence interval (Cl) 0.496-0.631) of CHS,0.663 (95% Cl 0.599-0.727) of WIC,0.770 (95% Cl 0.718-0.822) of APACHE Ⅱ,0.856 (95% Cl 0.815-0.897) of the CHS combined with other administrative data,and 0.857 (95% Cl 0.817-0.897) of the WIC combined with other administrative data.The diagnostic

  16. Development and validation of a risk score predicting substantial weight gain over 5 years in middle-aged European men and women.

    Directory of Open Access Journals (Sweden)

    Annika Steffen

    Full Text Available BACKGROUND: Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population. METHODS: We used lifestyle and nutritional data from 53°758 individuals followed for a median of 5.4 years from six centers of the European Prospective Investigation into Cancer and Nutrition (EPIC to develop a risk score to predict substantial weight gain (SWG for the next 5 years (derivation sample. Assuming linear weight gain, SWG was defined as gaining ≥ 10% of baseline weight during follow-up. Proportional hazards models were used to identify significant predictors of SWG separately by EPIC center. Regression coefficients of predictors were pooled using random-effects meta-analysis. Pooled coefficients were used to assign weights to each predictor. The risk score was calculated as a linear combination of the predictors. External validity of the score was evaluated in nine other centers of the EPIC study (validation sample. RESULTS: Our final model included age, sex, baseline weight, level of education, baseline smoking, sports activity, alcohol use, and intake of six food groups. The model's discriminatory ability measured by the area under a receiver operating characteristic curve was 0.64 (95% CI = 0.63-0.65 in the derivation sample and 0.57 (95% CI = 0.56-0.58 in the validation sample, with variation between centers. Positive and negative predictive values for the optimal cut-off value of ≥ 200 points were 9% and 96%, respectively. CONCLUSION: The present risk score confidently excluded a large proportion of individuals from being at any appreciable risk to develop SWG within the next 5 years. Future studies, however, may attempt to further refine the positive prediction of the score.

  17. Reduced brachial flow-mediated vasodilation in young adult ex extremely low birth weight preterm: a condition predictive of increased cardiovascular risk?

    Science.gov (United States)

    Bassareo, P P; Fanos, V; Puddu, M; Demuru, P; Cadeddu, F; Balzarini, M; Mercuro, G

    2010-10-01

    Sporadic data present in literature report how preterm birth and low birth weight constitute the risk factors for the development of cardiovascular diseases in later life. To assess the presence of potential alterations to endothelial function in young adults born preterm at extremely low birth weight (Cesarea, Israel). Endothelial function was significantly reduced in ex-ELBW subjects compared to C (1.94 +/- 0.37 vs. 2.68 +/- 0.41, p < 0.0001). Moreover, this function correlated significantly with gestational age (r = 0.56, p < 0.0009) and birth weight (r = 0.63, p < 0.0001). The results obtained reveal a significant decrease in endothelial function of ex-ELBW subjects compared to controls, underlining a probable correlation with preterm birth and low birth weight. Taken together, these results suggest that an ELBW may underlie the onset of early circulatory dysfunction predictive of increased cardiovascular risk.

  18. Weight change after initiation of oral hypoglycemic monotherapy for diabetes predicts 5-year mortality: An observational study.

    Science.gov (United States)

    Kocarnik, Beverly M; Moore, Kathryn P; Smith, Nicholas L; Boyko, Edward J

    2017-01-01

    To investigate whether weight change in the first year after initiating an oral hypoglycemic agent (OHA) for type 2 diabetes treatment is associated with mortality in a national cohort. We prospectively followed Veterans Health Administration patients with type 2 diabetes initiating treatment with an OHA and not receiving any other diabetes pharmacotherapy for at least one year. Information on OHAs, weight, co-morbidities, other medications, demographics, and laboratory measurements was obtained from electronic medical records. Logistic regression was used to estimate 5-year mortality odds by weight change during the first year after OHA treatment initiation. Patients (mean age 65years, 97% male, mean BMI 32.3kg/m(2)) initiating OHA monotherapy between 2003 and 2008 totaled 145,198 (metformin n=89,111, glipizide n=27,100, glyburide n=25,226, rosiglitazone n=3,761). Most patients (65%) maintained a stable weight (change ⩽5% from baseline) during the first year after OHA initiation. Those losing >5% of baseline weight had a significantly higher odds of death over the subsequent 5-years ranging from 1.64 to 2.13 depending on OHA type. In the metformin group, weight gain >5% of baseline was also associated with higher odds of 5-year mortality. The same results were obtained after conducting three sensitivity analyses that excluded patients for the following reasons: weight loss in the one year prior to OHA initiation, weight change >100lbs, or weight change >50lbs. Weight loss was associated with higher odds of 5-year mortality among patients initiating an OHA, as was weight gain for metformin only. Published by Elsevier B.V.

  19. The role of an acute pasireotide suppression test in predicting response to treatment in patients with Cushing's disease: findings from a pilot study.

    Science.gov (United States)

    Trementino, L; Zilio, M; Marcelli, G; Michetti, G; Barbot, M; Ceccato, F; Boscaro, M; Scaroni, C; Arnaldi, G

    2015-09-01

    Pasireotide is a multireceptor-targeted somatostatin analog effective in the treatment of Cushing's disease (CD). We evaluate the value of an acute pasireotide suppression test (PST) in predicting response to medium/long-term treatment in CD. Nineteen patients with active CD were prospectively investigated at two referral centers from May 2013 to August 2014. Follow-up data (median 6 months; range 1-9 months) were available for sixteen patients. All patients received at 09:00 h a single subcutaneous (sc) injection of 600 μg pasireotide. Serum cortisol and plasma ACTH were assessed before, and every 2 h for 8 h after, drug administration. Late-night salivary cortisol (LNSC) was assessed before and after pasireotide administration. After acute PST, all patients were continued on pasireotide 600 μg sc twice a day. During PST, cortisol and ACTH levels quickly decreased in all patients except one with a mean percentage fall, respectively, of 48.9 ± 24.3 and 48.1 ± 25.4 % compared to baseline. LNSC decreased in about 82 % of patients (14/17) achieving a normalization in five of them. Pasireotide treatment was associated with a normalization of 24-h urinary-free cortisol at last follow-up in about 68 % of patients. A fall >27 % of LNSC during PST calculated by ROC curve was the best parameter in predicting a positive response to treatment with pasireotide (sensitivity 91 %; specificity 100 %; positive predictive value 100 %; negative predictive value 75 %). Acute PST may be useful to identify CD patients who will benefit from pasireotide treatment. A LNSC fall >27 % as well as a LNSC normalization during PST is associated with a probability of 100 % of achieving a favorable response to pasireotide treatment in the medium/long term.

  20. [Improved weighted cross-correlation coefficient with a new kernel and its application in predicting T cell epitopes].

    Science.gov (United States)

    Huang, Jing; Ma, Jian-hua; Liu, Nan; Qian, Shan-shan

    2010-10-01

    We designed a weighted cross-correlation coefficient considering the "anchor" of the T cell epitopes, and used an evolutionary algorithm to search for an optimal weight vector. A SVM model with this new peptide similarity kernel was evaluated on a T-cell data set. The results demonstrated a good performance of this method.

  1. The impact of adjustment of a weight-height index (W/H2) for frame size on the prediction of body fatness.

    Science.gov (United States)

    Rookus, M A; Burema, J; Deurenberg, P; Van der Wiel-Wetzels, W A

    1985-09-01

    The impact of frame-size categories in weight-height tables was studied by comparing the efficiency of the body-mass index (weight/height2 (W/H2] and weight adjusted for body-height and a body-diameter, W/(H2Dp), in predicting body fatness. Body-weight, body-height, six body-diameters and four skinfold thicknesses were measured in ninety-five men and seventy women, aged between 23 and 35 years. Percentage of body fat was calculated from skinfold thicknesses using regression equations according to Durnin & Womersley (1974). The inclusion of a body-diameter increased the explained variation of body fatness from 57% to 62% (knee) and 63% (shoulder) in men and from 63% to 69% (knee) in women. It can be concluded that in the present population the efficiency of the prediction of percentage of body fat was not improved markedly by the inclusion of a body-diameter in the body-mass index, thus giving no support for the inclusion of frame-size categories in weight-height tables.

  2. Low insulin resistance after surgery predicts poor GH suppression one year after complete resection for acromegaly: a retrospective study.

    Science.gov (United States)

    Edo, Naoki; Morita, Koji; Suzuki, Hisanori; Takeshita, Akira; Miyakawa, Megumi; Fukuhara, Noriaki; Nishioka, Hiroshi; Yamada, Shozo; Takeuchi, Yasuhiro

    2016-05-31

    Remission of acromegaly is defined as a nadir in GH GH nadir (GH nadir of 0.4-1.0 ng/mL one year after complete resection of GH-secreting pituitary adenoma (GHoma). We included 110 cases of acromegaly with complete adenoma resection, no preoperative treatment, preoperative glycosylated hemoglobin GH nadir GH nadir GH (GH nadir >0.4 ng/mL). Clinical parameters, including measures of insulin secretion and resistance, were compared between groups. The high GH group included 10 patients (9.1%) and had a lesser level of insulin resistance immediately following surgery and at the first postoperative year evaluation. On single regression analysis, insulin resistance immediately following surgery was predictive of and correlated with the GH nadir at the first postoperative year evaluation. The GH nadir at the first postoperative year evaluation may be insufficient in patients with normalized IGF-1 with low insulin resistance immediately following complete resection of GHoma. Careful evaluation is needed to assess remission in such patients.

  3. Predicted implications of using percentage weight gain as single discharge criterion in management of acute malnutrition in rural southern Ethiopia.

    Science.gov (United States)

    Forsén, Emmanuel; Tadesse, Elazar; Berhane, Yemane; Ekström, Eva-Charlotte

    2015-10-01

    Mid-upper arm circumference (MUAC) is increasingly used in identifying and admitting children with acute malnutrition for treatment. It is easy to use because it does not involve height assessment, but its use calls for alternative discharge criteria. This study examined how use of percentage weight gain as discharge criterion would affect the nutritional status of children admitted into a community-based management programme for acute malnutrition in rural southern Ethiopia. Non-oedematous children (n = 631) aged 6-59 months and having a MUAC of weight was added to admission weight and their nutritional status by weight-for-height z-score (WHZ) was determined at each target. Moderate and severe wasting according to World Health Organization WHZ definitions was used as outcome. Applying the most commonly recommended target of 15% weight gain resulted in 9% of children with admission MUAC weight gain was sufficient to generate a similar result. Children failing to recover were the ones with the poorest nutritional status at admission. Increasing the percentage weight gain targets in the two groups to 20% and 15%, respectively, would largely resolve wasting but likely lead to increased programme costs by keeping already recovered children in the programme. Further research is needed on appropriate discharge procedures in programmes using MUAC for screening and admission. © 2013 John Wiley & Sons Ltd.

  4. Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling.

    Science.gov (United States)

    Guri, Pardeep Kumar; Ray, P K Champati; Patel, Ramesh Chandra

    2015-06-01

    Garhwal Himalaya in northern India has emerged as one of the most prominent hot spots of landslide occurrences in the Himalaya mainly due to geological causes related to mountain building processes, steep topography and frequent occurrences of extreme precipitation events. As this region has many pilgrimage and tourist centres, it is visited by hundreds of thousands of people every year, and in the recent past, there has been rapid development to provide adequate roads and building infrastructure. Additionally, attempts are also made to harness hydropower by constructing tunnels, dams and reservoirs and thus altering vulnerable slopes at many places. As a result, the overall risk due to landslide hazards has increased many folds and, therefore, an attempt was made to assess landslide susceptibility using 'Weights of Evidence (WofE)', a well-known bivariate statistical modelling technique implemented in a much improved way using remote sensing and Geographic Information System. This methodology has dual advantage as it demonstrates how to derive critical parameters related to geology, geomorphology, slope, land use and most importantly temporal landslide distribution in one of the data scarce region of the world. Secondly, it allows to experiment with various combination of parameters to assess their cumulative effect on landslides. In total, 15 parameters related to geology, geomorphology, terrain, hydrology and anthropogenic factors and 2 different landslide inventories (prior to 2007 and 2008-2011) were prepared from high-resolution Indian remote sensing satellite data (Cartosat-1 and Resourcesat-1) and were validated by field investigation. Several combinations of parameters were carried out using WofE modelling, and finally using best combination of eight parameters, 76.5 % of overall landslides were predicted in 24 % of the total area susceptible to landslide occurrences. The study has highlighted that using such methodology landslide susceptibility assessment

  5. Attachment anxiety predicts poor adherence to dietary recommendations : an indirect effect on weight change one year after gastric bypass surgery

    NARCIS (Netherlands)

    Aarts, F.; Geenen, R.; Gerdes, V.E.A.; Van de Laar, A., A.; Brandjes, D.P.M.; Hinnen, C.

    BACKGROUND: Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1)

  6. Attachment Anxiety Predicts Poor Adherence to Dietary Recommendations : an Indirect Effect on Weight Change 1 Year After Gastric Bypass Surgery

    NARCIS (Netherlands)

    Aarts, Floor; Geenen, Rinie; Gerdes, Victor E. A.; van de Laar, Arnold; Brandjes, Dees P. M.; Hinnen, Chris

    Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1) whether

  7. Predictive force programming in the grip-lift task: the role of memory links between arbitrary cues and object weight.

    Science.gov (United States)

    Ameli, Mitra; Dafotakis, Manuel; Fink, Gereon R; Nowak, Dennis A

    2008-01-01

    We tested the ability of healthy participants to learn an association between arbitrary sensory cues and the weight of an object to be lifted using a precision grip between the index finger and thumb. Right-handed participants performed a series of grip-lift tasks with each hand. In a first experiment, participants lifted two objects of equal visual appearance which unexpectedly and randomly changed their weight. In two subsequent experiments, the change in object weight was indicated by cues, which were presented (i) visually or (ii) auditorily. When no cue about the weight of the object to be lifted was presented, participants programmed grip force according to the most recent lift, regardless of the hand used. In contrast, participants were able to rapidly establish an association between a particular sensory cue with a given weight and scaled grip force precisely to the actual weight thereafter, regardless of the hand used or the sensory modality of the cue. We discuss our data within the theoretical concept of internal models.

  8. Pre-transplant weight loss predicts inferior outcome after allogeneic stem cell transplantation in patients with myelodysplastic syndrome.

    Science.gov (United States)

    Radujkovic, Aleksandar; Becker, Natalia; Benner, Axel; Penack, Olaf; Platzbecker, Uwe; Stölzel, Friedrich; Bornhäuser, Martin; Hegenbart, Ute; Ho, Anthony D; Dreger, Peter; Luft, Thomas

    2015-10-27

    Allogeneic stem cell transplantation (alloSCT) represents a curative therapeutic option for patients with myelodysplastic syndrome (MDS), but relapse and non-relapse mortality (NRM) limit treatment efficacy. Based on our previous observation in acute myeloid leukemia we investigated the impact of pre-transplant weight loss on post-transplant outcome in MDS patients. A total of 111 patients diagnosed with MDS according to WHO criteria transplanted between 2000 and 2012 in three different transplant centers were included into the analysis. Data on weight loss were collected from medical records prior to conditioning therapy and 3-6 months earlier. Patient, disease and transplant characteristics did not differ between patients with weight loss (2-5%, n = 17; > 5%, n = 17) and those without (n = 77). In a mixed effect model, weight loss was associated with higher risk MDS (p = 0.046). In multivariable analyses, pre-transplant weight loss exceeding 5% was associated with a higher incidence of relapse (p transplant weight loss of 2-5% and > 5% were independent predictors of worse disease-free (p = 0.023 and p transplantation. Prospective studies addressing pre-transplant nutritional interventions are highly warranted.

  9. Low molecular weight heparin suppresses receptor for advanced glycation end products-mediated expression of malignant phenotype in human fibrosarcoma cells.

    Science.gov (United States)

    Takeuchi, Akihiko; Yamamoto, Yasuhiko; Munesue, Seiichi; Harashima, Ai; Watanabe, Takuo; Yonekura, Hideto; Yamamoto, Hiroshi; Tsuchiya, Hiroyuki

    2013-06-01

    The receptor for advanced glycation end products (RAGE) is a pattern-recognition receptor and its engagement by ligands such as high mobility group box 1 (HMGB1) is implicated in tumor growth and metastasis. Low molecular weight heparin (LMWH) has an antagonistic effect on the RAGE axis and is also reported to exert an antitumor effect beyond the known activity of anticoagulation. However, the link between the anti-RAGE and antitumor activities of LMWH has not yet to be fully elucidated. In this study, we investigated whether LMWH could inhibit tumor cell proliferation, invasion, and metastasis by blocking the RAGE axis using in vitro and in vivo assay systems. Stably transformed HT1080 human fibrosarcoma cell lines were obtained, including human full-length RAGE-overexpressing (HT1080(RAGE)), RAGE dominant-negative, intracellular tail-deleted RAGE-overexpressing (HT1080(dnRAGE)), and mock-transfected control (HT1080(mock)) cells. Confocal microscopy showed the expression of HMGB1 and RAGE in HT1080 cells. The LMWH significantly inhibited HMGB1-induced NFκB activation through RAGE using an NFκB-dependent luciferase reporter assay and the HT1080 cell lines. Overexpression of RAGE significantly accelerated, but dnRAGE expression attenuated HT1080 cell proliferation and invasion in vitro, along with similar effects on local tumor mass growth and lung metastasis in vivo. Treatment with LMWH significantly inhibited the migration, invasion, tumor formation, and lung metastasis of HT1080(RAGE) cells, but not of HT1080(mock) or HT1080(dnRAGE) cells. In conclusion, this study revealed that RAGE exacerbated the malignant phenotype of human fibrosarcoma cells, and that this exacerbation could be ameliorated by LMWH. It is suggested that LMWH has therapeutic potential in patients with certain types of malignant tumors. © 2013 Japanese Cancer Association.

  10. Predicting viral protein subcellular localization with Chou's pseudo amino acid composition and imbalance-weighted multi-label K-nearest neighbor algorithm.

    Science.gov (United States)

    Cao, Jun-Zhe; Liu, Wen-Qi; Gu, Hong

    2012-11-01

    Machine learning is a kind of reliable technology for automated subcellular localization of viral proteins within a host cell or virus-infected cell. One challenge is that the viral protein samples are not only with multiple location sites, but also class-imbalanced. The imbalanced dataset often decreases the prediction performance. In order to accomplish this challenge, this paper proposes a novel approach named imbalance-weighted multi-label K-nearest neighbor to predict viral protein subcellular location with multiple sites. The experimental results by jackknife test indicate that the presented algorithm achieves a better performance than the existing methods and has great potentials in protein science.

  11. Reduction in energy expenditure during weight loss is higher than predicted based on fat free mass and fat mass in older adults.

    Science.gov (United States)

    Ten Haaf, Twan; Verreijen, Amely M; Memelink, Robert G; Tieland, Michael; Weijs, Peter J M

    2016-12-23

    The aim of this study was to describe a decrease in resting energy expenditure during weight loss that is larger than expected based on changes in body composition, called adaptive thermogenesis (AT), in overweight and obese older adults. Multiple studies were combined to assess AT in younger and older subjects. Body composition and resting energy expenditure (REE) were measured before and after weight loss. Baseline values were used to predict fat free mass and fat mass adjusted REE after weight loss. AT was defined as the difference between predicted and measured REE after weight loss. The median age of 55 y was used as a cutoff to compare older with younger subjects. The relation between AT and age was investigated using linear regression analysis. In this study 254 (M = 88, F = 166) overweight and obese subjects were included (BMI: 31.7 ± 4.4 kg/m(2), age: 51 ± 14 y). The AT was only significant for older subjects (64 ± 185 kcal/d, 95% CI [32, 96]), but not for younger subjects (19 ± 152 kcal/d, 95% CI [-9, 46]). The size of the AT was significantly higher for older compared to younger adults (β = 47, p = 0.048), independent of gender and type and duration of the weight loss program. We conclude that adaptive thermogenesis is present only in older subjects, which might have implications for weight management in older adults. A reduced energy intake is advised to counteract the adaptive thermogenesis. Copyright © 2016. Published by Elsevier Ltd.

  12. Can weight/length relationship predict size at first maturity? A case study with two species of Characidae

    Directory of Open Access Journals (Sweden)

    Nelson F. Fontoura

    2010-01-01

    Full Text Available A weight/length relationship was established for Astyanax jacuhiensis (Cope, 1894 (n = 370 and Cheirodon ibicuhiensis Eigenmann, 1915 (n = 701, from samples taken monthly in Fortaleza Lagoon, Cidreira, Rio Grande do Sul, from December 1991 through November 1992. Both species showed a polyphasic allometric growth pattern, each stanza described by an independent power equation controlled by a switch function. For C. ibicuhiensis, this change in the growth pattern occurred at 2.948 cm standard length (SL, close to published sizes for the attainment of female maturity. The change in the growth pattern of A. jacuhiensis (SL = 3.481 cm was below the predicted size at first maturity, and merits further investigation. Although not conclusive, our data suggest that a complex growth pattern is frequent in nature, and perhaps is not usually identified because trends are obscured by natural variability. Despite the increased complexity resulting from the application of a more-complex equation, the identification of a change in the growth pattern could indicate important aspects of fish biology, including the attainment of sexual maturity.A relação peso/comprimento para Astyanax jacuhiensis (Cope, 1894 (n = 370 e Cheirodon ibicuhiensis Eigenmann, 1915 (n = 701 foi estimada a partir de amostras mensais efetuadas na lagoa Fortaleza, Cidreira, Rio Grande do Sul (dezembro de 1991 a novembro de 1992. As espécies analisadas apresentaram padrão de crescimento alométrico polifásico, sendo cada fase descrita por uma equação potência independente controlada por uma função interruptora. Para C. ibicuhiensis foi identificada uma modificação no padrão de crescimento com 2,948 cm de comprimento padrão (CP, valor próximo à dados publicados relativos ao início da maturação sexual. A alteração observada no padrão de crescimento de A. jacuhiensis (CP = 3,481 cm encontra-se abaixo do tamanho previsto para a primeira maturação e sugere a necessidade de

  13. Explorative study on the predictive value of systematic inflammatory and metabolic markers on weight loss in head and neck cancer patients undergoing radiotherapy.

    Science.gov (United States)

    Ehrsson, Ylva Tiblom; Hellström, Per M; Brismar, Kerstin; Sharp, Lena; Langius-Eklöf, Ann; Laurell, Göran

    2010-11-01

    This study aimed to explore the predictive value of systematic inflammatory and metabolic markers in head and neck (H&N) cancer patients during radiotherapy (RT). Twenty-seven patients were evaluated. The protocol included serial blood tests [highly sensitive C-reactive protein (hsCRP), albumin, insulin-like growth factor 1 (IGF-1), IGF binding protein 1 (IGFBP-1) and ghrelin], measurements of body weight and assessment of oral mucositis. The mean nadir of weight loss was observed at the end of RT. At the time of diagnosis, mean hsCRP was 5.2 ± 1.0 mg/L. HsCRP significantly increased during RT and decreased during the post-RT period. Mean maximum hsCRP was 35.8 ± 8.5 mg/L, with seven patients reaching >40 mg/L. A numerical decrease of albumin (by 18.2%) and only small changes in IGF-1, IGFBP-1 and ghrelin levels were observed. None of the metabolic parameters was significantly associated with weight loss. HsCRP increased in response to RT for H&N cancer as a sign of irradiation-induced inflammation. Weight loss was not preceded by changes of the metabolic parameters, indicating that assessment of the blood markers used in this study is of little value. Regular body weight measurement and assessment of oral mucositis are feasible, cheap and important procedures to control the metabolic homeostasis during RT.

  14. Suppressed Belief

    Directory of Open Access Journals (Sweden)

    Komarine Romdenh-Romluc

    2009-12-01

    Full Text Available Moran’s revised conception of conscious belief requires us to reconceptualise suppressed belief. The work of Merleau-Ponty offers a way to do this. His account of motor-skills allows us to understand suppressed beliefs as pre-reflective ways of dealing with the world.

  15. The interplay of birth weight, dopamine receptor D4 gene (DRD4), and early maternal care in the prediction of disorganized attachment at 36 months of age.

    Science.gov (United States)

    Wazana, Ashley; Moss, Ellen; Jolicoeur-Martineau, Alexis; Graffi, Justin; Tsabari, Gal; Lecompte, Vanessa; Pascuzzo, Katherine; Babineau, Vanessa; Gordon-Green, Cathryn; Mileva, Viara; Atkinson, Leslie; Minde, Klaus; Bouvette-Turcot, André Anne; Sassi, Roberto; St-André, Martin; Carrey, Normand; Matthews, Stephen; Sokolowski, Marla; Lydon, John; Gaudreau, Helene; Steiner, Meir; Kennedy, James L; Fleming, Alison; Levitan, Robert; Meaney, Michael J

    2015-11-01

    Disorganized attachment is an important early risk factor for socioemotional problems throughout childhood and into adulthood. Prevailing models of the etiology of disorganized attachment emphasize the role of highly dysfunctional parenting, to the exclusion of complex models examining the interplay of child and parental factors. Decades of research have established that extreme child birth weight may have long-term effects on developmental processes. These effects are typically negative, but this is not always the case. Recent studies have also identified the dopamine D4 receptor (DRD4) as a moderator of childrearing effects on the development of disorganized attachment. However, there are inconsistent findings concerning which variant of the polymorphism (seven-repeat long-form allele or non-seven-repeat short-form allele) is most likely to interact with caregiving in predicting disorganized versus organized attachment. In this study, we examined possible two- and three-way interactions and child DRD4 polymorphisms and birth weight and maternal caregiving at age 6 months in longitudinally predicting attachment disorganization at 36 months. Our sample is from the Maternal Adversity, Vulnerability and Neurodevelopment project, a sample of 650 mother-child dyads. Birth weight was cross-referenced with normative data to calculate birth weight percentile. Infant DRD4 was obtained with buccal swabs and categorized according to the presence of the putative allele seven repeat. Macroanalytic and microanalytic measures of maternal behavior were extracted from a videotaped session of 20 min of nonfeeding interaction followed by a 10-min divided attention maternal task at 6 months. Attachment was assessed at 36 months using the Strange Situation procedure, and categorized into disorganized attachment and others. The results indicated that a main effect for DRD4 and a two-way interaction of birth weight and 6-month maternal attention (frequency of maternal looking away

  16. Attachment anxiety predicts poor adherence to dietary recommendations : an indirect effect on weight change 1 year after gastric bypass surgery

    NARCIS (Netherlands)

    Hinnen, C.; Aarts, F.; Geenen, R.

    2014-01-01

    BACKGROUND: Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1) whe

  17. Low goal ownership predicts drop-out from a weight intervention study in overweight patients with type 2 diabetes.

    Science.gov (United States)

    Huisman, Sasja; Maes, Stan; De Gucht, Véronique J; Chatrou, Marlène; Haak, Harm R

    2010-09-01

    Drop-out is a major problem in weight loss studies. Although previous attrition research has examined some predictors of drop-out, theoretically grounded research on psychological predictors of drop-out from weight interventions has been lacking. To examine psychological predictors of drop-out from a weight reduction study in diabetes type 2 patients. A clinical trial was conducted with 101 overweight/obese (body mass index >27) diabetes type 2 patients. Patients were randomly assigned to a self-regulation intervention, an active control group, and a passive control group. Psychological, somatic, socio-demographic, and lifestyle variables were examined as predictors of drop-out from baseline to 6 months follow-up. Multiple logistic regression analysis indicated that low autonomous regulation or low 'goal ownership' was the best predictor of drop-out. It is suggested that the assessment of 'goal ownership' prior to a weight reduction intervention could identify patients who are sufficiently motivated to participate. Patients who score low on 'goal ownership' may be offered pretreatment interventions to increase their motivation.

  18. Attachment Anxiety Predicts Poor Adherence to Dietary Recommendations : an Indirect Effect on Weight Change 1 Year After Gastric Bypass Surgery

    NARCIS (Netherlands)

    Aarts, Floor; Geenen, Rinie; Gerdes, Victor E. A.; van de Laar, Arnold; Brandjes, Dees P. M.; Hinnen, Chris

    2015-01-01

    Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1) whether attachm

  19. Attachment anxiety predicts poor adherence to dietary recommendations : an indirect effect on weight change one year after gastric bypass surgery

    NARCIS (Netherlands)

    Aarts, F.; Geenen, R.; Gerdes, V.E.A.; Van de Laar, A., A.; Brandjes, D.P.M.; Hinnen, C.

    2015-01-01

    BACKGROUND: Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1) whe

  20. Temporal Lobe Reactions After Carbon Ion Radiation Therapy: Comparison of Relative Biological Effectiveness–Weighted Tolerance Doses Predicted by Local Effect Models I and IV

    Energy Technology Data Exchange (ETDEWEB)

    Gillmann, Clarissa, E-mail: clarissa.gillmann@med.uni-heidelberg.de [Department of Radiation Oncology and Radiation Therapy, Heidelberg University Hospital, Heidelberg (Germany); Jäkel, Oliver [Department of Radiation Oncology and Radiation Therapy, Heidelberg University Hospital, Heidelberg (Germany); Heidelberg Ion Beam Therapy Center (HIT), Heidelberg (Germany); Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg (Germany); Schlampp, Ingmar [Department of Radiation Oncology and Radiation Therapy, Heidelberg University Hospital, Heidelberg (Germany); Karger, Christian P. [Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg (Germany)

    2014-04-01

    Purpose: To compare the relative biological effectiveness (RBE)–weighted tolerance doses for temporal lobe reactions after carbon ion radiation therapy using 2 different versions of the local effect model (LEM I vs LEM IV) for the same patient collective under identical conditions. Methods and Materials: In a previous study, 59 patients were investigated, of whom 10 experienced temporal lobe reactions (TLR) after carbon ion radiation therapy for low-grade skull-base chordoma and chondrosarcoma at Helmholtzzentrum für Schwerionenforschung (GSI) in Darmstadt, Germany in 2002 and 2003. TLR were detected as visible contrast enhancements on T1-weighted MRI images within a median follow-up time of 2.5 years. Although the derived RBE-weighted temporal lobe doses were based on the clinically applied LEM I, we have now recalculated the RBE-weighted dose distributions using LEM IV and derived dose-response curves with Dmax,V-1 cm³ (the RBE-weighted maximum dose in the remaining temporal lobe volume, excluding the volume of 1 cm³ with the highest dose) as an independent dosimetric variable. The resulting RBE-weighted tolerance doses were compared with those of the previous study to assess the clinical impact of LEM IV relative to LEM I. Results: The dose-response curve of LEM IV is shifted toward higher values compared to that of LEM I. The RBE-weighted tolerance dose for a 5% complication probability (TD{sub 5}) increases from 68.8 ± 3.3 to 78.3 ± 4.3 Gy (RBE) for LEM IV as compared to LEM I. Conclusions: LEM IV predicts a clinically significant increase of the RBE-weighted tolerance doses for the temporal lobe as compared to the currently applied LEM I. The limited available photon data do not allow a final conclusion as to whether RBE predictions of LEM I or LEM IV better fit better clinical experience in photon therapy. The decision about a future clinical application of LEM IV therefore requires additional analysis of temporal lobe reactions in a

  1. Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury

    Energy Technology Data Exchange (ETDEWEB)

    Zheng, W.B.; Liu, G.R.; Wu, R.H. [Shantou University Medical College, Department of Radiology, Second Hospital, Shantou, Guangdong (China); Li, L.P. [Shantou University Medical College, Injury Prevention Research Center, Shantou, Guangdong (China)

    2007-03-15

    To determine whether diffusion-weighted magnetic resonance (MR) imaging findings combined with initial clinical factors indicate the depth of shearing lesions in the brain structure and therefore relate to coma duration in diffuse axonal injury (DAI). A total of 74 adult patients (48 male and 26 female) with DAI were examined with conventional MR imaging and diffusion-weighted MR imaging between 2 hours and 20 days after injury. Apparent diffusion coefficient (ADC) maps were obtained and the mean ADC values of each region of interest (ROI) were measured using MRI console software. The involvement of the brainstem, deep gray matter, and corpus callosum was determined for each sequence separately as well as for the combination of all sequences. The correlations between MR imaging findings indicating the presence of apparent brain injury combined with initial clinical factors were determined. Clinical characteristics, such as initial score on the Glasgow coma scale (GCS), age and number of all lesions, and ADC scores were predictive of the duration of coma. It was possible to predict post-traumatic coma duration in DAI from cerebral MR imaging findings combined with clinical prognostic factors in the acute to subacute stage after head injury. Age, ADC scores, GCS score and number of lesions were highly significant in predicting coma duration. The technique presented here might provide a tool for in vivo detection of DAI to allow the prediction of the coma duration during the early stages in patients with traumatic brain injury. (orig.)

  2. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

    Science.gov (United States)

    Andersson, Jesper L.R.; Sotiropoulos, Stamatios N.

    2015-01-01

    Diffusion MRI offers great potential in studying the human brain microstructure and connectivity. However, diffusion images are marred by technical problems, such as image distortions and spurious signal loss. Correcting for these problems is non-trivial and relies on having a mechanism that predicts what to expect. In this paper we describe a novel way to represent and make predictions about diffusion MRI data. It is based on a Gaussian process on one or several spheres similar to the Geostatistical method of “Kriging”. We present a choice of covariance function that allows us to accurately predict the signal even from voxels with complex fibre patterns. For multi-shell data (multiple non-zero b-values) the covariance function extends across the shells which means that data from one shell is used when making predictions for another shell. PMID:26236030

  3. MR质子压脂对膝关节半月板损伤的诊断价值探讨%Diagnostic Value of Fat Suppressed-Proton Density-Weighted Imaging to Knee Meniscus Injuries

    Institute of Scientific and Technical Information of China (English)

    吴婧; 卢铃铨; 顾建平; 殷信道

    2013-01-01

    目的 通过对比磁共振质子压脂成像(Fat Suppressed-Proton Density-Weighted Imaging,FSPDWI)和关节镜对膝关节半月板损伤的检查结果,分析膝关节半月板损伤的磁共振质子压脂成像表现并评价其临床应用价值.方法 回顾性分析80例患者(88膝)半月板病变的磁共振质子压脂和关节镜表现.所有患者均接受MRI检查及关节镜检查,以关节镜检查结果作为诊断的金标准.在MRI图像上按照形态分型和损伤部位划分,并与关节镜下表现进行对比分析.结果 FS-PDWI对诊断半月板撕裂的灵敏度为97.4%,特异度为75%.结论 FS-PDWI在膝关节半月板损伤的临床诊断方面具有重要价值,可用于膝关节半月板损伤的常规检查手段.%Objective To investigate the value of FS-PDWI(fat suppressed-proton density-weighted imaging ) sequence in knee meniscus injuries by comparing the results of FS-PDWI and arthroscopic examination of the knee meniscus. Methods MRI and athroscopic imaging of 80 patients(88knees) were retrospectively analyzed. The meniscus injuries were classified according to the signal intensities of meniscus on MR images. Later the MRI features were compared with arthroscopic imaging which was regarded as the gold standard of the diagnosis. Results The rate of sensitivity and specificity of FS-PDWI for the tear of meniscus was 94.7% and 75%. Conclusion FS-PDWI is of important clinical value in the diagnosis and review of meniscus injuries of the knee joint, which can be used as a routine method in the knee joint injury.

  4. Neocortical serotonin2A receptor binding predicts quetiapine associated weight gain in antipsychotic-naive first-episode schizophrenia patients

    DEFF Research Database (Denmark)

    Rasmussen, Hans; Ebdrup, Bjørn H; Oranje, B

    2014-01-01

    Antipsychotic-induced weight gain is of major clinical importance since it is associated with severe metabolic complications and increased mortality. The serotonin2A receptor system has been suggested to be implicated in weight gain and obesity. However, no previous in vivo imaging data have...... binding as measured with positron emission tomography (PET) and [18F]altanserin and change in body mass index (BMI). Quetiapine was chosen because it is characterized by a moderately high affinity for the serotonin2A receptor and a fast dissociation rate from the dopamine D2 receptor. At baseline the mean...... to treatment and subsequent increase in BMI (rho = 0.59, p = 0.022). At follow-up, the serotonin2A receptor occupancy was positively correlated with BMI increase (rho = 0.54, p = 0.038). To our knowledge, these are the first in vivo receptor imaging data in initially antipsychotic-naive first...

  5. The Food Craving Questionnaire-Trait in a bariatric surgery seeking population and ability to predict post-surgery weight loss at six months.

    Science.gov (United States)

    Crowley, Nina M; LePage, Marie L; Goldman, Rachel L; O'Neil, Patrick M; Borckardt, Jeffrey J; Byrne, T Karl

    2012-12-01

    Food cravings have been understudied in bariatric surgery patients and the Food Craving Questionnaire-Trait has not been validated in this population. Reliability and validity of the FCQ-T were examined and a regression analysis was run to determine whether or not preoperative scores on individual subscales of the instrument could predict weight loss at 6 months. The FCQ-T demonstrated excellent internal consistency in bariatric surgery-seeking patients, and individual subscales measuring emotion and mood were correlated with other measures of depression and anxiety. Endorsement of binge eating or emotional eating behaviors during a clinical interview was correlated with similar subscales on the FCQ-T. Higher scores on the subscale 'cues that may trigger food cravings' were associated with greater weight loss at 6 months post-surgery and higher scores on the subscale 'guilt from cravings and/or giving into them' was associated with less weight loss. Management of external cues may predict successful outcomes while emotional impact of cravings may indicate the need for further intervention to help manage specific food craving traits.

  6. Short tau inversion recovery and proton density-weighted fat suppressed sequences for the evaluation of osteoarthritis of the knee with a 1.0 T dedicated extremity MRI: development of a time-efficient sequence protocol

    Energy Technology Data Exchange (ETDEWEB)

    Roemer, Frank W. [University of California, Osteoporosis and Arthritis Research Group, Department of Radiology, San Francisco, CA (United States); Klinikum Augsburg, Department of Radiology, Augsburg (Germany); Guermazi, Ali; Genant, Harry K. [University of California, Osteoporosis and Arthritis Research Group, Department of Radiology, San Francisco, CA (United States); Synarc, Inc, San Francisco, CA (United States); Lynch, John A.; Li, Jing [University of California, Osteoporosis and Arthritis Research Group, Department of Radiology, San Francisco, CA (United States); Peterfy, Charles G. [Synarc, Inc, San Francisco, CA (United States); Nevitt, Michael C. [University of California, Department of Epidemiology and Biostatistics, San Francisco, CA (United States); Webb, Nita [University of Alabama at Birmingham, Division of Preventive Medicine, Birmingham, AL (United States); Mohr, Andreas [University of California, Osteoporosis and Arthritis Research Group, Department of Radiology, San Francisco, CA (United States); University of Schleswig-Holstein, Department of Radiology, Kiel (Germany); Felson, David T. [Boston University School of Medicine, Clinical Epidemiology Unit, Boston, MA (United States)

    2005-05-01

    Aim of this study was to develop a time-efficient sequence protocol for a 1.0 T dedicated MR system to be used for whole-organ scoring of osteoarthritis (OA). Thirty-four knees were examined using a protocol that included fat suppressed fast spin echo proton density weighted sequences (PDFS) in three planes plus a coronal STIR sequence. Two radiologists scored each knee by consensus for five OA features. In separate sessions, all knees were scored using three different combinations of sequences: (1) all four sequences (reference protocol, 16 min 31 s scanning time), (2) three PDFS sequences without STIR (''No STIR'', 12 min 25 s scanning time) and (3) sagittal and axial PDFS sequences plus a coronal STIR sequence (''No PDFS'', 11 min 49 s scanning time). Agreement of the readings using both subsets of sequences compared to the reference protocol was evaluated using weighted kappa statistics. {kappa}-coefficients showed good or excellent agreement for both sequence subsets in comparison to the reference protocol for all assessed features. {kappa}-coefficients for No PDFS/No STIR: bone marrow abnormalities (0.74/0.67), subarticular cysts (0.84/0.63), marginal osteophytes (0.77/0.71), menisci (0.75/0.79), tibial cartilage (0.71/0.78). Optimization of sequence protocols consisting of three sequences results in time savings and cost efficiency in imaging of knee OA without loss of information over a more time consuming protocol. (orig.)

  7. Presence or absence of carbohydrates and the proportion of fat in a high-protein diet affect appetite suppression but not energy expenditure in normal-weight human subjects fed in energy balance.

    Science.gov (United States)

    Veldhorst, Margriet A B; Westerterp, Klaas R; van Vught, Anneke J A H; Westerterp-Plantenga, Margriet S

    2010-11-01

    Two types of relatively high-protein diets, with a normal or low proportion of carbohydrates, have been shown effective for weight loss. The objective was to assess the significance of the presence or absence of carbohydrates and the proportion of fat in high-protein diets for affecting appetite suppression, energy expenditure, and fat oxidation in normal-weight subjects in energy balance. Subjects (aged 23 (sd 3) years and BMI 22·0 (sd 1·9) kg/m2) were stratified in two groups. Each was offered two diets in a randomised cross-over design: group 1 (n 22) - normal protein (NP; 10, 60 and 30 % energy (En%) from protein, carbohydrate and fat), high protein (HP; 30, 40 and 30 En%); group 2 (n 23) - normal protein (NP-g; 10, 60 and 30 En%), high protein, carbohydrate-free (HP-0C; 30, 0 and 70 En%) for 2 d; NP-g and HP-0C were preceded by glycogen-lowering exercise (day 1). Appetite was measured throughout day 2 using visual analogue scales (VAS). Energy expenditure (EE) and substrate oxidation (respiratory quotient; RQ) were measured in a respiration chamber (08.00 hours on day 2 until 07.30 hours on day 3). Fasting plasma β-hydroxybutyrate (BHB) concentration was measured (day 3). NP-g and NP did not differ in hunger, EE, RQ and BHB. HP-0C and HP v. NP-g and NP, respectively, were lower in hunger (P diet without than with carbohydrates exchanged for fat. Energy expenditure was not affected by the carbohydrate content of a high-protein diet.

  8. Predicted weight with different body segments and its use in nutritional assessment among older Bengalees of Purba Medinipur District, West Bengal

    Directory of Open Access Journals (Sweden)

    Binoy Kuiti

    2016-02-01

    Full Text Available The aim of this study was to assess the applicability of alternative versus direct anthropometric measurements for evaluating of nutritional status among older Bengalees. We conducted a cross-sectional survey in a coastal area of Purba Medinipur District, West Bengal. We measured weight, height, knee height, waist, hip and mid-upper-arm circumferences of 114 older individuals. Correlations between the different methods for calculating body mass index (BMI; using direct or alternative measurements were evaluated by Passing-Bablok regression method; agreement in the allocation of participants to the same risk category was assessed by squared weighted kappa statistic and indicators of internal relative validity. Using the Passing-Bablok regression method, the best agreement was found in fourth model (height + WC + HC for men and in women, the best agreement was found in the second model (height + MUAC. The agreement between this classification and that obtained using BMI calculated by alternative measurements was “fair-good.” When it is not possible to determine nutritional status risk category by using weight, we suggest that for older Bengalees, it may be appropriate to use the alternative measurements to predict weight and BMI.

  9. The attention-weighted sample-size model of visual short-term memory: Attention capture predicts resource allocation and memory load.

    Science.gov (United States)

    Smith, Philip L; Lilburn, Simon D; Corbett, Elaine A; Sewell, David K; Kyllingsbæk, Søren

    2016-09-01

    We investigated the capacity of visual short-term memory (VSTM) in a phase discrimination task that required judgments about the configural relations between pairs of black and white features. Sewell et al. (2014) previously showed that VSTM capacity in an orientation discrimination task was well described by a sample-size model, which views VSTM as a resource comprised of a finite number of noisy stimulus samples. The model predicts the invariance of [Formula: see text] , the sum of squared sensitivities across items, for displays of different sizes. For phase discrimination, the set-size effect significantly exceeded that predicted by the sample-size model for both simultaneously and sequentially presented stimuli. Instead, the set-size effect and the serial position curves with sequential presentation were predicted by an attention-weighted version of the sample-size model, which assumes that one of the items in the display captures attention and receives a disproportionate share of resources. The choice probabilities and response time distributions from the task were well described by a diffusion decision model in which the drift rates embodied the assumptions of the attention-weighted sample-size model.

  10. Parent-child concordance of Taq1 A1 allele predicts similarity of parent-child weight loss in behavioral family-based treatment programs.

    Science.gov (United States)

    Epstein, Leonard H; Dearing, Kelly K; Erbe, Richard W

    2010-10-01

    Family-based treatments show positive relationships between parent and child weight losses. One mechanism for similar parent-child changes may be a common genetic predisposition to respond similarly to a structured weight loss program. We examined whether concordance of the Taq1 A1 allele of the dopamine D2 receptor (DRD2) predicts similarities in zBMI change in 26 families with obese parents and overweight/obese 8-12-year-old children. Results showed a relationship between parent and child zBMI change over 6 and 12 months (rs=.69, .77, psloss at 6 (p=0.003) and 12 (p=0.025) months. These results show concordance of the Taq1 A1 allele of the DRD2 between parents and children may be one mechanism for the similar response to family-based treatments within families.

  11. Identification of differentially expressed genes in American cockroach ovaries and testes by suppression subtractive hybridization and the prediction of its miRNAs.

    Science.gov (United States)

    Chen, Wan; Jiang, Guo-Fang; Sun, Shu-Hong; Lu, Yong; Ma, Fei; Li, Bin

    2013-11-01

    Studies on the cockroach have contributed to our understanding of several important developmental processes, especially those that can be easily studied in the embryo. However, our knowledge on late events such as gonad differentiation in the cockroach is still limited. The major aim of the present study was to identify sex-specific genes between adult female and male Periplaneta americana. Two cDNA libraries were constructed using the suppression subtractive hybridization method; a total of 433 and 599 unique sequences were obtained from the forward library and the reverse library, respectively, by cluster assembly, and sequence alignment of 1,032 expressed sequence tags. The analysis of the differentially expressed gene functions allowed these genes to be categorized into three groups: biological process, molecular function, and cellular component. The differentially expressed genes were suggested to be related to the development of the gonads of P. americana. Twelve differentially expressed genes were randomly selected and verified using relative quantitative real-time polymerase chain reaction (qRT-PCR). Meanwhile, by adopting a range of filtering criteria, we predicted two potential microRNA sequences for P. americana, pam-miR100-3p and pam-miR7. To confirm the expression of potential microRNAs (miRNAs) in American cockroach, a qRT-PCR approach was also employed. The data presented here offer the insights into the molecular foundation of sex differences in American cockroach, and the first report for the miRNAs in this species. In addition, the results can be used as a reference for unraveling candidate genes associated with the sex and reproduction of cockroaches.

  12. A distinct adipose tissue gene expression response to caloric restriction predicts 6-mo weight maintenance in obese subjects

    DEFF Research Database (Denmark)

    Mutch, D. M.; Pers, Tune Hannes; Temanni, M. R.

    2011-01-01

    fatty acid metabolism, citric acid cycle, oxidative phosphorylation, and apoptosis were regulated differently by the LCD in WM and WR subjects. Conclusion: This study suggests that LCD-induced changes in insulin secretion and scAT gene expression may have the potential to predict successful short...

  13. Lower levels of human milk adiponectin predict offspring weight for age: a study in a lean population of Filipinos.

    Science.gov (United States)

    Anderson, Justine; McKinley, Kassielle; Onugha, Jason; Duazo, Paulita; Chernoff, Meytal; Quinn, Elizabeth A

    2016-10-01

    Prior studies have reported a significant, inverse association between adiponectin in human milk and offspring growth velocity. Less is known about this association in populations characterised by a loss of weight for age z-scores (WAZs) in early life. We investigated the association between maternal body composition and milk adiponectin in a sample of Filipino mothers. We then tested for an association between milk adiponectin and size for age in their infants. A total of 117 Filipino mothers nursing infants from 0 to 24 months were recruited from Cebu, Philippines. Anthropometrics, interviews and milk samples were collected and analysed using standard protocols. Mean milk adiponectin in this sample was 7.47 ± 5.75 ng mL(-1) . Mean infant WAZ and weight for length (WLZ) decreased with age. Maternal body composition was not associated with milk adiponectin content. Milk adiponectin had a significant, positive association with infant WAZ and WLZ. Prior reports have found an inverse association between milk adiponectin and infant WAZ. Here, we report that in lean populations with lower milk adiponectin, there is a positive association with infant WAZ, possibly reflecting pleiotropic biological functions of adiponectin for post-natal growth. This study increases the understanding of normal biological variation in milk adiponectin and the consequences of low levels of milk adiponectin for offspring growth.

  14. The Using Of Prediction-Observation-Explanation Strategy In Science Laboratory: What Is The Sulphur’s Molecular-Weight?

    OpenAIRE

    TEKİN, SEHER

    2008-01-01

    Science laboratory activities have got an important position in science teaching. The main purpose of laboratory experiments in the science teachers train- ing program is to acquire some laboratory knowledge and skills for the prospective teachers. But it is known that science students don’t benefit from laboratory always adequately. Increasing the efficiency of laboratory activities is tried different labora- tory strategies that one of them is prediction-observation-explanation (POE) strate...

  15. Three-dimensional isotropic fat-suppressed proton density-weighted MRI at 3 tesla using a T/R-coil can replace multiple plane two-dimensional sequences in knee imaging

    Energy Technology Data Exchange (ETDEWEB)

    Homsi, R.; Luetkens, J.A. [Bonn Univ. (Germany). Dept. of Radiology; Gieseke, J. [Philips Healthcare, Hamburg (Germany); and others

    2016-10-15

    To evaluate whether a 3D proton density-weighted fat-suppressed sequence (PDwFS) of the knee is able to replace multiplanar 2D-PDwFS. 52 patients (26 men, mean age: 41.9±14.5 years) underwent magnetic resonance imaging (MRI) of the knee at 3.0 Tesla using a T/R-coil. The imaging protocol included 3 planes of 2D-PDwFS (acquisition time (AT): 6:40 min; voxel sizes: 0.40-0.63 x 0.44-0.89 x 3 mm{sup 3}) and a 3D-PDwFS (AT: 6:31 min; voxel size: 0.63 x 0.68 x 0.63 mm{sup 3}). Homogeneity of fat suppression (HFS), artifacts, and image sharpness (IS) were evaluated on a 5-point scale (5[excellent] - 1[non-diagnostic]). The sum served as a measure for the overall image quality (OIQ). Contrast ratios (CR) compared to popliteal muscle were calculated for the meniscus (MEN), anterior (ACL) and posterior cruciate ligaments (PCL). In 13 patients who underwent arthroscopic knee surgery, two radiologists evaluated the presence of meniscal, ligamental and cartilage lesions to estimate the sensitivity and specificity of lesion detection. The CR was higher in the ACL, PCL and MEN in 3D- PDwFS compared to 2D-PDwFS (p<0.01 for ACL and PCL; p=0.07 for MEN). Compared to 2D images, the OIQ was rated higher in 3D-PDwFS images (p<0.01) due to fewer artifacts and HFS despite the lower IS (p<0.01). The sensitivity and specificity of lesion detection in 3D- and 2D-PDwFS were similar. Compared to standard multiplanar 2D-PDwFS knee imaging, isotropic high spatial resolution 3D-PDwFS of the knee at 3.0T can be acquired with high image quality in a reasonable scan time. Multiplanar reformations in arbitrary planes may serve as an additional benefit of 3D-PDwFS.

  16. e-Cow: an animal model that predicts herbage intake, milk yield and live weight change in dairy cows grazing temperate pastures, with and without supplementary feeding.

    Science.gov (United States)

    Baudracco, J; Lopez-Villalobos, N; Holmes, C W; Comeron, E A; Macdonald, K A; Barry, T N; Friggens, N C

    2012-06-01

    This animal simulation model, named e-Cow, represents a single dairy cow at grazing. The model integrates algorithms from three previously published models: a model that predicts herbage dry matter (DM) intake by grazing dairy cows, a mammary gland model that predicts potential milk yield and a body lipid model that predicts genetically driven live weight (LW) and body condition score (BCS). Both nutritional and genetic drives are accounted for in the prediction of energy intake and its partitioning. The main inputs are herbage allowance (HA; kg DM offered/cow per day), metabolisable energy and NDF concentrations in herbage and supplements, supplements offered (kg DM/cow per day), type of pasture (ryegrass or lucerne), days in milk, days pregnant, lactation number, BCS and LW at calving, breed or strain of cow and genetic merit, that is, potential yields of milk, fat and protein. Separate equations are used to predict herbage intake, depending on the cutting heights at which HA is expressed. The e-Cow model is written in Visual Basic programming language within Microsoft Excel®. The model predicts whole-lactation performance of dairy cows on a daily basis, and the main outputs are the daily and annual DM intake, milk yield and changes in BCS and LW. In the e-Cow model, neither herbage DM intake nor milk yield or LW change are needed as inputs; instead, they are predicted by the e-Cow model. The e-Cow model was validated against experimental data for Holstein-Friesian cows with both North American (NA) and New Zealand (NZ) genetics grazing ryegrass-based pastures, with or without supplementary feeding and for three complete lactations, divided into weekly periods. The model was able to predict animal performance with satisfactory accuracy, with concordance correlation coefficients of 0.81, 0.76 and 0.62 for herbage DM intake, milk yield and LW change, respectively. Simulations performed with the model showed that it is sensitive to genotype by feeding environment

  17. The Evaluation of Chronic Hepatitis B by the Signal Intensity Index of Live on MR Fat Suppressed T2-weighted Imaging%MR T2WI肝脏信号强度指标评估慢性乙型肝炎的价值

    Institute of Scientific and Technical Information of China (English)

    舒健; 赵建农; 韩福刚; 唐光才; 阿晓鹏; 陈欣; 罗丽

    2011-01-01

    Objective To assess the value of signal intensity index (SII) of liver on magnetic resonance ( MR) fat suppressed T2-weighted imaging (T2WI) in evaluating the histological changes of chronic hepatitis B. Materials and Methods Thirty-two patients who were clinically and histologically diagnosed with chronic hepatitis B and 18 healthy subjects without history of liver disease received abdominal MRI. The major MR1 sequence included a breath-trigger fat -suppressed fast recovery fast spin echo T2 WI. The Sll of liver was calculated as the signal intensity ratio between the hepatic parenchyma and right sacrospinalis muscles in the same MR section for fat -suppressed T2 W1. Results The average SII of liver was 0.966 ±0. 172. The multiple factor variance analysis showed significant difference for the SII of liver in grading of liver ( G, F = 8. 608, P = 0.000; S, F = 4. 032, P = 0. 009; interaction, F. = 2. 374, P = 0.050). Partial correlation showed significant correlation between SII of liver and grading ( r = 0. 622, P = 0.000), and between SII of liver and staging ( r = - 0. 361, P= 0.011). Receiver operating characteristic (ROC) curve for the hepatic SII in predicting moderate -severe inflammatory activity showed area under the ROC curve was 0. 925 ( P =0.000) .and cutoff point was 0.97. Conclusion There is significant positive correlation between the hepatic SII for MR fat -suppressed T2WI and the histological grading in patients with chronic hepatitis B. The hepatic SII for predicting moderate -severe inflammatory activity is more than 0.97.%目的 探讨MR脂肪抑制T2W1肝脏信号强度指标(SII)评估慢性乙型肝炎炎症活动度(G)和纤维化程度(S)的价值.资料与方法 慢性乙型肝炎患者32例,正常18例.扫描序列主要为脂肪抑制T2WI,肝脏SII为肝脏与右侧背肌信号强度之比.结果 肝脏SII平均0.966±0.172.多因素方差分析G分组F=8.608,P=0.000;S分组F=4.032,P=0.009;G和S交互作用F=2.374,P =0.050.

  18. Predicting size at first sexual maturity from length/weight relationship: a case study with an Amazonian catfish

    Directory of Open Access Journals (Sweden)

    Tiago Magalhães da Silva Freitas

    Full Text Available ABSTRACT Relationship between length and weight (LWR is used to describe aspects concerning the life cycle of fish, but does not considers possible changes during the lifetime mainly due to the sexual maturation. Thus, this study aims to identify the size at first maturity of Auchenipterichthys longimanus (Siluriformes: Auchenipteridae and infer if the reproductive engagement could change growth pattern, concerning the LWR. Estimates of the size at first maturity (L 50 were made by visual identification of gonadal development and through the gonadosomatic index (G SI . L 50 was estimated as 12.5 cm for males and 13.0 cm for females when applied visual identification of gonads development. L 50 estimates increased to 13.05 cm for males and 13.7 cm for females when estimated from G SI values. LWR was adjusted by using a regular power function and through the polyphasic growth model, with proportionality and allometric coefficients changing in a two phases. The results indicate differences in the growth pattern concerning males and females, as well as polyphasic growth. The change in the growth pattern of the polyphasic LWR was estimated at 11.42 cm for males and 12.53 cm for females, suggesting that changes in the growth pattern can sign-out the attainment maturity in this catfish.

  19. Value of diffusion-weighted imaging in predicting parametrial invasion in stage IA2-IIA cervical cancer

    Energy Technology Data Exchange (ETDEWEB)

    Park, Jung Jae; Kim, Chan Kyo; Park, Sung Yoon; Park, Byung Kwan [Sungkyunkwan University School of Medicine, Department of Radiology and Center for Imaging Science, Samsung Medical Center, Seoul (Korea, Republic of); Kim, Bohyun [Mayo Clinic College of Medicine, Department of Radiology, Rochester, MN (United States)

    2014-05-15

    To investigate the value of diffusion-weighted imaging (DWI) in evaluating parametrial invasion (PMI) in stage IA2-IIA cervical cancer. A total of 117 patients with stage IA2-IIA cervical cancer who underwent preoperative MRI and radical hysterectomy were included in this study. Preoperative clinical variables and MRI variables were analysed and compared between the groups with and without pathologically proven PMI. All variables except age were significantly different between patients with and without pathologic PMI (P < 0.05). All variables except squamous cell carcinoma (SCC) antigen were also significantly correlated with pathologic PMI on univariate analysis (P < 0.05). Multivariate analysis indicated that PMI on MRI (P < 0.001) and tumour apparent diffusion coefficient (ADC) (P = 0.029) were independent predictors of pathologic PMI. Area under the curve of PMI on MRI increased significantly from 0.793 to 0.872 when combined with tumour ADC (P = 0.002). When PMI on MRI was further stratified by tumour ADC, the false negative rate was 2.0 % (1/49). In stage IA2-IIA cervical cancer, tumour ADC and PMI on MRI seem to be independent predictors of pathologic PMI. Combining the two predictors improved the diagnostic performance of identifying patients at low risk of pathologic PMI. (orig.)

  20. Frequency of Consuming Foods Predicts Changes in Cravings for Those Foods During Weight Loss: The POUNDS Lost Study.

    Science.gov (United States)

    Apolzan, John W; Myers, Candice A; Champagne, Catherine M; Beyl, Robbie A; Raynor, Hollie A; Anton, Stephen A; Williamson, Donald A; Sacks, Frank M; Bray, George A; Martin, Corby K

    2017-08-01

    Food cravings are thought to be the result of conditioning or pairing hunger with consumption of certain foods. In a 2-year weight loss trial, subjects were randomized to one of four diets that varied in macronutrient content. The Food Craving Inventory (FCI) was used to measure cravings at baseline and at 6 and 24 months. Food intake was also measured at those time points. To measure free-living consumption of food items measured in the FCI, items on the FCI were matched to the foods consumed from the food intake assessments. Secondarily, the amount of food consumed on food intake assessments from foods on the FCI was analyzed. Three hundred and sixty-seven subjects with overweight and obesity were included. There was an association between change from baseline FCI item consumption and change in cravings at months 6 (P craved foods is positively associated with cravings; however, changing the amount of foods consumed does not appear to alter cravings. These results support the conditioning model of food cravings and provide guidance on how to reduce food cravings. © 2017 The Obesity Society.

  1. Comparative study of fast T 2-weighted images using respiratory triggered, breath-hold, fat suppression and phased array multi coil for liver evaluation by magnetic resonance imaging; Estudo comparativo das sequencias rapidas ponderadas em T2, utilizando-se sincronizacao respiratoria, apneia, supressao de gordura, bobina de corpo e bobina de sinergia para a avaliacao do figado pela ressonancia magnetica

    Energy Technology Data Exchange (ETDEWEB)

    Abbehusen, Cristiane L.; D' Ippolito, Giuseppe; Palacio, Glaucia A.S.; Szejnfeld, Jacob [Universidade Federal de Sao Paulo (UNIFESP), SP (Brazil). Escola Paulista de Medicina (EPM). Dept. de Diagnostico por Imagem]. E-mail: cabbehusen@hotmail.com

    2003-10-01

    The objective of this study was to compare both qualitatively and quantitatively six T 2-weighted turbo spin-echo sequences varying the respiratory compensation technique, associating or not fat tissue suppression and using different types of coils. We performed a prospective study of 71 consecutive patients that were submitted to MRI of the liver using a 1.5 T magnet. The six following pulse sequences were used: fat-suppressed respiratory triggered with conventional body coil; breath-hold fat-suppressed with conventional body coil; non-suppressed respiratory triggered with conventional body coil; breath-hold non fat-suppressed with conventional body coil; fat-suppressed respiratory triggered with phased-array multi coil; breath-hold fat-suppressed with phased-array multi coil. Images were analyzed quantitatively by measuring the signal-to-noise ratios and qualitatively by evaluating the sharpness of hepatic contours, visibility of intrahepatic vessels and other segmental landmarks, and the presence of artifacts. Results: the qualitative analysis showed that the mean values obtained with the six sequences were 7.8, 4.6, 7.9, 5.2, 6.7 and 4.6 respectively. The respiratory-triggered sequences were better than the breath-hold sequences in both qualitative and quantitative analysis (p < 0.001). No significant differences in the values of signal-to-noise ratios and in overall image quality were found between the sequences with and without fat suppression (p . 0.05). The sequences using the body coil were similar in terms of image quality (p . 0.05) and better regarding signal-to-noise ratios than those obtained with the phased=array multi coil (p ,0.001). Our qualitative and quantitative results suggest that the best MRI sequences for the valuation of the liver are the sequences with respiratory triggering using a conventional body coil, with or without fat suppression. (author)

  2. Weight Management

    Science.gov (United States)

    ... Anger Weight Management Weight Management Smoking and Weight Healthy Weight Loss Being Comfortable in Your Own Skin Your Weight Loss Expectations & Goals Healthier Lifestyle Healthier Lifestyle Physical Fitness Food & Nutrition Sleep, Stress & Relaxation Emotions & Relationships HealthyYouTXT ...

  3. Semiquantitative assessment of focal cartilage damage at 3 T MRI: A comparative study of dual echo at steady state (DESS) and intermediate-weighted (IW) fat suppressed fast spin echo sequences

    Energy Technology Data Exchange (ETDEWEB)

    Roemer, Frank W., E-mail: froemer@bu.edu [Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA (United States); Department of Radiology, Klinikum Augsburg, Augsburg (Germany); Kwoh, C. Kent [Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine (United States); VA Pittsburgh Healthcare System (United States); Hannon, Michael J. [Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine (United States); Crema, Michel D. [Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA (United States); Moore, Carolyn E. [Department of Nutrition and Food Sciences, Texas Woman' s University (United States); Jakicic, John M. [Department of Health and Physical Activity, University of Pittsburgh (United States); Green, Stephanie M. [Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine (United States); Guermazi, Ali [Quantitative Imaging Center (QIC), Department of Radiology, Boston University Medical Center, Boston, MA (United States)

    2011-11-15

    Purpose: The aim of the study was to compare semiquantitative assessment of focal cartilage damage using the dual echo at steady state (DESS)- and intermediate-weighted (IW) fat suppressed (fs) sequences at 3 T MRI. Methods: Included were 201 subjects aged 35-65 with frequent knee pain. MRI was performed with the same sequence protocol as in the Osteoarthritis Initiative (OAI): sagittal IW fs, triplanar DESS and coronal IW sequences. Cartilage status was scored according to the WORMS system using all five sequences. A total of 243 focal defects were detected. In an additional consensus reading, the lesions were evaluated side-by-side using only the sagittal DESS and IW fs sequences. Lesion conspicuity was graded from 0 to 3, intrachondral signal changes adjacent to the defect were recorded and the sequence that depicted the lesion with larger diameter was noted. Wilcoxon signed-rank tests, controlled for clustering by person, were used to examine differences between the sequences. Results: 37 (17.5%) of the scorable lesions were located in the medial tibio-femoral (TF), 48 (22.7%) in the lateral TF and 126 (59.7%) in the patello-femoral compartment. 82.5% were superficial and 17.5% full-thickness defects. Conspicuity was superior for the IW sequence (p < 0.001). The DESS sequence showed more associated intrachondral signal changes (p < 0.001). In 103 (48.8%) cases, the IW fs sequence depicted the lesions as being larger (p < 0.001). Conclusions: The IW fs sequence detected more and larger focal cartilage defects than the DESS. More intrachondral signal changes were observed with the DESS.

  4. Semiquantitative assessment of subchondral bone marrow edema-like lesions and subchondral cysts of the knee at 3T MRI: A comparison between intermediate-weighted fat-suppressed spin echo and Dual Echo Steady State sequences

    Directory of Open Access Journals (Sweden)

    Jakicic John M

    2011-09-01

    Full Text Available Abstract Background Choice of appropriate MR pulse sequence is important for any research studies using imaging-derived data. The aim of this study was to compare semiquantitative assessment of subchondral bone marrow edema-like lesions and subchondral cysts using intermediate-weighted (IW fat-suppressed (fs spin echo and Dual Echo Steady State (DESS sequences on 3 T MRI. Methods Included were 201 subjects aged 35-65 with frequent knee pain. 3T MRI was performed with the same sequence protocol as in the Osteoarthritis Initiative (OAI. In a primary reading subchondral bone marrow edema-like lesions were assessed according to the WORMS system. Two hundred subregions with such lesions were randomly chosen. The extent of subchondral bone marrow edema-like lesions was re-evaluated separately using sagittal IW fs and DESS sequences according to WORMS. Lesion size and confidence of the differentiation between subchondral bone marrow edema-like lesions and subchondral cysts located within or adjacent to them was rated from 0 to 3. Wilcoxon signed-rank tests and chi-square statistics were used to examine differences between the two sequences. Results Of 200 subchondral bone marrow edema-like lesions detected by IW fs sequence, 93 lesions (46.5% were not depicted by the DESS sequence. The IW fs sequence depicted subchondral bone marrow edema-like lesions to a larger extent than DESS (p Conclusions In direct comparison the IW fs sequence depicts more subchondral bone marrow edema-like lesions and better demonstrate the extent of their maximum size. The DESS sequence helps in the differentiation of subchondral bone marrow edema-like lesions and subchondral cysts. The IW fs sequence should be used for determination of lesion extent whenever the size of subchondral bone marrow edema-like lesions is the focus of attention.

  5. Quarkonium suppression

    Indian Academy of Sciences (India)

    P Petreczky

    2003-04-01

    I discuss quarkonium suppression in equilibrated strongly interacting matter. After a brief review of basic features of quarkonium production I discuss the application of recent lattice data on the heavy quark potential to the problem of quarkonium dissociation as well as the problem of direct lattice determination of quarkonium properties in finite temperature lattice QCD.

  6. Light-Weight Multispectral Uav Sensors and Their Capabilities for Predicting Grain Yield and Detecting Plant Diseases

    Science.gov (United States)

    Nebiker, S.; Lack, N.; Abächerli, M.; Läderach, S.

    2016-06-01

    In this paper we investigate the performance of new light-weight multispectral sensors for micro UAV and their application to selected tasks in agronomical research and agricultural practice. The investigations are based on a series of flight campaigns in 2014 and 2015 covering a number of agronomical test sites with experiments on rape, barley, onion, potato and other crops. In our sensor comparison we included a high-end multispectral multiSPEC 4C camera with bandpass colour filters and reference channel in zenith direction and a low-cost, consumer-grade Canon S110 NIR camera with Bayer pattern colour filters. Ground-based reference measurements were obtained using a terrestrial hyperspectral field spectrometer. The investigations show that measurements with the high-end system consistently match very well with ground-based field spectrometer measurements with a mean deviation of just 0.01-0.04 NDVI values. The low-cost system, while delivering better spatial resolutions, expressed significant biases. The sensors were subsequently used to address selected agronomical questions. These included crop yield estimation in rape and barley and plant disease detection in potato and onion cultivations. High levels of correlation between different vegetation indices and reference yield measurements were obtained for rape and barley. In case of barley, the NDRE index shows an average correlation of 87% with reference yield, when species are taken into account. With high geometric resolutions and respective GSDs of down to 2.5 cm the effects of a thrips infestation in onion could be analysed and potato blight was successfully detected at an early stage of infestation.

  7. Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging

    Energy Technology Data Exchange (ETDEWEB)

    Lotfalizadeh, Emad; Vullierme, Marie-Pierre; Allaham, Wassim [University Hospitals Paris Nord Val de Seine, Department of Radiology, Clichy, Hauts-de-Seine (France); Ronot, Maxime; Vilgrain, Valerie [University Hospitals Paris Nord Val de Seine, Department of Radiology, Clichy, Hauts-de-Seine (France); University Paris Diderot, Paris (France); INSERM U1149, Centre de Recherche Biomedicale Bichat-Beaujon, CRB3, Paris (France); Wagner, Mathilde [University Hospitals Paris Nord Val de Seine, Department of Radiology, Clichy, Hauts-de-Seine (France); INSERM U1149, Centre de Recherche Biomedicale Bichat-Beaujon, CRB3, Paris (France); Cros, Jerome; Couvelard, Anne [University Paris Diderot, Paris (France); University Hospitals Paris Nord Val de Seine, Department of Pathology, Clichy, Hauts-de-Seine (France); Hentic, Olivia; Ruzniewski, Philippe [University Hospitals Paris Nord Val de Seine, Department of Gastroenterology, Clichy, Hauts-de-Seine (France)

    2017-04-15

    To evaluate the value of MR imaging including diffusion-weighted imaging (DWI) for the grading of pancreatic neuroendocrine tumours (pNET). Between 2006 and 2014, all resected pNETs with preoperative MR imaging including DWI were included. Tumour grading was based on the 2010 WHO classification. MR imaging features included size, T1-w, and T2-w signal intensity, enhancement pattern, apparent (ADC) and true diffusion (D) coefficients. One hundred and eight pNETs (mean 40 ± 33 mm) were evaluated in 94 patients (48 women, 51 %, mean age 52 ± 12). Fifty-five (51 %), 42 (39 %), and 11 (10 %) tumours were given the following grades (G): G1, G2, and G3. Mean ADC and D values were significantly lower as grade increased (ADC: 2.13 ± 0.70, 1.78 ± 0.72, and 0.86 ± 0.22 10{sup -3} mm{sup 2}/s, and D: 1.92 ± 0.70, 1.75 ± 0.74, and 0.82 ± 0.19 10{sup -3} mm{sup 2}/s G1, G2, and G3, all p < 0.001). A higher grade was associated with larger sized tumours (p < 0.001). The AUROC of ADC and D to differentiate G3 and G1-2 were 0.96 ± 0.02 and 0.95 ± 0.02. Optimal cut-off values for the identification of G3 were 1.19 10{sup -3} mm{sup 2}/s for ADC (sensitivity 100 %, specificity 92 %) and 1.04 10{sup -3} mm{sup 2}/s for D (sensitivity 82 %, specificity 92 %). Morphological/functional MRI features of pNETS depend on tumour grade. DWI is useful for the identification of high-grade tumours. (orig.)

  8. Baseline leptin and leptin reduction predict improvements in metabolic variables and long-term fat loss in obese children and adolescents: a prospective study of an inpatient weight-loss program

    NARCIS (Netherlands)

    Murer, S.B.; Knopfli, B.H.; Aeberli, I.; Jung, A.; Wildhaber, J.; Wildhaber-Brooks, J.; Zimmermann, M.B.

    2011-01-01

    Background: It is unclear whether high plasma leptin in obese individuals represents leptin resistance or whether individuals with marked reductions in leptin concentrations in response to weight loss may be at greater risk of regaining weight. Moreover, whether changes in leptin predict metabolic i

  9. Baseline leptin and leptin reduction predict improvements in metabolic variables and long-term fat loss in obese children and adolescents: a prospective study of an inpatient weight-loss program

    NARCIS (Netherlands)

    Murer, S.B.; Knopfli, B.H.; Aeberli, I.; Jung, A.; Wildhaber, J.; Wildhaber-Brooks, J.; Zimmermann, M.B.

    2011-01-01

    Background: It is unclear whether high plasma leptin in obese individuals represents leptin resistance or whether individuals with marked reductions in leptin concentrations in response to weight loss may be at greater risk of regaining weight. Moreover, whether changes in leptin predict metabolic i

  10. Baseline leptin and leptin reduction predict improvements in metabolic variables and long-term fat loss in obese children and adolescents: a prospective study of an inpatient weight-loss program

    NARCIS (Netherlands)

    Murer, S.B.; Knopfli, B.H.; Aeberli, I.; Jung, A.; Wildhaber, J.; Wildhaber-Brooks, J.; Zimmermann, M.B.

    2011-01-01

    Background: It is unclear whether high plasma leptin in obese individuals represents leptin resistance or whether individuals with marked reductions in leptin concentrations in response to weight loss may be at greater risk of regaining weight. Moreover, whether changes in leptin predict metabolic

  11. Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function.

    Science.gov (United States)

    Spratling, M W

    2012-01-01

    A method is presented for learning the reciprocal feedforward and feedback connections required by the predictive coding model of cortical function. When this method is used, feedforward and feedback connections are learned simultaneously and independently in a biologically plausible manner. The performance of the proposed algorithm is evaluated by applying it to learning the elementary components of artificial and natural images. For artificial images, the bars problem is employed, and the proposed algorithm is shown to produce state-of-the-art performance on this task. For natural images, components resembling Gabor functions are learned in the first processing stage, and neurons responsive to corners are learned in the second processing stage. The properties of these learned representations are in good agreement with neurophysiological data from V1 and V2. The proposed algorithm demonstrates for the first time that a single computational theory can explain the formation of cortical RFs and also the response properties of cortical neurons once those RFs have been learned.

  12. Postnatal changes in adrenal size in very low-birth-weight infants: sonographic evaluation for the prediction of late-onset glucocorticoid-responsive circulatory collapse.

    Science.gov (United States)

    Iijima, Shigeo; Uga, Naoki; Ohzeki, Takehiko

    2010-06-01

    We investigated the postnatal pattern of changes in adrenal size in very low-birth-weight (VLBW) infants and its relation to late-onset glucocorticoid-responsive circulatory collapse (LGCC) that may be associated with adrenal insufficiency. In 36 VLBW infants born at birth and unchanged at 3 weeks; group B (N = 24), the actual adrenal area was greater than or equal to the predicted value and decreased at 3 weeks; and group C (N = 6), the actual adrenal area was less than the predicted value and unchanged at 3 weeks. Five infants developed LGCC, and all five were in group A. These observations suggest that the life of the adrenal fetal zone might be extended beyond 3 weeks after birth in some VLBW infants and that prolonged fetal zone activity might correlate with LGCC. On the other hand, adrenal maturation might have already occurred at birth in some VLBW infants. Sonographic evaluation of adrenal size may enable prediction of subsequent LGCC in VLBW infants.

  13. Do the early development of gestures and receptive and expressive language predict language skills at 5;0 in prematurely born very-low-birth-weight children?

    Science.gov (United States)

    Stolt, S; Lind, A; Matomäki, J; Haataja, L; Lapinleimu, H; Lehtonen, L

    2016-01-01

    It is unclear what the predictive value of very early development of gestures and language is on later language ability in prematurely born very-low-birth-weight (VLBW; birth weight ≤1500g) children. The aim of the present study was to analyse the predictive value of early gestures and a receptive lexicon measured between the ages of 0;9 and 1;3, as well as the predictive value of receptive and expressive language ability at 2;0 for language skills at 5;0 in VLBW children. The subjects were 29 VLBW children and 28 full-term children whose language development has been followed intensively between the ages of 0;9 and 2;0 using the Finnish version of the MacArthur Developmental Inventory and the Reynell Developmental Language Scales (RDLS III). At 5;0, five selected verbal subtests of the Nepsy II test and the Boston Naming Test (BNT) were used to assess children's language skills. For the first time in VLBW children, the development of gestures measured between the ages of 0;9 and 1;3 was shown to correlate significantly and positively with language skills at 5;0. In addition, both receptive and expressive language ability measured at 2;0 correlated significantly and positively with later language skills in both groups. Moreover, according to the hierarchical regression analysis, the receptive language score of the RDLS III at 2;0 was a clear and significant predictor for language skills at 5;0 in both groups. The findings particularly underline the role of early receptive language as a significant predictor for later language ability in VLBW children. The results provide evidence for a continuity between early language development and later language skills. After reading this article, readers will understand the associations between the very early (≤2 years of age) development of gestures and language (i.e. early receptive lexicon, expressive lexicon at 2;0, receptive and expressive language ability at 2;0) and the language skills at 5;0 in prematurely born

  14. Prediction of genetic values for feed intake from individual body weight gain and total feed intake of the pen.

    Science.gov (United States)

    Cooper, A J; Ferrell, C L; Cundiff, L V; Van Vleck, L D

    2010-06-01

    Records of individual feed intake (FI) and BW gain (GN) were obtained from the Germ Plasm Evaluation (GPE) program at US Meat Animal Research Center (USMARC). Animals were randomly assigned to pens. Only pens with 6 to 9 steers (n = 289) were used for this study (data set 1). Variance components and genetic parameters were estimated using data set 1. Estimated genetic values (EGV) for FI were calculated by 5 methods using single and 2-trait analyses: 1) individual FI and individual GN, 2) individual FI alone, 3) 2-trait with individual GN but with FI missing, 4) individual GN and pen total FI, and 5) pen total FI alone. Analyses were repeated but with some of the same records assigned artificially to 36 pens of 5 and 4 paternal half sibs per pen (data sets 2 and 3). Models included year as a fixed factor and birth and weaning weights, age on test, and days fed as covariates. Estimates of heritability were 0.42 +/- 0.16 and 0.34 +/- 0.17 for FI and GN. The estimate of the genetic correlation was 0.57 +/- 0.23. Empirical responses to selection were calculated as the average EGV for the top and bottom 10% based on rank for each method but with EGV from method 1 substituted for the EGV on which ranking was based. With data set 1, rank correlations between EGV from method 1 and EGV from methods 2, 3, 4, and 5 were 0.99, 0.53, 0.32, and 0.15, respectively. Empirical responses relative to method 1 agreed with the rank correlations. Accuracy of EGV for method 4 (0.44) was greater than for method 3 (0.35) and for method 5 (0.29). Accuracies for methods 4 and 5 were greater than indicated by empirical responses and correlations with EGV from method 1. Comparisons of the 5 methods were similar for data sets 2 and 3. With data set 2, rank correlations between EGV from method 1 and EGV from methods 3, 4, and 5 were 0.47, 0.64, and 0.62. Average accuracies of 56, 75, and 75% relative to method 1 (0.67) generally agreed with the empirical responses to selection. As expected

  15. Predictive value of T2-weighted imaging and contrast-enhanced MR imaging in assessing myometrial invasion in endometrial cancer: a pooled analysis of prospective studies

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Lian-Ming [Shanghai Jiao Tong University School of Medicine, Department of Radiology, Renji Hospital, Shanghai (China); Wayne State University, Department of Radiology, Detroit, MI (United States); Xu, Jian-Rong; Gu, Hai-Yan; Hua, Jia [Shanghai Jiao Tong University School of Medicine, Department of Radiology, Renji Hospital, Shanghai (China); Haacke, E.M.; Hu, Jiani [Wayne State University, Department of Radiology, Detroit, MI (United States)

    2013-02-15

    To obtain diagnostic performance values of T2-weighted imaging (T2WI) and contrast-enhanced magnetic resonance imaging (CE-MRI) in the prediction of myometrial invasion in patients with endometrial cancer. Databases including MEDLINE and EMBASE were searched for relevant original articles published from January1995 to March 2012. Pooled estimation data were obtained by statistical analysis. Eleven articles (548 patients) were included. For assessing any myometrial involvement, the pooled sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for CE-MRI were 0.81 (95% CI, 0.72, 0.88), 0.72 (95% CI, 0.64, 0.79), 0.65 (95% CI, 0.56, 0.73) and 0.85 (95% CI, 0.78, 0.91); for T2WI, they were 0.87 (95% CI, 0.78, 0.94), 0.58 (95% CI, 0.47, 0.69), 0.64 (95% CI, 0.54, 0.73), 0.84 (95% CI, 0.73, 0.92) respectively. The pooled specificity of CE-MRI (0.72) was significantly higher than T2WI (0.58) (P < 0.05). For assessing deep myometrial involvement, there was no statistically significant difference between CE-MRI and T2WI, (P > 0.05). CE-MRI has a good diagnostic performance in the prediction of any myometrial invasion and is superior to T2WI. But its PPV is somewhat suboptimal. For assessing deep myometrial involvement, its NPV appears relative high and negative findings strongly suggest an absence of deep myometrial involvement, which can guide therapeutic decision-making. (orig.)

  16. Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Park, Sang Hee; Moon, Woo Kyung; Cho, Nariya; Chang, Jung Min [Seoul National University Hospital, Department of Radiology, Seoul (Korea, Republic of); Im, Seock-Ah [Seoul National University Hospital, Department of Internal Medicine, Seoul (Korea, Republic of); Park, In Ae [Seoul National University Hospital, Department of Pathology, Seoul (Korea, Republic of); Kang, Keon Wook [Seoul National University Hospital, Department of Nuclear Medicine, Seoul (Korea, Republic of); Han, Wonshik; Noh, Dong-Young [Seoul National University Hospital, Department of Surgery, Seoul (Korea, Republic of)

    2012-01-15

    To compare the use of diffusion-weighted MR imaging (DWI) and {sup 18}F-FDG PET/CT to predict pathological complete response (pCR) in breast cancer patients receiving neoadjuvant chemotherapy. Thirty-four women with 34 invasive breast cancers underwent DWI and PET/CT before and after chemotherapy and before surgery. The percentage changes in the apparent diffusion coefficient (ADC) and the standardised uptake value (SUV) were calculated, and the diagnostic performances for predicting pCR were evaluated using receiver operating characteristic (ROC) curve analysis. After surgery, 7/34 patients (20.6%) were found to have pCR. A{sub z} values for DWI, PET/CT and the combined use of DWI and PET/CT were 0.910, 0.873 and 0.944, respectively. The best cut-offs for differentiating pCR from non-pCR were a 54.9% increase in the ADC and a 63.9% decrease in the SUV. DWI showed 100% (7/7) sensitivity and 70.4% (19/27) specificity and PET/CT showed 100% sensitivity and 77.8% (21/27) specificity. When DWI and PET/CT were combined, there was a trend towards improved specificity compared with DWI. DWI and FDG PET/CT show similar diagnostic accuracy for predicting pCR to neoadjuvant chemotherapy in breast cancer patients. The combined use of DWI and FDG PET/CT has the potential to improve specificity in predicting pCR. (orig.)

  17. Analysis of the juice and water losses in salted and unsalted pork samples heated in water bath. Consequences for the prediction of weight loss by transfer models.

    Science.gov (United States)

    Bombrun, Laure; Gatellier, Philippe; Portanguen, Stéphane; Kondjoyan, Alain

    2015-01-01

    This study has analyzed the effect of different factors on variation of meat weight due to juice loss, and variation of water content of pork samples heated in a water bath. The weight loss (WL) was influenced by initial water content of raw meat which can be connected to meat pH, muscle type, and by pre-salting. WL was also influenced by sample thickness and by nature of the surrounding fluid. These effects were significant at 50°C and in thinner samples but decreased as meat temperature and sample thickness increased. WL showed no significant difference in response to prior freezing, applying a surface constraint during heating or varying meat salt content from 0.8 to 2.0%. The results were interpreted from literature knowledge on protein denaturation, contraction and, transport phenomena. Reliably predicting WL from water content variation during heating hinges on taking into account the loss of dry matter and the possible effects of meat pH, sample size or surrounding fluid. Copyright © 2014. Published by Elsevier Ltd.

  18. Can T2-weighted 3-T breast MRI predict clinically occult inflammatory breast cancer before pathological examination? A single-center experience.

    Science.gov (United States)

    Uematsu, Takayoshi; Kasami, Masako; Watanabe, Junichiro

    2014-01-01

    Occult inflammatory breast cancer (IBC) is defined as an invasive cancer without any clinical inflammatory signs but with pathologically proven dermal lymphovascular invasion. The purpose of this study is to evaluate the ability of 3-T breast MRI to predict occult IBC before pathological examination and compare its effectiveness with that of mammography (MMG) and ultrasound (US). A retrospective review of clinical, radiological, and pathological records of 460 consecutive breast cancers revealed five proved occult IBCs. We analyzed the findings of 3-T MRI, MMG, and US for these five occult IBCs. Primary breast lesions were detected by 3-T MRI, MMG, and US in all five breasts with occult IBCs. 3-T MRI revealed 40% mass type lesions and 60% non-mass-like type lesions. Kinetic curve analysis of the primary breast lesions showed a rapid initial kinetic phase in 80% of lesions and a delayed washout pattern in 60% of lesions. 3-T MRI showed slight skin thickness in 60% of breasts, whereas MMG and US showed slight skin thickness in 40 and 20% of breasts, respectively. Subcutaneous and prepectoral edema, as evaluated on T2-weighted images, was present in all five breasts with occult IBCs. The presence of subcutaneous and prepectoral edema on T2-weighted 3-T breast MRI is an important finding that should suggest the diagnosis of occult IBC before pathological examination.

  19. Early diffusion weighted magnetic resonance imaging can predict survival in women with locally advanced cancer of the cervix treated with combined chemo-radiation

    Energy Technology Data Exchange (ETDEWEB)

    Somoye, Gbolahan; Parkin, David [Ward 42, Aberdeen Royal Infirmary, Aberdeen (United Kingdom); Harry, Vanessa [Royal Marsden NHS Foundation Trust, London (United Kingdom); Semple, Scott [Queen' s Medical Research Institute, Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh (United Kingdom); Plataniotis, George [Musgrove Park Hospital, Taunton and Somerset NHS Foundation, Taunton (United Kingdom); Scott, Neil [University of Aberdeen, Section of Population Health, Aberdeen (United Kingdom); Gilbert, Fiona J. [University of Cambridge, Radiology Department, Box 218, Cambridge (United Kingdom)

    2012-11-15

    To assess the predictive value of diffusion weighted imaging (DWI) for survival in women treated for advanced cancer of the cervix with concurrent chemo-radiotherapy. Twenty women treated for advanced cancer of the cervix were recruited and followed up for a median of 26 (range <1 to 43) months. They each had DWI performed before treatment, 2 weeks after beginning therapy (midtreatment) and at the end of treatment. Apparent diffusion coefficient (ADC) values were calculated from regions of interest (ROI). All participants were reviewed for follow-up data. ADC values were compared with mortality status (Mann-Whitney test). Time to progression and overall survival were assessed (Kaplan-Meier survival graphs). There were 14 survivors. The median midtreatment ADC was statistically significantly higher in those alive compared to the non-survivors, 1.55 and 1.36 (x 10{sup -3}/mm{sup 2}/s), respectively, P = 0.02. The median change in ADC 14 days after treatment commencement was significantly higher in the alive group compared to non-survivors, 0.28 and 0.14 (x 10{sup -3}/mm{sup 2}/s), respectively, P = 0.02. There was no evidence of a difference between survivors and non-survivors for pretreatment baseline or post-therapy ADC values. Functional DWI early in the treatment of advanced cancer of the cervix may provide useful information in predicting survival. (orig.)

  20. Diffusion-weighted magnetic resonance imaging predicts survival in patients with liver-predominant metastatic colorectal cancer shortly after selective internal radiation therapy

    Energy Technology Data Exchange (ETDEWEB)

    Schmeel, Frederic Carsten; Simon, Birgit; Luetkens, Julian Alexander; Traeber, Frank; Schmeel, Leonard Christopher; Schild, Hans Heinz; Hadizadeh, Dariusch Reza [University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universitaet Bonn, Department of Radiology, Bonn (Germany); Sabet, Amir [University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universitaet Bonn, Department of Nuclear Medicine, Bonn (Germany); University Hospital Essen, Universitaet Duisburg-Essen, Department of Nuclear Medicine, Essen (Germany); Ezziddin, Samer [University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universitaet Bonn, Department of Nuclear Medicine, Bonn (Germany); University Hospital Saarland, Universitaet des Saarlandes, Department of Nuclear Medicine, Homburg (Germany)

    2017-03-15

    To investigate whether quantifications of apparent diffusion coefficient (ADC) on diffusion-weighted imaging (DWI) can predict overall survival (OS) in patients with liver-predominant metastatic colorectal cancer (CRC) following selective internal radiation therapy with {sup 90}Yttrium-microspheres (SIRT). Forty-four patients underwent DWI 19 ± 16 days before and 36 ± 10 days after SIRT. Tumour-size and intratumoral minimal ADC (minADC) values were measured for 132 liver metastases on baseline and follow-up DWI. Optimal functional imaging response to treatment was determined by receiver operating characteristics and defined as ≥22 % increase in post-therapeutic minADC. Survival analysis was performed with the Kaplan-Meier method and Cox-regression comparing various variables with potential impact on OS. Median OS was 8 months. The following parameters were significantly associated with median OS: optimal functional imaging response (18 vs. 5 months; p < 0.001), hepatic tumour burden <50 % (8 vs. 5 months; p = 0.018), Eastern Cooperative Oncology Group performance scale <1 (10 vs. 4 months; p = 0.012) and progressive disease according to Response and Evaluation Criteria in Solid Tumours (8 vs. 3 months; p = 0.001). On multivariate analysis, optimal functional imaging response and hepatic tumour burden remained independent predictors of OS. Functional imaging response assessment using minADC changes on DWI may predict survival in CRC shortly after SIRT. (orig.)

  1. High-throughput prediction of tablet weight and trimethoprim content of compound sulfamethoxazole tablets for controlling the uniformity of dosage units by NIR.

    Science.gov (United States)

    Dong, Yanhong; Li, Juan; Zhong, Xiaoxiao; Cao, Liya; Luo, Yang; Fan, Qi

    2016-04-15

    This paper establishes a novel method to simultaneously predict the tablet weight (TW) and trimethoprim (TMP) content of compound sulfamethoxazole tablets (SMZCO) by near infrared (NIR) spectroscopy with partial least squares (PLS) regression for controlling the uniformity of dosage units (UODU). The NIR spectra for 257 samples were measured using the optimized parameter values and pretreated using the optimized chemometric techniques. After the outliers were ignored, two PLS models for predicting TW and TMP content were respectively established by using the selected spectral sub-ranges and the reference values. The TW model reaches the correlation coefficient of calibration (R(c)) 0.9543 and the TMP content model has the R(c) 0.9205. The experimental results indicate that this strategy expands the NIR application in controlling UODU, especially in the high-throughput and rapid analysis of TWs and contents of the compound pharmaceutical tablets, and may be an important complement to the common NIR on-line analytical method for pharmaceutical tablets.

  2. The Role of Diffusion-Weighted Imaging (DWI in Locoregional Therapy Outcome Prediction and Response Assessment for Hepatocellular Carcinoma (HCC: The New Era of Functional Imaging Biomarkers

    Directory of Open Access Journals (Sweden)

    Johannes M. Ludwig

    2015-11-01

    Full Text Available Reliable response criteria are critical for the evaluation of therapeutic response in hepatocellular carcinoma (HCC. Current response assessment is mainly based on: (1 changes in size, which is at times unreliable and lag behind the result of therapy; and (2 contrast enhancement, which can be difficult to quantify in the presence of benign post-procedural changes and in tumors presenting with a heterogeneous pattern of enhancement. Given these challenges, functional magnetic resonance imaging (MRI techniques, such as diffusion-weighted imaging (DWI have been recently investigated, aiding specificity to locoregional therapy response assessment and outcome prediction. Briefly, DWI quantifies diffusion of water occurring naturally at a cellular level (Brownian movement, which is restricted in multiple neoplasms because of high cellularity. Disruption of cellular integrity secondary to therapy results in increased water diffusion across the injured membranes. This review will provide an overview of the current literature on DWI therapy response assessment and outcome prediction in HCC following treatment with locoregional therapies.

  3. Early prediction of anticancer effects with diffusion-weighted MR imaging in patients with colorectal liver metastases following selective internal radiotherapy

    Energy Technology Data Exchange (ETDEWEB)

    Dudeck, Oliver; Zeile, Martin; Wybranski, Christian; Schulmeister, Alice; Fischbach, Frank; Pech, Maciej; Wieners, Gero; Ruehl, Ricarda; Grosser, Oliver; Amthauer, Holger; Ricke, Jens [University of Magdeburg, Department of Radiology and Nuclear Medicine, Magdeburg (Germany)

    2010-11-15

    To prospectively evaluate diffusion-weighted imaging (DWI) for early prediction of tumour response in patients with colorectal liver metastases following selective internal radiotherapy (SIRT). We evaluated 41 metastases in 21 patients, age 62.9 {+-} 9.9 years. All patients underwent magnetic resonance imaging (MRI) including breath-hold echoplanar DWI sequences. Imaging was performed before therapy (baseline MRI), 2 days after SIRT (early MRI) as well as 6 weeks later (follow-up MRI). Tumour volume (TV) and intratumoural apparent diffusion coefficient (ADC) were measured independently by two radiologists at all time points. Metastases were categorised as responding lesions (RL; n = 33) or non-responding lesions (NRL; n = 8) according to changes in TV after 6 weeks. We found an inverse correlation of changes in TV and ADC at follow-up MRI with a Pearson's correlation coefficient of r = -0.66 (p < 0.0001). On early MRI, no significant changes in TV were found for either RL or NRL. Conversely, ADC decreased significantly in RL by 10.7 {+-} 8.4% (p < 0.0001). ADC increased in NRL by 9.6 {+-} 20.8%, which was not statistically significant (p = 0.40). DWI was capable of predicting therapy effects of SIRT in patients with colorectal hepatic metastases as early as 2 days following treatment. (orig.)

  4. Learning a weighted sequence model of the nucleosome core and linker yields more accurate predictions in Saccharomyces cerevisiae and Homo sapiens.

    Directory of Open Access Journals (Sweden)

    Sheila M Reynolds

    Full Text Available DNA in eukaryotes is packaged into a chromatin complex, the most basic element of which is the nucleosome. The precise positioning of the nucleosome cores allows for selective access to the DNA, and the mechanisms that control this positioning are important pieces of the gene expression puzzle. We describe a large-scale nucleosome pattern that jointly characterizes the nucleosome core and the adjacent linkers and is predominantly characterized by long-range oscillations in the mono, di- and tri-nucleotide content of the DNA sequence, and we show that this pattern can be used to predict nucleosome positions in both Homo sapiens and Saccharomyces cerevisiae more accurately than previously published methods. Surprisingly, in both H. sapiens and S. cerevisiae, the most informative individual features are the mono-nucleotide patterns, although the inclusion of di- and tri-nucleotide features results in improved performance. Our approach combines a much longer pattern than has been previously used to predict nucleosome positioning from sequence-301 base pairs, centered at the position to be scored-with a novel discriminative classification approach that selectively weights the contributions from each of the input features. The resulting scores are relatively insensitive to local AT-content and can be used to accurately discriminate putative dyad positions from adjacent linker regions without requiring an additional dynamic programming step and without the attendant edge effects and assumptions about linker length modeling and overall nucleosome density. Our approach produces the best dyad-linker classification results published to date in H. sapiens, and outperforms two recently published models on a large set of S. cerevisiae nucleosome positions. Our results suggest that in both genomes, a comparable and relatively small fraction of nucleosomes are well-positioned and that these positions are predictable based on sequence alone. We believe that the

  5. Learning a weighted sequence model of the nucleosome core and linker yields more accurate predictions in Saccharomyces cerevisiae and Homo sapiens.

    Science.gov (United States)

    Reynolds, Sheila M; Bilmes, Jeff A; Noble, William Stafford

    2010-07-08

    DNA in eukaryotes is packaged into a chromatin complex, the most basic element of which is the nucleosome. The precise positioning of the nucleosome cores allows for selective access to the DNA, and the mechanisms that control this positioning are important pieces of the gene expression puzzle. We describe a large-scale nucleosome pattern that jointly characterizes the nucleosome core and the adjacent linkers and is predominantly characterized by long-range oscillations in the mono, di- and tri-nucleotide content of the DNA sequence, and we show that this pattern can be used to predict nucleosome positions in both Homo sapiens and Saccharomyces cerevisiae more accurately than previously published methods. Surprisingly, in both H. sapiens and S. cerevisiae, the most informative individual features are the mono-nucleotide patterns, although the inclusion of di- and tri-nucleotide features results in improved performance. Our approach combines a much longer pattern than has been previously used to predict nucleosome positioning from sequence-301 base pairs, centered at the position to be scored-with a novel discriminative classification approach that selectively weights the contributions from each of the input features. The resulting scores are relatively insensitive to local AT-content and can be used to accurately discriminate putative dyad positions from adjacent linker regions without requiring an additional dynamic programming step and without the attendant edge effects and assumptions about linker length modeling and overall nucleosome density. Our approach produces the best dyad-linker classification results published to date in H. sapiens, and outperforms two recently published models on a large set of S. cerevisiae nucleosome positions. Our results suggest that in both genomes, a comparable and relatively small fraction of nucleosomes are well-positioned and that these positions are predictable based on sequence alone. We believe that the bulk of the

  6. Model of Suppression Weapon Ammunition Consumption Prediction Oriented Firepower Strike Mission%面向火力打击任务的压制武器弹药消耗预计模型

    Institute of Scientific and Technical Information of China (English)

    王立欣; 刘志勇; 程中华; 王亚彬

    2015-01-01

    With the gradual increase of sort of suppression weapon ammunition,the gradual broad firepower strike mission,the problem of ammunition consumption prediction of suppression weapon is getting more and more important. On the base of the multi-target and multi-type ammunition in the firepower strike mission,with the constraints of time and expense,considering the best matching degree of ammunition type and mission,the shortest time,as well as the lowest expense,the model of suppression weapon ammunition consumption prediction oriented firepower strike mission is established by using the goal programming theory. The model are helpful for command organization and support organization to predict ammunition consumption.%随着武器装备的发展和高新技术的应用,压制武器弹药品种日益增多,所承担的火力打击任务日益广泛,压制武器弹药消耗预计问题尤为凸显。从弹种与任务的匹配入手,以弹种任务匹配最佳、完成任务时间最短和完成任务费用最省为决策准则,运用目标规划理论,构建面向火力打击任务的压制武器弹药消耗预计模型,为提高弹药消耗预计的准确性奠定基础,为部队作战指挥机构和保障机构开展弹药消耗预计提供模型支持。

  7. Predicting live birth, preterm delivery, and low birth weight in infants born from in vitro fertilisation: a prospective study of 144,018 treatment cycles.

    Directory of Open Access Journals (Sweden)

    Scott M Nelson

    2011-01-01

    Full Text Available The extent to which baseline couple characteristics affect the probability of live birth and adverse perinatal outcomes after assisted conception is unknown.We utilised the Human Fertilisation and Embryology Authority database to examine the predictors of live birth in all in vitro fertilisation (IVF cycles undertaken in the UK between 2003 and 2007 (n = 144,018. We examined the potential clinical utility of a validated model that pre-dated the introduction of intracytoplasmic sperm injection (ICSI as compared to a novel model. For those treatment cycles that resulted in a live singleton birth (n = 24,226, we determined the associates of potential risk factors with preterm birth, low birth weight, and macrosomia. The overall rate of at least one live birth was 23.4 per 100 cycles (95% confidence interval [CI] 23.2-23.7. In multivariable models the odds of at least one live birth decreased with increasing maternal age, increasing duration of infertility, a greater number of previously unsuccessful IVF treatments, use of own oocytes, necessity for a second or third treatment cycle, or if it was not unexplained infertility. The association of own versus donor oocyte with reduced odds of live birth strengthened with increasing age of the mother. A previous IVF live birth increased the odds of future success (OR 1.58, 95% CI 1.46-1.71 more than that of a previous spontaneous live birth (OR 1.19, 95% CI 0.99-1.24; p-value for difference in estimate <0.001. Use of ICSI increased the odds of live birth, and male causes of infertility were associated with reduced odds of live birth only in couples who had not received ICSI. Prediction of live birth was feasible with moderate discrimination and excellent calibration; calibration was markedly improved in the novel compared to the established model. Preterm birth and low birth weight were increased if oocyte donation was required and ICSI was not used. Risk of macrosomia increased with advancing

  8. Predicting live birth, preterm delivery, and low birth weight in infants born from in vitro fertilisation: a prospective study of 144,018 treatment cycles.

    Science.gov (United States)

    Nelson, Scott M; Lawlor, Debbie A

    2011-01-04

    The extent to which baseline couple characteristics affect the probability of live birth and adverse perinatal outcomes after assisted conception is unknown. We utilised the Human Fertilisation and Embryology Authority database to examine the predictors of live birth in all in vitro fertilisation (IVF) cycles undertaken in the UK between 2003 and 2007 (n = 144,018). We examined the potential clinical utility of a validated model that pre-dated the introduction of intracytoplasmic sperm injection (ICSI) as compared to a novel model. For those treatment cycles that resulted in a live singleton birth (n = 24,226), we determined the associates of potential risk factors with preterm birth, low birth weight, and macrosomia. The overall rate of at least one live birth was 23.4 per 100 cycles (95% confidence interval [CI] 23.2-23.7). In multivariable models the odds of at least one live birth decreased with increasing maternal age, increasing duration of infertility, a greater number of previously unsuccessful IVF treatments, use of own oocytes, necessity for a second or third treatment cycle, or if it was not unexplained infertility. The association of own versus donor oocyte with reduced odds of live birth strengthened with increasing age of the mother. A previous IVF live birth increased the odds of future success (OR 1.58, 95% CI 1.46-1.71) more than that of a previous spontaneous live birth (OR 1.19, 95% CI 0.99-1.24); p-value for difference in estimate live birth, and male causes of infertility were associated with reduced odds of live birth only in couples who had not received ICSI. Prediction of live birth was feasible with moderate discrimination and excellent calibration; calibration was markedly improved in the novel compared to the established model. Preterm birth and low birth weight were increased if oocyte donation was required and ICSI was not used. Risk of macrosomia increased with advancing maternal age and a history of previous live births

  9. Prediction

    CERN Document Server

    Sornette, Didier

    2010-01-01

    This chapter first presents a rather personal view of some different aspects of predictability, going in crescendo from simple linear systems to high-dimensional nonlinear systems with stochastic forcing, which exhibit emergent properties such as phase transitions and regime shifts. Then, a detailed correspondence between the phenomenology of earthquakes, financial crashes and epileptic seizures is offered. The presented statistical evidence provides the substance of a general phase diagram for understanding the many facets of the spatio-temporal organization of these systems. A key insight is to organize the evidence and mechanisms in terms of two summarizing measures: (i) amplitude of disorder or heterogeneity in the system and (ii) level of coupling or interaction strength among the system's components. On the basis of the recently identified remarkable correspondence between earthquakes and seizures, we present detailed information on a class of stochastic point processes that has been found to be particu...

  10. Weight Management

    Science.gov (United States)

    ... Health Information Weight Management English English Español Weight Management Obesity is a chronic condition that affects more ... Liver (NASH) Heart Disease & Stroke Sleep Apnea Weight Management Topics About Food Portions Bariatric Surgery for Severe ...

  11. Changes in Leptin and Peptide YY Do Not Explain the Greater-Than-Predicted Decreases in Resting Energy Expenditure After Weight Loss

    National Research Council Canada - National Science Library

    McNeil, Jessica; Schwartz, Alexander; Rabasa-Lhoret, Rémi; Lavoie, Jean-Marc; Brochu, Martin; Doucet, Éric

    2015-01-01

    ...) components during weight loss. Objective: The objective of the study was to examine the relationships between leptin, PYY, and body composition with different EE components before and after weight loss and whether changes in leptin and PYY...

  12. Human low molecular weight neurofilament (NFL) mRNA interacts with a predicted p190RhoGEF homologue (RGNEF) in humans.

    Science.gov (United States)

    Volkening, Kathryn; Leystra-Lantz, Cheryl; Strong, Michael J

    2010-01-01

    In the mouse, p190RhoGEF is a low molecular weight neurofilament (NFL) mRNA stability factor that is involved in NF aggregate formation in neurons. A human homologue of this protein has not been described. Our objective was to identify a human homologue of p190RhoGEF, and to determine its interaction with human NFL mRNA. We used sequence homology searches to predict a human homologue (RGNEF), and RT-PCR to determine the expression of mRNA in ALS and neuropathologically normal control tissues. Gel shift assays determined the interaction of RGNEF with human NFL mRNA in vitro, while IP-RT-PCR and gel shift assays were used to confirm the interaction in tissue lysates. We determined that RGNEF is a human homologue of p190RhoGEF, and that its RNA is expressed in both brain and spinal cord. While RGNEF and NFL mRNA interact directly in vitro, interestingly they only appear to interact in ALS lysates and not in controls. These data add another player to the family of NFL mRNA stability regulators, and raise the intriguing possibility that the mechanism by which p190RhoGEF contributes to murine neuronal NF aggregate formation may be important to human ALS NF aggregate formation.

  13. Is the Susceptibility Vessel Sign on 3-Tesla Magnetic Resonance T2*-Weighted Imaging a Useful Tool to Predict Recanalization in Intravenous Tissue Plasminogen Activator?

    Science.gov (United States)

    Yamamoto, N; Satomi, J; Harada, M; Izumi, Y; Nagahiro, S; Kaji, R

    2016-09-01

    The aim of this study was to investigate the independent factors associated with the absence of recanalization approximately 24 h after intravenous administration of tissue-type plasminogen activator (IV TPA). The previous studies have been conducted using 1.5-Tesla (T) magnetic resonance imaging (MRI). We studied whether the characteristics of 3-T MRI findings were useful to predict outcome and recanalization after IV tPA. Patients with internal carotid artery (ICA) or middle cerebral artery (MCA) (horizontal portion, M1; Sylvian portion, M2) occlusion and treated by IV tPA were enrolled. We studied whether the presence of susceptibility vessel sign (SVS) at M1 and low clot burden score on T2*-weighted imaging (T2*-CBS) on 3-T MRI were associated with the absence of recanalization. A total of 49 patients were enrolled (27 men; mean age, 73.9 years). MR angiography obtained approximately 24 h after IV tPA revealed recanalization in 21 (42.9 %) patients. Independent factors associated with the absence of recanalization included ICA or proximal M1 occlusion (odds ratio, 69.6; 95 % confidence interval, 5.05-958.8, p = 0.002). In this study, an independent factor associated with the absence of recanalization may be proximal occlusion of the cerebral arteries rather than SVS in the MCA or low T2*-CBS on 3-T MRI.

  14. Diffusion-weighted MRI, {sup 11}C-choline PET and {sup 18}F-fluorodeoxyglucose PET for predicting the Gleason score in prostate carcinoma

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Joe H. [Austin Health, Radiation Oncology Centre, Heidelberg, VIC (Australia); University of Melbourne, Parkville, VIC (Australia); Lim Joon, Daryl; Wada, Morikatsu [Austin Health, Radiation Oncology Centre, Heidelberg, VIC (Australia); Lee, Sze Ting; Scott, Andrew M. [Austin Health, Centre for PET, Heidelberg, VIC (Australia); University of Melbourne, Parkville, VIC (Australia); Ludwig Institute for Cancer Research, Heidelberg, VIC (Australia); Hiew, Chee-Yan; Esler, Stephen [Austin Health, Department of Radiology, Heidelberg, VIC (Australia); Gong, Sylvia J.; Tochon-Danguy, Henri; Chan, J.G. [Austin Health, Centre for PET, Heidelberg, VIC (Australia); Clouston, David [Tissupath, Mt Waverley, VIC (Australia); O' Sullivan, Richard [Epworth Hospital, Healthcare Imaging, Richmond, VIC (Australia); Goh, Yin P. [Diagnostic Imaging, Monash Health, Clayton, VIC (Australia); Bolton, Damien [Austin Health, Department of Urology, Heidelberg, VIC (Australia); University of Melbourne, Parkville, VIC (Australia); Khoo, Vincent [Austin Health, Radiation Oncology Centre, Heidelberg, VIC (Australia); University of Melbourne, Parkville, VIC (Australia); The Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Department of Clinical Oncology, London (United Kingdom); Davis, Ian D. [Monash University Eastern Health Clinical School, Box Hill, VIC (Australia)

    2014-03-15

    To evaluate the accuracy of transrectal ultrasound-guided (TRUS) biopsy, diffusion-weighted (DW) magnetic resonance imaging (MRI), {sup 11}C-choline (CHOL) positron emission tomography (PET), and {sup 18}F-fluorodeoxyglucose (FDG) PET in predicting the prostatectomy Gleason risk (GR). The study included 21 patients who underwent TRUS biopsy and multi-technique imaging before radical prostatectomy. Values from five different tests (TRUS biopsy, DW MRI, CHOL PET, FDG PET, and combined DW MRI/CHOL PET) were correlated with the prostatectomy GR using Spearman's ρ. Tests that were found to have significant correlations were used to classify patients into GR groups. The following tests had significant correlations with prostatectomy GR: TRUS biopsy (ρ = 0.617, P = 0.003), DW MRI (ρ = -0.601, P = 0.004), and combined DW MRI/CHOL PET (ρ = -0.623, P = 0.003). CHOL PET alone and FDG PET only had weak correlations. The correct GR classification rates were 67 % with TRUS biopsy, 67 % with DW MRI, and 76 % with combined DW MRI/CHOL PET. DW MRI and combined DW MRI/CHOL PET have significant correlations and high rates of correct classification of the prostatectomy GR, the strength and accuracy of which are comparable with TRUS biopsy. (orig.)

  15. Weighted Clustering

    CERN Document Server

    Ackerman, Margareta; Branzei, Simina; Loker, David

    2011-01-01

    In this paper we investigate clustering in the weighted setting, in which every data point is assigned a real valued weight. We conduct a theoretical analysis on the influence of weighted data on standard clustering algorithms in each of the partitional and hierarchical settings, characterising the precise conditions under which such algorithms react to weights, and classifying clustering methods into three broad categories: weight-responsive, weight-considering, and weight-robust. Our analysis raises several interesting questions and can be directly mapped to the classical unweighted setting.

  16. Prediction of height achievement at five years of age in children born very preterm or with very low birth weight : Continuation of catch-up growth after two years of age

    NARCIS (Netherlands)

    Qvigstad, E.; Verloove-Vanhorick, S.P.; Ens-Dokkum, M.H.; Schreuder, A.M.; Veen, S.; Brand, R.; Oostdijk, W.; Ruys, J.H.

    1993-01-01

    To predict height at five years in a cohort of 565 very preterm and/or very low-birth-weight children, hypothesized growth determinants were subjected to discriminant analysis. Many neonatal parameters were not significantly associated with short stature at five years of age. A correct classificatio

  17. The value of intravoxel incoherent motion model-based diffusion-weighted imaging for outcome prediction in resin-based radioembolization of breast cancer liver metastases

    Directory of Open Access Journals (Sweden)

    Pieper CC

    2016-07-01

    Full Text Available Claus Christian Pieper,1 Carsten Meyer,1 Alois Martin Sprinkart,1 Wolfgang Block,1 Hojjat Ahmadzadehfar,2 Hans Heinz Schild,1 Petra Mürtz,1 Guido Matthias Kukuk1 1Department of Radiology, 2Department of Nuclear Medicine, University of Bonn, Bonn, Germany Purpose: To evaluate prognostic values of clinical and diffusion-weighted magnetic resonance imaging-derived intravoxel incoherent motion (IVIM parameters in patients undergoing primary radioembolization for metastatic breast cancer liver metastases.Subjects and methods: A total of 21 females (mean age 54 years, range 43–72 years with liver-dominant metastatic breast cancer underwent standard liver magnetic resonance imaging (1.5 T, diffusion-weighted imaging with b-values of 0, 50, and 800 s/mm2 before and 4–6 weeks after radioembolization. The IVIM model-derived estimated diffusion coefficient D’ and the perfusion fraction f’ were evaluated by averaging the values of the two largest treated metastases in each patient. Kaplan–Meier and Cox regression analyses for overall survival (OS were performed. Investigated parameters were changes in f’- and D’-values after therapy, age, sex, Eastern Cooperative Oncology Group (ECOG status, grading of primary tumor, hepatic tumor burden, presence of extrahepatic disease, baseline bilirubin, previous bevacizumab therapy, early stasis during radioembolization, chemotherapy after radioembolization, repeated radioembolization and Response Evaluation Criteria in Solid Tumors (RECIST response at 6-week follow-up.Results: Median OS after radioembolization was 6 (range 1.5–54.9 months. In patients with therapy-induced decreasing or stable f’-values, median OS was significantly longer than in those with increased f’-values (7.6 [range 2.6–54.9] vs 2.6 [range 1.5–17.4] months, P<0.0001. Longer median OS was also seen in patients with increased D’-values (6 [range 1.6–54.9] vs 2.8 [range 1.5–17.4] months, P=0.008. Patients with

  18. Predicting Acorn-Grass Weight Gain Index using non-destructive Near Infrared Spectroscopy in order to classify Iberian pig carcasses according to feeding regime

    Directory of Open Access Journals (Sweden)

    Pérez-Marín, D.

    2013-04-01

    Full Text Available The classification of Iberian pig carcasses into different commercial categories according to feeding regime was evaluated by means of a non-destructive analysis of the subcutaneous adipose tissue using Near Infrared Spectroscopy (NIRS. A quantitative approach was used to predict the Acorn-Grass Weight Gain Index (AGWGI, and a set of criteria was established for commercial classification purposes. A total of 719 animals belonging to various batches, reflecting a wide range of feeding regimes, production systems and years, were analyzed with a view to developing and evaluating quantitative NIRS models. Results for the external validation of these models indicate that NIRS made clear differentiation of batches as a function of three feeding regimes possible with high accuracy (Acorn, Recebo and Feed, on the basis of the mean representative spectra of each batch. Moreover, individual analysis of the animals showed a broad consensus between field inspection information and the classification based on the AGWGI NIRS prediction, especially for extreme categories (Acorn and Feed.La clasificación en distintas categorías comerciales según régimen alimenticio de canales de cerdo Ibérico fue evaluada mediante el análisis no destructivo de muestras de tejido adiposo subcutáneo por Espectroscopía del Infrarrojo Cercano (NIRS. Partiendo de una aproximación cuantitativa para predecir el Índice de Reposición en Montanera (IRM se establecieron una serie de criterios para proceder a su clasificación comercial. Se analizaron un total de 719 animales pertenecientes a diversas partidas, que recogen una amplia variabilidad de muestras de distintos regímenes alimenticios, campañas y sistemas productivos, para el desarrollo y evaluación de los modelos NIRS cuantitativos. Los resultados de validación externa de los modelos indicaron que es posible discriminar con una gran exactitud entre partidas de distintos categorías (Bellota, Recebo y Cebo, en base

  19. Microembolic signal monitoring and the prediction of thromboembolic events following coil embolization of unruptured intracranial aneurysms: diffusion-weighted imaging correlation

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Jae-Hoon; Park, Jaechan [Kyungpook National University Hospital, Department of Neurosurgery, Daegu (Korea, Republic of); Kang, Dong-Hun [Kyungpook National University Hospital, Department of Neurosurgery, Daegu (Korea, Republic of); Kyungpook National University Hospital, Department of Radiology, Daegu (Korea, Republic of); Kim, Yong-Won [Kyungpook National University Hospital, Department of Neurology, Daegu (Korea, Republic of); Kyungpook National University Hospital, Department of Radiology, Daegu (Korea, Republic of); Kim, Yong-Sun [Kyungpook National University Hospital, Department of Radiology, Daegu (Korea, Republic of)

    2014-10-12

    Microembolic signal (MES) monitoring with transcranial Doppler ultrasonography (TCD) may allow for early prediction of thromboembolisms following endovascular coiling of unruptured intracranial aneurysms (UIAs). However, the method has not gained widespread use and may benefit from correlation with diffusion-weighted imaging (DWI) of acute ischemic lesions after coiling. This purposed to evaluate the relationship between MESs and DWI-positive lesions more precisely. We conducted a prospective study on 45 consecutive patients. TCD was performed over the artery that is dependent on the site of aneurysm, but seven patients (15.6 %) could not be examined due to the lack of an adequate cranial window. Consequently, 38 patients were available to detect MESs immediately (MES-1) and 24 h (MES-2) after coiling for UIAs. We also checked DWI 1 day after the coiling and analyzed correlations between the TCD and DWI findings. MES-1 and MES-2 were positive in 25 (65.7 %) and 14 (36.8 %) patients, respectively. DWI-positive lesions were seen in 20 (52.6 %) patients, and only 1 (2.6 %) patient was symptomatic. MES-1 and MES-2 were strongly correlated with the number of DWI-positive lesions (Spearman's correlation coefficient = 0.79 and 0.70, P < 0.01 and P < 0.01, respectively). Additionally, there was a significant correlation between MES-1 and MES-2 (Spearman's correlation coefficient = 0.70). Based upon the significant correlation between MES and DWI findings, MES may have a role for early detection of ischemic complications after coiling of UIAs. In addition, future study for further validation with clinical application seems requiring. (orig.)

  20. Development and Validation of a Risk Score Predicting Substantial Weight Gain over 5 Years in Middle-Aged European Men and Women

    DEFF Research Database (Denmark)

    Steffen, Annika; Sørensen, Thorkild; Knüppel, Sven

    2013-01-01

    Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population.......Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population....

  1. Suppression effects on musical and verbal memory.

    Science.gov (United States)

    Schendel, Zachary A; Palmer, Caroline

    2007-06-01

    Three experiments contrasted the effects of articulatory suppression on recognition memory for musical and verbal sequences. In Experiment 1, a standard/comparison task was employed, with digit or note sequences presented visually or auditorily while participants remained silent or produced intermittent verbal suppression (saying "the") or musical suppression (singing "la"). Both suppression types decreased performance by equivalent amounts, as compared with no suppression. Recognition accuracy was lower during suppression for visually presented digits than during that for auditorily presented digits (consistent with phonological loop predictions), whereas accuracy was equivalent for visually presented notes and auditory tones. When visual interference filled the retention interval in Experiment 2, performance with visually presented notes but not digits was impaired. Experiment 3 forced participants to translate visually presented music sequences by presenting comparison sequences auditorily. Suppression effects for visually presented music resembled those for digits only when the recognition task required sensory translation of cues.

  2. Chromatographic retention prediction and octanol-water partition coefficient determination of monobasic weak acidic compounds in ion-suppression reversed-phase liquid chromatography using acids as ion-suppressors.

    Science.gov (United States)

    Ming, Xin; Han, Shu-ying; Qi, Zheng-chun; Sheng, Dong; Lian, Hong-zhen

    2009-08-15

    Although simple acids, replacing buffers, have been widely applied to suppress the ionization of weakly ionizable acidic analytes in reversed-phase liquid chromatography (RPLC), none of the previously reported works focused on the systematic studies about the retention behavior of the acidic solutes in this ion-suppression RPLC mode. The subject of this paper was therefore to investigate the retention behavior of monobasic weak acidic compounds using acetic, perchloric and phosphoric acids as the ion-suppressors. The apparent octanol-water partition coefficient (K" ow) was proposed to calibrate the octanol-water partition coefficient (K(ow)) of these weak acidic compounds, which resulted in a better linear correlation with log k(w), the logarithm of the hypothetical retention factor corresponding to neat aqueous fraction of hydroorganic mobile phase. This log K" ow-log k w linear correlation was successfully validated by the results of monocarboxylic acids and monohydrating phenols, and moreover by the results under diverse experimental conditions for the same solutes. This straightforward relationship not only can be used to effectively predict the retention values of weak acidic solutes combined with Snyder-Soczewinski equation, but also can offer a promising medium for directly measuring K(ow) data of these compounds via Collander equation. In addition, the influence of the different ion-suppressors on the retention of weak acidic compounds was also compared in this RPLC mode.

  3. High temperature suppression of dioxins.

    Science.gov (United States)

    Zhan, Ming-Xiu; Chen, Tong; Fu, Jian-Ying; Lin, Xiao-Qing; Lu, Sheng-Yong; Li, Xiao-Dong; Yan, Jian-Hua; Buekens, Alfons

    2016-03-01

    Combined Sulphur-Nitrogen inhibitors, such as sewage sludge decomposition gases (SDG), thiourea and amidosulphonic acid have been observed to suppress the de novo synthesis of dioxins effectively. In this study, the inhibition of PCDD/Fs formation from model fly ash was investigated at unusually high temperatures (650 °C and 850 °C), well above the usual range of de novo tests (250-400 °C). At 650 °C it was found that SDG evolving from dried sewage sludge could suppress the formation of 2,3,7,8-substituted PCDD/Fs with high efficiency (90%), both in weight units and in I-TEQ units. Additionally, at 850 °C, three kinds of sulphur-amine or sulphur-ammonium compounds were tested to inhibit dioxins formation during laboratory-scale tests, simulating municipal solid waste incineration. The suppression efficiencies of PCDD/Fs formed through homogeneous gas phase reactions were all above 85% when 3 wt. % of thiourea (98.7%), aminosulphonic acid (96.0%) or ammonium thiosulphate (87.3%) was added. Differences in the ratio of PCDFs/PCDDs, in weight average chlorination level and in the congener distribution of the 17 toxic PCDD/Fs indicated that the three inhibitors tested followed distinct suppression pathways, possibly in relation to their different functional groups of nitrogen. Furthermore, thiourea reduced the (weight) average chlorinated level. In addition, the thermal decomposition of TUA was studied by means of thermogravimetry-fourier transform infrared spectroscopy (TG-FTIR) and the presence of SO2, SO3, NH3 and nitriles (N≡C bonds) was shown in the decomposition gases; these gaseous inhibitors might be the primary dioxins suppressants.

  4. Cross-Validation of a Recently Published Equation Predicting Energy Expenditure to Run or Walk a Mile in Normal-Weight and Overweight Adults

    Science.gov (United States)

    Morris, Cody E.; Owens, Scott G.; Waddell, Dwight E.; Bass, Martha A.; Bentley, John P.; Loftin, Mark

    2014-01-01

    An equation published by Loftin, Waddell, Robinson, and Owens (2010) was cross-validated using ten normal-weight walkers, ten overweight walkers, and ten distance runners. Energy expenditure was measured at preferred walking (normal-weight walker and overweight walkers) or running pace (distance runners) for 5 min and corrected to a mile. Energy…

  5. Development and Validation of a Risk Score Predicting Substantial Weight Gain over 5 Years in Middle-Aged European Men and Women

    DEFF Research Database (Denmark)

    Steffen, Annika; Sørensen, Thorkild; Knüppel, Sven;

    2013-01-01

    Identifying individuals at high risk of excess weight gain may help targeting prevention efforts at those at risk of various metabolic diseases associated with weight gain. Our aim was to develop a risk score to identify these individuals and validate it in an external population....

  6. PIK3R1 targeting by miR-21 suppresses tumor cell migration and invasion by reducing PI3K/AKT signaling and reversing EMT, and predicts clinical outcome of breast cancer.

    Science.gov (United States)

    Yan, Li-Xu; Liu, Yan-Hui; Xiang, Jian-Wen; Wu, Qi-Nian; Xu, Lei-Bo; Luo, Xin-Lan; Zhu, Xiao-Lan; Liu, Chao; Xu, Fang-Ping; Luo, Dong-Lan; Mei, Ping; Xu, Jie; Zhang, Ke-Ping; Chen, Jie

    2016-02-01

    We have previously shown that dysregulation of miR-21 functioned as an oncomiR in breast cancer. The aim of the present study was to elucidate the mechanisms by which miR-21 regulate breast tumor migration and invasion. We applied pathway analysis on genome microarray data and target-predicting algorithms for miR-21 target screening, and used luciferase reporting assay to confirm the direct target. Thereafter, we investigated the function of the target gene phosphoinositide-3-kinase, regulatory subunit 1 (α) (PIK3R1), and detected PIK3R1 coding protein (p85α) by immunohistochemistry and miR-21 by RT-qPCR on 320 archival paraffin-embedded tissues of breast cancer to evaluate the correlation of their expression with prognosis. First, we found that PIK3R1 suppressed growth, invasiveness, and metastatic properties of breast cancer cells. Next, we identified the PIK3R1 as a direct target of miR-21 and showed that it was negatively regulated by miR-21. Furthermore, we demonstrated that p85α overexpression phenocopied the suppression effects of antimiR-21 on breast cancer cell growth, migration and invasion, indicating its tumor suppressor role in breast cancer. On the contrary, PIK3R1 knockdown abrogated antimiR‑21-induced effect on breast cancer cells. Notably, antimiR-21 induction increased p85α, accompanied by decreased p-AKT level. Besides, antimiR-21/PIK3R1-induced suppression of invasiveness in breast cancer cells was mediated by reversing epithelial-mesenchymal transition (EMT). p85α downregulation was found in 25 (7.8%) of the 320 breast cancer patients, and was associated with inferior 5-year disease-free survival (DFS) and overall survival (OS). Taken together, we provide novel evidence that miR-21 knockdown suppresses cell growth, migration and invasion partly by inhibiting PI3K/AKT activation via direct targeting PIK3R1 and reversing EMT in breast cancer. p85α downregulation defined a specific subgroup of breast cancer with shorter 5-year DFS and OS

  7. Weight Control

    Science.gov (United States)

    ... obese. Achieving a healthy weight can help you control your cholesterol, blood pressure and blood sugar. It ... use more calories than you eat. A weight-control strategy might include Choosing low-fat, low-calorie ...

  8. Weighted Clustering

    DEFF Research Database (Denmark)

    Ackerman, Margareta; Ben-David, Shai; Branzei, Simina

    2012-01-01

    We investigate a natural generalization of the classical clustering problem, considering clustering tasks in which different instances may have different weights.We conduct the first extensive theoretical analysis on the influence of weighted data on standard clustering algorithms in both...... the partitional and hierarchical settings, characterizing the conditions under which algorithms react to weights. Extending a recent framework for clustering algorithm selection, we propose intuitive properties that would allow users to choose between clustering algorithms in the weighted setting and classify...

  9. Birth Weight

    Science.gov (United States)

    ... baby, taken just after he or she is born. A low birth weight is less than 5.5 pounds. A high ... weight is more than 8.8 pounds. A low birth weight baby can be born too small, too early (premature), or both. This ...

  10. ADME evaluation in drug discovery. 2. Prediction of partition coefficient by atom-additive approach based on atom-weighted solvent accessible surface areas.

    Science.gov (United States)

    Hou, T J; Xu, X J

    2003-01-01

    A novel method for the calculations of 1-octanol/water partition coefficient (log P) of organic molecules has been presented here. The method, SLOGP v1.0, estimates the log P values by summing the contribution of atom-weighted solvent accessible surface areas (SASA) and correction factors. Altogether 100 atom/group types were used to classify atoms with different chemical environments, and two correlation factors were used to consider the intermolecular hydrophobic interactions and intramolecular hydrogen bonds. Coefficient values for 100 atom/group and two correction factors have been derived from a training set of 1850 compounds. The parametrization procedure for different kinds of atoms was performed as follows: first, the atoms in a molecule were defined to different atom/group types based on SMARTS language, and the correction factors were determined by substructure searching; then, SASA for each atom/group type was calculated and added; finally, multivariate linear regression analysis was applied to optimize the hydrophobic parameters for different atom/group types and correction factors in order to reproduce the experimental log P. The correlation based on the training set gives a model with the correlation coefficient (r) of 0.988, the standard deviation (SD) of 0.368 log units, and the absolute unsigned mean error of 0.261. Comparison of various procedures of log P calculations for the external test set of 138 organic compounds demonstrates that our method bears very good accuracy and is comparable or even better than the fragment-based approaches. Moreover, the atom-additive approach based on SASA was compared with the simple atom-additive approach based on the number of atoms. The calculated results show that the atom-additive approach based on SASA gives better predictions than the simple atom-additive one. Due to the connection between the molecular conformation and the molecular surface areas, the atom-additive model based on SASA may be a more

  11. The effect of dexamethasone on respirator-dependent very-low-birth-weight infants is best predicted by chest X-ray

    Energy Technology Data Exchange (ETDEWEB)

    Schrod, L.; Neuhaus, T. [Dept. of Paediatrics, Univ. of Wuerzburg (Germany); Horwitz, A.E. [Dept. of Radiology/Paediatric Radiology, Univ. of Wuerzburg (Germany); Speer, C.P. [Dept. of Neonatology, Univ. of Tuebingen (Germany)

    2001-05-01

    Background. Chronic lung disease (CLD) in premature infants shows a variable clinical course with different radiological manifestations. Objective. To evaluate the correlation between parameters of transmembrane permeability [albumin/secretory component (SC)] and oxidative stress [malondialdehyde (MDA)/SC] in tracheal aspirate fluid (TAF) and radiological findings with the effect of a 5-day course of dexamethasone (0.5 mg/kg per day). Materials and methods. Fifty ventilator-dependent premature infants with birth weights < 1,500 g (gestational ages 23-31 weeks) and radiological signs of early chronic lung disease (CLD) were treated with dexamethasone at day of life 5-27 (median 10 days) because of respiratory deterioration. TAF was collected serially. Chest X-rays taken before and 8-10 days after dexamethasone were scored for changes of opacification, consolidation and hyperinflation/emphysema, and classified into three groups. Results. Twenty-four infants had a positive response to dexamethasone, defined as a reduction of the ventilation index FiO{sub 2} x mean airway pressure > 40 % at day 5, compared to pretreatment values. About 80 % of the responders showed homogeneous lung opacification on chest X-ray, reflecting leaky lung syndrome. In contrast, seven of eight infants with predominantly emphysema on radiology were non-responders; 80 % of infants with a mixed radiological picture characterized by predominance of consolidations alternating with regions of emphysema were also non-responders. Ratios of albumin/SC and MDA/SC in TAF decreased significantly within 3 days after the onset of dexamethasone. However, MDA/SC was persistently higher in non-responders compared to responders. Opaque lungs were largely improved by dexamethasone, in contrast to streaky or patchy consolidations and emphysema. In a logistic regression model, radiographic classification was the most important factor influencing the response to dexamethasone with a positive predictive value of 86

  12. Prediction of clinical outcome after stereotactic body radiotherapy for non-small cell lung cancer using diffusion-weighted MRI and {sup 18}F-FDG PET

    Energy Technology Data Exchange (ETDEWEB)

    Iizuka, Yusuke [Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto (Japan); Matsuo, Yukinori, E-mail: ymatsuo@kuhp.kyoto-u.ac.jp [Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto (Japan); Umeoka, Shigeaki; Nakamoto, Yuji [Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto (Japan); Ueki, Nami; Mizowaki, Takashi [Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto (Japan); Togashi, Kaori [Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto (Japan); Hiraoka, Masahiro [Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto (Japan)

    2014-11-15

    Highlights: • We evaluated DW-MRI and FDG-PET as prognostic factor for NSCLC treated with SBRT. • Lower ADC value was relevant to disease progression after SBRT. • Higher SUV{sub max} was relevant to disease progression after SBRT. • Using both values in combination was a better predictor. - Abstract: Purpose/objectives: To evaluate the use of diffusion-weighted magnetic resonance imaging (DW-MRI) and {sup 18}F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for predicting disease progression (DP) among patients with non-small cell lung carcinoma (NSCLC) treated with stereotactic body radiotherapy (SBRT). Materials/methods: Fifteen patients with histologically confirmed stage I NSCLC who underwent pre-treatment DW-MRI and PET and were treated with SBRT were enrolled. The mean apparent diffusion coefficient (ADC) value and maximum standardised uptake value (SUV{sub max}) were measured at the target lesion and evaluated for correlations with DP. Results: The median pre-treatment ADC value was 1.04 × 10{sup −3} (range 0.83–1.29 × 10{sup −3}) mm{sup 2}/s, and the median pre-treatment SUV{sub max} was 9.9 (range 1.6–30). There was no correlation between the ADC value and SUV{sub max}. The group with the lower ADC value (≤1.05 × 10{sup −3} mm{sup 2}/s) and that with a higher SUV{sub max} (≥7.9) tended to have poor DP, but neither trend was statistically significant (p = 0.09 and 0.32, respectively). The combination of the ADC value and SUV{sub max} was a statistically significant predictor of DP (p = 0.036). Conclusion: A low ADC value on pre-treatment DW-MRI and a high SUV{sub max} may be associated with poor DP in NSCLC patients treated with SBRT. Using both values in combination was a better predictor.

  13. Self-reported weight at birth predicts measures of femoral size but not volumetric BMD in eldery men: MrOS.

    Science.gov (United States)

    Javaid, M Kassim; Prieto-Alhambra, Daniel; Lui, Li-Yung; Cawthon, Peggy; Arden, Nigel K; Lang, Thomas; Lane, Nancy E; Orwoll, Eric; Barrett-Conner, Elizabeth; Nevitt, Michael C; Cooper, Cyrus; Cummings, Steven R

    2011-08-01

    The mechanism whereby poor intrauterine growth increases risk of adult hip fracture is unclear. We report the association between birth weight and proximal femoral geometry and density in community-dwelling elderly men. We used self-reported birth weight, measured adult height and weight and proximal femoral quantitative computed tomography (QCT) measurements of femoral neck axis length, cross-sectional area, and volumetric BMD (vBMD) among the participants in the Osteoporotic Fractures in Men (MrOS), a cohort study of community-dwelling US men aged 65 and older. We compared men with birth weight <7 pounds (lower birth weight [LBW]; n = 501) and ≥ 9 pounds (higher birth weight [HBW]; n = 262) with those weighing 7-8.9 pounds (medium birth weight [MBW], referent group; n = 1068) using linear regression adjusting for current age, height, and BMI. The mean age of the 1831 men who had both birth weight and QCT measurements was 73 years (SD 5.9). Compared with the referent MBW, HBW men had concordantly longer femoral neck (+0.16 SD; p = .028) and cross-sectional area (+0.24 SD, p = .001). LBW men had a smaller cross-sectional (-0.26 SD, p < .001) but longer femoral neck for their height (+0.11 SD, p = .05). Neither cortical nor trabecular vBMD at the femoral neck was associated with birth weight. These findings support the hypothesis that the skeletal envelope, but not density, is set, in part, at birth. Further research exploring the association between early developmental factors and lifetime fracture risk is needed and may inform primary preventative strategies for fracture prevention.

  14. Accuracy of the CT-estimated weight of the right hepatic lobe prior to living related liver donation (LRLD) for predicting the intraoperatively measured weight of the graft; Vorraussagegenauigkeit der praeoperativen CT-gestuetzten Gewichtsbestimmung des rechten Leberlappens bezueglich des intraoperativen Transplantatgewichts bei Leberlappen-Lebendspendern

    Energy Technology Data Exchange (ETDEWEB)

    Lemke, A.-J.; Brinkmann, M.; Felix, R. [Universitaetsklinikum Charite, Berlin (Germany). Klinik fuer Strahlenheilkunde; Pascher, A.; Steinmueller, T.; Settmacher, U.; Neuhaus, P. [Universitaetsklinikum Charite, Berlin (Germany). Klinik fuer Allgemein-, Viszeral- und Transplantationschirurgie

    2003-09-01

    Purpose: Due to the shortage of cadaver donors, living related liver donation (LRLD) has emerged as an alternative to cadaver donation. The expected graft weight is one of the main determinants for donor selection. This study investigates the accuracy of preoperatively performed CT-volumetry to predict the actual weight of the right liver lobe graft. Materials and methods: In a prospective study the weight of the right hepatic lobe was calculated by volumetric analysis based on CT in 33 patients (21 females, 12 males, mean age 42.1 years, median age 41 years) prior to living related liver donation. Graft weight was calculated as the product of CT-based graft volume and 1.00 g/ml (the approximated density of healthy liver parenchyma). The calculated weight was compared with the intraoperatively measured weight of the harvested right hepatic lobe. The difference was used to determine a correction factor for estimating the actual graft weight. Results: Based on the assumption of a parenchymal density of 1.00 g/ml, the preoperatively estimated graft weight (mean 980 g {+-} 168 g) deviated + 33% from the intraoperatively measured right hepatic lobe weight (mean 749 g {+-} 170 g). By reducing the preoperatively predicted weight of the right hepatic lobe with a correction factor of 0.75, the actual graft weight can be calculated. [German] Ziel: Vor dem Hintergrund des bestehenden Mangels an Spenderorganen stellt die Leberlappen-Lebendspende eine Alternative zur Leichenspende dar. Massgeblich fuer die Auswahl des Spenders ist das zu erwartende Transplantatgewicht. Ziel der Studie war, die Voraussagegenauigkeit der praeoperativen CT-gestuetzten Gewichtsbestimmung auf Basis einer Volumetrie des rechten Leberlappens bezueglich des intraoperativen Transplantatgewichts zu ueberpruefen. Methodik: In einer prospektiven Studie wurde bei 33 Patienten (21 Frauen, 12 Maennern, mittleres Alter 42,1 Jahre, medianes Alter 41 Jahre) vor Leberlappen-Lebendspende auf der Basis von CT

  15. Growth during the first two years predicts pre-school height in children born with very low birth weight (VLBW): results of a study of 1,320 children in Germany.

    Science.gov (United States)

    Trebar, Branko; Traunecker, Richard; Selbmann, Hans-Konrad; Ranke, Michael B

    2007-08-01

    Children born with very low birth weight (VLBW) are at risk of impaired growth. We aimed to study VLBW survivors (90.8%) born in 1998/1999 in the state of Baden-Württemberg (n = 2103) for whom growth data were available up to age six. Classification as appropriate for gestational age (AGA) or small for gestational age (SGA) depended on size at birth. Models to predict height SDS at 5 y were developed using data for 1 yr (Model 1) and 2 yrs (Model 2). The data of 1320 (63%) children were available: SGA: n = 730, AGA: n = 590. At 6 yrs, 8.3% AGA and 13.4% SGA children were short (weight SDS, birth weight SDS; (b) Model 2 (n = 991; R2 = 0.72; error: 0.65 SDS): 1st yr Ht SDS; change (2nd yr) in Ht and weight SDS; MPH SDS; 1st yr weight SDS; birth weight SDS. Thus, some AGA and SGA children born VLBW remain short and preventive strategies need to be developed for those at risk.

  16. Infant adiposity at birth and early postnatal weight gain predict increased aortic intima-media thickness at 6 weeks of age: a population-derived cohort study.

    Science.gov (United States)

    McCloskey, Kate; Burgner, David; Carlin, John B; Skilton, Michael R; Cheung, Michael; Dwyer, Terence; Vuillermin, Peter; Ponsonby, Anne-Louise

    2016-03-01

    Infant body composition and postnatal weight gain have been implicated in the development of adult obesity and cardiovascular disease, but there are limited prospective data regarding the association between infant adiposity, postnatal growth and early cardiovascular parameters. Increased aortic intima-media thickness (aortic IMT) is an intermediate phenotype of early atherosclerosis. The aim of the present study was to investigate the relationship between weight and adiposity at birth, postnatal growth and aortic IMT. The Barwon Infant Study (n=1074 mother-infant pairs) is a population-derived birth cohort. Infant weight and other anthropometry were measured at birth and 6 weeks of age. Aortic IMT was measured by trans-abdominal ultrasound at 6 weeks of age (n=835). After adjustment for aortic size and other factors, markers of adiposity including increased birth weight (β=19.9 μm/kg, 95%CI 11.1, 28.6; Pinfant weight and adiposity at birth, as well as increased early weight gain, were positively associated with aortic IMT. Excessive accumulation of adiposity during gestation and early infancy may have adverse effects on cardiovascular risk.

  17. Correlation Weights in Multiple Regression

    Science.gov (United States)

    Waller, Niels G.; Jones, Jeff A.

    2010-01-01

    A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…

  18. Baseline leptin and leptin reduction predict improvements in metabolic variables and long-term fat loss in obese children and adolescents: a prospective study of an inpatient weight-loss program.

    Science.gov (United States)

    Murer, Stefanie B; Knöpfli, Bruno H; Aeberli, Isabelle; Jung, Andreas; Wildhaber, Johannes; Wildhaber-Brooks, Joanne; Zimmermann, Michael B

    2011-04-01

    It is unclear whether high plasma leptin in obese individuals represents leptin resistance or whether individuals with marked reductions in leptin concentrations in response to weight loss may be at greater risk of regaining weight. Moreover, whether changes in leptin predict metabolic improvements during weight loss is uncertain. The objective was to prospectively examine associations between plasma leptin, body fat, and weight and metabolic risk factors in obese children during weight loss. In obese children and adolescents [n = 203; mean age: 14.1 y, >98th body mass index (BMI) percentile for age and sex] participating in a 2-mo inpatient weight-loss program, we measured changes in body composition (by dual-energy X-ray absorptiometry), plasma leptin, insulin, and lipids. After discharge, anthropometric measures and plasma leptin were remeasured at 6 (n = 139) and 12 (n = 100) mo. During the 2-mo program, mean (±SD) weight and fat loss were 13.9 ± 4.0 kg and 9.2 ± 2.5 kg, respectively; and mean plasma leptin decreased by 76%. Weight and fat loss were sustained, and no significant differences in BMI-SD score (SDS) or body composition were found between 12 and 2 mo. Baseline leptin was a negative predictor for percentage fat loss at 2, 6, and 12 mo (P loss, and change in BMI-SDS at 2 and 6 mo (P loss of body fat and improvements in lipids and insulin sensitivity can be achieved. Thus, increased plasma leptin in obese children may not necessarily reflect leptin resistance; many children appear to remain leptin sensitive at this age.

  19. Attachment anxiety predicts poor adherence to dietary recommendations: an indirect effect on weight change 1 year after gastric bypass surgery.

    Science.gov (United States)

    Aarts, Floor; Geenen, Rinie; Gerdes, Victor E A; van de Laar, Arnold; Brandjes, Dees P M; Hinnen, Chris

    2015-04-01

    Weight loss after gastric bypass surgery depends on the adoption of healthy dietary recommendations, which may be influenced by psychological issues and patients' attachment representations (habitual states of mind with respect to interpersonal relations). The present study tests (1) whether attachment representations are associated with dietary adherence, (2) whether dietary adherence and weight loss are correlated and (3) whether dietary adherence mediates the relation of attachment representations with weight reduction after gastric bypass surgery. Besides attachment representations, psychological problems are examined. This longitudinal study included 105 patients who had a laparoscopic Roux-en-Y gastric bypass operation. Current and past psychological problems and attachment representations were assessed before surgery. Dietary adherence was assessed 6 and 12 months postsurgery. Patients' weight and height were collected from medical records. Multiple linear and logistic regression analyses and mediation analyses using bootstrapping resampling procedures were conducted. Of all examined predictor variables, attachment anxiety, i.e., fear of social rejection and abandonment, was most strongly associated with low dietary adherence at both 6 months (p = 0.009) and 12 months (p = 0.006) postsurgery. Dietary adherence 6 months postsurgery was associated with weight loss 1 year after the operation (p = 0.003). Dietary adherence at 6 months (β = 0.51; 95% confidence interval (CI) = 0.19-1.04) mediated the association between preoperative attachment anxiety and postoperative weight loss. The results suggest that more anxiously attached patients are less adherent to dietary recommendations 6 months after gastric bypass surgery, influencing weight loss in a negative way during the first year after surgery.

  20. Joint Model of Weighted Least-squares and AR in Prediction of Polar Motion%加权最小二乘法与AR组合模型在极移预测中的应用研究

    Institute of Scientific and Technical Information of China (English)

    张昊; 王琪洁; 朱建军; 张晓红

    2011-01-01

    Earth rotation parameters (ERPs) include length of day and polar motion. Precise transformations between the international celestial and terrestrial reference frames are needed for many advanced geodetic and astronomical tasks including positioning and navigation on Earth and in space. To perform this transformation, accurate ERPs are necessary. However, the precise measurements of ERPs by space-geodetic techniques have to be pre-processed before the ERPs are available. This causes a delay of 15 to 20 hours in case of GPS and of a few days in case of very-long-baseline interferometry (VLBI) and satellite laser ranging (SLR).Thus it's necessary to predict the ERPs over at least a few days. In addition, it might be interesting to look further into the future to estimate the Earth's rotation in the next few months. Therefore, this paper deals with short-term predictions for next 30 days, long-term predictions for 360 days.Various prediction methods have been developed, such as the joint model of least-squares and AR, joint model of least-squares and artificial neural networks(ANN), and so on. These methods most treat the Chandler Wobble(CW) and Annual Wobble(AW) of the polar motion as constants. However, the CW and AW are of time variant characteristics as a matter of fact. This paper puts forward a new joint model of weighted least-squares(WLS) and AR, according to the time variant characteristics of CW and AW. One important issue in building the WLS+AR model is the right choice of the weight matrix P. According to the statistical properties of the polar motion series, the rule of weight choice is determined: the fitting value nearer to prediction value is given larger weight. In accordance with the rule, three kinds of weight function are built and compared in order to assess the weight function of the weighted least-squares. The more appropriate weight function for X series and Y series are suggested respectively. Finally the WLS+AR model is compared with LS

  1. Suppression of pool fires with HRC-125 in a simulated engine nacelle.

    Energy Technology Data Exchange (ETDEWEB)

    Keyser, David R. (INS, Inc., Lexington Park, MD); Hewson, John C.

    2007-06-01

    CFD simulations are conducted to predict the distribution of fire suppressant in an engine nacelle and to predict the suppression of pool fires by the application of this suppressant. In the baseline configuration, which is based on an installed system, suppressant is injected through four nozzles at a rate fast enough to suppress all simulated pool fires. Variations that reduce the mass of the suppression system (reducing the impact of the suppression system on meeting mission needs) are considered, including a reduction in the rate of suppressant injection, a reduction in the mass of suppressant and a reduction in the number of nozzles. In general, these variations should work to reduce the effectiveness of the suppression system, but the CFD results point out certain changes that have negligible impact, at least for the range of phenomena considered here. The results are compared with measurements where available. Comparisons with suppressant measurements are reasonable. A series of twenty-three fire suppression tests were conducted to check the predictions. The pre-test predictions were generally successful in identifying the range of successful suppression tests. In two separate cases, each where one nozzle of the suppression system was capped, the simulation results did indicate a failure to suppress for a condition where the tests indicated successful suppression. When the test-suppressant discharge rate was reduced by roughly 25%, the tests were in agreement with the predictions. That is, the simulations predict a failure to suppress slightly before observed in these cases.

  2. Weight loss, weight maintenance, and adaptive thermogenesis.

    Science.gov (United States)

    Camps, Stefan G J A; Verhoef, Sanne P M; Westerterp, Klaas R

    2013-05-01

    Diet-induced weight loss is accompanied by adaptive thermogenesis, ie, a disproportional or greater than expected reduction of resting metabolic rate (RMR). The aim of this study was to investigate whether adaptive thermogenesis is sustained during weight maintenance after weight loss. Subjects were 22 men and 69 women [mean ± SD age: 40 ± 9 y; body mass index (BMI; in kg/m(2)): 31.9 ± 3.0]. They followed a very-low-energy diet for 8 wk, followed by a 44-wk period of weight maintenance. Body composition was assessed with a 3-compartment model based on body weight, total body water (deuterium dilution), and body volume. RMR was measured (RMRm) with a ventilated hood. In addition, RMR was predicted (RMRp) on the basis of the measured body composition: RMRp (MJ/d) = 0.024 × fat mass (kg) + 0.102 × fat-free mass (kg) + 0.85. Measurements took place before the diet and 8, 20, and 52 wk after the start of the diet. The ratio of RMRm to RMRp decreased from 1.004 ± 0.077 before the diet to 0.963 ± 0.073 after the diet (P after 20 wk (0.983 ± 0.063; P weight loss after 8 wk (P Weight loss results in adaptive thermogenesis, and there is no indication for a change in adaptive thermogenesis up to 1 y, when weight loss is maintained. This trial was registered at clinicaltrials.gov as NCT01015508.

  3. WE-G-BRD-09: Prediction of Local Control/Failure by Using Feature Histogram Selection in Follow-Up T2-Weighted MR Image in Spinal Tumors After Stereotactic Body Radiation Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, J; Harb, J; Jawad, M; Yee, S; Schulze, D; Liang, J; Grills D, Yan [William Beaumont Hospital, Royal Oak, MI (United States)

    2014-06-15

    Purpose: In follow-up T2-weighted MR images of spinal tumor patients treated with stereotactic body radiation therapy (SBRT), high intensity features embedded in dark surroundings may suggest a local failure (LF). We investigated image intensity histogram in imaging features to predict LF and local control (LC). Methods: Sixty-seven spinal tumors were treated with SBRT at our institution with scheduled follow-up MR T2-weighted (TR 3200–6600ms; TE 75-132ms) imaging. The LF group included 10 tumors with 8.7 months median follow-up, while the LC group had 11 tumors with 24.1 months median follow-up. The follow-up images were fused to the planning CT. Image intensity histograms of the GTV were calculated. Voxels in greater than 90% (V90), 80% (V80), and peak (Vpeak) of the histogram were grouped into sub-ROIs to determine the best feature histogram. The intensity of each sub-ROI was evaluated using the mean T2-weighted signal ratio (intensity in sub-ROI / intensity in normal vertebrae). An ROC curve in predicting LF for each sub-ROI was calculated to determine the best feature histogram parameter for LF prediction. Results: Mean T2-weighted signal ratio in the LF group was significantly higher than that in the LC group for all sub-ROIs (1.1±0.4 vs. 0.7±0.2, 1.2±0.4 vs. 0.8±0.2, 1.4±0.5 vs. 0.8±0.2, for V90, V80, and Vpeak, p=0.02, 0.02, and 0.002, respectively). The corresponding areas-under-curve (AUC) of ROC were 0.78, 0.80, and 0.87, p=0.02, 0.03, 0.004, respectively. No correlation was found between T2-weighted signal ratio in Vpeak and follow-up time (Pearson's ρ=0.15). Conclusion: Increased T2-weighted signal can be used to identify local failure while decreased signal indicates local control after spinal SBRT. By choosing the best histogram parameter (here the Vpeak), the AUC of the ROC can be substantially improved, which implies reliable prediction of LC and LF. These results are being further studied and validated with large multi

  4. Growth hormone suppression test

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/003376.htm Growth hormone suppression test To use the sharing features on this page, please enable JavaScript. The growth hormone suppression test determines whether growth hormone production ...

  5. Dexamethasone suppression test

    Science.gov (United States)

    DST; ACTH suppression test; Cortisol suppression test ... During this test, you will receive dexamethasone. This is a strong man-made (synthetic) glucocorticoid medication. Afterward, your blood is drawn ...

  6. Importance of weight loss maintenance and risk prediction in the prevention of type 2 diabetes: analysis of European Diabetes Prevention Study RCT.

    Directory of Open Access Journals (Sweden)

    Linda Penn

    Full Text Available BACKGROUND: Prevalence of type 2 diabetes (T2D is increasing worldwide. T2D prevention by lifestyle intervention is effective. Pragmatic scalable interventions are needed, with evidence to efficiently target and monitor such interventions. We report pooled analyses of data from three European trial cohorts: to analyse T2D incidence, sustained weight loss and utility of risk predictors. METHODS: We analysed data on 749 adults with impaired glucose tolerance (278 men and 471 women, mean age 56 years, mean BMI 31 kgm(-2 recruited between 1993 and 2003, and randomised to intensive lifestyle intervention (I or lifestyle advice control (C. The intervention aimed to increase physical activity, modify diet, and promote weight loss≥5%. Using Cox-regression survival analysis, we assessed T2D incidence and the impact on T2D incidence of sustained weight loss, and of baseline cut-point values of FINDRISC score, fasting plasma glucose (FPG, and HbA1c. RESULTS: Mean follow-up duration was 3.1 years. T2D was diagnosed in 139 participants (I = 45/379, C = 94/370. Cumulative T2D incidence was 57% lower in the intervention compared with the control group (HR 0.42 (95% CI 0.29 to 0.60 P<0.001. Participants with ≥5% weight loss at one year had 65% lower T2D incidence (HR 0.35 (95% CI 0.22 to 0.56 P<0.001; maintaining ≥5% weight loss for two and three years further reduced T2D incidence. Recommended cut-points to identify those at high risk for T2D would have identified different proportions of European Diabetes Prevention Study (EDIPS participants with similar hazard-ratios for intervention effect. CONCLUSIONS: Pooled analysis of EDIPS trial data reinforces evidence for T2D prevention by lifestyle intervention. Analysis showed the preventive effect of ≥5% weight loss, especially if maintained long term, which has utility for intervention monitoring. Analysis of proposed cut-points demonstrates difficulties in balancing risk and benefit, to

  7. Influence of penetration enhancers and molecular weight in antifungals permeation through bovine hoof membranes and prediction of efficacy in human nails.

    Science.gov (United States)

    Miron, D; Cornelio, R; Troleis, J; Mariath, J; Zimmer, A R; Mayorga, P; Schapoval, E E S

    2014-01-23

    This work aimed to evaluate the effect of different substances on the permeation of geraniol through bovine hoof membranes. Different penetration enhancers were able to increase the permeability up to 25 times compared to control. It was demonstrated that acetilcysteine in association with ascorbic acid increased the permeation, even in acid formulations. In addition, some antifungal drugs were incorporated into a gel formulation of HPMC containing acetylcysteine 5% and ascorbic acid 0.2% and then the permeation coefficient through bovine hoof membranes was evaluated. The relationship between permeability and molecular weight was established for fluconazole, miconazole, terbinafine, butenafine, geraniol and nerol. Geraniol and nerol, the antifungals with lower molecular weight, had the better permeability results. Permeability coefficients for nail plates were estimated and geraniol demonstrated similar or even better efficacy index values against T. rubrum, T. menthagrophytes and M. canis compared with terbinafine and miconazole. Copyright © 2013 Elsevier B.V. All rights reserved.

  8. Newborn length predicts early infant linear growth retardation and disproportionately high weight gain in a low-income population1-2

    Science.gov (United States)

    Berngard, S Clark; Berngard, Jennifer Bishop; Krebs, Nancy F; Garcés, Ana; Miller, Leland V; Westcott, Jamie; Wright, Linda L; Kindem, Mark; Hambidge, K Michael

    2013-01-01

    Background Stunting is prevalent by the age of 6 mo in the indigenous population of the Western Highlands of Guatemala. Aim The objective of this study was to determine the time course and predictors of linear growth failure and weight-for-age in early infancy. Study Design and Subjects One hundred and forty eight term newborns had measurements of length and weight in their homes, repeated at 3 and 6 mo. Maternal measurements were also obtained. Results Mean ± SD length-for-age Z-score (LAZ) declined from newborn -1.0 (1.01) to -2.20 (1.05) and -2.26 (1.01) at 3 and 6 mo respectively. Stunting rates for newborn, 3 and 6 mo were 47%, 53% and 56% respectively. A multiple regression model (R2 = 0.64) demonstrated that the major predictor of LAZ at 3 mo was newborn LAZ with the other predictors being newborn weight-for-age Z-score (WAZ), gender and maternal education*maternal age interaction. Because WAZ remained essentially constant and LAZ declined during the same period, weight-for-length Z-score (WLZ) increased from -0.44 to +1.28 from birth to 3 mo. The more severe the linear growth failure, the greater WAZ was in proportion to the LAZ. Conclusion The primary conclusion is that impaired fetal linear growth is the major predictor of early infant linear growth failure indicating that prevention needs to start with maternal interventions. PMID:24083893

  9. Waist circumference is superior to weight and BMI in predicting sexual symptoms, voiding symptoms and psychosomatic symptoms in men with hypogonadism and erectile dysfunction.

    Science.gov (United States)

    Yassin, A A; Nettleship, J E; Salman, M; Almehmadi, Y

    2017-05-01

    Waist circumference is considered a useful predictor of obesity-associated cardiovascular risk, but its use as an indicator of sexual health status and quality of life (QoL) in hypogonadal men is unknown. We investigated whether three measurements of obesity, weight, body mass index and waist circumference, correlate with the International Index of Erectile Function-5 (IIEF-5), the Aging Males' Symptoms (AMS) and the International Prostate Symptom Score (IPSS) questionnaires. A total of 261 patients were enrolled in a prospective study on hypogonadism treatment with intramuscular long-acting testosterone undecanoate. Patients with total testosterone ≤3.5 ng ml(-1) were enrolled, and baseline demographic data were recorded. Patient's response to IIEF, IPSS and AMS standardised questionnaires was recorded to evaluate health-related QoL. The mean length of treatment and follow-up was 4.7 years (max 6 years). ANOVA regression analysis showed that waist circumference was significantly inversely proportional to IIEF-5 and directly proportional to AMS and IPSS. Weight was inversely proportional to IIEF and directly proportional to IPSS but not associated with AMS. BMI had no proportionality to measurements of sexual function and quality of life. These results suggest that among weight, BMI and waist circumference, the latter is the best predictor of health-related QoL in men with hypogonadism.

  10. Predicting Macrosomia

    National Research Council Canada - National Science Library

    Pates, Jason A; McIntire, Donald D; Casey, Brian M; Leveno, Kenneth J

    2008-01-01

    Objective. The purpose of this study was to evaluate the prediction of fetal macrosomia based on ultrasound estimates of fetal weight and amniotic fluid volume combined with clinical risk factors. Methods...

  11. Calculating Quenching Weights

    CERN Document Server

    Salgado, C A; Salgado, Carlos A.; Wiedemann, Urs Achim

    2003-01-01

    We calculate the probability (``quenching weight'') that a hard parton radiates an additional energy fraction due to scattering in spatially extended QCD matter. This study is based on an exact treatment of finite in-medium path length, it includes the case of a dynamically expanding medium, and it extends to the angular dependence of the medium-induced gluon radiation pattern. All calculations are done in the multiple soft scattering approximation (Baier-Dokshitzer-Mueller-Peign\\'e-Schiff--Zakharov ``BDMPS-Z''-formalism) and in the single hard scattering approximation (N=1 opacity approximation). By comparison, we establish a simple relation between transport coefficient, Debye screening mass and opacity, for which both approximations lead to comparable results. Together with this paper, a CPU-inexpensive numerical subroutine for calculating quenching weights is provided electronically. To illustrate its applications, we discuss the suppression of hadronic transverse momentum spectra in nucleus-nucleus colli...

  12. Deconstructing Interocular Suppression: Attention and Divisive Normalization.

    Directory of Open Access Journals (Sweden)

    Hsin-Hung Li

    2015-10-01

    Full Text Available In interocular suppression, a suprathreshold monocular target can be rendered invisible by a salient competitor stimulus presented in the other eye. Despite decades of research on interocular suppression and related phenomena (e.g., binocular rivalry, flash suppression, continuous flash suppression, the neural processing underlying interocular suppression is still unknown. We developed and tested a computational model of interocular suppression. The model included two processes that contributed to the strength of interocular suppression: divisive normalization and attentional modulation. According to the model, the salient competitor induced a stimulus-driven attentional modulation selective for the location and orientation of the competitor, thereby increasing the gain of neural responses to the competitor and reducing the gain of neural responses to the target. Additional suppression was induced by divisive normalization in the model, similar to other forms of visual masking. To test the model, we conducted psychophysics experiments in which both the size and the eye-of-origin of the competitor were manipulated. For small and medium competitors, behavioral performance was consonant with a change in the response gain of neurons that responded to the target. But large competitors induced a contrast-gain change, even when the competitor was split between the two eyes. The model correctly predicted these results and outperformed an alternative model in which the attentional modulation was eye specific. We conclude that both stimulus-driven attention (selective for location and feature and divisive normalization contribute to interocular suppression.

  13. Short communication: Use of single nucleotide polymorphism genotypes and health history to predict future phenotypes for milk production, dry matter intake, body weight, and residual feed intake in dairy cattle.

    Science.gov (United States)

    Yao, C; Armentano, L E; VandeHaar, M J; Weigel, K A

    2015-03-01

    As feed prices have increased, the efficiency of feed utilization in dairy cattle has attracted increasing attention. In this study, we used residual feed intake (RFI) as a measurement of feed efficiency along with its component traits, adjusted milk energy (aMilkE), adjusted dry matter intake (aDMI), and adjusted metabolic body weight (aMBW), where the adjustment was for environmental factors. These traits may also be affected by prior health problems. Therefore, the carryover effects of 3 health traits from the rearing period and 10 health traits from the lactating period (in the same lactation before phenotype measurements) on RFI, aMilkE, aDMI, and aMBW were evaluated. Cows with heavier birth weight and greater body weight at calving of this lactation had significant increases in aMilkE, aDMI, and aMBW. The only trait associated with RFI was the incidence of diarrhea early in the lactation. Mastitis and reproductive problems had negative carryover effects on aMilkE. The aMBW of cows with metabolic disorders early in the lactation was lower than that of unaffected cows. The incidence of respiratory disease during lactating period was associated with greater aMBW and higher aDMI. To examine the contribution of health traits to the accuracy of predicted phenotype, genomic predictions were computed with or without information regarding 13 health trait phenotypes using random forests (RF) and support vector machine algorithms. Adding health trait phenotypes increased prediction accuracies slightly, except for prediction of RFI using RF. In general, the accuracies were greater for support vector machine than RF, especially for RFI. The methods described herein can be used to predict future phenotypes for dairy replacement heifers, thereby facilitating culling decisions that can lead to decreased feed costs during the rearing period. For these decisions, prediction of the animal's own phenotype is of greater importance than prediction of the genetic superiority or

  14. Weight lifting

    Energy Technology Data Exchange (ETDEWEB)

    Drysdale, G.S.; Murphy, J.C. [CSL Asia (Singapore)

    2006-03-15

    The paper considers the advantages of using self-unloaders (SULs) for transporting and handling major dry bulk commodities such as coal. Advantages include speed, discharge flexiblity, efficiency, ability to blend coals on the vessel, cost effectiveness, and noise and dust control features. A case study outlines how CSL helped design a coal receiving terminal for the AES Corp. in Puerto Rico which was an SUL terminal with a state-of-the-art dust suppression system. 2 photos.

  15. NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure

    DEFF Research Database (Denmark)

    Nielsen, Morten; Justesen, Sune Frederik Lamdahl; Lund, Ole

    2010-01-01

    BACKGROUND: Binding of peptides to Major Histocompatibility class II (MHC-II) molecules play a central role in governing responses of the adaptive immune system. MHC-II molecules sample peptides from the extracellular space allowing the immune system to detect the presence of foreign microbes from...... have therefore been placed in developing accurate computer methods capable of predicting this binding event. Prediction of peptide binding to MHC-II is complicated by the open binding cleft of the MHC-II molecule, allowing binding of peptides extending out of the binding groove. Moreover, the genes...... prediction algorithm aiming at dealing with these challenges. The method is a pan-specific version of the earlier published allele-specific NN-align algorithm and does not require any pre-alignment of the input data. This allows the method to benefit also from information from alleles covered by limited...

  16. Inversion recovery RARE: Clinical application of T{sub 2}-weighted CSF-suppressed rapid sequence; Inversion-Recovery-RARE: Klinische Anwendung einer T{sub 2}-gewichteten, liquorunterdrueckten Schnellsequenz

    Energy Technology Data Exchange (ETDEWEB)

    Goetz, G.F. [Sektion Neuroradiologie, Universitaetsklinikum Freiburg im Breisgau (Germany); Hennig, J. [Klinik fuer Radiologische Diagnostik, Universitaetsklinikum Freiburg im Breisgau (Germany); Ziyeh, S. [Sektion Neuroradiologie, Universitaetsklinikum Freiburg im Breisgau (Germany)

    1995-02-01

    Inversion-Recovery RARE is a strongly T{sub 2}-weighted fast sequence in which the CSF appears dark. This sequence was used in more than 100 patients. Retrospective analysis of 80 patients with cerebrovascular and inflammatory disease was carried out. The IR-RARE sequence proved to be particularly suitable for identifying small lesions in the neighbourhood of the subarachnoid space. We illustrate the typical contrast provided by this sequence, and describe its characteristics, exemplifying the advantages it offers for the diagnosis of multiple sclerosis, cerebral microangiopathy and brain infarction. (orig.) [Deutsch] Inversion-Recovery-RARE ist eine stark T{sub 2}-gewichtete Schnellsequenz mit unterdruecktem Liquorsignal (dark fluid RARE). Diese Sequenz wurde inzwischen bei ueber 100 kranialen MRT-Untersuchungen angewandt. Wir haben 80 Patienten mit entzuendlichen und zerebrovaskulaeren Erkrankungen retrospektiv ausgewertet. IR-RARE ist bei der Darstellung kleiner liquorraumnaher Laesionen T{sub 2}-gewichteten Sequenzen ueberlegen. Wir stellen den typischen Kontrast der Inversion-Recovery-RARE-Sequenz, seine Besonderheiten und exemplarisch seine vorteilhafte Anwendung bei multipler Sklerose, zerebraler Mikroangiopathie und Hirninfarkten dar. (orig.)

  17. 储能逆变器预测控制误差形成机理及其抑制策略%Formation Mechanism and Suppression Strategy of Prediction Control Error Applied in a Battery Energy Storage Inverter

    Institute of Scientific and Technical Information of China (English)

    方支剑; 段善旭; 陈天锦; 陈昌松; 刘宝其

    2013-01-01

    在大功率储能系统中,由于储能逆变器开关频率低,采样、计算等引入的延时将恶化输出电能质量甚至引起系统的不稳定。采用预测控制可消除储能逆变器控制中延时的影响,但预测值受模型精确程度和输入扰动的影响与实际值存在差异。在储能逆变器数字化预测控制策略的基础上,推导预测误差与直流电压、负载电流和模型参数误差之间的传递函数,然后分析预测误差对逆变器数字化控制的影响,从而提出一种基于输出误差积分量和状态预测值的全维状态反馈控制策略,其外环采用输出电压误差积分以抑制预测误差,控制器采用后向差分形式的积分环节消除输出电压反馈引入的延时影响。该控制策略可有效消除逆变器控制中的延时,并且抑制了预测控制中的误差。最后设计一台30 kW 原理样机,输出稳态误差由9%降到1%,验证了所提控制策略的正确性。%In high power storage system, time consumption in sampling and calculating of digital processors could reduce the performances of output voltage and even make the system unstable at some serious condition, as the battery energy storage inverter has high power and low switching frequency. The predict control strategy can eliminate the influence of time consumption, while the surge of input voltage and model error could generate the prediction error. Based on the digital strategy of prediction control in battery energy storage inverter, this paper calculated the functions between model error, input change and prediction error. After analyzing the influence of prediction error on digital control strategy for inverter, a full-state feedback control strategy based on integral of output error was given. The outer loop used the integral of output voltage error to suppress the prediction error and the digital controller selected the integral of backward difference to reduce the degrees

  18. Prediction of cannibalism in juvenile Oreochromis niloticus based on predator to prey weight ratio, and effects of age and stocking density

    NARCIS (Netherlands)

    Fessehaye, Y.; Kabirb, A.; Bovenhuis, H.; Komen, J.

    2006-01-01

    Factors influencing size-dependent cannibalism in Nile tilapia, Oreochromis niloticus, were investigated in controlled conditions. First, individual-based trials were conducted to develop a linear regression model to predict the occurrence of cannibalism based on body measurements. Oral gape (G, mm)

  19. Anticipatory signatures of voluntary memory suppression.

    Science.gov (United States)

    Hanslmayr, Simon; Leipold, Philipp; Pastötter, Bernhard; Bäuml, Karl-Heinz

    2009-03-04

    Voluntary memory suppression can keep unwanted memories from entering consciousness, inducing later forgetting of the information. In the present study, we searched for the existence of anticipatory processes, mediating such voluntary memory suppression. Using the think/no-think paradigm, subjects received a cue whether to prepare to think of a previously studied cue-target pair or whether to not let a previously studied cue-target pair enter consciousness. Examining event-related potentials, we identified two electrophysiological processes of voluntary memory suppression: (1) an early anticipatory process operating before the memory cue for a to-be-suppressed memory was provided, and (2) a later process operating after memory cue presentation. Both ERP effects were due to a decreased right frontal and left parietal positivity. They were positively related and predicted later forgetting. The results point to the existence of anticipatory processes, mediating voluntary memory suppression.

  20. Birth weight, growth and feeding pattern in early infancy predict overweight/obesity status at two years of age: a birth cohort study of Chinese infants.

    Directory of Open Access Journals (Sweden)

    Jianduan Zhang

    Full Text Available OBJECTIVES: To investigate the early determinants of overweight and obesity status at age two years. METHODS: A total of 1098 healthy neonates (563 boys and 535 girls were involved in this community-based prospective study in China. Data on body weight and length were collected at birth, the 3(rd and 24(th month. A self-administered questionnaire was used to collect data on social demography and feeding patterns of children, etc. Three multivariable logistic regression models were employed to make various comparisons of weight status, i.e., model 1 (obesity vs. non-obesity, model 2 (combined overweight and obesity vs. normal weight, and model 3 (obesity, overweight and normal weight. RESULTS: Prevalences of overweight/obesity (95(th >BMI ≥85(th p and BMI ≥95(th p, referring to WHO BMI standards at 2 years of age are 15.8%/11.2% for boys and 12.9%/9.0% for girls, respectively. Being born with macrosomia (OR: 1.80-1.88, relatively greater BMI increment in the first 3 months (OR: 1.15-1.16 and bottle emptying by encouragement at age two (OR: 1.30-1.57 were found in all three models to be significant risk factors for higher BMI status at 2 years. Pre-pregnancy maternal BMI (OR: 1.09-1.12, paternal BMI (OR: 1.06, and mixed breastfeeding (OR: 1.54-1.57 or formula feeding (OR: 1.90-1.93 in the first month were identified as significant in models 2 and 3. Child-initiated bottle emptying at age two was observed to increase the risk of obesity by 1.31 times but only in model 1. CONCLUSION: Fetal and early postnatal growth and feeding pattern appear to have significant impacts on early childhood overweight and obesity status independent of parental BMI. Policy-based and multidisciplinary approaches to promote breastfeeding and enhancement of feeding skills of care takers may be promising intervention strategies.

  1. Importance of weight loss maintenance and risk prediction in the prevention of type 2 diabetes: analysis of European Diabetes Prevention Study RCT.

    Science.gov (United States)

    Penn, Linda; White, Martin; Lindström, Jaana; den Boer, Annemieke Th; Blaak, Ellen; Eriksson, Johan G; Feskens, Edith; Ilanne-Parikka, Pirjo; Keinänen-Kiukaanniemi, Sirkka M; Walker, Mark; Mathers, John C; Uusitupa, Matti; Tuomilehto, Jaakko

    2013-01-01

    Prevalence of type 2 diabetes (T2D) is increasing worldwide. T2D prevention by lifestyle intervention is effective. Pragmatic scalable interventions are needed, with evidence to efficiently target and monitor such interventions. We report pooled analyses of data from three European trial cohorts: to analyse T2D incidence, sustained weight loss and utility of risk predictors. We analysed data on 749 adults with impaired glucose tolerance (278 men and 471 women, mean age 56 years, mean BMI 31 kgm(-2)) recruited between 1993 and 2003, and randomised to intensive lifestyle intervention (I) or lifestyle advice control (C). The intervention aimed to increase physical activity, modify diet, and promote weight loss≥5%. Using Cox-regression survival analysis, we assessed T2D incidence and the impact on T2D incidence of sustained weight loss, and of baseline cut-point values of FINDRISC score, fasting plasma glucose (FPG), and HbA1c. Mean follow-up duration was 3.1 years. T2D was diagnosed in 139 participants (I = 45/379, C = 94/370). Cumulative T2D incidence was 57% lower in the intervention compared with the control group (HR 0.42 (95% CI 0.29 to 0.60) Pcut-points to identify those at high risk for T2D would have identified different proportions of European Diabetes Prevention Study (EDIPS) participants with similar hazard-ratios for intervention effect. Pooled analysis of EDIPS trial data reinforces evidence for T2D prevention by lifestyle intervention. Analysis showed the preventive effect of ≥5% weight loss, especially if maintained long term, which has utility for intervention monitoring. Analysis of proposed cut-points demonstrates difficulties in balancing risk and benefit, to efficiently target interventions and suggests evidence is needed to define clinical policy. THE FINNISH DIABETES PREVENTION STUDY, HELSINKI, FINLAND: ClinicalTrials.gov; NCT00518167 The SLIM diabetes prevention study, Maastricht, The Netherlands: Clinical Trials.gov; NCT00381186 The

  2. Normal Manifestation of Whole- body Magnetic Resonance Diffusion- weighted Imaging and Comparison of Different Background Suppression Methods%全身磁共振扩散加权成像正常表现及不同背景抑制方法比较

    Institute of Scientific and Technical Information of China (English)

    闫明勤; 王嵩; 张世界; 潘嫣红; 张建军

    2012-01-01

    目的:全身磁共振扩散加权成像(MR WB- DWI)不同背景抑制方法的比较研究,总结WB - DWI正常影像表现.方法:健康志愿者20例,同时接受STIR和CHESS两种不同背景抑制方法的WB-DWI检查.结果:DWI - STIR在颈肩部及腹盆腔背景抑制效果明显较DWI - CHESS好,但信噪比较DWI - CHESS低,扫描时间较DWI-CHESS长.正常人骨骼系统呈低-等信号,双肺、纵隔、肝脏、血管、肌肉、脂肪呈低信号.椎间盘、脊髓、颅脑、脾脏、肾脏、子宫内膜和前列腺外周带、睾丸、阴茎呈高信号.神经根及正常淋巴结也显示为高信号.结论:MR WB- DWI快速、安全,DWI-STIR可以有效抑制背景信号;掌握MR WB- DWI正常表现可以为进一步临床应用打下基础.%Purpose: To study different background suppression methods and the summary the normal manifestations of whole - body magnetic resonance diffusion weighted imaging.Methods: Twenty healthy volunteers underwent WB- DWI examination with two different background suppression methods: STIR and CHESS. Results: The background suppression effect of DWI - STIR was obviously better than the effect of DWI - CHESS. But the SNR(signal to noise ratio, SNR) of DWI - STIR was lower than DWI -CHESS, and the total scan time was longer than DWI - CHESS. In healthy volunteers, the skeletal system showed low signal intensity to iso- intensity. The lung, mediastinum, liver, vessels, muscles and fat showed low signal intensity. The brain, spleen, kidney, endometrium, peripheral zone of prostate, testis, penis, Intervertebral discs and spinal cord showed high signal intensity. The nerves and little normal lymph nodes also demonstrated high signal intensity.Conclusion: MR WB - DWI is fast and safe. DWI - STIR can effectually suppress the background signal. Familiar with the normal manifestations of MR WB - DWI can help the clinical diagnosis.

  3. The ups and downs of J/psi suppression

    Energy Technology Data Exchange (ETDEWEB)

    Vogt, R.

    2000-10-17

    An overview of the present status of J/psi suppression in pA and nucleus-nucleus interactions is presented. In both cases, model predictions are summarized and compared to the data. The ''anomalous'' J/psi suppression in Pb+Pb collisions is discussed in some detail. Predictions are also shown for quarkonium suppression at collider energies.

  4. Increased signal intensity of prostate lesions on high b-value diffusion-weighted images as a predictive sign of malignancy

    Energy Technology Data Exchange (ETDEWEB)

    Quentin, Michael; Schimmoeller, Lars; Antoch, Gerald; Blondin, Dirk [University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Dusseldorf (Germany); Arsov, Christian; Rabenalt, Robert; Albers, Peter [University Dusseldorf, Medical Faculty, Department of Urology, Dusseldorf (Germany)

    2014-01-15

    The evaluation of lesions detected in prostate magnetic resonance imaging (MRI) with increased signal intensity (SI) on high b-value diffusion-weighted images as a sign of malignancy. One hundred and three consecutive patients with prostate MRI examination and MRI-guided in-bore biopsy were retrospectively included in the study. MRI-guided in-bore biopsy histologically confirmed prostate cancer in 50 patients (n = 92 lesions). The other 53 patients (n = 122 lesions) had negative bioptical results. In patients with histologically confirmed prostate cancer, 46 of the 92 lesions had visually increased SI on the high b-value images compared with the peripheral zone (SI = +27 ± 16%) or the central gland (SI = +37 ± 19%, P < 0.001 respectively). In patients with a negative biopsy, ten of the 122 lesions had visually increased SI (compared with the peripheral zone, SI = +29 ± 18%, and with the central gland, SI = +41 ± 15%, P < 0.001 respectively). Neither the apparent diffusion coefficient (ADC) values nor the Gleason Score of lesions with increased SI were significantly different from lesions without increased SI. Visually increased SI on the high b-value images of diffusion-weighted imaging using standard b-values is a sign of malignancy but can occasionally also be a feature of benign lesions. However, it does not indicate more aggressive tumours. (orig.)

  5. On Weighted Support Vector Regression

    DEFF Research Database (Denmark)

    Han, Xixuan; Clemmensen, Line Katrine Harder

    2014-01-01

    We propose a new type of weighted support vector regression (SVR), motivated by modeling local dependencies in time and space in prediction of house prices. The classic weights of the weighted SVR are added to the slack variables in the objective function (OF‐weights). This procedure directly...... the differences and similarities of the two types of weights by demonstrating the connection between the Least Absolute Shrinkage and Selection Operator (LASSO) and the SVR. We show that an SVR problem can be transformed to a LASSO problem plus a linear constraint and a box constraint. We demonstrate...

  6. Diffusion-weighted imaging for pretreatment evaluation and prediction of treatment effect in patients undergoing CT-guided injection for lumbar disc herniation

    Energy Technology Data Exchange (ETDEWEB)

    Niu, Xiang Ke [Dept. of Radiology, Affiliated Hospital of Chengdu University, Chengdu (China); Bhetuwal, Anup; Yang, Han Feng [Schuan Key Laboratory of Medical Imaging and Dept. of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong (China)

    2015-08-15

    To determine whether a change in apparent diffusion coefficient (ADC) value could predict early response to CT-guided Oxygen-Ozone (O{sub 2}-O{sub 3}) injection therapy in patients with unilateral mono-radiculopathy due to lumbar disc herniation. A total of 52 patients with unilateral mono-radiculopathy received a single intradiscal (3 mL) and periganglionic (5 mL) injection of an O{sub 2}-O{sub 3} mixture. An ADC index of the involved side to the intact side was calculated using the following formula: pre-treatment ADC index = ([ADC involved side - ADC intact side] / ADC intact side) x 100. We analyzed the relationship between the pre-treatment Oswestry Disability Index (ODI) and the ADC index. In addition, the correlation between ODI recovery ratio and ADC index was investigated. The sensitivity and specificity of the ADC index for predicting response in O{sub 2}-O{sub 3} therapy was determined. Oswestry Disability Index and the ADC index was not significantly correlated (r = -0.125, p = 0.093). The ADC index and ODI recovery ratio was significantly correlated (r = 0.819, p < 0.001). When using 7.10 as the cut-off value, the ADC index obtained a sensitivity of 86.3% and a specificity of 82.9% for predicting successful response to therapy around the first month of follow-up. This preliminary study demonstrates that the patients with decreased ADC index tend to show poor improvement of clinical symptoms. The ADC index may be a useful indicator to predict early response to CT-guided O{sub 2}-O{sub 3} injection therapy in patients with unilateral mono-radiculopathy due to lumbar disc herniation.

  7. Molecular Weight and Molecular Weight Distributions in Synthetic Polymers.

    Science.gov (United States)

    Ward, Thomas Carl

    1981-01-01

    Focuses on molecular weight and molecular weight distributions (MWD) and models for predicting MWD in a pedagogical way. In addition, instrumental methods used to characterize MWD are reviewed with emphasis on physical chemistry of each, including end-group determination, osmometry, light scattering, solution viscosity, fractionation, and…

  8. Digital-image analysis to predict weight and yields of boneless subprimal beef cuts Análise de imagem digital para a previsão de pesos e rendimentos de cortes de carne bovina

    Directory of Open Access Journals (Sweden)

    Gustavo Adolfo Teira

    2003-01-01

    Full Text Available For several decades, beef carcass evaluation for grading or research purposes has relied upon subjective visual scores, and manually taken measurements, but in recent times there has been a growing interest in new technologies capable of improving accuracy of estimates. Equations to predict weight and yield of beef pistol subprimal cuts were developed in this work using digital image analysis (VIA of the 12th rib steak. Equations to predict total pistol subprimal cuts weight (CUTS had coefficients of determination (CD of 0.84, or 0.87 to 0.88, when the independent variables were the VIA parameters and the half carcass weight (HC or the total pistol weight (TP, respectively. The predicted values for the total seven subprimal cuts, as a percentage of half carcass weight (CUTS%, presented CD values ranging from 0.37 to 0.47, or 0.21 to 0.31, using HC or TP as a principal independent variable. Likewise, the equation for weight of the individual subprimal cuts had CD values ranging from 0.40 to 0.72, or 0.43 to 0.74 using HC or TP, respectively. In this research, the developed VIA procedure has demonstrated good repeatability and accuracy to estimate the total pistol subprimal weights, and some individual subprimal weights.Por várias décadas, a avaliação de carcaça bovina em sistemas de tipificação ou em pesquisas tem dependido de escores subjetivos e medidas obtidas manualmente, mas ultimamente tem havido um crescente interesse por novas tecnologias capazes de aumentar a acurácia das estimativas. Este trabalho teve como objetivo desenvolver equações para a previsão de pesos e rendimentos de cortes bovinos, através da análise de imagem digital (VIA de uma seção do contrafilé da 12ª costela. As equações de previsão do peso dos cortes do traseiro especial (CUTS apresentaram coeficientes de determinação (CD de 0,84 e de 0,87 – 0,88, quando as variáveis independentes usadas eram os parâmetros VIA e o peso da meia carcaça (HC ou

  9. Validation of predictive equations for weight and height using a metric tape Validación de ecuaciones predictivas para el peso y talla utilizando cinta métrica

    Directory of Open Access Journals (Sweden)

    E. I. Rabito

    2008-12-01

    Full Text Available Weight and height measurements are important data for the evaluation of nutritional status but some situations prevent the execution of these measurements in the standard manner, using special equipment or an estimate by predictive equations. Predictive equations of height and weight requiring only a metric tape as an instrument have been recently developed. Objective: To validate three predictive equations for weight and two for height by Rabito and evaluating their agreement with the equations proposed by Chumlea. Methods: The following data were collected: sex, age and anthropometric measurements, ie, weight (kg, height (m, subscapular skinfold (mm, calf (cm, arm (cm and abdominal (cm circumferences, arm length (cm, and half span (cm. Data were analyzed statistically using the Lin coefficient to test the agreement between the equations and the St. Laurent coefficient to compare the estimated weight and height values with real values. Results: 100 adults (age 48 ± 18 years admitted to the University Hospital (HCFMRP/USP were evaluated. Equations I: W(kg = 0.5030 (AC + 0.5634 (AbC + 1.3180 (CC +0.0339 (SSSF - 43.1560 and II: W (kg = 0.4808 (AC + 0.5646 (AbC +1.3160 (CC - 42.2450 showed the highest coefficients of agreement for weight and equations IV and V showed the highest coefficients of agreement for height. The St. Laurent coefficient indicated that equations III and V were valid for weight and height, respectively. Conclusion: Among the validated equations, the number III W (kg = 0.5759 (AC + 0.5263 (AbC +1.2452 (CC - 4.8689 (S - 32.9241 and VH (m = 63,525 -3,237(S - 0,06904 (A + 1,293 (HS are recommended for height or weight because of their easy use for hospitalized patients and the equations be validated in other situations.Las medidas de peso y talla son datos importantes para la evaluación del estado nutricional y también para el planeamiento de terapias nutricionales y medicamentosas. Entretanto, algunas situaciones imposibilitan

  10. Improving predictions of protein-protein interfaces by combining amino acid-specific classifiers based on structural and physicochemical descriptors with their weighted neighbor averages.

    Directory of Open Access Journals (Sweden)

    Fábio R de Moraes

    Full Text Available Protein-protein interactions are involved in nearly all regulatory processes in the cell and are considered one of the most important issues in molecular biology and pharmaceutical sciences but are still not fully understood. Structural and computational biology contributed greatly to the elucidation of the mechanism of protein interactions. In this paper, we present a collection of the physicochemical and structural characteristics that distinguish interface-forming residues (IFR from free surface residues (FSR. We formulated a linear discriminative analysis (LDA classifier to assess whether chosen descriptors from the BlueStar STING database (http://www.cbi.cnptia.embrapa.br/SMS/ are suitable for such a task. Receiver operating characteristic (ROC analysis indicates that the particular physicochemical and structural descriptors used for building the linear classifier perform much better than a random classifier and in fact, successfully outperform some of the previously published procedures, whose performance indicators were recently compared by other research groups. The results presented here show that the selected set of descriptors can be utilized to predict IFRs, even when homologue proteins are missing (particularly important for orphan proteins where no homologue is available for comparative analysis/indication or, when certain conformational changes accompany interface formation. The development of amino acid type specific classifiers is shown to increase IFR classification performance. Also, we found that the addition of an amino acid conservation attribute did not improve the classification prediction. This result indicates that the increase in predictive power associated with amino acid conservation is exhausted by adequate use of an extensive list of independent physicochemical and structural parameters that, by themselves, fully describe the nano-environment at protein-protein interfaces. The IFR classifier developed in this study

  11. Improving predictions of protein-protein interfaces by combining amino acid-specific classifiers based on structural and physicochemical descriptors with their weighted neighbor averages.

    Science.gov (United States)

    de Moraes, Fábio R; Neshich, Izabella A P; Mazoni, Ivan; Yano, Inácio H; Pereira, José G C; Salim, José A; Jardine, José G; Neshich, Goran

    2014-01-01

    Protein-protein interactions are involved in nearly all regulatory processes in the cell and are considered one of the most important issues in molecular biology and pharmaceutical sciences but are still not fully understood. Structural and computational biology contributed greatly to the elucidation of the mechanism of protein interactions. In this paper, we present a collection of the physicochemical and structural characteristics that distinguish interface-forming residues (IFR) from free surface residues (FSR). We formulated a linear discriminative analysis (LDA) classifier to assess whether chosen descriptors from the BlueStar STING database (http://www.cbi.cnptia.embrapa.br/SMS/) are suitable for such a task. Receiver operating characteristic (ROC) analysis indicates that the particular physicochemical and structural descriptors used for building the linear classifier perform much better than a random classifier and in fact, successfully outperform some of the previously published procedures, whose performance indicators were recently compared by other research groups. The results presented here show that the selected set of descriptors can be utilized to predict IFRs, even when homologue proteins are missing (particularly important for orphan proteins where no homologue is available for comparative analysis/indication) or, when certain conformational changes accompany interface formation. The development of amino acid type specific classifiers is shown to increase IFR classification performance. Also, we found that the addition of an amino acid conservation attribute did not improve the classification prediction. This result indicates that the increase in predictive power associated with amino acid conservation is exhausted by adequate use of an extensive list of independent physicochemical and structural parameters that, by themselves, fully describe the nano-environment at protein-protein interfaces. The IFR classifier developed in this study is now

  12. Can weight predict academic performance in college students? An analysis of college women's self-efficacy, absenteeism, and depressive symptoms as mediators.

    Science.gov (United States)

    Aimé, Annie; Villatte, Aude; Cyr, Caroline; Marcotte, Diane

    2017-04-01

    Over a third of American college students are either overweight or obese, which has been suggested to negatively impact their academic achievement. This study seeks to better understand the relationship between body mass index (BMI) and grade point average (GPA), while examining potential mediators of this association. The sample consists of 298 college women who volunteered to complete online questionnaires between October and December 2014. Although no significant differences were noted for sociodemographic variables, overweight and obese female students were found to report lower GPA and academic self-efficacy as well as higher depressive symptoms, compared with their normal-weight counterparts. Academic self-efficacy partially mediated the relationship between BMI and GPA. To foster better academic achievement in female college students, and especially for those who are overweight and obese, strategies for improving self-efficacy and adaptation to college should be implemented.

  13. Predição do peso vivo a partir de medidas corporais em animais mestiços Holandês/Gir Prediction of live weight based on body measurements in crossbred animals Holstein/Gir

    Directory of Open Access Journals (Sweden)

    Guilherme Lanna Reis

    2008-06-01

    Full Text Available O objetivo deste estudo foi investigar as relações entre o peso corporal e as medidas corporais altura de garupa (ag, comprimento de garupa (cg, comprimento corporal (cc e perímetro torácico (pt, em bovinos oriundos principalmente do cruzamento das raças Holandês e Gir. Foram utilizados dados de 483 vacas, 469 novilhas e 62 machos, de três rebanhos distintos, analisados separadamente para cada categoria a fim de estabelecer equações polinomiais dos pesos em relação às medidas corporais. As correlações simples do peso corporal com pt, cc, cg e ag foram respectivamente 0,807; 0,440; 0,187 e 0,504 para vacas; 0,928; 0,735; 0,819 e 0,880 machos, e 0,942; 0,748; 0,902 e 0,573 para novilhas. Embora as regressões de peso corporal em relação ao cc e cg tenham sido significativas (PThe objective of this study was to investigate the relationship between hip height (ag, rump length (cg, body length (cc and heart girth (pt with live body weight of crossbred animals, mainly from the cross between Holstein and Gir breeds. Data on 483 cows, 469 heifers and 62 males in three herds were analyzed for each category using polynomial regression equations of body weight on measurements. The correlations between body weight and pt, cc, cg and ag were, respectively 0.807, 0.440, 0.187 and 0.504 for cows, 0.928, 0.735, 0.819 and 0.880 for males and 0.942, 0.748, 0.902 and 0.573 for heifers. Although the regressions of body weights on cc and cg were significant (P<0.05, the additional goodness of fit of a model that includes these two traits in addition to heart girth does not justify the extra cost for recording these traits. The prediction equations were: for cows, body weight = 12174-187.410 pt+0.97196960 pt²-0.00162382 pt³, for heifers, body weight = 1717-35.167pt+0.238978pt²-0.00046260pt³ and for males, body weight = -3862+76.014pt-0.488837pt²+0.00109755pt³.

  14. Weighted approximation with varying weight

    CERN Document Server

    Totik, Vilmos

    1994-01-01

    A new construction is given for approximating a logarithmic potential by a discrete one. This yields a new approach to approximation with weighted polynomials of the form w"n"(" "= uppercase)P"n"(" "= uppercase). The new technique settles several open problems, and it leads to a simple proof for the strong asymptotics on some L p(uppercase) extremal problems on the real line with exponential weights, which, for the case p=2, are equivalent to power- type asymptotics for the leading coefficients of the corresponding orthogonal polynomials. The method is also modified toyield (in a sense) uniformly good approximation on the whole support. This allows one to deduce strong asymptotics in some L p(uppercase) extremal problems with varying weights. Applications are given, relating to fast decreasing polynomials, asymptotic behavior of orthogonal polynomials and multipoint Pade approximation. The approach is potential-theoretic, but the text is self-contained.

  15. Expectant Mothers Maximizing Opportunities: Maternal Characteristics Moderate Multifactorial Prenatal Stress in the Prediction of Birth Weight in a Sample of Children Adopted at Birth.

    Directory of Open Access Journals (Sweden)

    Line Brotnow

    Full Text Available Mothers' stress in pregnancy is considered an environmental risk factor in child development. Multiple stressors may combine to increase risk, and maternal personal characteristics may offset the effects of stress. This study aimed to test the effect of 1 multifactorial prenatal stress, integrating objective "stressors" and subjective "distress" and 2 the moderating effects of maternal characteristics (perceived social support, self-esteem and specific personality traits on infant birthweight.Hierarchical regression modeling was used to examine cross-sectional data on 403 birth mothers and their newborns from an adoption study.Distress during pregnancy showed a statistically significant association with birthweight (R2 = 0.032, F(2, 398 = 6.782, p = .001. The hierarchical regression model revealed an almost two-fold increase in variance of birthweight predicted by stressors as compared with distress measures (R2Δ = 0.049, F(4, 394 = 5.339, p < .001. Further, maternal characteristics moderated this association (R2Δ = 0.031, F(4, 389 = 3.413, p = .009. Specifically, the expected benefit to birthweight as a function of higher SES was observed only for mothers with lower levels of harm-avoidance and higher levels of perceived social support. Importantly, the results were not better explained by prematurity, pregnancy complications, exposure to drugs, alcohol or environmental toxins.The findings support multidimensional theoretical models of prenatal stress. Although both objective stressors and subjectively measured distress predict birthweight, they should be considered distinct and cumulative components of stress. This study further highlights that jointly considering risk factors and protective factors in pregnancy improves the ability to predict birthweight.

  16. Application of the Weighted Markov Model in Precipitation Prediction%加权马尔可夫模型在降水预测中的应用

    Institute of Scientific and Technical Information of China (English)

    甄英

    2014-01-01

    Based on the annual precipitation data from 1962 to 2012 in Chongqing,by taking the standard deviation method of means,a classification of precipitation containing 5 levels is set up,namely,the dry years,the slightly dry years, the normal years,the slightly wet years and the wet years.Take each autocorrelation coefficient as the weight number,the weighted Markov chain was used to calculate the yearly amount of precipitation of Chongqing in 2012,and the confirmatory test finds that the results thus worked out is consistent with the actual condition.The error between the value of forecasted amount of Precipitation and the value gained by actual measurement is 7.9%,which proves the validity of the said method.By adop-ting the ergodic theorem of the Markov chain,the limit distribution for the annual amount of precipitation in Chongqing for the recent 50 years is calculated,whose results indicate the possibility of the annual amount of precipitation in Chongqing falls most probably into the range of being a normal year with a recurrence period of about 2.9 years.%依据1962-2011年重庆市年降水量资料,采用均值标准差法建立降水量丰枯级别,分为枯、偏枯、平、偏丰和丰5个水平年.以各阶自相关系数为权数,用加权马尔可夫链计算2012年重庆市降水量,通过验证发现计算出的状态与实际情况相符,预测降水量值与实测值误差为7.9%,说明该方法有效可行.进一步采用马尔可夫链的遍历性原理,计算重庆市近50年的年降水量极限分布,结果表明重庆市年降水量处于平水年的可能性最大,出现周期约为2.9年.

  17. Repeated inhalation exposure of rats to an anionic high molecular weight polymer aerosol: application of prediction models to better understand pulmonary effects and modes of action.

    Science.gov (United States)

    Pauluhn, Jürgen

    2014-08-01

    Opposed to the wealth of information available for kinetic lung overload-related effects of poorly-soluble, low-toxicity particles (PSP), only limited information is available on biodegradable high molecular weight (HMW) organic polymers (molecular weight >20,000 Da). It is hypothesized that such types of polymers may exert a somewhat similar volume displacement-related mode of action in alveolar macrophages as PSP; however, with a differing biokinetics of the material retained in the lung. This polyurethane polymer was examined in single and 2-/13-week repeated exposure rat inhalation bioassays. The design of studies was adapted to that commonly applied for PSP. Rats were nose-only exposed for 6h/day for the respective study duration, followed by 1-, 2- and 4-week postexposure periods in the single, 2- and 13-week studies, respectively. While the findings in bronchoalveolar lavage (BAL) and histopathology were consistent with those typical of PSP, they appear to be superimposed by pulmonary phospholipidosis and a much faster reversibility of pulmonary inflammation. Kinetic modeling designed to estimate the accumulated lung burden of biopersistent PSP was also suitable to simulate the overload-dependent outcomes of this biodegradable polymer as long as the faster than normal elimination kinetics was observed and an additional 'void space volume' was added to adjust for the phagocytosed additional fraction of pulmonary phospholipids. The changes observed following repeated inhalation exposure appear to be consistent with a retention-related etiopathology (kinetic overload). In summary, this study did not reveal evidence of any polymer-specific pulmonary irritation or parenchymal injury. Taking all findings into account, 7 mg polymer/m(3) (exposure 6h/day, 5-days/week on 13 consecutive weeks) constitutes the point of departure for lower respiratory tract findings that represent a transitional state from effects attributable to an overload-dependent pulmonary

  18. Predicted time from fertilization to maximum wet weight for steelhead alevins based on incubation temperature and egg size (Study site: Western Fishery Research Center, Seattle; Stock: Dworshak hatchery; Year class: 1996): Chapter 4

    Science.gov (United States)

    Rubin, Stephen P.; Reisenbichler, Reginald R.; Slatton, Stacey L.; Rubin, Stephen P.; Reisenbichler, Reginald R.; Wetzel, Lisa A.; Hayes, Michael C.

    2012-01-01

    The accuracy of a model that predicts time between fertilization and maximum alevin wet weight (MAWW) from incubation temperature was tested for steelhead Oncorhynchus mykiss from Dworshak National Fish Hatchery on the Clearwater River, Idaho. MAWW corresponds to the button-up fry stage of development. Embryos were incubated at warm (mean=11.6°C) or cold (mean=7.3°C) temperatures and time between fertilization and MAWW was measured for each temperature. Model predictions of time to MAWW were within 1% of measured time to MAWW. Mean egg weight ranged from 0.101-0.136 g among females (mean = 0.116). Time to MAWW was positively related to egg size for each temperature, but the increase in time to MAWW with increasing egg size was greater for embryos reared at the warm than at the cold temperature. We developed equations accounting for the effect of egg size on time to MAWW for each temperature, and also for the mean of those temperatures (9.3°C).

  19. Implicitly learned suppression of irrelevant spatial locations.

    Science.gov (United States)

    Leber, Andrew B; Gwinn, Rachael E; Hong, Yoolim; O'Toole, Ryan J

    2016-12-01

    How do we ignore a salient, irrelevant stimulus whose location is predictable? A variety of studies using instructional manipulations have shown that participants possess the capacity to exert location-based suppression. However, for the visual search challenges we face in daily life, we are not often provided explicit instructions and are unlikely to consciously deliberate on what our best strategy might be. Instead, we might rely on our past experience-in the form of implicit learning-to exert strategic control. In this paper, we tested whether implicit learning could drive spatial suppression. In Experiment 1, participants searched displays in which one location contained a target, while another contained a salient distractor. An arrow cue pointed to the target location with 70 % validity. Also, unbeknownst to the participants, the same arrow cue predicted the distractor location with 70 % validity. Results showed facilitated RTs to the predicted target location, confirming target enhancement. Critically, distractor interference was reduced at the predicted distractor location, revealing that participants used spatial suppression. Further, we found that participants had no explicit knowledge of the cue-distractor contingencies, confirming that the learning was implicit. In Experiment 2, to seek further evidence for suppression, we modified the task to include occasional masked probes following the arrow cue; we found worse probe identification accuracy at the predicted distractor location than control locations, providing converging evidence that observers spatially suppressed the predicted distractor locations. These results reveal an ecologically desirable mechanism of suppression, which functions without the need for conscious knowledge or externally guided instructions.

  20. Importance of Android/Gynoid Fat Ratio in Predicting Metabolic and Cardiovascular Disease Risk in Normal Weight as well as Overweight and Obese Children

    Science.gov (United States)

    Regier, Michael

    2014-01-01

    Numerous studies have shown that android or truncal obesity is associated with a risk for metabolic and cardiovascular disease, yet there is evidence that gynoid fat distribution may be protective. However, these studies have focused on adults and obese children. The purpose of our study was to determine if the android/gynoid fat ratio is positively correlated with insulin resistance, HOMA2-IR, and dislipidemia in a child sample of varying body sizes. In 7–13-year-old children with BMI percentiles ranging from 0.1 to 99.6, the android/gynoid ratio was closely associated with insulin resistance and combined LDL + VLDL-cholesterol. When separated by sex, it became clear that these relationships were stronger in boys than in girls. Subjects were stratified into BMI percentile based tertiles. For boys, the android/gynoid ratio was significantly related to insulin resistance regardless of BMI tertile with and LDL + VLDL in tertiles 1 and 3. For girls, only LDL + VLDL showed any significance with android/gynoid ratio and only in tertile 2. We conclude that the android/gynoid fat ratio is closely associated with insulin resistance and LDL + VLDL-, “bad,” cholesterol in normal weight boys and may provide a measurement of metabolic and cardiovascular disease risk in that population. PMID:25302115

  1. Importance of android/gynoid fat ratio in predicting metabolic and cardiovascular disease risk in normal weight as well as overweight and obese children.

    Science.gov (United States)

    Samsell, Lennie; Regier, Michael; Walton, Cheryl; Cottrell, Lesley

    2014-01-01

    Numerous studies have shown that android or truncal obesity is associated with a risk for metabolic and cardiovascular disease, yet there is evidence that gynoid fat distribution may be protective. However, these studies have focused on adults and obese children. The purpose of our study was to determine if the android/gynoid fat ratio is positively correlated with insulin resistance, HOMA2-IR, and dislipidemia in a child sample of varying body sizes. In 7-13-year-old children with BMI percentiles ranging from 0.1 to 99.6, the android/gynoid ratio was closely associated with insulin resistance and combined LDL + VLDL-cholesterol. When separated by sex, it became clear that these relationships were stronger in boys than in girls. Subjects were stratified into BMI percentile based tertiles. For boys, the android/gynoid ratio was significantly related to insulin resistance regardless of BMI tertile with and LDL + VLDL in tertiles 1 and 3. For girls, only LDL + VLDL showed any significance with android/gynoid ratio and only in tertile 2. We conclude that the android/gynoid fat ratio is closely associated with insulin resistance and LDL + VLDL-, "bad," cholesterol in normal weight boys and may provide a measurement of metabolic and cardiovascular disease risk in that population.

  2. Pre-treatment diffusion-weighted MR imaging for predicting tumor recurrence in uterine cervical cancer treated with concurrent chemoradiation: Value of histogram analysis of apparent diffusion coefficients

    Energy Technology Data Exchange (ETDEWEB)

    Heo, Suk Hee; Kim, Jin Woong; Lim, Hyo Soon; Jeong, Yong Yeon; Kang, Woo Dae; KIm, Seok Mo; Kang, Heong Keun [Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun (Korea, Republic of); Shin, Sang Soo [Chonnam National University Hospital, Chonnam National University Medical School, Gwangju (Korea, Republic of)

    2013-08-15

    To evaluate the value of apparent diffusion coefficient (ADC) histogram analysis for predicting tumor recurrence in patients with uterine cervical cancer treated with chemoradiation therapy (CRT). Our institutional review board approved this retrospective study and waived informed consent from each patient. Forty-two patients (mean age, 56 ± 14 years) with biopsy-proven uterine cervical squamous cell carcinoma who underwent both pre-treatment pelvic magnetic resonance imaging with a 3.0 T magnetic resonance scanner and concurrent CRT were included. All patients were followed-up for more than 6 months (mean, 36.4 ± 11.9 months; range 9.0-52.8 months) after completion of CRT. Baseline ADC parameters (mean ADC, 25th percentile, 50th percentile, and 75th percentile ADC values) of tumors were calculated and compared between the recurrence and no recurrence groups. In the recurrence group, the mean ADC and 75th percentile ADC values of tumors were significantly higher than those of the no recurrence group (p = 0.043 and p = 0.008, respectively). In multivariate analysis, the 75th percentile ADC value of tumors was a significant predictor for tumor recurrence (p = 0.009; hazard ratio, 1.319). When the cut-off value of the 75th percentile ADC (0.936 x 10{sup -3} mm{sup 2}/sec) was used, the overall recurrence free survival rate above the cut-off value was significantly lower than that below the cut-off value (51.9% vs. 91.7%, p = 0.003, log-rank test). Pre-CRT ADC histogram analysis may serve as a biomarker for predicting tumor recurrence in patients with uterine cervical cancer treated with CRT.

  3. The Influence of Weight-Loss Expectations on Weight Loss and of Weight-Loss Satisfaction on Weight Maintenance in Severe Obesity.

    Science.gov (United States)

    Calugi, Simona; Marchesini, Giulio; El Ghoch, Marwan; Gavasso, Ilaria; Dalle Grave, Riccardo

    2017-01-01

    Conflicting evidence exists as to whether cognitive mechanisms contribute to weight loss and maintenance. To assess the influence of weight-loss expectations on weight loss, and of weight-loss satisfaction on weight maintenance, in individuals with severe obesity. A randomized controlled trial comparing two types of energy-restricted diets (high protein vs high carbohydrate) combined with weight-loss cognitive behavioral therapy, conducted over 51 weeks and divided into two phases: weight-loss phase (3 weeks of inpatient treatment and 24 weeks of outpatient treatment) and weight maintenance phase (24 weeks of outpatient treatment). Eighty-eight participants with severe obesity (mean age=46.7 years and mean body mass index=45.6), referred to an eating and weight disorders clinical service, were studied. Body weight was assessed at baseline, and after 3, 27 (end of weight-loss phase), and 51 weeks (end of weight maintenance phase). Weight loss expectations were assessed at the time of enrollment, and weight-loss satisfaction was assessed after 27 weeks. The relationship between weight-loss expectations and weight loss was assessed using a linear mixed model. The association between weight-loss satisfaction and final outcomes was tested by linear regression. The two groups had similar weight-loss expectations and satisfaction, and their results were therefore pooled. In general, the total amount of expected weight loss (in kilograms), but not the percentage of expected weight loss, predicted weight loss, and both satisfaction with weight loss and the amount of weight lost (in kilograms) were independent predictors of weight maintenance. Higher expected weight loss improves weight loss, and both the total amount of weight lost and satisfaction with weight loss are associated with weight-loss maintenance at 1-year follow-up. Copyright © 2017 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

  4. Predictive value of diffusion-weighted imaging without and with including contrast-enhanced magnetic resonance imaging in image analysis of head and neck squamous cell carcinoma

    Energy Technology Data Exchange (ETDEWEB)

    Noij, Daniel P., E-mail: d.noij@vumc.nl [Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Pouwels, Petra J.W., E-mail: pjw.pouwels@vumc.nl [Department of Physics and Medical Technology, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Ljumanovic, Redina, E-mail: rljumanovic@adventh.org [Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Knol, Dirk L., E-mail: dirklknol@gmail.com [Department of Epidemiology and Biostatistics, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Doornaert, Patricia, E-mail: p.doornaert@vumc.nl [Department of Radiation Oncology, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Bree, Remco de, E-mail: r.debree@vumc.nl [Department of Otolaryngology – Head and Neck Surgery, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Castelijns, Jonas A., E-mail: j.castelijns@vumc.nl [Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands); Graaf, Pim de, E-mail: p.degraaf@vumc.nl [Department of Radiology and Nuclear Medicine, VU University Medical Center, De Boelelaan 1117, Amsterdam, Noord-Holland (Netherlands)

    2015-01-15

    Highlights: • Primary tumor volume and lymph node ADC1000 are predictors of survival. • CE-T1WI does not improve the prognostic capacity of DWI. • Using CE-T1WI for ROI placement results in lower interobserver agreement. - Abstract: Objectives: To assess disease-free survival (DFS) in head and neck squamous cell carcinoma (HNSCC) treated with (chemo)radiotherapy ([C]RT). Methods: Pretreatment MR-images of 78 patients were retrospectively studied. Apparent diffusion coefficients (ADC) were calculated with two sets of two b-values: 0–750 s/mm{sup 2} (ADC{sub 750}) and 0–1000 s/mm{sup 2} (ADC{sub 1000}). One observer assessed tumor volume on T1-WI. Two independent observers assessed ADC-values of primary tumor and largest lymph node in two sessions (i.e. without and with including CE-T1WI in image analysis). Interobserver and intersession agreement were assessed with intraclass correlation coefficients (ICC) separately for ADC{sub 750} and ADC{sub 1000}. Lesion volumes and ADC-values were related to DFS using Cox regression analysis. Results: Median follow-up was 18 months. Interobserver ICC was better without than with CE-T1WI (primary tumor: 0.92 and 0.75–0.83, respectively; lymph node: 0.81–0.83 and 0.61–0.64, respectively). Intersession ICC ranged from 0.84 to 0.89. With CE-T1WI, mean ADC-values of primary tumor and lymph node were higher at both b-values than without CE-T1WI (P < 0.001). Tumor volume (sensitivity: 73%; specificity: 57%) and lymph node ADC{sub 1000} (sensitivity: 71–79%; specificity: 77–79%) were independent significant predictors of DFS without and with including CE-T1WI (P < 0.05). Conclusions: Pretreatment primary tumor volume and lymph node ADC{sub 1000} were significant independent predictors of DFS in HNSCC treated with (C)RT. DFS could be predicted from ADC-values acquired without and with including CE-T1WI in image analysis. The inclusion of CE-T1WI did not result in significant improvements in the predictive value of

  5. Why expressive suppression does not pay? Cognitive costs of negative emotion suppression: The mediating role of subjective tense-arousal

    Directory of Open Access Journals (Sweden)

    Szczygieł Dorota

    2015-09-01

    Full Text Available The aim of this paper was to contribute to a broader understanding of the cognitive consequences of expressive suppression. Specifically, we examined whether the deteriorating effect of expressive suppression on cognitive functioning is caused by tense arousal enhanced by suppression. Two experiments were performed in order to test this prediction. In both studies we tested the effect of expressive suppression on working memory, as measured with a backwards digit-span task (Study 1, N = 43 and anagram problem-solving task (Study 2, N = 60. In addition, in Study 2 we tested whether expressive suppression degrades memory of the events that emerged during the period of expressive suppression. Both studies were conducted in a similar design: Participants watched a film clip which evoked negative emotions (i.e. disgust in Study 1 and a combination of sadness and anxiety in Study 2 under the instruction to suppress those negative emotions or (in the control condition to simply watch the film. The results of these experiments lead to three conclusions. First, the results reveal that expressive suppression degrades memory of the events that emerged during the period of expressive suppression and leads to poorer performance on working memory tasks, as measured with a backwards digit-span task and anagram problem-solving task. Second, the results indicate that expressive suppression leads to a significant increase in subjective tense arousal. Third, the results support our prediction that expressive suppression decreases cognitive performance through its effects on subjective tense arousal. The results of the Study 1 show that tense arousal activated during expressive suppression of disgust fully mediates the negative effect of suppression on working memory as measured with a backwards digit-span task. The results of Study 2 reveal that subjective tense arousal elicited while suppressing sadness and anxiety mediates both the effect of suppression on

  6. What is the strongest predictor of birth weight: Gestational age, hbalc, maternal weight, weight gain, or birth weight of sibling?

    DEFF Research Database (Denmark)

    Nielsen, Gunnar Lauge; Dethlefsen, Claus

    Aim: To assess the effect of various maternal characteristics in diabetic pregnancies on birthweight (BW) taking into account birthweight of an elderly sibling.  Method: We identified all pregnant diabetic women in North Jutland County. Birthweight and certain maternal characteristics including H...... for various increments in each of the 9 variables are seen in the table. All significant values are in bold face.  Conclusion: Weight of sibling is a very strong predictor of birthweight attenuating the predictive power of all other variablesapart from gestational age....... adjusted for age and sex using a Danish reference. E.g. an observed sibling weight of 3800 g with expected BW 3400 g predicts 11.8% extra weight equal to 134 grams (114x11.8) and one extra gestational day predicts an additional weight of 27 grams.  Results: The effects in terms of additional grams in BW...

  7. 灰色加权马氏链组合在航空装备事故预测中的应用%Grey Weighted Markov Chains Combination Method and Application in Aviation Equipment Accident Prediction

    Institute of Scientific and Technical Information of China (English)

    甘旭升; 李华平; 高建国

    2014-01-01

    为提高传统灰色马氏链组合模型的航空装备事故预测水平,引入加权马氏链,提出了一种改进的灰色马氏链组合预测方法。该方法先通过建立灰色模型,提取事故序列的趋势信息,然后再利用灰色残余信息构建加权马氏链模型,合理发挥各步长马氏链的作用,以期准确刻画随机波动规律。为验证其有效性,在美国空军A级飞行事故万时率实际数据基础上,建立了灰色加权马氏链组合预测模型,结果表明,模型对2000年~2002年预测的相对误差平均控制在4.59%以内,远高于灰色叠加马氏链模型,所建的模型能够比较客观地反映航空安全的未来发展现状。%To improve the prediction level of traditional Grey Markov chains model in aviation accident,an improved Grey Markov chains combination prediction method based on Weighted Markov chains is proposed. In the method,Grey model is firstly established to extract the trend information from accident data series,and then weighted Markov chains model for the residual information of Grey model is constructed to reasonably play the role of various step-size Markov chains for describing the stocha