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Sample records for factor analysis correlations

  1. Explicit correlation factors

    Science.gov (United States)

    Johnson, Cole M.; Hirata, So; Ten-no, Seiichiro

    2017-09-01

    We analyze the performance of 17 different correlation factors in explicitly correlated second-order many-body perturbation calculations for correlation energies. Highly performing correlation factors are found to have near-universal shape and size in the short range of electron-electron distance (0 1.5 a.u.) is insignificant insofar as the factor becomes near constant, leaving an orbital expansion to describe decoupled electrons. An analysis based on a low-rank Taylor expansion of the correlation factor seems limited, except that a negative second derivative with the value of around -1.3 a.u. correlates with high performance.

  2. The effects of common risk factors on stock returns: A detrended cross-correlation analysis

    Science.gov (United States)

    Ruan, Qingsong; Yang, Bingchan

    2017-10-01

    In this paper, we investigate the cross-correlations between Fama and French three factors and the return of American industries on the basis of cross-correlation statistic test and multifractal detrended cross-correlation analysis (MF-DCCA). Qualitatively, we find that the return series of Fama and French three factors and American industries were overall significantly cross-correlated based on the analysis of a statistic. Quantitatively, we find that the cross-correlations between three factors and the return of American industries were strongly multifractal, and applying MF-DCCA we also investigate the cross-correlation of industry returns and residuals. We find that there exists multifractality of industry returns and residuals. The result of correlation coefficients we can verify that there exist other factors which influence the industry returns except Fama three factors.

  3. Dissection of genomic correlation matrices of US Holsteins using multivariate factor analysis

    Science.gov (United States)

    Aim of the study was to compare correlation matrices between direct genomic predictions for 31 production, fitness and conformation traits both at genomic and chromosomal level in US Holstein bulls. Multivariate factor analysis was used to quantify basic features of correlation matrices. Factor extr...

  4. The Measurement and Analysis Risk Factors Dependence Correlation in Software Project

    Science.gov (United States)

    Jianjie, Ding; Hong, Hou; Kegang, Hao; Xiaoqun, Guo

    The complexity of software process leads to that there are all kinds of fuzzy correlations among different process management risk factors, such as dependence correlation among software risk factors. It’s difficult to analyze risk data directly by mathematic tools because that risk data is uncertain and rough. Based on the rough set theory and the data in risk management library, the risk factors dependence correlation analysis system(RFDCAS) is established, and the dependence coefficient and its calculate formula on the base of equivalence class is suggested. The RFDCAS unveils the dependence correlation among risk factors contribute to risk management, and can help discover the problems in the software process improvement management.

  5. Confirmatory factor analysis and job burnout correlates of the Health Professions Stress Inventory.

    Science.gov (United States)

    Akhtar, Syed; Lee, Jenny S Y

    2002-02-01

    Previous research in 1994 by Gupchup and Wolfgang identified four factors from Wolfgang's Health Professions Stress Inventory (1988) that were common among a sample of practicing pharmacists. The factors were labeled Professional Recognition. Patient Care Responsibilities, Job Conflicts, and Professional Uncertainty, respectively. We used confirmatory factor analysis to assess whether this factor structure was generalizable to nurses. To examine concurrent validity, we correlated the factors with Maslach and Jackson's three dimensions of job burnout, i.e., Emotional Exhaustion, Depersonalization, and Personal Accomplishment. Data were collected through a questionnaire survey of a random sample of 9,380 nurses from across 43 public hospitals in Hong Kong, from which 2,267 (24.2%) responded. Analysis indicated statistically acceptable goodness of fit indices for the four-factor solution. Except for the factor Patient Care Responsibilities. all other factors had moderate correlations between .44 and .53 with Emotional Exhaustion and Depersonalization. Correlations between the factors of Stress Inventory and Personal Accomplishment were small but significant, ranging from -.25 to .13. Areas for further improving the psychometric properties of the inventory are discussed.

  6. Correlation Factor Analysis of Retinal Microvascular Changes in Patients With Essential Hypertension

    Institute of Scientific and Technical Information of China (English)

    Huang Duru; Huang Zhongning

    2006-01-01

    Objectives To investigate correlation between retinal microvascular signs and essential hypertension classification. Methods The retinal microvascular signs in patients with essential hypertension were assessed with the indirect biomicroscopy lens, the direct and the indirect ophthalmoscopes were used to determine the hypertensive retinopathy grades and retinal arteriosclerosis grades.The rank correlation analysis was used to analysis the correlation these grades with the risk factors concerned with hypertension. Results Of 72 cases with essential hypertension, 28 cases complicated with coronary disease, 20 cases diabetes, 41 cases stroke,17 cases renal malfunction. Varying extent retinal arterioscleroses were found in 71 cases, 1 case with retinal hemorrhage, 2 cases with retina edema, 4 cases with retinal hard exudation, 5 cases with retinal hemorrhage complicated by hard exudation, 2 cases with retinal hemorrhage complicated by hard exudation and cotton wool spot, 1 case with retinal hemorrhage complicated by hard exudation and microaneurysms,1 case with retinal edema and hard exudation, 1 case with retinal microaneurysms, 1 case with branch retinal vein occlusion. The rank correlation analysis showed that either hypertensive retinopathy grades or retinal arteriosclerosis grades were correlated with risk factor lamination of hypertension (r=0.25 or 0.31, P<0.05), other correlation factors included age and blood high density lipoprotein concerned about hypertensive retinopathy grades or retinal arteriosclerosis grades, but other parameters, namely systolic or diastolic pressure, total cholesterol, triglyceride, low density lipoprotein cholesterol, fasting blood glucose,blood urea nitrogen and blood creatinine were not confirmed in this correlation analysis (P > 0.05).Conclusions Either hypertensive retinopathy grade or retinal arteriosclerosis grade is close with the hypertension risk factor lamination, suggesting that the fundus examination of patients with

  7. Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range

    DEFF Research Database (Denmark)

    Thorson, James T.; Scheuerell, Mark D.; Shelton, Andrew O.;

    2015-01-01

    1. Predicting and explaining the distribution and density of species is one of the oldest concerns in ecology. Species distributions can be estimated using geostatistical methods, which estimate a latent spatial variable explaining observed variation in densities, but geostatistical methods may...... be imprecise for species with low densities or few observations. Additionally, simple geostatistical methods fail to account for correlations in distribution among species and generally estimate such cross-correlations as a post hoc exercise. 2. We therefore present spatial factor analysis (SFA), a spatial...

  8. Personality disorders in substance abusers: Validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

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    Hesse Morten

    2005-05-01

    Full Text Available Abstract Background Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated. Methods The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133, and (b a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales. Results It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion. Conclusion The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.

  9. Correlation Analysis of Personality Characteristics of Children with TIC Disorder with Family Factors

    Institute of Scientific and Technical Information of China (English)

    LI Rui; WANG Liqun; MA Chunxia; MA Lixian

    2016-01-01

    Objective To explore the personality characteristics of children with tic disorders and their relationship with family factors.Methods Sixty cases of children with tic disorders diagnosed in our hospital were selected as the case group and 65 cases of normal children were selected as the control group.The children of two groups were assessed using Eysenck Personality Questionnaire (EPQ),Family Environment Scale (FES-CV) and general situation questionnaire of family (GSQ),respectively.The scores of EPQ personality characteristics,FES-CV and GSQ scores were compared for the children in the two groups.The Person correlation analysis method was used to analyze the correlation between personality scores of children in case group and family environment factors.Results The general situation questionnaire results showed that there was significant statistically difference in parenting style,parental education level and family types of the children between case group and control group (P < 0.05);EPQ results showed that the neuroticism and psychoticism scores of children in the case group were significantly higher than those in the control group (P< 0.05) and the lying degree scores in the control group were significantly higher than those in the case group (P< 0.05);FES-CV results showed that the family cohesion scores of the case group were significantly lower than those of the control group (P<0.05),and the family conflict scores in the case group were significantly higher than those in the control group (P<0.05).The Person correlation analysis results indicated that the psychoticism score was negatively correlated with the score of family cohesion (P<0.05),and positively correlated with family conflict (P<0.05),while the neuroticism score was positively correlated with family conflict score (P<0.05).Conclusion The children with tic disorders have significant personality deviation compared to the normal children,and the personality deviation degree is

  10. Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.

    Directory of Open Access Journals (Sweden)

    Chengjing Nie

    Full Text Available BACKGROUND: In the past decade, bacillary dysentery was still a big public health problem in China, especially in Guangxi Province, where thousands of severe diarrhea cases occur every year. METHODS: Reported bacillary dysentery cases in Guangxi Province were obtained from local Centers for Diseases Prevention and Control. The 14 socio-economic indexes were selected as potential explanatory variables for the study. The spatial correlation analysis was used to explore the associations between the selected factors and bacillary dysentery incidence at county level, which was based on the software of ArcGIS10.2 and GeoDA 0.9.5i. RESULTS: The proportion of primary industry, the proportion of younger than 5-year-old children in total population, the number of hospitals per thousand persons and the rates of bacillary dysentery incidence show statistically significant positive correlation. But the proportion of secondary industry, per capital GDP, per capital government revenue, rural population proportion, popularization rate of tap water in rural area, access rate to the sanitation toilets in rural, number of beds in hospitals per thousand persons, medical and technical personnel per thousand persons and the rate of bacillary dysentery incidence show statistically significant negative correlation. The socio-economic factors can be divided into four aspects, including economic development, health development, medical development and human own condition. The four aspects were not isolated from each other, but interacted with each other.

  11. [Correlation analysis between meteorological factors, biomass, and active components of Salvia miltiorrhiza in different climatic zones].

    Science.gov (United States)

    Zhang, Chen-lu; Liang, Zong-suo; Guo, Hong-bo; Liu, Jing-ling; Liu, Yan; Liu, Feng-hua; Wei, Lang-zhu

    2015-02-01

    In this study, the growth and accumulation of active components of Salvia miltiorrhiza in twenty two experimental sites which crossing through three typical climate zones. The S. miltiorrhiza seedlings with the same genotype were planted in each site in spring, which were cultivated in fields with uniform management during their growing seasons till to harvest. The diterpene ketones (dihydrotanshinone, cryptotanshinone, tanshinone I and tanshinone II(A)) in S. miltiorrhiza root samples were determined by using high-performance liquid chromatography (HPLC) method. The biomass of root (root length, number of root branches, root width and dry weight) was also measured. The results showed that tanshinone II(A) in all samples of each site were higher than the standards required by China Pharmacopoeia. It has been found there is a relationship between root shape and climate change. The correlation analysis between active components and meteorological factors showed that the accumulation of tanshinones were effected by such meteorological factors as average relative humidity from April to October > average vapor pressure from April to October > average temperature difference day and night from April to October > annual average temperature and so on. The correlation analysis between root biomass and meteorological factors exhibited that root shape and accumulation of dry matter were affected by those factors, such as average annual aboveground (0-20 cm) temperature from April to October > annual average temperature > average vapor pressure from April to October > annual active accumulated temperature > annual average temperature > average vapor pressure from April to October. The accumulation of tanshinones and biomass was increased with the decrease of latitude. At the same time, the dry matter and diameter of root decreased if altitude rises. In addition, S. miltiorrhiza required sunlight is not sophisticated, when compared with humid and temperature. To sum up, S

  12. Analysis of thoracic epidurography and correlating factors affecting the extent of contrast medium spread

    Science.gov (United States)

    Oh, Jung Hue; Park, Ki Bum

    2016-01-01

    Background Thoracic epidural anesthesia is frequently used to maintain intraoperative and postoperative analgesia. Frequently, 3 ml of local anesthetic is used as a test dose, or for intermittent epidural injection. We assessed the extent of the spread of 3 ml of contrast medium in the thoracic epidural space and attempted to identify any correlating factors affecting the epidurography. Methods A total of 70 patients were enrolled in the study, and thoracic epidural catheterizations were performed under fluoroscopic guidance. Using 3 ml of contrast medium, epidurography was evaluated to confirm the number of spinal segments covered by the contrast medium. Correlation analysis was performed between patient characteristics (sex, age, body mass index, weight, height, and location of catheter tip) and the extent of the contrast spread. Results The mean number of vertebral segments evaluated by contrast medium was 7.9 ± 2.2 using 3 ml of contrast medium. The contrast spread in the cranial direction showed more extensive distribution than that in the caudal direction, with statistical significance (P spread, and patient height showed a weak negative correlation with the distribution of contrast medium.

  13. Physiological knock-knee in preschool children: prevalence, correlating factors, gait analysis, and clinical significance.

    Science.gov (United States)

    Lin, C J; Lin, S C; Huang, W; Ho, C S; Chou, Y L

    1999-01-01

    Physiological knock-knee (PKK) was categorized by measuring intermalleolar distance (IMD), a clinically simple method, to evaluate the prevalence and correlating factors in 305 preschool children. The prevalence in this cross-sectional study was relatively high, and it was age related (p = 0.002; 64, 44, and 34% for ages 3-4, 4-5, and 5-6 years, respectively). The following factors were correlated with PKK: use of walking chair early (p = 0.0001), independently walked late (p = 0.0005), dependently walked longer (p = 0.0001), concurrence with flatfoot (p = 0.001), and angular deformity (toe in/out, p = 0.03). Gait analysis, with spatiotemporal, kinematics, and kinetics parameters, was performed to evaluate the ambulatory significance. Preschool children with PKK have a shorter stride length (p = 0.02) and a slower walking speed (p = 0.004). Dynamic hyperextension of the knee is noted for 8 degrees during the whole gait cycle (p PKK is a variable that should be considered in the development of mature gait for preschool children.

  14. Correlative Analysis on Forestry Land and Topography Factors Based on Tianguan Town of Youyang County

    Institute of Scientific and Technical Information of China (English)

    Shiyou; XIE; Jianli; HAN

    2013-01-01

    In order to more clearly understand the relevance of the forestry land distribution and the terrain factors,basic information was given in this paper on the reasonable utilization of forest resources in mountainous areas and the ecological environment protection.Based on the registration overlay analysis of high resolution aerial,satellite photograph and 1∶10 000 topographic map by making use of geostatistics of ArcGIS9.3,different photo color referred to different types of vegetation landscape,acquired factor data in small classes of woodland with visual interpretation in small classes of woodland and field research,and the correlation between forestry land and topography factors were discussed.It was shown that:in areas of low elevation and low slope where human beings were highly involved,all sorts of forestry land were distributed,which meant evolution and slope had little effect on forestry land,and that in those areas where human activities were lessened little by little with high elevation and high slope,kinds of forestry land decreased accordingly.Furthermore,the irrigated paddy fields were the main types of forestry land on the elevation of 1 200 m and slope above 35°.Differences among kinds of forestry land were comparatively indistinct from the perspective of slope.

  15. Correlation Relationship of Performance Shaping Factors (PSFs) for Human Reliability Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Bheka, M. Khumalo; Kim, Jonghyun [KEPCO International Nuclear Graduate School, Ulsan (Korea, Republic of)

    2014-10-15

    between PSFs using correlation analysis and identify patterns in the PSFs using Principal Factor Analysis (PFA). The study is specifically based on Operational Performance Information Systems (OPIS) database. This study was conducted to determine causal relationships between PSFs and also find sets of PSFs (error forcing context) which contribute more to human error probabilities. These goals were achieved using correlation and principal factor analysis.

  16. Analysis of angiogenic factors and cyclooxygenase-2 expression in cartilaginous tumors: clinical and histological correlation

    Directory of Open Access Journals (Sweden)

    Francisco Fontes Cintra

    2011-01-01

    Full Text Available OBJECTIVES: To study the role of angiogenesis and cyclooxygenase-2 expression in cartilaginous tumors and correlate these factors with prognosis. INTRODUCTION: For chondrosarcoma, the histological grade is the current standard for predicting tumor outcome. However, a low-grade chondrosarcoma can follow an aggressive course-as monitored by sequential imaging techniques-even when it is histologically indistinguishable from an enchondroma. Therefore, additional tools are needed to help identify the biological potential of these tumors. The degree of angiogenesis that is induced by the tumor could assist in this task. Angiogenesis can be quantified by measuring the expression of vascular endothelial growth factor and CD34, and cyclooxygenase-2 can induce angiogenesis by stimulating the production of proangiogenic factors. METHODS: In total, 21 enchondromas and 58 conventional chondrosarcomas were studied by examining the clinical and histopathological findings in conjunction with the immunostaining markers of angiogenesis and cyclooxygenase- 2 expression. RESULTS: The significant variables that were associated with poor outcome were 1 higher-grade chondrosarcomas, 2 tumors that developed in flat bones, and 3 over-expression of CD34 (with a median count that was higher than 5.9 vessels in 5 high power fields. Moreover, CD34 expression (measured using the Chalkley method revealed significantly higher microvessel density in flat bone chondrosarcomas. DISCUSSION: Previous studies have shown a positive correlation between Chalkley microvessel density and histological grade; however, in our sample, we found that the former is predictive of the outcome. Chondrosarcomas in flat bones have been shown to correlate with a poor prognosis. We also found that CD34 microvessel density values were significantly higher in flat-bone chondrosarcomas. This could explain-at least in part-the more aggressive biological course that is taken by these tumors. CONCLUSIONS

  17. Dynamical Behaviors between the PM10 and the meteorological factor using the detrended cross-correlation analysis method

    Science.gov (United States)

    Kim, Kyungsik; Lee, Dong-In

    2013-04-01

    There is considerable interest in cross-correlations in collective modes of real data from atmospheric geophysics, seismology, finance, physiology, genomics, and nanodevices. If two systems interact mutually, that interaction gives rise to collective modes. This phenomenon is able to be analyzed using the cross-correlation of traditional methods, random matrix theory, and the detrended cross-correlation analysis method. The detrended cross-correlation analysis method was used in the past to analyze several models such as autoregressive fractionally integrated moving average processes, stock prices and their trading volumes, and taxi accidents. Particulate matter is composed of the organic and inorganic mixtures such as the natural sea salt, soil particle, vehicles exhaust, construction dust, and soot. The PM10 is known as the particle with the aerodynamic diameter (less than 10 microns) that is able to enter the human respiratory system. The PM10 concentration has an effect on the climate change by causing an unbalance of the global radiative equilibrium through the direct effect that blocks the stoma of plants and cuts off the solar radiation, different from the indirect effect that changes the optical property of clouds, cloudiness, and lifetime of clouds. Various factors contribute to the degree of the PM10 concentration. Notable among these are the land-use types, surface vegetation coverage, as well as meteorological factors. In this study, we analyze and simulate cross-correlations in time scales between the PM10 concentration and the meteorological factor (among temperature, wind speed and humidity) using the detrended cross-correlation analysis method through the removal of specific trends at eight cities in the Korean peninsula. We divide time series data into Asian dust events and non-Asian dust events to analyze the change of meteorological factors on the fluctuation of PM10 the concentration during Asian dust events. In particular, our result is

  18. Gastrointestinal symptoms in patients undergoing peritoneal dialysis: Multivariate analysis of correlated factors

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    AIM: To investigate gastrointestinal (GI) symptoms in peritoneal dialysis (PD) patients and to explore related factors contributing to GI symptoms. METHODS: One hundred and twelve patients undergoing PD participated in the study. The gastrointestinal symptom rating scale was used for measuring GI symptoms. Information on age, height, weight, body mass index, disease leading to chronic renal failure, history of corticosteroid therapy, presence of predialytic GI symptoms, daily dosage of pills, and duration, ...

  19. [Epidemiological investigation and correlation factors analysis of voice diseases of 5758 business dealers].

    Science.gov (United States)

    Lou, Zhengcai; Zhu, Qiaoying; Zong, Huiqin; Fu, Weiqing; Zhang, Jian

    2008-02-01

    To investigate the epidemic features and risk factors of voice diseases of 5758 business dealers. Questionnaire survey was conducted among 5785 business dealers of four markets in Yiwu city by random cluster sampling from March to July, 2006. They were also examined by indirect laryngoscopy. The incidence of voice disease was calculated and the risk factors were evaluated in four markets. The incidence of voice disease was 39.3%, 18.8%, 28.4% and 58.1% in garment market, crafts market, stock market, and vegetable market, respectively. The average incidence was 30.4% in four markets. The difference of incidence among four markets was statistically significant (P market. Chronic laryngitis and polyp of vocal cord were found to be the major pathological manifestations in men, while Chronic laryngitis and vocal nodules were found to be the major pathological manifestations in women. In addition, laryngeal carcinoma was confirmed in 8 cases. Market noise, pollution, unhealthy habits of business trade and excessive voice were the high risk factors. The female and the business dealers aged from 30 to 50 were the high risk people. Varied relevant measures should be taken to prevent and control voice disease in different subgroups of population. People should be examined thoroughly as soon as they got voice problem. Improvement of market environment and timely intervention may reduce the prevalence rate of voice disease.

  20. Etiological factors correlated with temporomandibular disorder in complete denture wearers: a comparative analysis

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    Ricardo Alexandre Zavanelli

    2009-01-01

    Full Text Available Objective: The aim of this study was to make a comparative evaluation of the prevalence of temporomandibular disorder in complete denturewearers, with regard to the etiological factors, such as gender, age, and complete dentures clinical conditions, according to the anamnestic(Ai and clinical (Di dysfunction index, developed by Helkimo.Methods: The randomized sample was composed of 90 institutionalized patients and bimaxillary complete denture wearers, with a mean ageof 67.2 years, who were included in this study. The collected data were tabulated and the Kruskal-Wallis and Chi-square statistical tests were applied, at the level of significance of 5% (p<0.05.Results: Statistically significant difference in the prevalence of temporomandibular disorder was observed with regard to the ages of the current complete dentures, free-way space, wear of the occlusal surfaces of the artificial teeth, and the conditions of retention and stability of the maxillary and mandibular complete dentures, according to both the indexes. Conclusion: The patients who wore complete dentures in adequate clinical conditions presented fewer signs and symptoms of temporomandibular disorder than the patients who wore complete dentures in poor clinical conditions.

  1. Effects of measurement errors on psychometric measurements in ergonomics studies: Implications for correlations, ANOVA, linear regression, factor analysis, and linear discriminant analysis.

    Science.gov (United States)

    Liu, Yan; Salvendy, Gavriel

    2009-05-01

    This paper aims to demonstrate the effects of measurement errors on psychometric measurements in ergonomics studies. A variety of sources can cause random measurement errors in ergonomics studies and these errors can distort virtually every statistic computed and lead investigators to erroneous conclusions. The effects of measurement errors on five most widely used statistical analysis tools have been discussed and illustrated: correlation; ANOVA; linear regression; factor analysis; linear discriminant analysis. It has been shown that measurement errors can greatly attenuate correlations between variables, reduce statistical power of ANOVA, distort (overestimate, underestimate or even change the sign of) regression coefficients, underrate the explanation contributions of the most important factors in factor analysis and depreciate the significance of discriminant function and discrimination abilities of individual variables in discrimination analysis. The discussions will be restricted to subjective scales and survey methods and their reliability estimates. Other methods applied in ergonomics research, such as physical and electrophysiological measurements and chemical and biomedical analysis methods, also have issues of measurement errors, but they are beyond the scope of this paper. As there has been increasing interest in the development and testing of theories in ergonomics research, it has become very important for ergonomics researchers to understand the effects of measurement errors on their experiment results, which the authors believe is very critical to research progress in theory development and cumulative knowledge in the ergonomics field.

  2. Analysis of the heat transfer and friction factor correlations influence in the prediction of evaporating flows inside tubes

    Energy Technology Data Exchange (ETDEWEB)

    Raush, G.; Rigola, J.; Morales-Ruiz, S.; Oliva, A.; Perez-Segarra, C.D. [Centre Tecnologic de Transferencia de Calor (CTTC), Universitat Politecnica de Catalunya (UPC), ETSEIAT, C. Colom 11, 08222 Terrassa (Barcelona) (Spain)

    2009-11-15

    A methodology for analysing the influence of the heat transfer and friction factor correlations in the prediction of the two-phase flows inside horizontal ducts under evaporation phenomena is presented. An experimental unit based on single stage vapor compression refrigerating system with two parallel evaporation devices has been built to work under real refrigeration conditions. The first evaporation device consists of a double pipe evaporator which allows determining the heat flux through the pipe. The second device is an electrically heated pipe evaporator with uniformly distributed temperature and pressure sensors along the fluid path. The experimental data of temperature and pressure distribution along the smooth heated duct is compared with a selected set of heat transfer and friction factor correlations through a detailed numerical evaporation model. The aim of this paper is to determine possible criteria to select the most suitable heat transfer and friction factor correlations available. (author)

  3. Factor analysis

    CERN Document Server

    Gorsuch, Richard L

    2013-01-01

    Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.

  4. [Correlation analysis on normalized difference vegetation index (NDVI) of different vegetations and climatic factors in Southwest China].

    Science.gov (United States)

    Zhang, Yuan-Dong; Zhang, Xiao-He; Liu, Shi-Rong

    2011-02-01

    Based on the 1982-2006 NDVI remote sensing data and meteorological data of Southwest China, and by using GIS technology, this paper interpolated and extracted the mean annual temperature, annual precipitation, and drought index in the region, and analyzed the correlations of the annual variation of NDVI in different vegetation types (marsh, shrub, bush, grassland, meadow, coniferous forest, broad-leaved forest, alpine vegetation, and cultural vegetation) with corresponding climatic factors. In 1982-2006, the NDVI, mean annual temperature, and annual precipitation had an overall increasing trend, and the drought index decreased. Particularly, the upward trend of mean annual temperature was statistically significant. Among the nine vegetation types, the NDVI of bush and mash decreased, and the downward trend was significant for bush. The NDVI of the other seven vegetation types increased, and the upward trend was significant for coniferous forest, meadow, and alpine vegetation, and extremely significant for shrub. The mean annual temperature in the areas with all the nine vegetation types increased significantly, while the annual precipitation had no significant change. The drought index in the areas with marsh, bush, and cultural vegetation presented an increasing trend, that in the areas with meadow and alpine vegetation decreased significantly, and this index in the areas with other four vegetation types had an unobvious decreasing trend. The NDVI of shrub and coniferous forest had a significantly positive correlation with mean annual temperature, and that of shrub and meadow had significantly negative correlation with drought index. Under the conditions of the other two climatic factors unchanged, the NDVI of coniferous forest, broad-leaved forest, and alpine vegetation showed the strongest correlation with mean annual temperature, that of grass showed the strongest correlation with annual precipitation, and the NDVI of mash, shrub, grass, meadow, and cultural

  5. Analysis of Factors Influencing Comprehensive Productivity of Agriculture in Henan Province on the Basis of Grey Correlation

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive productivity of agriculture in Henan Province. Through calculation and analysis of grey correlation of variables and comprehensive productivity of agriculture, this paper determines the impact of different variables on comprehensive productivity of agriculture. The results show that the agricultural capital has become the most important factor influencing comprehensive productivity of agriculture in Henan Province, while the impact of production conditions, labour inputs and financial support on comprehensive productivity of agriculture in Henan Province diminishes in turn. Corresponding countermeasures and suggestions are put forward to promote the sustainable development of comprehensive productivity of agriculture in Henan Province as follows: strengthen agricultural financial system building, and ensure agricultural production expenditure; scientifically arrange allocation of agricultural resources, and improve agricultural production conditions; carry out training of agricultural skills, and elevate the quality of agricultural labour forces; increase financial expenditure for agricultural production, and optimize financial expenditure structure.

  6. A Geographic Information System (GIS-Based Analysis of Social Capital Data: Landscape Factors That Correlate with Trust

    Directory of Open Access Journals (Sweden)

    Sohrab Rahimi

    2017-03-01

    Full Text Available The field of community sociology has yielded rich insights on how neighborhoods and individuals foster social capital and reap the benefits of interpersonal relationships and institutions alike. Traditionally, institutions and cultural factors have been lauded as catalysts of community social life and cohesion. Yet, the built environment and configuration of the landscape, including infrastructure, amenities and population density, may also contribute to community social capital. In this article, we embedded zip code-level responses from Harvard University’s Saguaro Seminar’s 2006 Social Capital Community Benchmark Survey with a geographic information system. Specifically, we correlated responses on residents’ general trust, trust of one’s neighbors, and trust of members of other racial groups with local urban environmental factors and infrastructural indicators such as housing and street conditions, land use, city form, amenity access (e.g., libraries and schools, home vacancy rates, and home value. We conducted these tests at the national level and for Rochester, NY, due to its many survey responses. We found that housing vacancies drive down levels of social trust, as captured by homeownership rates and tenure, yielding higher levels of social trust, and that certain urban facilities correlate with high trust among neighbors. Results can inform urban planners on the amenities that support sustainable community ties.

  7. Psychological factors as correlates of underachievement among ...

    African Journals Online (AJOL)

    Psychological factors as correlates of underachievement among high achievers ... Data were collected using emotional intelligence scale (r=0.79), Academic self ... Data were analysed using pearson product moment correlation and multiple ...

  8. Analysis of the potential of cancer cell lines to release tissue factor-containing microvesicles: correlation with tissue factor and PAR2 expression.

    Science.gov (United States)

    Ettelaie, Camille; Collier, Mary Ew; Featherby, Sophie; Benelhaj, Naima E; Greenman, John; Maraveyas, Anthony

    2016-01-01

    Despite the association of cancer-derived circulating tissue factor (TF)-containing microvesicles and hypercoagulable state, correlations with the incidence of thrombosis remain unclear. In this study the upregulation of TF release upon activation of various cancer cell lines, and the correlation with TF and PAR2 expression and/or activity was examined. Microvesicle release was induced by PAR2 activation in seventeen cell lines and released microvesicle density, microvesicle-associated TF activity, and phoshpatidylserine-mediated activity were measured. The time-course for TF release was monitored over 90 min in each cell line. In addition, TF mRNA expression, cellular TF protein and cell-surface TF activities were quantified. Moreover, the relative expression of PAR2 mRNA and cellular protein were analysed. Any correlations between the above parameters were examined by determining the Pearson's correlation coefficients. TF release as microvesicles peaked between 30-60 min post-activation in the majority of cell lines tested. The magnitude of the maximal TF release positively correlated with TF mRNA (c = 0.717; p microvesicle release. However, TF release in resting cells did not significantly correlate with any of the parameters examined. Furthermore, TF mRNA expression correlated with PAR2 mRNA expression (c = 0.745; p < 0.001). In conclusion, our data suggest that TF and PAR2 mRNA, and PAR2 protein are better indicators of the ability of cancer cells to release TF and may constitute more accurate predictors of risk of thrombosis.

  9. Levels of serum homocysteine in depressive patients Self-correlation factor analysis and comparison with healthy subjects

    Institute of Scientific and Technical Information of China (English)

    Shanxin Wang; Bin Wang; Aihua Yin; Yang Wang

    2008-01-01

    BACKGROUND: Data indicate that the levels of serum homocysteine in depressive patients are higher than those in normal subjects. OBJECTIVE: To investigate the levels of serum homocysteine in patients with major depressive disorder, to determine whether serum homocysteine levels differ with sex, family history, or drug treatment, and to compare depressive patients with normal subjects. DESIGN: Non-randomized concurrent control trial.SETTING: Mental Heath Center of Shandong Province.PARTICIPANTS: Forty in-patients (23 males and 17 females, 18-63 years old) with major depressive disorder were selected from the Mental Health Center of Shandong Province from January to October 2006. All selected patients met the depressive diagnostic standard of Chinese Classification of Mental Disorder (3rd Edition, CCMD-3), and total scores evaluated by the 17-item Hamilton Rating Scale for Depression (HRSD) were ≥ 20. Meanwhile, 36 healthy subjects (20 males and 16 females, 18-60 years old) were enrolled as controls; their total 17-item HRSD scores were ≤ 7. All selected subjects provided consent, and the study was approved by the local ethics committee. METHODS: Fasting venous blood (3 mL) was drawn in both groups at 8:00 in the morning. The levels of serum homocysteine were determined by a fluorescence polarization immunoassay (FPIA). The 17-item HRSD was also compiled from the patients when entering groups. The higher the scores were, the more severe the depression was. Enumeration data for both groups were compared by Chi-square test, measurement data were compared by t-test, and correlations were detected using Pearson and Spearman correlation analysis.MAIN OUTCOME MEASURES: ① Levels of serum homocysteine; ② incidence of hyperhomocysteinemia (Hhcy); ③ correlation between HRSD17 scores and levels of serum homocysteine in depressive patients.RESULTS: Forty depressive patients and 36 control subjects were included in the final analysis without any loss of participants.

  10. On the Blasius correlation for friction factors

    CERN Document Server

    Trinh, Khanh Tuoc

    2010-01-01

    The Blasius empirical correlation for turbulent pipe friction factors is derived from first principles and extended to non-Newtonian power law fluids. Two alternative formulations are obtained that both correlate well with the experimental measurements of Dodge, Bogue and Yoo. Key words: Blasius, turbulent friction factor, power law fluids

  11. 氯吡格雷抵抗相关因素分析%Correlation factor analysis on clopidogrel resistance

    Institute of Scientific and Technical Information of China (English)

    庞国珍; 高汉华; 黄石安; 王焱

    2012-01-01

    taking clopidogrel were higher than those after 3 d of medication. There was no significant difference in ISI and the coronary risk factor between resistance group and effec tive group( P >0. 05 ). Conclusion ①Insulin resistance and clopidogrel resistance rate has no correlation. ② The cor onary risk factor and clopidogrel resistance has no correlation. ③Clopidogrel can irreversibly inhibit the ADP which may up-regulate other platelet activation access.

  12. Multiview Bayesian Correlated Component Analysis

    DEFF Research Database (Denmark)

    Kamronn, Simon Due; Poulsen, Andreas Trier; Hansen, Lars Kai

    2015-01-01

    we denote Bayesian correlated component analysis, evaluates favorably against three relevant algorithms in simulated data. A well-established benchmark EEG data set is used to further validate the new model and infer the variability of spatial representations across multiple subjects....... are identical. Here we propose a hierarchical probabilistic model that can infer the level of universality in such multiview data, from completely unrelated representations, corresponding to canonical correlation analysis, to identical representations as in correlated component analysis. This new model, which...

  13. Logistic regression analysis of correlative factors for 413 asthma children%413例儿童哮喘危险因素Logistic回归分析

    Institute of Scientific and Technical Information of China (English)

    陈建平; 赵婉莹; 何念海; 周平; 王刚; 汪万军

    2011-01-01

    目的 调查重庆地区儿童哮喘发病的相关因素,为本地区儿童哮喘的防治提供参考.方法 第三军医大学西南医院儿科哮喘门诊或儿科病房2007年6月至2010年12月期间哮喘儿童413例,采取数字随机法选取同期来院体检及就诊非哮喘的儿童420例作为对照.通过问卷调查和做相应检查,追溯哮喘病史并随访其治疗情况,寻找哮喘发病的相关因素.结果 调查10个相关因素,经非条件Logistic回归分析,最终发现6个危险因素和2个保护因素,其中家族遗传性、特应性体质、皮肤点刺阳性、总IgE是儿童哮喘的高危因素.结论 遗传因素与哮喘密切相关,特应性体质是儿童哮喘的危险因素.母乳喂养和HAV感染为儿童哮喘保护因素.%Objective To study the correlative factors for asthma children in Chongqing, China. Methods This study enrolled 413 children with asthma from the Pediatric Asthma Outpatient Department and Pediatric Ward of Southwest Hospital of Third Military Medical University from Jun. 2007 to Dec. 2010. The control group included 420 children without asthma from the outpatients and the children who accepted physical examination in our hospital. Questionnaires, examinations, asthma history analysis and following-up were used to determine the correlative factors for asthma children. Results Totally 10 factors were investigated and analyzed by Logistic regression analysis. Two factors were excluded and eight factors were included in the end, and among the eight factors there were six risk factors and two protective factors. High risk factors included heredofamilial asthma, atopic constitution, positive response to skin prick test (SPT), and high total IgE level. Conclusion Genetic factors are closely correlated with the development of asthma children, and atopic constitution is a risk factor for asthma children. Protective factors include breastfeeding and hepatitis A virus (HAV) infection.

  14. An individual tooth wear index and an analysis of factors correlated to incisal and occlusal wear in an adult Swedish population.

    Science.gov (United States)

    Ekfeldt, A; Hugoson, A; Bergendal, T; Helkimo, M

    1990-10-01

    The aim of the study was to introduce an individual tooth wear index and to use this index to investigate factors correlated to occlusal wear. The material consisted of 585 randomly selected dentate individuals from the community of Jönköping, Sweden, who in 1983 reached the age of 20, 30, 40, 50, 60, 70, or 80 years. The degree of incisal and occlusal wear was evaluated for each single tooth in accordance with criteria presented earlier. An individual tooth wear index, which made it possible to rank individuals in accordance with incisal and occlusal wear, was used as dependent variable to investigate factors related to incisal and occlusal wear. Of all factors analyzed, the following were found to correlate significantly with increased incisal and occlusal wear: number of existing teeth, age, sex, occurrence of bruxism, use of snuff, and saliva buffer capacity. Stepwise multiple regression analysis gave a total explanation factor of R2 = 0.41. It was also possible to distinguish well between groups of individuals with and without tooth wear by means of these factors.

  15. Dissection of genomic correlation matrices using multivariate factor analysis in dairy and dual-purpose cattle breeds

    Science.gov (United States)

    SNP effects estimated in genomic selection programs allow for the prediction of direct genomic values (DGV) both at genome-wide and chromosomal level. As a consequence, genome-wide (G_GW) or chromosomal (G_CHR) correlation matrices between genomic predictions for different traits can be calculated. ...

  16. Interpretation of correlation analysis results

    OpenAIRE

    Kılıç, Selim

    2012-01-01

    Correlation analysis is used to quantify the degree of linear association between two variables. Correlation coefficient is showed as “r” and it may have values between (-) 1 and (+)1. The symbols (-) or (+) in front of “r coefficient” show the direction of correlation. The direction of association does not affect the strength of association. A “ r coefficient” which is equal or greater than 0.70 is accepted as a good association. Correlation coeefficient only remarks the strength of associat...

  17. Analysis of Turbine Blade Relative Cooling Flow Factor Used in the Subroutine Coolit Based on Film Cooling Correlations

    Science.gov (United States)

    Schneider, Steven J.

    2015-01-01

    Heat transfer correlations of data on flat plates are used to explore the parameters in the Coolit program used for calculating the quantity of cooling air for controlling turbine blade temperature. Correlations for both convection and film cooling are explored for their relevance to predicting blade temperature as a function of a total cooling flow which is split between external film and internal convection flows. Similar trends to those in Coolit are predicted as a function of the percent of the total cooling flow that is in the film. The exceptions are that no film or 100 percent convection is predicted to not be able to control blade temperature, while leaving less than 25 percent of the cooling flow in the convection path results in nearing a limit on convection cooling as predicted by a thermal effectiveness parameter not presently used in Coolit.

  18. Metabolic correlates of temperament factors of personality

    Energy Technology Data Exchange (ETDEWEB)

    Park, Hyun Soo; Cho, Sang Soo; Yoon, Eun Jin; Bang, Seong Ae; Kim, Yu Kyeong; Kim, Sang Eun [Seoul National University College of Medicine, Seoul (Korea, Republic of)

    2007-08-15

    Gender differences in personality are considered to have biological bases. In an attempt to understand the gender differences of personality on neurobiological bases, we conducted correlation analyses between regional brain glucose metabolism and temperament factors of personality in males and females. Thirty-six healthy right-handed volunteers (18 males, 33.8 {+-} 17.6 y;18 females, 36.2 {+-} 20.4 y) underwent FDG PET at resting state. Three temperament factors of personality (novelty seeking (NS), harm avoidance (HA), reward dependence (RD)) were assessed using Cloninger's 240-item Temperament and Character Inventory (TCI) within 10 days of FDG PET scan. Correlation between regional glucose metabolism and each temperament factor was tested using SPM2. In males, a significant negative correlation between NS score and glucose metabolism was observed in the bilateral superior temporal gyri, the hippocampus and the insula, while it was found in the bilateral middle frontal gyri, the right superior temporal gyrus and the left cingulate cortex and the putamen in females. A positive HA correlation was found in the right midbrain and the left cingulate gyrus in males, but in the bilateral basal ganglia in females. A negative RD correlation was observed in the right middle frontal and the left middle temporal gyri in males, while the correlation was found in the bilateral middle frontal gyri and the right basal ganglia and the superior temporal gyrus in females. These data demonstrate different cortical and subcortical metabolic correlates of temperament factors of personality between males and females. These results may help understand biological substrate of gender differences in personality and susceptibility to neuropsychiatric illnesses.

  19. Foundations of factor analysis

    CERN Document Server

    Mulaik, Stanley A

    2009-01-01

    Introduction Factor Analysis and Structural Theories Brief History of Factor Analysis as a Linear Model Example of Factor AnalysisMathematical Foundations for Factor Analysis Introduction Scalar AlgebraVectorsMatrix AlgebraDeterminants Treatment of Variables as Vectors Maxima and Minima of FunctionsComposite Variables and Linear Transformations Introduction Composite Variables Unweighted Composite VariablesDifferentially Weighted Composites Matrix EquationsMulti

  20. An analysis of factors correlated with the achievement of the goal standard for the science portion of the Connecticut Academic Performance Test

    Science.gov (United States)

    Kmetz, Barbara Fotta

    2001-07-01

    This study sought to identify factors that could be used to predict the success of students on the science portion of the grade ten Connecticut Academic Performance Test (CAPT). While the Connecticut State Department of Education measures student achievement in mathematics, reading and writing in grades 4, 6, and 8, science is assessed only in the grade ten CAPT. Since the CAPT science test does not identify specific areas in need of improvement, it is not possible to determine causes for low test scores. To address this, the study investigated the predictive values of the grade eight Mastery Tests in mathematics and reading, the student ability scores of the Otis-Lennon School Ability Index, and grades in prior science courses. The research sample consisted of five hundred and twenty-five students, member of the graduating classes of 2000 and 2001 in a large suburban high school. Students in the study had participated in the district testing program and their scores for the grade seven Otis-Lennon School Ability Test (OLSAT), the grade eight Connecticut Mastery Tests (CMT) and the grade ten Connecticut Academic Performance Tests (CAPT) were available for analysis. This study investigated correlations between student achievement on the CMT and the science subtest of the CAPT, between OLSAT scores and the CAPT science scores, and between grades in ninth grade science and CAPT science scores. Scores were disaggregated by gender and by course level. Hypotheses 1, 2, 3 and 4 investigated the Pearson Product Moment Correlations of the OLSAT, CMT and course grades with scores on the science portion of the CAPT. Hypothesis 5 compared the scores of male and female students, using the t-test of independent sample means. Calculations showed moderate correlations for hypotheses 1--4, and the hypotheses were accepted. Hypothesis 5 was accepted for one class and rejected for the other. On the whole, female students received higher course grades and lower standardized test

  1. Personality factors correlate with regional cerebral perfusion.

    Science.gov (United States)

    O'Gorman, R L; Kumari, V; Williams, S C R; Zelaya, F O; Connor, S E J; Alsop, D C; Gray, J A

    2006-06-01

    There is an increasing body of evidence pointing to a neurobiological basis of personality. The purpose of this study was to investigate the biological bases of the major dimensions of Eysenck's and Cloninger's models of personality using a noninvasive magnetic resonance perfusion imaging technique in 30 young, healthy subjects. An unbiased voxel-based analysis was used to identify regions where the regional perfusion demonstrated significant correlation with any of the personality dimensions. Highly significant positive correlations emerged between extraversion and perfusion in the basal ganglia, thalamus, inferior frontal gyrus and cerebellum and between novelty seeking and perfusion in the cerebellum, cuneus and thalamus. Strong negative correlations emerged between psychoticism and perfusion in the basal ganglia and thalamus and between harm avoidance and perfusion in the cerebellar vermis, cuneus and inferior frontal gyrus. These observations suggest that personality traits are strongly associated with resting cerebral perfusion in a variety of cortical and subcortical regions and provide further evidence for the hypothesized neurobiological basis of personality. These results may also have important implications for functional neuroimaging studies, which typically rely on the modulation of cerebral hemodynamics for detection of task-induced activation since personality effects may influence the intersubject variability for both task-related activity and resting cerebral perfusion. This technique also offers a novel approach for the exploration of the neurobiological correlates of human personality.

  2. Development and preliminary validation of a questionnaire to measure satisfaction with home care in Greece: an exploratory factor analysis of polychoric correlations

    Directory of Open Access Journals (Sweden)

    Niakas Dimitris

    2010-07-01

    Full Text Available Abstract Background The primary aim of this study was to develop and psychometrically test a Greek-language instrument for measuring satisfaction with home care. The first empirical evidence about the level of satisfaction with these services in Greece is also provided. Methods The questionnaire resulted from literature search, on-site observation and cognitive interviews. It was applied in 2006 to a sample of 201 enrollees of five home care programs in the city of Thessaloniki and contains 31 items that measure satisfaction with individual service attributes and are expressed on a 5-point Likert scale. The latter has been usually considered in practice as an interval scale, although it is in principle ordinal. We thus treated the variable as an ordinal one, but also employed the traditional approach in order to compare the findings. Our analysis was therefore based on ordinal measures such as the polychoric correlation, Kendall's Tau b coefficient and ordinal Cronbach's alpha. Exploratory factor analysis was followed by an assessment of internal consistency reliability, test-retest reliability, construct validity and sensitivity. Results Analyses with ordinal and interval scale measures produced in essence very similar results and identified four multi-item scales. Three of these were found to be reliable and valid: socioeconomic change, staff skills and attitudes and service appropriateness. A fourth dimension -service planning- had lower internal consistency reliability and yet very satisfactory test-retest reliability, construct validity and floor and ceiling effects. The global satisfaction scale created was also quite reliable. Overall, participants were satisfied -yet not very satisfied- with home care services. More room for improvement seems to exist for the socio-economic and planning aspects of care and less for staff skills and attitudes and appropriateness of provided services. Conclusions The methods developed seem to be a

  3. Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma.

    Science.gov (United States)

    Kim, Eun Jeong; Kim, Sung Hun; Park, Ga Eun; Kang, Bong Joo; Song, Byung Joo; Kim, Yun Ju; Lee, Dongeon; Ahn, Hyunsoo; Kim, Inah; Son, Yo Han; Grimm, Robert

    2015-12-01

    To evaluate apparent diffusion coefficient (ADC) histogram parameters that show correlations with prognostic factors and subtypes of breast cancer. At 3.0T, various ADC histogram parameters were calculated including the entire tumor volume in 173 invasive ductal carcinomas: the minimum, 10th percentile, mean, median, 90th percentile, and maximum. ADC parameters were correlated with prognostic factors and subtype. The mean ADCmedian value was significantly higher in the group with lymph node metastasis, HER2 positivity, and a Ki-67 value correlation between ADCmedian and tumor size, histologic grade, estrogen receptor expression, and progesterone receptor expression (P = 0.272, 0.113, 0.261, and 0.181, respectively). For most ADC parameters except for ADCmin , the mean of variable ADC parameters of HER2-positive, luminal A, luminal B-HER2(+), triple-negative, and luminal B-HER2(-) diseases were arranged in descending order (1.175, 0.936, 0.863, 0.811, and 0.665 × 10(-3) mm(2) /s in ADCmedian , respectively) with statistical significant difference (P coefficient = -0.317). Various ADC parameters were correlated with prognostic factors and subtype, except for ADCmin . HER2 positivity showed high ADC values and high Ki-67 index revealed low ADC values. © 2015 Wiley Periodicals, Inc.

  4. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.;

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corr......This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  5. Correlative factors of cognitive impairment in patients with lacunar infarcts

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiujuan; Yao Xiaoxin; Guo Youmin; Zhang Gejuan; Yang Junle

    2007-01-01

    Objective To study the relationships between cognitive impairment in patients with lacunar infarcts and quantitative CT measures and to determine the independent correlative factors of cognitive impairment. Methods Neuropsychological examination was conducted for 128 patients with acute lacunar infarct. Number, location, and volume of infarcts, cerebral atrophy index and severity of white matter lesions (WMLs) were measured and recorded. Results The number of lacunar infarcts in cognitive impairment (CI) group was significantly larger than that in cognitive normal (CN) group. Mean width of sulcus and sylvian fissure, index of frontal horn and ventricular-brain ratio (VBR) were significantly different in both groups. There were more patients with 3 grades or 4 grades WMLs in CI group (62%) than those in CN group (22%). The total volume of lacunar infarcts showed no statistically significant difference. Logistic regression analysis indicated that the number of lacunar infarcts in frontal subcortex and thalamus, the volume of infarcts in anterior periventricular white matter, width of cerebral sulcus and sylvian fissure were correlated with cognitive impairment respectively. Additionally, age and education were correlative factors of cognitive impairment in patients with lacunar infarct. Conclusion Correlative factors of cognitive impairment in patients with lacunar infarct are not merely one feature, but a combination of infarct features (number, location, and volume), cortical atrophy and host factors (age and education).

  6. 影响产后出血危险因素的分析%Correlation analysis of risk factors of postpartum hemorrhage

    Institute of Scientific and Technical Information of China (English)

    孙炯; 杨兰; 陈茜茜

    2014-01-01

    Objective To explore the risk factors of maternal postpartum hemorrhage and conduct correlation analysis .Methods From March 2012 to March 2014 1 000 pregnant women going to delivery in obstetric department of People ’ s Hospital of Tinghu District in Yancheng City were collected.Prospective observation period began one month before childbirth and ended at 24h after childbirth. Postpartum blood loss and possible risk factors were observed and Logistic analysis was conducted .Results Among 1 000 cases recruited , 12 withdrew and 8 exited because of unexpected illness or accident during the production .Totally 980 cases were in the study at the end of follow-up.There were 60 cases of postpartum hemorrhage within 24h after childbirth (6.12%), including 27 cases with blood loss of 500-1 000mL (45.00%), 24 cases with blood loss of >1 000-1 500mL (40.00%) and 9 cases with blood loss of more than 1 500mL (15.00%).Of 321 cases of cesarean section 42 cases suffered postpartum hemorrhage (13.08%) and 18 of 659 cases of natural childbirth suffered postpartum hemorrhage (2.73%).There were 43 cases of uterine inertia (4.38%), 30 cases with placental factors (3.06%), 20 cases with soft birth canal laceration (2.04%) and 10 cases of coagulopathy (1.02%).Multiple Logistic regression analysis showed that the possibility of postpartum hemorrhage of patients with uterine atony , placental factors , soft birth canal laceration , coagulation disorders , thrombocytopenia , placenta previa was 3.252 times, 2.344 times, 1.289 times, 0.233 times, 5.411 times and 2.456 times, respectively, of that of coagulation disorders.Conclusion Uterine atony, placental factors, soft birth canal laceration, coagulation disorders , number of childbirth , thrombocytopenia and placenta previa are major risk factors of postpartum hemorrhage , so they should be prevented in clinics .%目的:探讨孕妇产后出血的危险因素,并且进行相关性分析。方法收集盐

  7. Correlation Analysis and Factor Analysis of Traits of Peanut Interplanted with Different Fruit Trees%不同类型果林间套播花生性状的相关分析和因子分析

    Institute of Scientific and Technical Information of China (English)

    于伯成; 张智猛; 刘恒德; 李荣莲; 肖英

    2014-01-01

    Correlation analysis and factor analysis of 6 traits of peanut were conducted to investi-gate the relationship and the difference of the relationship in the traits by using the datum gotten from test which the peanut Huayu31 variety was interplanted with 4 different types of fruit trees.Factor structures of traits and relationship of the main loading traits in different factors was also studied in this paper.Meanwhile, effect of peanut interplanted with 4 different types of fruit trees was evalua-ted.The results of the experiment showed that the yield of peanut interplanted with 3 years date tree was the highest and the yield with 7 years date trees was the second.The results of correlation analy-sis and factor analysis of 6 traits indicated that the relationship and the factor structures of traits were changed when peanut interplanted with different fruit trees.The relationship of the main loading traits in different factors changed too accordingly.%通过花生品种花育31号在新疆和田地区农科所4种果林间的套播栽培试验,对调查的6个性状的数据利用 DPS 软件进行相关分析和因子分析,探讨在不同果林中套播花生性状间的相互关系及其差异,并对性状因子结构和因子中主要载荷性状间的关系进行分析,评价在不同果林间花生套播种植的效果。结果表明,在4种果林中套播种植花生时,以在3年生红枣林中产量最高,效益最好;在7年生红枣林中产量位列第二;对6个性状的相关分析和因子分析结果表明,在相应的4个类型的果林中套播种植花生时,不同果林中的花生性状之间的相关关系、性状的因子结构和因子内主要载荷性状间的关系均发生了较大变化。

  8. 慢性肾衰竭与骨质疏松的相关因素分析%Analysis of correlation factors between chronic renal failure and osteoporosis

    Institute of Scientific and Technical Information of China (English)

    李桂英; 肖太玲; 秦燕

    2011-01-01

    Objective To study the osteoporosis condition of patients with middle and advanced stages of chronic renal failure, and to explore the correlation between osteoporosis and age, gender, body mass index,chronic renal failure, and the clinical manifestations.Methods 1 ) Dual energy X-ray absorptiometry was used to measure the bone mineral density (BMD) of the lumbar vertebra ( L1-L4), the femoral neck,Ward's triangle, and the femoral trochanter in 134 patients with chronic renal failure and in 154 controls.The case-control analysis was used to show the effect of chronic renal failure on the incidence of osteoporosis.2) Logistic multiple regression analysis was used to analyze the contributions of chronic renal failure, age,gender, and body mass index to the incidence of osteoporosis.Results 1) The incidence of osteoporosis in patients with chronic renal failure (85.3%) was significantly higher than in controls (41.2%),respectively; 2) By stage observation of chronic kidney disease (CKD) , the incidence of osteoporosis was positively correlated with the extent of renal failure ( P < 0.01 ) in the patients with stages 3,4, and 5 CKD;3 ) Osteoporosis was positively correlated with age and chronic renal failure, negative correlated with body mass index.The influence of chronic renal failure, gender, age, and body mass index to osteoporosis was statistically significant; 4) The occurrence of osteoporosis and bone loss in the femoral neck, Ward's triangle, and the femoral trochanter were higher than those in the lumbar vertebra (P < 0.01 ).Conclusion Chronic renal failure is an important predisposing factor of osteoporosis.The Ward's triangle can be used as the first detecting location for early diagnosis of osteoporosis.%目的 研究慢性肾衰竭中晚期患者骨质疏松情况,探讨骨质疏松与年龄、体重指数、性别及慢性肾衰竭的相关性及骨质疏松表现.方法 ①采用双能X线骨密度仪测定腰椎正位(L1~L4)和股骨颈

  9. Analysis of Negative Correlation Learning

    Institute of Scientific and Technical Information of China (English)

    Liu Yong; Zou Xiu-fen

    2003-01-01

    This paper describes negative correlation learning for designing neural network ensembles. Negative correlation learning has been firstly analysed in terms of minimising mutual information on a regression task. By ninimising the mutual information between variables extracted by two neural networks, they are forced to convey different information about some features of their input. Based on the decision boundaries and correct response sets, negative correlation learning has been further studied on two pattern classification problems. The purpose of examining the decision boundaries and the correct response sets is not only to illustrate the learning behavior of negative correlation learning, but also to cast light on how to design more effective neural network ensembles. The experimental results showed the decision boundary of the trained neural network ensemble by negative correlation learning is almost as good as the optimum decision boundary.

  10. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  11. Macroeconomic Factors and the Correlation of Stock and Bond Returns

    OpenAIRE

    Lingfeng Li

    2003-01-01

    This paper examines the correlation between stock and bond returns. It first documents that the major trends in stock-bond correlation for G7 countries follow a similar reverting pattern in the past forty years. Next, an asset pricing model is employed to show that the correlation of stock and bond returns can be explained by their common exposure to macroeconomic factors. The link between the stock-bond correlation and macroeconomic factors is examined using three successively more realistic...

  12. Design of exchange-correlation functionals through the correlation factor approach

    Energy Technology Data Exchange (ETDEWEB)

    Pavlíková Přecechtělová, Jana, E-mail: j.precechtelova@gmail.com, E-mail: Matthias.Ernzerhof@UMontreal.ca [Département de Chimie, Université de Montréal, C.P. 6128 Succursale A, Montréal, Québec H3C 3J7 (Canada); Institut für Chemie, Theoretische Chemie / Quantenchemie, Sekr. C7, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin (Germany); Bahmann, Hilke; Kaupp, Martin [Institut für Chemie, Theoretische Chemie / Quantenchemie, Sekr. C7, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin (Germany); Ernzerhof, Matthias, E-mail: j.precechtelova@gmail.com, E-mail: Matthias.Ernzerhof@UMontreal.ca [Département de Chimie, Université de Montréal, C.P. 6128 Succursale A, Montréal, Québec H3C 3J7 (Canada)

    2015-10-14

    The correlation factor model is developed in which the spherically averaged exchange-correlation hole of Kohn-Sham theory is factorized into an exchange hole model and a correlation factor. The exchange hole model reproduces the exact exchange energy per particle. The correlation factor is constructed in such a manner that the exchange-correlation energy correctly reduces to exact exchange in the high density and rapidly varying limits. Four different correlation factor models are presented which satisfy varying sets of physical constraints. Three models are free from empirical adjustments to experimental data, while one correlation factor model draws on one empirical parameter. The correlation factor models are derived in detail and the resulting exchange-correlation holes are analyzed. Furthermore, the exchange-correlation energies obtained from the correlation factor models are employed to calculate total energies, atomization energies, and barrier heights. It is shown that accurate, non-empirical functionals can be constructed building on exact exchange. Avenues for further improvements are outlined as well.

  13. 基于相关分析法的农户贷款信用影响因素分析%Analysis of the Factors Affecting Farmers' Credit based on the Correlation Analysis Method

    Institute of Scientific and Technical Information of China (English)

    夏萌; 赵邦宏; 王俊芹

    2015-01-01

    农户贷款违约风险较大,使农村金融机构"惜贷"现象严重.文章基于对河北省农村信用社的调查,将从信用社贷款的农户按是否违约分为两类,用相关分析法分析影响农户贷款信用的主要影响因素.研究结果显示,农户的受教育程度,农户的家庭劳动力数量,农户的经营状况,农户信誉状况等对农户贷款是否违约有较大影响,是影响农户贷款信用的重要因素.%Farmers'loan default risk, make the rural financial institutions"credit crunch"phenomenon is serious. Based on the survey of rural credit cooperatives in Hebei Province, the loans from credit cooperatives farmers according to whether the breach of contract is divided into two categories, analysis of main factors affecting the farmers' credit by correlation anal-ysis method. The results showed that, education of farmers, the number of family labor, operating conditions of households, household credit status of farmers loan defaults have great influence, is an important factor affecting the farmers' credit.

  14. Spectral analysis by correlation; Analyse spectrale par correlation

    Energy Technology Data Exchange (ETDEWEB)

    Fauque, J.M.; Berthier, D.; Max, J.; Bonnet, G. [Commissariat a l' Energie Atomique, Grenoble (France). Centre d' Etudes Nucleaires

    1969-07-01

    The spectral density of a signal, which represents its power distribution along the frequency axis, is a function which is of great importance, finding many uses in all fields concerned with the processing of the signal (process identification, vibrational analysis, etc...). Amongst all the possible methods for calculating this function, the correlation method (correlation function calculation + Fourier transformation) is the most promising, mainly because of its simplicity and of the results it yields. The study carried out here will lead to the construction of an apparatus which, coupled with a correlator, will constitute a set of equipment for spectral analysis in real time covering the frequency range 0 to 5 MHz. (author) [French] La densite spectrale d'un signal qui represente la repartition de sa puissance sur l'axe des frequences est une fonction de premiere importance, constamment utilisee dans tout ce qui touche le traitement du signal (identification de processus, analyse de vibrations, etc...). Parmi toutes les methodes possibles de calcul de cette fonction, la methode par correlation (calcul de la fonction de correlation + transformation de Fourier) est tres seduisante par sa simplicite et ses performances. L'etude qui est faite ici va deboucher sur la realisation d'un appareil qui, couple a un correlateur, constituera un ensemble d'analyse spectrale en temps reel couvrant la gamme de frequence 0 a 5 MHz. (auteur)

  15. 68例早产危险因素的相关分析%Correlation analysis of 68 cases of preterm birth risk factors

    Institute of Scientific and Technical Information of China (English)

    陈燕梅

    2015-01-01

    目的:调查早产儿的临床资料,探究早产的原因和影响早产儿的相关因素。方法选取68例早产儿及其母亲作为调查对象,找出影响的相关因素。结果主要的早产因素是胎膜早破,另外还有产妇异常妊娠生育史、妊娠期所患疾病、胎盘、羊水、多胎、脐带因素。28-31+6周出生的早产儿出现窒息的发生率明显高于32-36+6周的婴儿。孕周越大,体重越大的早产儿转归越好。结论早产是由多种因素共同作用导致的,孕周、出生体重和转归有相关性。%Objective To investigate the clinical data in preterm children,and explore the reasons for preterm birth and associated factors of preterm children.Methods 68 cases of preterm children and their mothers as a survey to identify the relevant factors affecting.Results The main factor is premature rupture of membranes,in addition to abnormal pregnancy maternal reproductive history,the illness during pregnancy, the placenta,amniotic fluid,multiple births,the umbilical cord factor.28-31+6 weeks premature child birth asphyxia incidence was significantly higher than 32-36+6 weeks of the baby.The larger gestational age,the greater the weight premature children,the better the outcome.Conclusion Preterm birth is a common effect caused by a variety of factors,gestational age,birth weight and outcomes correlated.

  16. Nucleosome Presence at AML-1 Binding Sites Inversely Correlates with Ly49 Expression: Revelations from an Informatics Analysis of Nucleosomes and Immune Cell Transcription Factors.

    Science.gov (United States)

    Wight, Andrew; Yang, Doo; Ioshikhes, Ilya; Makrigiannis, Andrew P

    2016-04-01

    Beyond its role in genomic organization and compaction, the nucleosome is believed to participate in the regulation of gene transcription. Here, we report a computational method to evaluate the nucleosome sensitivity for a transcription factor over a given stretch of the genome. Sensitive factors are predicted to be those with binding sites preferentially contained within nucleosome boundaries and lacking 10 bp periodicity. Based on these criteria, the Acute Myeloid Leukemia-1a (AML-1a) transcription factor, a regulator of immune gene expression, was identified as potentially sensitive to nucleosomal regulation within the mouse Ly49 gene family. This result was confirmed in RMA, a cell line with natural expression of Ly49, using MNase-Seq to generate a nucleosome map of chromosome 6, where the Ly49 gene family is located. Analysis of this map revealed a specific depletion of nucleosomes at AML-1a binding sites in the expressed Ly49A when compared to the other, silent Ly49 genes. Our data suggest that nucleosome-based regulation contributes to the expression of Ly49 genes, and we propose that this method of predicting nucleosome sensitivity could aid in dissecting the regulatory role of nucleosomes in general.

  17. Factor Analysis and AIC.

    Science.gov (United States)

    Akaike, Hirotugu

    1987-01-01

    The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)

  18. The factor structures and correlates of PTSD in post-conflict Timor-Leste: an analysis of the Harvard Trauma Questionnaire.

    Science.gov (United States)

    Tay, Alvin Kuowei; Mohsin, Mohammed; Rees, Susan; Steel, Zachary; Tam, Natalino; Soares, Zelia; Baker, Jessica; Silove, Derrick

    2017-05-22

    Post-traumatic stress disorder (PTSD) is the most widely assessed form of mental distress in cross-cultural studies conducted amongst populations exposed to mass conflict and displacement. Nevertheless, there have been longstanding concerns about the universality of PTSD as a diagnostic category when applied across cultures. One approach to examining this question is to assess whether the same factor structure can be identified in culturally diverse populations as has been described in populations of western societies. We examine this issue based on an analysis of the Harvard Trauma Questionnaire (HTQ) completed by a large community sample in conflict-affected Timor-Leste. Culturally adapted measures were applied to assess exposure to conflict-related traumatic events (TEs), ongoing adversities, symptoms of PTSD and psychological distress, and functional impairment amongst a large population sample (n = 2964, response rate: 82.4%) in post-conflict Timor-Leste. Confirmatory factor analyses of the ICD-10, ICD-11, DSM-IV, four-factor Emotional Numbing and five-factor Dysphoric-Arousal PTSD structures, found considerable support for all these models. Based on these classifications, concurrent validity was indicated by logistic regression analyses which showed that being a woman, trauma exposure, ongoing adversity, severe distress, and functional impairment were all associated with PTSD. Although symptom prevalence estimates varied widely based on different classifications, our study found a general agreement in PTSD assignments across contemporary diagnostic systems in a large conflict-affected population in Timor-Leste. Further studies are needed, however, to establish the construct and concurrent validity of PTSD in other cultures.

  19. AN IMPROVED ALGORITHM FOR DPIV CORRELATION ANALYSIS

    Institute of Scientific and Technical Information of China (English)

    WU Long-hua

    2007-01-01

    In a Digital Particle Image Velocimetry (DPIV) system, the correlation of digital images is normally used to acquire the displacement information of particles and give estimates of the flow field. The accuracy and robustness of the correlation algorithm directly affect the validity of the analysis result. In this article, an improved algorithm for the correlation analysis was proposed which could be used to optimize the selection/determination of the correlation window, analysis area and search path. This algorithm not only reduces largely the amount of calculation, but also improves effectively the accuracy and reliability of the correlation analysis. The algorithm was demonstrated to be accurate and efficient in the measurement of the velocity field in a flocculation pool.

  20. The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels

    Directory of Open Access Journals (Sweden)

    Sabrina Menezes

    Full Text Available The present article analyzes the relationship between characteristics of the journal Neotropical Ichthyology and its impact factor (IF between 2006 and 2011 using bibliometric descriptive quantitative methods. To perform this analysis, two samples of journals included in Journal Citation Reports (JCR were studied. One sample was composed of journals classified within the subject of zoology, and the other contained journals from different areas published in Brazil. The instrument used for data collection was a database created in Microsoft Excel 2007 and the Statistical Package for the Social Sciences (SPSS version 18. The results show that despite its short history, Neotropical Ichthyologyhas exhibited a distinctive impact, as manifested in a significant progression in the IF of this journal in the field of zoology during the investigated period.

  1. Detrended cross-correlation analysis of electroencephalogram

    Institute of Scientific and Technical Information of China (English)

    Wang Jun; Zhao Da-Qing

    2012-01-01

    In the paper we use detrended cross-correlation analysis (DCCA) to study the electroencephalograms of healthy young subjects and healthy old subjects.It is found that the cross-correlation between different leads of a healthy young subject is larger than that of a healthy old subject.It was shown that the cross-correlation relationship decreases with the aging process and the phenomenon can help to diagnose whether the subject's brain function is healthy or not.

  2. Analysis of Gray Correlative on the Factors of Kinesiology in Female Long-jump%女子跳远运动学因素的灰色关联分析

    Institute of Scientific and Technical Information of China (English)

    刘涛; 刘亮

    2012-01-01

    运用文献资料和灰色关联分析法,对世界优秀女子跳远运动员的运动学因素与专项成绩进行综合分析。得出世界优秀女子跳远运动员的运动学关联度,并进行排序分析,为我国优秀跳远运动员的训练提供理论参考。%By using the methods of literature and grey correlation analysis,a comprehensive analysis between the kinesiology and the Special Achievements of Top female long-Jump athletes in the world.And the correlation degree and the influence factors of the three length and the special achievement of world excellent female long-Jump.And the theoretical reference in the training of the worldwide excellent triple jump was provided.

  3. Correlation of Mechanical Factors and Gallbladder Pain

    Directory of Open Access Journals (Sweden)

    W. G. Li

    2008-01-01

    Full Text Available Acalculous biliary pain occurs in patients with no gallstones, but is similar to that experienced by patients with gallstones. Surgical removal of the gallbladder (GB in these patients is only successful in providing relief of symptoms to about half of those operated on, so a reliable pain-prediction model is needed. In this paper, a mechanical model is developed for the human biliary system during the emptying phase, based on a clinical test in which GB volume changes are measured in response to a standard stimulus and a recorded pain profile. The model can describe the bile emptying behaviour, the flow resistance in the biliary ducts, the peak total stress, including the passive and active stresses experienced by the GB during emptying. This model is used to explore the potential link between GB pain and mechanical factors. It is found that the peak total normal stress may be used as an effective pain indicator for GB pain. When this model is applied to clinical data of volume changes due to Cholecystokinin stimulation and pain from 37 patients, it shows a promising success rate of 88.2% in positive pain prediction.

  4. Demographic Correlates and Factor Structure of the Family Environment Scale.

    Science.gov (United States)

    Boake, Corwin; Salmon, Paul G.

    1983-01-01

    Factor analyzed the Family Environment Scale (FES) subscale scores of 204 families and correlated them with family demographic characteristics. The obtained factor structure showed two major factors similar to "control" and "acceptance-rejection" dimensions in previous research. Results support the FES as part of multimethod…

  5. Bibliometric analysis of anaesthesia journal editorial board members: correlation between journal impact factor and the median h-index of its board members.

    Science.gov (United States)

    Pagel, P S; Hudetz, J A

    2011-09-01

    h-index is useful for quantifying scholarly activity in medicine, but this statistic has not been extensively applied as a measure of productivity in anaesthesia. We conducted a bibliometric analysis of h-index in editorial board members and tested the hypothesis that editorial board members of anaesthesia journals with higher impact factors (IFs) have higher h-indices. Ten of 19 journals with 2009 IF>1 were randomly chosen from Journal Citation Reports(®). Board members were identified using each journal's website. Publications, citations, citations per publication, and h-index for each member were obtained using Scopus(®). Four hundred and twenty-three individuals filled 481 anaesthesia editorial board positions. The median h-index of all editorial board members was 14. Board members published 75 papers (median) with 1006 citations and 13 citations per publication. Members serving on journals with IF greater than median had significantly (Peditorial board members and its IF (h-index=3.01×IF+6.85; r( 2)=0.452; P=0.033) was observed for the 10 journals examined. Board members of subspeciality-specific journals had bibliometric indices that were less than those at general journals. The h-index was greater in individuals serving more than one journal. European editorial board members had higher h-index values than their American colleagues. The results suggest that editorial board members of anaesthesia journals with higher IFs have higher h-indices.

  6. Regularized canonical correlation analysis with unlabeled data

    Institute of Scientific and Technical Information of China (English)

    Xi-chuan ZHOU; Hai-bin SHEN

    2009-01-01

    In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great portion of data that we do not know which set it belongs to. This part of data is called unlabeled data, while the rest from definite datasets is called labeled data. We propose a novel method called regularized canonical correlation analysis (RCCA), which makes use of both labeled and unlabeled samples. Specifically, we learn to approximate canonical correlation as if all data were labeled. Then. we describe a generalization of RCCA for the multi-set situation. Experiments on four real world datasets, Yeast, Cloud, Iris, and Haberman, demonstrate that,by incorporating the unlabeled data points, the accuracy of correlation coefficients can be improved by over 30%.

  7. 先天性泪囊炎30例相关因素的分析%Analysis of correlative factors of congenital dacryocystitis

    Institute of Scientific and Technical Information of China (English)

    乔芳; 傅培; 伍友春; 陈宏杰

    2011-01-01

    Objective To analyze the etiology, influencing factors and treatment stratgies of congenital dacryocystitis. Methods Observation group: clinical data from 30 patients diagnosed with congenital dacryocystitis were collected and retrospectively analyzed, the secretion from lacrimal sac underwent bacterial cultivation and we observed the treatment effect after probing lacrimal passages. Control group:30 cases from Prevention &Health Care Section were randomly chosen. We assessed the influencing factors including gender, delivery pattern, birth weight and pregnancy period in correlation with the disease. Results The age of onset range from 1 ~ 5 days in 90% of the patients in the observation group. There are no significant differences in gender,delivery pattern,birth weight and pregnancy period ( P > 0.05 ) , whereas the curative rate of probing was significant ( P < 0. 05 ). 99 strains of 8 different pathogenic bacteria were isolated from the 30 sercertion samples. Conclusions We found that the age of onset of the congenital dacryocystitis range from 1 to 5 days, which is earlier than previous papers. There is no statistical significance. Gender, age, delivery pattern, birth weight and pregnancy period have no statistical significance. Various of pathogenic bateria were cultured from the pyogenic secretion , probing should be applied in the early stage of congenital dacryocystitis.%目的 探讨分析先天性泪囊炎的病源学、影响因素及治疗方法.方法 统计分析30例先天性泪囊炎患儿的基本资料,设为观察组.并进行泪囊分泌物细菌培养、观察泪道治疗效果.随机从预防保健科抽取30例设为对照组,对比观察性另、生产方式、出生体重、妊娠时间对发病有无影响.结果 发病年龄在出生后1~5d的占90%.患儿性别、生产方式、出生体重、妊娠时间行x2检验P>0.05,探通成功率行X2检验P<0.05.30例先天性泪囊炎患者培养出8种病原菌共99株.结论 先天性

  8. Correlation Analysis of Two Hydrochemical Factors Affecting the Distribution of Ceratopteris thalictroides in China%影响水蕨分布的两个水化学因子相关性分析

    Institute of Scientific and Technical Information of China (English)

    董元火; 吴翠

    2009-01-01

    [Objective] This study was to analyze the two hydrochemical factors affecting the distribution of Ceratopteris thalictroides, further to provide basis for its habitat protection and population restoration. [Method] Twenty two hydrochemical parameters of 22 sampling sites in Chinas tropical and subtropical zones were respectively averaged for calculating their variation coefficients, of which the two showing significant differences were used for multiple comparisons and correlation analyses via least significant difference and correlation coefficient. [Result] The correlation coefficients of all the 22 tested hydrochemical parameters varied hugely, but only pH value and conductivity showed significantly differences in two water body (type A and type B). Analysis of correlation presented that pH value were positively correlated with conductivity; further the multiple comparisons showed that the significant difference of pH value was higher than that of conductivity. [Conclusion] With regard to the two hydrochemical parameters showing significant differences, pH value influences the distribution of C.thalictroides more.

  9. The Butterfly Effect: Correlations Between Modeling in Nuclear-Particle Physics and Socioeconomic Factors

    CERN Document Server

    Pia, Maria Grazia; Bell, Zane W.; Dressendorfer, Paul V.

    2010-01-01

    A scientometric analysis has been performed on selected physics journals to estimate the presence of simulation and modeling in physics literature in the past fifty years. Correlations between the observed trends and several social and economical factors have been evaluated.

  10. General correlation and partial correlation analysis in finding interactions: with Spearman rank correlation and proportion correlation as correlation measures

    OpenAIRE

    WenJun Zhang; Xin Li

    2015-01-01

    Between-taxon interactions can be detected by calculating the sampling data of taxon sample type. In present study, Spearman rank correlation and proportion correlation are chosen as the general correlation measures, and their partial correlations are calculated and compared. The results show that for Spearman rank correlation measure, in all predicted candidate direct interactions by partial correlation, about 16.77% (x, 0-45.4%) of them are not successfully detected by Spearman rank correla...

  11. 酒精依赖与MMPI相关因子分析%Correlation analysis of alcohol dependent patients and factors of clinical basical scale of MMPI

    Institute of Scientific and Technical Information of China (English)

    林永

    2014-01-01

    目的:探讨酒精依赖与明尼苏达多相人格测验( MMPI)临床基本量表各因子的相关性。方法研究组系2008年6月-2010年6月在临沂市精神卫生中心就诊的酒精依赖患者。采用MMPI计算机测试软件,对酒精依赖组(n=162)和正常对照组(n=99)进行测试,对两组MMPI的疑病、抑郁、癔症、人格偏离、男子气、偏执、精神衰弱、精神分裂、躁狂、社会内向10个因子标准分进行统计分析,并进行logistic回归分析。结果除男子气因子外,酒精依赖组MMPI临床基本量表各因子标准分均高于对照组(P<0.01);多因素logistic回归分析发现酒精依赖与抑郁、癔症呈正相关,与精神分裂呈负相关(P均<0.05) 。结论酒精依赖患者可能存在心理及躯体症状,尤其与抑郁、癔症关系密切。%Objective To discuss relationship between alcohol dependent patients and factors of clinical basical scale of MMPI. Methods The study group was 162 alcohol dependent patients for treatment in Linyi mental health center from 2008,6 to 2010,6. The control group was 99 physical examination men. The current adopted MMPI computer testing software and measured alcohol de-pendent patients and normal subjects to statistically analyze MMPI coarse marks of ten factors ,which included Hypochondriasis Depres-sion Hysteria Psychopathic deviate Masculinity-femininity Paranoia Psychasthenia Schizophrenia Hypomania and Social introversion ( Hs,D,Hy,Pd,Mf,Pa,Pt,Sc,Ma and Si) between the two groups,then did the logistic regression. Results In addition to male fac-tor,the coarse scores of nine factors in alcohol dependent groups were all significantly higher than those of compare groups (P<0. 01), and it was found that alcohol dependent was relative to Hy,D and Sc positively by logistic regression analysis. Conclusion Alcohol dependent patients probably have psychological and physical symptoms,especially Hysteria and Depression.

  12. Correlated Data Analysis Modeling, Analytics, and Applications

    CERN Document Server

    Song, Peter X-K

    2007-01-01

    Presents developments in correlated data analysis. This book provides a systematic treatment for the topic of estimating functions. In addition to marginal models and mixed-effects models, it covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series.

  13. Regularized Multiple-Set Canonical Correlation Analysis

    Science.gov (United States)

    Takane, Yoshio; Hwang, Heungsun; Abdi, Herve

    2008-01-01

    Multiple-set canonical correlation analysis (Generalized CANO or GCANO for short) is an important technique because it subsumes a number of interesting multivariate data analysis techniques as special cases. More recently, it has also been recognized as an important technique for integrating information from multiple sources. In this paper, we…

  14. Generalized canonical correlation analysis with missing values

    NARCIS (Netherlands)

    M. van de Velden (Michel); Y. Takane

    2009-01-01

    textabstractTwo new methods for dealing with missing values in generalized canonical correlation analysis are introduced. The first approach, which does not require iterations, is a generalization of the Test Equating method available for principal component analysis. In the second approach, missing

  15. Grey Correlation Analysis on Factors Affecting Chinese Farmers' Health Insurance Demands%中国农民健康保险需求影响因素的灰色关联分析

    Institute of Scientific and Technical Information of China (English)

    彭晓博; 孙祁祥

    2012-01-01

    Rural residents' medical expenditure will increase notably as the surge in the elderly population. There- fore it will lead to a heavy burden on government's budget if the increase in healthcare expenditure was solely born by the government. The authors suggested, as a consequence, the importance of developing a multi-pillar health insurance system ,which should include government subsidized health insurance as well as commercial health insurance, should be recognized. The authors analyzed three factors which were hypothesized to be correlated with farmers' healthcare demands ,which included economic factors ,healthcare resource factors as well as social and cultural factors. Using a number of variables measuringthe above three factors, the authors conducted a Grey Relation Analysis. The results showed that farmers' health insurance demand was significantly correlated with economic factors , as well as healthcare resource factor.%随着老年人口增多,农村医疗支出也会增加。未来若单靠政府投入势必会带来沉重的财政支出负担,长期将难以持续。基于这一背景,作者认为应当大力发展商业健康保险,培育市场,尽快建立起多支柱的医疗保障体系。本文从需求角度出发,认为影响农民健康保险需求的因素主要包括经济、卫生资源和社会文化等因素,并采用三因素中的代表性变量进行灰色关联分析,结果显示,卫生资源和支付能力与健康保险需求具有较强的灰色关联度。

  16. Refined Multifractal Cross-Correlation Analysis

    CERN Document Server

    Oświȩcimka, Paweł; Forczek, Marcin; Jadach, Stanisław; Kwapień, Jarosław

    2013-01-01

    We propose a modified algorithm - Multifractal Cross-Correlation Analysis (MFCCA) - that is able to consistently identify and quantify multifractal cross-correlations between two time series. Our motivation for introducing this algorithm is that the already existing methods like MF-DXA have serious limitations for most of the signals describing complex natural processes. The principal component of the related improvement is proper incorporation of the sign of fluctuations. We present a broad analysis of the model fractal stochastic processes as well as of the real-world signals and show that MFCCA is a robust tool and allows a reliable quantification of the cross-correlative structure of analyzed processes. We, in particular, analyze a relation between the generalized Hurst exponent and the MFCCA parameter $\\lambda_q$. This relation provides information about the character of potential multifractality in cross-correlations of the processes under study and thus enables selective insight into their dynamics. Us...

  17. Temporal Stability, Correlates, and Longitudinal Outcomes of Career Indecision Factors

    Science.gov (United States)

    Nauta, Margaret M.

    2012-01-01

    A confirmatory factor analysis (CFA) tested the fit of Kelly and Lee's six-factor model of career decision problems among 188 college students. The six-factor model did not fit the data well, but a five-factor (Lack of Information, Need for Information, Trait Indecision, Disagreement with Others, and Choice Anxiety) model did provide a good fit.…

  18. Analysis of Driving Factors of Grain Output in Henan Province Based on Grey Correlation Model%基于灰色关联模型的河南省粮食生产驱动力分析

    Institute of Scientific and Technical Information of China (English)

    贺振

    2009-01-01

    Henan Province is an important grain production base, whose stable production is related to the economic development and social stability significantly. To summarize the primary factors of grain producing, we used grey correlation analysis method to analyze 10 correlative factors such as grain yield, grain yield per unit area, effective irrigated area, rural employed persons, grain planting area, consumption of chemical fertilizer in 25 years. The results showed order of synthetic degree of incidence: effective irrigated area>rural electricity consumption>consumption of chemical fertilizer>disaster crop area>grain yield per unit of area>total power of agricultural machinery>afflicted crop area>grain planting area>number of the rural employed persons. Finally, according to synthetic degree of incidence between influential factors and total grain output respectively, a series of measures and the suggestions was proposed for grain production in Henan Province, which will also provide the scientific basis and help for the government correct decision-making.

  19. Data Analysis and Factors Correlation That Influences the Configuration of Urban Fabric in a Greek Middle Size City. The Case Study of Larissa

    OpenAIRE

    Kalliakoudas, Triantafyllos

    2006-01-01

    The planning of space is a political process. It is a form social and political action that determines the way and the place where we will live. But who are these factors that shape the form of the city? Who are the data that influence the configuration of urban fabric? In our suggestion we will try to record the data and the factors, as well as their role in the configuration of urban fabric of a Greek middle size city. As such are usually comprehended the cities with population between 100 ...

  20. Analysis of correlative factors and prevalence on China's youth myopia%我国青少年近视现患率及相关因素分析

    Institute of Scientific and Technical Information of China (English)

    谢红莉; 谢作揩; 叶景; 杨新军; 瞿佳

    2010-01-01

    Objective To understand and address our vision changes in primary and secondary students,in order to explore the prevention of juvenile myopia to provide a response and suggestions.Methods A random cluster sampling method,random sample of 90 rural and urban schools in Shandong,Qinghai,Yunnan,Shanghai and Wenzhou from May 2008 to September 2009,including 20 000 students(per province,4000×5)from elementary school and junior high school of focus and non-focus,primary 11 246,junior high school students 3673,high school 4220,of which 11 177 were from the urban students,rural students in 7962,aged 6 to 19 years old,male to female ratio is basically the same.For myopia and related survey.a total of 19,139 valid questionnaires were recovered.Using SPSS 13.0 software statistical analysis,different regions and different grades was used to compare the prevalence of myopia X~2 test.using Logistic regression analysis on the major risk factors for myopia.Results The survey are as follows,the prevalence of myopia in primary was 13.7%;the prevalence of myopia in junior high was 42.9%,the prevalence of myopia in high school was 69.7%.The highest rate of myopia prevalence of primarv school students in Shandong was 19.7%,the lowest was 11.9% in Qinghal,Shanghai,Wenzhou and Yunnan are similar;prevalence myopia of junior high in Wenzhou up to 50.6%,followed by Shanghai,and 47.2%,the lowest was 33.6%in Qinghai;the highest prevalence of myopia and high school students in Shandong,reaching 87.3%,followed by 72.0%in Wenzhou,and the lowest was 60.2% in Shanghai.Conclusion This survey shows that the prevalence of myopia of China's primary and secondary schools in coastal was higher than areas of mainland,in developed regions was higher than in less developed regions,and the plateau region and the strong ultraviolet light similar to the plain areas.Provincial prevalence of myopia increased from primary to high school continued the same trend.%目的 了解和阐述我国中小学生视力

  1. 行为形成因子与人为差错模式的定性关联分析%Qualitative Correlation Analysis between Performance Shaping Factors and Human Error Mode

    Institute of Scientific and Technical Information of China (English)

    李龙; 蒋英杰; 孙志强; 宫二玲; 谢红卫

    2012-01-01

    为揭示人为差错的发生规律以便有效管理人为差错,研究行为形成因子与人为差错模式间的对应关系.将行为形成因子作为情景环境的表征,在SRK( skill,rule,knowledge)模型的基础上,将认知功能的效能分为3种指标:全面性、准确性和效率,将认知功能与效能指标相结合得到人为差错模式的分类.在此基础上,根据经验详细分析行为形成因子对认知功能3种效能指标的影响,得到行为形成因子与人为差错模式的关联关系表格.该关联关系是定性的,包含密切关联、重要关联、一般关联和没有关联4种关联程度,不但可以用于人为差错事件的调查,而且可以用于人为差错模式的预测.%In order to disclose the law of human error and control it effectively, the correlation between performance shaping factor and human error mode is researched. Performance shaping factor is introduced to represent the scenario. Based on the SRK model, the quality of cognitive function is divided into three performance indices, which are completeness, accuracy and efficiency. By synthesizing cognitive functions and performance indices, a new taxonomy for human error mode is provided. Based on it and according to experiences, the influences of performance shaping factor on the three performance indices of cognitive functions are analyzed in details, respectively, and the qualitative correlation between performance shaping factor and human error mode is constructed, which can be represented by a table. The correlation degrees in the table include "extreme" , "important" , "general" and "void". With the help of the correlation table , not only the retrospective analysis of human error but also the prospective analysis can be conducted.

  2. Factors that influence disease-specific quality of life or health status in patients with COPD : a systematic review and meta-analysis of Pearson correlations

    NARCIS (Netherlands)

    Tsiligianni, Ioanna; Kocks, Janwillem; Tzanakis, Nikolaos; Siafakas, Nikolaos; van der Molen, Thys

    Background: A major goal in the management of chronic obstructive pulmonary disease (COPD) is to ensure that the burden of the disease for patients with COPD is limited and that patients will have the best possible quality of life. Aims: To explore all the possible factors that could influence

  3. Correlation Analysis Between Expression Levels of Hepatic Growth Hormone Receptor, Janus Kinase 2, Insulin-Like Growth Factor-I Genes and Dwarfism Phenotype in Bama Minipig.

    Science.gov (United States)

    Yang, Haowen; Jiang, Qinyang; Wu, Dan; Lan, Ganqiu; Fan, Jing; Guo, Yafen; Chen, Baojian; Yang, Xiurong; Jiang, Hesheng

    2015-02-01

    Animal growth and development are complex and sophisticated biological metabolic processes, in which genes plays an important role. In this paper, we employed real-time quantitative PCR (RT-qPCR) to analyze the expression levels of hepatic GHR, JAK2 and IGF-I genes in 1, 30, 180 day of Bama minipig and Landrace with attempt to verify the correlation between the expression of these growth-associated genes and the dwarfism phenotype of Bama minipig. The results showed that the expression levels of these 3 genes in Bama minipigs were down-regulated expressed from 1 day to 30 day, and which was up-regulated expressed in Landrace. The expression levels of the 3 genes on 1, 30, 180 day were prominently higher in Landrace than in Bama minipigs. The significant differences of the 3 genes expression levels on 1 day between this two breeds indicate that different expressions of these genes might occur before birth. It is speculated that the down-regulated expression of the 3 genes may have a close correlation with the dwarfism phenotype of Bama minipig. More investigations in depth of this study is under progress with the help of biochip nanotechnology.

  4. Nerve Growth Factor, Brain-derived Neurotrophic Factor and Osteocalcin gene relationship in energy regulation, bone homeostasis and reproductive organs analyzed by mRNA quantitative evaluation and linear correlation analysis

    Directory of Open Access Journals (Sweden)

    Claudia Camerino

    2016-10-01

    Full Text Available Nerve Growth Factor (NGF / Brain-derived Neurotrophic Factor (BDNF and osteocalcin share common effects regulating energy, bone mass, reproduction and neuronal functions. To investigate on the gene-relationship between NGF, BDNF and Osteocalcin we compared by RT-PCR the transcript levels of Ngf, Bdnf and Osteocalcin as well as of their receptors p75NTR/NTRK1, NTRK2 and Gprc6a in brain, bone, white/brown adipose tissue (WAT/BAT and reproductive organs of 3 months old female and male mice. Brain and bone were used as positive controls for NGF/BDNF and Osteocalcin respectively. The role of oxitocin(Oxt and its receptor(Oxtr was also investigated. Ngf expression shows an opposite trend compared to Bdnf. Ngf/p75NTR expression is 50% higher in BAT than brain, in both genders, but lower in bone. In contrast, Bdnf expression in bone is higher than in brain, but low in BAT/WAT. We found Osteocalcin gene expressed in brain in both genders, but Gprc6a expression is low in brain and BAT/WAT. As expected, Gprc6a gene is expressed in bone. Oxt gene was markedly expressed in brain, Oxtr in the ovaries and in fat and bone in both genders. Ngf is highly expressed in reproductive tissues and p75NTR mRNA levels are respectively 300%, 100% and 50% higher in testis/ovaries/uterus than in brain. In contrast, BDNF genes are not expressed in reproductive tissues. As expected, Gprc6a is expressed in testis but not in the ovaries/uterus. A significant correlation was found between the expression levels of the gene ligands and their receptors in brain, BAT and testis suggesting a common pathway of different genes in these tissues in either male and female. Changes in the expression levels of osteocalcin, Ngf or Bdnf genes may mutually affect the expression levels of the others. Moreover, it may be possible that different ligands may operate through different receptor subtypes. Oxt and Oxtr failed to show significant correlation. The up-regulation of Ngf/p75NTR in BAT is

  5. Nerve Growth Factor, Brain-Derived Neurotrophic Factor and Osteocalcin Gene Relationship in Energy Regulation, Bone Homeostasis and Reproductive Organs Analyzed by mRNA Quantitative Evaluation and Linear Correlation Analysis

    Science.gov (United States)

    Camerino, Claudia; Conte, Elena; Cannone, Maria; Caloiero, Roberta; Fonzino, Adriano; Tricarico, Domenico

    2016-01-01

    Nerve Growth Factor (NGF)/Brain-derived Neurotrophic Factor (BDNF) and osteocalcin share common effects regulating energy, bone mass, reproduction and neuronal functions. To investigate on the gene-relationship between NGF, BDNF, and Osteocalcin we compared by RT-PCR the transcript levels of Ngf, Bdnf and Osteocalcin as well as of their receptors p75NTR/NTRK1, NTRK2, and Gprc6a in brain, bone, white/brown adipose tissue (WAT/BAT) and reproductive organs of 3 months old female and male mice. Brain and bone were used as positive controls for NGF/BDNF and Osteocalcin respectively. The role of oxitocin(Oxt) and its receptor(Oxtr) was also investigated. Ngf expression shows an opposite trend compared to Bdnf. Ngf /p75NTR expression is 50% higher in BAT than brain, in both genders, but lower in bone. In contrast, Bdnf expression in bone is higher than in brain, but low in BAT/WAT. We found Osteocalcin gene expressed in brain in both genders, but Gprc6a expression is low in brain and BAT/WAT. As expected, Gprc6a gene is expressed in bone. Oxt gene was markedly expressed in brain, Oxtr in the ovaries and in fat and bone in both genders. Ngf is highly expressed in reproductive tissues and p75NTR mRNA levels are respectively 300, 100, and 50% higher in testis/ovaries/uterus than in brain. In contrast, BDNF genes are not expressed in reproductive tissues. As expected, Gprc6a is expressed in testis but not in the ovaries/uterus. A significant correlation was found between the expression levels of the gene ligands and their receptors in brain, BAT and testis suggesting a common pathway of different genes in these tissues in either male and female. Changes in the expression levels of osteocalcin, Ngf, or Bdnf genes may mutually affect the expression levels of the others. Moreover, it may be possible that different ligands may operate through different receptor subtypes. Oxt and Oxtr failed to show significant correlation. The up-regulation of Ngf /p75NTR in BAT is consistent

  6. Nerve Growth Factor, Brain-Derived Neurotrophic Factor and Osteocalcin Gene Relationship in Energy Regulation, Bone Homeostasis and Reproductive Organs Analyzed by mRNA Quantitative Evaluation and Linear Correlation Analysis.

    Science.gov (United States)

    Camerino, Claudia; Conte, Elena; Cannone, Maria; Caloiero, Roberta; Fonzino, Adriano; Tricarico, Domenico

    2016-01-01

    Nerve Growth Factor (NGF)/Brain-derived Neurotrophic Factor (BDNF) and osteocalcin share common effects regulating energy, bone mass, reproduction and neuronal functions. To investigate on the gene-relationship between NGF, BDNF, and Osteocalcin we compared by RT-PCR the transcript levels of Ngf, Bdnf and Osteocalcin as well as of their receptors p75NTR/NTRK1, NTRK2, and Gprc6a in brain, bone, white/brown adipose tissue (WAT/BAT) and reproductive organs of 3 months old female and male mice. Brain and bone were used as positive controls for NGF/BDNF and Osteocalcin respectively. The role of oxitocin(Oxt) and its receptor(Oxtr) was also investigated. Ngf expression shows an opposite trend compared to Bdnf. Ngf /p75NTR expression is 50% higher in BAT than brain, in both genders, but lower in bone. In contrast, Bdnf expression in bone is higher than in brain, but low in BAT/WAT. We found Osteocalcin gene expressed in brain in both genders, but Gprc6a expression is low in brain and BAT/WAT. As expected, Gprc6a gene is expressed in bone. Oxt gene was markedly expressed in brain, Oxtr in the ovaries and in fat and bone in both genders. Ngf is highly expressed in reproductive tissues and p75NTR mRNA levels are respectively 300, 100, and 50% higher in testis/ovaries/uterus than in brain. In contrast, BDNF genes are not expressed in reproductive tissues. As expected, Gprc6a is expressed in testis but not in the ovaries/uterus. A significant correlation was found between the expression levels of the gene ligands and their receptors in brain, BAT and testis suggesting a common pathway of different genes in these tissues in either male and female. Changes in the expression levels of osteocalcin, Ngf, or Bdnf genes may mutually affect the expression levels of the others. Moreover, it may be possible that different ligands may operate through different receptor subtypes. Oxt and Oxtr failed to show significant correlation. The up-regulation of Ngf /p75NTR in BAT is consistent

  7. 我国林业经济增长影响因素的灰色关联度分析%Grey Correlation Analysis of the Influence Factors of Forestry Economic Growth in China

    Institute of Scientific and Technical Information of China (English)

    郑悦; 刘通; 史常亮

    2011-01-01

    采用灰色关联度分析法,通过对我国1994-2009年林业经济增长的各影响因素的灰色关联分析及其贡献率比较,结果表明:中国林业经济增长主要受营林固定资产投资、营林基本建设投资和在岗职工年均工资以及林业从业人员人数等投入因素的影响,但各投入因素对林业第一、二、三产业的影响程度存在差异。为此,必须结合各投入因素对第一、二、三产业发展的影响大小,合理分配各投入要素在三次产业之间的比例。%By means of grey correlation analysis, the paper made a comparison between the grey correlation analysis of the influence factors of forestry economic growth and their contribution rates from 1994 to 2009. The result indicates that, the forestry economic growth is mainly affected by the forestry fixed assets investment, the forestry capital construction investment, and the average annual wage, as well as the number of forestry workers, but there are some differences on the impact of various influence factors among the forest Ⅰ,Ⅱ,Ⅲ industry. So, it is reasonable to apportion factor inputs of different industries according to their effects on the development of different industries.

  8. 小儿脑瘫危险因素与合并症相关分析%Correlation Analysis of Risk Factors and Complications on Children Cerebral Palsy

    Institute of Scientific and Technical Information of China (English)

    王军英; 伍俊妮; 张惠佳; 汤清波; 覃蓉; 颜华; 熊毛伟; 易慧娟; 肖曙光; 王跑球

    2011-01-01

    Objective To investigate the risk factors related with children cerebral palsy (CP), the complications and the constituent ratio of types of cerebral palsies.Methods Retrospectively study 1204 cases of affected children' s clinical data from January 2005 to December 2009, using the statistical method of chi-square criterion, the relationships of the high risk factors and the complications resulted in children cerebral palsies were investigated, and the relationships of the incidence rate of types of CP constituent ratio and the complications were studied as well.Results There presented risk factors of 1044 in 1204 cases (86.71%).The major risk factors by turns were asphyxiation, preterm low weight, other un-definite factors, choloplania, intrauterine infection, superfoetation/twins, intracranial hemorrhage and the abnormal umbilical core.The rate of the CP children accompanied with complications was 91.35% (1102/1204), the incidence rate with mental retardation was 72.09% (868 cases), with language disturbance 43.52% (524 cases), with epilepsy 22.26% (268 cases), with hearing disturbance 22.09% (266 cases), with ingestion difficulty 58.47% (702 cases),with optic atrophy 25.75 % (310 cases), with hydrostomia 75.91% (914 cases), and there were statistical differences among different types of CP (P< 0.05), the three highest incidence rates was spasmus, athetosis and nixed types of CP by turns.And there were significant difference in statistics ( P < 0.01 ).Conclusions The CP was a kind of sophisticated disorder resulted from the lesion of brain, the affected presented a series of developmental disturbance.During the treatment, we should be pay attention to the entire rehabilitation for affected children.%目的 分析小儿脑瘫危险因素、脑瘫分型与合并症相关性.方法 回顾性调查2005年1月-2009年12月期间的1 204例脑瘫患儿临床资料,了解脑瘫高危因素与合并症的关系以及与脑瘫分型的发生率,用

  9. Epidemiological survey analysis on correlated risk factors of the incidence of periodontal disease%影响牙周病发病的相关因素临床流行病学调查分析

    Institute of Scientific and Technical Information of China (English)

    孙维平

    2014-01-01

    目的:探讨影响牙周病发病的相关危险因素,为临床防治牙周病提供依据。方法采用回顾性病例对照法,分别收集145例牙周病患者和145例健康体检者的临床资料,采用单因素和多因素logistic回归分析法来筛选影响牙周病的相关危险因素。结果多因素分析结果显示糖尿病史(OR=4.362)、营养不良(OR=3.865)、不良口腔卫生习惯(OR=4.371)、牙结石(OR=5.743)、未定期口腔检查(OR=2.762)、缺少牙周病防治知识(OR=3.077)等因素为牙周病发病的危险因素。结论引起牙周病的病因和危险因素较为复杂,应针对各独立危险因素采取有效预防措施,从而降低牙周病的发生率。%Objective To explore correlated risk factors of the incidence of periodontal disease, and to provide preven-tion and treatment for periodontal disease. Methods With retrospective case-control study method, we respectively collected clinical data of 145 cases of periodontal disease and 145 cases of in health condition. Single factor and multiple factors logistic re-gression methods were chosen to screen correlated risk factors of periodontal disease. Results Multiple factor analysis result showed that the risk factors of periodontal disease included diabetes mellitus history (OR=4. 362), malnutrition (OR=3. 865), bad habit of oral hygiene (OR=4. 371), calculus dentalis (OR=5. 743), irregular oral examination (OR=2. 762) and lack of prevention and cure knowledge of periodontal disease (3. 077). Conclusion There are many causes and risk factors to evoke periodontal disease, so we should adopt effective prevention measures to aim directly at each independent risk factor, to cut down the incidence rate of periodontal disease.

  10. Multivariate Longitudinal Analysis with Bivariate Correlation Test.

    Science.gov (United States)

    Adjakossa, Eric Houngla; Sadissou, Ibrahim; Hounkonnou, Mahouton Norbert; Nuel, Gregory

    2016-01-01

    In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model's parameters estimators. These estimators can be used in the framework of the multivariate longitudinal data analysis as well as in the more general context of the analysis of multivariate multilevel data. By using a likelihood ratio test, we test the significance of the correlations between the random effects of two dependent variables of the model, in order to investigate whether or not it is useful to model these dependent variables jointly. Simulation studies are done to assess both the parameter recovery performance of the EM estimators and the power of the test. Using two empirical data sets which are of longitudinal multivariate type and multivariate multilevel type, respectively, the usefulness of the test is illustrated.

  11. Analysis of Correlated Risk Factors of Postpartum Hemorrhage after Cesarean Section%剖宫产产后出血相关危险因素分析

    Institute of Scientific and Technical Information of China (English)

    马春艺; 刘增佑; 张小平

    2015-01-01

    Objective To explore the risk factors of postpartum hemorrhage after cesarean section . Methods A total of 5210 cases of cesarean section from Shenzhen City Nanshan People′s Hospital from Jan.2011 to Dec.2013 were selected,including 89 cases of postpartum hemorrhage,which were assigned to case group,and another 89 cases without postpartum hemorrhage were assigned to control group.The risk fac-tors of postpartum hemorrhage were analyzed .Results The influencing factors of postpartum hemorrhage after cesarean section included in multiple pregnancy(OR=2.568,95%CI 1.411-3.724),placenta praevia (OR=7.199,95%CI 4.663-9.736),placental adherence or implantation or placental abruption (OR =2.951,95%CI 1.735-4.166),uterus scar(OR =2.881,95%CI 1.683-4.078),uterine inertia(OR =8.207,95%CI 5.902-10.512),inhibitor of antepartum uterine contraction (OR =4.865,95%CI 3.073-6.656) and coagulation disorders (OR =3.004,95%CI 1.771-4.237).Conclusion The incidence of postpartum hemorrhage after cesarean section is still high .Preventive measures at the risk factors should be a-dopted to lower the incidence of the complication .%目的:探讨剖宫产产后出血的相关危险因素。方法选择2011年1月至2013年12月在深圳市南山人民医院妇产科实施剖宫产产妇5210例,术后发生出血89例,以发生产后出血的患者为病例组,同时选择未出血的89例剖宫产患者为对照组,研究可能影响产后出血的相关危险因素。结果影响产后出血的因素包括多胎妊娠(OR =2.568,95%CI 1.411~3.724)、前置胎盘(OR =7.199,95%CI 4.663~9.736)、胎盘粘连或植入或早剥(OR=2.951,95%CI 1.735~4.166)、子宫瘢痕(OR=2.881,95%CI 1.683~4.078)、子宫收缩乏力(OR=8.207,95%CI 5.902~10.512)、产前子宫收缩抑制剂( OR =4.865,95%CI 3.073~6.656)、凝血功能障碍( OR =3.004,95%CI 1.771~4.237)。

  12. Linear Confirmatory Factor Models To Evaluate Multitrait-Multimethod Matrices: The Effects of Number of Indicators and Correlation among Methods.

    Science.gov (United States)

    Tomas, Jose M.; Hontangas, Pedro M.; Oliver, Amparo

    2000-01-01

    Assessed two models for confirmatory factor analysis of multitrait-multimethod data through Monte Carlo simulation. The correlated traits-correlated methods (CTCM) and the correlated traits-correlated uniqueness (CTCU) models were compared. Results suggest that CTCU is a good alternative to CTCM in the typical multitrait-multimethod matrix, but…

  13. Comparative analysis of correlative factors in different types premature dilivery%不同类型早产相关因素对比分析

    Institute of Scientific and Technical Information of China (English)

    于荣; 王凤英; 崔志清; 孙菲

    2015-01-01

    目的:探讨不同类型早产发生率、相关因素及妊娠结局。方法收集首都医科大学宣武医院妇产科2009年1月—2013年12月不同类型早产孕妇和新生儿的临床资料,对不同组别孕产妇(未足月胎膜早破组301例、未足月分娩组234例、医源性早产组193例)并发症发生情况、分娩方式、新生儿资料进行比较。结果2009—2013年早产率逐年增加,但差异无统计学意义( P >0.05)。医源性早产组产妇年龄、剖宫产率、Apgar评分异常率及并发症明显高于未足月分娩组、未足月胎膜早破组( P <0.05),而孕周、胎儿出生体质量低于未足月分娩组、未足月胎膜早破组( P <0.05);3组早产中经产妇和未进行过产前检查者明显高于初产妇和接受过产检者( P <0.01),医源性早产组经产妇和未进行过产前检查的早产发生率高于未足月胎膜早破组和未足月分娩组( P <0.05)。医源性早产中妊娠期高血压疾病患者高占67.36%(130/193),胎盘因素占15.54%(30/193),胎儿因素占7.77%(15/193),其他占9.33%(18/193)。结论早产率逐年增加,其中医源性早产、未足月胎膜早破是早产发生率增高的重要因素,而减少医源性早产对降低早产的发生率至关重要。%Objective To explore the different types of the premature delivery rate, related factors and pregnancy outcome.Methods From January 2009 to December 2013,clinical data different types of preterm birth pregnant women and neonates in department of gynecology and obstetrics,Xuanwu Hospital of Capital University of Medical Sciences were collected, for different groups of pregnant women ( preterm premature rupture of membranes group was 301 cases, preterm labor group was 234 cases, iatrogenic preterm group was 193 cases) , complications, mode of delivery and the data of the newborn were compared.Results From

  14. Exact factorization of correlation functions in 2-D critical percolation

    CERN Document Server

    Simmons, Jacob J H; Ziff, Robert M

    2007-01-01

    By use of conformal field theory, we discover several exact factorizations of higher-order density correlation functions in critical two-dimensional percolation. Our formulas are valid in the upper half-plane, or any conformally equivalent region. We find excellent agreement of our results with high-precision computer simulations. There are indications that our formulas hold more generally.

  15. Face hallucination using orthogonal canonical correlation analysis

    Science.gov (United States)

    Zhou, Huiling; Lam, Kin-Man

    2016-05-01

    A two-step face-hallucination framework is proposed to reconstruct a high-resolution (HR) version of a face from an input low-resolution (LR) face, based on learning from LR-HR example face pairs using orthogonal canonical correlation analysis (orthogonal CCA) and linear mapping. In the proposed algorithm, face images are first represented using principal component analysis (PCA). Canonical correlation analysis (CCA) with the orthogonality property is then employed, to maximize the correlation between the PCA coefficients of the LR and the HR face pairs to improve the hallucination performance. The original CCA does not own the orthogonality property, which is crucial for information reconstruction. We propose using orthogonal CCA, which is proven by experiments to achieve a better performance in terms of global face reconstruction. In addition, in the residual-compensation process, a linear-mapping method is proposed to include both the inter- and intrainformation about manifolds of different resolutions. Compared with other state-of-the-art approaches, the proposed framework can achieve a comparable, or even better, performance in terms of global face reconstruction and the visual quality of face hallucination. Experiments on images with various parameter settings and blurring distortions show that the proposed approach is robust and has great potential for real-world applications.

  16. Correlations of MMPI factor scales with measures of the five factor model of personality.

    Science.gov (United States)

    Costa, P T; Busch, C M; Zonderman, A B; McCrae, R R

    1986-01-01

    Two recent item factor analyses of the Minnesota Multiphasic Personality Inventory (MMPI) classified the resulting factors according to a conceptual scheme offered by Norman's (1963) five factor model. The present article empirically evaluates those classifications by correlating MMPI factor scales with self-report and peer rating measures of the five factor model in a sample of 153 adult men and women. Both sets of predictions were generally supported, although MMPI factors derived in a normal sample showed closer correspondences with the five normal personality dimensions. MMPI factor scales were also correlated with 18 scales measuring specific traits within the broader domains of Neuroticism, Extraversion, and Openness. The nine Costa, Zonderman, McCrae, and Williams (1985) MMPI factor scales appear to give useful global assessments of four of the five factors; other instruments are needed to provide detailed information on more specific aspects of normal personality. The use of the five factor model in routine clinical assessment is discussed.

  17. Correlational analysis of the affecting factors of bone mineral density in postmenopausal women%绝经后妇女骨密度影响因素的相关性分析

    Institute of Scientific and Technical Information of China (English)

    王振鹏; 杨茂伟; 杨阳; 孙广宏

    2013-01-01

    目的:探讨沈阳地区绝经后妇女不同部位骨密度值与亚洲人骨质疏松自我筛查工具( OSTA)得分、体表面积( BS)、体重指数( BMI)的关系,判断OSTA评分与绝经后妇女髋关节骨折风险的相关性。方法采用双能X线骨密度仪测定沈阳地区670例绝经后妇女的骨密度值( BMD),并与OSTA得分、体表面积、体重指数( BMl)、绝经年限进行Pearson相关性回归分析。应用WHO骨折风险因子评估工具( FRAX)评估绝经后妇女髋关节骨折风险,采用线性图表及Pearson相关性回归分析比较OSTA评分与绝经后妇女髋关节骨折风险是否存在相关性。结果骨密度与OSTA评分、体表面积、体重指数呈线性正相关,相关性由大到小分别为OSTA评分、体表面积、体重、身高、BMI、年龄、绝经期、肥胖度;骨密度与绝经年限呈线性正相关趋势;OSTA评分与髋关节骨折风险呈负相关。结论 OSTA得分能较好的反映出绝境后妇女骨密度减低的趋势及程度,同时也能预测绝经后妇女髋关节骨折风险的程度,在临床中应对OSTA评分较低患者应采取必要的相关性治疗及干预。%Objective To investigate the relationship between bone mineral density ( BMD) and osteoporosis self-assessment tool for Asians (OSTA) score, body surface area (BS), and body mass index (BMI), and to evaluate the correlation between OSTA score and the risk of the hip fractures in postmenopausal women .Methods BMD was detected using dual energy X-ray absorptiometry ( DEXA) in 670 postmenopausal women in Shenyang .Pearson correlation analysis was performed to analyze the correlation between BMD and OSTA score, BS, and BMI.The risk of the hip fractures in postmenopausal women was assessed using WHO fracture risk factor assessment tool ( FRAX) .The correlation between OSTA score and the risk of the hip fractures in postmenopausal women was analyzed using Pearson

  18. Analysis of correlative factors on refraction of preschool children%学龄前儿童屈光状态影响因素分析

    Institute of Scientific and Technical Information of China (English)

    陈巍; 李亚平; 李晓慧; 冯晶晶; 刘惠云

    2012-01-01

    Objective To identify the associations between the refraction of preschool children and near work, outdoor activity, and food. Methods Survey-based data came from 690 preschool children taking physical health examination in our hospital. Children underwent measurement of refractive error using Suresign! Vision Screening under noncydoplegic. Myopia potential was defined as sphere diopter being +0.75D or less. Subjects were administered a questionnaire on time spent every day on near activities (reading and writing, playing video games, watching television), time spent on outdoors and the habit of taking foods. Diopter—hours were calculated. Logistic regression models were used to assess the association between the major risk factors and quick refractive development in right eyes. Results Among 690 children with refraction data, 501 (230 girls and 271 boys) completed the questionnaire survey. The percenls of myopia potential in left and right eyes were 14.4% and 16.0% respectively. Univariale logistic regression showed that girls had more risk of myopia potential than boys (P=0.024, OR: 1.743, 95%CI: 1.075-2.826). More outd.xir activities reduced the risk of myopia potential (P=0.035,OR: 0.683,95%CI: 0.479-0.973). All near activities were unassoriated with refraction and the diopter—hours was unassoriatfid with refraction too (P=0.378, OR: 0.949. 95%CI: 0.845-1.066). The habit of taking foods did not relate to the refraction. Multivariate logistic regression model suggested that gender was still associated with refrartion while outdoor activity became unassociated with it after controlling the confounding effects of gender, diopter—hours and outdoor activity. Conclusions Girl had more risk of myopia potential than boy among preschool children. There were no associations between refraction with near work, outdoor activity and food.%目的 探讨视近活动、户外活动和饮食习惯对学龄前儿童屈光状态的影响.方法 对象为在

  19. Serum tissue factor levels correlate with inflammation in ankylosing spondylitis.

    Science.gov (United States)

    Wendling, Daniel; Racadot, Evelyne

    2006-07-01

    Tissue factor, the main initiator of blood coagulation, is released into the bloodstream when vessel damage occurs. Vessel damage may occur in ankylosing spondylitis (AS). To measure tissue factor levels in patients with AS and to look for correlations between tissue factor levels and established clinical and laboratory markers for disease activity. We compared patients who met modified New York criteria for AS to healthy untreated controls. Serum tissue factor was assayed using an ELISA. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), and Bath Ankylosing Spondylitis Global Score (BAS-G) were recorded, as well as the erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) level, and IgA level. ANOVA and t-tests were performed. P values0.05). In this preliminary study in patients with AS, tissue factor levels were high and correlated with laboratory tests for inflammation. Tissue factor elevation may be a cause or a consequence of AS inflammation that promotes the occurrence of vascular events.

  20. Gait Correlation Analysis Based Human Identification

    Directory of Open Access Journals (Sweden)

    Jinyan Chen

    2014-01-01

    Full Text Available Human gait identification aims to identify people by a sequence of walking images. Comparing with fingerprint or iris based identification, the most important advantage of gait identification is that it can be done at a distance. In this paper, silhouette correlation analysis based human identification approach is proposed. By background subtracting algorithm, the moving silhouette figure can be extracted from the walking images sequence. Every pixel in the silhouette has three dimensions: horizontal axis (x, vertical axis (y, and temporal axis (t. By moving every pixel in the silhouette image along these three dimensions, we can get a new silhouette. The correlation result between the original silhouette and the new one can be used as the raw feature of human gait. Discrete Fourier transform is used to extract features from this correlation result. Then, these features are normalized to minimize the affection of noise. Primary component analysis method is used to reduce the features’ dimensions. Experiment based on CASIA database shows that this method has an encouraging recognition performance.

  1. Metrics correlation and analysis service (MCAS)

    Energy Technology Data Exchange (ETDEWEB)

    Baranovski, Andrew; Dykstra, Dave; Garzoglio, Gabriele; Hesselroth, Ted; Mhashilkar, Parag; Levshina, Tanya; /Fermilab

    2009-05-01

    The complexity of Grid workflow activities and their associated software stacks inevitably involves multiple organizations, ownership, and deployment domains. In this setting, important and common tasks such as the correlation and display of metrics and debugging information (fundamental ingredients of troubleshooting) are challenged by the informational entropy inherent to independently maintained and operated software components. Because such an information 'pond' is disorganized, it a difficult environment for business intelligence analysis i.e. troubleshooting, incident investigation and trend spotting. The mission of the MCAS project is to deliver a software solution to help with adaptation, retrieval, correlation, and display of workflow-driven data and of type-agnostic events, generated by disjoint middleware.

  2. Factor analysis of multivariate data

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.; Mahadevan, R.

    A brief introduction to factor analysis is presented. A FORTRAN program, which can perform the Q-mode and R-mode factor analysis and the singular value decomposition of a given data matrix is presented in Appendix B. This computer program, uses...

  3. Factor Analysis of Intern Effectiveness

    Science.gov (United States)

    Womack, Sid T.; Hannah, Shellie Louise; Bell, Columbus David

    2012-01-01

    Four factors in teaching intern effectiveness, as measured by a Praxis III-similar instrument, were found among observational data of teaching interns during the 2010 spring semester. Those factors were lesson planning, teacher/student reflection, fairness & safe environment, and professionalism/efficacy. This factor analysis was as much of a…

  4. Factor analysis and missing data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2000-01-01

    The authors study the estimation of factor models and the imputation of missing data and propose an approach that provides direct estimates of factor weights without the replacement of missing data with imputed values. First, the approach is useful in applications of factor analysis in the presence

  5. An accurate empirical correlation for predicting natural gas compressibility factors

    Institute of Scientific and Technical Information of China (English)

    Ehsan Sanjari; Ebrahim Nemati Lay

    2012-01-01

    The compressibility factor of natural gas is an important parameter in many gas and petroleum engineering calculations.This study presents a new empirical model for quick calculation of natural gas compressibility factors.The model was derived from 5844 experimental data of compressibility factors for a range of pseudo reduced pressures from 0.01 to 15 and pseudo reduced temperatures from 1 to 3.The accuracy of the new empirical correlation has been compared with commonly used existing methods.The comparison indicates the superiority of the new empirical model over the other methods used to calculate compressibility factor of natural gas with average absolute relative deviation percent (AARD%) of 0.6535.

  6. Coherence factor effects in the antisymmetrized LDOS correlators

    Science.gov (United States)

    Maltseva, Marianna; Coleman, P.

    2009-03-01

    Recent scanning tunneling experiments on underdoped cuprates by Hanaguri et al [1] show the appearance of coherence factor effects. Unlike conventional observables, we show that the tunneling density of states in a superconductor does not have a well defined coherence factor. However, by extracting the component that is either even, or odd in the bias voltage, we show that these separate components have well-defined coherence factors. These results are used to understand the appearance of coherence factor effects in the antisymmetrized local density of states correlators in recent scanning tunneling experiments. [3pt] [1] T. Hanaguri, Y. Kohsaka, M. Ono, M. Maltseva, P. Coleman, I. Yamada, M. Azuma, M. Takano, K. Ohishi and H. Takagi, to be published (2009).

  7. Analysis of Correlation between Climatic Factors and Conventional Chemical Composition of Flue-cured Tobacco%气候因子与烤烟常规化学成分相关性分析

    Institute of Scientific and Technical Information of China (English)

    李琦; 王勇军; 蔡凤梅

    2014-01-01

    为了明确气候因子与烤烟品质之间的关系,对卢氏县2005~2012年度气象数据与当地烤烟常规化学成分含量数据进行了相关性分析。结果表明:平均气温与中部叶氯元素累积、中部叶钾氯比、下部叶糖碱比显著相关;空气相对湿度与上部叶钾元素累积显著相关,降雨量与上部叶钾、氯元素的累积和中部叶还原糖含量显著相关。在今后的烟叶生产中,可有针对性地调整烤烟的播种时间或是采取其他管理措施,来平衡烟叶中的化学成分含量,提高烟叶品质。%In order to determine the correlation between climatic factors and quality of flue-cured tobacco, a correlation analysis was conducted to the annual climate data in Lushi County from 2005 to 2012 and the conventional chemical composition content of local tobacco. The results showed that average temperature was significantly correlated with chlorine accumulation in middle leaves, ratio of potassium to chloride in middle leaves, and ratio of sugar to alkali in lower leaves; air relative humidity was significantly correlated with potassium accumulation in upper leaves; rainfall was significantly correlated with potassium accumulation and chloride accumulation in upper leaves, and reducing sugar content in middle leaves. In the future tobacco-leaf production, it could adjust sowing time of tobacco or adopting the other managing measures accordingly to balance the contents of chemical compositions in the tobacco leaves in order to improve the quality of tobacco leaves.

  8. Multi-factor analysis of the liver focal calciifed lesions formation correlation factors at different ages%不同年龄段肝脏局灶性钙化性病变形成的多因素分析

    Institute of Scientific and Technical Information of China (English)

    尉伟; 梁晔; 孟艳秋

    2014-01-01

    Objective To explore the liver focal calcified lesions formation correlation factors at different ages.Methods 952 cases of focal calcification lesions of liver with the ultrasound, CT and clinical diagnosis were selected to analyze the correlation factors of the liver focal calcified lesions formation at different ages. Results Total LFCL detection rate was 4.0% (952/23800), single calcifications in 734 cases (77.10%), and multiple calcifications in 218 cases (22.90%). Calcifications distribution of the right liver lobe in 735 cases (77.21%), the left liver lobe in 176 cases (18.49%), whole liver in 41 cases (4.31%); the diameter of the calcification range from 3 to 40mm. Clinical imaging diagnosis for the liver nonspecific calcifications in 716 cases (75.21%), age range from 30 to 59 years old; bile duct wall calcification in 123 cases (12.92%), hepatic vascular wall calcification 45 cases (4.73%), hepatic cyst wall calcification 36 cases (3.78%), hepatic hemangioma calcification in 19 cases(1.99%), hepatocellular calcification in 8 cases (0.84%), calcification of 6 cases after partial hepatectomy (0.63%), calcification of liver after trauma in 2 cases (0.21%), calcification distributed in over 40 years old, the difference was statistically significant (P<0.05).Conclusion The reasons for the formation and property of LFCL for different age patients were different; age from 30~50 years old, more than 75% for liver nonspecific calcification; the calcification of the patients over 40 years of age was pathological calcification of the liver. Ultrasound and computed tomography (CT) is a reliable method for the diagnosis of LFCL.%目的:探讨不同年龄段肝脏局灶性钙化性病变(liverfocal calcifide lesions, LFCL)形成的相关性因素。方法回顾性分析952例经超声、CT和临床诊断的LFCL,分析不同年龄段LFCL的相关性因素。结果本组LFCL的总检出率4.0%(952/23800),单发性钙化灶734例(77.10%

  9. Correlative Analysis for hypertension and related family factors in school-age children with simple obesity%学龄期单纯性肥胖儿童高血压的家庭相关因素分析

    Institute of Scientific and Technical Information of China (English)

    杨长虹; 肖延风; 尹春燕; 易晓青; 常明; 徐尔迪

    2012-01-01

    [目的]研究影响肥胖学龄期儿童的血压升高的家庭相关危险因素,为儿童肥胖以及相关高血压的预防和治疗提供依据.[方法]采用Cox比例风险模型对124例肥胖儿童进行高血压的家庭相关因素分析.[结果]多因素Cox回归分析结果显示,母亲肥胖、父亲肥胖、家族高血压人数和出生体重在肥胖儿童发生高血压的相对危险度分别为2.117、1.969、1.828和1.777,P值均<0.05.[结论]父母肥胖、有高血压家族史以及出生体重巨大的肥胖儿童是早期发生高血压的高危人群.%[Objective! To study the related family factors on hypertension in school-age children with simple obesity. [Method] The correlative analysis for hypertension in obe.sity children and the risk factors of their family were done by COX multiple variable analysis. [Result] Cox regression analysis showed the relative risk of mother obese, father obese, family history of hypertension and birth weight were 2. 117,1. 969,1. 828 and 1. 777 respectively (All P<0. 05). [Conclusion] The obese children with obese parents, family history of hypertension or large birth weight are at high risk of early onset of hypertension.

  10. Simple LMFBR axial-flow friction-factor correlation

    Energy Technology Data Exchange (ETDEWEB)

    Chan, Y.N.; Todreas, N.E.

    1982-12-01

    Complicated LMFBR axial lead-length averaged friction-factor correlations are reduced to an easy, ready-to-use function of bundle Reynolds number for wire-wrapped bundles. The function together with the power curves to calculate the associated constants are incorporated in a computer preprocessor, EZFRIC. The constants required for the calculation of the subchannels and bundle friction factors are derived and correlated into power curves of geometrical parameters. A computer program, FRIC, which can alternatively be used to accurately calculate these constants is also included. The accurate values of the constants and the corresponding values predicted by the power curves and percentage error of prediction are tabulated for a wide variety of geometries of interest.

  11. Multivariate Longitudinal Analysis with Bivariate Correlation Test

    Science.gov (United States)

    Adjakossa, Eric Houngla; Sadissou, Ibrahim; Hounkonnou, Mahouton Norbert; Nuel, Gregory

    2016-01-01

    In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model’s parameters estimators. These estimators can be used in the framework of the multivariate longitudinal data analysis as well as in the more general context of the analysis of multivariate multilevel data. By using a likelihood ratio test, we test the significance of the correlations between the random effects of two dependent variables of the model, in order to investigate whether or not it is useful to model these dependent variables jointly. Simulation studies are done to assess both the parameter recovery performance of the EM estimators and the power of the test. Using two empirical data sets which are of longitudinal multivariate type and multivariate multilevel type, respectively, the usefulness of the test is illustrated. PMID:27537692

  12. 基于灰色关联分析的新疆旅游经济影响因素研究%A Research of Impacting Xinjiang Tourism Economic Factors Based on Gray Correlative Analysis

    Institute of Scientific and Technical Information of China (English)

    何瑛

    2012-01-01

    This paper established a county of indicators on measure impact Xinjiang tourism economic development, including human resources, tourism reception, tourism transport, information service, financial support indicator and opening to the outside world, 12 specific indicators. Then it used gray correlative analysis to research of internal system factor which impact Xinjiang tourism economic development. At last it analyzed the major factors of impacting Xinjiang tourism economic development, so as to make Xinjiang tourism economic sustain and coordinate.%通过建立影响新疆旅游经济发展的因子指标体系,包括人力资源、旅游接待、旅游交通、信息服务、资金支持因子和对外开放因子6个一级指标,12个二级指标,采用灰色关联度分析方法分别对影响新疆国际、国内旅游经济发展的内部系统因子进行实证研究,总结分析影响新疆旅游发展的主要因子,促进新疆旅游业持续协调发展.

  13. Correlation Spectroscopy of Minor Species: Signal Purification and Distribution Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Laurence, T A; Kwon, Y; Yin, E; Hollars, C; Camarero, J A; Barsky, D

    2006-06-21

    We are performing experiments that use fluorescence resonance energy transfer (FRET) and fluorescence correlation spectroscopy (FCS) to monitor the movement of an individual donor-labeled sliding clamp protein molecule along acceptor-labeled DNA. In addition to the FRET signal sought from the sliding clamp-DNA complexes, the detection channel for FRET contains undesirable signal from free sliding clamp and free DNA. When multiple fluorescent species contribute to a correlation signal, it is difficult or impossible to distinguish between contributions from individual species. As a remedy, we introduce ''purified FCS'' (PFCS), which uses single molecule burst analysis to select a species of interest and extract the correlation signal for further analysis. We show that by expanding the correlation region around a burst, the correlated signal is retained and the functional forms of FCS fitting equations remain valid. We demonstrate the use of PFCS in experiments with DNA sliding clamps. We also introduce ''single molecule FCS'', which obtains diffusion time estimates for each burst using expanded correlation regions. By monitoring the detachment of weakly-bound 30-mer DNA oligomers from a single-stranded DNA plasmid, we show that single molecule FCS can distinguish between bursts from species that differ by a factor of 5 in diffusion constant.

  14. 气象因素对农田鼠类数量影响的典型相关分析%Canonical correlation analysis of climate factors and farmland rodent density

    Institute of Scientific and Technical Information of China (English)

    刘自远

    2011-01-01

    Objective To study the impact of farmland climate factors on the rodent community. Methods From 1978 to 1993, canonical correlation analysis of the farmland rodent density and climate factors in Kaijiang county, Sichuan province was conducted. Results In the period, the overall farmland rodent density was 5.58%-26.57% ; Apodemus agrarius density 1.91%-18.41%, Rattus norvegicus density 0.68%-10.86%, and Anourosorex squamipes density 0.47%-9.50%. Among the canonical correlation coefficients between 12 climate factors including temperature, humidity, rainfall and sunshine, and four variables (overall rodent density, Ap. Agrarius density, R. Norvegicu density, An. Squamipes density), the first couple (correlation coefficient r-1.0000) was statistically significant (χ2=248.7032, P<0.01). The largest coefficient of the rodent density was noted in the overall rodent density (4.7748), and the largest coefficient of the climate factors was the average sunshine from July to August (-3.1532), followed by average humidity from July to August (-1.6177) and then average rainfall from July to August (-1.4652). All were negatively correlated. Conclusion Farmland rodent quantity was mainly affected by average sunshine, humidity and rainfall from July to August.%目的 探讨气象因素对农田鼠类数量的影响.方法 采用典型相关分析对开江县1978-1993年农田鼠密度与气象因素进行统计分析.结果 1978-1993年开江县农田总鼠密度为5.58%~26.57%,黑线姬鼠、褐家鼠、四川短尾鼩密度分别为1.91%~18.41%、0.68%~10.86%、0.47%~9.50%.气温、湿度、降雨量、日照数等12种气象因素与总鼠密度,黑线姬鼠、褐家鼠、四川短尾鼩密度4个因变量的典型相关系数中,第1对(r=1.0000)有统计学意义(x2=248.7032,P<0.01),鼠类数量以总鼠密度标准系数最大(4.7748),气象因素标准系数最大的依次为7-8月平均日照数(-3.1532)、7-8月平均湿度(-1.6177)和7-8

  15. On Form Factors and Correlation Functions in Twistor Space

    CERN Document Server

    Koster, Laura; Staudacher, Matthias; Wilhelm, Matthias

    2016-01-01

    In this paper, we continue our study of form factors and correlation functions of gauge-invariant local composite operators in the twistor-space formulation of N=4 super Yang-Mills theory. Using the vertices for these operators obtained in our recent papers arXiv:1603.04471 and arXiv:1604.00012, we show how to calculate the twistor-space diagrams for general N^kMHV form factors via the inverse soft limit, in analogy to the amplitude case. For general operators without $\\dot\\alpha$ indices, we then reexpress the NMHV form factors from the position-twistor calculation in terms of momentum twistors, deriving and expanding on a relation between the two twistor formalisms previously observed in the case of amplitudes. Furthermore, we discuss the calculation of generalized form factors and correlation functions as well as the extension to loop level, in particular providing an argument promised in arXiv:1410.6310.

  16. Genome-wide analysis correlates Ayurveda Prakriti.

    Science.gov (United States)

    Govindaraj, Periyasamy; Nizamuddin, Sheikh; Sharath, Anugula; Jyothi, Vuskamalla; Rotti, Harish; Raval, Ritu; Nayak, Jayakrishna; Bhat, Balakrishna K; Prasanna, B V; Shintre, Pooja; Sule, Mayura; Joshi, Kalpana S; Dedge, Amrish P; Bharadwaj, Ramachandra; Gangadharan, G G; Nair, Sreekumaran; Gopinath, Puthiya M; Patwardhan, Bhushan; Kondaiah, Paturu; Satyamoorthy, Kapaettu; Valiathan, Marthanda Varma Sankaran; Thangaraj, Kumarasamy

    2015-10-29

    The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as "Prakriti". To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p ≤ 1 × 10(-5)) were significantly different between Prakritis, without any confounding effect of stratification, after 10(6) permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India's traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.

  17. Runaway youths and correlating factors, study in Thailand.

    Science.gov (United States)

    Techakasem, Pisarn; Kolkijkovin, Varuna

    2006-02-01

    To study differences between runaways and non-runaways in a mental health clinic and to study differences between runaways in a mental health clinic and legal / shelter system. Psychiatric records of runaways and non-runaways from Vajira Hospital were collected from June 1994 to October 2003. 21 cases in each group were studied in various factors. 21 runaway cases who were in child and adolescent shelters were interviewed by the researchers. Neglect, sexual abuse, rejection, poverty and truancy were more common in the runaway group. The runaway group had more conduct disorder and substance abuse. Physical abuse, authoritarian and being in custody were more common in runaways in shelters. Various factors correlate with running away. These factors lie beneath long before runaway has taken place and understanding and managing them help in preventing and prompt treatment.

  18. 伊春林区森林火灾与气象因子相关分析%Correlation Analysis between Forest Fires & Meteorological Factors in Yichun Forest Zone

    Institute of Scientific and Technical Information of China (English)

    王继常; 李利

    2014-01-01

    Statistics data of forest fires from 1953 to 2006 in Yichun City were used to analyze the spatial and tempo-ral distribution .The relationship of the meteorological element & the fire was discussed .Result shows that :the frequency & the areas of the forest fire appear downward trend .No serious fire disaster occurred from 1981 to 2002 .The forest fire frequency & burned area increase significantly in the 21 century .The correlation analysis shows that the average relative humidity and precipitation are correlated with the forest fire frequency .Lightning fire occurrence have no obvious correlation with the annual meteorological factors .The average relative humidity from May to June is correlated with the lighting forest fire frequency .%利用伊春市1953-2006年的森林火灾历史资料,对该区林火时空分布特点进行了分析,并探讨了气象因素与火灾发生的关系。结果表明:森林火灾次数、面积随时间的持续呈下降趋势,进入20世纪80年代,伊春市实现连续22年(1981-2002年)没有发生重特大森林火灾;但进入21世纪,森林火灾次数、面积明显增加。利用相关性分析表明,年平均相对湿度及年降水与林火发生次数相关性较大。雷击火发生次数与年度气象因子相关性不明显,而与雷击火多发月(5-6月)平均相对湿度相关性较为显著。

  19. 锁定钢板治疗肱骨近端骨折术后并发症的相关因素分析%Correlative factor analysis of complications in proximal humerus fractures treated with locking plates

    Institute of Scientific and Technical Information of China (English)

    韦盛旺; 赵友明; 杨杰; 郭晓山; 陈华; 杨翔; 陈林

    2012-01-01

    目的 探讨应用锁定钢板治疗肱骨近端骨折发生术后并发症的相关因素.方法 回顾性分析80例(并发症组29例,无并发症组51例)行锁定钢板(LPHP或PHILOS)治疗肱骨近端骨折患者资料,应用Logistic回归分析研究各因素与术后并发症的关系.结果 单因素分析示,并发症组在年龄、术后内侧皮质缺损、肱骨颈干角复位不佳等方面与无并发症组比较,差异有统计学意义(P <0.05);Logistic回归分析发现术后内侧皮质缺损和肱骨颈干角复位不佳是发生术后并发症的独立预测因素.结论 影响锁定钢板治疗肱骨近端骨折术后并发症的相关因素较多,其中术后内侧皮质缺损及肱骨颈干角复位不佳是主要因素.%Objective To explore the correlative factors affecting the complications in proximal humerus fractures treated with locking plates. Methods Eighty patients (29 cases with complications and 51 cases without) with proximal humerus fractures were treated by locking plates (LPHP or PHILOS) and were retrospectively analyzed. And logistic regression analysis was used to find main factors. Results The univariate analysis showed that age, the integrity of the medial humerus wall postoperatively and head-shaft angle had a significant association with complications encountered in proximal humerus fractures treated with locking plate fixation (P<0.05). The multiple stepwise logistic regression showed that the postoperative integrity of the medial humerus wall and head-shaft angle were key factors affecting the complications. Conclusion The integrity of the medial humerus wall and head-shaft angle are the main factors affecting the complications.

  20. 脑积水分流术后感染因素与预后相关性分析%The correlation analysis of hydrocephalus shunt postoperative infection factors and prognosis

    Institute of Scientific and Technical Information of China (English)

    宋志伟

    2014-01-01

    Objective To analyze the hydrocephalus shunt postoperative infection factors and prognosis.Methods The clinical data of 403 patients with hydrocephalus shunts,including 64 cases of postoperative infection,were retrospectively analyzed.And the sex ratio,age level,differences in etiology and infection,and their relationship with prognosis were analyzed by logistic regression.Results There were 64 infection cases (15.9%),including 47 cases of meningitis (73.5%),10 cases of peritonitis (15.6 %),and 7 cases of postoperative infection (10.9%).The results of single factor Logistic regression analysis showed that gender,idio-hydrocephaly,apoplexy were not significantly correlated with hydrocephalus shunt postoperative infection(P >0.05),while age,congenital hydrocephalus,intracranial neoplasms,infection time were correlated with hydrocephalus shunt postoperative infection (P < 0.05).Age was negatively correlated with GOS (r =-0.478,P < 0.05).Conclusion Age,hydrocephalus etiology and infection time were the risk factors for infection.Age is a factor affect the prognosis.%目的 分析脑积水分流术后感染的相关因素及预后.方法 回顾性分析403例脑积水分流术后患者的临床资料,其中术后感染64例,并对性别比例、年龄层次、病因学及感染时期的差异与预后的关系进行Logistic回归分析.结果 403例接受脑积水分流术患者中有64例发生感染(15.9%),其中脑膜炎47例(73.5%)、腹膜炎10例(15.6%)、切口感染7例(10.9%).单因素Logistic回归分析结果显示,性别、特发性脑积水、脑出血等与脑积水分流术后感染无明显关联(均P>0.05);而年龄、先天性脑积水、颅内肿瘤、感染时间等则为脑积水分流术后感染发生的相关因素(均P <0.05).相关分析表明年龄与GOS呈负相关(r=-0.478,P<0.05).结论 年龄、脑积水病因及术后感染时间等是感染的危险因素;患者年龄越小,预后越好.

  1. Nerve Growth Factor, Brain-derived Neurotrophic Factor and Osteocalcin gene relationship in energy regulation, bone homeostasis and reproductive organs analyzed by mRNA quantitative evaluation and linear correlation analysis

    OpenAIRE

    Claudia Camerino; Elena Conte; Maria Cannone; Roberta Caloiero; Adriano Fonzino; Domenico Tricarico

    2016-01-01

    Nerve Growth Factor (NGF) / Brain-derived Neurotrophic Factor (BDNF) and osteocalcin share common effects regulating energy, bone mass, reproduction and neuronal functions. To investigate on the gene-relationship between NGF, BDNF and Osteocalcin we compared by RT-PCR the transcript levels of Ngf, Bdnf and Osteocalcin as well as of their receptors p75NTR/NTRK1, NTRK2 and Gprc6a in brain, bone, white/brown adipose tissue (WAT/BAT) and reproductive organs of 3 months old female and male mice. B...

  2. Correlation Factors Analysis of Malnutrition of 49 Patients with Hepatocirrhosis%49例肝硬化患者营养不良的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    欧阳伟钢; 李广鹏; 周黎黎

    2011-01-01

    目的:探讨肝硬化患者营养不良的相关因素.方法:已确诊49例肝硬化住院患者空腹测血常规、血生化、肝纤维化、血凝分析、微量元素测定、尿常规,及人体测量学指标:身高、体重(weight)、上臂围(Mid-upper arm circumference,AC)、上臂肌围(Mid-upper arm muscle circumference,AMC)、肱三头肌皮褶厚度(Triceps skin fold thickness,TSF)、髂骨上皮褶厚度(Ilium skin fold thickness,ISF)、腓肠肌围((Gastrocnemius muscle circumference,GC),计算体重指数(Body mass index,BMI)、Pignete指数、比胸围(Ratio of Chest circumference and body Height,C/H)、Rohrer指数、Vervaeck指数等指标110项,采用主观全面营养评价法(Subjective global assessment,SGA)进行营养评估.结果:计量资料应用t检验、计数资料应用X2检验进行单因素分析,筛选出与肝硬化营养不良有关的因素26项,纳入Logistic回归向前逐步选择法(似然比)行多因素分析,GC、AC、ISF、阴离子间隙(AG)4项指标的降低与肝硬化患者营养不良的发生有关系.结论:在采用SGA法评估肝硬化患者营养状况时,应注意GC、AC、ISF及AG的变化.%Objective: To investigate the correlation factors of patients with Hepatocirrhosis and Malnutrition. Methods: 49 patients have been diagnosed with Hepatocirrhosis in our hospital. Their 110 major indicators have been measured, which were fasting blood,including blood analysis, blood biochemistry, liver fibrosis, blood clotting function, tumor markers, trace elements measured, urine analysis, and anthropometric indicators, includes height, weight, mid-upper arm circumference (AC), mid-upper arm muscle circumference (AMC), triceps skin fold thickness(TSF), ilium skin fold thickness(ISF), gastrocnemius circuit(GC), body mass index(BMI), pignete index, the ratio of chest circumference and body height(C/H), rohrer index, vervaeck index and so on. To assessed their nutritional status by subjective global assessment

  3. Suicide During Perinatal Period: Epidemiology, Risk Factors and Clinical Correlates

    Directory of Open Access Journals (Sweden)

    Laura Orsolini

    2016-08-01

    Full Text Available Perinatal period may pose a great challenge for the clinical management and treatment of psychiatric disorders in women. In fact, several mental illnesses can arise during pregnancy and/or following childbirth. Suicide and infanticide have been considered relatively rare events during the perinatal period. However, in some mental disorders (i.e. postpartum depression, bipolar disorder, postpartum psychosis, etc. have been reported a higher risk of suicidal ideation, suicide attempt or suicide. Therefore, a complete screening of mothers’ mental health should also take into account thoughts of suicide and thoughts about harming infants as well. Clinicians should carefully monitor and early identify related clinical manifestations, potential risk factors and alarm symptoms related to suicide. The present paper aims at providing a focused review about epidemiological data, risk and protective factors and an overview about the main clinical correlates associated with the suicidal behaviour during the pregnancy and postpartum period.

  4. Improving fundamental factors among correlation matching algorithms in underwater TANS

    Science.gov (United States)

    Lin, Yi; Yan, Lei; Tong, Qingxi

    2007-06-01

    TERCOM, ICP and TIEM algorithms, which mathematically all apply correlation matching mode, have been developed for positioning in underwater Terrain-aided Navigation System (TANS), but how to virtually improve their performance is still research puzzle now. Analyzing the characters of terrain reference data's distribution and vehicles prowling underwater, we find that grid spacing and accumulation sequence are two decisional elements of underwater TANS. Then the modified Maximum a Posteriori (MAP) estimation algorithm (M-MAP) from super-resolution images reconstruction is creatively explored for implementing interpolation to enhance the accuracy of non-surveyed points' deep-determination, and basic error mechanism model (EMM) based on Mean Absolute Difference (MAD) algorithm is deduced which can reflect the relationship of underwater TANS's inner factors. Simulation experiments indicate that adopting appropriate fundamental factors can effectively boost up underwater TANS's navigation competence based on the algorithms listed above.

  5. [Bipolarity correlated factors in major depression: about 155 Tunisian inpatients].

    Science.gov (United States)

    Gassab, L; Mechri, A; Gaha, L; Khiari, G; Zaafrane, F; Zougaghi, L

    2002-01-01

    The distinction between the depressive troubles according to their inclusion in bipolar disorders or in recurrent depressive disorders offers an evident practical interest. In fact, the curative and mainly the preventive treatment of these troubles are different. So it is necessary to identify the predictive factors of bipolar development in case of inaugural depressive episode. In 1983, Akiskal was the first who identified those factors: pharmacological hypomania, puerperal depression, onset at early age (bipolar disorders to recurrent depressive disorders in order to indicate the correlated factors with bipolarity. It is a retrospective and comparative study based on about 155 inpatients for major depressive episode during the period between January 1994 and December 1998. These patients were divided into two groups according the DSM IV criteria: bipolar group (96 patients) and recurrent depressive group (59 patients). Both groups were compared according to socio-demographic data, life events in childhood, personal and family history, clinical and evolution characteristics of the index depressive episode. The predictive factors proposed by Akiskal were systematically examined. It was found out that the following factors were correlated with bipolarity: high rate of separation and divorce (17.7% versus 5.1%; p=0.02), family history of psychiatric disorders (56.3% versus 35.6%; p=0.012) especially bipolar ones (29.2% versus 3.4%; p=0,00008), onset at early age (mean age of onset: 24.8 8.2 years versus 34.1 12.6 years; p=0.000004), number of affective episode significantly more frequent (mean 3.6 versus 2.5; p=0.03), sudden onset of depressive episode (44.8% versus 15.9%; p=0.0003) and presence of psychotic characteristics (69.8% versus 16.7%; p=0.0001) catatonic characteristics (37.3% versus 20.3%; p=0.03), hypersomnia (51% versus 20.3%; p=0.03) and psychomotor inhibition (83.3% versus 42.4%; p=0.00007). Negatively correlated factors of bipolar depression were

  6. Interpreting canonical correlation analysis through biplots of stucture correlations and weights

    NARCIS (Netherlands)

    Braak, ter C.J.F.

    1990-01-01

    This paper extends the biplot technique to canonical correlation analysis and redundancy analysis. The plot of structure correlations is shown to the optimal for displaying the pairwise correlations between the variables of the one set and those of the second. The link between multivariate regressio

  7. Correlation between body mass index and the risk factors and severity of coronary artery disease

    Directory of Open Access Journals (Sweden)

    Jing LI

    2011-04-01

    Full Text Available Objective To assess the correlation between body mass index and the risk factors and severity of coronary artery disease.Methods Five thousand two hundred and ninety-four patients with suspected coronary artery disease,who underwent coronary angiography from Jan.2001 to Mar.2007 at 20 medical centers in China,were enrolled in the present study.The patients were divided into normal,overweight and obesity group,and body mass index(BMI,blood pressure(BP,blood glucose,serum total cholesterol(TC,triglyceride(TG,low-density lipoprotein cholesterol(LDL-C and high-density lipoprotein cholesterol(HDL-C were measured.The correlation between BMI and the risk factors and severity of coronary artery disease(CAD was analyzed.And the correlation between gender in different BMI group and CAD rick factors was also evaluated.Results The BMI was correlated with BP,TC,blood glucose,age and HDL-C(P 0.05 in male group.The BMI was correlated with BP,TC,TG,LDL-C and high blood glucose(P 0.05 in female group.Logistic regression analysis showed that hypertension was a prominent predictor of overweight and obesity(OR=2.102,95%CI 1.762~2.509.Conclusion BMI is significantly correlated with blood glucose,BP,TG,TC,LDL-C and HDL-C,but it is not an independent risk factor for CAD.

  8. First course in factor analysis

    CERN Document Server

    Comrey, Andrew L

    2013-01-01

    The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of

  9. 血浆内毒素与冠心病及其危险因素的相关性分析%Analysis on correlation between plasma endotoxin and coronary heart disease as well as risk factors

    Institute of Scientific and Technical Information of China (English)

    郭世杰; 王林; 吴存瑾; 杨丽敏; 刘柏年; 马金萍

    2013-01-01

    those of control group,but the level of high density lipoprotein cholesterol was lower in CHD group than that of control group (P<0.01).The proportion of patients with CHD increased with elevated plasma endotoxin levels (P<0.01).We discovered positive correlations in CHD group between plasma endotoxin and fibrinogen,triglyceride and low density lipoprotein cholesterol (P<0.05),and negative correlation between plasma endotoxin and high density lipoprotein cholesterol (P<0.05).Binary Logistic regression analysis showed that plasma endotoxin and low density lipoprotein cholesterol increased the risk of CHD,and high density lipoprotein cholesterol was a preventive factor against CHD.Conclusion:The plasma endotoxin is correlated with CHD as well as it's risk factors,and the synergistic effect of CHD risk factors may be the reason to promote the development of CHD .

  10. Quantification of human epidermal growth factor receptor 2 immunohistochemistry using the Ventana Image Analysis System: correlation with gene amplification by fluorescence in situ hybridization: the importance of instrument validation for achieving high (>95%) concordance rate.

    Science.gov (United States)

    Dennis, Jake; Parsa, Rezvaneh; Chau, Donnie; Koduru, Prasad; Peng, Yan; Fang, Yisheng; Sarode, Venetia Rumnong

    2015-05-01

    The use of computer-based image analysis for scoring human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) has gained a lot of interest recently. We investigated the performance of the Ventana Image Analysis System (VIAS) in HER2 quantification by IHC and its correlation with fluorescence in situ hybridization (FISH). We specifically compared the 3+ IHC results using the manufacturer's machine score cutoffs versus laboratory-defined cutoffs with the FISH assay. Using the manufacturer's 3+ cutoff (VIAS score; 2.51 to 3.5), 181/536 (33.7%) were scored 3+, and FISH was positive in 147/181 (81.2%), 2 (1.1%) were equivocal, and 32 (17.6%) were FISH (-). Using the laboratory-defined 3+ cutoff (VIAS score 3.5), 52 (28.7%) cases were downgraded to 2+, of which 29 (55.7%) were FISH (-), and 23 (44.2%) were FISH (+). With the revised cutoff, there were improvements in the concordance rate from 89.1% to 97.0% and in the positive predictive value from 82.1% to 97.6%. The false-positive rate for 3+ decreased from 9.0% to 0.8%. Six of 175 (3.4%) IHC (-) cases were FISH (+). Three cases with a VIAS score 3.5 showed polysomy of chromosome 17. In conclusion, the VIAS may be a valuable tool for assisting pathologists in HER2 scoring; however, the positive cutoff defined by the manufacturer is associated with a high false-positive rate. This study highlights the importance of instrument validation/calibration to reduce false-positive results.

  11. Correlation analysis of plasma creatinine after angiography and other risk factors%造影术后肌酐水平和各危险因素的相关性研究

    Institute of Scientific and Technical Information of China (English)

    双东思; 郭卉; 苏晞; 朱国英; 蔡建华

    2013-01-01

    OBJECTIVE To evaluate the relationship between serum creatinine after angiography and other risk factors.METHODS This study included 54 patients with mild or moderate renal disfunction and type 2 diabetes undergoing cardiovascular angiography.Baseline data (sex,baseline Scr,weight,height,etc.) and serum creatinine at 48 hours post-operation and at 72 hours post-operation were selected.Statistical analysis was performed among baseline Scr,Scr at 48 hours and Scr at 72 hours.The risk factors before angiography (sex,Cr,weight,height,BUN,DBP,ect.) were recorded and the relationship was analyzed by Partial least-squares regression on SIMCA-P software.RESULTS Statistical analysis of paired data showed that serum creatinine (Scr) at 72 hours post-operation significantly increased 3% than baseline (P =0.012;97.37 ± 20.06 vs.94.99 ± 20.27) umoL/1.Serum creatinine at 72 hours post-operation was considered as the peak value of post-operation.PLS showed significant positive correlations between plasma creatinine at 72 hours post-operation and Scr,Age,CHF,SBP,DBP,ACEI,ARB,contrast volume,BS,BUN,NSAIDS,and ALT and negative correlation between plasma creatinine at 72 hours post-operation and woman,weight,hydration,Hb and TC were observed.Scr,sex,weight,height and ACEI were revealed to be the leading correlated factors of plasma creatinine at 72 hours post-operation to VIP analysis.Successful fitting result was proved with predictive modeling analysis.CONCLUSION Serum creatinine at 72 hours post-operation in patients with mild or moderate renal disfunction and type 2 diabetes is the peak value of post-operation.The baseline serum creatinine is the most important risk factor in increased serum creatinine after angiography.%目的 探讨术后肌酐峰值和基线各危险因子的相关性.方法 选取行心血管造影的2型糖尿病并轻-中度肾功能不全的患者54例,收集术前基线资料(性别、基线肌酐、体重、身高等)和术后48 h和72 h肌酐

  12. 子宫内膜异位症腹腔镜保守性手术后复发的影响因素研究%Correlative factors analysis of recurrence of endometriosis after conservative laparoscopic surgery

    Institute of Scientific and Technical Information of China (English)

    李铭芬

    2012-01-01

    [Objective] To explore the correlative factors with recurrence of endometriosis after conservative laparoscopic surgery. [Methods] 126 patients of endometriosis were treated with laparoscopic surgery and then followed up for 3 years. 126 patients were analyzed retrospectively. The factors measured included: age, side of en-dometrioma, history of operation for endometriosis, history of laparoscopic surgery, type of R-AFS, serum CA125 level, post-operative GnRH-a therapy, post-operative Clomiphene therapy. [Results] The recurrence of endometriosis after conservative laparoscopic surgery was related to side of endometrioma, history of operation for endometriosis, type of R-AFS, CA125 level, post-operative GnRH-a therapy, post-operative Clomiphene therapy. The related factors by Logistic analysis were as follows: side of endometrioma, history of operation for endometriosis, type of R-AFS, post-operative GnRH-a therapy, post-operative Clmiphene therapy. [ Conclusions ] The correlative factors for recurrence of endometriosis after conservative laparoscopic surgery are side of endometrioma, history of operation for endometriosis, type of R-AFS, post-operative GnRH-a therapy, post-operative Clomiphene therapy.%目的 探讨子宫内膜异位症腹腔镜保守性手术后复发的影响因素.方法 回顾性分析该院行腹腔镜保守性手术治疗的126例EMs患者的临床资料并随访3年,对可能影响复发的相关因素(年龄、盆腔病变位置、既往有无EMs手术史、既往腹腔镜手术史、R-AFS分期、术前CA125水平、术后克罗米酚促排卵治疗及术后GnRH-a治疗)进行分析.结果 盆腔病变位置、有无EMs手术史、R-AFS分期、术前CA125水平、有无术后克罗米酚促排卵治疗及术后GnRH-a治疗等6个因素与术后复发有关系(P<0.05);Logistic回归分析发现既往有盆腔病变位置、无EMs手术史、R-AFS分期、术后克罗米酚促排卵治疗及术后GnRH-a治疗是影响腹腔镜保守性

  13. Correlative Peak Interval Prediction and Analysis of Chaotic Sequences

    Directory of Open Access Journals (Sweden)

    Qun Ding

    2011-07-01

    Full Text Available The paper proposes a digital circuit design for the logistic-map module used in chaotic stream ciphers, analyzes the factors that may affect the output of the sequences, and develops a calculation method for estimating the output sequential correlative peak interval. With the respective tests using different initial values, the values of parameter u and the computational precisions, extensive experiments   have   been   carried   out.   A   formula   for calculating correlative peak interval is proposed. Moreover, the relationships among precision, parameter u and correlative peak interval is provided. To ensure the security of the plaintext which is encrypted by the output sequence of the logistic-map, a proper precision could be chosen according to the formula. It provides a theoretic basis for the actual application of the chaos cryptology. The basic theory and methods have a significant implication on the statistical analysis and practical applications of the digital chaotic sequences. A diagram that presents the relationship among precision, parameter u and correlative peak interval has been generated for analysis.

  14. Asymmetric matrices in an analysis of financial correlations

    OpenAIRE

    2006-01-01

    Financial markets are highly correlated systems that reveal both the inter-market dependencies and the correlations among their different components. Standard analyzing techniques include correlation coefficients for pairs of signals and correlation matrices for rich multivariate data. In the latter case one constructs a real symmetric matrix with real non-negative eigenvalues describing the correlation structure of the data. However, if one performs a correlation-function-like analysis of mu...

  15. A New Methodology of Spatial Cross-Correlation Analysis

    Science.gov (United States)

    Chen, Yanguang

    2015-01-01

    Spatial correlation modeling comprises both spatial autocorrelation and spatial cross-correlation processes. The spatial autocorrelation theory has been well-developed. It is necessary to advance the method of spatial cross-correlation analysis to supplement the autocorrelation analysis. This paper presents a set of models and analytical procedures for spatial cross-correlation analysis. By analogy with Moran’s index newly expressed in a spatial quadratic form, a theoretical framework is derived for geographical cross-correlation modeling. First, two sets of spatial cross-correlation coefficients are defined, including a global spatial cross-correlation coefficient and local spatial cross-correlation coefficients. Second, a pair of scatterplots of spatial cross-correlation is proposed, and the plots can be used to visually reveal the causality behind spatial systems. Based on the global cross-correlation coefficient, Pearson’s correlation coefficient can be decomposed into two parts: direct correlation (partial correlation) and indirect correlation (spatial cross-correlation). As an example, the methodology is applied to the relationships between China’s urbanization and economic development to illustrate how to model spatial cross-correlation phenomena. This study is an introduction to developing the theory of spatial cross-correlation, and future geographical spatial analysis might benefit from these models and indexes. PMID:25993120

  16. Finite volume form factors and correlation functions at finite temperature

    CERN Document Server

    Pozsgay, Balázs

    2009-01-01

    In this thesis we investigate finite size effects in 1+1 dimensional integrable QFT. In particular we consider matrix elements of local operators (finite volume form factors) and vacuum expectation values and correlation functions at finite temperature. In the first part of the thesis we give a complete description of the finite volume form factors in terms of the infinite volume form factors (solutions of the bootstrap program) and the S-matrix of the theory. The calculations are correct to all orders in the inverse of the volume, only exponentially decaying (residual) finite size effects are neglected. We also consider matrix elements with disconnected pieces and determine the general rule for evaluating such contributions in a finite volume. The analytic results are tested against numerical data obtained by the truncated conformal space approach in the Lee-Yang model and the Ising model in a magnetic field. In a separate section we also evaluate the leading exponential correction (the $\\mu$-term) associate...

  17. Correlation between Nerve Growth Factor (NGF) with Brain Derived Neurotropic Factor (BDNF) in Ischemic Stroke Patient

    OpenAIRE

    Islam, Andi Asadul

    2016-01-01

    - The neurotrophins nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) is a family of polypeptides that play critical role during neuronal development, appear to mediate protective role on neurorepair in ischemic stroke. Naturally in adult brain neurorepair process consist of: angiogenesis, neurogenesis, and neuronal plasticity, it can also be stimulated by endogenous neurorepair. In this study we observed correlation between NGF and BDNF ischemic stroke patient's onset...

  18. An SPSSR -Menu for Ordinal Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mario Basto

    2012-01-01

    Full Text Available Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calculations. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It offers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper offers an SPSS dialog written in theR programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

  19. Correlation Analysis of Sleep Quality and Youth Ischemic Stroke

    Directory of Open Access Journals (Sweden)

    Shunqing Zhang

    2014-01-01

    Full Text Available Objective. To study risk factors related to ischemic stroke (IS in youth and the influence of sleep quality on youth ischemic stroke incidence. Methods. 223 patients aged 18 to 45 years who were admitted to Puyang People’s Hospital from June 2011 to February 2013 with a first-ever ischemic stroke were selected as the research cases. 158 young people with a normal physical examination were selected as the control group. The Pittsburgh Sleep Quality Index (PSQI questionnaire was used to analyse the correlation between sleep quality and youth IS incidence. The US National Institutes of Health Stroke Scale (NIHSS and modified Rankin Scale (MRS scores were used to assess cases’ state of illness and prognosis three months after IS. Results. Univariate and multivariate logistic regression analysis showed that the association of these risk factors with youth IS incidence, from highest to lowest, was hypertension, hyperlipidaemia, smoking history, high homocysteine, the quality of sleep, family history of stroke, and alcoholism. Poor sleep quality ranked fifth among all risk factors and was positively correlated with poor prognosis for youth IS patients. Conclusion. The results of this study showed that sleep quality is an important factor in the pathogenesis and prognosis of youth IS.

  20. Current correlators and form factors in the resonance region

    Energy Technology Data Exchange (ETDEWEB)

    Rosell, I. [Departamento de Ciencias Fisicas, Matematicas y de la Computacion, Universidad CEU Cardenal Herrera, c/Sant Bartomeu 55, E-46115 Alfara del Patriarca, Valencia (Spain); IFIC, Universitat de Valencia - CSIC, Apt. Correus 22085, E-46071 Valencia (Spain)

    2009-01-15

    Within Resonance Chiral Theory and in the context of QCD current correlators at next-to-leading order in 1/N{sub C}, we have analyzed the two-body form factors which include resonances as a final state. The short-distance constraints have been studied. One of the main motivations is the estimation of the chiral low-energy constants at subleading order, that is, keeping full control of the renormalization scale dependence. As an application we show the resonance estimation of some coupling, L{sub 10}{sup r}({mu}{sub 0})=(-4.4{+-}0.9).10{sup -3} and C{sub 87}{sup r}({mu}{sub 0})=(3.1{+-}1.1).10{sup -5}.

  1. The Correlative Factor Analysis of 51 Cases with Central Vein Catheter Infection%51例中心静脉导管感染相关性因素分析

    Institute of Scientific and Technical Information of China (English)

    谷晓蕾

    2015-01-01

    目的:通过回顾性分析中心静脉导管相关感染因素,探讨临床上的预防和治疗措施。方法回顾性分析2010年1月至2013年12月送检中心静脉导管尖端培养51例标本的培养结果,采用卡方检验分析24例阳性标本与导管留置时间的关系,分析其病原菌分类情况。结果51例送检标本中培养阳性24例,分离出真菌14株占58.33%,细菌10株占41.67%,其中革兰阳性菌6株占25.00%;革兰阴性菌4株占16.67%。结论中心静脉导管相关性感染与导管留置时间有相关性,真菌是主要感染源,加强无菌操作是关键。%objective To explore the clinical prevention and treatment measures by retrospectively analyzing correlative factors in the central venous catheter infection.Methods A retrospective analysis was made of the central venous catheter tip cultivation of 51 cases of specimen which were sent to our hospital from January 2010 to December 2013.And then the chi-square was used to analyze the relationship between 24 cases positive specimens and the catheter indwelling time.The classification of pathogenic bacteria was also analyzed.Results The 24 positive cases of the 51 samples included 14 strains of fungus (58.33%) and 10 strains of bacteria (41.67%).Among the 10 strains, 6 strains were gram-positive bacteria (25.00%) and 4 strains were Gram-negative bacteria (16.67%).Conclusion Central venous catheter infection has correlation with catheter indwelling time, and fungi are the main source of infection, so strengthening sterile operation is crucial.

  2. Gastrointestinal symptoms in patients with peritoneal dialysis: multivariate analysis of correlated factors%维持性腹膜透析患者胃肠道症状调查及相关因素分析

    Institute of Scientific and Technical Information of China (English)

    董睿; 郭志勇

    2013-01-01

    Objective To evaluate the gastrointestinal (GI) symptoms of peritoneal dialysis (PD) patients and to explore the related factors contributing to GI symptoms.Methods Gastrointestinal Symptom Rating Scale (GSRS) was used for subjective evaluation of GI symptoms in PD patients.The information of patients was obtained by inquiring patients or review of medical records.Multiple regression analysis with stepwise backward variable selection was used to identify factors correlated with GSRS scores.Results The prevalence rate of gastrointestinal symptoms was 61.6% in the PD patients.The prevalence rates of eating dysfunction,reflux and indigestion were 43.8%,32.1%,and 32.1%,respectively.We found that age (B=0.006,P=0.027),history of corticosteroid therapy (B=0.51,P<0.001) and daily tablet number (B=0.009,P=0.005) were positively correlated to GSRS score; and residual renal Kt/V (B =-0.27,P =0.001) was negatively correlated with GSRS score.Moreover,females seemed to have more GI symptoms than males (B =-0.15,P =0.033).The above five factors mentioned above could predict 36% of the GSRS score.Conclusion Eating dysfunction,reflux and indigestion are the most common disorders in PD patients.Old age,female sex,more daily tablet number and corticosteroid history are correlated with more severe GI symptoms,while residual renal function might be a preventing factor of GI symptom.%目的 评估腹膜透析(PD)患者中的主观胃肠道症状的出现情况并筛选出其相关影响因素.方法 采用胃肠道症状分级量表(Gastrointestinal Symptom Rating Scale,GSRS)对PD患者的主观胃肠道症状进行评估;同时通过询问和(或)回顾病例资料获取患者相关信息.采用多元逐步回归分析法筛选患者临床特征中与GSRS得分相关的因素.结果 PD患者各种胃肠道症状的总体发生率为61.6%;发生率较高的前3种胃肠道症状分别为进食功能障碍(43.8%)、胃食管反流症状(32.1%)以及消化不良(32

  3. A Correlation Analysis Model for Multidisciplinary Data in Disaster Research

    Directory of Open Access Journals (Sweden)

    Hongyue Zhang

    2015-05-01

    Full Text Available Data play an important role in disaster mitigation applications, and the integrated employment of multidisciplinary data promotes the development of disaster science. Therefore it is very useful to identify the multidisciplinary data usage in the research of disaster events. In order to discover the correlation between multidisciplinary data and disaster research, three earthquake events, the Tangshan earthquake, the Wenchuan earthquake, and the Haidi earthquake were selected as typical study cases for this paper. A knowledge model for literature data mining was applied to analyze the correlation between earthquake events and multidisciplinary data types. The results indicate that high-cited papers show different data usage trends when compared with whole-set papers and also that data usage for the three earthquake events varies. According to analysis results, the factors that influence multidisciplinary data usage include the characteristics of spatial and temporal elements as well as differing interests of the data users.

  4. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, Ph.K. (Illinois Univ., Urbana (USA))

    1982-01-01

    A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  5. Prognostic Factors for Open Globe Injuries and Correlation of Ocular Trauma Score in Tianjin, China

    Science.gov (United States)

    Meng, Yu; Yan, Hua

    2015-01-01

    Purpose. To investigate prognostic factors that influence the final visual acuity (VA) and to correlate the ocular trauma score (OTS) with the final VA in open globe injuries. Methods. A retrospective review of 298 patients with open globe injuries admitted to Tianjin Medical University General Hospital was carried out from January 1, 2010, till December 31, 2014. Prognostic factors influencing the final VA in patients with open globe injuries and the correlation between OTS and the final VA were examined. Results. Three hundred and fourteen eyes from 298 patients with open globe injuries were analyzed. Males had a higher rate of open globe injury than females (83.56% versus 16.44%). Mean age was 45.46 ± 17.48 years (5–95 years). In a univariate analysis, prognostic factors influencing the final VA included initial VA, relative afferent papillary defect (RAPD), vitreous hemorrhage, lens injury, endophthalmitis, hyphema, retinal detachment, and the zone of injury. In a multiple logistic regression analysis, initial VA, RAPD, and the zone of injury were considered to be independent risk factors. The OTS correlated with final VA (r = 0.988, p = 0.000). Conclusion. In our study, the most important prognostic factors influencing the final VA were initial VA, RAPD, and the zone of injury. The OTS was of great importance for patients and ophthalmologists. PMID:26491549

  6. Prognostic Factors for Open Globe Injuries and Correlation of Ocular Trauma Score in Tianjin, China

    Directory of Open Access Journals (Sweden)

    Yu Meng

    2015-01-01

    Full Text Available Purpose. To investigate prognostic factors that influence the final visual acuity (VA and to correlate the ocular trauma score (OTS with the final VA in open globe injuries. Methods. A retrospective review of 298 patients with open globe injuries admitted to Tianjin Medical University General Hospital was carried out from January 1, 2010, till December 31, 2014. Prognostic factors influencing the final VA in patients with open globe injuries and the correlation between OTS and the final VA were examined. Results. Three hundred and fourteen eyes from 298 patients with open globe injuries were analyzed. Males had a higher rate of open globe injury than females (83.56% versus 16.44%. Mean age was 45.46 ± 17.48 years (5–95 years. In a univariate analysis, prognostic factors influencing the final VA included initial VA, relative afferent papillary defect (RAPD, vitreous hemorrhage, lens injury, endophthalmitis, hyphema, retinal detachment, and the zone of injury. In a multiple logistic regression analysis, initial VA, RAPD, and the zone of injury were considered to be independent risk factors. The OTS correlated with final VA (r=0.988, p=0.000. Conclusion. In our study, the most important prognostic factors influencing the final VA were initial VA, RAPD, and the zone of injury. The OTS was of great importance for patients and ophthalmologists.

  7. Transforming Rubrics Using Factor Analysis

    Science.gov (United States)

    Baryla, Ed; Shelley, Gary; Trainor, William

    2012-01-01

    Student learning and program effectiveness is often assessed using rubrics. While much time and effort may go into their creation, it is equally important to assess how effective and efficient the rubrics actually are in terms of measuring competencies over a number of criteria. This study demonstrates the use of common factor analysis to identify…

  8. Grey Correlation Analysis on Main Factors Influencing the Shape of Blasted Stockpile Based on Weibull Model%基于Weibull模型的爆堆形态主要影响因素的灰色关联分析

    Institute of Scientific and Technical Information of China (English)

    韩亮; 毕文广; 李红江; 师相; 李柄成

    2011-01-01

    露天矿爆破中爆堆形态的影响因素众多,为找出影响爆堆形态的主控因素,引入灰色关联理论,由于爆堆形态无法用数字参量表达,因此很难直接利用灰色关联理论对其进行计算,通过引入Weibull模型对实测爆堆形态曲线进行拟合计算,完成了爆堆形态参数的量化过程,并对黑岱沟露天煤矿的49组实例进行了灰色关联度计算,得到了各因素对爆堆形态影响的关联序列,并对其进行了分析。该研究对于露天矿爆堆形态的设计优化具有一定的指导意义。%There are many factors influencing the shape of blasted stockpile in the open -pit. In order to find the main influence factors, the grey correlation theory is introduced. However, it is difficult to calculate the shape of blasted stockpile directly using grey correlation theory due to it is unable to express the shape with digital parameters. In this paper, by leading into Weibull model, the fitting calculation of the actual shape curve of blasted stockpile was accomplished, which made quantification of parameters of blasted stockpile. The 49 examples from Heidaigou open -pit were calculated with grey correlation theory, correlativity sequence of influencing factors of the blasted stockpile shape was obtained, and the results were analyzed. The research has definited significance for optimizing the shape design of blasted stockpile in openpit.

  9. Analysis of Baryon Angular Correlations with Pythia

    CERN Document Server

    Mccune, Amara

    2017-01-01

    Our current understanding of baryon production is encompassed in the framework of the Lund String Fragmentation Model, which is then encoded in the Monte Carlo event generator program Pythia. In proton-proton collisions, daughter particles of the same baryon number produce an anti-correlation in $\\Delta\\eta\\Delta\\varphi$ space in ALICE data, while Pythia programs predict a correlation. To understand this unusual effect, where it comes from, and where our models of baryon production go wrong, correlation functions were systematically generated with Pythia. Effects of energy scaling, color reconnection, and popcorn parameters were investigated.

  10. Clinical characteristics and correlative factors analysis of multiple myeloma with renal damage%多发性骨髓瘤患者肾损害临床特征及其相关因素分析

    Institute of Scientific and Technical Information of China (English)

    王建文; 彭佑铭; 魏佳莉

    2004-01-01

    目的了解多发性骨髓瘤(MM)肾损害患者临床特征及其发生的相关因素.方法对经临床、病理明确诊断的MM肾损害患者的临床特征及实验室检查进行统计学分析.结果MM肾损害的发生率为40.9%(18/44),临床症候群以肾功能不全(血肌酐>177μmol/L)最为常见(77.8%),其次为肾病综合征(16.7%)、无症状尿检异常(5.56%).血清轻链阳性率为72.2%(13/18),尿中轻链阳性率为77.8%(14/18例),均以λ链为主.骨髓浆细胞数量和尿本周蛋白(BJP)与肾功能损害之间有显著相关关系(P<0.01;P<0.05),贫血及多发性骨损害与肾脏损害有相关关系(P<0.05).结论MM伴肾损害患者临床症候群以肾功能不全多见,血清与尿液中轻链以λ为主.骨髓浆细胞增殖及尿轻链蛋白产生可能是多发性骨髓瘤肾脏损害的主要原因.%Objective: To analyze the clinical characteristics and the correlative factors of kidney lesion in 44 cases of multiple myeloma (MM). Methods: From March 1994 to March 2004, 44 patients with MM were diagnosed by clinical characteritics and pathological methods. Analysis of statistics in clinical characteristics and results of laboratory of kidney lesion of this group of patients were carried out. Results: The incidence of kidney lesion was 40.9% (18/44), with 18 patients occurred in 44 cases. Renal insufficiency (Scr>177.0 μmol/L) was the most frequent syndrome (77.8%), followed by nephrotic syndrome (16.7%) and syndrome of urinary abnormalities (5.56%). Free light chain was detected in serum of 13 (13/18) patients, in urine of 14 (14/18) patients, with λ chain as the dominant type. There was significant correlation between the quantity of bone marrow plasmacyte or urinary Bence-Jones protein and renal functional lesion (P<0.01, P<0.05). Anemia or multiple bone lesion was correlated with kidney damage. Conclusions: The most frequent clinical syndrome of MM with renal lesion is renal insufficiency. The λ chain

  11. Assessment of the accuracy of real-time continuous glucose monitoring system and its correlated factors

    Institute of Scientific and Technical Information of China (English)

    洛佩

    2014-01-01

    Objective To assess the factors that influence the accuracy of real-time continuous glucose monitoring system(RT-CGM).Methods A total of 79 diabetic patients wore RT-CGM for three days continuously while calibrating by interphalangeal glucose values 4-8 times a day.We counted matching rate of interphalangeal glucose values and RT-CGM probe value,and analyzed correlation of the matching rate with MAGE,SDBG,MBG,AUC10,AUC3.9,and NGE by Pearson correlation analysis and multiple linear

  12. The Correlation Analysis of Primary Nephrotic Syndrome with Platelet Activating Factor Acetylhydrolase%原发性肾病综合征与血小板活化因子水解酶的相关性分析

    Institute of Scientific and Technical Information of China (English)

    田鲁; 胡亚琳; 操轩

    2015-01-01

    Objective:To observe the correlation of primary nephrotic syndrome ( primary nephritic syn-drome,PNS) with platelet activating factor acetylhydrolase (platelet activating factor cetylhydrolase ,PAF-AH).Method:48 patients with primary nephrotic syndrome treated in the hospital from Jan .2013 to Jun. 2013 were selected as the research object , all were initial treatment patients .They were divided into simple nephrotic syndrome group (STNS group with 31 cases) and nephritic type nephrotic syndrome group (NTNS group with 17 cases);and according to the difference in effects of hormone treatment all patients were divided sensitive nephrotic syndrome ( steroid-sensitive nephritic syndrome , SSNS ) group ( 19 cases ) , steroid re-sistant nephrotic syndrome (steroid-resistent nephritic syndrome, SRNS) group (15 cases), steroid depend-ent nephrotic syndrome group ( steroid-dependent nephritic syndrome , SDNS ) group ( 14 cases ) , then se-lected healthy persons with 30 cases as control group , 78 cases were determined the activity of PAF-AH, then compared differences between two groups .Result:PAF-AH activity in STNS group was(51.9 ±8.3)μmoL· min-1 · L-1 and was higher than those in NTNS group and healthy control group , all P<0.05; and NTNS activity in PAF-AH group were higher than that in healthy control group , all P<0.05.The activity of PAF-AH in SSNS group were higher than those in SRNS group , SDNS group and the control group , P<0.05 group, SDNS group, SRNS and PAF-AH activity were higher than the control group , all P<0.05.By the a-nalysis of perason , PAF-AH activity and primary nephrotic syndrome had obvious correlation analysis ,rSTNS=0.618;rNTNS=0.524; rSSNS=0.717; rSRNS=0.567.; rSDNS=0.327, P<0.05.Conclusion: Platelet activating factor acetylhydrolase activity of patients with nephrotic syndrome is significantly higher than the normal population, and the different types of PNS patients ’ PAF-AH activity are different.%目的:观察

  13. Reliability Distribution of Numerical Control Lathe Based on Correlation Analysis

    Institute of Scientific and Technical Information of China (English)

    Xiaoyan Qi; Guixiang Shen; Yingzhi Zhang; Shuguang Sun; Bingkun Chen

    2016-01-01

    Combined Reliability distribution with correlation analysis, a new method has been proposed to make Reliability distribution where considering the elements about structure correlation and failure correlation of subsystems. Firstly, we make a sequence for subsystems by means of TOPSIS which comprehends the considerations of Reliability allocation, and introducing a Copula connecting function to set up a distribution model based on structure correlation, failure correlation and target correlation, and then acquiring reliability target area of all subsystems by Matlab. In this method, not only the traditional distribution considerations are concerned, but also correlation influences are involved, to achieve supplementing information and optimizing distribution.

  14. 腹腔镜检查慢性盆腔疼痛与社会心理因素的相关分析%Analysis on correlation between chronic pelvic pain checked by laparoscope and social-psychological factor

    Institute of Scientific and Technical Information of China (English)

    温坚; 张震; 殷新明

    2012-01-01

    目的:探讨慢性盆腔疼痛(CPP)与社会心理因素的相关性;方法:以212例CPP患者和295例子宫肌瘤患者为实验对象,对CPP患者142例行腹腔镜检查,自编社会心理变量调查表,人组时完成精神卫生自评量表(SCL-90)的测评,以各社会心理变量及简明精神病评定量表(SCL-90)的抑郁和焦虑因子标准分作为观察数据,采用美国SPSS 11.0版进行独立样本的t检验、x2检验和逐步回归分析.结果:腹腔镜检查结果阴性的CPP患者的婚姻状况、性伤害史、诊治次数、诱因及SCL-90抑郁因子标准分、焦虑因子标准分与对照组比较差异有统计学意义(P<0.05);而与文化程度、总病程无相关性,差异无统计学意义(P>0.05).腹腔镜检查结果阴性的CPP患者经心理咨询或抗抑郁治疗后疼痛症状有所减轻.结论:对于腹腔镜检查结果阴性的CPP患者而言,社会心理因素可能是导致其发病的成因之一,提示在诊疗CPP无效时,结合腹腔镜检查对患者实施充分的心理评估、恰当的心理治疗及抗抑郁、抗焦虑治疗是非常有必要的.%Objective: To explore the correlation between chronic pelvic pain (CPP) and social -psychological factor. Methods; A total of 212 CPP patients and 295 patients with uterine myoma were selected as experimental objects, 142 CPP patients received laparosco-py, a self - designed social - psychological variable questionnaire was used in the study, SCL - 90 was finished when the objects entered into group, various social - psychological variables and standard scores of depression and anxiety from SCL - 90 were obtained as observation data, SPSS 11. 0 software was used to conduct t test, χ2 test and stepwise regression analysis of independent sample. Results; There were statistically significant differences in marital status, sexual damage history, times of diagnosis and treatment, inducing factors, standard scores of depression and anxiety between CPP patients

  15. Analysis of Pre-morbid Personality and Correlative Factors in Patient with Post-stroke Depression%卒中后抑郁病人的病前人格及相关因素分析

    Institute of Scientific and Technical Information of China (English)

    程宗新; 涂江龙; 熊友生

    2009-01-01

    目的 探讨卒中病人的病前人格及相关因素与卒中后抑郁(PSD)发生的相关性.方法 对PSD病人(病例组)29例和脑卒中病人(对照组)32例进行艾森克人格问卷(EPQ)调查,并记录每位病例的相关资料.结果 男、女性病例组N值均较对照组大(均P0和优势比为1.504;而E值均较对照组小(均P0.05).结论 PSD病人的病前人格中有更多的情绪不稳定和性格内向,情绪不稳定和性格内向与PSD有相关性,是其危险因素.%Objective To explore the occurrenced correlation between pre-morbid personality and correlative factors in patient with post-stroke depression (PSD) and stoke.Methods Twenty-nine patients with PSD (case group) and 32 patients with subacute stroke (control group) investigated of eysenck personality questionnaire(EPQ).The recording information of each case was correlative.Results N value of male and female case group was higher than those in control group(P0 and odds ratio was 1.504;while E value was reversed(P0.05,respectively).Conclusion Unstable emotion and introverted personality show more frequently in patient with PSD,which maybe correlative in the occurrence of depression in patient with stroke.They are risk factors of PSD.

  16. Factor Rotation and Standard Errors in Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.

    2015-01-01

    In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…

  17. Measurement and correlates of internalized homophobia: a factor analytic study.

    Science.gov (United States)

    Ross, M W; Rosser, B R

    1996-01-01

    We developed a scale to measure internalized homophobia in men who have sex with men, which is comprised of items derived from theoretical and clinical reports of internalized homophobia. Two hundred two men who have sex with men and who attend "Man to Man" sexual health seminars in a midwestern U.S. city completed the scale at baseline. Orthogonal factor analysis revealed four dimensions of internalized homophobia: public identification as gay, perception of stigma associated with being homosexual, social comfort with gay men, and the moral and religious acceptability of being gay. Factor scoring of these dimensions indicated that they were associated significantly with relationship satisfaction, duration of longest relationship, extent of attraction to men and women, proportion of social time with gay people, membership of gay/bisexual groups, HIV serostatus, and disclosure of sexual orientation. Internalized homophobia is measurable and consists of four dimensions that are associated significantly with low disclosure, shorter length of and satisfaction with relationships, lower degree of sexual attraction to men and higher degree of attraction to women, and lower social time with gay people.

  18. Path analysis of influencing factors correlated with test anxiety in middle school students%中学生考试焦虑相关影响因素的径路分析

    Institute of Scientific and Technical Information of China (English)

    孙月吉; 朱程清; 庞鑫鑫; 林媛; 郑亚; 周世昱; 吴军; 李娜; 沈惠娟; 丁慧敏

    2010-01-01

    目的 探讨中学生考试焦虑的相关因素及其影响路径.方法 整群随机抽取大连市中学生647名为研究对象,采用一般情况调查表、Sarason考试焦虑量表(TAS)、成就动机量表(AMS)、中学生应对方式问卷(CSS)、艾森克人格问卷(EPQ)、父母教养方式问卷(EMBU)及家庭环境量表中文版(FES-CV)进行调查.数据分析采用Pearson相关、多元线性回归及路径分析.结果 考试焦虑检出率为轻度25.97%,中度45.65%,重度28.38%;男生[(16.71±6.44)分],女生[(17.01±7.02)分]考试焦虑差异无显著性(t=1.469,P=0.334);考试焦虑与神经质、精神质、成就动机及竞争达成动机、忍耐、逃避、发泄、否认幻想、家庭矛盾性、父母惩罚严厉、过度干涉、拒绝否认、父亲过度保护等呈正相关(r1-16:0.214,0.135,0.254,0.216,0.308,0.472,0.492,0.168,0.249,0.537,0.282,0.102,0.238,0.185,0.233,0.301,0.273;P1-16<0.05),与解决问题和合理化解释、家庭亲密度、知识性、娱乐性、情感表达、组织性、父母温暖理解等呈负性相关(r 1-9:-0.121,-0.134,-0.178,-0.215,-0.221,-0.101,-0.298,-0.136,-0.168;P 1-9<0.01);进入考试焦虑回归方程的是竞争达成动机、发泄情绪、组织性、精神质、神经质、父温暖理解、母拒绝否认(t1-7:2.496,2.521,2.687,2.150,3.503,2.237,2.259;P1-7<0.05).结论 中学生普遍存在考试焦虑情绪;成就动机、情绪化应对、人格、家庭环境及父母教养方式通过不同路径影响考试焦虑情绪.%Objective To find some risk factors correlated with test anxiety of middle school students,and to find out influencing pathway for test anxiety. Methods 647 middle school students were investigated with Sarason' Test Anxiety Scale (TAS), Achievement Motivation Scale (AMS), Coping Style Scale for School Students ( CSS), Eysenck Personality Questionnaire( EPQ), Egma Minnen av Bardndosnauppforrestran(EMBU) and Family Environment Scale-Chinese Version

  19. The Correlation Analysis of Mental Health and Influencing Factors of New Recruits%某部新兵心理健康状况及其影响因素的相关分析

    Institute of Scientific and Technical Information of China (English)

    元静; 叶天利; 杨帆; 李培凯; 马立军; 杨建中

    2012-01-01

    的心理健康教育,了解其个性特点以及心理健康状态,定期对官兵进行心理评估,建立心理健康档案,便于更好地掌握官兵的心理动向,为部队的心理健康教育和管理提供科学的依据.%Objective To explore the mental health status of new recruits from a troop to provide the scientific evidences for the mental health education , the management and target-oriented psychological counseling in recruit training period as well as developing in the future. Methods SCL-90, EPQA, SAS, SDS were used to investigate 700 new recruits with self-reported questionnaire, then we compared their mental health level between different culture, different regions, the family inhabited area and whether for single children. Results 1 Except depression, hostility and crankiness, among the SCL-90 10 factors, there were differences between other factors and the national norm (P < 0.01). The somzatization was obviously higher than the national norm, and the next was anxiety and the force factor. The standard scores of SAS and SDS from these recruits were prominently higher than the national norm (P < 0.01). The significant differences were found in the scores of E, N and L of EPQA between the new recruits and normal controls (P<0.05). 2 For interpersonal relationship sensitiveness factor and psychotic factor, the scores of the immature mental age stage (17-19 year-old) were higher than the mature period soldiers' (P<0.05). The N score of the countryside original soldiers was higher than the city's (P<0.05) .There were no statistical significant differences among any factor of the four questionnaires in term of original places, single child or the birth order. In the scores of SDS , P and L, educational level was one of important factors. 3 Multiple linear regression and correlation analysis found that personality characteristics had relationship with the average of SCL-90, the scores of somatization factor, force factor, SAS and SDS. Conclusion In

  20. Premaceral contents of peats correlated with proximate and ultimate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, A.D.; Andrejko, M.J.

    1983-01-01

    Preliminary correlations of petrographic characteristics of peats (i.e., peat types, premaceral proportions, and premaceral types) with proximate analysis, ultimate analysis, and Btu content are reported. These correlations suggest the following trends: (1) peats with the highest proportions of birefringent macerals tend to have highest volatile matter (and H and O contents); (2) fluorescence of macerals seems to correlate only slightly with proximate and ultimate analyses; (3) higher previtrinite contents tend to correlate with higher volatile matter contents; (4) peats with higher preinertinities, prephlobaphenites (and precorpocollinites), and presclerotinites have the highest fixed carbon; and (5) Btu correlates strongly with ash content and only slightly with maceral content. (BLM)

  1. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    of PCA and related techniques. An interesting dilemma in reduction of dimensionality of data is the desire to obtain simplicity for better understanding, visualization and interpretation of the data on the one hand, and the desire to retain sufficient detail for adequate representation on the other hand......Based on work by Pearson in 1901, Hotelling in 1933 introduced principal component analysis (PCA). PCA is often used for general feature generation and linear orthogonalization or compression by dimensionality reduction of correlated multivariate data, see Jolliffe for a comprehensive description...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  2. Risk Factor Analysis for Signalized Intersections Along Corridors with a Consideration of Spatial Correlation%考虑空间相关性的信控交叉口安全分析

    Institute of Scientific and Technical Information of China (English)

    王雪松; 谢琨; 陈小鸿; 王珂

    2012-01-01

    Generalized estimating equation (GEE) was applied to account for the correlation among intersections from corridors. Risk factors including intersection location, geometric design, signal control, and operation condition were identified. The results show that GEE with the autoregressive correlation structure is the most effective way to deal with the spatially correlated data. It confirms that intersections in close proximity, with greater ratio of turning lanes, more number of phrases, and more ADT tend to have higher crash frequencies; 4-legged intersections and intersections under elevated expressways are associated with more crashes.%利用广义估计方程(generalized estimating equation,GEE)考虑交叉口的空间相关性,分析交叉口所处位置、几何设计、信号控制、运行状况等因素对于安全的影响.结果表明,以自回归型(autoregressive)为关联矩阵的GEE模型具有最优的拟合效果;交叉口间距越小、转向车道比例越大、相位数越多、日均流量越大,事故产生的风险越大;十字交叉口、低交通密度、位于高架下的交叉口的事故发生几率较高.

  3. Elastic sequence correlation for human action analysis.

    Science.gov (United States)

    Wang, Li; Cheng, Li; Wang, Liang

    2011-06-01

    This paper addresses the problem of automatically analyzing and understanding human actions from video footage. An "action correlation" framework, elastic sequence correlation (ESC), is proposed to identify action subsequences from a database of (possibly long) video sequences that are similar to a given query video action clip. In particular, we show that two well-known algorithms, namely approximate pattern matching in computer and information sciences and dynamic time warping (DTW) method in signal processing, are special cases of our ESC framework. The proposed framework is applied to two important real-world applications: action pattern retrieval, as well as action segmentation and recognition, where, on average, its run time speed (in matlab) is about 3.3 frames per second. In addition, comparing with the state-of-the-art algorithms on a number of challenging data sets, our approach is demonstrated to perform competitively.

  4. OPERATIONAL MODAL ANALYSIS SCHEMES USING CORRELATION TECHNIQUE

    Institute of Scientific and Technical Information of China (English)

    Zheng Min; Shen Fan; Chen Huaihai

    2005-01-01

    For some large-scale engineering structures in operating conditions, modal parameters estimation must base itself on response-only data. This problem has received a considerable amount of attention in the past few years. It is well known that the cross-correlation function between the measured responses is a sum of complex exponential functions of the same form as the impulse response function of the original system. So this paper presents a time-domain operating modal identification global scheme and a frequency-domain scheme from output-only by coupling the cross-correlation function with conventional modal parameter estimation. The outlined techniques are applied to an airplane model to estimate modal parameters from response-only data.

  5. Dose-volume factors correlating with trismus following chemoradiation for head and neck cancer.

    Science.gov (United States)

    Rao, Shyam D; Saleh, Ziad H; Setton, Jeremy; Tam, Moses; McBride, Sean M; Riaz, Nadeem; Deasy, Joseph O; Lee, Nancy Y

    2016-01-01

    To investigate the dose-volume factors in mastication muscles that are implicated as possible causes of trismus in patients following treatment with intensity-modulated radiotherapy (IMRT) and concurrent chemotherapy for head and neck cancers. All evaluable patients treated at our institution between January 2004 and April 2009 with chemotherapy and IMRT for squamous cell cancers of the oropharynx, nasopharynx, hypopharynx or larynx were included in this analysis (N = 421). Trismus was assessed using CTCAE 4.0. Bi-lateral masseter, temporalis, lateral pterygoid and medial pterygoid muscles were delineated on axial computed tomography (CT) treatment planning images, and dose-volume parameters were extracted to investigate univariate and multimetric correlations. Forty-six patients (10.9%) were observed to have chronic trismus of grade 1 or greater. From analysis of baseline patient characteristics, toxicity correlated with primary site and patient age. From dose-volume analysis, the steepest dose thresholds and highest correlations were seen for mean dose to ipsilateral masseter (Spearman's rank correlation coefficient Rs = 0.25) and medial pterygoid (Rs = 0.23) muscles. Lyman-Kutcher-Burman modeling showed highest correlations for the same muscles. The best correlation for multimetric logistic regression modeling was with V68Gy to the ipsilateral medial pterygoid (Rs = 0.29). Chemoradiation-induced trismus remains a problem particularly for patients with oropharyngeal carcinoma. Strong dose-volume correlations support the hypothesis that limiting dose to the ipsilateral masseter muscle and, in particular, the medial pterygoid muscle may reduce the likelihood of trismus.

  6. Asymmetric matrices in an analysis of financial correlations

    CERN Document Server

    Kwapien, J; Górski, A Z; Oswiecimka, P

    2006-01-01

    Financial markets are highly correlated systems that reveal both the inter-market dependencies and the correlations among their different components. Standard analyzing techniques include correlation coefficients for pairs of signals and correlation matrices for rich multivariate data. In the latter case one constructs a real symmetric matrix with real non-negative eigenvalues describing the correlation structure of the data. However, if one performs a correlation-function-like analysis of multivariate data, when a stress is put on investigation of delayed dependencies among different types of signals, one can calculate an asymmetric correlation matrix with complex eigenspectrum. From the Random Matrix Theory point of view this kind of matrices is closely related to Ginibre Orthogonal Ensemble (GinOE). We present an example of practical application of such matrices in correlation analyses of empirical data. By introducing the time lag, we are able to identify temporal structure of the inter-market correlation...

  7. 强制戒毒模式下戒毒者应对方式与心理因素的相关性分析%CORRELATION ANALYSIS ON COPING STYLES AND PSYCHOLOGICAL FACTORS OF DRUG ADDICTS UNDER COMPULSORY TREATMENT

    Institute of Scientific and Technical Information of China (English)

    张婷; 杨玉祥; 刘新民; 韦克诚; 金明琦; 李桦; 徐东彪; 滕永升; 周黎红; 刘涛

    2013-01-01

    To analyze the correlation between the coping styles and their psychological factors under compulsory treatment of drug addicts, to provide information for lower relapse of drug addicts, to maintain their psychological health, and to improve their adaptability to society. Methods-. A survey of the trait coping styles of drug addicts and their psychological factors was conducted using a Self -Made General Questionnaire, Symptom Checklist 90 ( SCL - 90 ) , Trait Coping Style Questionnaire ( TCSQ) , Eysenck Personality Questionnaire ( EPQ) and the Social Support Rating Scale ( SSRS) . The trait coping styles among drug addicts and control group were compared and the correlation between the coping styles of drug addicts and their psychological factors was analyzed. Results-. ( 1) The coping styles of drug addicts were insignificantly different between the different marriage status and were gender. Male drug addicts had higher scores than the female on both positive and negative coping styles. There were differences among drug addicts with different education background in both positive and negative coping styles. ( 2) There were negative correlations between scores on positive coping style and scores of SCL -90 ( except interpersonal sensitivity factor) . There were positive correlations between scores on negative coping style and scores of SCL - 90 ( except interpersonal sensitivity factor) . ( 3) There were negative correlations between scores on positive coping style and E factor score, and positive correlations between negative coping style and N factor score. ( 4 ) Positive coping styles of drug addicts had positive correlations with scores of object support, subject supportive and the application of support. Conclusions: Coping styles are closely related to various psychological factors, and are important to the psychological health of drug addicts and their adaptability to society.%目的:了解强制戒毒模式下戒毒者的应对方式及与心理各因素

  8. One-factor model for the cross-correlation matrix in the Vietnamese stock market

    Science.gov (United States)

    Nguyen, Quang

    2013-07-01

    Random matrix theory (RMT) has been applied to the analysis of the cross-correlation matrix of a financial time series. The most important findings of previous studies using this method are that the eigenvalue spectrum largely follows that of random matrices but the largest eigenvalue is at least one order of magnitude higher than the maximum eigenvalue predicted by RMT. In this work, we investigate the cross-correlation matrix in the Vietnamese stock market using RMT and find similar results to those of studies realized in developed markets (US, Europe, Japan) [9-18] as well as in other emerging markets[20,21,19,22]. Importantly, we found that the largest eigenvalue could be approximated by the product of the average cross-correlation coefficient and the number of stocks studied. We demonstrate this dependence using a simple one-factor model. The model could be extended to describe other characteristics of the realistic data.

  9. 唐山汉族人群高血压流行病学特征及相关因素分析%Epidemiological survey of hypertension and its correlation factor analysis among Han nationality population in Tangshan

    Institute of Scientific and Technical Information of China (English)

    李卫红; 张红梅; 信佳言

    2012-01-01

    OBJECTIVE To investigate the prevalence of hypertension and related risk factors in Han nationality population in Tangshan. METHODS 4 651 residents (aged 20 years and over) were randomly sampled by cluster sampling from 8 communities , and their data were analyzed. Single factor analysis was used for the risk factor determination of hypertension. RESULTS 27.31% of residents had hypertension. Male ( 24.70% ) had lower prevalence rate of hypertension than that of females' (29.73%). Single factor analysis showed that risk factors for hypertension was sex, age, diabetes, coronary heart disease, the family history, smoking history, drinking history and obesity. CONCLUSION The prevalence rate of hypertension was high in the Tangshan residents, possibly due to different the living environment and genetic factors.%目的 了解唐山地区居民高血压患病情况及其影响因素.方法 采用整群抽样调查的方法,选取唐山市区8个社区,对20岁以上居民4 651人进行高血压患病情况调查,并对高血压患病的影响因素进行分析.结果 高血压患病率为27.31%.男性患病率(24.70%)较女性患病率(29.73%)低.单因素分析结果为,性别、年龄、糖尿病、冠心病、家族史、吸烟、饮酒和腹部肥胖为高血压的危险因素.结论 唐山汉族人群高血压患病率相对较高,可能与生活环境和基因有关.

  10. Correlation factor analysis of mental stress reaction of patients during acute burn period%烧伤急性期患者心理应激反应的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    吴孝苹; 王东; 宋中金; 孙充洲; 胥云霞; 肖晓兰; 何友德; 孙学礼

    2006-01-01

    BACKGROUND: There is often a physical and psychosocial effect in burn injury, and the degree of mental stress reaction is related to social support, individual experience and personality characteristics.OBJECTIVE: To investigate the mental stress reaction, the degree of social support and the Minnesota Multiphasic Personality Inventory (MMPI)personality characteristics in acute burn patients, and to analysis the influence factor of mental stress reaction.DESIGN: Cross-sectional study.SETTING: West China Mental Health Center of Sichuan University, Burn Department of Mianyang Municipal Central Hospital, and Burn Department of General Hospital of Panzhihua Iron and Steel Company.PARTICIPANTS: From April 2003 to April 2005, totally 104 mild, moderate or severe burn patients, including 92 males and 12 females, aged 12-60 years, selected from Mianyang Central Hospital and Department of burn of General Hospital of Panzhihua Iron & Steel Co., Ltd took part in the study.METHODS: The emotional problems and personality characteristics were measured with the Hamilton Rating Scale for Depression (HAMD), the Hamilton Rating Scale for Anxiety (HAMA), the Minnesote Multiphasic Personality Inventory (MMPI), the Social Support Rating Scale (SS) as well as general clinical data,by the rating scales 3 day after burn. The patients were divided into anxiety-depression group (n=51) and normal emotion group (n=53) according to their anxiety-depression scores (anxious score> 7,depressive score> 8), those influencing factor included burning total area,age, sex and society support, Stepwise Regression was introduced to get the main factors that influenced mental stress reaction.MAIN OUTCOME MEASURES: ① Scores of each scale and comparison of general clinical data in each group; ② stepwise regression analysis of depression and anxiety of burn patients.RESULTS: Data of Totally 104 patients was entered the final analysis. ①The scores were 10.4±2.46 and 16.8±5.94 of anxious and

  11. 异位妊娠发病相关因素及其与盆腔手术的相关性分析%Analysis the Related Factors of Ectopic Pregnancy and the Correlation with Pelvic Surgery

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

      目的:分析异位妊娠发病相关因素及其与盆腔手术的相关性。方法:随机选取80例异位妊娠与80例正常妊娠孕妇,分别为观察组与对照组,对两组进行问卷调查,对盆腔手术史、附件炎、盆腔炎、流产史、异位妊娠史、不孕史、子宫病变史以及宫内节育器放置等相关情况予以统计,比较与异位妊娠发生的相关性。结果:以上几项指标均与异位妊娠的发生具有相关性,盆腔手术是发生异位妊娠的高危因素。结论:明确发生异位妊娠的相关因素,并积极采取有效的预防措施,严格执行盆腔手术,利于降低异位妊娠发生率。%Objective:To analyse the correlation between ectopic pregnancy and pelvic surgery and the relevant factors causing ectopic pregnancy.Method:80 cases ectopic pregnancy pregnant women and 80 cases normal pregnancy pregnant women were seclected randomly,they were divide into the observation group and the control group,then made questionnaire survey of two groups and collected the relevant situation about pelvic surgery history,appendagitis,pelvic inflammatory disease,abortion history,ectopic pregnancy history,history of infertility,uterine lesions history and intrauterine device,then compared the correlation between several indexes above and the happeness of ectopic pregnancies.Result:Several indexes above all had correlation with ectopic pregnancy,pelvic surgery was risk factor of the happeness of ectopic pregnancy. Conclusion:Clear the relevant factors above about the happeness of ectopic pregnancy,and take effective measures actively,make pelvic surgery strictly can reduce the incidence rate of ectopic pregnancy.

  12. Correlation between Nerve Growth Factor (NGF with Brain Derived Neurotropic Factor (BDNF in Ischemic Stroke Patient

    Directory of Open Access Journals (Sweden)

    Joko Widodo

    2016-05-01

    Full Text Available Background: The neurotrophins nerve growth factor (NGF and brain-derived neurotrophic factor (BDNF is a family of polypeptides that play critical role during neuronal development, appear to mediate protective role on neurorepair in ischemic stroke. Naturally in adult brain neurorepair process consist of: angiogenesis, neurogenesis, and neuronal plasticity, it can also be stimulated by endogenous neurorepair. In this study we observed correlation between NGF and BDNF ischemic stroke patient’s onset: 7-30 and over 30 days. Methods: This is cross sectional study on 46 subjects aged 38 – 74 years old with ischemic stroke from The Indonesian Central Hospital of Army Gatot Subroto Jakarta. Diagnosis of ischemic stroke was made using clinical examination and magnetic resonance imaging (MRI by neurologist. Subjects were divided into 2 groups based on stroke onset: 7 – 30 days (Group A: 19 subjects and > 30 days (Group B: 27 Subjects. Serum NGF levels were measured with ELISA method and BDNF levels were measured using multiplex method with Luminex Magpix. Results: Levels of NGF and BDNF were significantly different between onset group A and B (NGF p= 0.022, and BDNF p=0.008, with mean levels NGF in group A higher than group B, indicating that BDNF levels is lower in group A than group B. There was no significant correlation between NGF and BDNF levels in all groups. Conclusion: The variations in neurotrophic factor levels reflect an endogenous attempt at neuroprotection against biochemical and molecular changes after ischemic stroke. NGF represents an early marker of brain injury while BDNF recovery is most prominent during the first 14 days after onsite but continuous for more than 30 days. There is no significant correlation between NGF and BDNF in each group.  

  13. Epidermal Growth Factor Receptor (EGFR gene copy number (GCN correlates with clinical activity of irinotecan-cetuximab in K-RAS wild-type colorectal cancer: a fluorescence in situ (FISH and chromogenic in situ hybridization (CISH analysis

    Directory of Open Access Journals (Sweden)

    Scartozzi Mario

    2009-08-01

    Full Text Available Abstract Background K-RAS wild type colorectal tumors show an improved response rate to anti-EGFR monoclonal antibodies. Nevertheless 70% to 40% of these patients still does not seem to benefit from this therapeutic approach. FISH EGFR GCN has been previously demonstrated to correlate with clinical outcome of colorectal cancer treated with anti-EGFR monoclonal antibodies. CISH also seemed able to provide accurate EGFR GCN information with the advantage of a simpler and reproducible technique involving immunohistochemistry and light microscopy. Based on these findings we investigated the correlation between both FISH and CISH EGFR GCN and clinical outcome in K-RAS wild-type colorectal cancer treated with irinotecan-cetuximab. Methods Patients with advanced K-RAS wild-type, colorectal cancer receiving irinotecan-cetuximab after failure of irinotecan-based chemotherapy were eligible. A cut-off value for EGFR GCN of 2.6 and 2.12 for FISH and CISH respectively was derived from ROC curve analysis. Results Forty-four patients were available for analysis. We observed a partial remission in 9 (60% and 2 (9% cases with a FISH EGFR GCN ≥ 2.6 and Conclusion FISH and CISH EGFR GCN may both represent effective tools for a further patients selection in K-RAS wild-type colorectal cancer treated with cetuximab.

  14. Analysis the Correlative Factors of 140 FGR With Different Gestation Ages%140例胎儿生长受限孕周及相关因素分析

    Institute of Scientific and Technical Information of China (English)

    肖静; 朱付凡

    2011-01-01

    Objective;To discuss the correlative factors of fetal growth restriction before and/or after 32-weeks, S/D ratio, delivery time and routine, and fetal outcomes. Methods; 140 cases diagnosed as FGR from September 2009 to August 2010 in our hospital were retrospectively reviewed and divided into two groups:32 weeks group. Results;The major correlative factors in ≤32 weeks group were gestational hypertension, medical complications, placental factors. The major correlative factors in >32 weeks group were gestational hypertension, umbilical cord factors. Compared with the >32 weeks group, the delivery age, neonatal score and birth weight in the =£32 weeks group were lower(Pfactors. Because of its late onset in pregnancy, fetal survival rate is high.%目的:探讨32孕周前后胎儿生长受限(FGR)的主要相关因素、脐血流收缩期最大血流速度/舒张期末血流速度的比值(S/D)、终止妊娠的时间、方法以及对围生儿结局的影响.方法:采用回顾性分析方法,收集2009年9月至2010年8月出生的140例FGR患儿母亲的临床资料,将其分为>32孕周组和≤32孕周组,并对两组资料进行分析.结果:≤32孕周组主要相关因素为妊娠期高血压疾病、内科合并症、胎盘因素;>32孕周组主要相关因素为妊娠期高血压疾病、脐带因素.≤32孕周组分娩孕周、新生儿评分、新生儿体重均低于>32孕周组(P<0.05),而围生儿总死亡率、S/D阳性率、早产率高于>32孕周组(P<0.05).结论:≤32孕周的FGR具有高并发症

  15. The Manifest Association Structure of the Single-Factor Model: Insights from Partial Correlations

    Science.gov (United States)

    Salgueiro, Maria de Fatima; Smith, Peter W. F.; McDonald, John W.

    2008-01-01

    The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of…

  16. Handwriting: Feature Correlation Analysis for Biometric Hashes

    Directory of Open Access Journals (Sweden)

    Ralf Steinmetz

    2004-04-01

    Full Text Available In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation, the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.

  17. The Analysis of Correlated Factors of Mental Stress on 498 Medical Staff%498名医务人员心理应激相关影响因素分析

    Institute of Scientific and Technical Information of China (English)

    王晓妹; 王章泽; 江燕; 王校

    2012-01-01

    目的 探讨医务人员心理应激的相关因素.方法 采用整体随机抽样的方法选取498名医务人员为调查对象,运用自编个人基本信息调查表、症状自评量表、团体用心理社会应激调查表等工具对其进行问卷调查.应用Pearson与Spearman相关分析和二分类Logistic回归分析等统计方法进行分析.结果 医务人员心理应激水平与性别、年龄、学历、医院级别、职业工种、职称、SCL-90总分及各因子分之间呈显著相关关系;Logistic回归分析显示,有统计学意义的变量包括职称、恐怖、精神病性.结论 医务人员心理应激受年龄、医院级别、职称、恐怖、精神病性的影响,为了提高医务人员心理应激适应能力,应将上述因素纳入医疗应激管理体系之中.%Objectives To explore the correlated factors of mental stress of the medical staff. Methods This research used basic personal information questionnaire, symptom checklist 90 (SCL-90) and psychosocial stress survey for group (PSSG) to survey 498 medical staff. Results The mental stress levels of the medical staff were significantly correlated to gender, age, education, hospital-level, professional types of work, professional title, SCL-90 total score and it's sub-factors; The logistic regression showed that age, hospital-level, professional title, phobia and psychosis had statistical significance. Conclusions Factors such as age, hospital-level, professional title, phobi-a and psychosis can influence the mental stress of medical staff, and in order to improve mental stress adaptability of medical staff, we should brought these factors into stress management system of medical affairs.

  18. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

    Philip G Dinning; Mike Jones; Linda Hunt; Sergio E Fuentealba; Jamshid Kalanter; Denis W King; David Z Lubowski; Nicholas J Talley; Ian J Cook

    2011-01-01

    AIM: To determine whether distinct symptom groupings exist in a constipated population and whether such grouping might correlate with quantifiable pathophysiological measures of colonic dysfunction. METHODS: One hundred and ninety-one patients presenting to a Gastroenterology clinic with constipation and 32 constipated patients responding to a newspaper advertisement completed a 53-item, wide-ranging selfreport questionnaire. One hundred of these patients had colonic transit measured scintigraphically. Factor analysis determined whether constipation-related symptoms grouped into distinct aspects of symptomatology. Cluster analysis was used to determine whether individual patients naturally group into distinct subtypes. RESULTS: Cluster analysis yielded a 4 cluster solution with the presence or absence of pain and laxative unresponsiveness providing the main descriptors. Amongst all clusters there was a considerable proportion of patients with demonstrable delayed colon transit, irritable bowel syndrome positive criteria and regular stool frequency. The majority of patients with these characteristics also reported regular laxative use. CONCLUSION: Factor analysis identified four constipation subgroups, based on severity and laxative unresponsiveness, in a constipated population. However, clear stratification into clinically identifiable groups remains imprecise.

  19. 支气管哮喘患者血清瘦素水平的影响因素%Analysis of correlative factors of serum leptin levels in asthmatic patients

    Institute of Scientific and Technical Information of China (English)

    梁瀛; 王娟; 常春; 阿曼妮萨·图尔荪托合提; 孙永昌; 贺蓓; 姚婉贞

    2016-01-01

    目的 分析支气管哮喘(简称哮喘)患者血清瘦素水平的影响因素.方法 前瞻性、连续入组从2014年4月至2015年12月在北京大学第三医院呼吸内科门诊就诊的哮喘患者78例(哮喘组),同期健康体检者29名(对照组).通过酶联免疫吸附(ELISA)法测定血清瘦素水平.记录哮喘组患者性别、体质指数(BMI)、起病年龄、过敏原检测结果、诱导痰细胞计数及分类、肺功能及哮喘控制水平等,根据上述因素分别对哮喘组进行亚分组,比较不同组间血清瘦素水平的差异.结果 哮喘组与对照组的血清瘦素水平差异无统计学意义[(15.0±10.4)比(15.2±11.7) μg/L,P=0.939].女性哮喘患者血清瘦素水平显著高于男性[(18.2±10.7)比(7.9±4.8)μg/L,P<0.001];肥胖的哮喘患者血清瘦素水平显著高于超重患者、BMI正常患者、消瘦患者、对照组[(29.7±10.8)比(17.1±11.1)、(11.8±7.7)、(9.1±0.96)、(15.2±11.7) μg/L](均P<0.01).女性哮喘患者血清瘦素水平与诱导痰嗜酸粒细胞百分数呈正相关(r=0.331,P=0.032).起病年龄、过敏原检测阳性、是否存在气流受限、哮喘控制水平等不影响血清瘦素水平.结论 性别和BMI是影响哮喘患者血清瘦素水平的重要因素.%Objective To analysis the correlative factors that probably affect serum leptin levels in asthmatic patients.Methods Seventy-eight patients with asthma and 29 health controls who were admitted into outpatient clinic of Peking University Third Hospital from April 2014 to December 2015 were consecutively enrolled in our study prospectively.Serum leptin level was measured by enzyme-linked immunosorbent assay (ELISA).The sex,body mass index (BMI),onset age of asthma,allergen detection test,induced sputum cell count and classification,lung function test and asthma control level were recorded.Asthmatic patients were further divided into groups according to these factors and serum leptin levels were compared among

  20. Correlation-factor analysis on malnutrition and obesity in students of one middle school in Chongqing%重庆市某中学学生营养不良和肥胖的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    赵梅; 赵勇; 罗健; 刘平

    2005-01-01

    MEASURES: [1] Morbidity of malnutrition and obesity in middle-school students. [2] Factors of malnutrition and obesity in middle-school students.RESULTS: Totally 826 students entered result analysis. [1] Morbidity of malnutrition and obesity: it was 9.44% and 24.21% respectively, in which,the morbidity of malnutrition.for female was higher than male [4.84%,14.08% (x2=15.1036, P < 0.05)] and the morbidity of obesity in male was higher than female [30.09%, 18.2% (x2=10.5737, P < 0.05)]. [2] Factors of malnutrition and obesity: significant correlation was present between malnutrition and 5 factors, named sex, indulgence in or being choosy food,sleeping time, breakfast and animal internal organs (P < 0.05-0.01). Significant correlation was present between obesity and 5 factors, named sex,body mass index of father, eating velocity, midnight snack and indulgence in or being choosy food (P < 0.05-0.01).CONCLUSION: It is discovered in the investigation that the morbidity of malnutrition and obesity in middle-school students are very high and that is all closely related to sex and indulgence in or being choosy food. In order to correct malnutrition and obesity in middle-school students, it is necessary to provide correct nutritional knowledge and help them arranging diet rationally and establishing healthy life pattern.%背景:中学生在生长发育过程中可同时具有营养不良和营养过剩两类问题.目的:了解中学生的营养不良和肥胖情况及其相关的影响因素.设计:横断面调查.单位:重庆市卫生局卫生监督所、重庆医科大学营养与食品卫生学教研室及重庆市第八中学.对象:于2004-03/05采取整群抽样法抽取重庆市沙坪坝区某中学15个班级的全日制学生896人,排除患遗传性代谢性疾病、有外伤或其他疾病引起的继发性、病理性营养不良或肥胖者,均知情同意.其中826人填写的问卷内容详实(有效率达92.19%),男生414人,女生412人,年龄13~18岁.

  1. Studies on the Correlations Between Isoflavone Contents in Soybean Seed and the Eco-Physiological Factors

    Institute of Scientific and Technical Information of China (English)

    LI Wei-dong; LIANG Hui-zhen; LU Wei-guo; WANG Shu-feng; YANG Qing-chun; YANG Cai-yun; LIU Ya-fei

    2004-01-01

    The soybean cultivar Yudou25 was sown at 5 locations of Henan Province on 13 different dates in 2001 and 2002. The data of isoflavone contents for the 109 samples of soybean seed and 33 eco-physiological factors including meteorological factors, soil nutrition and altitudes were received and used for statistical analysis. The step-wise regression was used to screen the correlated factors, which significantly effected isoflavone contents. Results showed that 9 eco-physiological factors were highly correlated with isoflavones. Low mean temperature, high diurnal temperature range at seed filling and maturity, more sunlight hours and low mean temperature at emergence were favorable to isoflavone accumulation. The rainfall at emergence showed a nonlinear relationship with isoflavone content and its optimum value was 75 mm for isoflavone formation. Low diurnal temperature range at branching, high organic matter and low sulfur content in soil were suitable for the formation of isoflavones. The isoflavone contents would not be affected by other eco-physiological factors in this study.

  2. An easy guide to factor analysis

    CERN Document Server

    Kline, Paul

    2014-01-01

    Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, a

  3. Multifractal cross-correlation analysis in electricity spot market

    Science.gov (United States)

    Fan, Qingju; Li, Dan

    2015-07-01

    In this paper, we investigate the multiscale cross-correlations between electricity price and trading volume in Czech market based on a newly developed algorithm, called Multifractal Cross-Correlation Analysis (MFCCA). The new algorithm is a natural multifractal generalization of the Detrended Cross-Correlation Analysis (DCCA), and is sensitive to cross-correlation structure and free from limitations of other algorithms. By considering the original sign of the cross-covariance, it allows us to properly quantify and detect the subtle characteristics of two simultaneous recorded time series. First, the multifractality and the long range anti-persistent auto-correlations of price return and trading volume variation are confirmed using Multifractal Detrended Fluctuation Analysis (MF-DFA). Furthermore, we show that there exist long-range anti-persistent cross-correlations between price return and trading volume variation by MFCCA. And we also identify that the cross-correlations disappear on the level of relative small fluctuations. In order to obtain deeper insight into the dynamics of the electricity market, we analyze the relation between generalized Hurst exponent and the multifractal cross-correlation scaling exponent λq. We find that the difference between the generalized Hurst exponent and the multifractal cross-correlation scaling exponent is significantly different for smaller fluctuation, which indicates that the multifractal character of cross-correlations resembles more each other for electricity price and trading volume on the level of large fluctuations and weakens for the smaller ones.

  4. Sensitivity analysis of a sound absorption model with correlated inputs

    Science.gov (United States)

    Chai, W.; Christen, J.-L.; Zine, A.-M.; Ichchou, M.

    2017-04-01

    Sound absorption in porous media is a complex phenomenon, which is usually addressed with homogenized models, depending on macroscopic parameters. Since these parameters emerge from the structure at microscopic scale, they may be correlated. This paper deals with sensitivity analysis methods of a sound absorption model with correlated inputs. Specifically, the Johnson-Champoux-Allard model (JCA) is chosen as the objective model with correlation effects generated by a secondary micro-macro semi-empirical model. To deal with this case, a relatively new sensitivity analysis method Fourier Amplitude Sensitivity Test with Correlation design (FASTC), based on Iman's transform, is taken into application. This method requires a priori information such as variables' marginal distribution functions and their correlation matrix. The results are compared to the Correlation Ratio Method (CRM) for reference and validation. The distribution of the macroscopic variables arising from the microstructure, as well as their correlation matrix are studied. Finally the results of tests shows that the correlation has a very important impact on the results of sensitivity analysis. Assessment of correlation strength among input variables on the sensitivity analysis is also achieved.

  5. Bacteriuria after bipolar transurethral resection of the prostate: risk factors and correlation with leukocyturia.

    Science.gov (United States)

    Huang, Xing; Shi, Hong-Bo; Wang, Xing-Huan; Zhang, Xue-Jun; Chen, Bin; Men, Xiao-Wei; Yu, Zhi-Yun

    2011-05-01

    To analyze the risk factors of postoperative bacteriuria and the correlation with leukocyturia after bipolar transurethral resection of the prostate (TURP). A total of 121 noncatheterized patients with sterile preoperative urine undergoing bipolar TURP for benign prostatic hyperplasia (BPH) were entered into the prospective study. All patients received antibiotic prophylaxis with ceftriaxone. Two urine specimens of each patient, one for urinalysis (urinary leukocyte count) and one for urine culture, were collected on removal of the catheter, 1 and 4 weeks after surgery. The risk factors of postoperative bacteriuria and correlation with leukocyturia were investigated. The incidence of bacteriuria after bipolar TURP was 18.2% (22/121). Multivariate analysis documented 3 independent risk factors of postoperative bacteriuria: operating time >60 minutes (P = .014), duration of catheterization >3 days(P = .001), and disconnection of the closed urine drainage system (P bacteriuria were 323.9 and 297.6/μL, respectively (P >.05). There was no significant correlation between bacteriuria and leukocyturia (>10 leukocytes/high power field (P >.05). The results of our study have shown that the operating time, duration of catheterization, and disconnection of the closed urine drainage system may influence the occurrence of bacteriuria after bipolar TURP, and leukocyturia cannot reflect the possibility of postoperative bacteriuria. Copyright © 2011 Elsevier Inc. All rights reserved.

  6. Variation of correlations between factors and culturable airborne bacteria and fungi

    Science.gov (United States)

    Gao, Min; Yan, Xu; Qiu, Tianlei; Han, Meilin; Wang, Xuming

    2016-03-01

    Bioaerosols, including their characteristics and overall changes correlated with environmental factors, have the potential to impact human health and influence atmospheric dynamics. In this study, the varying interrelationship between the concentration and diameter of culturable bioaerosols and twelve factors including PM2.5 (AQI), PM10 (AQI), sampling time, sampling season, temperature, relative humidity, dew, pressure, wind, O3, NO2, and SO2 is determined for twelve months during non-haze and haze days in Beijing. Results of principal component analysis (PCA) indicated that the influence of factors on culturable bioaerosols is mainly associated with haze levels, sampling time, and season. Multiple linear regressions showed that the correlation between PM10 (AQI) or temperature and culturable bioaerosols varied at different haze levels. The seasonal influence of PM2.5 (AQI) was observed in culturable bioaerosol concentrations, but not their diameters. A temporal relationship between PM10 (AQI) and culturable bioaerosol concentration was detected during rush hour. SO2 and NO2 show positive and negative correlations with culturable bioaerosol concentrations in the morning/evening and mid-day, respectively. These results are useful for accurately evaluating the health effects of exposure to bioaerosols.

  7. Correlation of climatic factors and dengue incidence in Metro Manila, Philippines.

    Science.gov (United States)

    Su, Glenn L Sia

    2008-06-01

    Dengue is a serious public health problem in Metro Manila, Philippines. Increasing dengue incidence has been attributed to climate change; however, contradicting reports show inconclusive relationships between dengue and climatic factors. This study investigates temperature and rainfall as climatic factors affecting dengue incidence in Metro Manila from 1996 to 2005. Monthly dengue incidence and climatic data for Metro Manila were collected over a 10-y period (1996-2005). Climatic factors temperature and rainfall were linked with dengue incidence through regression analysis. A predictive model equation plots dengue incidence (Y) versus rainfall (X), which suggests that rainfall is significantly correlated to dengue incidence (r2 = 0.377, p 0.05). Evidence shows dengue incidence in Metro Manila varies with changing rainfall patterns. Intensified surveillance and control of mosquitoes during periods with high rainfall are recommended.

  8. 临床孤立综合征转归为视神经脊髓炎的相关因素分析%Correlative factor analysis for clinically isolated syndrome turning to neuromyelitis optica

    Institute of Scientific and Technical Information of China (English)

    郭海霞; 张美妮; 郝洪军

    2012-01-01

    median of 3. 0 years, and inter-quartile range of 4. 6 years. 46 and 29 CIS patients developed into NMO and MS, respectively, and the others were still classified as CIS including 24 with transverse myelitis (TM) and 10 with optic neuritis (ON). (2) The serum AQP4-Ab level in the NMO group was significantly higher than that in other groups (the MS group, the TM group and the ON group) and the normal control group (P< 0.05). (3) AQP4-Ab positive rate was 63.03% (29/46) in the NMO group, which was higher than that in the MS group (13. 79%, 4/29), the TM group (29.17%, 7/24), and the ON group (20.00%, 2/10), and the above differences were statistically significant (P < 0. 05, respectively). (4) Multifactor analysis indicated that brain NMO typical lesions and longitudinal spjrial lesions, EDSS, serum AQP4-Ab positive were correlative factors of CIS turning to NMO. Conclusions AQP4-Ab positive, brain NMO typical lesions, typical spinal cord injury> 3 segments and EDSS are valuable to predict CIS turning to NMO.

  9. Are "g" and the General Factor of Personality (GFP) Correlated?

    Science.gov (United States)

    Irwing, Paul; Booth, Tom; Nyborg, Helmuth; Rushton, J. Philippe

    2012-01-01

    We examined whether the General Factor of Personality (GFP) is related to the "g" factor of cognitive ability using data from the Vietnam Experience Study which randomly sampled 4462 Vietnam War veterans from a total sample of about five million Vietnam era army veterans. Exclusionary criteria included passing a fitness test, achieving a…

  10. Correlation between the state of periodontal tissues and selected risk factors for periodontitis and myocardial infarction.

    Science.gov (United States)

    Górska, Renata; Dembowska, Elżbieta; Konopka, Tomasz P; Wysokińska-Miszczuk, Joanna; Pietruska, Małgorzata; Ganowicz, Ewa

    2017-01-01

    The current level of knowledge indicates a relationship between periodontitis and diabetes and/or cardiovascular diseases (CVD). Periodontitis can be not only a risk factor for these diseases, but also a condition modifying other primary risk factors associated with the occurrence of cardiovascular complications (lipid disorders, arterial hypertension, etc.) or diabetes. The aim of the study was an analysis of the correlation between the state of periodontal tissues and selected risk factors for myocardial infarction (MI) in patients after recent myocardial infarction. The study included 417 patients (92 women, 325 men) hospitalized due to recent MI. The inclusion criteria were MI history and age below 70 years. The state of periodontal tissues (plaque index, bleeding on probing, pocket depth and clinical attachment loss, CPI index) and selected risk factors for periodontitis and CVD were recorded. An analysis of the results showed no statistically significant correlation between the depth, the number, percentage of periodontal pockets and the average clinical attachment level on one hand and BMI on the other hand. Whereas a statistically significant correlation was observed between tobacco smoking and the degree of severity of periodontal diseases measured by the average pocket depth, the number and percentage of pockets above 4 mm and the average clinical attachment loss, as well as between hypertension and the state of oral hygiene and between diabetes and the number of preserved teeth and the number of pockets above 4 mm. The degree of severity of periodontal disease can impact hypertension and diabetes, which could potentially influence the occurrence and course of CVD.

  11. Correlation Analysis between Landscape Characteristics of Ecotourism Vegetation and Geographical Factors in Putuo Mountain%从生态旅游植被景观特征分析普陀山旅游对植被的影响

    Institute of Scientific and Technical Information of China (English)

    李军玲; 张金屯

    2011-01-01

    Ecotourism is a new-style tour which has been developed with the adaptation to people's desire for returning to the nature and protecting environment during the 20th century. As a green tour, ecotourism has drawn world' s attention since its beginning. Currently it is becoming one of the main trends in tourism development in the 21st century. In this thesis, the ecological impacts of ecotourism on environments were studied in both theory and practice. The author tried to put forward the China-special ecotourism, and then study its ecological impacts through quantitative ecological methods. At last, several suitable suggestions for tour developers and managers were raised. Vegetation landscapes were not only important scenic resources, but also levers of harmonizing their ecological balance. So it was important to study the relationship between tourism and vegetation environment in the nature reserve. The relationship between landscape characteristics of tourist vegetation and geographical factors was analyzed in this paper. By this study, we can compare the impact of physical geographical factors with that of human geographical factors on vegetation landscape characteristics, and realized the rule of tourism on vegetation landscape. The result showed that elevation was only correlated evidently to landscape characteristics. The width of tourist road was correlated evidently to landscape important value, tourism influencing index, vegetation layer cover. Physical environment had little effect on tourist vegetation landscape compared to human geographical factor. In addition, the correlationbetween proportions in community structure, proportion of species companying with human being and geographical factor showed that it can not reflect ecological environment as a good evaluation standard.%通过实地取样,选取植被景观特征指标,分析普陀山旅游植被景观特征与地理因子的关系.结果表明,在自然地理因子中,海拔和植被景观特征

  12. Factors Correlated with the Interactional Diversity of Community College Students

    Science.gov (United States)

    Jones, Willis A.

    2016-01-01

    This study used data from the Community College Survey of Student Engagement (CCSSE) to examine how student background characteristics, student engagement, and institutional characteristics correlate with the frequency of interactional diversity among community college students. Given the current lack of research on interactional diversity among…

  13. Canonical correlation analysis for gene-based pleiotropy discovery.

    Directory of Open Access Journals (Sweden)

    Jose A Seoane

    2014-10-01

    Full Text Available Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy and for testing multiple variants for association with a single phenotype (gene-based association tests. Such approaches can increase statistical power by combining evidence for association over multiple phenotypes or genetic variants respectively. Canonical Correlation Analysis (CCA measures the correlation between two sets of multidimensional variables, and thus offers the potential to combine these two approaches. To apply CCA, we must restrict the number of attributes relative to the number of samples. Hence we consider modules of genetic variation that can comprise a gene, a pathway or another biologically relevant grouping, and/or a set of phenotypes. In order to do this, we use an attribute selection strategy based on a binary genetic algorithm. Applied to a UK-based prospective cohort study of 4286 women (the British Women's Heart and Health Study, we find improved statistical power in the detection of previously reported genetic associations, and identify a number of novel pleiotropic associations between genetic variants and phenotypes. New discoveries include gene-based association of NSF with triglyceride levels and several genes (ACSM3, ERI2, IL18RAP, IL23RAP and NRG1 with left ventricular hypertrophy phenotypes. In multiple-phenotype analyses we find association of NRG1 with left ventricular hypertrophy phenotypes, fibrinogen and urea and pleiotropic relationships of F7 and F10 with Factor VII, Factor IX and cholesterol levels.

  14. Survey and analysis of correlative factors on job satisfaction in psychiatric nurses%精神科护士工作满意度的调查与相关因素分析

    Institute of Scientific and Technical Information of China (English)

    李英丽; 邵静; 许冬梅; 赵丽俊

    2009-01-01

    Objective To investigate the related factors of nurses'job satisfaction degree and the correlation between job satisfaction and professional values by observing the status of work satisfaction and professional values in the psychiatric nurses.Methods In present study,240 psychiatric nurses were enrolled,the status of work satisfaction and professional values were assessed by nurses work satisfaction scale and nursing professional values scale respectively.Results The job satisfaction of the psychiatric nurses Was at middle-level,the related factors of job satisfaction involved in positions,types of employment(contract or formal nurse)and professional values.Furthermore,the professional values was,correlated with job satisfaction significantly(P<0.05).Conclusions Positions,types of employment and professional values might affect job satisfaction markedly in psychiatric nurses.Nursing administrators should pay more attention to training psychiatric nurses for professional values.%目的 了解影响精神科护士工作满意度的相关因素及其与职业价值观的相互关系.方法 采用护士职业价值观量表和护士工作满意度量表,对某三级甲等精神专科医院204名护理人员的职业价值观、工作满意度进行调查.结果 被调查者工作满意度为中等水平;影响精神科护士工作满意度的因素有职务、就业类型(合同护士或正式护士)和职业价值观,其中职业价值观量表评分与护士工作满意度显著正相关(P<0.05).结论 不同职务、就业类型和职业价值观对精神科护士的工作满意度影响明显;护理管理者应重视护士职业价值观的教育.

  15. Correlation and principal component analysis in ceramic tiles characterization

    Directory of Open Access Journals (Sweden)

    Podunavac-Kuzmanović Sanja O.

    2015-01-01

    Full Text Available The present study deals with the analysis of the characteristics of ceramic wall and floor tiles on the basis of their quality parameters: breaking force, flexural strenght, absorption and shrinking. Principal component analysis was applied in order to detect potential similarities and dissimilarities among the analyzed tile samples, as well as the firing regimes. Correlation analysis was applied in order to find correlations among the studied quality parameters of the tiles. The obtained results indicate particular differences between the samples on the basis of the firing regimes. However, the correlation analysis points out that there is no statistically significant correlation among the quality parameters of the studied samples of the wall and floor ceramic tiles.[Projekat Ministarstva nauke Republike Srbije, br. 172012 i br. III 45008

  16. The factors that have correlation with student behavior to dispose liquid waste

    Science.gov (United States)

    Kusmawaningtyas, Rieneke; Darmajanti, Linda; Soesilo, Tri Edhi Budhi

    2017-03-01

    Students majoring in chemistry could produce toxic liquid waste in their laboratory practices. They are not allowed to dispose of hazardous laboratory liquid into the environment. The formulation of problem in this study is that not all students have good behavior to dispose liquid waste properly according to their type and chemical properties while it is expected that all students have good behavior to dispose liquid waste with the type and chemical properties in container vessel, even though all students are expected to have behavior to dispose waste in the container vessel with the support of the predisposing factors, enabling factors, and driving factors. The aim of this study is to analyze the type and chemical properties of liquid waste and the relationship between three factors forming behavior with student behavior. The relationship between three factors forming behavior with student behavior was analyzed by correlative analysis. Type and chemical properties known through observation and qualitative analysis. The results of this research is found that enabling factors and driving behavior have a weak relation with student behavior. Nevertheless, predisposing factors has no relation with student behavior. The result of analysis of waste laboratory are known that laboratory liquid waste contains Cu, Fe, and methylene blue which potentially pollute the environment. The findings show that although generally the laboratory use chemicals in small quantities, but the total quantity of laboratory liquid waste produced from all laboratories in some regions must be considered. Moreover, the impact of the big quantity of liquid waste to environment must be taken into account. Thus, it is recommended that students should raise awareness of the risks associated with laboratory liquid waste and, we should provide proper management for a laboratory and policy makers.

  17. 颌面创伤住院患者心理状况及影响因素%Analysis of mental health and correlative factors of maxillofacial traumatic inpatients

    Institute of Scientific and Technical Information of China (English)

    薄斌; 周树夏; 顾晓明; 刘旭峰

    2001-01-01

    目的 分析颌面创伤住院患者的心理状态及其影响因素,为医护人员进行医疗预防和康复工作提供参考. 方法 采用SCL-90(Symptom check li st-90)症状自评量表和自制的心理卫生相关因素调查表,对我院1998- 10/1999-09,126例颌面创伤住院患者进行心理测试. 结果 颌面创伤患 者SCL-90总分平均(154±62)分. 阳性项数目平均为(32±25)分,显著高于国内常模(P<0.01). 颌面创伤住院患者SCL-90各因子分均显著高于国内常模(P<0.01). 按显著性高低排列,前4位的分别为抑郁、焦虑、恐怖和精神病性. 颌面创伤患者SCL-90总均分级别构成符合正态分布. 结论 颌 面创伤住院患者的心理健康水平显著低于正常人群.创伤事件和医源性应激是影响患者心身 健康的两个主要原因.%AIM To analyze the mental health level and the correlative factors of maxillofacial traumatic inpatients. METHODS Symptom check li st-90 (SCL-90) and the correlative factor inquiry list were finished by 126 ma xillofacial traumatic inpatients of our hospital from 10/1998 to 09/ 1999. RESULTS Total mark of SCL-90 was 154±62. The number of symptomatic items was 32±25, which was higher than that of domestic norm (P<0.01). The every factor mark of SCL-90 was also higher than that of domestic norm (P<0.01). The former f our factors were melancholy, anxiety, horror and psychosis. The constitution of inpa tients showed the normal distribution at the level of total mark of SCL-90. CO NCLUSION Mental health level of maxillofacial traumatic inpatients is l ower than that of normal people. The mental handcap is caused by traumatic event and nosocomial stress.

  18. On the correlation analysis of electric field inside jet engine

    OpenAIRE

    A Krishna; Khattab, T.; Abdelaziz, A.F.; Guizani, M.

    2014-01-01

    A Simple channel modeling method based on correlation analysis of the electric field inside jet engine is presented. The analysis of the statistical propagation characteristics of electromagnetic field inside harsh jet engine environment is presented by using `Ansys® HFSS'. In this paper, we propose a method to locate the best position for receiving probes inside jet engine with minimum correlation between the receiver points which have strong average electric field. Moreover, a MIMO system c...

  19. 140例突发性耳聋患者疗效相关因素的分析%Analysis of effect-correlating factors in 140 patients with sudden deafness

    Institute of Scientific and Technical Information of China (English)

    宋培荣; 林文森; 石志兴; 马恩明

    2012-01-01

    [目的]探讨影响突发性耳聋预后的相关因素.[方法]系统回顾了本科自2007-2010年收治的140例(142耳)突发性耳聋患者的资料.分析突发性耳聋的预后与年龄、初诊时间、治疗前的听力程度、伴发眩晕、耳鸣的关系.[结果]年龄越大,疗效越差;就诊治疗越早,疗效越好;听力损失越重,疗效越差;伴有眩晕症状者,疗效差;伴发耳鸣对突发性耳聋疗效影响不明显.[结论]了解影响突发性耳聋的疗效影响因素,为突发性耳聋的治疗及判断预后提供一定的依据.%[Objective] To explore the correlating factors influencing the prognosis of sudden deafness. [Methods] Data form 140 patients (142 ears) admitted in 2007 to 2010 were systematic reviewed. Relationship between prognosis of sudden deafness and age, time before therapy, residual acoustic sensibility, coexisting dizziness and bombus was analyzed. [Results] The more elder, the therapeutic effect was less; the more earlier the patients were diagnosed, and the therapeutic effect was better; the more serious of hearing losing, the therapeutic effect was less; coexisting dizziness accompanied poor effect; coexisting bombus showed no significant influence. [Conclusion] Understanding the factors influencing the therapeutic effect of sudden deafness can provide the basis for the therapy and prognosis.

  20. Multiscale Detrended Cross-Correlation Analysis of STOCK Markets

    Science.gov (United States)

    Yin, Yi; Shang, Pengjian

    2014-06-01

    In this paper, we employ the detrended cross-correlation analysis (DCCA) to investigate the cross-correlations between different stock markets. We report the results of cross-correlated behaviors in US, Chinese and European stock markets in period 1997-2012 by using DCCA method. The DCCA shows the cross-correlated behaviors of intra-regional and inter-regional stock markets in the short and long term which display the similarities and differences of cross-correlated behaviors simply and roughly and the persistence of cross-correlated behaviors of fluctuations. Then, because of the limitation and inapplicability of DCCA method, we propose multiscale detrended cross-correlation analysis (MSDCCA) method to avoid "a priori" selecting the ranges of scales over which two coefficients of the classical DCCA method are identified, and employ MSDCCA to reanalyze these cross-correlations to exhibit some important details such as the existence and position of minimum, maximum and bimodal distribution which are lost if the scale structure is described by two coefficients only and essential differences and similarities in the scale structures of cross-correlation of intra-regional and inter-regional markets. More statistical characteristics of cross-correlation obtained by MSDCCA method help us to understand how two different stock markets influence each other and to analyze the influence from thus two inter-regional markets on the cross-correlation in detail, thus we get a richer and more detailed knowledge of the complex evolutions of dynamics of the cross-correlations between stock markets. The application of MSDCCA is important to promote our understanding of the internal mechanisms and structures of financial markets and helps to forecast the stock indices based on our current results demonstrated the cross-correlations between stock indices. We also discuss the MSDCCA methods of secant rolling window with different sizes and, lastly, provide some relevant implications and

  1. Model independent analysis of nearly L\\'evy correlations

    CERN Document Server

    Novák, T; Eggers, H C; de Kock, M

    2016-01-01

    A model-independent method for the analysis of the two-particle short-range correlations is presented, that can be utilized to describe e.g. Bose-Einstein (HBT), dynamical (ridge) or other correlation functions, that have a nearly L\\'evy or streched exponential shape. For the special case of L\\'evy exponent alpha = 1, the earlier Laguerre expansions are recovered, for the alpha = 2 special case, a new expansion method is obtained for nearly Gaussian correlation functions. Multi-dimensional L\\'evy expansions are also introduced and their potential application to analyze rigde correlation data is discussed.

  2. Auto-correlation of journal impact factor for consensus research reporting statements: a cohort study

    Directory of Open Access Journals (Sweden)

    Daniel R. Shanahan

    2016-03-01

    Full Text Available Background. The Journal Citation Reports journal impact factors (JIFs are widely used to rank and evaluate journals, standing as a proxy for the relative importance of a journal within its field. However, numerous criticisms have been made of use of a JIF to evaluate importance. This problem is exacerbated when the use of JIFs is extended to evaluate not only the journals, but the papers therein. The purpose of this study was therefore to investigate the relationship between the number of citations and journal IF for identical articles published simultaneously in multiple journals. Methods. Eligible articles were consensus research reporting statements listed on the EQUATOR Network website that were published simultaneously in three or more journals. The correlation between the citation count for each article and the median journal JIF over the published period, and between the citation count and number of article accesses was calculated for each reporting statement. Results. Nine research reporting statements were included in this analysis, representing 85 articles published across 58 journals in biomedicine. The number of citations was strongly correlated to the JIF for six of the nine reporting guidelines, with moderate correlation shown for the remaining three guidelines (median r = 0.66, 95% CI [0.45–0.90]. There was also a strong positive correlation between the number of citations and the number of article accesses (median r = 0.71, 95% CI [0.5–0.8], although the number of data points for this analysis were limited. When adjusted for the individual reporting guidelines, each logarithm unit of JIF predicted a median increase of 0.8 logarithm units of citation counts (95% CI [−0.4–5.2], and each logarithm unit of article accesses predicted a median increase of 0.1 logarithm units of citation counts (95% CI [−0.9–1.4]. This model explained 26% of the variance in citations (median adjusted r2 = 0.26, range 0.18–1.0. Conclusion

  3. Auto-correlation of journal impact factor for consensus research reporting statements: a cohort study.

    Science.gov (United States)

    Shanahan, Daniel R

    2016-01-01

    Background. The Journal Citation Reports journal impact factors (JIFs) are widely used to rank and evaluate journals, standing as a proxy for the relative importance of a journal within its field. However, numerous criticisms have been made of use of a JIF to evaluate importance. This problem is exacerbated when the use of JIFs is extended to evaluate not only the journals, but the papers therein. The purpose of this study was therefore to investigate the relationship between the number of citations and journal IF for identical articles published simultaneously in multiple journals. Methods. Eligible articles were consensus research reporting statements listed on the EQUATOR Network website that were published simultaneously in three or more journals. The correlation between the citation count for each article and the median journal JIF over the published period, and between the citation count and number of article accesses was calculated for each reporting statement. Results. Nine research reporting statements were included in this analysis, representing 85 articles published across 58 journals in biomedicine. The number of citations was strongly correlated to the JIF for six of the nine reporting guidelines, with moderate correlation shown for the remaining three guidelines (median r = 0.66, 95% CI [0.45-0.90]). There was also a strong positive correlation between the number of citations and the number of article accesses (median r = 0.71, 95% CI [0.5-0.8]), although the number of data points for this analysis were limited. When adjusted for the individual reporting guidelines, each logarithm unit of JIF predicted a median increase of 0.8 logarithm units of citation counts (95% CI [-0.4-5.2]), and each logarithm unit of article accesses predicted a median increase of 0.1 logarithm units of citation counts (95% CI [-0.9-1.4]). This model explained 26% of the variance in citations (median adjusted r (2) = 0.26, range 0.18-1.0). Conclusion. The impact factor of the

  4. Linear analysis of degree correlations in complex networks

    Indian Academy of Sciences (India)

    JU XIANG; TAO HU; YAN ZHANG; KE HU; YAN-NI TANG; YUAN-YUAN GAO; KE DENG

    2016-12-01

    Many real-world networks such as the protein–protein interaction networks and metabolic networks often display nontrivial correlations between degrees of vertices connected by edges. Here, we analyse the statistical methods used usually to describe the degree correlation in the networks, and analytically give linear relation in the degree correlation. It provides a simple and interesting perspective on the analysis of the degree correlation in networks, which is usefully complementary to the existing methods for degree correlation in networks. Especially, the slope in the linear relation corresponds exactly to the degree correlation coefficient in networks, meaning that it can not only characterize the level of degree correlation in networks, but also reflects the speed that the average nearest neighbours’ degree varies with the vertex degree. Finally, we applied our results to several real-world networks, validating the conclusions of the linear analysis of degree correlation. We hope that the work in this paper can be helpful for further understanding the degree correlation in complex networks.

  5. Analysis and perturbation of degree correlation in complex networks

    CERN Document Server

    Xiang, Ju; Hu, Tao; Zhang, Yan

    2015-01-01

    Degree correlation is an important topological property common to many real-world networks. In this paper, the statistical measures for characterizing the degree correlation in networks are investigated analytically. We give an exact proof of the consistency for the statistical measures, reveal the general linear relation in the degree correlation, which provide a simple and interesting perspective on the analysis of the degree correlation in complex networks. By using the general linear analysis, we investigate the perturbation of the degree correlation in complex networks caused by the addition of few nodes and the rich club. The results show that the assortativity of homogeneous networks such as the ER graphs is easily to be affected strongly by the simple structural changes, while it has only slight variation for heterogeneous networks with broad degree distribution such as the scale-free networks. Clearly, the homogeneous networks are more sensitive for the perturbation than the heterogeneous networks.

  6. ANALYSIS OF CORRELATIVE FACTORS OF COGNITIVE FUNCTION OF THE AGED IN GERACOMIUM%影响老人院老年人认知功能的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    陈长香; 赵雅宁; 张盼; 吴安娜; 李建民

    2011-01-01

    [Objective] To explore influencing factors of cognitive function of the aged in geracomium, so as to provide basic of health education and cognitive rehabilitation. [ Methods ] Cognitive function of old people with more than 60 from six geracomiums was conducted by mini-mental state examination (MMSE) , activity of daily living (ADL) and the Geriatric Depression Scale (GDS). [Results] The incidence of cognitive disorder was 29.1% among 402 old people. The major correlative factors were educational level, reading and learning, age, ADL, social support level, hobbies, marital status, exercise, intimate friends, gender, working pressure of pre-retirement, activity in communities, audition, depression, drinking, communicating way, smoking and relationships with others. The difference was significant (P< 0.05 or P< 0.01). [Conclusion] The occurrence of the cognitive disorder of old people is high and influencing factors are complex. The preventive interventions should be taken.%[目的]了解老人院老年人认知功能的现状及影响因素,作为老人院健康教育和实施认知康复的依据.[方法]对唐山市6家老人院60岁及以上老年人,应用简单智力状态检查法(MMSE)的中文译文进行评测.[结果]402名老年人认知障碍患病率29.1%,与老年人认知功能相关较大的因素有文化程度、看书读报、年龄、ADL、社会支持水平、爱好、婚姻状况、运动、密切朋友、性别、退休前工作压力、参加团体活动、听力、抑郁、饮酒、倾诉方式、吸烟、与他人关系等,差异有统计学意义,P<0.01或P<0.05.[结论]老人院老年人认知障碍发生率高,影响因素复杂.应根据相关因素给予针对性预防干预,减少或延缓认知障碍的发生.

  7. Meta-Analysis of Correlations Among Usability Measures

    DEFF Research Database (Denmark)

    Hornbæk, Kasper Anders Søren; Effie Lai Chong, Law

    2007-01-01

    are generally low: effectiveness measures (e.g., errors) and efficiency measures (e.g., time) has a correlation of .247 ± .059 (Pearson's product-moment correlation with 95% confidence interval), efficiency and satisfaction (e.g., preference) one of .196 ± .064, and effectiveness and satisfaction one of .164......Understanding the relation between usability measures seems crucial to deepen our conception of usability and to select the right measures for usability studies. We present a meta-analysis of correlations among usability measures calculated from the raw data of 73 studies. Correlations...... ± .062. Changes in task complexity do not influence these correlations, but use of more complex measures attenuates them. Standard questionnaires for measuring satisfaction appear more reliable than homegrown ones. Measures of users' perceptions of phenomena are generally not correlated with objective...

  8. Clonal diversity of Clintonia udensis Trautv.et Mey. populations and its correlation with ecological factors

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The clonal diversity of Clintonia udensis Trautv.et Mey.was detected by ISSR markers among 16 populations,and its correlation with ecological factors was analyzed as well in this work.Results showed that individuals(clonal ramets)per genotype were 1.12 and 1.149 at population and species levels,respectively,and that the 16 populations were all multiclonal.The detected genotypes were localized,without exception,within populations but demonstrated relatively high clonal differentiation among populations.The clonal diversity of the studied populations was high,with the average Simpson’s index of 0.975,while the genets showed a clonal architecture of"guerilla".The population genetic diversities revealed by genet were consistent with those by ramet,further confirming their genetic differentiation among populations.And its genotype diversity within populations probably resulted largely from the frequent seedling regeneration and self-compatibility.In addition,the correlation analysis further revealed that,among the ecological factors,Simpson’s index of C.udensis had a significant positive correlation(P<0.05)with pH values in the soil but not others.

  9. Two speed factors of visual recognition independently correlated with fluid intelligence.

    Directory of Open Access Journals (Sweden)

    Ryosuke Tachibana

    Full Text Available Growing evidence indicates a moderate but significant relationship between processing speed in visuo-cognitive tasks and general intelligence. On the other hand, findings from neuroscience proposed that the primate visual system consists of two major pathways, the ventral pathway for objects recognition and the dorsal pathway for spatial processing and attentive analysis. Previous studies seeking for visuo-cognitive factors of human intelligence indicated a significant correlation between fluid intelligence and the inspection time (IT, an index for a speed of object recognition performed in the ventral pathway. We thus presently examined a possibility that neural processing speed in the dorsal pathway also represented a factor of intelligence. Specifically, we used the mental rotation (MR task, a popular psychometric measure for mental speed of spatial processing in the dorsal pathway. We found that the speed of MR was significantly correlated with intelligence scores, while it had no correlation with one's IT (recognition speed of visual objects. Our results support the new possibility that intelligence could be explained by two types of mental speed, one related to object recognition (IT and another for manipulation of mental images (MR.

  10. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

    Xu Ren-zuo; Ma Ruo-feng; Liu Li-na; Xiong Zhong-wei

    2004-01-01

    The general human factors analysis analyzes human functions, effects and influence in a system. But in a narrow sense, it analyzes human influence upon the reliability of a system, it includes traditional human reliability analysis, human error analysis, man-machine interface analysis, human character analysis, and others. A software development project in software engineering is successful or not to be completely determined by human factors. In this paper, we discuss the human factors intensions, declare the importance of human factors analysis for software engineering by listed some instances. At last, we probe preliminarily into the mentality that a practitioner in software engineering should possess.

  11. The correlation analysis between environmental factors, bone morphogenetic protein-4 and transforming growth factor beta-3 polymorphisms in nonsyndromic cleft lip with or without cleft palate%BMP4、TGF-β3基因多态性与环境暴露在非综合征性唇腭裂发生中的交互作用

    Institute of Scientific and Technical Information of China (English)

    林健燕; 栾荣生; 郭泽强; 林新勤; 汤洪洋; 陈苑萍

    2010-01-01

    reduction (MDR) method. The interactions were validated by logistic regression analysis. ResultsThere was no correlation between three single nucleotide polymorphism (SNP) associated with NSCLP. The developmental accident of NSCLP had higher risk in the interaction between BMP4 T538C, maternal passive smoking and infection in first trimester pregnancy, as well as in the interaction of six factors between TGF-β3 G15572-, maternal passive smoking, infections, multivitamin supplement in the first trimester pregnancy, paternal smoking and high risk drinking before realizing pregnancy than in other interactions of environmental factors. The results could be validated by logistic regression analysis.Conclusions The NSCLP is induced by the interactions between genes and environmental risk factors.

  12. [Electroencephalogram Feature Selection Based on Correlation Coefficient Analysis].

    Science.gov (United States)

    Zhou, Jinzhi; Tang, Xiaofang

    2015-08-01

    In order to improve the accuracy of classification with small amount of motor imagery training data on the development of brain-computer interface (BCD systems, we proposed an analyzing method to automatically select the characteristic parameters based on correlation coefficient analysis. Throughout the five sample data of dataset IV a from 2005 BCI Competition, we utilized short-time Fourier transform (STFT) and correlation coefficient calculation to reduce the number of primitive electroencephalogram dimension, then introduced feature extraction based on common spatial pattern (CSP) and classified by linear discriminant analysis (LDA). Simulation results showed that the average rate of classification accuracy could be improved by using correlation coefficient feature selection method than those without using this algorithm. Comparing with support vector machine (SVM) optimization features algorithm, the correlation coefficient analysis can lead better selection parameters to improve the accuracy of classification.

  13. Vascular Cognitive Impairment: risk factors and brain MRI correlates

    NARCIS (Netherlands)

    Reijmer, Y.D.

    2012-01-01

    Vascular disease plays an important role in the development of dementia, also in patients diagnosed with Alzheimer’s disease. Risk factors such as hypertension, obesity, and type 2 diabetes, are associated with a two-fold increased risk of cognitive dysfunction and dementia. The development of cogni

  14. Analysis on correlation between the density of dengue fever vector and climatic factors at Jieyang port%揭阳口岸登革热媒介密度及与气候因素相关分析

    Institute of Scientific and Technical Information of China (English)

    林燕如; 林志雄; 陈锐强; 方其丰

    2012-01-01

    目的 了解揭阳口岸登革热媒介伊蚊密度与季节消长及其与气候变化的关系,为防控提供科学依据.方法 采用人工小时法和集卵器法调查蚊虫密度,应用SPSS分析季节和气候变化与蚊虫密度的关系.结果 2008 - 2010年每年5- 10月份白纹伊蚊月平均密度为2~29.8只/人工小时;诱卵阳性指数为13.3~86.7;伊蚊密度与诱蚊指数存在正线性相关关系,伊蚊密度与月平均气温及前2个月降雨量呈正线性相关.结论 揭阳口岸白纹伊蚊密度较高,与月平均气温有正线性相关,月降雨量对蚊虫密度有滞后正效性关系.%Objective To survey the density of dengue fever vector and its seasonal fluctuation, and analyze the correlation between mosquito density and climatic factors so as to provide scientific evidence for monitoring and preventing dengue fever at Jieyang port. Methods The human baited captured and ovitrap methods for mosquitoes density survey, and the relationship between mosquito surveillance data and climate variables from 2008 to 2010 were analyzed by SPSS 13.0. Results The mean densities of Aedes albopictus were from 2 to 29.8 pieces per hour during May to October in 2008 -2010, and the ovitrap index were from 13. 3 to 86. 7. There was a positive correlation between the mean densities of Aedes albopictus adult and ovitrap index ( P = 0. 041 ) , and between the densities of mosquito and the monthly mean temperature, and pre-2-month precipitation. Conclusion The density of Aedes albopictus is at a high level at Jieyang port, and is affected by temperature and pre-2-month precipitation.

  15. 血液透析患者不宁腿综合征的患病率及相关因素分析%Prevalence and Correlation Factors Analysis of Restless Legs Syndrome in Hemodialysis Patients

    Institute of Scientific and Technical Information of China (English)

    沈炜娣; 干静; 魏雅荣; 吴谷奋; 陆玮; 任肖玉; 蒋更如; 刘振国

    2013-01-01

    目的 调查血液透析患者中不宁腿综合征(RLS)的患病率,了解相关影响因素对睡眠、生活质量的影响.方法 对194例血液透析患者进行横断面调查,采用匹兹堡睡眠质量指数量表(PSQI)、健康状况调查简表(SF-36)对睡眠和生活质量进行评估.结果 194例血液透析患者分为:RLS组31例和无RLS组163例.RLS患病率为16.0%.RLS组与无RLS组在年龄、性别、透析时间及生化指标等方面比较,均差异无统计学意义.RLS组睡眠质量与无RLS组比较,差异有统计学意义(P=0.000);生活质量比较差异无统计学意义.结论 伴有RLS的血液透析患者睡眠质量明显下降,与RLS严重程度有关,对患者生活质量无明显影响.%Aim To evaluate the prevalence of restless legs syndrome (RLS) in hemodialysis patients, analyze the potential correlated factors of RLS, and assess its impact on patients' sleep disturbances and the quality of life. Methods 194 patients with the hemodialysis were studied, collecting the data of general information and biochemical parameters, evaluating the quality of sleep and life. Independent-samples t test, Chi-aquare test and linear correlation were employed. Results The prevalence of RLS of hemodialysis patients in our blood decontamination room was 16.0%. There were no significant differences in age, gender, duration of hemodialysis, biochemical parameters and the quality of life between the patients with RLS and without RLS. The Pittsburgh Sleep Quality Index (PSQI) of patients with RLS was higher than those without RLS (P=0.000). Conclusion The prevalence of RLS in hemodialysis patients in our blood decontamination room was 16.0%. The patients with RLS had a poorer quality of sleep, the RLS severity made an impact on the overall sleep quality, duration of sleep, sleep efficiency and day dysfunction due to sleepiness. The quality of life between the patients with RLS and those without RLS was similar.

  16. Subjective symptoms of carpal tunnel syndrome correlate more with psychological factors than electrophysiological severity

    Directory of Open Access Journals (Sweden)

    Firosh Khan

    2017-01-01

    Full Text Available Aim: Carpal tunnel syndrome (CTS is the most common entrapment neuropathy and is one of the most common requests for electrodiagnosis. We aimed to note the relationship of subjective symptom severity of CTS, with objective electrophysiological severity and psychological status of patients. Patients and Methods: One hundred and forty-four consecutive patients of CTS referred to neurophysiology laboratory of a tertiary care hospital over 1 year were prospectively studied. Boston CTS Assessment Questionnaire (BCTSAQ and visual analog scale (VAS were used to assess subjective symptom severity. Psychological status was assessed by Hospital Anxiety and Depression Scale (HADS. Electrophysiological severity of CTS was estimated by median motor distal latency and median to ulnar peak sensory latency difference across the wrist. Each parameter in both hands was scored from 0 to 3 depending on the severity grade, and a composite electrophysiological severity score (CEPSS was calculated for each patient by summing up the scores in both hands. Statistical analysis was done by Spearman's rank correlation test. Results: There was significant correlation of BCTSAQ with VAS (P = 0.001, HADS anxiety score (P < 0.001, and HADS depression score (P = 0.01. CEPSS had no significant correlation with VAS (P = 0.103, HADS anxiety score (P = 0.211, or HADS depression score (P = 0.55. CEPSS had a borderline correlation with BCTSAQ (P = 0.048. Conclusions: While the subjective symptoms of CTS are well correlated with psychological factors, their correlation with objective electrophysiological severity is weak. Hence, prompt treatment of psychological comorbidity is important in symptomatic management of CTS; decision about surgical intervention should be based on electrophysiological severity rather than symptom severity.

  17. Correlations of health behaviors and factors with high sensitivity C-reactive protein in diabetic population

    Directory of Open Access Journals (Sweden)

    Jin-hong HOU

    2013-11-01

    Full Text Available Objective To explore the correlations of ideal cardiovascular health behaviors and factors with the level of high sensitivity C-reactive protein (hsCRP in diabetic population. Methods A cross-sectional method was used in present study. Seven thousand eight hundred and sixty-nine workers with diabetes were recruited who participated in the 2006-2007 Kailuan health examination without history of cerebral and myocardial infarction and without data incompleted. All the information was obtained from the unified questionnaire and measurement of blood biochemistry. Multivariate logistic regression analysis was used to analyze the effects of ideal cardiovascular health behaviors and factors on the level of hsCRP. Results The hsCRP concentrations decreased with the increasing numbers of ideal cardiovascular health behaviors and factors, the medians of hsCRP concentrations were 1.16mg/L, 1.11mg/L, 0.90mg/L and 0.76mg/L in 0-1, 2, 3 and 4-6 ideal cardiovascular health groups, respectively (P<0.01. Multivariate logistic regression analysis showed that, after adjustment by age, gender, triglyceride, low density lipoprotein cholesterol (LDL-C and high density lipoprotein cholesterol (HDL-C, the risk of hsCRP level exceeding 3mg/L in the subjects having 3 and 4-6 ideal cardiovascular health behaviors and factors was 0.60 times (95%CI 0.50-0.72 and 0.45 times (95%CI 0.34-0.61, respectively, than those having 0-1 ideal cardiovascular health behaviors and factors. Conclusion The hsCRP concentrations decreased with increasing numbers of ideal cardiovascular health behaviors and factors; the risk of hsCRP exceeding 3mg/L can be reduced by ideal cardiovascular health behaviors and factors. DOI: 10.11855/j.issn.0577-7402.2013.10.013

  18. A factor analysis to detect factors influencing building national brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    Full Text Available Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.

  19. The prevalence, risk factors and clinical correlates of obesity in Chinese patients with schizophrenia.

    Science.gov (United States)

    Li, Qiongzhen; Du, Xiangdong; Zhang, Yingyang; Yin, Guangzhong; Zhang, Guangya; Walss-Bass, Consuelo; Quevedo, João; Soares, Jair C; Xia, Haishen; Li, Xiaosi; Zheng, Yingjun; Ning, Yuping; Zhang, Xiang Yang

    2017-05-01

    Obesity is a common comorbidity in schizophrenia. Few studies have addressed obesity in Chinese schizophrenia patients. The aims of this current study were to evaluate the prevalence, risk factors and clinical correlates of obesity in Chinese patients with schizophrenia. A total of 206 patients were recruited from a hospital in Beijing. Their clinical and anthropometric data together with plasma glucose and lipid parameters were collected. Positive and Negative Syndrome Scale (PANSS) was rated for all patients. Overall, 43 (20.9%) patients were obese and 67 (32.5%) were overweight. The obese patients had significantly higher glucose levels, triglyceride levels than non-obese patients. Females and patients with type 2 diabetes mellitus had increased risk for obesity. Correlation analysis showed that BMI was associated with sex, education levels, negative symptoms, total PANSS score, triglyceride levels and type 2 diabetes mellitus. Further stepwise regression analysis showed that sex, type 2 diabetes, education level, triglyceride and amount of smoking/day were significant predictors for obesity. Our study showed that the prevalence of obesity in Chinese patients with schizophrenia is higher than that in the general population. Some demographic and clinical variables are risk factors for obesity in schizophrenia. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

  20. Measurement Bias Detection through Factor Analysis

    Science.gov (United States)

    Barendse, M. T.; Oort, F. J.; Werner, C. S.; Ligtvoet, R.; Schermelleh-Engel, K.

    2012-01-01

    Measurement bias is defined as a violation of measurement invariance, which can be investigated through multigroup factor analysis (MGFA), by testing across-group differences in intercepts (uniform bias) and factor loadings (nonuniform bias). Restricted factor analysis (RFA) can also be used to detect measurement bias. To also enable nonuniform…

  1. Correlation analysis of electromyogram signals for multiuser myoelectric interfaces.

    Science.gov (United States)

    Khushaba, Rami N

    2014-07-01

    An inability to adapt myoelectric interfaces to a novel user's unique style of hand motion, or even to adapt to the motion style of an opposite limb upon which the interface is trained, are important factors inhibiting the practical application of myoelectric interfaces. This is mainly attributed to the individual differences in the exhibited electromyogram (EMG) signals generated by the muscles of different limbs. We propose in this paper a multiuser myoelectric interface which easily adapts to novel users and maintains good movement recognition performance. The main contribution is a framework for implementing style-independent feature transformation by using canonical correlation analysis (CCA) in which different users' data is projected onto a unified-style space. The proposed idea is summarized into three steps: 1) train a myoelectric pattern classifier on the set of style-independent features extracted from multiple users using the proposed CCA-based mapping; 2) create a new set of features describing the movements of a novel user during a quick calibration session; and 3) project the novel user's features onto a lower dimensional unified-style space with features maximally correlated with training data and classify accordingly. The proposed method has been validated on a set of eight intact-limbed subjects, left-and-right handed, performing ten classes of bilateral synchronous fingers movements with four electrodes on each forearm. The method was able to overcome individual differences through the style-independent framework with accuracies of > 83% across multiple users. Testing was also performed on a set of ten intact-limbed and six below-elbow amputee subjects as they performed finger and thumb movements. The proposed framework allowed us to train the classifier on a normal subject's data while subsequently testing it on an amputee's data after calibration with a performance of > 82% on average across all amputees.

  2. Correlation Analysis between TCM Syndromes and Physicochemical Parameters

    Institute of Scientific and Technical Information of China (English)

    SUN Zhan-quan; XI Guang-cheng; Li Hai-xia; YI Jian-qiang; WANG jie

    2006-01-01

    Traditionally, differentiation of syndromes of Traditional Chinese Medicine (TCM) mainly depends on the information obtained from four diagnosis methods. Now many physicochemical parameters are available in clinic. There exists great correlation between TCM syndromes and physicochemical parameters.The objective of the paper is to analyze the correlation between TCM syndromes and physicochemical parameters quantitatively. Correlation analysis has been widely studied and many analysis methods have been developed. Mutual information based on entropy can measure arbitrary dependence between variables. It has been applied to many kinds of fields, especially to pattern recognition. But most works are restricted to discrete variables and little work has been done to study the relation between discrete and continuous variables. A novel algorithm is proposed to calculate the mutual information between discrete and continuous variables. It is used to analyze the correlation between TCM syndromes and physicochemical parameters.

  3. Correlation and path coefficient analysis in coconut (Cocos nucifera L.

    Directory of Open Access Journals (Sweden)

    S. Geethanjali, D. Rajkumar and N.Shoba

    2014-12-01

    Full Text Available A total of 43 coconut germplasm accessions were characterized for nut yield and fruit component traits. Correlation analysis showed that most of the fruit traits viz., fruit length, fruit breadth, fruit weight, nut weight, kernel weight and copra weight per nut were positively correlated with each other but showed significant negative correlation with the number of nuts produced per palm per annum. Shell thickness and husk thickness were not correlated with any of the fruit component traits. Path analysis revealed that nut yield and copra content per nut had positive direct effect on the total copra yield per palm. The results of this study showed that equal consideration should be given for both nut yield and copra content per nut while selecting elite genotypes for dual purpose viz., tender nut or culinary use and copra for oil extraction.

  4. Interval arithmetic operations for uncertainty analysis with correlated interval variables

    Institute of Scientific and Technical Information of China (English)

    Chao Jiang; Chun-Ming Fu; Bing-Yu Ni; Xu Han

    2016-01-01

    A new interval arithmetic method is proposed to solve interval functions with correlated intervals through which the overestimation problem existing in interval analy-sis could be significantly alleviated. The correlation between interval parameters is defined by the multidimensional par-allelepiped model which is convenient to describe the correlative and independent interval variables in a unified framework. The original interval variables with correlation are transformed into the standard space without correlation, and then the relationship between the original variables and the standard interval variables is obtained. The expressions of four basic interval arithmetic operations, namely addi-tion, subtraction, multiplication, and division, are given in the standard space. Finally, several numerical examples and a two-step bar are used to demonstrate the effectiveness of the proposed method.

  5. DGCA: A comprehensive R package for Differential Gene Correlation Analysis.

    Science.gov (United States)

    McKenzie, Andrew T; Katsyv, Igor; Song, Won-Min; Wang, Minghui; Zhang, Bin

    2016-11-15

    Dissecting the regulatory relationships between genes is a critical step towards building accurate predictive models of biological systems. A powerful approach towards this end is to systematically study the differences in correlation between gene pairs in more than one distinct condition. In this study we develop an R package, DGCA (for Differential Gene Correlation Analysis), which offers a suite of tools for computing and analyzing differential correlations between gene pairs across multiple conditions. To minimize parametric assumptions, DGCA computes empirical p-values via permutation testing. To understand differential correlations at a systems level, DGCA performs higher-order analyses such as measuring the average difference in correlation and multiscale clustering analysis of differential correlation networks. Through a simulation study, we show that the straightforward z-score based method that DGCA employs significantly outperforms the existing alternative methods for calculating differential correlation. Application of DGCA to the TCGA RNA-seq data in breast cancer not only identifies key changes in the regulatory relationships between TP53 and PTEN and their target genes in the presence of inactivating mutations, but also reveals an immune-related differential correlation module that is specific to triple negative breast cancer (TNBC). DGCA is an R package for systematically assessing the difference in gene-gene regulatory relationships under different conditions. This user-friendly, effective, and comprehensive software tool will greatly facilitate the application of differential correlation analysis in many biological studies and thus will help identification of novel signaling pathways, biomarkers, and targets in complex biological systems and diseases.

  6. Detrended cross-correlation analysis consistently extended to multifractality.

    Science.gov (United States)

    Oświecimka, Paweł; Drożdż, Stanisław; Forczek, Marcin; Jadach, Stanisław; Kwapień, Jarosław

    2014-02-01

    We propose an algorithm, multifractal cross-correlation analysis (MFCCA), which constitutes a consistent extension of the detrended cross-correlation analysis and is able to properly identify and quantify subtle characteristics of multifractal cross-correlations between two time series. Our motivation for introducing this algorithm is that the already existing methods, like multifractal extension, have at best serious limitations for most of the signals describing complex natural processes and often indicate multifractal cross-correlations when there are none. The principal component of the present extension is proper incorporation of the sign of fluctuations to their generalized moments. Furthermore, we present a broad analysis of the model fractal stochastic processes as well as of the real-world signals and show that MFCCA is a robust and selective tool at the same time and therefore allows for a reliable quantification of the cross-correlative structure of analyzed processes. In particular, it allows one to identify the boundaries of the multifractal scaling and to analyze a relation between the generalized Hurst exponent and the multifractal scaling parameter λ(q). This relation provides information about the character of potential multifractality in cross-correlations and thus enables a deeper insight into dynamics of the analyzed processes than allowed by any other related method available so far. By using examples of time series from the stock market, we show that financial fluctuations typically cross-correlate multifractally only for relatively large fluctuations, whereas small fluctuations remain mutually independent even at maximum of such cross-correlations. Finally, we indicate possible utility of MFCCA to study effects of the time-lagged cross-correlations.

  7. The prevalence of substance use among adolescents and its correlation with social and demographic factors

    Directory of Open Access Journals (Sweden)

    Rakić Dušica B.

    2014-01-01

    Full Text Available Backround/Aim. Adolescence is the period of greatest risk of starting to use substances: cigarette smoking, alcohol and illicit drugs. In the first decade of this millennium substance use among adolescents has increased. The aim of this study was to explore the prevalence of substances use among adolescents and its correlation with social and demographic factors. Methods. The study was conducted among adolescents in Novi Sad during 2010-2011 and included 594 conveniently selected adolescents (275 male and 319 female, aged 15-19 years. A special questionnaire was used and statistical analysis performed in SPSS17. The correlation between parameters was evaluated by the Pearson correlation method and frequency differences were analysed using χ2 test and starting level was p < 0.05. Results. The prevalence of substance use was statistically higher in males. Cigarettes were smoked daily by 21.45% males and 15.67% females (p < 0.01, alcohol was consumed by 81.6% males and 69.11% females (p < 0.001 and illicit drugs were used by 13.65% males and 8.30% females (p < 0.05. There was a positive correlation between smoking cigarettes and alcohol consumption, but negative between smoking cigarettes and the use of illicit drugs (p < 0.01. The prevalence of substance use was statistically higher among adolescents with poor achievement in school (p < 0.01, who lived in a broken home (illicit drugs p < 0.01 and who had more pocket money (cigarette smoking p < 0.01, and alcohol consumption p < 0.5. Conclusion. Stable family, lower amount of pocket money weekly and good school performance are protective factors in prevention of substances use among adolescents.

  8. Analysis of transverse momentum correlations in hadronic Z decays

    Science.gov (United States)

    ALEPH Collaboration; Barate, R.; Buskulic, D.; Decamp, D.; Ghez, P.; Goy, C.; Lees, J.-P.; Lucotte, A.; Merle, E.; Minard, M.-N.; Nief, J.-Y.; Perrodo, P.; Pietrzyk, B.; Alemany, R.; Casado, M. P.; Chmeissani, M.; Crespo, J. M.; Delfino, M.; Fernandez, E.; Fernandez-Bosman, M.; Garrido, Ll.; Graugès, E.; Juste, A.; Martinez, M.; Merino, G.; Miquel, R.; Mir, Ll. M.; Pacheco, A.; Park, I. C.; Pascual, A.; Riu, I.; Sanchez, F.; Colaleo, A.; Creanza, D.; de Palma, M.; Gelao, G.; Iaselli, G.; Maggi, G.; Maggi, M.; Nuzzo, S.; Ranieri, A.; Raso, G.; Ruggieri, F.; Selvaggi, G.; Silvestris, L.; Tempesta, P.; Tricomi, A.; Zito, G.; Huang, X.; Lin, J.; Ouyang, Q.; Wang, T.; Xie, Y.; Xu, R.; Xue, S.; Zhang, J.; Zhang, L.; Zhao, W.; Abbaneo, D.; Becker, U.; Boix, G.; Cattaneo, M.; Cerutti, F.; Ciulli, V.; Dissertori, G.; Drevermann, H.; Forty, R. W.; Frank, M.; Halley, A. W.; Hansen, J. B.; Harvey, J.; Janot, P.; Jost, B.; Lehraus, I.; Leroy, O.; Mato, P.; Minten, A.; Moneta, L.; Moutoussi, A.; Ranjard, F.; Rolandi, L.; Rousseau, D.; Schlatter, D.; Schmitt, M.; Schneider, O.; Tejessy, W.; Teubert, F.; Tomalin, I. R.; Tournefier, E.; Wachsmuth, H.; Ajaltouni, Z.; Badaud, F.; Chazelle, G.; Deschamps, O.; Falvard, A.; Ferdi, C.; Gay, P.; Guicheney, C.; Henrard, P.; Jousset, J.; Michel, B.; Monteil, S.; Montret, J.-C.; Pallin, D.; Perret, P.; Podlyski, F.; Hansen, J. D.; Hansen, J. R.; Hansen, P. H.; Nilsson, B. S.; Rensch, B.; Wäänänen, A.; Daskalakis, G.; Kyriakis, A.; Markou, C.; Simopoulou, E.; Siotis, I.; Vayaki, A.; Blondel, A.; Bonneaud, G.; Brient, J.-C.; Rougé, A.; Rumpf, M.; Swynghedauw, M.; Valassi, A.; Verderi, M.; Videau, H.; Focardi, E.; Parrini, G.; Zachariadou, K.; Corden, M.; Georgiopoulos, C.; Jaffe, D. E.; Antonelli, A.; Bencivenni, G.; Bologna, G.; Bossi, F.; Campana, P.; Capon, G.; Chiarella, V.; Laurelli, P.; Mannocchi, G.; Murtas, F.; Murtas, G. P.; Passalacqua, L.; Pepe-Altarelli, M.; Curtis, L.; Lynch, J. G.; Negus, P.; O'Shea, V.; Raine, C.; Teixeira-Dias, P.; Thompson, A. S.; Thomson, E.; Buchmüller, O.; Dhamotharan, S.; Geweniger, C.; Hanke, P.; Hansper, G.; Hepp, V.; Kluge, E. E.; Putzer, A.; Sommer, J.; Tittel, K.; Werner, S.; Wunsch, M.; Beuselinck, R.; Binnie, D. M.; Cameron, W.; Dornan, P. J.; Girone, M.; Goodsir, S.; Martin, E. B.; Marinelli, N.; Nash, J.; Sedgbeer, J. K.; Spagnolo, P.; Williams, M. D.; Ghete, V. M.; Girtler, P.; Kneringer, E.; Kuhn, D.; Rudolph, G.; Betteridge, A. P.; Bowdery, C. K.; Buck, P. G.; Colrain, P.; Crawford, G.; Finch, A. J.; Foster, F.; Hughes, G.; Jones, R. W. L.; Robertson, N. A.; Williams, M. I.; Giehl, I.; Hoffmann, C.; Jakobs, K.; Kleinknecht, K.; Quast, G.; Renk, B.; Rohne, E.; Sander, H.-G.; van Gemmeren, P.; Zeitnitz, C.; Aubert, J. J.; Benchouk, C.; Bonissent, A.; Carr, J.; Coyle, P.; Etienne, F.; Motsch, F.; Payre, P.; Talby, M.; Thulasidas, M.; Aleppo, M.; Antonelli, M.; Ragusa, F.; Berlich, R.; Büscher, V.; Dietl, H.; Ganis, G.; Hüttmann, K.; Lütjens, G.; Mannert, C.; Männer, W.; Moser, H.-G.; Schael, S.; Settles, R.; Seywerd, H.; Stenzel, H.; Wiedenmann, W.; Wolf, G.; Azzurri, P.; Boucrot, J.; Callot, O.; Chen, S.; Cordier, A.; Davier, M.; Duflot, L.; Grivaz, J.-F.; Heusse, Ph.; Jacholkowska, A.; Kim, D. W.; Le Diberder, F.; Lefrançois, J.; Lutz, A.-M.; Schune, M.-H.; Veillet, J.-J.; Videau, I.; Zerwas, D.; Bagliesi, G.; Bettarini, S.; Boccali, T.; Bozzi, C.; Calderini, G.; dell'Orso, R.; Ferrante, I.; Foà, L.; Giassi, A.; Gregorio, A.; Ligabue, F.; Lusiani, A.; Marrocchesi, P. S.; Messineo, A.; Palla, F.; Rizzo, G.; Sanguinetti, G.; Sciabà, A.; Sguazzoni, G.; Tenchini, R.; Vannini, C.; Venturi, A.; Verdini, P. G.; Blair, G. A.; Chambers, J. T.; Cowan, G.; Green, M. G.; Medcalf, T.; Strong, J. A.; von Wimmersperg-Toeller, J. H.; Botterill, D. R.; Clifft, R. W.; Edgecock, T. R.; Norton, P. R.; Thompson, J. C.; Wright, A. E.; Bloch-Devaux, B.; Colas, P.; Emery, S.; Kozanecki, W.; Lançon, E.; Lemaire, M.-C.; Locci, E.; Perez, P.; Rander, J.; Renardy, J.-F.; Roussarie, A.; Schuller, J.-P.; Schwindling, J.; Trabelsi, A.; Vallage, B.; Black, S. N.; Dann, J. H.; Johnson, R. P.; Kim, H. Y.; Konstantinidis, N.; Litke, A. M.; McNeil, M. A.; Taylor, G.; Booth, C. N.; Cartwright, S.; Combley, F.; Kelly, M. S.; Lehto, M.; Thompson, L. F.; Affholderbach, K.; Böhrer, A.; Brandt, S.; Grupen, C.; Prange, G.; Saraiva, P.; Smolik, L.; Stephan, F.; Giannini, G.; Gobbo, B.; Rothberg, J.; Wasserbaech, S.; Armstrong, S. R.; Charles, E.; Elmer, P.; Ferguson, D. P. S.; Gao, Y.; González, S.; Greening, T. C.; Hayes, O. J.; Hu, H.; Jin, S.; McNamara, P. A., III; Nachtman, J. M.; Nielsen, J.; Orejudos, W.; Pan, Y. B.; Saadi, Y.; Scott, I. J.; Walsh, J.; Wu, Sau Lan; Wu, X.; Zobernig, G.

    1999-02-01

    In a recent paper, evidence was presented for a significant, positive correlation between the total transverse momenta of particles on opposite hemispheres of hadronic events. A new, model independent analysis of the data has been made. Two components can be distinguished in the correlation, and quantitative estimates of each are given. The results form a significant test of Monte Carlo models and some of the physics behind them.

  9. Analysis of short-distance current correlators using OPE

    CERN Document Server

    Tomii, M; Fahy, B; Fukaya, H; Hashimoto, S; Noaki, J

    2015-01-01

    We investigate the correlators of flavor non-singlet bilinear operators calculated on the lattice at short distances. In the continuum theory, non-perturbative effects are encoded in the form of the operator product expansion (OPE). We test the prediction of OPE by comparing lattice results with those in the continuum theory. We also determine the renormalization factors of quark currents.

  10. Model independent analysis of nearly L\\'evy correlations

    OpenAIRE

    Novák, T.; Csörgő, T.; Eggers, H. C.; Kock, M.

    2016-01-01

    A model-independent method for the analysis of the two-particle short-range correlations is presented, that can be utilized to describe e.g. Bose-Einstein (HBT), dynamical (ridge) or other correlation functions, that have a nearly L\\'evy or streched exponential shape. For the special case of L\\'evy exponent alpha = 1, the earlier Laguerre expansions are recovered, for the alpha = 2 special case, a new expansion method is obtained for nearly Gaussian correlation functions. Multi-dimensional L\\...

  11. Analysis of community structure in networks of correlated data

    Energy Technology Data Exchange (ETDEWEB)

    Gomez, S.; Jensen, P.; Arenas, A.

    2008-12-25

    We present a reformulation of modularity that allows the analysis of the community structure in networks of correlated data. The new modularity preserves the probabilistic semantics of the original definition even when the network is directed, weighted, signed, and has self-loops. This is the most general condition one can find in the study of any network, in particular those defined from correlated data. We apply our results to a real network of correlated data between stores in the city of Lyon (France).

  12. Canonical correlation analysis of course and teacher evaluation

    DEFF Research Database (Denmark)

    Sliusarenko, Tamara; Ersbøll, Bjarne Kjær

    2010-01-01

    At the Technical University of Denmark course evaluations are performed by the students on a questionnaire. On one form the students are asked specific questions regarding the course. On a second form they are asked specific questions about the teacher. This study investigates the extent to which...... information obtained from the course evaluation form overlaps with information obtained from the teacher evaluation form. Employing canonical correlation analysis it was found that course and teacher evaluations are correlated. However, the structure of the canonical correlation is subject to change...

  13. Delay correlation analysis and representation for vital complaint VHDL models

    Science.gov (United States)

    Rich, Marvin J.; Misra, Ashutosh

    2004-11-09

    A method and system unbind a rise/fall tuple of a VHDL generic variable and create rise time and fall time generics of each generic variable that are independent of each other. Then, according to a predetermined correlation policy, the method and system collect delay values in a VHDL standard delay file, sort the delay values, remove duplicate delay values, group the delay values into correlation sets, and output an analysis file. The correlation policy may include collecting all generic variables in a VHDL standard delay file, selecting each generic variable, and performing reductions on the set of delay values associated with each selected generic variable.

  14. Correlation failure analysis of an uncertain hysteretic vibration system

    Institute of Scientific and Technical Information of China (English)

    Zhang Xufang; Zhang Yimin; Hao Qiuju

    2008-01-01

    In this paper, a numerical method for correlation sensitivity analysis of a nonlinear random vibration system is presented. Based on the first passage failure model, the probability perturbation method is employed to determine the statistical characteristics of failure modes and the correlation between them. The sensitivity of correlation between failure modes with respect to random parameters characterizing the uncertainty of the hysteretic loop is discussed. In a numerical example, a two-DOF shear structure with uncertain hysteretic restoring force is considered. The statistical characteristics of response, failure modes and the sensitivity of random hysteretic loop parameters are provided, and also compared with a Monte Carlo simulation.

  15. Process Correlation Analysis Model for Process Improvement Identification

    Directory of Open Access Journals (Sweden)

    Su-jin Choi

    2014-01-01

    software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

  16. Previous factors correlated to multiple organic dysfunction in adults severely burnt

    Directory of Open Access Journals (Sweden)

    Elvira María Martínez Barreto

    2015-02-01

    Full Text Available Background: different systems of prognosis classification for the follow up classification for patients in critical stage in different clinical conditions have been created in intensive care unit. However any of them has been used in our country in burnt patients because there is a lack of element for its evaluation. Objective: identifying the variables that constitute previous factors correlated to the development of multiple organic syndrome dysfunction in adults severely burnt. Methods: correlational, descriptive study, that included 68 burnt critical patients admitted at Gurstavo Aldeleguía Lima hospital from 2005 to 2009. Patients classified as critical, very critical and extremely critical were included. Through a bi-varied analysis a series of dependent variables in terms of the presence of the syndrome were evaluated. In order to analyze their relation with the presence or not of the syndrome, multivariate analysis of logistic regression and interaction among variables were applied. Results: at the moment of admission variables largely correlated to the syndrome were: corporal burned-out surface, depth AB and B, heart and respiratory rate, arterial base deficit, relation PO2FIO2, sodium, potassium and white blood cell count. The interactions among variables belonging to bigger statistical significance were observed between the heart rate, white blood cell count and corporal burned-out surface. Conclusion: a group of clinical and laboratory factors was identified, associated to the development of the syndrome in the evolution of the patients severely burnt. These results will inform in a precocious way about the probability for burnt patients to present in any time of his evolution, dysfunctions that lead them to develop the syndrome.

  17. Transient ischemic attack clinical analysis of correlative factors of cerebral infarction%短暂性脑缺血发作进展为脑梗死相关因素的临床分析

    Institute of Scientific and Technical Information of China (English)

    郎凤东; 任芳

    2013-01-01

      Objective To investigate the effect of transient ischemic attack(TIA) the factors responsible for the development of cerebral infarction. Methods 143 patients with transient cerebral ischemia in our hospital from 2010 March-2013 year in January the attack patients as the object of study, retrospective analysis of the clinical data of their. Results By analyzing the clinical data of 143 cases of patients in the analysis, patient gender, history of coronary heart disease, alcohol and tobacco, hyperlipemia and transient ischemic attack of cerebral infarction and no significant association(P >0.05); patients age, diabetes, hypertension and cerebral artery stenosis in patients with transient cerebral ischemia cerebral infarction has a significant association(P 0.05);高龄、糖尿病、高血压及脑动脉狭窄等有显著性关联(P <0.05);发作频率在3次/d以上、有严重神经功能缺损、发作时间持续高于30min的患者,其TIA进展为脑梗死显著性增高(P <0.05)。结论 TIA进展为脑梗死是由多种因素共同作用的结果,尤其与病患年龄较高,患有糖尿病、高血压、脑动脉狭窄及发作频率过高等有关,值得临床重点关注。

  18. Wavelet multiple correlation and cross-correlation: A multiscale analysis of Eurozone stock markets

    Science.gov (United States)

    Fernández-Macho, Javier

    2012-02-01

    Statistical studies that consider multiscale relationships among several variables use wavelet correlations and cross-correlations between pairs of variables. This procedure needs to calculate and compare a large number of wavelet statistics. The analysis can then be rather confusing and even frustrating since it may fail to indicate clearly the multiscale overall relationship that might exist among the variables. This paper presents two new statistical tools that help to determine the overall correlation for the whole multivariate set on a scale-by-scale basis. This is illustrated in the analysis of a multivariate set of daily Eurozone stock market returns during a recent period. Wavelet multiple correlation analysis reveals the existence of a nearly exact linear relationship for periods longer than the year, which can be interpreted as perfect integration of these Euro stock markets at the longest time scales. It also shows that small inconsistencies between Euro markets seem to be just short within-year discrepancies possibly due to the interaction of different agents with different trading horizons.

  19. CORRELATION BETWEEN THE DAMPING FACTOR PER UNIT MASS AND THE FREE LENGTH FOR COMPOSITE SANDWICH BARS. EXPERIMENTAL INVESTIGATIONS

    Directory of Open Access Journals (Sweden)

    Cristian-Oliviu BURADA

    2015-05-01

    Full Text Available In this paper we have build some composite sandwich bars in this way: the core is made with polypropylene honeycomb (its thickness is 10, 15 and 20 mm reinforced with 1 layer of carbon fiber (on the sample upper and lower sides. For these samples we have determined, by experimental means, the damping factor per unit mass and per unit length. Then, by using the regression analysis, we have established correlations between the damping factor per unit mass and the bars free length. In order to obtain these correlations, we have considered the next free lengths of the bars: 200, 230, 260, 290, 320, 350.

  20. 104例青年人黄斑色素密度的调查分析%Analysis of correlative factors of macular pigment optical density in 104 young people

    Institute of Scientific and Technical Information of China (English)

    董宁; 肖林; 禇利群; 王冰松; 姚晶磊; 苏哲

    2012-01-01

    目的 研究中国青年人黄斑色素密度(MPOD),以及MPOD与屈光度、性别、吸烟、饮酒、年龄相关性黄斑变性家族史等相关因素的分析.方法 2007级和2008级就读于北京大学医学部预防医学系学生56人以及社会青年志愿者48人,共计104人,208只眼纳入研究,所有受试者完整回答调查问卷,包括是否有吸烟史、饮酒史、黄斑变性家族史等问题,并进行统一流程的屈光度的检查,所有受试者采用异色闪烁光度测量法进行黄斑色素密度的测量.结果 全部受试者共208只眼的MPOD均值为0.625±0.191,对所有男性与女性、主导眼与非主导眼、有吸烟史与无吸烟史和有饮酒史与无饮酒史的MPOD值进行比较,差异无统计学意义;对有黄斑变性家族史与无家族史的研究者MPOD值进行比较,差异有统计学意义;MPOD值与屈光度无相关性(r=-0.107,P=0.124).结论 有黄斑变性家族史的青年人MPOD值下降.%Objective To survey macular pigment optical density of young people in China, as well as the relationship between MPOD and correlative factors, such as refractive diopter, gender, smoking, alcohol consumption, and family history of age-related macular degeneration. Methods 48 community youth volunteers and 56 students of 2007 or 2008 ,studied at department of preventive medicine,college of health science,Peking University,were enrolled in the study. All participants completed a simple questionnaire, including smoking history, drinking history, family history of macular degeneration, and a unified examination of refraction process. All the subjects used heterochromatic flicker photometry method for measuring macular pigment optical density. Results The mean of MPOD value of 208 eyes was (0. 625 I 0. 191). There was no significant difference between male researchers and female researchers,non-dominant eye and dominant eye, subjects without smoking and with smoking, subjects without drinking and with drinking

  1. The LZIP: A Bayesian latent factor model for correlated zero-inflated counts.

    Science.gov (United States)

    Neelon, Brian; Chung, Dongjun

    2017-03-01

    Motivated by a study of molecular differences among breast cancer patients, we develop a Bayesian latent factor zero-inflated Poisson (LZIP) model for the analysis of correlated zero-inflated counts. The responses are modeled as independent zero-inflated Poisson distributions conditional on a set of subject-specific latent factors. For each outcome, we express the LZIP model as a function of two discrete random variables: the first captures the propensity to be in an underlying "at-risk" state, while the second represents the count response conditional on being at risk. The latent factors and loadings are assigned conditionally conjugate gamma priors that accommodate overdispersion and dependence among the outcomes. For posterior computation, we propose an efficient data-augmentation algorithm that relies primarily on easily sampled Gibbs steps. We conduct simulation studies to investigate both the inferential properties of the model and the computational capabilities of the proposed sampling algorithm. We apply the method to an analysis of breast cancer genomics data from The Cancer Genome Atlas. © 2016, The International Biometric Society.

  2. 重症感染合并血小板减少症的影响因素及其相关性分析%Influence factors and correlation analysis for thrombocytopenia combine with severe infection

    Institute of Scientific and Technical Information of China (English)

    陈涛

    2016-01-01

    目的:探讨 ICU 危重感染患者并发血小板减少症的影响因素,为临床防治和对患者预后的判断提供参考依据。方法回顾性分析2014年5月至2014年12月收住该院重症医学科的76例重症感染患者(男39例,女37例)的资料。以并发血小板减少症为 A 组(40例),无血小板减少症为 B 组(36例),考察重症感染患者并发血小板减少症的影响因素及预后差异。结果患者年龄、白细胞计数、中性粒细胞比例、革兰阴性菌感染、呼吸系统感染与重症感染患者并发血小板减少症具有相关性(P <0.05),两组患者 ICU 停留时间和病死率差异有统计学意义(P<0.05)。结论临床需重视对危重感染患者的血小板计数监测,对年龄大、因呼吸系统感染尤其合并有革兰阴性菌感染的患者,应重点干预和及时发现问题予以防治以改善其不良预后。%Objective To explore the influence factors of thrombocytopenia in patients with severe infection in ICU ,so as to provide a reference for clinic prevention and treatment and the judgment of prognosis .Methods 76 patients(39 male ,37 female) with severe infection from May 2014 to December 2014 were retrospectively analyzed in this hospital .Among them there were 40 cases with thrombocytopenia (Group A ) ,and 36 patients without thrombocytopenia (group B) .Influence factors and prognosis differences were investigated for thrombocytopenia combine with severe infection .Results There was correlation between the age , numeration of leukocyte ,neutrophil ratio ,gram negative bacteria infection ,respiratory infection and severe infection combine with thrombocytopenia(P < 0 .05 ) ,ICU dwell time and mortality differences between the two groups was statistic significance ( P<0 .05) .Conclusion Platelet count should be monitored in patients with severe infection ,especially in those with old age ,respiratory infections ,Gram negative

  3. [Vulvovaginitis: correlation with predisposing factors, clinical manifestations and microbiological studies].

    Science.gov (United States)

    Fosch, S; Fogolín, N; Azzaroni, E; Pairetti, N; Dana, L; Minacori, H; Tita, I; Redona, M; Gribaudo, G

    2006-01-01

    Vaginitis (V) and bacterial vaginosis (BV) are one of the most common reasons the middle class patient has to consult a gynaecologist. The purpose of this work is to analyse samples of vaginal fluid targeting the infection etiology and its relationship to related factors: (intrauterine devices, contraceptive pills, condoms, use of antibiotics), symptoms and signs. From November 1, 2001 to October 30, 2003, a cross-section study was carried out of 400 nonpregnant, sexually active women in an age range of 15 to 55. Vaginal secretions were analysed by Gram and Giemsa stains and culturing was used. Interpreting: (1) normal--no observable changes, absence of the infecting agents studied here; (2) infected--changes observed: bacterial vaginosis, vaginal candidiasis (CV) and trichomoniasis (TC) and (3) imbalance in vagina ecology, with medium alterations (D). Results obtained: (1) normal: 209 (52.2%); infected: 115 (28.8%) including 13.5% VB, 12.5% CV, 2.8% TC, and (3) 76 (19%) with imbalance of vagina ecology. Bacterial vaginosis and flora imbalance were related to the use of intrauterine devices, and candidiasis to contraceptive pills and previous antibiotic use. The number of symptoms increased in patients with vaginal candidiasis and trichomoniasis.

  4. Replica Analysis for Portfolio Optimization with Single-Factor Model

    Science.gov (United States)

    Shinzato, Takashi

    2017-06-01

    In this paper, we use replica analysis to investigate the influence of correlation among the return rates of assets on the solution of the portfolio optimization problem. We consider the behavior of an optimal solution for the case where the return rate is described with a single-factor model and compare the findings obtained from our proposed methods with correlated return rates with those obtained with independent return rates. We then analytically assess the increase in the investment risk when correlation is included. Furthermore, we also compare our approach with analytical procedures for minimizing the investment risk from operations research.

  5. 基于典型相关分析法的顾客生命周期影响因素的实证研究%An empirical study on the factors of customer lifetime cycle based on the method of canonical correlation analysis

    Institute of Scientific and Technical Information of China (English)

    孙颖

    2011-01-01

    基于安徽省水泥行业B2B市场顾客的抽样调查数据,运用典型相关分析法实证研究水泥行业顾客生命周期的影响因素.利用SPSS13.0统计分析软件分析实证数据,通过因子分析、典型相关分析等方法研究顾客满意、顾客价值、顾客信任及其子因素与顾客生命周期之间的关系.结果表明,顾客满意、顾客价值和顾客信任是影响顾客生命周期的三大重要因素.%This paper chooses the customers of cement industry in B2B market to be the sampling data of investigation.It analyzes the three factors of customer lifetime cycle based on canonical correlation analysis.By the SPSS 13.0,this paper analyzes the relationships between the customer satisfaction,customer value and customer trust and customer lifetime cycle using the factor analysis and canonical correlation analysis.The results indicate that customer satisfaction,customer value and customer trust are the three major factors of customer lifetime cycle and they all have sub-factors.The cement businesses could make use of the factors to calculate and forecast the customer keeping rate,and take different measures to maintain good customer relationship.

  6. Correlation between hygienic-dietary habits and casdiovascular risk factors in young adults argentine

    Directory of Open Access Journals (Sweden)

    Melina Erben

    2014-12-01

    Full Text Available Introduction: According to the World Health Organization, the cardiovascular disease (ECV is one of the most important public health problem in the world. The aim of this study was to evaluate the prevalence of ECV factors in a young adult population, and establish the interrelation of these variables through multivariate statistical analysis.Material and Methods: In a sample of 53 individuals of both sexes (18-30 years old, were carried out hygienic-dietary habits surveys, two reminders of 24 hours, anthropometric measurements (weight, height and a blood lipid profile: total cholesterol (Col, HDL, LDL and triglycerides (TG and Castelli Index (CI was calculated.Results: The mean values of Col, HDL, LDL, TG and IC were 183±32, 49.5±18, 107.5±29, 114±101, 4.21±1.85, respectively. 66% of individuals exhibited a disturbance in one or more blood lipids analyzed, 41% were overweight, 60% did not physical activity, 45% had a caloric intake above recommendations, 80% consumed more fat than recommended, 9.4% drank alcohol and 13.2% smoked. Through multivariate analysis was found a correlation between altered lipids profile, physical inactivity, Kcal. and fat excess intake. Moreover, association between normal lipids profile, physical activity and Kcal. and fat intake insufficient and adequate was found.Conclusions: There is a high prevalence of factors associated with ECV in the study population, and were found a correlation of the following risk factors: altered lipid profile, physical inactivity, Kcal. intake and excess fat.

  7. Factors that determine self-reported immunosuppressant adherence in kidney transplant recipients: a correlational study.

    Science.gov (United States)

    Weng, Li-Chueh; Yang, Ya-Chen; Huang, Hsiu-Li; Chiang, Yang-Jen; Tsai, Yu-Hsia

    2017-01-01

    To determine the factors related to immunosuppressant therapy adherence in kidney transplant recipients in Taiwan. Adherence to immunosuppressant treatment is critical after kidney transplantation. Thus, the factors associated with self-reported medication adherence in kidney transplant recipients warrant investigation. The study used a cross-sectional and correlation design. A convenience sample of 145 kidney transplant recipients was included. Structured questionnaires were used to collect data during 2012-2013. Multivariate linear regression was used to examine the factors related to immunosuppressant therapy adherence. Over half of the participants were female (54·5%), mean age was 45·5 years, and mean year after transplant was 7·4. The mean score for medication adherence was 29·73 (possible score range 7-35). The results of the multivariate linear regression analysis showed that gender (male), low income with a high school or college education, years after transplantation and concerns about medication taking were negatively associated with adherence. Medication self-efficacy was positively associated with adherence. Therapy-related factors, partnerships with healthcare professionals and having private healthcare insurance did not significantly relate to immunosuppressant therapy adherence. Kidney transplant recipients demonstrated a high level of adherence. Strategies to enhance patients' self-efficacy and alleviate concerns about medication may promote medication adherence. Male patients, those with a lower income and those with a higher education level, should be a focus of efforts to maintain adherence to the medication regimen. © 2016 John Wiley & Sons Ltd.

  8. 肝豆状核变性病例回顾及与遗传以外因素的相关性分析%Case review of Wilson′s disease and correlation analysis of factors except heredity

    Institute of Scientific and Technical Information of China (English)

    蒋珊珊; 罗琛; 赵蕊; 贾庆雨; 陈茂伟

    2016-01-01

    目的:回顾性分析肝豆状核变性(WD )患者的临床分型、实验室和影像学检查,加强对该病的认识并提高诊断率。方法收集2011年1月至2014年9月该院确诊的WD患者的临床资料,并进行统计学分析。结果不同年龄、民族、性别的WD患者,其初次发病年龄、临床分型、实验室检查均存在着一定的差异,男性患者的发病年龄明显早于女性,神经型WD患者的M RI均存在低密度影改变。结论遗传并不是影响WD的唯一因素,性别、年龄、民族也可能是影响WD患者初次发病年龄及临床症状的因素之一。%Objective To retrospectively analyze the clinical classification ,laboratory and imageological examinations of Wil‐son′s disease for strengthening the cognition on this disease and increasing the diagnosis rate .Methods The clinical data of the pa‐tients with WD in our hospital from January 2011 to September 2014 ,were collected and performed the statistical analysis .Results Among different ages ,nationalities and genders of WD patients ,first onset age ,clinical classification and laboratory examination had some difference ,the average age of first onset in male WD patients was earlier than that in female WD patients ,the low density shadow change of nervous type WD existed in MRI .Conclusion Heredity is not a unique factor affecting WD ,gender ,age and na‐tionality may be one of factors affecting the first onset age and clinical symptoms in the WD patients .

  9. Factors correlating with significant differences between X-ray structures of myoglobin

    Energy Technology Data Exchange (ETDEWEB)

    Rashin, Alexander A., E-mail: alexander-rashin@hotmail.com [BioChemComp Inc., 543 Sagamore Avenue, Teaneck, NJ 07666 (United States); Iowa State University, 112 Office and Lab Bldg, Ames, IA 50011-3020 (United States); Domagalski, Marcin J. [University of Virginia, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA 22908 (United States); Zimmermann, Michael T. [Iowa State University, 112 Office and Lab Bldg, Ames, IA 50011-3020 (United States); Minor, Wladek [University of Virginia, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA 22908 (United States); Chruszcz, Maksymilian [University of Virginia, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA 22908 (United States); University of South Carolina, 631 Sumter Street, Columbia, SC 29208 (United States); Jernigan, Robert L. [Iowa State University, 112 Office and Lab Bldg, Ames, IA 50011-3020 (United States); BioChemComp Inc., 543 Sagamore Avenue, Teaneck, NJ 07666 (United States)

    2014-02-01

    Conformational differences between myoglobin structures are studied. Most structural differences in whale myoglobin beyond the uncertainty threshold can be correlated with a few specific structural factors. There are always exceptions and a search for additional factors is needed. The results might have serious implications for biological insights from conformational differences. Validation of general ideas about the origins of conformational differences in proteins is critical in order to arrive at meaningful functional insights. Here, principal component analysis (PCA) and distance difference matrices are used to validate some such ideas about the conformational differences between 291 myoglobin structures from sperm whale, horse and pig. Almost all of the horse and pig structures form compact PCA clusters with only minor coordinate differences and outliers that are easily explained. The 222 whale structures form a few dense clusters with multiple outliers. A few whale outliers with a prominent distortion of the GH loop are very similar to the cluster of horse structures, which all have a similar GH-loop distortion apparently owing to intermolecular crystal lattice hydrogen bonds to the GH loop from residues near the distal histidine His64. The variations of the GH-loop coordinates in the whale structures are likely to be owing to the observed alternative intermolecular crystal lattice bond, with the change to the GH loop distorting bonds correlated with the binding of specific ‘unusual’ ligands. Such an alternative intermolecular bond is not observed in horse myoglobins, obliterating any correlation with the ligands. Intermolecular bonds do not usually cause significant coordinate differences and cannot be validated as their universal cause. Most of the native-like whale myoglobin structure outliers can be correlated with a few specific factors. However, these factors do not always lead to coordinate differences beyond the previously determined uncertainty

  10. 160例前置胎盘与产后出血相关因素调查分析%160 Cases of Placenta Previa and Postpartum Hemorrhage Correlation Fac-tor Analysis

    Institute of Scientific and Technical Information of China (English)

    刘艳

    2015-01-01

    Objective To analyze the related factors of postpartum hemorrhage in patients with placenta previa, provides the sci-ence for clinical treatment. Methods 160 patients with placenta previa, according to whether the postpartum hemorrhage were di-vided into the control group of 116 cases, the observation group of 44 cases. Results The patients in the observation group were significantly higher than the control group, the difference was statistically significant(P<0.05);the observation group maternal time is more than 2 times, a history of uterine surgery, preterm labor patients were significantly higher than the control group, the dif-ference was statistically significant(P<0.05);constituent ratio of different patients in the observation group and the control group of patients with placenta previa types, the difference was statistically significant (P<0.05);multiple factor analysis showed that age, parity and uterine surgery history and preterm labor patients more prone to postpartum hemorrhage, and marginal placenta previa, partial and complete placenta previa postpartum hemorrhage is more likely to appear. Postpartum hemorrhage is associated with many factors. Conclusion Patients with placenta previa, comprehensive consideration should be the treatment process.%目的:分析前置胎盘患者发生产后出血的相关因素,为临床治疗提供科学。方法160前置胎盘患者,按照是否出现产后出血分为对照组116例,观察组44例。结果单因素分析显示:观察组患者年龄明显高于对照组,差异有统计学意义(P<0.05);观察组孕产次≥2次、有子宫手术史、早产患者比例明显高于对照组,差异有统计学意义(P<0.05);观察组患者与对照组患者前置胎盘类型构成比不同,差异有统计学意义(P<0.05);多因素分析结果显示:年龄高、产次多、有子宫手术史及早产患者更容易出现产后出血,同时与边缘性前置胎盘比较,部分性和完全性

  11. 泛耐药鲍曼不动杆菌医院获得性感染相关因素分析%Correlation factor analysis of pan-drug resistant Acinetobacter baumannii strains in acquired infections

    Institute of Scientific and Technical Information of China (English)

    黄艳飞; 王俊瑞; 顾海彤; 尚欣荣; 曹晶晶; 王玫; 范艳艳; 隋文君; 鲁辛辛

    2011-01-01

    ObjectiveTo explore the clinical factors, drug resistance and molecular epidemiology homologous characteristics of pan-drug resistant Acinetobacter baumannii ( PDRAB ) in acquired infections and analyze the correlation factor between epidemic characteristics and acquired infections.MethodsA total of 60 PDRAB strains from nine acquired infections and related clinic data were collected from January 2009 to January 2011.The drug-resistant phenotype was tested by disk diffusion methods.The isolate identification and homology were studied by automation repetitive-element sequence-based (REP)-PCR typing platform from genes and matrix-assisted laser desorption ionization-time of flight mass spectrometry ( MALDI-TOF-TOF MS) from proteins. ResultsAll strains were resistant to 12 antibiotics except 2 strains to imipenem and meropenem. The strains in this study were divided into 12 types (A-L) by REP-PCR. And 60 strains were also clustered to a-e types by MALDI-TOF-TOF MS. Compared with MALDI-TOF-TOF MS,REP-PCR tended to be more accurate.Breathing machine carriage and cross transmission were the main reasons for a major epidemic outbreak at department of pulnonary medicine from July 2009 to October 2009.Hand transmission of medical care personnel was a key factor for SICU 2010 January to February.The contamination and transmission to environment of PDRAB innasal pharynx or respiratory tract by superspreader were the main reasons for the other 7 epidemic outbreaks. Department of emergency medicine was the source of acquired infections. ConclusionThe key control measures of acquired infections are early identification and isolation of spreader, environment and instrument disinfection, hand washing and rational uses of antibiotics. MALDI-TOF-TOF MS will become a preferred tool of identification and classification of microorganisms because of its simple operation, affordable price and handling rapidity.%目的 研究泛耐药鲍曼不动杆菌(PDRAB)医院获得性感染的临

  12. Analysis of correlation between corneal topographical data and visual performance

    Science.gov (United States)

    Zhou, Chuanqing; Yu, Lei; Ren, Qiushi

    2007-02-01

    Purpose: To study correlation among corneal asphericity, higher-order aberrations and visual performance for eyes of virgin myopia and postoperative laser in situ keratomileusis (LASIK). Methods: There were 320 candidates 590 eyes for LASIK treatment included in this study. The mean preoperative spherical equivalence was -4.35+/-1.51D (-1.25 to -9.75), with astigmatism less than 2.5 D. Corneal topography maps and contrast sensitivity were measured and analyzed for every eye before and one year after LASIK for the analysis of corneal asphericity and wavefront aberrations. Results: Preoperatively, only 4th and 6th order aberration had significant correlation with corneal asphericity and apical radius of curvature (pcorneal asphericity (pcorneal aberrations had no significant correlation with visual acuity and area under the log contrast sensitivity (AULCSF) (P>0.05). Postoperatively, corneal aberrations still didn't have significant correlation with visual acuity (P>0.05), but had significantly negative correlation with AULCSF (PCorneal asphericity had no significant correlation with AULCSF before and after the treatment (P>0.05). Conclusions: Corneal aberrations had different correlation with corneal profile and visual performance for eyes of virgin myopia and postoperative LASIK, which may be due to changed corneal profile and limitation of metrics of corneal aberrations.

  13. Correlation analysis of PCB and comparison of test-analysis model reduction methods

    Institute of Scientific and Technical Information of China (English)

    Xu Fei; Li Chuanri; Jiang Tongmin; Rong Shuanglong

    2014-01-01

    The validity of correlation analysis between finite element model (FEM) and modal test data is strongly affected by three factors, i.e., quality of excitation and measurement points in modal test, FEM reduction methods, and correlation check techniques. A new criterion based on modified mode participation (MMP) for choosing the best excitation point is presented. Comparison between this new criterion and mode participation (MP) criterion is made by using Case 1 with a simple printed circuit board (PCB). The result indicates that this new criterion produces better results. In Case 2, 35 measure-ment points are selected to perform modal test and correlation analysis while 9 selected in Case 3. System equivalent reduction expansion process (SEREP), modal assurance criteria (MAC), coordinate modal assurance criteria (CoMAC), pseudo orthogonality check (POC) and coordinate orthogonality check (CORTHOG) are used to show the error introduced by modal test in Cases 2 and 3. Case 2 shows that additional errors which cannot be identified by using CoMAC can be found by using CORTHOG. In both Cases 2 and 3, Guyan reduction, improved reduced system (IRS) method, SEREP and Hybrid reduction are compared for accuracy and robustness. The results suggest that the quality of the reduction process is problem dependent. However, the IRS method is an improvement over the Guyan reduction, and the Hybrid reduction is an improvement over the SEREP reduction.

  14. Correlation analysis of PCB and comparison of test-analysis model reduction methods

    Directory of Open Access Journals (Sweden)

    Xu Fei

    2014-08-01

    Full Text Available The validity of correlation analysis between finite element model (FEM and modal test data is strongly affected by three factors, i.e., quality of excitation and measurement points in modal test, FEM reduction methods, and correlation check techniques. A new criterion based on modified mode participation (MMP for choosing the best excitation point is presented. Comparison between this new criterion and mode participation (MP criterion is made by using Case 1 with a simple printed circuit board (PCB. The result indicates that this new criterion produces better results. In Case 2, 35 measurement points are selected to perform modal test and correlation analysis while 9 selected in Case 3. System equivalent reduction expansion process (SEREP, modal assurance criteria (MAC, coordinate modal assurance criteria (CoMAC, pseudo orthogonality check (POC and coordinate orthogonality check (CORTHOG are used to show the error introduced by modal test in Cases 2 and 3. Case 2 shows that additional errors which cannot be identified by using CoMAC can be found by using CORTHOG. In both Cases 2 and 3, Guyan reduction, improved reduced system (IRS method, SEREP and Hybrid reduction are compared for accuracy and robustness. The results suggest that the quality of the reduction process is problem dependent. However, the IRS method is an improvement over the Guyan reduction, and the Hybrid reduction is an improvement over the SEREP reduction.

  15. Development of colburn ` j' factor and fanning friction factor ` f' correlations for compact heat exchanger plain fins by using CFD

    Science.gov (United States)

    Bala Sundar Rao, R.; Ranganath, G.; Ranganayakulu, C.

    2013-07-01

    A numerical model has been developed for plain fin of plate fin heat exchanger. Plain fin performance has been analyzed with the help of CFD by changing the various parameters of the fin, Colburn ` j' and fanning friction ` f' factors are calculated. These values compared with the standard values. The correlations have been developed between Reynolds number Re, fin height h, fin thickness t, fin spacing s, Colburn factor ` j' and friction factor ` f'.

  16. Topology Studies of Hydrodynamics Using Two-Particle Correlation Analysis

    Science.gov (United States)

    Takahashi, J.; Tavares, B. M.; Qian, W. L.; Andrade, R.; Grassi, F.; Hama, Y.; Kodama, T.; Xu, N.

    2009-12-01

    The effects of fluctuating initial conditions are studied in the context of relativistic heavy ion collisions where a rapidly evolving system is formed. Two-particle correlation analysis is applied to events generated with the NEXSPHERIO hydrodynamic code, starting with fluctuating nonsmooth initial conditions (IC). The results show that the nonsmoothness in the IC survives the hydroevolution and can be seen as topological features of the angular correlation function of the particles emerging from the evolving system. A long range correlation is observed in the longitudinal direction and in the azimuthal direction a double peak structure is observed in the opposite direction to the trigger particle. This analysis provides clear evidence that these are signatures of the combined effect of tubular structures present in the IC and the proceeding collective dynamics of the hot and dense medium.

  17. Topology studies of hydrodynamics using two particle correlation analysis

    CERN Document Server

    Takahashi, J; Qian, W L; Grassi, F; Hama, Y; Kodama, T; Xu, N

    2009-01-01

    Two particle correlation analysis is applied to events generated with the NEXSPHERIO hydrodynamic evolution code starting with fluctuating non-smooth initial conditions. Results show that the non-smoothness in the initial distributions survives the hydro-evolution and can be seen as topological features in the correlation function. Long range angular correlation in the longitudinal direction and a double peak structure in the azimuthal direction opposite to the trigger particle direction were observed, similar to features observed in the experimental data. This analysis provides clear evidence that these are signatures of the combined effect of tubular structures present in initial conditions, originated from the interactions of the energetic particles, and the proceeding collective dynamics of the hot and dense medium created in heavy ion collisions.

  18. Sliding window correlation analysis for dengue-climate variable relationship

    Science.gov (United States)

    Thiruchelvam, Loshini; Asirvadam, Vijanth S.; Dass, Sarat C.; Daud, Hanita; Gill, Balvinder S.

    2016-11-01

    This study discussed building of sliding windows to analyze the relationship between dengue incidences and weather variables of mean temperature, relative humidity and rainfall, across the timeline. A window sized of 20 was selected and applied to find correlation between dengue incidences and each of the weather variable. A few time lag of zero, two, four, six, and eight is compared and the time lag with best correlation is selected for each weather variable. Study did not found a good insight for analysis using mean temperature and relative humidity. For both these variables, it was suggested dengue incidences is better measured using fluctuation of maximum and minimum values. Analysis using rainfall variable was found to vary across the timeline in magnitude and direction of the correlation. Time lag of eight was found to be the most significant explaining the relationship between dengue incidences and rainfall variable.

  19. Analysis for psychological counseling and its correlated factors in nursing staffs.%护士寻求心理咨询状况及相关因素分析

    Institute of Scientific and Technical Information of China (English)

    柯熹; 许乐; 杨美丽; 李琳; 梁冰

    2008-01-01

    目的 了解护士心理咨询状况,探讨护士的基本特征、身心状况、自我效能以及应付方式与心理咨询状况的关系.方法 采用问卷方式对1350名护士进行横断面调查,问卷内容包括一般资料及心理咨询状况,焦虑、抑郁自评量表(SAS/SDS),疲劳量表-14(FS-14),一般自我效能感量表(GSES),应付方式问卷((CSQ).结果 有7.63%的护士曾经求助于专业的心理咨询,其主要的咨询原因为家庭关系问题和工作相关问题,不同年龄、婚姻状况的护士心理咨询比例存在差别(P<0.05);不同咨询史护士的焦虑,躯体疲劳,脑力疲劳程度不同(P<0.05);不成熟型应付方式护士的心理咨询比例明显高于成熟型及混合型应付方式者(P<0.01).结论 重视护士工作压力的同时不应忽视其家庭相关性问题,同时不成熟型应付方式的护士应成为护理管理者主要关注的对象.%Objective To investigate a current state of psychological counseling and its correlated factors including baseline characteristics of nurses,physiologic and psychological status,general self-efficacy scale in nursing staffs.Methods A cross-sectional study which included l350 nurses.was conducted with questionnaire.The following iterns were involred:baseline characteristics of nurses included and their current state of psychological counseling;Self-rating Anxious and Depressive Scale;General Self-Efficacy Scale;Coping style questionnaire.Results Among l350 nurses,103(7.63%)had a history of receiving professional psychological counseling,the main reason included occupation,relationship of husband and wife,education for their children.There were significant difference in history of receiving professional psychological counseling among those who had different age and state of marriage.as well as in anxious,the degree of somato-and psycho- fatigue in those who had different times of receiving professional psychological counseling(P<0.05).The nurses

  20. On discriminant analysis techniques and correlation structures in high dimensions

    DEFF Research Database (Denmark)

    Clemmensen, Line Katrine Harder

    This paper compares several recently proposed techniques for performing discriminant analysis in high dimensions, and illustrates that the various sparse methods dier in prediction abilities depending on their underlying assumptions about the correlation structures in the data. The techniques...... generally focus on two things: Obtaining sparsity (variable selection) and regularizing the estimate of the within-class covariance matrix. For high-dimensional data, this gives rise to increased interpretability and generalization ability over standard linear discriminant analysis. Here, we group...

  1. 急性脑梗死患者阿司匹林抵抗及相关因素分析%Correlative factors analysis of aspirin resistance in patients with acute cerebral infraction

    Institute of Scientific and Technical Information of China (English)

    马争飞; 钟平; 张雷; 汪国胜; 张蕾

    2015-01-01

    Objective To investigate the prevalence of aspirin resistance in the patients with acute cerebral infarction and the correlative factors of aspirin resistance in the patients with acute cerebral infarction who had taken aspirin regularly.Methods All of 176 patients with acute cerebral infarction were from the Department of Neurology, Suzhou Municipal Hospital during from October 2010 to November 2011.According to they had been admitted to hospital whether or not oral aspirin divided into two groups:had medicated 31 cases, unmedicated 145 cases.All patients in the groups taken aspirin regularly (100mg・ d-1 ) for a week, then observed the prevalence of aspirin resistance in two groups.Analysed the results of the index of blood test,sex, clinical disease and so on between aspirin resistance and aspirin sensitive in the patients.Results There were 27 cases with aspirin resistance in 176 patients of acute cerebral infarction, the incidence was 15.3% and 97 cases with aspirin semi-resistance in 176 patients of acute cerebral infarction, the incidence was 55.1%.The incidence rate of aspirin resistance in the patients with acute cerebral infarction has no obvious relationship to whether or not oral aspirin before they had been admitted to hospital.Aspirin resistant were most likely to be women, the platelet count, white blood cell count and glycosylated hemoglobin levels of aspirin resistance were on the high side compared with aspirin sensitive .The difference was remarkable (P<0.05).Conclusion Aspirin resistance really existed in the patients with acute cerebral infarction who had taken aspirin regularily.The event of aspirin resistance and aspirin semi-resistance are likely correlated with sex, platelets, white blood cells and glycosylated hemoglobin.%目的:观察急性脑梗死患者阿司匹林抵抗发生情况及影响急性脑梗死患者阿司匹林抵抗的相关因素。方法2010年10月-2011年11月在我院神经内科住院治疗的176例急性

  2. Auto-correlation analysis of ocean surface wind vectors

    Indian Academy of Sciences (India)

    Abhijit Sarkar; Sujit Basu; A K Varma; Jignesh Kshatriya

    2002-09-01

    The nature of the inherent temporal variability of surface winds is analyzed by comparison of winds obtained through different measurement methods. In this work, an auto-correlation analysis of a time series data of surface winds measured in situ by a deep water buoy in the Indian Ocean has been carried out. Hourly time series data available for 240 hours in the month of May, 1999 were subjected to an auto-correlation analysis. The analysis indicates an exponential fall of the auto- correlation in the first few hours with a decorrelation time scale of about 6 hours. For a meaningful comparison between satellite derived products and in situ data, satellite data acquired at different time intervals should be used with appropriate `weights', rather than treating the data as concurrent in time. This paper presents a scheme for temporal weighting using the auto-correlation analysis. These temporal `weights' can potentially improve the root mean square (rms) deviation between satellite and in situ measurements. A case study using the TRMM Microwave Imager (TMI) and Indian Ocean buoy wind speed data resulted in an improvement of about 10%.

  3. Drivers and Outcomes of Scenario Planning: A Canonical Correlation Analysis

    Science.gov (United States)

    Chermack, Thomas J.; Nimon, Kim

    2013-01-01

    Purpose: The paper's aim is to report a research study on the mediator and outcome variable sets in scenario planning. Design/methodology/approach: This is a cannonical correlation analysis (CCA) Findings Two sets of variables; one as a predictor set that explained a significant amount of variability in the second, or outcome set of variables were…

  4. Time series analysis : Smoothed correlation integrals, autocovariances, and power spectra

    NARCIS (Netherlands)

    Takens, F; Dumortier, F; Broer, H; Mawhin, J; Vanderbauwhede, A; Lunel, SV

    2005-01-01

    In this paper we relate notions from linear time series analyses, like autocovariances and power spectra, with notions from nonlinear times series analysis, like (smoothed) correlation integrals and the corresponding dimensions and entropies. The complete proofs of the results announced in this pape

  5. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    2002-01-01

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  6. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  7. Generic expansion of the Jastrow correlation factor in polynomials satisfying symmetry and cusp conditions

    Energy Technology Data Exchange (ETDEWEB)

    Lüchow, Arne, E-mail: luechow@rwth-aachen.de [Institute of Physical Chemistry, RWTH Aachen University, 52056 Aachen (Germany); Jülich Aachen Research Alliance (JARA-HPC), 52056 Aachen (Germany); Sturm, Alexander; Schulte, Christoph; Haghighi Mood, Kaveh [Institute of Physical Chemistry, RWTH Aachen University, 52056 Aachen (Germany)

    2015-02-28

    Jastrow correlation factors play an important role in quantum Monte Carlo calculations. Together with an orbital based antisymmetric function, they allow the construction of highly accurate correlation wave functions. In this paper, a generic expansion of the Jastrow correlation function in terms of polynomials that satisfy both the electron exchange symmetry constraint and the cusp conditions is presented. In particular, an expansion of the three-body electron-electron-nucleus contribution in terms of cuspless homogeneous symmetric polynomials is proposed. The polynomials can be expressed in fairly arbitrary scaling function allowing a generic implementation of the Jastrow factor. It is demonstrated with a few examples that the new Jastrow factor achieves 85%–90% of the total correlation energy in a variational quantum Monte Carlo calculation and more than 90% of the diffusion Monte Carlo correlation energy.

  8. PROGNOSTIC FACTORS ANALYSIS FOR STAGEⅠ RECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    武爱文; 顾晋; 薛钟麒; 王怡; 徐光炜

    2001-01-01

    To explore the death-related factors of stageⅠrectal cancer patients. Methods: 89 cases of stage I rectal cancer patients between 1985 and 2000 were retrospectively studied for prognostic factors. Factors including age, gender, tumor size, circumferential occupation, gross type, pathological type, depth of tumor invasion, surgical procedure, adjuvant chemotherapy and postoperative complication were chosen for cox multivariate analysis (forward procedure) using Spss software (10.0 version). Results: multivariate analysis demonstrated that muscular invasion was an independent negative prognostic factor for stageⅠrectal cancer patients (P=0.003). Conclusion: Muscular invasion is a negative prognostic factor for stage I rectal cancer patients.

  9. Retrospective analysis of correlative factors between digestive system injury and anticoagulant or antiplatelet-agents%抗凝或抗血小板药物致消化系统损伤的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    崔凝; 罗和生

    2014-01-01

    Objective To explore the correlative factors and clinical characteristics of digestive system injury during the treatment of anticoagulant and (or) antiplatelet-agents.Methods A total of 1 443 hospitalized patients on anticoagulant and (or) antiplatelet-agents from January 2010 to December 2013 at Renmin Hospital of Wuhan University were analyzed retrospectively.Results Their length of hospital stay was from 5 to 27 days.Most of them were elderly males (n =880,61.0%) with an average age of(62 ± 6) years.1 138 patients (78.9%) were farmers,workers or someone without a specific occupation.During the treatment of anticoagulant/antiplatelet-agents,statistical difference existed (P =0.01) between positively and negatively previous digestive disease groups for actively newly occurring digestive system injury (16.0%(41/256) vs 15.9% (189/1 187)).After the dosing of anticoagulant and (or) antiplatelet-agents,57(66.3%,57/86) patients were complicated by hemorrhage of digestive tract,taking 62.9% (61/97) of all positive result patients for Helicobacter pylori test.Comparing preventive PPI group with no PPI group,there was no marked statistical differences (P =2.67) for digestive system complication (including hemorrhage of digestive tract) while receiving anticoagulant and (or) antiplatelet-agents (13.9% (74/533) vs 17.1%(156/910)).During anticoagulant and/or antiplatelet-agent therapy,185 patients (12.8%) were complicated by peptic ulcer or peptic ulcer with bleeding,40 patients (2.8%) had erosive gastritis and 5 (0.3%) developed acute gastric mucosal lesions.And 42 of 76 patients complicated by hemorrhage of digestive tract underwent endoscopic hemostasis while 2 patients were operated.Ninety-seven patients (6.7%)died,including 61 (62.9%,61/97) from hemorrhage of digestive tract.The remainder became cured,improved and discharged.Moreover,no significant statistical differences existed (P =2.29) among three combination group (aspirin

  10. Discriminatory Analysis II. Factor Analysis and Discrimination

    Science.gov (United States)

    1950-10-01

    Press, � PP. ANASTASI, A. (see Garpett, Hi. E.). AvNDER630NJ T. ’W.,, 1 )46. The asyraptotic distrib’utions of the * roo’ts of cartain determinantal ... determinantal equation. J. Lond. Mathi Spo., 16# 183,194." HSU, P. L., l941ic. On the limiting distribution of the canoni- cal co(rrelations. Biom4, 32...Journal oT Gerletics. 6i< U. Psyclh~. Journal of ’Psych-1oby. ’BF1.j61 * ~~AbbreviationTi’ J. Soc. Psyoht’ Journal Of- SOCial Psycho~logy.- AM2t5l.ALJ. J

  11. 糖尿病肾病患者血压节律异常影响因素分析%Analysis on correlation among influencing factors of abnormal blood pressure rhythm in patients with diabetic nephropathy

    Institute of Scientific and Technical Information of China (English)

    马红; 杨杰

    2016-01-01

    目的:分析糖尿病肾病(DN)患者血压节律异常的影响因素,探寻血压节律异常与临床和病理表现之间的关系。方法选取2004年5月至2014年5月该院门诊或住院经肾活检确诊为DN并行24 h动态血压监测的患者104例作为研究对象,收集患者临床资料及实验室指标,回顾性分析其临床、病理特点,探讨临床表现、病理特征与血压节律异常的关系。结果104例DN患者中,非杓型血压66例,占63.5%;杓型血压38例,占36.5%。非杓型血压患者糖尿病病程、胱抑素C、血肌酐、血尿酸(UA)、尿蛋白/肌酐、尿N-乙酰-β-D-氨基葡萄糖苷酶、糖化血红蛋白水平均显著高于杓型血压组,而肾小球滤过率估计值、血清清蛋白、血红蛋白均显著低于杓型血压组,差异均有统计学意义(P<0.05)。肾组织学损伤指标中非杓型血压组间质小管及血管评分、肾小管萎缩与间质纤维化(IFTA)>25%、动脉内膜增厚、系膜增生大于25%、KW结节、肾小球球性硬化大于25%、微血管瘤发生率显著高于杓型血压组,差异均有统计学意义(P<0.05)。多因素logistic回归分析校正后显示,UA、间质小管及血管评分、IFTA>25%是DN患者血压节律异常的影响因素。结论DN患者血压节律异常是普遍存在的临床表现,可以独立于血压水平存在,其发生率与糖尿病基础疾病及慢性肾脏病的进展,特别是肾小管间质损害情况密切相关。%Objective To analyze the influencing factors of abnormal blood pressure rhythm in the patients with diabetic nephropathy(DN) and to explore the correlation between abnormal blood pressure rhythm and clinicopathological manifestations. Methods A total of 104 outpatients and inpatients diagnosed as DN by renal biopsy and undergoing the 24 h-ambulatory blood pressure monitory in our hospital from May 2004 to May 2014 were selected as the research

  12. 先兆子痫患者视网膜病变相关因素的临床分析%The clinical analysis on the correlation factors of retinopathy in patients with preeclampsia

    Institute of Scientific and Technical Information of China (English)

    孙涛; 吴昊; 曹晖; 许迅; 吴琪俊

    2010-01-01

    Objective To discuss the association between severity of retinopathy and various clinical and laboratory manifestations in the patients with preeclampsia.Methods Medical records of 78 patients with preeclampsia and 78 patients with pregnancy-induced hypertension( PIH) were reviewed.Parameters analyzed were retinopathy,age,systolic and diastolic blood pressure (BP),fetal birth weight,and various biochemical parameters.Spearman Rank Correlation and Ordinal Regression were used for statistical analysis.P<0.05was considered significant.Results The severity of retinopathy was found to be inversely related to fetal birth weight (β=□0.001,P=0.000) and positively related to serum uric acid level(β=0.14,P=0.000)in the patients with preeclampsia.Conclusions The severity of retinopathy in preeclampsia is directly related to the level of placental insufficiency and intrauterine growth retardation.%目的 探讨年龄、血压和新生儿体重以及实验室指标等多种因素与先兆子痫患者视网膜病变严重程度的相关性.方法 回顾性研究2007年1月至2009年5月期间足月分娩的产妇,78例先兆子痫患者作为研究组,78例妊娠高血压(pregnancy-induced hypertension,PIH)患者作为对照组.待分析变量包括视网膜病变等级、年龄、血压、新生儿体重和各种实验室指标.采用Spearman等级相关分析联合有序结果变量回归分析,综合判断多种因素与视网膜病变严重程度的相关性,P<0.05视为具有统计学意义.结果 先兆子痫患者视网膜病变的严重程度与新生儿体重呈负相关(β=-0.001,P=0.000),与血清尿酸水平呈正相关(β= 0.014,P=0.000).结论 先兆子痫患者视网膜病变的严重程度与胎盘机能不全和胎儿宫内发育迟缓之间,具有直接相关性.

  13. Factor analysis improves the selection of prescribing indicators

    DEFF Research Database (Denmark)

    Rasmussen, Hanne Marie Skyggedal; Søndergaard, Jens; Sokolowski, Ineta

    2006-01-01

    OBJECTIVE: To test a method for improving the selection of indicators of general practitioners' prescribing. METHODS: We conducted a prescription database study including all 180 general practices in the County of Funen, Denmark, approximately 472,000 inhabitants. Principal factor analysis was used...... indicators directly quantifying choice of coxibs, indicators measuring expenditure per Defined Daily Dose, and indicators taking risk aspects into account, (2) "Frequent NSAID prescribing", comprising indicators quantifying prevalence or amount of NSAID prescribing, and (3) "Diverse NSAID choice", comprising...... appropriate and inappropriate prescribing, as revealed by the correlation of the indicators in the first factor. CONCLUSION: Correlation and factor analysis is a feasible method that assists the selection of indicators and gives better insight into prescribing patterns....

  14. Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution

    Science.gov (United States)

    Han, Fang; Liu, Han

    2016-01-01

    Correlation matrix plays a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of-the-art in estimating large correlation matrices focuses on the use of Pearson’s sample correlation matrix. Although Pearson’s sample correlation matrix enjoys various good properties under Gaussian models, its not an effective estimator when facing heavy-tail distributions with possible outliers. As a robust alternative, Han and Liu (2013b) advocated the use of a transformed version of the Kendall’s tau sample correlation matrix in estimating high dimensional latent generalized correlation matrix under the transelliptical distribution family (or elliptical copula). The transelliptical family assumes that after unspecified marginal monotone transformations, the data follow an elliptical distribution. In this paper, we study the theoretical properties of the Kendall’s tau sample correlation matrix and its transformed version proposed in Han and Liu (2013b) for estimating the population Kendall’s tau correlation matrix and the latent Pearson’s correlation matrix under both spectral and restricted spectral norms. With regard to the spectral norm, we highlight the role of “effective rank” in quantifying the rate of convergence. With regard to the restricted spectral norm, we for the first time present a “sign subgaussian condition” which is sufficient to guarantee that the rank-based correlation matrix estimator attains the optimal rate of convergence. In both cases, we do not need any moment condition.

  15. Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution.

    Science.gov (United States)

    Han, Fang; Liu, Han

    2017-02-01

    Correlation matrix plays a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of-the-art in estimating large correlation matrices focuses on the use of Pearson's sample correlation matrix. Although Pearson's sample correlation matrix enjoys various good properties under Gaussian models, its not an effective estimator when facing heavy-tail distributions with possible outliers. As a robust alternative, Han and Liu (2013b) advocated the use of a transformed version of the Kendall's tau sample correlation matrix in estimating high dimensional latent generalized correlation matrix under the transelliptical distribution family (or elliptical copula). The transelliptical family assumes that after unspecified marginal monotone transformations, the data follow an elliptical distribution. In this paper, we study the theoretical properties of the Kendall's tau sample correlation matrix and its transformed version proposed in Han and Liu (2013b) for estimating the population Kendall's tau correlation matrix and the latent Pearson's correlation matrix under both spectral and restricted spectral norms. With regard to the spectral norm, we highlight the role of "effective rank" in quantifying the rate of convergence. With regard to the restricted spectral norm, we for the first time present a "sign subgaussian condition" which is sufficient to guarantee that the rank-based correlation matrix estimator attains the optimal rate of convergence. In both cases, we do not need any moment condition.

  16. The Effects of Overextraction on Factor and Component Analysis.

    Science.gov (United States)

    Fava, J L; Velicer, W F

    1992-07-01

    The effects of overextracting factors and components within and between the methods of maximum likelihood factor analysis (MLFA) and principal component analysis (PCA) were examined. Computer-simulated data sets were generated to represent a range of factor and component patterns. Saturation (aij = .8, .6 & .4), sample size (N = 75, 150,225,450), and variable-to-component (factor) ratio (p:m = 12:1,6:1, & 4:1) were conditions manipulated. In Study 1, scores based on the incorrect patterns were correlated with correct scores within each method after each overextraction. In Study 2, scores were correlated between the methods of PCAand MLFA after each overextraction. Overextraction had a negative effect, but scores based on strong component and factor patterns displayed robustness to the effects of overextraction. Low item saturation and low sample size resulted in degraded score reproduction. Degradation was strongest for patterns that combined low saturation and low sample size. Component and factor scores were highly correlated even at maximal levels of overextraction. Dissimilarity between score methods was the greatest in conditions that combined low saturation and low sample size. Some guidelines for researchers concerning the effects of overextraction are noted, as well as some cautions in the interpretation of results.

  17. Genetic vs Environmental Factors That Correlate With Rosacea: A Cohort-Based Survey of Twins.

    Science.gov (United States)

    Aldrich, Nely; Gerstenblith, Meg; Fu, Pingfu; Tuttle, Marie S; Varma, Priya; Gotow, Erica; Cooper, Kevin D; Mann, Margaret; Popkin, Daniel L

    2015-11-01

    To our knowledge, this is the first study on rosacea to formally define genetic and environmental contributions. To study a cohort of identical and fraternal twins to determine whether genetic factors contribute to rosacea development and, if genetic factors are present, quantitatively estimate the genetic contribution, as well as to identify environmental factors that correlate with rosacea by controlling for genetic susceptibility. Identical and fraternal twins were surveyed regarding risk factors implicated in rosacea. Faculty dermatologists determined a rosacea score for each twin participant according to the National Rosacea Society (NRS) grading system. Data were collected at the annual Twins Days Festival in Twinsburg, Ohio, on August 4-5, 2012, and August 2-3, 2013. Analysis was conducted for several months after each meeting. A cohort of 550 twin individuals, with most from Ohio, Pennsylvania, and the northeastern United States, participated. The NRS score and rosacea subtype were assessed using the NRS grading system and physical examination by board-certified dermatologists. Among the 275 twin pairs (550 individuals), there were 233 identical twin pairs with a mean rosacea score of 2.46 and 42 fraternal twin pairs with a mean rosacea score of 0.75. We observed a higher association of NRS scores between identical vs fraternal twins (r = 0.69 vs r = 0.46; P = .04), demonstrating a genetic contribution. Using the ACE model (proportion of variance in a trait heritable secondary to additive genetics [A] vs the proportions due to a common environment [C] and unique environment [E]), we calculated this genetic contribution to be 46%. A higher NRS score was also significantly associated with the following factors: age (r = 0.38; P twins allows us to separate genetic susceptibility and the influence of environmental factors affecting rosacea. We found that approximately half of the contribution to the NRS score could be accounted for by genetics

  18. Kernel Factor Analysis Algorithm with Varimax

    Institute of Scientific and Technical Information of China (English)

    Xia Guoen; Jin Weidong; Zhang Gexiang

    2006-01-01

    Kernal factor analysis (KFA) with varimax was proposed by using Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and was compared with the kernel principle component analysis (KPCA). The results show that the best error rate in handwritten digit recognition by kernel factor analysis with varimax (4.2%) was superior to KPCA (4.4%). The KFA with varimax could more accurately image handwritten digit recognition.

  19. Stock Markets Correlation: before and during the Crisis Analysis

    Directory of Open Access Journals (Sweden)

    Ioana MOLDOVAN

    2011-08-01

    Full Text Available The article studies the correlations between the stock markets of the greatest financial centers in the world, namely New York, London and Tokyo, in two different time intervals, namely before the global crisis that erupted in 2007 and during it, in order to determine whether the stock markets correlate more strongly during increasing or decreasing trends. The results of the analysis, carried out by means of multiple regressions, show that the links between the three stock markets were more intense during the crisis, on a decreasing trend respectively, than before the financial turmoil, when the stock indexes had an upward trend.

  20. Analysis of the Correlation between GDP and the Final Consumption

    Directory of Open Access Journals (Sweden)

    Constantin ANGHELACHE

    2011-09-01

    Full Text Available This paper presents the results of the researches performed by the author regarding the evolution of Gross Domestic Product. One of the main aspects of GDP analysis is the correlation with the final consumption, an important macroeconomic indicator. The evolution of the Gross Domestic Product is highly influenced by the evolution of the final consumption. To analyze the correlation, the paper proposes the use of the linear regression model, as one of the most appropriate instruments for such scientific approach. The regression model described in the article uses the GDP as resultant variable and the final consumption as factorial variable.

  1. Analysis on Correlated Factors of Meniscal Healing after Suture with FasT-Fix Repairing%FasT-Fix修复半月板撕裂的愈合相关因素分析

    Institute of Scientific and Technical Information of China (English)

    赵程锦; 薛亮; 赵建宁

    2016-01-01

    Objective:The FasT-Fix device is a safe and efficient choice for all-inside meniscal repair. However, the correlated factors for meniscal healing are still controversial. Methods:All the paitents with me-niscal injury, admitted in our department from January 2014 to March 2015 as objects. The patients received arthroscopic meniscal repaire via FasT-Fix, under spinal anesthesia. The patients were followed up 6 months after the procedure. Physical examination and MRI were performed to detect the healing of the meniscus. The results were recorded according to different gender, age, BMI, disease course, history of trauma, injury clas-sification and post-operative immobilization. Results: A total of 133 cases. With the follow-up, 110 cases, had no clinical symptoms or no injury signal with MRI, were detected as meniscal healing (82.7%). The sta-tistical comparison showed that gender, age, O’ Conner classification, post-operative immobilization did not influence meniscal healing. While patients with BMI over 25kg/m2 , disease course longer than 6 weeks and patients without definite trauma history had lower healing rate. Conclusions:Patient with BMI over 25kg/m2, disease course longer than 6 weeks and unclear trauma history has negtive effects on menical healing after FasT-Fix repair.%目的::Fast-Fix半月板缝合系统是一种安全、有效的全关节腔内半月板缝合技术,目前对于半月板缝合术后的愈合影响因素仍不清楚。方法:2014年1月至2015年3月就诊于我科的半月板损伤患者,经关节镜探查证实为体后或后角的红区、红-白区损伤,在腰麻下行FasT-Fix 半月板缝合术。患者于术后6个月进行门诊随访,由手术医生根据Barrett标准进行体格检查;同时行膝关节MRI检查,观察缝合部位MRI表现。分别记录不同性别、年龄(≤45岁,>45岁)、BMI(≤25,>25)、病程(≤6周,>6周)、是否有外伤史、撕裂类型( O’ Connor分型)、术后制动时间(≤4

  2. Multiple factor analysis by example using R

    CERN Document Server

    Pagès, Jérôme

    2014-01-01

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

  3. 健康老年人功能状态丧失相关因素分析%Correlative factor analysis of loss of functional status in healthy elderly people

    Institute of Scientific and Technical Information of China (English)

    项建民

    2005-01-01

    关.老年人正常功能状态与社会支持、经济状况、心理和精神状态有关.%BACKGROUND: Health status of elderly people is an important problem concerned by the whole society. To find the way of preventing loss of functional status of daily life for elderly people is the key to generally improving the quality of life in elderly people.OBJECTIVE: To observe the main characteristics of function loss in healthy elderly people and analyze the influencing factors of the change of functional indexes in elderly people in normal functional status.DESIGN: Contrast observation; Logistic analysis.SETTING: Student's Office, Shangrao Normal College.PARTICIPANTS: All the data were from the sampling questionnaire survey on health status of 1 700 people including retired cadres and employees from 11 cities of Jiangxi province. The survey was conducted by Senile Physical Education Association of Jiangxi Province in January 2004.METHODS: The test was performed depending on 4 indexes in physical self-maintenance scale including dressing, taking food, bathing and toileting along with other indexes of shopping, calling, riding, going upstairs to the third floor, walking for 1 000 m, taking things by fingers and squatting & standing. These 11 indexes were used for evaluating the functional status of daily life in elderly people. According to international definition,people with difficulty in one or more indexes could be defined as ability loss of self-cave in daily life. The participants were demanded to give the score of difficulty in independently completing each activity including not difficult (1), somewhat difficult (2), very difficult (3), completely impossible (4). The total sum of 11 scores was defined as functional status index of daily life. Its value reflected the whole situation of functional status of daily life in elderly people. The higher the index was, the worse the functional status was. Comparison was conducted among groups of different gender and age

  4. Spouse correlations in cardiovascular risk factors and the effect of marriage duration.

    Science.gov (United States)

    Knuiman, M W; Divitini, M L; Bartholomew, H C; Welborn, T A

    1996-01-01

    Spouse correlations in cardiovascular risk factors were investigated using data on 2,836 spouse pairs collected in the Busselton Population Health Surveys over the period 1966-1981. The risk factors considered were systolic blood pressure, diastolic blood pressure, body mass index, triceps fatfold, cholesterol, and forced expiratory volume (1 second). Statistically significant positive correlations (p marriage duration (trend p forced expiratory volume (p = 0.16) also decreased with marriage duration, and correlations for cholesterol (p = 0.61) and triceps fatfold (p = 0.99) increased with marriage duration. These results suggest that there is spousal concordance in cardiovascular risk factors. The lack of consistent increasing trends in the correlations with marriage duration suggests that assortative mating may be a more likely explanation than the sharing of a common environment.

  5. Calculation of the molecular integrals with the range-separated correlation factor

    Energy Technology Data Exchange (ETDEWEB)

    Silkowski, Michał; Lesiuk, Michał, E-mail: lesiuk@tiger.chem.uw.edu.pl; Moszynski, Robert [Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw (Poland)

    2015-03-28

    Explicitly correlated quantum chemical calculations require calculations of five types of two-electron integrals beyond the standard electron repulsion integrals. We present a novel scheme, which utilises general ideas of the McMurchie-Davidson technique, to compute these integrals when the so-called “range-separated” correlation factor is used. This correlation factor combines the well-known short range behaviour resulting from the electronic cusp condition, with the exact long-range asymptotics derived for the helium atom [Lesiuk, Jeziorski, and Moszynski, J. Chem. Phys. 139, 134102 (2013)]. Almost all steps of the presented procedure are formulated recursively, so that an efficient implementation and control of the precision are possible. Additionally, the present formulation is very flexible and general, and it allows for use of an arbitrary correlation factor in the electronic structure calculations with minor or no changes.

  6. Calculation of the molecular integrals with the range-separated correlation factor

    CERN Document Server

    Silkowski, Michał; Moszynski, Robert

    2014-01-01

    Explicitly correlated quantum chemical calculations require calculations of five types of molecular integrals beyond the standard electron repulsion integrals. We present a novel scheme, which utilises general ideas of the McMurchie-Davidson technique, to compute these integrals when the so-called \\range-separated" correlation factor is used. This correlation factor combines the well-known short range behaviour, resulting from the electronic cusp condition, with the exact long-range asymptotics found for the helium atom [M. Lesiuk, B. Jeziorski, and R. Moszynski, J. Chem. Phys. $\\textbf{139}$, 134102 (2013)]. Almost all steps of the presented procedure are formulated recursively, so that an efficient implementation and control of the precision are possible. Additionally, the present formulation is very flexible and general, and it allows for use of an arbitrary correlation factor in the electronic structure calculations with minor or no changes.

  7. White matter deficits in psychopathic offenders and correlation with factor structure.

    Directory of Open Access Journals (Sweden)

    Sylco S Hoppenbrouwers

    Full Text Available Psychopathic offenders show a persistent pattern of emotional unresponsivity to the often horrendous crimes they perpetrate. Recent studies have related psychopathy to alterations in white matter. Therefore, diffusion tensor imaging followed by tract-based spatial statistics (TBSS analysis in 11 psychopathic offenders matched to 11 healthy controls was completed. Fractional anisotropy was calculated within each voxel and comparisons were made between groups using a permutation test. Any clusters of white matter voxels different between groups were submitted to probabilistic tractography. Significant differences in fractional anisotropy were found between psychopathic offenders and healthy controls in three main white matter clusters. These three clusters represented two major networks: an amygdalo-prefrontal network, and a striato-thalamo-frontal network. The interpersonal/affective component of the PCL-R correlated with white matter deficits in the orbitofrontal cortex and frontal pole whereas the antisocial component correlated with deficits in the striato-thalamo-frontal network. In addition to replicating earlier work concerning disruption of an amygdala-prefrontal network, we show for the first time that white matter integrity in a striato-thalamo-frontal network is disrupted in psychopathic offenders. The novelty of our findings lies in the two dissociable white matter networks that map directly onto the two major factors of psychopathy.

  8. Spectral density of the correlation matrix of factor models: a random matrix theory approach.

    Science.gov (United States)

    Lillo, F; Mantegna, R N

    2005-07-01

    We studied the eigenvalue spectral density of the correlation matrix of factor models of multivariate time series. By making use of the random matrix theory, we analytically quantified the effect of statistical uncertainty on the spectral density due to the finiteness of the sample. We considered a broad range of models, ranging from one-factor models to hierarchical multifactor models.

  9. Correlation between Spectral Index and Doppler Factor for a Sample of Fermi Blazars

    Indian Academy of Sciences (India)

    J. Tao; J. H. Fan; H. J. Pan; D. X. Wu; S. H. Li

    2014-09-01

    Relativistic beaming effect is important for blazars. In a very recent work, -ray Doppler factors were calculated for a sample of Fermi blazars (Fan et al. 2013). In this work, we investigated the correlation between the Doppler factor and the effective spectral index, 4OX, and found an anticorrelation between them.

  10. A Rank Correlation Analysis of Factors that affect the Interpersonal Relationship in Student Dormitories of College%高职学生寝室人际关系现状及秩相关分析

    Institute of Scientific and Technical Information of China (English)

    谢振旺; 王坚

    2011-01-01

    本文采用Speannan秩相关法进行分析,研究调查了高职院校学生的寝室人际关系状况。%The present study attempts to figure out the factors that influence Interpersonal Relationship in Student Dormitories (IRSD) of College.

  11. Strength Reliability Analysis of Stiffened Cylindrical Shells Considering Failure Correlation

    Institute of Scientific and Technical Information of China (English)

    Xu Bai; Liping Sun; Wei Qin; Yongkun Lv

    2014-01-01

    The stiffened cylindrical shell is commonly used for the pressure hull of submersibles and the legs of offshore platforms. There are various failure modes because of uncertainty with the structural size and material properties, uncertainty of the calculation model and machining errors. Correlations among failure modes must be considered with the structural reliability of stiffened cylindrical shells. However, the traditional method cannot consider the correlations effectively. The aim of this study is to present a method of reliability analysis for stiffened cylindrical shells which considers the correlations among failure modes. Firstly, the joint failure probability calculation formula of two related failure modes is derived through use of the 2D joint probability density function. Secondly, the full probability formula of the tandem structural system is given with consideration to the correlations among failure modes. At last, the accuracy of the system reliability calculation is verified through use of the Monte Carlo simulation. Result of the analysis shows the failure probability of stiffened cylindrical shells can be gained through adding the failure probability of each mode.

  12. Analysis on Homocysteine's Risk to Atherosclerosis and Its Correlations with Serum Lipids

    Institute of Scientific and Technical Information of China (English)

    李河; 郭兰; 肖敏; 陈铁峰; 吴书林; 余细勇; 石美铃; 董太明; 刘小清; 黄平; 李义和

    2004-01-01

    Objectives To explore the homocysteine's risk to atherosclerosis and its correlations with serum lipids TG,TG and HDL-C. Methods With a cross sectional study, 490 subjects (aged 41-86 yrs, male 420 and female 70) were surveyed in 1999 in Guangdong Province, China. The main research variables were homocysteine (Hcy) and the serum lipids total cholesterol (TC), triglyceride (TG),high-density lipoprotein cholesterol(HDL-C). Results Hcy was a possible risk factor resulting in atherosclerosis (OR=l.15, 0.05 <P <0.10, n=108) with Logistic regression analysis. There is no correlation or much lower degree correlation between Hey and the serum lipids group of TC, TG, HDL-C. The canonical correlation coefficient between V1 and W1 was R1,Can =0.12(0.05<P<0.10, n=490, V1=Hcy, W1= - 0.9446 * TC + 0.1588 * TG + 0.6009 * HDL-C). Conclusions It is possible that Hcy is a risk factor to atherosclerosis and is independent of serum lipids group or has much lower correlation with it. It is necessary to do more research to explore the risk degree of Hcy inducing atherosclerosis and whether are there are bigger correlations or higher independence between Hcy and other risk factors during the progress of atherosclerosis.

  13. Fibroblast growth factor receptor 4 promotes progression and correlates to poor prognosis in cholangiocarcinoma

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Yun-Fei [Department of Hepatobiliary Surgery, Qilu Hospital of Shandong University (China); Yang, Xiao-Qing [Department of Pathology, Shandong University (China); Lu, Xiao-Fei [Department of Gastrointestinal Surgery, Jinan Central Hospital (China); Guo, Sen; Liu, Yi; Iqbal, Mohammad; Ning, Shang-Lei; Yang, Hui [Department of Hepatobiliary Surgery, Qilu Hospital of Shandong University (China); Suo, Ning [Department of Anatomy, Shandong University (China); Chen, Yu-Xin, E-mail: yxu8@bidmc.harvard.edu [Department of Hepatobiliary Surgery, Qilu Hospital of Shandong University (China)

    2014-03-28

    Highlights: • FGFR4 is significantly related with N stage in IHCC, with T stage and TNM stage in PHCC. • FGFR4 is an independent prognostic factor in IHCC and PHCC. • FGFR4 promotes proliferation, invasion and EMT in cholangiocarinoma cell lines. • Inhibitor AP24354 can decrease proliferation, invasion and induce apoptosis of CCA. - Abstract: Fibroblast growth factor receptor 4 (FGFR4) is related to poor prognosis of several cancers, but the correlation between FGFR4 expression and cholangiocarcinoma (CCA) has not been well elucidated. We investigated the expression of FGFR4 in 83 intrahepatic cholangiocarcinomas (IHCCs), 75 perihilar cholangiocarcinomas (PHCCs) and 41 distal cholangiocarcinomas (DCCs) by immunohistochemistry (IHC), and subsequently evaluated association of FGFR4 with clinicopathologic parameters and survival rate. The rate of FGFR4 higher expression was 61.4% (51/83) in IHCCs, 53.3% (40/75) in PHCCs and 56.1% (23/41) in DCCs. FGFR4 expression was significantly related to poor prognosis of IHCC (P = 0.002) and PHCC (P = 0.019) with univariate analysis, and also identified as an independent prognostic factor in IHCC (P = 0.045) and PHCC (P = 0.049) with multivariate analysis. Additionally, with functional assays in vitro, we found FGFR4 can induce proliferation, invasion and epithelial–mesenchymal transition (EMT) of CCA cell lines with FGF19 stimulation. Moreover, FGFR4 inhibitor AP24354 can suppress proliferation, invasion and induce apoptosis of CCA cells. In conclusion, FGFR4 expression can be identified as a significant independent prognostic biomarker of IHCC and PHCC. FGFR4 played a pivotal role in proliferation, invasion and EMT of CCA. FGFR4 inhibitor can suppress proliferation, invasion and induce apoptosis of CCA, indicating that FGFR4 may act as a potential therapeutic target.

  14. Message Correlation Analysis Tool for NOvA

    CERN Document Server

    CERN. Geneva

    2012-01-01

    A complex running system, such as the NOvA online data acquisition, consists of a large number of distributed but closely interacting components. This paper describes a generic realtime correlation analysis and event identification engine, named Message Analyzer. Its purpose is to capture run time abnormalities and recognize system failures based on log messages from participating components. The initial design of analysis engine is driven by the DAQ of the NOvA experiment. The Message Analyzer performs filtering and pattern recognition on the log messages and reacts to system failures identified by associated triggering rules. The tool helps the system maintain a healthy running state and to minimize data corruption. This paper also describes a domain specific language that allows the recognition patterns and correlation rules to be specified in a clear and flexible way. In addition, the engine provides a plugin mechanism for users to implement specialized patterns or rules in generic languages such as C++.

  15. The dependence of the nuclear charge form factor on short range correlations and surface fluctuation effects

    CERN Document Server

    Massen, S E; Grypeos, M E

    1995-01-01

    We investigate the effects of fluctuations of the nuclear surface on the harmonic oscillator elastic charge form factor of light nuclei, while simultaneously approximating the short-range correlations through a Jastrow correlation ~factor. Inclusion of surface-fluctuation effects within this description, by truncating the cluster expansion at the two-body part, is found to improve somewhat the fit to the elastic charge form-factor of ^{16}O and ^{40}Ca. However, the convergence of the cluster expansion is expected to deteriorate. An additional finding is that the surface-fluctuation correlations produce a drastic change in the asymptotic behavior of the point-proton form factor, which now falls off quite slowly (i.e. as const. \\cdot q^{-4}) at large values of the momentum transfer q.

  16. Performance Analysis of Beamforming in Fixed-gain AF Relay Networks with Asymmetric Correlated Fading Channels

    Science.gov (United States)

    Li, Min

    2014-07-01

    In this paper, the performance of beamforming (BF) for a dual-hop amplify-and-forward (AF) relay network, where the source and destination are each equipped with multiple antennas, is investigated. It is assumed that the source-relay and relay-destination channels experience mixed fading distributions, namely, correlated Nakagami-m/Rician and correlated Rician/Nakagami-m, respectively. By considering fixed-gain relaying, analytical expressions for outage probability (OP) and average symbol error rate (ASER) are derived in closed-form. Numerical results are presented to demonstrate the efficacy of our performance analysis, also illustrate the impact of channel correlation, fading severity, Rician factor and antenna configuration on the performance of the system. It is shown that the correlated Nakagami-m/Rician fading channel can achieve better performance than the correlated Rician/Nakagami-m fading channel with the increase of fading severity parameter, and the correlated Rician/Nakagami-m fading channel may outperform the correlated Nakagami-m/Rician fading channel by enlarging the Rician factor.

  17. Grey Correlation Between Agricultural Input Factors and Regional GDP Growth in Anhui Province

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    In order to analyze the relation between agricultural input factors and economic growth in Anhui Province,the evaluation index system of agricultural input is built from the perspectives of subject,object and tools based on grey system theory. The government investment in agricultural science and technology is selected as the index of labor subject,that is labor-related index(X1) ,the total sown area of crops is selected as the index of labor object(X2) ,the investment in rural water and electricity construction is chosen as the index of tools(X3) ,and the GDP of Anhui Province is denoted by X0. According to the relevant data,the improved model of grey correlation analysis is adopted to calculate the correlation among the investment in agricultural water and electricity construction,total sown area of crops,government investment in agricultural science and technology,and the GDP in Anhui Province during 2004-2008. Results show that investment in agricultural science and technology contribute the largest to GDP growth,the increase and change of the total sown area and the investment in rural water and electricity construction have a weak correlation with GDP,they are in a less consistent development trend. On this basis,the government of Anhui Province further proposes to increase the investment in agricultural science and technology,enhance the protection of arable lands,keep the total sown area of crops,and properly maintain the rural water and electricity construction.

  18. Biological risk factors for suicidal behaviors: a meta-analysis.

    Science.gov (United States)

    Chang, B P; Franklin, J C; Ribeiro, J D; Fox, K R; Bentley, K H; Kleiman, E M; Nock, M K

    2016-09-13

    Prior studies have proposed a wide range of potential biological risk factors for future suicidal behaviors. Although strong evidence exists for biological correlates of suicidal behaviors, it remains unclear if these correlates are also risk factors for suicidal behaviors. We performed a meta-analysis to integrate the existing literature on biological risk factors for suicidal behaviors and to determine their statistical significance. We conducted a systematic search of PubMed, PsycInfo and Google Scholar for studies that used a biological factor to predict either suicide attempt or death by suicide. Inclusion criteria included studies with at least one longitudinal analysis using a biological factor to predict either of these outcomes in any population through 2015. From an initial screen of 2541 studies we identified 94 cases. Random effects models were used for both meta-analyses and meta-regression. The combined effect of biological factors produced statistically significant but relatively weak prediction of suicide attempts (weighted mean odds ratio (wOR)=1.41; CI: 1.09-1.81) and suicide death (wOR=1.28; CI: 1.13-1.45). After accounting for publication bias, prediction was nonsignificant for both suicide attempts and suicide death. Only two factors remained significant after accounting for publication bias-cytokines (wOR=2.87; CI: 1.40-5.93) and low levels of fish oil nutrients (wOR=1.09; CI: 1.01-1.19). Our meta-analysis revealed that currently known biological factors are weak predictors of future suicidal behaviors. This conclusion should be interpreted within the context of the limitations of the existing literature, including long follow-up intervals and a lack of tests of interactions with other risk factors. Future studies addressing these limitations may more effectively test for potential biological risk factors.

  19. Correlation analysis on influencing factors of severe reflux esophagitis in Xinjiang Autonomous Region%新疆地区重度反流性食管炎影响因素的相关性分析

    Institute of Scientific and Technical Information of China (English)

    高峰; 苟丽

    2013-01-01

    目的:探讨重度反流性食管炎(RE)的影响因素。方法选择行胃镜明确诊断为重度RE住院患者124例作为病例组,采用配对病例对照研究方法,以性别、民族、年龄、检查日期为配比变量,胃镜检查无明确病变(肉眼与病理检查仅轻度慢性浅表性胃炎)者124例作为对照组。对肥胖、吸烟、饮酒、食道裂孔疝、血脂、血糖、脂肪肝是否是发生重度RE的危险因素,进行多变量Logistic回归分析。结果腹型肥胖(P=0.022,OR=3.390,95% CI=1.195~9.618)、食道裂孔疝(P=0.022,OR=5.438,95% CI=1.871~15.802)、吸烟(P=0.016,OR=2.923,95%CI=1.217~7.020)是发生重度RE的独立危险因素,而饮酒、血脂、空腹血糖、脂肪肝与重度RE没有相关性。结论食道裂孔疝、腹型肥胖及吸烟可能是发生重度RE的独立危险因素。%Objective To discuss the influencing factors of severe reflux esophagitis (RE). Methods 124 cases which were treated with gastroscope and diagnosed as severe RE with confirmation were selected as the case group, and 124 cases without confirmed gross lesions after diagnosis (i.e. mild chronic superficial gastritis after visual inspection and pathological examination) were selected as the control group with the factors such as sex, nationality, age and date of inspection as matching variable by case-control study. Their waist-to-hip ratio (WHR), blood sugar and blood fats were inspected respectively,and we also checked whether there was a fatty liver and hiatal hernia and to investigate the state of smoking and drinking behavior. And then to analyse any relevant risk factors causing the severe RE with multiple logistic regression method. Results It showed that abdominal obesity (P=0.022, OR=3.390, 95% CI=1.195-9.618), hiatal hernia (P=0.022, OR=5.438, 95% CI=1.871-15.802) and smoking were the independent risk factors for causing severe RE. However, drinking, blood

  20. Evaluation on trust degree of nurse - patient relationship and correlation analysis of influencing factors%护患关系信任度的评价方式与影响新因素相关度分析

    Institute of Scientific and Technical Information of China (English)

    洪婉媚; 彭秋燕; 黄哲梅

    2012-01-01

    目的 对护患关系信任度评价的方式进行总结,并对相关的影响因素进行分析.方法 抽取我院各科室的护士共80名,对其在过去一段时间所负责照顾的患者进行问卷调查,从而对护患关系进行了解.结果 专业知识欠缺、沟通技巧不佳、服务意识不强、配备不足、患者的因素是对护患关系造成影响的主要因素.结论 护患之间既相互依存,又相互矛盾.良好的护患关系会给整个医疗过程提供切实的保障.%Objective To summarize the evaluation methods of trust degree of the nurse-patient relationship,and analyze related influencing factors.Methods Eighty nurses were selected in different departments of our hospital,the patients that every nurse was responsible for were investigated with questionnaires,so as to explore the relationship of nurse-patient.Results It was found that these were main factors of influencing the relationship of nurse-patient including the lack of professional knowledge,communication skills,poor service consciousness,lack of equipment,patient factors.Conclusions The relationship of nurse - patient is hpth interdependent and contradictory.A good nurse-patient relationship will give the whole medical process to provide effective guarantee.

  1. Correlation Analysis between NDVI and Climatic Factors of Grassland Ecosystems in the Northern Tibetan Plateau from 1982 to 2003%1982年至2003年藏北高原草地生态系统NDVI与气候因子的相关分析

    Institute of Scientific and Technical Information of China (English)

    赵玉萍; 张宪洲; 王景升; 沈振西

    2009-01-01

    Normalized difference vegetation index (NDVI), which is closely related to plant absorbability of photosynthetically active radiation (PAR), is generally taken to be a good indicator of terrestrial vegetation. We used time series (1982-2003) NDVI from the Global Inventory Modeling and Mapping Studies (GIMMS) in combination with climatic data from eight meteorological stations to examine the relationships between climatic factors and NDVI for grasslands of different types across the Northern Tibetan Plateau. Also, we discussed contributors affecting the correlation between NDVI and climatic factors. A bivariate correlation analysis was performed to examine the linear correlations and lag-linear correlations between monthly maximized NDVI and 6 monthly climatic factors, including mean monthly air temperature, mean minimum air temperature, mean maximum air temperature, relative humidity, mean wind velocity and cumulative precipitation. The partial correlations between temperature/precipitation, temperature/precipitation/wind velocity and NDVI were investigated by a partial correlation analysis in order to remove errors resulting from interactions among these climatic factors. Except the Gerze and Gaer stations, there were significant positive linear correlations between NDVI and temperature, precipitation and air moisture of the current month (P索县>安多>当雄>班戈>申扎;月均风速与藏北高原草地NDVI呈高度负相关(P<0.001;当雄除外,为D<0.05);②NDVI对气温和降水的响应有滞后效应:改则和噶尔NDVI对气温滞后3个月,其它6个站滞后1个月;噶尔NDVI对降水的滞后期为2个月,其它7个站均滞后1个月;申扎和改则(噶尔)NDVI对空气湿度分别滞后1和2个月,其它5个站无滞后;那曲、安多、班戈和申扎NDVI对降水的累积滞后期为1个月,当雄和索县为2个月,改则和噶尔为4个月,NDVI对降水响应的累积滞后相关系数从东到西呈降低趋势;③除改则和噶尔之外的6

  2. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, P.K.

    1982-01-01

    With the use of atomic and nuclear methods to analyze samples for a multitude of elements, very large data sets have been generated. Due to the ease of obtaining these results with computerized systems, the elemental data acquired are not always as thoroughly checked as they should be leading to some, if not many, bad data points. It is advantageous to have some feeling for the trouble spots in a data set before it is used for further studies. A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  3. 社区老年男性人群代谢综合征与高尿酸血症相关性分析%Analysis on correlation factors of metabolic syndrome with hyperuricemia in community elderly males

    Institute of Scientific and Technical Information of China (English)

    王礼文; 陈健; 冯学山

    2013-01-01

    目的 探讨社区老年男性代谢综合征(MS)与高尿酸血症(HUA)之间的相关性.方法 随机抽取已规范建立健康档案的老年男性代谢综合征患者160例,对研究对象进行年度体检,按尿酸水平分为高尿酸血症组与正常尿酸组.比较两组人群的体重指数、腰围、血压、血糖、血脂水平及合并相关疾病的情况.结果 高尿酸血症组的体重指数(BMI)、腰围、舒张压(DBP)、餐后2小时血糖(2 hPG)、甘油三酯(TG)高于正常尿酸组(P<0.05),且高尿酸血症组合并冠心病的患病率高于正常尿酸组(P<0.05).结论 高尿酸血症与老年男性代谢综合征相关,老年男性MS患者合并高尿酸血症患心血管病的风险增加,应积极进行社区干预.%Objective To investigate the correlation between metabolic syndrome (MS) and hyperuricemia in community elderly males.Methods 160 elderly males with MS were divided into 2 groups according to their serum uric acid levels.The body mass index (BMI),waist line,systolic and diastolic pressure (SBP,DBP),blood glucose (FPG,2hPG),lipid levels and comorbilities were compared.Results BMI,waist line,DBP,2hPG and serum triglyceride(TG) were higher in cases with hyperuricemia than those with normal serum uric acid (P<0.05).The hyperuricemia group had higher proportion with coronary heart disease than the normal-uricemia group (OR=2.0600,P<0.05).Conclusion Hyperuricemia is correlated to metabolic syndrome in elderly males.Metabolic syndrome in elderly males with hyperuricemia increases risk of cardiovascular disease.Community intervention should be put on these cases.

  4. Analysis of gene expression EGFR and KRAS, microRNA-21 and microRNA-203 in patients with colon and rectal cancer and correlation with clinical outcome and prognostic factors.

    Science.gov (United States)

    Carvalho, Thais Inácio de; Novais, Paulo Cezar; Lizarte, Fermino Sanches; Sicchieri, Renata Danielle; Rosa, Marcella Suelma Torrecillas; Carvalho, Camila Albuquerque Mello de; Tirapelli, Daniela Pretti da Cunha; Peria, Fernanda Maris; Rocha, José Joaquim Ribeiro da; Féres, Omar

    2017-03-01

    To evaluate the expression of EGFR, KRAS genes, microRNAs-21 and 203 in colon and rectal cancer samples, correlated with their age at diagnosis, histological subtype, value of pretreatment CEA, TNM staging and clinical outcome. Expression of genes and microRNAs by real time PCR in tumor and non-tumor samples obtained from surgical treatment of 50 patients. An increased expression of microRNAs-21 and 203 in tumor samples in relation to non-tumor samples was found. There was no statistically significant difference between the expression of these genes and microRNAs when compared to age at diagnosis and histological subtype. The EGFR gene showed higher expression in relation to the value of CEA diagnosis. The expression of microRNA-203 was progressively lower in relation to the TNM staging and was higher in the patient group in clinical remission. The therapy of colon and rectum tumors based on microRNAs remains under investigation reserving huge potential for future applications and clinical interventions in conjunction with existing therapies. We expect, based on the exposed data, to stimulate the development of new therapeutic possibilities, making the treatment of these tumors more effective.

  5. Process correlation analysis model for process improvement identification.

    Science.gov (United States)

    Choi, Su-jin; Kim, Dae-Kyoo; Park, Sooyong

    2014-01-01

    Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

  6. The Analysis of the Influence Factors on Housing Prices in Anhui Province Which is Based on the Grey Correlative Degree%基于灰色关联度的安徽省房价影响因素的分析

    Institute of Scientific and Technical Information of China (English)

    徐腾

    2012-01-01

    以安徽省2001—2010年房地产相关资料为依据,适当选取房价影响因素指标,引入灰色关联分析方法,构建房价影响因素的灰色关联度模型,定量地计算出各指标与房价的灰色关联度。结果表明:人口总数、居民消费价格指数、税收三大因素对房价影响最大,而住宅施工面积、住宅销售额、住宅投资完成额影响较小。%In this paper, we select real estate market in AnHui province from 2001 to 2010 as a basis, analyses housing price influential factors, selects appropriately indexes influencing housing price. It introduces grey relational analysis method and formulates grey correlation model based on the data of real estate market in Anhui Province, quantitatively calculates correlation degrees of every factor. The results show that total popula- tion, the consumer price index and tax make a big influence to housing prices, while housing construction area, housing sales and housing invest- ment completed frontal influence a little.

  7. Exploratory factor analysis of the Oral Health Impact Profile.

    Science.gov (United States)

    John, M T; Reissmann, D R; Feuerstahler, L; Waller, N; Baba, K; Larsson, P; Celebić, A; Szabo, G; Rener-Sitar, K

    2014-09-01

    Although oral health-related quality of life (OHRQoL) as measured by the Oral Health Impact Profile (OHIP) is thought to be multidimensional, the nature of these dimensions is not known. The aim of this report was to explore the dimensionality of the OHIP using the Dimensions of OHRQoL (DOQ) Project, an international study of general population subjects and prosthodontic patients. Using the project's Learning Sample (n = 5173), we conducted an exploratory factor analysis on the 46 OHIP items not specifically referring to dentures for 5146 subjects with sufficiently complete data. The first eigenvalue (27·0) of the polychoric correlation matrix was more than ten times larger than the second eigenvalue (2·6), suggesting the presence of a dominant, higher-order general factor. Follow-up analyses with Horn's parallel analysis revealed a viable second-order, four-factor solution. An oblique rotation of this solution revealed four highly correlated factors that we named Oral Function, Oro-facial Pain, Oro-facial Appearance and Psychosocial Impact. These four dimensions and the strong general factor are two viable hypotheses for the factor structure of the OHIP.

  8. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

    feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply a kernel version of maximum autocorrelation factor (MAF) [7, 8] analysis to irregularly sampled stream sediment geochemistry data from South Greenland and illustrate the dependence...

  9. Multistructure Statistical Model Applied To Factor Analysis

    Science.gov (United States)

    Bentler, Peter M.

    1976-01-01

    A general statistical model for the multivariate analysis of mean and covariance structures is described. Matrix calculus is used to develop the statistical aspects of one new special case in detail. This special case separates the confounding of principal components and factor analysis. (DEP)

  10. An Investigation of Dental Caries and the Correlative Factors Analysis in 12 Year-old Children in Kunming%昆明市区12岁儿童龋病调查及影响因素分析

    Institute of Scientific and Technical Information of China (English)

    欧阳欣; 朱瑾; 冯娟; 田为毅; 杜琳玲

    2012-01-01

    Objective To investigate the current condition of dental caries in 12 year-old children in Kunming and analyze the correlation between oral health behavior and caries, and to provide scientific basis for prevention of caries and oral health education. Methods The oral examination and questionnaire were designed for 12 years-old primary school students of Kunming to analyze prevalence rate of caries and DMFT. The survey data were analyzed by Sperman correlation. Results The prevalence of caries of 600 students was 40% , and DMFT was 0.815. There was significant relationship between caries and good brushing habits, regular inspection and the use of fluoride (P0.05). Eating fresh fruit was beneficial to reduce the incidence of disease, the differences was statically significant (P < 0.05 ). Conclusions The prevalence of caries and DMFT in 12 year-old age group are relatively high. We should strengthen the parents, children's oral health education, adopting a good oral health behavior habits, and setup the good control concept.%目的 了解昆明市区12岁儿童患龋状况,分析龋病与口腔健康行为的相关性,为龋病的预防及针对性的口腔健康教育提供科学依据.方法 对昆明市区12岁年龄组儿童600人进行口腔检查及问卷调查,分析儿童牙齿的患龋率和龋均,将调查数据进行Sperman相关分析,结果 600名受检者中患龋率为40%,龋均0.815.良好的刷牙习惯、定期检查、氟化物的使用有利于减低龋病的发生,差异有统计学意义(P<0.05),牙线使用与龋病无明显相关性,差异无统计学意义(P>0.05).糖果、巧克力、碳酸饮料、加糖果汁等含糖食物与儿童患龋有相关性,3餐间加餐(含糖)危险度明显高于不加餐者,差异有统计学意义(P<0.05).喝牛奶与龋病无明显相关性,差异无统计学意义(P>0.05).多吃新鲜水果有利于降低龋病的发生,差异有统计学意义(P<0.05).结论 12岁年龄组患

  11. Correlation between (18)F-FDG uptake on PET/CT and prognostic factors in triple-negative breast cancer.

    Science.gov (United States)

    Koo, Hye Ryoung; Park, Jeong Seon; Kang, Keon Wook; Han, Wonshik; Park, In Ae; Moon, Woo Kyung

    2015-11-01

    The purpose of this study was to investigate whether a correlation exists between (18)F-fluorodeoxyglucose (FDG) uptake and prognostic factors in triple-negative breast cancer (TNBC). Between January 2009 and December 2013, 103 patients (mean age, 50.6 years) with primary TNBC (mean, 2.6 cm; range, 1.0-6.5 cm) underwent (18)F-FDG PET/CT for initial staging. Correlations between maximum standardized uptake value (SUVmax) on PET/CT and prognostic factors including tumour size, nodal status, histological grade, Ki-67 proliferation index, tumour suppressor p53, and 'basal-like' markers (epidermal growth factor receptor and CK 5/6) were assessed. The mean SUVmax of the 103 tumours was 10.94 ± 5.25 (range: 2-32.8). There was a positive correlation between SUVmax and Ki-67 (Spearman's rho = 0.29, P = 0.003) and tumour size (Spearman's rho = 0.27, P = 0.006), whereas this relationship was not observed in the nodal status, histological grade, p53 status and 'basal-like' phenotypes. In a multivariate regression analysis, Ki-67 (P correlated with a high Ki-67 proliferation index and larger tumour size in TNBC. These results suggest a potential role of (18)F-FDG PET/CT in identifying TNBC with more aggressive behaviour. • A wide range of FDG uptake reflected heterogeneity of cancer metabolism. • FDG uptake was correlated with the Ki-67 proliferation index in TNBC. • FDG uptake was correlated with tumour size in TNBC. • FDG uptake was not correlated with 'basal-like' phenotype.

  12. 影响不育男性手淫法取精液行常规检查的相关因素分析%Analysis of correlative factors of sterility in males undergoing routine sperm inspection by masturbation

    Institute of Scientific and Technical Information of China (English)

    周俐媛; 施晓波; 王新; 刘丹

    2012-01-01

    目的:探讨影响不育男性手淫法取精液行常规检查的相关因素.方法:220例采用手淫法取精液行常规检查的不育男性在完成取精后填写一般情况调查表、不孕症疾病问卷、SCL-90症状自评量表、Olson婚姻质量问卷性生活分量表.结果:220例受检者SCL-90总分、焦虑、恐惧、躯体化、强迫、人际关系、敌对、抑郁因子分高于常模(P<0.05);其中SCL-90总分≥160分的69例,负性情绪阳性发生率为31.36%;SCL-90总分与取精液时妻子的态度、取精环境、射精情况及平时性生活状态有关;多元线性回归分析,射精情况进入回归方程.结论:不育男性手淫法取精液行常规检查者约1/3存在负性情绪,主要表现为焦虑、恐惧、躯体化、人际关系敏感、敌对以及抑郁;发生射精障碍可能是导致此阶段负性情绪的主要影响因素.%Objective: To investigate the factors influencing sterility in males undergoing routine sperm inspection by masturbation.Methods: Scales for demographic data, self-compiled infertility questionnaire, Symptom Checklist-90 (SCL-90), and sexual life subscale of Olson Marital Quality Questionnaire (ENRICH) were assessed in 220 cases of sterility in males who had undergone sperm examination after ejaculation.Results: The total SCL-90 scores and the factor scores of anxiety, phobia, somatization, obsessive-compulsive behavior, interpersonal-sensitivity, hostility, and depression were significantly higher than the norm (P<0.05). The total SCL-90 score of 69 males was higher than 160, implying that 31.36% of the sterile males had negative emotions. The total score was related to wife's attitude, semen collecting room, ejaculation situation, and the general state of sexual life. The ejaculation situation was subjected to a multivariate linear regression model.Conclusion: About 1/3 of males with sterility problems undergoing routine semen examination by masturbation have negative

  13. Analysis on Investigation and Correlation Factors in Patients with Dental Fear in Karashar County in Xinjiang%新疆焉耆县牙科恐惧症患者调查及其相关因素分析

    Institute of Scientific and Technical Information of China (English)

    杨芳; 韩祥祯; 魏薇

    2015-01-01

    目的 调查新疆巴州第二师焉耆医院口腔科成人患者的牙科恐惧症发生情况,并进行比较研究,为其防治提供相关依据.方法 主要采用Corah's牙科焦虑量表,抽样调查236名口腔患者恐惧、焦虑情况,并对其进行相关因素分析.结果AS平均分值为10.12±3.10,DF患病率为18.2%.女性DF患病率明显高于男性;17-35岁人群的患病率最高,大于60岁人群患病率最低;汉族人群的患病率明显高于少数民族,且差异存在统计学意义.而DF的主要影响因素为疼痛,担心治疗意外、疗效不好以及对牙科器械及诊疗过程不了解所造成的恐惧.结论 牙科焦虑症的形成与多种因素有关,临床口腔医生治疗时应注意观察和沟通,了解患者的需求,从不同方面着手预防和缓解牙科恐惧症,从而提高口腔医疗质量.%Objective TTo investigate the second division Yanqi Bazhou hospital dentistry adult patients the incidence of dental fear, and comparative studies provide evidence for its prevention. Methods The main use Corah's Dental Anxiety Scale, sampling 236 patients with oral fear, anxiety situation, and its related factors. Results DAS average score was 10.12 ± 3.10, DF prevalence rate of 18.2%. DF female prevalence was significantly higher than the male;the highest prevalence of 17-35-year-olds, 60-year-old population prevalence is greater than the minimum; Han population prevalence was significantly higher than minorities, and the difference was statistically significant. The main factors for DF is pain, treat accident, poor efficacy and treatment of dental instruments and do not understand the fear caused by the process. Conclusion The formation of dental anxiety related to many factors, clinical dentist treatment should observe and communicate and understand the needs of patients, begin prevention and mitigation from different aspects of dental phobia, to improving the quality of oral health care.

  14. The Grammatical Correlates of Social Class Factors: The Case of Iranian Fifth - Graders

    Directory of Open Access Journals (Sweden)

    Mohammad Aliakbari

    2012-01-01

    Full Text Available Ever since Bernstein theorized the relationship between social class and language pattern, this issue has resulted in a growing body of research. However, few studies have been conducted in the context of Iranian society. In response to this shortcoming, a survey was designed to investigate the relationship between the linguistic and the social class patterns in the compositions of 350 male fifth-grade elementary school students. Accordingly, a Language Pattern Elicitation Prompt and a Social Class Questionnaire were designed to collect relevant data. Using the most common social class indices, through a set of pilot studies and factorial analysis, six social class factors of Life Style, Property, Parental Education, Paternal Occupation/Income, Accommodation, and Vehicle/Transportation were addressed. The administration of the Language Pattern Elicitation Prompt and the Social Class Questionnaire to students and their parents yielded a rich corpus of language and social class data. The language data was analyzed for frequencies of the grammatical categories, Total Number of Words, T-units, Adjectives, Adverbs, Personal Pronouns, Impersonal pronouns, First Person Singular Pronouns, Prepositions, Conjunctions, and Mean T-unit Length. The social class data were analyzed for total social class scores and scores for each social class factor. The results of the correlation analyses suggested a significant relationship between the total social class scores and a number of the grammatical categories. The relationships between the language data and the social class factors represented similar trend as well. The findings of the present study support Bernstein's theory to a great extent

  15. NIRS-BASED CORTICAL ACTIVATION ANALYSIS BY TEMPORAL CROSS CORRELATION

    Directory of Open Access Journals (Sweden)

    Raul Fernandez-Rojas

    2016-02-01

    Full Text Available In this study we present a method of signal processing to determine dominant channels in near infrared spectroscopy (NIRS. To compare measuring channels and identify delays between them, cross correlation is computed. Furthermore, to find out possible dominant channels, a visual inspection was performed. The outcomes demonstrated that the visual inspection exhibited evoked-related activations in the primary somatosensory cortex (S1 after stimulation which is consistent with comparable studies and the cross correlation study discovered dominant channels on both cerebral hemispheres. The analysis also showed a relationship between dominant channels and adjacent channels. For that reason, our results present a new method to identify dominant regions in the cerebral cortex using near-infrared spectroscopy. These findings have also implications in the decrease of channels by eliminating irrelevant channels for the experiment.

  16. Dimensions of Emotional Intelligence and Transformational Leadership: A Correlation Analysis

    Directory of Open Access Journals (Sweden)

    John N. N. Ugoani

    2015-06-01

    Full Text Available The study was designed to explore the degree of relationship between emotional intelligence and transformational leadership style. Goleman who popularized the concept of the science of emotional intelligence and brought it to its academic zenith drew on a wealth of research to argue that successful leaders need emotional intelligence, or the attributes of self-awareness, impulse control, persistence, confidence, self-motivation empathy, social deftness, trust worthiness, adaptability, and a talent of collaboration. Data were generated through 5 – point Likert-type questionnaire based on Schutte, Self Report questionnaire. Pearson’s correlation analysis was carried out through the Statistical Package for Social Sciences, and a strong positive correlation of r = .90, was found between emotional intelligence and transformational leadership style.

  17. Analysis and correlation of SA349/2 helicopter vibration

    Science.gov (United States)

    Heffernan, Ruth; Precetti, Dominique; Johnson, Wayne

    1991-01-01

    Helicopter airframe vibration is examined using calculation and measurements for the SA349/2 research helicopter. The hub loads, which transmit excitation to the fuselage, are predicted using a comprehensive rotorcraft analysis and correlated with measured hub loads. The predicted and measured hub loads are then coupled with finite element models representing the SA349/2 fuselage. The resulting vertical acceleration at the pilot seat is examined. Adjustments are made to the airframe structural models to examine the sensitivity of predicted vertical acceleration to the model. Changes of a few percent to the damping and frequency of specific modes lead to large reductions in predicted vibration and to major improvements in the correlations with measured pilot seat vertical acceleration.

  18. Analysis of input variables of an artificial neural network using bivariate correlation and canonical correlation

    Energy Technology Data Exchange (ETDEWEB)

    Costa, Valter Magalhaes; Pereira, Iraci Martinez, E-mail: valter.costa@usp.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2011-07-01

    The monitoring of variables and diagnosis of sensor fault in nuclear power plants or processes industries is very important because a previous diagnosis allows the correction of the fault and, like this, to prevent the production stopped, improving operator's security and it's not provoking economics losses. The objective of this work is to build a set, using bivariate correlation and canonical correlation, which will be the set of input variables of an artificial neural network to monitor the greater number of variables. This methodology was applied to the IEA-R1 Research Reactor at IPEN. Initially, for the input set of neural network we selected the variables: nuclear power, primary circuit flow rate, control/safety rod position and difference in pressure in the core of the reactor, because almost whole of monitoring variables have relation with the variables early described or its effect can be result of the interaction of two or more. The nuclear power is related to the increasing and decreasing of temperatures as well as the amount radiation due fission of the uranium; the rods are controls of power and influence in the amount of radiation and increasing and decreasing of temperatures; the primary circuit flow rate has the function of energy transport by removing the nucleus heat. An artificial neural network was trained and the results were satisfactory since the IEA-R1 Data Acquisition System reactor monitors 64 variables and, with a set of 9 input variables resulting from the correlation analysis, it was possible to monitor 51 variables. (author)

  19. A Comparative Study of Kernel and Robust Canonical Correlation Analysis

    Directory of Open Access Journals (Sweden)

    Ashad M. Alam

    2010-02-01

    Full Text Available A number of measures of canonical correlation coefficient are now used in multimedia related fields like object recognition, image segmentation facial expression recognition and pattern recognition in the different literature. Some robust forms of classical canonical correlation coefficient are introduced recently to address the robustness issue of the canonical coefficient in the presence of outliers and departure from normality. Also a few number of kernels are used in canonical analysis to capture nonlinear relationship in data space, which is linear in some higher dimensional feature space. But not much work has been done to investigate their relative performances through i simulation from the view point of sensitivity, breakdown analysis as well as ii using real data sets. In this paper an attempt has been made to compare performances of kernel canonical correlation coefficients (Gaussian function, Laplacian function and Polynomial function with that of robust and classical canonical correlation coefficient measures using simulation with five sample sizes (50, 500, 1000, 1500 and 2000, influence function, breakdown point along with several real data and a multi-modal data sets, focusing on the specific case of segmented images with associated text. We investigate the bias, mean square error(MISE, qualitative robustness index (RI, sensitivity curve of each estimator under a variety of situations and also employ box plots and scatter plots of canonical variates to judge their performances. We have observed that the class of kernel estimators perform better than the class of classical and robust estimators in general and the kernel estimator with Laplacian function has shown the best performance for large sample size and break down is high in case of nonlinear data.

  20. Is there a genetic correlation between general factors of intelligence and personality?

    Science.gov (United States)

    Loehlin, John C; Bartels, Meike; Boomsma, Dorret I; Bratko, Denis; Martin, Nicholas G; Nichols, Robert C; Wright, Margaret J

    2015-06-01

    We tested a hypothesis that there is no genetic correlation between general factors of intelligence and personality, despite both having been selected for in human evolution. This was done using twin samples from Australia, the United States, the Netherlands, Great Britain, and Croatia, comprising altogether 1,748 monozygotic and 1,329 same-sex dizygotic twin pairs. Although parameters in the model-fitting differed among the twin samples, the genetic correlation between the two general factors could be set to zero, with a better fit if the U.S. sample was excepted.

  1. Application of the Gini correlation coefficient to infer regulatory relationships in transcriptome analysis.

    Science.gov (United States)

    Ma, Chuang; Wang, Xiangfeng

    2012-09-01

    One of the computational challenges in plant systems biology is to accurately infer transcriptional regulation relationships based on correlation analyses of gene expression patterns. Despite several correlation methods that are applied in biology to analyze microarray data, concerns regarding the compatibility of these methods with the gene expression data profiled by high-throughput RNA transcriptome sequencing (RNA-Seq) technology have been raised. These concerns are mainly due to the fact that the distribution of read counts in RNA-Seq experiments is different from that of fluorescence intensities in microarray experiments. Therefore, a comprehensive evaluation of the existing correlation methods and, if necessary, introduction of novel methods into biology is appropriate. In this study, we compared four existing correlation methods used in microarray analysis and one novel method called the Gini correlation coefficient on previously published microarray-based and sequencing-based gene expression data in Arabidopsis (Arabidopsis thaliana) and maize (Zea mays). The comparisons were performed on more than 11,000 regulatory relationships in Arabidopsis, including 8,929 pairs of transcription factors and target genes. Our analyses pinpointed the strengths and weaknesses of each method and indicated that the Gini correlation can compensate for the shortcomings of the Pearson correlation, the Spearman correlation, the Kendall correlation, and the Tukey's biweight correlation. The Gini correlation method, with the other four evaluated methods in this study, was implemented as an R package named rsgcc that can be utilized as an alternative option for biologists to perform clustering analyses of gene expression patterns or transcriptional network analyses.

  2. Application of the Gini Correlation Coefficient to Infer Regulatory Relationships in Transcriptome Analysis[W][OA

    Science.gov (United States)

    Ma, Chuang; Wang, Xiangfeng

    2012-01-01

    One of the computational challenges in plant systems biology is to accurately infer transcriptional regulation relationships based on correlation analyses of gene expression patterns. Despite several correlation methods that are applied in biology to analyze microarray data, concerns regarding the compatibility of these methods with the gene expression data profiled by high-throughput RNA transcriptome sequencing (RNA-Seq) technology have been raised. These concerns are mainly due to the fact that the distribution of read counts in RNA-Seq experiments is different from that of fluorescence intensities in microarray experiments. Therefore, a comprehensive evaluation of the existing correlation methods and, if necessary, introduction of novel methods into biology is appropriate. In this study, we compared four existing correlation methods used in microarray analysis and one novel method called the Gini correlation coefficient on previously published microarray-based and sequencing-based gene expression data in Arabidopsis (Arabidopsis thaliana) and maize (Zea mays). The comparisons were performed on more than 11,000 regulatory relationships in Arabidopsis, including 8,929 pairs of transcription factors and target genes. Our analyses pinpointed the strengths and weaknesses of each method and indicated that the Gini correlation can compensate for the shortcomings of the Pearson correlation, the Spearman correlation, the Kendall correlation, and the Tukey’s biweight correlation. The Gini correlation method, with the other four evaluated methods in this study, was implemented as an R package named rsgcc that can be utilized as an alternative option for biologists to perform clustering analyses of gene expression patterns or transcriptional network analyses. PMID:22797655

  3. The Cholesky Factorization, Schur Complements, Correlation Coefficients, Angles between Vectors, and the QR Factorization.

    Science.gov (United States)

    1988-02-01

    part of the factorization; that is, without having to form UT U22 . When E is singular or not square in (1.1) Marsaglia and Styan [11] define a...10] Lawson, C.L. and Hanson, R.J., Solting Least Squares Problems, Prentice Hall, 1974. [11] Marsaglia , G. and Styan, G.P.H., Equalities and

  4. Multifractal detrending moving-average cross-correlation analysis.

    Science.gov (United States)

    Jiang, Zhi-Qiang; Zhou, Wei-Xing

    2011-07-01

    There are a number of situations in which several signals are simultaneously recorded in complex systems, which exhibit long-term power-law cross correlations. The multifractal detrended cross-correlation analysis (MFDCCA) approaches can be used to quantify such cross correlations, such as the MFDCCA based on the detrended fluctuation analysis (MFXDFA) method. We develop in this work a class of MFDCCA algorithms based on the detrending moving-average analysis, called MFXDMA. The performances of the proposed MFXDMA algorithms are compared with the MFXDFA method by extensive numerical experiments on pairs of time series generated from bivariate fractional Brownian motions, two-component autoregressive fractionally integrated moving-average processes, and binomial measures, which have theoretical expressions of the multifractal nature. In all cases, the scaling exponents h(xy) extracted from the MFXDMA and MFXDFA algorithms are very close to the theoretical values. For bivariate fractional Brownian motions, the scaling exponent of the cross correlation is independent of the cross-correlation coefficient between two time series, and the MFXDFA and centered MFXDMA algorithms have comparative performances, which outperform the forward and backward MFXDMA algorithms. For two-component autoregressive fractionally integrated moving-average processes, we also find that the MFXDFA and centered MFXDMA algorithms have comparative performances, while the forward and backward MFXDMA algorithms perform slightly worse. For binomial measures, the forward MFXDMA algorithm exhibits the best performance, the centered MFXDMA algorithms performs worst, and the backward MFXDMA algorithm outperforms the MFXDFA algorithm when the moment order q0. We apply these algorithms to the return time series of two stock market indexes and to their volatilities. For the returns, the centered MFXDMA algorithm gives the best estimates of h(xy)(q) since its h(xy)(2) is closest to 0.5, as expected, and

  5. Metabolomic changes during cellular transformation monitored by metabolite-metabolite correlation analysis and correlated with gene expression.

    Science.gov (United States)

    Madhu, Basetti; Narita, Masako; Jauhiainen, Alexandra; Menon, Suraj; Stubbs, Marion; Tavaré, Simon; Narita, Masashi; Griffiths, John R

    To investigate metabolic changes during cellular transformation, we used a (1)H NMR based metabolite-metabolite correlation analysis (MMCA) method, which permits analysis of homeostatic mechanisms in cells at the steady state, in an inducible cell transformation model. Transcriptomic data were used to further explain the results. Transformed cells showed many more metabolite-metabolite correlations than control cells. Some had intuitively plausible explanations: a shift from glycolysis to amino acid oxidation after transformation was accompanied by a strongly positive correlation between glucose and glutamine and a strongly negative one between lactate and glutamate; there were also many correlations between the branched chain amino acids and the aromatic amino acids. Others remain puzzling: after transformation strong positive correlations developed between choline and a group of five amino acids, whereas the same amino acids showed negative correlations with phosphocholine, a membrane phospholipid precursor. MMCA in conjunction with transcriptome analysis has opened a new window into the metabolome.

  6. ANALYSIS OF CORRELATION FACTORS FOR SHOULDER PAIN AFTER LAPAROSCOPIC CHOLECYSTECTOMY%腹腔镜胆囊切除术后肩痛发生的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    李俊; 赵家泉; 严明

    2012-01-01

      目的:探讨与腹腔镜胆囊切除术后患者肩痛发生可能有关的因素.方法:分析2011-01-01~2011-12-31在南京医科大学附属江宁医院普外科行腹腔镜胆囊切除术的患者,选取术后发生肩痛患者为肩痛组,并随机选取相同时期行腹腔镜胆囊切除术且术后未发生肩痛的患者作为对照组.收集两组患者临床资料并对两组患者进行症状自评量表、汉密尔顿抑郁量表、汉密尔顿焦虑量表评分,应用 t 检验和卡方检验比较两组间各项临床资料及量表评分的差异.结果:两组患者性别、年龄、高血压病史、糖尿病病史、心率、收缩压、舒张压、血红蛋白、白细胞计数(WBC)、血小板计数(PLT)、空腹血糖、谷丙转氨酶(ALT)、谷草转氨酶(AST)、谷氨酰转肽酶(GGT)、碱性磷酸酶(ALP)、乳酸脱氢酶(LDH)、总胆红素(TBIL)、直接胆红素(DBIL),症状自评量表中人际关系敏感、敌对、恐怖、偏执、精神病性因子评分无统计学差异;肩痛组患者的手术中气腹持续时间明显高于对照组,肩痛组患者症状自评量表躯体化、强迫症状、抑郁、焦虑因子评分和汉密尔顿抑郁量表、汉密尔顿焦虑量表评分明显高于对照组( P 0.05 ) . However, the duration of pneumoperitoneum , the scores of the Somatization、 Obsessive、Depression、Anxiety factors of SCL -90, the scores of HAMD and the scores of HAMA were significantly higher in the Shoulder Pain group compared with the control group respec -tively ( P <0.05 ).Conclusion: The duration of pneumoperitoneum and psychological factor play important roles in the shoulder pain after Laparoscopic Cholecystectomy .

  7. Analysis of correlation factors of the development from bronchiolitis to bronchial asthma%毛细支气管炎发展为支气管哮喘的相关因素分析

    Institute of Scientific and Technical Information of China (English)

    刘雄诚; 李琴丽

    2016-01-01

    in children without family history of asthma,obesity and history of eczema, with breast feeding>4 months,took BCG vaccination on time,without second-hand smoking,without allergic constitution,mild type of bronchiolitis and application of Ig treatment (1 9.4%,21.9%, 1 7.7%,1 9.8%,22.7%,3.6%,1 6.1%,18.3%,4.2%),and all the differences above were statistically significant(χ2 =7.96,5.37,8.47,5.02,3.84,18.48,10.27,9.65,13.27;P 4 months (OR = 0.472,95% CI :1.926-1 5.687,P <0.05),took BCG vaccination on time (OR=0.772,95% CI :2.889-1 9.604,P <0.05)and application of immunoglobulin (OR = 0.914,95% CI :1.836-10.41 9,P < 0.05 ).The independent risk factors including asthma family history (OR = 1 6.695,95%CI :2.783-28.258,P < 0.05 ),obesity (OR =5.498,95% CI :1.772-13.486,P <0.05),history of eczema (OR = 7.966,95% CI :2.761-26.884, P <0.05),second-hand smoking(OR=5.81 9,95% CI :1.774-1 6.336,P <0.05),allergic constitution (OR = 8.652,95% CI :2.779-26.527,P < 0.05 )and severe type of bronchiolitis (OR = 10.278, 95% CI :2.1 64-22.481,P < 0.05.Conclusions There were multiple factors influenced the development from bronchiolitis to asthma.The medical staff should carry out health education to parents,such as reducing or eliminating the influence of risk factors,advocating breast feeding and taking BCG vaccination on time,etc..

  8. Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis

    Directory of Open Access Journals (Sweden)

    Jianhua Ni

    2016-08-01

    Full Text Available The spatial distribution of urban service facilities is largely constrained by the road network. In this study, network point pattern analysis and correlation analysis were used to analyze the relationship between road network and healthcare facility distribution. The weighted network kernel density estimation method proposed in this study identifies significant differences between the outside and inside areas of the Ming city wall. The results of network K-function analysis show that private hospitals are more evenly distributed than public hospitals, and pharmacy stores tend to cluster around hospitals along the road network. After computing the correlation analysis between different categorized hospitals and street centrality, we find that the distribution of these hospitals correlates highly with the street centralities, and that the correlations are higher with private and small hospitals than with public and large hospitals. The comprehensive analysis results could help examine the reasonability of existing urban healthcare facility distribution and optimize the location of new healthcare facilities.

  9. Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis

    Science.gov (United States)

    Ni, Jianhua; Qian, Tianlu; Xi, Changbai; Rui, Yikang; Wang, Jiechen

    2016-01-01

    The spatial distribution of urban service facilities is largely constrained by the road network. In this study, network point pattern analysis and correlation analysis were used to analyze the relationship between road network and healthcare facility distribution. The weighted network kernel density estimation method proposed in this study identifies significant differences between the outside and inside areas of the Ming city wall. The results of network K-function analysis show that private hospitals are more evenly distributed than public hospitals, and pharmacy stores tend to cluster around hospitals along the road network. After computing the correlation analysis between different categorized hospitals and street centrality, we find that the distribution of these hospitals correlates highly with the street centralities, and that the correlations are higher with private and small hospitals than with public and large hospitals. The comprehensive analysis results could help examine the reasonability of existing urban healthcare facility distribution and optimize the location of new healthcare facilities. PMID:27548197

  10. Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis.

    Science.gov (United States)

    Ni, Jianhua; Qian, Tianlu; Xi, Changbai; Rui, Yikang; Wang, Jiechen

    2016-08-18

    The spatial distribution of urban service facilities is largely constrained by the road network. In this study, network point pattern analysis and correlation analysis were used to analyze the relationship between road network and healthcare facility distribution. The weighted network kernel density estimation method proposed in this study identifies significant differences between the outside and inside areas of the Ming city wall. The results of network K-function analysis show that private hospitals are more evenly distributed than public hospitals, and pharmacy stores tend to cluster around hospitals along the road network. After computing the correlation analysis between different categorized hospitals and street centrality, we find that the distribution of these hospitals correlates highly with the street centralities, and that the correlations are higher with private and small hospitals than with public and large hospitals. The comprehensive analysis results could help examine the reasonability of existing urban healthcare facility distribution and optimize the location of new healthcare facilities.

  11. Protein structure similarity from principle component correlation analysis

    Directory of Open Access Journals (Sweden)

    Chou James

    2006-01-01

    Full Text Available Abstract Background Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities. Results We measure structural similarity between proteins by correlating the principle components of their secondary structure interaction matrix. In our approach, the Principle Component Correlation (PCC analysis, a symmetric interaction matrix for a protein structure is constructed with relationship parameters between secondary elements that can take the form of distance, orientation, or other relevant structural invariants. When using a distance-based construction in the presence or absence of encoded N to C terminal sense, there are strong correlations between the principle components of interaction matrices of structurally or topologically similar proteins. Conclusion The PCC method is extensively tested for protein structures that belong to the same topological class but are significantly different by RMSD measure. The PCC analysis can also differentiate proteins having similar shapes but different topological arrangements. Additionally, we demonstrate that when using two independently defined interaction matrices, comparison of their maximum

  12. Error analysis in correlation computation of single particle reconstruction technique

    Institute of Scientific and Technical Information of China (English)

    胡悦; 隋森芳

    1999-01-01

    The single particle reconstruction technique has become particularly important in the structure analysis of hiomaeromolecules. The problem of reconstructing a picture from identical samples polluted by colored noises is studied, and the alignment error in the correlation computation of single particle reconstruction technique is analyzed systematically. The concept of systematic error is introduced, and the explicit form of the systematic error is given under the weak noise approximation. The influence of the systematic error on the reconstructed picture is discussed also, and an analytical formula for correcting the distortion in the picture reconstruction is obtained.

  13. Correlational study on mitochondrial DNA mutations as potential risk factors in breast cancer.

    Science.gov (United States)

    Li, Linhai; Chen, Lidan; Li, Jun; Zhang, Weiyun; Liao, Yang; Chen, Jianyun; Sun, Zhaohui

    2016-05-24

    The presented study performed an mtDNA genome-wide association analysis to screen the peripheral blood of breast cancer patients for high-risk germline mutations. Unlike previous studies, which have used breast tissue in analyzing somatic mutations, we looked for germline mutations in our study, since they are better predictors of breast cancer in high-risk groups, facilitate early, non-invasive diagnoses of breast cancer and may provide a broader spectrum of therapeutic options. The data comprised 22 samples of healthy group and 83 samples from breast cancer patients. The sequencing data showed 170 mtDNA mutations in the healthy group and 393 mtDNA mutations in the disease group. Of these, 283 mtDNA mutations (88 in the healthy group and 232 in the disease group) had never been reported in the literature. Moreover, correlation analysis indicated there was a significant difference in 32 mtDNA mutations. According to our relative risk analysis of these 32 mtDNA mutations, 27 of the total had odds ratio values (ORs) of less than 1, meaning that these mutations have a potentially protective role to play in breast cancer. The remaining 5 mtDNA mutations, RNR2-2463 indelA, COX1-6296 C>A, COX1-6298 indelT, ATP6-8860 A>G, and ND5-13327 indelA, whose ORs were 8.050, 4.464, 4.464, 5.254 and 4.853, respectively, were regarded as risk factors of increased breast cancer. The five mutations identified here may serve as novel indicators of breast cancer and may have future therapeutic applications. In addition, the use of peripheral blood samples was procedurally simple and could be applied as a non-invasive diagnostic technique.

  14. Decreased levels of Fibroblast Growth Factor 21 are correlated with improved hypoglycemia in patients with insulinoma

    Science.gov (United States)

    Li, Xu; Yu, Haoyong; Yin, Jun; Li, Lianxi; Zhou, Jian; Li, Ming; Li, Qing; Chen, Haibing; Liu, Fang; Bao, Yuqian; Han, Junfeng; Jia, Weiping

    2017-01-01

    Fibroblast growth factor-21 (FGF-21) improves insulin sensitivity and lipid metabolism in obese or diabetic animal models and has been proposed as a potential therapeutic agent for treating T2DM, obesity, and their related complications. However, little is known about the changes of FGF21 levels in response to endogenous hyperinsulinemic hypoglycemia. To explore its relationship with parameters of glucose metabolism in patients with insulinoma, eleven subjects with pathological insulinoma and twenty-two healthy subjects were recruited for this study. Interestingly, we found that the serum FGF21 levels increased significantly in patients with insulinoma at baseline compared with the control group (381.36 ± 107.12 vs. 62.59 ± 10.48 pg/mL; P = 0.001). Furthermore, FGF21 was positively correlated with insulin (r = 0.80, P = 0.003) and proinsulin (r = 0.72, P = 0.012) in subjects with insulinoma. Multiple stepwise regression analysis showed that FGF21 was independently associated with insulin (β = 0.80, P = 0.003). In addition, FGF21 decreased significantly after surgery, and its change was still correlated positively with the changes in insulin (r = 0.61, P = 0.048) and proinsulin (r = 0.84, P = 0.001). These findings suggested that the serum FGF21 levels could be involved in a complex adaptive response to insulin secretion and glucose metabolism in humans. PMID:28225059

  15. Association and Correlation between Temporomandibular Disorders and Psychological Factors in a Group of Dental Undergraduate Students

    OpenAIRE

    Divya Sood; Arun V Subramaniam; Tulsi Subramaniam

    2014-01-01

    Aims/Objectives: To evaluate the prevalence and severity of temporomandibular disorders (TMD) and presence of psychological factors (i.e.,anxiety and depression levels) in dental undergraduate students. Second purpose was to assess the association and correlation between TMD degree and psychological factors viz. anxiety and depression. Materials and methods: The sample comprised of 400 Dental undergraduatestudents aged 18- 25 years, including both the genders. TMD degree was evaluated usi...

  16. STEMI直接PCI患者发生室颤的原因分析%The Correlation Factor Analysis of Fibrillation Ventricular of Acute Myocardial Infarction under the Treatment of PCI

    Institute of Scientific and Technical Information of China (English)

    吴龙梅; 田新利; 张健; 王世宏; 石宇杰; 李俊峡

    2014-01-01

    Objective To observe the relative factors of Ventricular Fibrillation(VF) in patients with ST-Elevation Myocardial Infarction (STEMI)undergoing primary percutaneous coronary intervention(PCI).Methods A total of 325 consecutive patients with STEMI who underwent primary PCI in General Hospital of Chinese PLA Beijing Military from January 2010 to October 2014. They were devided into 2 groups based on the patients with or without VF.All clinical data and characteristics of coronary lesion were compared between the two groups.Result Twenty-four(7.4%) patients occurred VF among these 325 STEMI patients when they were undergoing PCI. All these patients needed electric defibrillation when VF occurred.Nine of these 24 patients received antiarrhythmic drugs(amiodarone or lidocaine). No mortality was observed in all of the patients.There was no statistically significant difference in clinical data(age, gender, hypertension, diabetes mellitus,smoking, left ventricular ejection fraction),myocardial enzyme peak, infarction location,time from symptom onset to infarction related artery opening between the two groups(all p>0.05). VF group had a higher incidence of no-reflow phenomenon (20.8% vs 8.3%,p<0.05) and a lower serum potassium[(3.1±0.2) mmol/L vs (4.2±0.3)mmol/L, p<0.01] than non-VF group.Three patients died in hospital:1 in VF group and 2 in non-VF group.Conelusion No-reflow phenomenon and hypokalemia are related to VF in patients with STMI undergoing primary PCI.Physicians should pay more attention to the prevention of no-reflow phenomenon and hypokalemia during PCI.%目的:观察急性ST抬高心肌梗死(STEMI)患者直接经皮冠脉介入术(PCI)发生室颤的相关因素。方法选择2010年1月~2014年10月直接PCI的STEMI患者325例,分为发生室颤(VF)和无室颤两组,分析发生室颤的相关因素。结果325例STEMI患者在PCI术中发生室颤24例,24例患者出现室颤时均需要电除颤复律,其中9例患者应用了抗

  17. Determination of Effects of Environmental Factors on Stream Macroalgae in Xin' an Spring by Grey Correlation Analysis%用灰关联法分析环境因子对辛安泉泉溪大型藻类的影响

    Institute of Scientific and Technical Information of China (English)

    胡变芳; 谢树莲

    2013-01-01

    The effects of environmental factors on stream macroalgae were investigated.Data were collected from July 2009 to April 2010 from Xin' an Spring,Shanxi Province,north China.The environmental variables consisted of water temperature,pH,specific conductance,dissolved oxygen,surface current velocity,maximum depth and width.Forty-two species of stream macroalgae were identified in this spring.The correlation between these seven environmental factors and the number of stream macroalgal species were determined using grey correlation analysis.The results showed that water temperature and current velocity were the key factors affecting the number of stream macroalgae.This result was consistent with previous studies.Therefore,it indicated that the grey correlation analysis can be used in the study of algal ecological environment.%研究了环境因子对辛安泉泉域泉溪大型藻类的影响.2009年7月~2010年4月对标本进行了4次采集(每个季节一次),对每个采样点的环境因子水温,pH,电导,溶氧,流速,水体最大深度和宽度进行了监测和记录,同时对标本进行了显微观察和鉴定.经鉴定,该泉域共有大型藻类植物42种.采用灰关联分析法分析了以上环境因子对泉溪大型藻类植物种类数的影响.结果表明,影响的关键因子为水温和流速.分析结果与前人文献相一致.因此,表明将灰关联分析法应用于藻类生态环境研究方面是可行的.

  18. Multiple window correlation analysis of HRV power and respiratory frequency.

    Science.gov (United States)

    Hansson-Sandsten, Maria; Jönsson, Peter

    2007-10-01

    In this paper, we evaluate the correlation estimate, based on multiple window spectrum analysis, between the respiratory center frequency and the high-frequency band of the heartrate variability (HRV) power. One aim is to examine whether a more restricted frequency range would better capture respiratory related HR variation, especially when the HR variation is changing rapidly. The respiratory peak is detected and a narrow-banded measure of the high-frequency (HF) band of the HRV is defined as the respiratory frequency +/-0.05 Hz. We compare the mean square error of the correlation estimate between the frequency of the respiratory peak and the power of the HRV with the power in the usual 0.12-0.4 Hz frequency band. Different multiple window spectrum techniques are used for the estimation of the respiratory frequency as well as for the power of the HRV. We compare the peak-matched multiple windows with the Welch method while evaluating the two different HF-power estimates mentioned above. The results show that using a more narrow band for the power estimation gives stronger correlation which indicates that the estimate of the power is more robust.

  19. Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users

    Directory of Open Access Journals (Sweden)

    Bruce Weaver

    2014-09-01

    Full Text Available Missing data is a frequent problem for researchers conducting exploratory factor analysis (EFA or reliability analysis. The SPSS FACTOR procedure allows users to select listwise deletion, pairwise deletion or mean substitution as a method for dealing with missing data. The shortcomings of these methods are well-known. Graham (2009 argues that a much better way to deal with missing data in this context is to use a matrix of expectation maximization (EM covariances(or correlations as input for the analysis. SPSS users who have the Missing Values Analysis add-on module can obtain vectors ofEM means and standard deviations plus EM correlation and covariance matrices via the MVA procedure. But unfortunately, MVA has no /MATRIX subcommand, and therefore cannot write the EM correlations directly to a matrix dataset of the type needed as input to the FACTOR and RELIABILITY procedures. We describe two macros that (in conjunction with an intervening MVA command carry out the data management steps needed to create two matrix datasets, one containing EM correlations and the other EM covariances. Either of those matrix datasets can then be used asinput to the FACTOR procedure, and the EM correlations can also be used as input to RELIABILITY. We provide an example that illustrates the use of the two macros to generate the matrix datasets and how to use those datasets as input to the FACTOR and RELIABILITY procedures. We hope that this simple method for handling missing data will prove useful to both students andresearchers who are conducting EFA or reliability analysis.

  20. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

    This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...

  1. Sperm penetration assay and its correlation with semen analysis parameters

    Directory of Open Access Journals (Sweden)

    Laxmi Kant Pandey

    2015-11-01

    Full Text Available Background: Aim of current study was to determine whether the Sperm Penetration Assay (SPA can be used as a test to discriminate the infertile male from fertile one. We have also correlated the SPA with semen analysis. Methods: Sperm characteristics namely Semen analysis and the sperm penetration assay were tested in 44 infertile and 10 fertile men. Sperm penetration assay was determined by using zona free hamster eggs. Results: With decreasing spermatozoa concentration in the semen there was significant decrease in percentage penetration of zona free Hamster eggs (p0.05. Conclusions: The Sperm penetration assay could discriminate the infertile group from fertile group significantly (p<0.001. The test appeared to be highly reproducible and probably identifies a truly infertile male. [Int J Res Med Sci 2015; 3(11.000: 3197-3201

  2. Analysis of the correlation between metabolic risk factors in early pregnancy and neonatal macrosomia%母亲孕早期代谢性危险因素与巨大儿发生风险的关联分析

    Institute of Scientific and Technical Information of China (English)

    赵倩; 程毅; 严卫丽; 杨文红; 喻茜; 李春英; 马小玲; 施鹏; 陈少科; 曹芳; 张羿

    2012-01-01

    difference in the proportion of maternal overweight in early gestation between analyzed subjects and those missing birth weight data by using Person's chi-square tests. Conclusions About 1.8% of Chinese pregnant women met the criteria of MS in early gestation. The commonest components of MS including raised triglyceride ( 76. 2% ) and overweight ( 12. 0% ), were the most important risk factors for macrosomia. The findings call for the urgent need for early and throughout management of metabolic risks among pregnant women in order to control the adverse gestation outcomes.

  3. Correlation between Chromatograph Capacity Factors and Structural Parameters of Indole Derivatives

    Institute of Scientific and Technical Information of China (English)

    ZHENG Qing; WANG Zun-Yao; SUN Li; YU Bin

    2005-01-01

    Sixteen indole derivatives have been computed at B3LYP/6-311G** level using density functional theory (DFT). Based on linear solvation energy theory, the structural para- meters were employed to present correlation between the parameters of chromatograph capacity factor (CCF) and molecular structural parameters. As a result, the correlation equation of the reversed phased high performance liquid chromatograph capacity factor to the intercept lgk'w and slope S of CCF were obtained, from which the correlation coefficients of lgk'w to the structural parameters are r2 = 0.9596 and q2 = 0.9262. While the correlation coefficients of the parameter S with structures are r2 = 0.9750 and q2 = 0.9252. Moreover, the effect of water as solvent on the present two models was also considered using SCRF method, and the result shows that the predicting capacity of correlation equation of lgkw' increases, while that of the model for S decreases slightly. Both two correlation equations achieved in this work are more advantageous than those using theoretical descriptors from molecular connectivity indices.

  4. Mobility and Balance and Their Correlation with Physiological Factors in Elderly with Different Foot Postures

    Directory of Open Access Journals (Sweden)

    Aisyah Mohd Said

    2015-01-01

    Full Text Available This study determines (1 the correlation between mobility and balance performances with physiological factors and (2 the relationship between foot postures with anthropometric characteristics and lower limb characteristics among elderly with neutral, pronated, and supinated foot. A cross-sectional observational study was conducted in community-dwelling elderly (age: 69.86 ± 5.62 years. Participants were grouped into neutral (n=16, pronated (n=14, and supinated (n=14 foot based on the foot posture index classification. Anthropometric data (height, weight, and BMI, lower limb strength (5-STS and endurance (30 s chair rise test, mobility (TUG, and balance (FSST were determined. Data were analyzed using Spearman’s correlation coefficient. Body weight was negatively and moderately correlated (rs=-0.552, P<0.05 with mobility in supinated foot; moderate-to-high positive linear rank correlation was found between lower limb strength and mobility (rs=0.551 to 0.804, P<0.05 for pronated and neutral foot. Lower limb endurance was negatively and linearly correlated with mobility in pronated (rs=-0.699 and neutral (rs=-0.573 foot. No correlation was observed in balance performance with physiological factors in any of the foot postures. We can conclude that muscle function may be the most important feature to make movement possible in older persons regardless of the type of foot postures.

  5. Canonical correlation analysis of synchronous neural interactions and cognitive deficits in Alzheimer's dementia

    Science.gov (United States)

    Karageorgiou, Elissaios; Lewis, Scott M.; Riley McCarten, J.; Leuthold, Arthur C.; Hemmy, Laura S.; McPherson, Susan E.; Rottunda, Susan J.; Rubins, David M.; Georgopoulos, Apostolos P.

    2012-10-01

    In previous work (Georgopoulos et al 2007 J. Neural Eng. 4 349-55) we reported on the use of magnetoencephalographic (MEG) synchronous neural interactions (SNI) as a functional biomarker in Alzheimer's dementia (AD) diagnosis. Here we report on the application of canonical correlation analysis to investigate the relations between SNI and cognitive neuropsychological (NP) domains in AD patients. First, we performed individual correlations between each SNI and each NP, which provided an initial link between SNI and specific cognitive tests. Next, we performed factor analysis on each set, followed by a canonical correlation analysis between the derived SNI and NP factors. This last analysis optimally associated the entire MEG signal with cognitive function. The results revealed that SNI as a whole were mostly associated with memory and language, and, slightly less, executive function, processing speed and visuospatial abilities, thus differentiating functions subserved by the frontoparietal and the temporal cortices. These findings provide a direct interpretation of the information carried by the SNI and set the basis for identifying specific neural disease phenotypes according to cognitive deficits.

  6. Fluorescence correlation spectroscopy: Statistical analysis and biological applications

    Science.gov (United States)

    Saffarian, Saveez

    2002-01-01

    The experimental design and realization of an apparatus which can be used both for single molecule fluorescence detection and also fluorescence correlation and cross correlation spectroscopy is presented. A thorough statistical analysis of the fluorescence correlation functions including the analysis of bias and errors based on analytical derivations has been carried out. Using the methods developed here, the mechanism of binding and cleavage site recognition of matrix metalloproteinases (MMP) for their substrates has been studied. We demonstrate that two of the MMP family members, Collagenase (MMP-1) and Gelatinase A (MMP-2) exhibit diffusion along their substrates, the importance of this diffusion process and its biological implications are discussed. We show through truncation mutants that the hemopexin domain of the MMP-2 plays and important role in the substrate diffusion of this enzyme. Single molecule diffusion of the collagenase MMP-1 has been observed on collagen fibrils and shown to be biased. The discovered biased diffusion would make the MMP-1 molecule an active motor, thus making it the first active motor that is not coupled to ATP hydrolysis. The possible sources of energy for this enzyme and their implications are discussed. We propose that a possible source of energy for the enzyme can be in the rearrangement of the structure of collagen fibrils. In a separate application, using the methods developed here, we have observed an intermediate in the intestinal fatty acid binding protein folding process through the changes in its hydrodynamic radius also the fluctuations in the structure of the IFABP in solution were measured using FCS.

  7. Correlation analysis between ionospheric scintillation levels and receiver tracking performance

    Science.gov (United States)

    Sreeja, V.; Aquino, M.; Elmas, Z. G.; Forte, B.

    2012-06-01

    Rapid fluctuations in the amplitude and phase of a transionospheric radio signal caused by small scale plasma density irregularities in the ionosphere are known as scintillation. Scintillation can seriously impair a GNSS (Global Navigation Satellite Systems) receiver tracking performance, thus affecting the required levels of availability, accuracy and integrity, and consequently the reliability of modern day GNSS based applications. This paper presents an analysis of correlation between scintillation levels and tracking performance of a GNSS receiver for GPS L1C/A, L2C and GLONASS L1, L2 signals. The analyses make use of data recorded over Presidente Prudente (22.1°S, 51.4°W, dip latitude ˜12.3°S) in Brazil, a location close to the Equatorial Ionisation Anomaly (EIA) crest in Latin America. The study presents for the first time this type of correlation analysis for GPS L2C and GLONASS L1, L2 signals. The scintillation levels are defined by the amplitude scintillation index, S4 and the receiver tracking performance is evaluated by the phase tracking jitter. Both S4 and the phase tracking jitter are estimated from the post correlation In-Phase (I) and Quadra-Phase (Q) components logged by the receiver at a high rate. Results reveal that the dependence of the phase tracking jitter on the scintillation levels can be represented by a quadratic fit for the signals. The results presented in this paper are of importance to GNSS users, especially in view of the forthcoming high phase of solar cycle 24 (predicted for 2013).

  8. Web Link Counts Correlate with ISI Impact Factors: Evidence from Two Disciplines.

    Science.gov (United States)

    Vaughan, Liwen; Thelwall, Mike

    2002-01-01

    Reports on a study that compared counts of links to the Web home pages of academic journals with the citation based Journal Impact Factor (JIF) for two disciplines: library and information science, and law. Highlights include compiling the lists of journals (which are appended); locating Web pages; and correlations between JIF and link counts.…

  9. Correlation factor, velocity autocorrelation function and frequency-dependent tracer diffusion coefficient

    NARCIS (Netherlands)

    Beijeren, H. van; Kehr, K.W.

    1986-01-01

    The correlation factor, defined as the ratio between the tracer diffusion coefficient in lattice gases and the diffusion coefficient for a corresponding uncorrelated random walk, is known to assume a very simple form under certain conditions. A simple derivation of this is given with the aid of

  10. Correlates of Parental Differential Treatment: Parental and Contextual Factors during Middle Childhood

    Science.gov (United States)

    Atzaba-Poria, Naama; Pike, Alison

    2008-01-01

    The current study examined whether parental and contextual risk factors contribute to mothers' and fathers' differential treatment (MDT/FDT) when accounting for sibling dyad characteristics. Also explored was whether family type (single mothers vs. 2 parents) moderated the links between the parental and contextual correlates and MDT. One hundred…

  11. The Causal Factor Underlying the Correlation between Psychometric "g" and Scholastic Performance.

    Science.gov (United States)

    Luo, Dasen; Thompson, Lee A.; Detterman, Douglas K.

    2003-01-01

    Fitted structural equation models to covariances among 9 cognitive abilities Test variables, 11 intelligence test variables, and 3 achievement test scaled scores of 532 primary school children in a twin studies project. Results suggest that individual differences in mental speed are a main causal factor underlying correlation between general…

  12. Interpreting Canonical Correlation Analysis through Biplots of Structure Correlations and Weights.

    Science.gov (United States)

    ter Braak, Cajo J. F.

    1990-01-01

    Canonical weights and structure correlations are used to construct low dimensional views of the relationships between two sets of variables. These views, in the form of biplots, display familiar statistics: correlations between pairs of variables, and regression coefficients. (SLD)

  13. Respiratory syncytial virus infection in infants and correlation with meteorological factors and air pollutants

    Directory of Open Access Journals (Sweden)

    Vandini Silvia

    2013-01-01

    Full Text Available Abstract Background Respiratory Syncytial Virus (RSV is the most important cause of severe respiratory infections in infants with seasonal epidemics. Environmental factors (temperature, humidity, air pollution could influence RSV epidemics through their effects on virus activity and diffusion. Methods We conducted a retrospective study on a paediatric population who referred to our Paediatric Emergency Unit in order to analyze the correlation between weekly incidence of RSV positive cases during winter season in Bologna and meteorological factors and air pollutants concentration. Results We observed a significant correlation between the incidence of RSV infections and the mean minimum temperature registered during the same week and the previous weeks. The weekly number of RSV positive cases was also correlated to the mean PM10 concentration of the week before. Conclusions RSV epidemic trend in Bologna (Italy is related to the mean minimum temperature, and the mean PM10 concentration.

  14. [Correlative factors on prevalence rate of dislipidemia among 1 337 coal miners in Shanxi province].

    Science.gov (United States)

    Fu, Z D; Wen, D D; Wang, B; Xue, S L; Liu, G S; Li, X H; Zhao, Z H; Wang, J; Wei, B G; Wang, S P

    2017-02-10

    Objective: To understand the prevalence rate and correlative factors of dislipidemia among Shanxi coal miners and to provide evidence for the development of programs on dislipidemia prevention. Methods: We investigated 1 337 mine workers from a Coal Group in April 2016 and collected data related to their blood biochemistry. We then classified the types in accordance with the diagnostic criteria of " Guidelines for prevention and treatment of dyslipidemia in Chinese adults (2007)" , using χ(2) test and unconditional logistic regression model for analysis. Results: The overall prevalence rate of Dislipidemia was 59.1% (790/1 337), with males as 60.4% (708/1 173) and females as 50.0%(82/164) while males appeared higher (χ(2)=6.386, Pdislipidemia (χ(2)=7.117, Pdislipidemia (Pdislipidemia. Conclusion: Among the coal mine workers, those who were males, aged from 20 to 34, having high blood pressure (systolic blood pressure abnormalities) or with high BMI (≥24.0 kg/m(2)) need to be taken special attention on care and prevention of dislipidemia.

  15. CORRELATIVE ANALYSIS OF COSMIC RAY INTENSITY AND SOLAR ACTIVITY PARAMETERS

    Directory of Open Access Journals (Sweden)

    M. ROY

    2014-02-01

    Full Text Available Incoming cosmic ray shows significant intensity modulation in association with different solar geo parameters during their passage through heliosphere. Cosmic ray intensity is found anticorrelated with solar activity parameters. Using pressure corrected data of Mcmurdo neutron monitor, modulation of cosmic ray is analyzed covering solar cycles 21, 22, 23 and 24 (from 1976 to 2013. Negative and high correlations are obtained with some time lag for most of the solar parameters. Difference in shapes of hysteresis curves CRI~SSN, CRI~SRF. CRI~CI and CRI~FI for odd and even cycles pointed out that different mechanisms convection and diffusion are the dominating factors to drift cosmic ray particles.

  16. Correlating Detergent Fiber Analysis and Dietary Fiber Analysis Data for Corn Stover

    Energy Technology Data Exchange (ETDEWEB)

    Wolfrum, E. J.; Lorenz, A. J.; deLeon, N.

    2009-01-01

    There exist large amounts of detergent fiber analysis data [neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL)] for many different potential cellulosic ethanol feedstocks, since these techniques are widely used for the analysis of forages. Researchers working in the area of cellulosic ethanol are interested in the structural carbohydrates in a feedstock (principally glucan and xylan), which are typically determined by acid hydrolysis of the structural fraction after multiple extractions of the biomass. These so-called dietary fiber analysis methods are significantly more involved than detergent fiber analysis methods. The purpose of this study was to determine whether it is feasible to correlate detergent fiber analysis values to glucan and xylan content determined by dietary fiber analysis methods for corn stover. In the detergent fiber analysis literature cellulose is often estimated as the difference between ADF and ADL, while hemicellulose is often estimated as the difference between NDF and ADF. Examination of a corn stover dataset containing both detergent fiber analysis data and dietary fiber analysis data predicted using near infrared spectroscopy shows that correlations between structural glucan measured using dietary fiber techniques and cellulose estimated using detergent techniques, and between structural xylan measured using dietary fiber techniques and hemicellulose estimated using detergent techniques are high, but are driven largely by the underlying correlation between total extractives measured by fiber analysis and NDF/ADF. That is, detergent analysis data is correlated to dietary fiber analysis data for structural carbohydrates, but only indirectly; the main correlation is between detergent analysis data and solvent extraction data produced during the dietary fiber analysis procedure.

  17. Spinal appearance questionnaire: factor analysis, scoring, reliability, and validity testing.

    Science.gov (United States)

    Carreon, Leah Y; Sanders, James O; Polly, David W; Sucato, Daniel J; Parent, Stefan; Roy-Beaudry, Marjolaine; Hopkins, Jeffrey; McClung, Anna; Bratcher, Kelly R; Diamond, Beverly E

    2011-08-15

    Cross sectional. This study presents the factor analysis of the Spinal Appearance Questionnaire (SAQ) and its psychometric properties. Although the SAQ has been administered to a large sample of patients with adolescent idiopathic scoliosis (AIS) treated surgically, its psychometric properties have not been fully evaluated. This study presents the factor analysis and scoring of the SAQ and evaluates its psychometric properties. The SAQ and the Scoliosis Research Society-22 (SRS-22) were administered to AIS patients who were being observed, braced or scheduled for surgery. Standard demographic data and radiographic measures including Lenke type and curve magnitude were also collected. Of the 1802 patients, 83% were female; with a mean age of 14.8 years and mean initial Cobb angle of 55.8° (range, 0°-123°). From the 32 items of the SAQ, 15 loaded on two factors with consistent and significant correlations across all Lenke types. There is an Appearance (items 1-10) and an Expectations factor (items 12-15). Responses are summed giving a range of 5 to 50 for the Appearance domain and 5 to 20 for the Expectations domain. The Cronbach's α was 0.88 for both domains and Total score with a test-retest reliability of 0.81 for Appearance and 0.91 for Expectations. Correlations with major curve magnitude were higher for the SAQ Appearance and SAQ Total scores compared to correlations between the SRS Appearance and SRS Total scores. The SAQ and SRS-22 Scores were statistically significantly different in patients who were scheduled for surgery compared to those who were observed or braced. The SAQ is a valid measure of self-image in patients with AIS with greater correlation to curve magnitude than SRS Appearance and Total score. It also discriminates between patients who require surgery from those who do not.

  18. Correlation of primary tumor FDG uptake with clinicopathologic prognostic factors in invasive ductal carcinoma of the breast

    Energy Technology Data Exchange (ETDEWEB)

    Jo, I; Kim, Sung Hoon; Kim, Hae Won; Kang, Sung Hee [Keimyung University, School of Medicine, Daegu (Korea, Republic of); Zeon, Seok Kil [Dept. of Nuclear Medicine, Bundang Jesaeng General Hospital, Sungnam (Korea, Republic of); Kim, Su Jin [Dept. of Anesthesiology and Pain Medicine, Dongguk University, School of Medicine, Gyeongju (Korea, Republic of)

    2015-03-15

    The purpose of this study was to investigate the correlation of primary tumor FDG uptake to clinicopathological prognostic factors in invasive ductal carcinoma of the breast. We retrospectively reviewed 136 of 215 female patients with pathologically proven invasive ductal breast cancer from January 2008 to December 2011 who underwent F-18 FDG PET/CT for initial staging and follow-up after curative treatment with analysis of estrogen receptor (ER), progesterone receptor (PR) and human epithelial growth factor receptor 2 (HER2). The maximum standardized uptake value (SUV{sub max}) of the primary breast tumor was measured and compared with hormonal receptor and HER2 overexpression status. The high SUV{sub max} of primary breast tumors is significantly correlated with the clinicopathological factors: tumor size, histologic grade, TNM stage, negativity of ER, negativity of PR, HER2 overexpression and triple negativity. The recurrent group with non-triple negative cancer had a higher SUV{sub max} compared with the non-recurrent group, though no significant difference in FDG uptake was noted between the recurrence and non-recurrent groups in subjects with triple-negative cancer. Lymph node involvement was the independent risk factor for cancer recurrence in the multivariate analysis. In conclusion, high FDG uptake in primary breast tumors is significantly correlated with clinicopathological factors, such as tumor size, histologic grade, TNM stage, negativity of the hormonal receptor, HER2 overexpression and triple negativity. Therefore, FDG PET/CT is a helpful prognostic tool to direct the further management of patients with breast cancer.

  19. Developing Multidimensional Likert Scales Using Item Factor Analysis: The Case of Four-Point Items

    Science.gov (United States)

    Asún, Rodrigo A.; Rdz-Navarro, Karina; Alvarado, Jesús M.

    2016-01-01

    This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…

  20. Are Eurozone Fixed Income Markets Integrated? An Analysis Based on Wavelet Multiple Correlation and Cross Correlation

    Directory of Open Access Journals (Sweden)

    Arif Billah Dar

    2014-01-01

    Full Text Available This paper investigates the synchronization of fixed income markets within Eurozone countries using the new wavelet based methodology. Conventional wavelet methods that use multivariate set of variables to calculate pairwise correlation and cross correlation lead to spurious correlation due to possible relationships with other variables, amplification of type-1 errors, and results, in the form of large set of erroneous graphs. Given these disadvantages of conventional wavelet based pairwise correlation and cross-correlation method, we avoid these limitations by using wavelet multiple correlation and multiple cross correlations to analyze the relationships in Eurozone fixed income markets. Our results based on this methodology indicate that Eurozone fixed income markets are highly integrated and this integration grows with timescales, and hence there is almost no scope for independent monetary policy and bond diversification in these countries.

  1. A Comparison of Distribution Free and Non-Distribution Free Factor Analysis Methods

    Science.gov (United States)

    Ritter, Nicola L.

    2012-01-01

    Many researchers recognize that factor analysis can be conducted on both correlation matrices and variance-covariance matrices. Although most researchers extract factors from non-distribution free or parametric methods, researchers can also extract factors from distribution free or non-parametric methods. The nature of the data dictates the method…

  2. Outcomes of pediatric glioblastoma treated with adjuvant chemoradiation with temozolomide and correlation with prognostic factors

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    Supriya Mallick

    2015-01-01

    Full Text Available Background: Pediatric glioblastoma (pGBM patients are underrepresented in major trials for this disease. We aimed to explore the outcome of pGBM patients treated with concurrent and adjuvant temozolomide (TMZ. Materials and Methods: 23 patients of pGBM treated from 2004 to 2010 were included in this retrospective analysis. Adjuvant therapy included conformal radiation 60 gray at 2 gray/fraction daily over 6 weeks with concurrent TMZ 75 mg/m 2 followed by six cycles of adjuvant TMZ 150-200 mg/m 2 (day 1-5 every 4 weeks. Kaplan-Meier estimates of overall survival (OS were determined. Univariate analysis with log-rank test was used to determine the impact of prognostic variables on survival. Results: Median age at presentation was 11.5 years (range: 7-19 years and M:F ratio was 15:8. All patients underwent maximal safe surgical resection; 13 gross total resection and 10 sub-total resection. At a median follow-up of 18 months (range: 2.1-126 months, the estimated median OS was 41.9 months. The estimated median OS for patients receiving only concurrent TMZ was 8 months while that for patients receiving concurrent and adjuvant TMZ was 41.9 months (P = 0.081. Estimated median OS for patients who did not complete six cycles of adjuvant TMZ was 9.5 months versus not reached for those who completed at least six cycles (P = 0.0005. Other prognostic factors did not correlate with survival. Conclusions: Our study shows the benefit of TMZ for pGBM patients. Both concurrent and adjuvant TMZ seem to be important for superior OS in this group of patients.

  3. Correlation of Clinical and Dosimetric Factors With Adverse Pulmonary Outcomes in Children After Lung Irradiation

    Energy Technology Data Exchange (ETDEWEB)

    Venkatramani, Rajkumar, E-mail: rvenkatramani@chla.usc.edu [Division of Hematology/Oncology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California (United States); Kamath, Sunil [Department of Pulmonology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Wong, Kenneth [Division of Hematology/Oncology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Olch, Arthur J. [Division of Hematology/Oncology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Department of Radiation Oncology, University of Southern California, Los Angeles, California (United States); Malvar, Jemily [Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California (United States); Sposto, Richard [Division of Hematology/Oncology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California (United States); Goodarzian, Fariba [Department of Radiology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Freyer, David R. [Division of Hematology/Oncology, Children' s Hospital Los Angeles, Los Angeles, California (United States); Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California (United States); Keens, Thomas G. [Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California (United States); Department of Pulmonology, Children' s Hospital Los Angeles, Los Angeles, California (United States); and others

    2013-08-01

    Purpose: To identify the incidence and the risk factors for pulmonary toxicity in children treated for cancer with contemporary lung irradiation. Methods and Materials: We analyzed clinical features, radiographic findings, pulmonary function tests, and dosimetric parameters of children receiving irradiation to the lung fields over a 10-year period. Results: We identified 109 patients (75 male patients). The median age at irradiation was 13.8 years (range, 0.04-20.9 years). The median follow-up period was 3.4 years. The median prescribed radiation dose was 21 Gy (range, 0.4-64.8 Gy). Pulmonary toxic chemotherapy included bleomycin in 58.7% of patients and cyclophosphamide in 83.5%. The following pulmonary outcomes were identified and the 5-year cumulative incidence after irradiation was determined: pneumonitis, 6%; chronic cough, 10%; pneumonia, 35%; dyspnea, 11%; supplemental oxygen requirement, 2%; radiographic interstitial lung disease, 40%; and chest wall deformity, 12%. One patient died of progressive respiratory failure. Post-irradiation pulmonary function tests available from 44 patients showed evidence of obstructive lung disease (25%), restrictive disease (11%), hyperinflation (32%), and abnormal diffusion capacity (12%). Thoracic surgery, bleomycin, age, mean lung irradiation dose (MLD), maximum lung dose, prescribed dose, and dosimetric parameters between V{sub 22} (volume of lung exposed to a radiation dose ≥22 Gy) and V{sub 30} (volume of lung exposed to a radiation dose ≥30 Gy) were significant for the development of adverse pulmonary outcomes on univariate analysis. MLD, maximum lung dose, and V{sub dose} (percentage of volume of lung receiving the threshold dose or greater) were highly correlated. On multivariate analysis, MLD was the sole significant predictor of adverse pulmonary outcome (P=.01). Conclusions: Significant pulmonary dysfunction occurs in children receiving lung irradiation by contemporary techniques. MLD rather than prescribed

  4. What Is Rotating in Exploratory Factor Analysis?

    Science.gov (United States)

    Osborne, Jason W.

    2015-01-01

    Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

  5. Stepwise Variable Selection in Factor Analysis.

    Science.gov (United States)

    Kano, Yutaka; Harada, Akira

    2000-01-01

    Takes several goodness-of-fit statistics as measures of variable selection and develops backward elimination and forward selection procedures in exploratory factor analysis. A newly developed variable selection program, SEFA, can print several fit measures for a current model and models obtained by removing an internal variable or adding an…

  6. Multilevel exploratory factor analysis of discrete data

    NARCIS (Netherlands)

    Barendse, M.T.; Oort, F.J.; Jak, S.; Timmerman, M.E.

    2013-01-01

    Exploratory factor analysis (EFA) can be used to determine the dimensionality of a set of items. When data come from clustered subjects, such as pupils within schools or children within families, the hierarchical structure of the data should be taken into account. Standard multilevel EFA is only sui

  7. Correlation analysis of couple optical paths for microstereovision with stereo light microscope

    Institute of Scientific and Technical Information of China (English)

    WANG Yuezong; LI Desheng; YU Yaping

    2007-01-01

    A micro stereovision system with a stereo light microscope (SLM) has been applied in micromanipulation systems.There is a coupling connection between two optical paths of a stereo light microscope.The coupling intension corresponds with two factors:the structure of an SLM and the position of an object point in the view of an SLM.In this paper,a correlation function is proposed to describe the coupling intension between the couple optical paths of an SLM.The quantified results are applied to the error analysis of the imaging model.Experiments show that the correlation of the optical paths of a common main objective of stereo light microscope (CMO-SLM) is little more than that of a G-SLM,and the error must be considered when a pinhole imaging model is used to analyze its correlation.

  8. Testing the number of required dimensions in exploratory factor analysis

    Directory of Open Access Journals (Sweden)

    Achim, Andr\\'e

    2017-01-01

    Full Text Available While maximum likelihood exploratory factor analysis (EFA provides a statistical test that $k$ dimensions are sufficient to account for the observed correlations among a set of variables, determining the required number of factors in least-squares based EFA has essentially relied on heuristic procedures. Two methods, Revised Parallel Analysis (R-PA and Comparison Data (CD, were recently proposed that generate surrogate data based on an increasing number of principal axis factors in order to compare their sequence of eigenvalues with that from the data. The latter should be unremarkable among the former if enough dimensions are included. While CD looks for a balance between efficiency and parsimony, R-PA strictly test that $k$ dimensions are sufficient by ranking the next eigenvalue, i.e. at rank $k+1$, of the actual data among those from the surrogate data. Importing two features of CD into R-PA defines four variants that are here collectively termed Next Eigenvalue Sufficiency Tests (NESTs. Simulations implementing 144 sets of parameters, including correlated factors and presence of a doublet factor, show that all four NESTs largely outperform CD, the standard Parallel Analysis, the Mean Average Partial method and even the maximum likelihood approach, in identifying the correct number of common factors. The recommended, most successful NEST variant is also the only one that never overestimates the correct number of dimensions beyond its nominal $\\alpha$ level. This variant is made available as R and MATLAB code as well as a complement incorporated in a Microsoft Excel file.

  9. Correlates of Unwanted Births in Bangladesh: A Study through Path Analysis

    Science.gov (United States)

    Singh, Brijesh P.

    2016-01-01

    Background Unwanted birth is an important public health concern due to its negative association with adverse outcomes of mothers and children as well as socioeconomic development of a country. Although a number of studies have been investigated the determinants of unwanted births through logistic regression analysis, an extensive assessment using path model is lacking. In the current study, we applied path analysis to know the important covariates for unwanted births in Bangladesh. Methods The study used data extracted from Bangladesh Demographic and Health Survey (BDHS) 2011. It considered sub-sample consisted of 7,972 women who had given most recent births five years preceding the date of interview or who were currently pregnant at survey time. Correlation analysis was used to find out the significant association with unwanted births. This study provided the factors affecting unwanted births in Bangladesh. The path model was used to determine the direct, indirect and total effects of socio-demographic factors on unwanted births. Results The result exhibited that more than one-tenth of the recent births were unwanted in Bangladesh. The differentials of unwanted births were women’s age, education, age at marriage, religion, socioeconomic status, exposure of mass-media and use of family planning. In correlation analysis, it showed that unwanted births were positively correlated with women age and place of residence and these relationships were significant. On the contrary, unwanted births were inversely significantly correlated with education and social status. The total effects of endogenous variables such as women age, place of residence and use of family planning methods had favorable effect on unwanted births. Conclusion Policymakers and program planners need to design programs and services carefully to reduce unwanted births in Bangladesh, especially, service should focus on helping those groups of women who were identified in the analysis as being at

  10. Meconium microbiome analysis identifies bacteria correlated with premature birth.

    Directory of Open Access Journals (Sweden)

    Alexandria N Ardissone

    Full Text Available Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth.Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches.Increased detection of bacterial 16S rRNA in meconium of infants of <33 weeks gestational age was observed. Approximately 61·1% of reads sequenced were classified to genera that have been reported in amniotic fluid. Gestational age had the largest influence on microbial community structure (R = 0·161; p = 0·029, while mode of delivery (C-section versus vaginal delivery had an effect as well (R = 0·100; p = 0·044. Enterobacter, Enterococcus, Lactobacillus, Photorhabdus, and Tannerella, were negatively correlated with gestational age and have been reported to incite inflammatory responses, suggesting a causative role in premature birth.This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.

  11. Comparison of correlation analysis techniques for irregularly sampled time series

    Directory of Open Access Journals (Sweden)

    K. Rehfeld

    2011-06-01

    Full Text Available Geoscientific measurements often provide time series with irregular time sampling, requiring either data reconstruction (interpolation or sophisticated methods to handle irregular sampling. We compare the linear interpolation technique and different approaches for analyzing the correlation functions and persistence of irregularly sampled time series, as Lomb-Scargle Fourier transformation and kernel-based methods. In a thorough benchmark test we investigate the performance of these techniques.

    All methods have comparable root mean square errors (RMSEs for low skewness of the inter-observation time distribution. For high skewness, very irregular data, interpolation bias and RMSE increase strongly. We find a 40 % lower RMSE for the lag-1 autocorrelation function (ACF for the Gaussian kernel method vs. the linear interpolation scheme,in the analysis of highly irregular time series. For the cross correlation function (CCF the RMSE is then lower by 60 %. The application of the Lomb-Scargle technique gave results comparable to the kernel methods for the univariate, but poorer results in the bivariate case. Especially the high-frequency components of the signal, where classical methods show a strong bias in ACF and CCF magnitude, are preserved when using the kernel methods.

    We illustrate the performances of interpolation vs. Gaussian kernel method by applying both to paleo-data from four locations, reflecting late Holocene Asian monsoon variability as derived from speleothem δ18O measurements. Cross correlation results are similar for both methods, which we attribute to the long time scales of the common variability. The persistence time (memory is strongly overestimated when using the standard, interpolation-based, approach. Hence, the Gaussian kernel is a reliable and more robust estimator with significant advantages compared to other techniques and suitable for large scale application to paleo-data.

  12. ANALYSIS OF THE FACTORS AFFECTING THE AVERAGE

    Directory of Open Access Journals (Sweden)

    Carmen BOGHEAN

    2013-12-01

    Full Text Available Productivity in agriculture most relevantly and concisely expresses the economic efficiency of using the factors of production. Labour productivity is affected by a considerable number of variables (including the relationship system and interdependence between factors, which differ in each economic sector and influence it, giving rise to a series of technical, economic and organizational idiosyncrasies. The purpose of this paper is to analyse the underlying factors of the average work productivity in agriculture, forestry and fishing. The analysis will take into account the data concerning the economically active population and the gross added value in agriculture, forestry and fishing in Romania during 2008-2011. The distribution of the average work productivity per factors affecting it is conducted by means of the u-substitution method.

  13. A Clinicopathologic Correlation of Mammographic Parenchymal Patterns and Associated Risk Factors for Human Mammary Carcinoma

    Science.gov (United States)

    Bland, Kirby I.; Kuhns, James G.; Buchanan, Jerry B.; Dwyer, Patricia A.; Heuser, Louis F.; O'Connor, Carol A.; Gray, Laman A.; Polk, Hiram C.

    1982-01-01

    equal distribution frequency of the XM classification existed for screenees 50 years of age or older with cancer (p = 0.50), while screenees 35-49 years of age were more often observed to have the high-risk P2, DY patterns (p <0.001). Analysis of 1,759 histologic characteristics in biopsies of 863 patients with FCDB revealed ductal and lobular hyperplastic lesions, sclerosing adenosis, or epithelial cyst(s) to be the major constituents of 64-69% of the high-risk P2 (P2f, P2n, P2c) image (p < 0.001). These data suggest that XM parenchymal patterns observed in asymptomatic screenees incompletely correlate with known pathologic variables and risk factors. Additionally, benefit for recognition of these preinvasive proliferative pathologic factors and carcinomas appears restricted to the younger screenee. The clinical integration of these risk factors with XM patterns may allow preselection of patients deserving of frequent follow-up for breast cancer; however, these data do not support the contention that Wolfe XM patterns are predictors for screening strategies or that they decisively enhance patient management. ImagesFig. 1.Fig. 1.Fig. 2a.Fig. 2b.Fig. 2c.Fig. 2d. PMID:7073355

  14. Correlation of Serum Insulin-like Growth Factor 1 with Prostate Cancer

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    Mohsen Ayati

    2012-10-01

    Full Text Available Background: Insulin-like growth factor-1 can act in both an autocrine and paracrine manner to promote normal growth and malignant cellular proliferation. The importance of this factor as a major regulatory peptide has been established for cells, in vitro and in vivo. However, the role of serum insulin-like growth factor-1 levels in the etiology of benign prostatic hyperplasia and prostate cancer has not received sufficient attention. The aim of this study was to determine the relationship between benign prostatic hyperplasia, prostate cancer, and serum insulin-like growth factor-1 levels.Methods: We collected blood samples from 68 individuals with prostate cancer (cases and 68 individuals with benign prostatic hyperplasia (controls who were patients at Imam Khomeini Hospital in Tehran, Iran. Those with benign prostatic hyperplasia had normal prostatic specific antigen levels 0.05. Mean serum insulin-like growth factor-1 levels were 219 ng/ml for the case group and 133 ng/ml for the control group, which was significant (P=0.0009. We did not observe any correlation between age and insulin-like growth factor-1 in the case group (P=0.83, r= -0.47, however there was a significant correlation in the control group (P=0.007, r=0.549. Although correlation between prostate volume and serum insulin-like growth factor-1 levels was not statistically significant in the case group (P=0.38, r=0.213, therewas a positive correlation observed in the control group (P<0.008, r=0.537.Conclusion: Our findings suggest that insulin-like growth factor-1 may have an etiologic role in prostate cancer. This interpretation is strengthened by the significant difference observed between serum insulin-like growth factor-1 levels in benign prostatic hyperplasia and prostate cancer patients. These results also offer additional opportunities for evaluating patients who have abnormal digital rectal exams or prostate specific antigen levels, yet their biopsies are normal. Under

  15. Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer.

    Science.gov (United States)

    Shin, H J; Kim, H H; Huh, M O; Kim, M J; Yi, A; Kim, H; Son, B H; Ahn, S H

    2011-01-01

    The purpose of this study was to correlate sonographic and mammographic findings with prognostic factors in patients with node-negative invasive breast cancer. Sonographic and mammographic findings in 710 consecutive patients (age range 21-81 years; mean age 49 years) with 715 node-negative invasive breast cancers were retrospectively evaluated. Pathology reports relating to tumour size, histological grade, lymphovascular invasion (LVI), extensive intraductal component (EIC), oestrogen receptor (ER) status and HER-2/neu status were reviewed and correlated with the imaging findings. Statistical analysis was performed using logistic regression analysis and intraclass correlation coefficient (ICC). On mammography, non-spiculated masses with calcifications were associated with all poor prognostic factors: high histological grade, positive LVI, EIC, HER-2/neu status and negative ER. Other lesions were associated with none of these poor prognostic factors. Hyperdense masses on mammography, the presence of mixed echogenicity, posterior enhancement, calcifications in-or-out of masses and diffusely increased vascularity on sonography were associated with high histological grade and negative ER. Associated calcifications on both mammograms and sonograms were correlated with EIC and HER-2/neu overexpression. The ICC value for the disease extent was 0.60 on mammography and 0.70 on sonography. Several sonographic and mammographic features can have a prognostic value in the subsequent treatment of patients with node-negative invasive breast cancer. Radiologists should pay more attention to masses that are associated with calcifications because on both mammography and sonography associated calcifications were predictors of positive EIC and HER-2/neu overexpression.

  16. Meconium microbiome analysis identifies bacteria correlated with premature birth.

    Science.gov (United States)

    Ardissone, Alexandria N; de la Cruz, Diomel M; Davis-Richardson, Austin G; Rechcigl, Kevin T; Li, Nan; Drew, Jennifer C; Murgas-Torrazza, Roberto; Sharma, Renu; Hudak, Mark L; Triplett, Eric W; Neu, Josef

    2014-01-01

    Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth. Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches. Increased detection of bacterial 16S rRNA in meconium of infants of premature birth. This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.

  17. Correlation Analysis of Groundwater Colouration from Mountainous Areas, Ghana

    Directory of Open Access Journals (Sweden)

    R. Amfo-Otu

    2014-03-01

    Full Text Available Access to potable water is important for human development but inhabitants of mountainous areas face challenges of water supply due to inadequacy of the available surface water. Groundwater thus becomes the other alternative. The research was done on the groundwater quality with respect to colouration in five boreholes in some second cycle schools located in mountainous areas of the Akuapim North district. Four samples each were taken from the five boreholes for laboratory analysis. Colour, iron, manganese and some physical parameters were analysed and the results were compared with the World Health Organisation guidelines and the Ghana Urban Water Limited standard for drinking water. The results showed that conductivity and turbidity were all within the acceptable standards for drinking water. Colour strongly correlated positively with iron (r = 0.869, turbidity (r = 0.858, conductivity (r = 0.727 and manganese (r = 0.681, but pH (r = -0.715 strongly correlated negatively. Even though iron and manganese have no known health effects, they were associated with the colouration of the groundwater causing aesthetic problems for the users of the boreholes. Construction of a simple filter bed with aeration facility is critical to remove iron and manganese from the water to make it potable to the consumers. DOI: http://dx.doi.org/10.5755/j01.erem.67.1.4545

  18. Automatic Analysis of Cellularity in Glioblastoma and Correlation with ADC Using Trajectory Analysis and Automatic Nuclei Counting

    Science.gov (United States)

    Burth, Sina; Kieslich, Pascal J.; Jungk, Christine; Sahm, Felix; Kickingereder, Philipp; Kiening, Karl; Unterberg, Andreas; Wick, Wolfgang; Schlemmer, Heinz-Peter; Bendszus, Martin; Radbruch, Alexander

    2016-01-01

    Objective Several studies have analyzed a correlation between the apparent diffusion coefficient (ADC) derived from diffusion-weighted MRI and the tumor cellularity of corresponding histopathological specimens in brain tumors with inconclusive findings. Here, we compared a large dataset of ADC and cellularity values of stereotactic biopsies of glioblastoma patients using a new postprocessing approach including trajectory analysis and automatic nuclei counting. Materials and Methods Thirty-seven patients with newly diagnosed glioblastomas were enrolled in this study. ADC maps were acquired preoperatively at 3T and coregistered to the intraoperative MRI that contained the coordinates of the biopsy trajectory. 561 biopsy specimens were obtained; corresponding cellularity was calculated by semi-automatic nuclei counting and correlated to the respective preoperative ADC values along the stereotactic biopsy trajectory which included areas of T1-contrast-enhancement and necrosis. Results There was a weak to moderate inverse correlation between ADC and cellularity in glioblastomas that varied depending on the approach towards statistical analysis: for mean values per patient, Spearman’s ρ = -0.48 (p = 0.002), for all trajectory values in one joint analysis Spearman’s ρ = -0.32 (p < 0.001). The inverse correlation was additionally verified by a linear mixed model. Conclusions Our data confirms a previously reported inverse correlation between ADC and tumor cellularity. However, the correlation in the current article is weaker than the pooled correlation of comparable previous studies. Hence, besides cell density, other factors, such as necrosis and edema might influence ADC values in glioblastomas. PMID:27467557

  19. A Visual Analytics Approach for Correlation, Classification, and Regression Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Steed, Chad A [ORNL; SwanII, J. Edward [Mississippi State University (MSU); Fitzpatrick, Patrick J. [Mississippi State University (MSU); Jankun-Kelly, T.J. [Mississippi State University (MSU)

    2012-02-01

    New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today's increasing complex, multivariate data sets. In this paper, a novel visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today's data by combining automated statistical analytics with a highly interactive parallel coordinates based canvas. In addition to several intuitive interaction capabilities, this framework offers a rich set of graphical statistical indicators, interactive regression analysis, visual correlation mining, automated axis arrangements and filtering, and data classification techniques. The current work provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

  20. Correlation Analysis between Rural Tourism and Agricultural Food Marketing

    Directory of Open Access Journals (Sweden)

    Hui Song

    2015-04-01

    Full Text Available Rural tourism has much economic benefits, the development of rural tourism can fully utilize rural natural resources, optimizing the agricultural structure and expanding agricultural function. In this study, we make correlation analysis between rural tourism and agricultural food marketing by using time series model. The result shows that: First, rural tourism development will promote the agricultural food marketing in short time, but this effect will reduce gradually in the long time. Second, rural tourism is the granger reason to agricultural food marketing and there exist a long-term equilibrium relationship between them. From the VAR model, we can get that rural tourism will promote agricultural food marketing growth. LnRT at lag 1 period increased 1% can drive LnFPI growth by 0.48%; LnRT at lag 2 period increased 1% can drive LnFPI growth by 0.2%, so the effect of rural tourism on agricultural food marketing is obvious.

  1. Windows Volatile Memory Forensics Based on Correlation Analysis

    Directory of Open Access Journals (Sweden)

    Xiaolu Zhang

    2014-03-01

    Full Text Available In this paper, we present an integrated memory forensic solution for multiple Windows memory images. By calculation, the method can find out the correlation degree among the processes of volatile memory images and the hidden clues behind the events of computers, which is usually difficult to be obtained and easily ignored by analyzing one single memory image and forensic investigators. In order to test the validity, we performed an experiment based on two hosts' memory image which contains criminal incidents. According to the experimental result, we find that the event chains reconstructed by our method are similar to the actual actions in the criminal scene. Investigators can review the digital crime scenario which is contained in the data set by analyzing the experimental results. This paper is aimed at finding the valid actions with illegal attempt and making the memory analysis not to be utterly dependent on the operating system and relevant experts.

  2. Pulsar timing analysis in the presence of correlated noise

    CERN Document Server

    Coles, W; Champion, D J; Manchester, R N; Verbiest, J P W

    2011-01-01

    Pulsar timing observations are usually analysed with least-square-fitting procedures under the assumption that the timing residuals are uncorrelated (statistically "white"). Pulsar observers are well aware that this assumption often breaks down and causes severe errors in estimating the parameters of the timing model and their uncertainties. Ad hoc methods for minimizing these errors have been developed, but we show that they are far from optimal. Compensation for temporal correlation can be done optimally if the covariance matrix of the residuals is known using a linear transformation that whitens both the residuals and the timing model. We adopt a transformation based on the Cholesky decomposition of the covariance matrix, but the transformation is not unique. We show how to estimate the covariance matrix with sufficient accuracy to optimize the pulsar timing analysis. We also show how to apply this procedure to estimate the spectrum of any time series with a steep red power-law spectrum, including those wi...

  3. Analysis on correlation factors and nursing of postoperative delirium in elderly patients with tension -free inguinal hernia repairing%腹股沟疝无张力修补术后谵妄的相关因素分析及护理

    Institute of Scientific and Technical Information of China (English)

    资青兰; 李佩君; 王秋喆; 曹晓君; 赵娟; 匡姣

    2009-01-01

    Objective To analyze the correlation factors and to explore the care measures of postopera-tive delirium in elderly patients with tension - free inguinal hernia repairing. Methods 185 cases of elderly pa-tients with tension - free inguinal hernia repairing were analyzed by single - factor analysis and multi - factor logis-tic regression analysis. Results 24 cases of patients with delirium was delirium group, 161 cases who had not de-lirium was non - delirium group. The average age of delirium group, surgical time, the degree of postoperative wound pain, and the incidence of lumbodynia, the original brain heart and lung disease, dysuria, constipation, postoperative use of analgesics were significantly higher than those of non - delirium group (P<0.01~0.05) . Conclusions The occurrence of postoperative delirium in elderly patients with tension -free inguinal hernia re-pairing is correlated with age, operative time, postoperative pain, heart disease, lung disease, brain disease, dys-uria, constipation, postoperative use of analgesics, degree of postoperative wound pain.%目的 分析老年患者腹股沟疝无张力修补术后发生谵妄的相关因素,探讨相应的护理措施.方法 对185例硬膜外麻醉下行腹股沟疝无张力修补术老年患者的资料分组进行单因素分析和多因素logistic回归分析.结果 24例患者发生谵妄,为谵妄组,161例没有发生谵妄,为非谵妄组.谵妄组患者年龄大,手术时间长,术后伤口疼痛程度高,而且术后腰痛、原有心肺脑部病、排尿困难、便秘、术后使用止痛药等的发生率明显高于非谵妄组,有统计学意义(P<0.01~0.05).结论 老年患者腹股沟疝无张力修补术后发生谵妄与年龄、手术时间、术后腰痛、心脏疾病、肺部疾病、脑部疾病、排尿困难、便秘、术后使用止痛药、术后伤口痛程度等有相关性.

  4. Correlation network analysis applied to complex biofilm communities.

    Directory of Open Access Journals (Sweden)

    Ana E Duran-Pinedo

    Full Text Available The complexity of the human microbiome makes it difficult to reveal organizational principles of the community and even more challenging to generate testable hypotheses. It has been suggested that in the gut microbiome species such as Bacteroides thetaiotaomicron are keystone in maintaining the stability and functional adaptability of the microbial community. In this study, we investigate the interspecies associations in a complex microbial biofilm applying systems biology principles. Using correlation network analysis we identified bacterial modules that represent important microbial associations within the oral community. We used dental plaque as a model community because of its high diversity and the well known species-species interactions that are common in the oral biofilm. We analyzed samples from healthy individuals as well as from patients with periodontitis, a polymicrobial disease. Using results obtained by checkerboard hybridization on cultivable bacteria we identified modules that correlated well with microbial complexes previously described. Furthermore, we extended our analysis using the Human Oral Microbe Identification Microarray (HOMIM, which includes a large number of bacterial species, among them uncultivated organisms present in the mouth. Two distinct microbial communities appeared in healthy individuals while there was one major type in disease. Bacterial modules in all communities did not overlap, indicating that bacteria were able to effectively re-associate with new partners depending on the environmental conditions. We then identified hubs that could act as keystone species in the bacterial modules. Based on those results we then cultured a not-yet-cultivated microorganism, Tannerella sp. OT286 (clone BU063. After two rounds of enrichment by a selected helper (Prevotella oris OT311 we obtained colonies of Tannerella sp. OT286 growing on blood agar plates. This system-level approach would open the possibility of

  5. Correlation analysis for preseismic total electron content anomalies around the 2011 Tohoku-Oki earthquake

    Science.gov (United States)

    Iwata, Takuya; Umeno, Ken

    2016-09-01

    We can observe the changes of Total Electron Content, TEC, in ionosphere by analyzing the data from Global Navigation Satellite Systems (GNSS) satellites. Up to now, preseismic TEC anomalies have been reported in several papers. However, they are not so clear as coseismic TEC anomalies, and their analysis methods have some problems for practical earthquake prediction. One factor making it difficult to detect TEC anomalies is large noises in TEC data. Nonnegligible TEC disturbances are caused by many natural mechanisms. To overcome this difficulty, we propose correlation analyses between one GNSS station and GNSS stations surrounding it. First, we model TEC time series over a few hours using polynomial functions of time. Second, we calculate prediction errors as the departure of the TEC time series from the models over time scale of a few minutes and define it as the TEC anomaly. Third, we calculate the correlation between anomaly of one GNSS station and those at the surrounding stations. Although such a correlation method has long been used for radio communications, in particular for spread spectrum communications and very long baseline interferometry to increase signal-to-noise ratio, it has not been widely applied for TEC analysis. As a result of our method, we demonstrate that the correlation analysis can detect preseismic anomalies about 1 h before the 2011 Tohoku-Oki earthquake on 11 March (Mw 9.0), 20 min before the foreshock on 9 March and 40 min before the aftershock on 7 April (Mw 7.3).

  6. Tutorial on Biostatistics: Linear Regression Analysis of Continuous Correlated Eye Data.

    Science.gov (United States)

    Ying, Gui-Shuang; Maguire, Maureen G; Glynn, Robert; Rosner, Bernard

    2017-04-01

    To describe and demonstrate appropriate linear regression methods for analyzing correlated continuous eye data. We describe several approaches to regression analysis involving both eyes, including mixed effects and marginal models under various covariance structures to account for inter-eye correlation. We demonstrate, with SAS statistical software, applications in a study comparing baseline refractive error between one eye with choroidal neovascularization (CNV) and the unaffected fellow eye, and in a study determining factors associated with visual field in the elderly. When refractive error from both eyes were analyzed with standard linear regression without accounting for inter-eye correlation (adjusting for demographic and ocular covariates), the difference between eyes with CNV and fellow eyes was 0.15 diopters (D; 95% confidence interval, CI -0.03 to 0.32D, p = 0.10). Using a mixed effects model or a marginal model, the estimated difference was the same but with narrower 95% CI (0.01 to 0.28D, p = 0.03). Standard regression for visual field data from both eyes provided biased estimates of standard error (generally underestimated) and smaller p-values, while analysis of the worse eye provided larger p-values than mixed effects models and marginal models. In research involving both eyes, ignoring inter-eye correlation can lead to invalid inferences. Analysis using only right or left eyes is valid, but decreases power. Worse-eye analysis can provide less power and biased estimates of effect. Mixed effects or marginal models using the eye as the unit of analysis should be used to appropriately account for inter-eye correlation and maximize power and precision.

  7. Digital Image Correlation: Metrological Characterization in Mechanical Analysis

    Science.gov (United States)

    Petrella, Orsola; Signore, Davide; Caramuta, Pietro; Toscano, Cinzia; Ferraiuolo, Michele

    2017-04-01

    The Digital Image Correlation (DIC) is a newly developed optical technique that is spreading in all engineering sectors because it allows the non-destructive estimation of the entire surface deformation without any contact with the component under analysis. These characteristics make the DIC very appealing in all the cases the global deformation state is to be known without using strain gages, which are the most used measuring device. The DIC is applicable to any material subjected to distortion caused by either thermal or mechanical load, allowing to obtain high-definition mapping of displacements and deformations. That is why in the civil and the transportation industry, DIC is very useful for studying the behavior of metallic materials as well as of composite materials. DIC is also used in the medical field for the characterization of the local strain field of the vascular tissues surface subjected to uniaxial tensile loading. DIC can be carried out in the two dimension mode (2D DIC) if a single camera is used or in a three dimension mode (3D DIC) if two cameras are involved. Each point of the test surface framed by the cameras can be associated with a specific pixel of the image and the coordinates of each point are calculated knowing the relative distance between the two cameras together with their orientation. In both arrangements, when a component is subjected to a load, several images related to different deformation states can be are acquired through the cameras. A specific software analyzes the images via the mutual correlation between the reference image (obtained without any applied load) and those acquired during the deformation giving the relative displacements. In this paper, a Metrological Characterization of the Digital Image Correlation is performed on aluminum and composite targets both in static and dynamic loading conditions by comparison between DIC and strain gauges measures. In the static test, interesting results have been obtained thanks

  8. Correlation Analysis of Application Research Journals’ Citation Number and Impact Factor Empirical Analysis ---Based on 107 Social Sciences Journals%应用研究型期刊引文数量与影响因子关系分析--基于107种期刊的实证研究

    Institute of Scientific and Technical Information of China (English)

    吕观盛

    2015-01-01

    以2014年版《中国学术期刊影响因子年报(人文社会科学)》中的“信息与新闻出版学”、“图书馆学、情报学”和“体育”三个学科共107种应用研究型期刊作为分析样本,以“不同学科期刊影响因子平均值和平均引文数平均值”、“学科影响因子平均值和平均引文数平均值位序排列”、“学科期刊和所有期刊不同影响区段影响因子和平均引文数集中度”三个参数作为测度指标,实证分析期刊引文数量与期刊影响因子的相关性。结果显示:不管是学科而言,还是整体而言,应用型研究期刊的平均引文数量与期刊影响因子之间具有明显关联性。%Taking 107 application research periodicals in the three subjects of Information and Publishing News, Library and Information Science and Sports in the 2014 edition of Chinese Academic Journal Impact Factor Annual Report (Humanities and Social Sciences) as the analytical sample, with the three parameters of “different disciplines journal averages impact factor and the average number of citations”,“average impact factor and the av-erage citation number” and “ concentration of impact factor and the citation number among different location ” as measurement index , the empirical research analyses the correlation between the citation number and the journal im -pact factors.The results show that:in terms of subject matter, or the whole, there is a significant correlation be-tween applied research journals ’ average number of citations and journal impact factors .

  9. Correlation Analysis on Serum Interferon Regulatory Factor and Disease Activity Index,Anti SSA Antibody in Systemic Lupus Erythematosus Patients%SLE患者血清IRF4与疾病活动性指数、抗SSA抗体的相关性分析

    Institute of Scientific and Technical Information of China (English)

    郭钊林

    2015-01-01

    目的:探讨系统性红斑狼疮(systemic lupus erythematosus,SLE)患者血清干扰素调节因子(interferon regulatory factor,IRF4)与疾病活动性指数(disease activity index,DAI)、抗SSA抗体的关系。方法:选取本院2012年1月-2014年12月SLE患者60例作为观察组,健康体检者55例作为对照组,采用酶联免疫吸附试验(Enzyme-Linked Immuno Sorbent Assay,ELISA)法检测血清IRF4水平,Pearson相关性分析IRF4与DAI、抗SSA抗体的关系。结果:观察组血清干扰素调节因子水平明显高于对照组,DAI≥6分的系统性红斑狼疮患者血清干扰素调节因子水平明显高于DAI<6分的系统性红斑狼疮患者,抗SSA抗体阳性的的系统性红斑狼疮患者血清干扰素调节因子水平明显高于抗SSA抗体阴性的系统性红斑狼疮患者,比较差异均具有统计学意义(P<0.05)。经Pearson相关性分析发现,血清干扰素调节因子与DAI呈明显的正相关性(r=0.45,P<0.05),与抗SSA抗体呈明显的正相关(r=0.43,P<0.05)。结论:血清干扰素调节因子(IRF4)在系统性红斑狼疮患者中显著增高,其与疾病活动性指数、抗SSA抗体具有明显相关性,干扰素调节因子(IRF4)具有促进系统性红斑狼疮疾病的发生和发展。%Objective:To investigate the correlation analysis on serum interferon regulatory factor (IRF4) and disease activity index(DAI),anti SSA antibody in systemic lupus erythematosus (SLE).Method:60 systemic lupus erythematosus patients in our hospital from January 2012 to December 2014 were selected as the observation group,55 healthy cases were selected as the control group,the level of serum interferon regulatory factor was detected by Enzyme-Linked Immuno Sorbent Assay (ELISA) method,the relationship between serum interferon regulatory factor and disease activity index,anti SSA antibody was analyzed by the Pearson correlation.Result:The level of serum

  10. A Bayesian semiparametric factor analysis model for subtype identification.

    Science.gov (United States)

    Sun, Jiehuan; Warren, Joshua L; Zhao, Hongyu

    2017-04-25

    Disease subtype identification (clustering) is an important problem in biomedical research. Gene expression profiles are commonly utilized to infer disease subtypes, which often lead to biologically meaningful insights into disease. Despite many successes, existing clustering methods may not perform well when genes are highly correlated and many uninformative genes are included for clustering due to the high dimensionality. In this article, we introduce a novel subtype identification method in the Bayesian setting based on gene expression profiles. This method, called BCSub, adopts an innovative semiparametric Bayesian factor analysis model to reduce the dimension of the data to a few factor scores for clustering. Specifically, the factor scores are assumed to follow the Dirichlet process mixture model in order to induce clustering. Through extensive simulation studies, we show that BCSub has improved performance over commonly used clustering methods. When applied to two gene expression datasets, our model is able to identify subtypes that are clinically more relevant than those identified from the existing methods.

  11. Canonical Correlation Factors Causing the Formation of Accumulated Sand-belts along the Oasis Fringe in Hexi Corridor

    Institute of Scientific and Technical Information of China (English)

    Chang; Zhaofeng; Wang; Qiangqiang; Zhang; Jianhui; Tang; Jinnian; Zhu; Shujuan; Fan; Baoli; Zhang; Dabiao; Liu; Shizeng; Zhang; Guozhong; Li; Aide

    2014-01-01

    Accumulated sand-belts refer to those formed along the oasis fringe,especially at the upwind location,due to the accumulation of sand blocked by farmland windbreak. In the 60 years since the foundation of new China,a lot of trees have been planted for desertification combating in northwest and north China,thus,accumulated sand-belts were formed at the upwind location. The formation and the ecological effects of the accumulated sand-belts along the oasis fringe is a new scientific concern. To study the formation causes of these belts in Hexi corridor,21 samples were selected,and the height / width of the belts,as well as the vegetation,soil,soil moisture and climatic factors were investigated. This paper analyzed the correlation between the height / width of the belts and the vegetation,soil,soil moisture and climatic factors using the methods of variance analysis,correlation analysis and canonical correlation analysis. The results indicate that: the accumulated sand-belts take a trend of being high and wide in the east whereas low and narrow in the west,and most of the parts tend to be stable; the species on the belts are dominated by Tamarix austromongolica,the vegetation cover and the pure vegetation cover of different dominant species on the leeward slope of the accumulated sand-belts vary significantly. The canonical correlation analysis shows that: the height and width of accumulated sand-belt is the interaction of precipitation,distance to the sand source,leeward vegetation cover and annual average wind speed. Moreover,the height of accumulated sand-belts are negatively correlated to the soil moisture at the depth of 30- 50 cm,air humidity and leeward vegetation cover,and the width of the belts is also negatively correlated with the distance to the sand source. The ecological effects of the accumulated sand-belts are both positive( stopping sands from moving into farmland,protective role as an obstacle)and negative( when the belts decay and activate one day

  12. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2005-04-28

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis

  13. Studies on correlation of positive surgical margin with clinicopathological factors and prognoses in breast conserving surgery

    Energy Technology Data Exchange (ETDEWEB)

    Nishimura, Reiki; Nagao, Kazuharu; Miyayama, Haruhiko [Kumamoto City Hospital (Japan)

    1999-09-01

    Out of 484 cases with breast conserving surgery between April 1989 and March 1999, surgical procedures of 34 cases were changed to total mastectomy due to positive surgical margins. In this study we evaluated a clinical significance of surgical margin in relation to clinicopathological factors and prognoses. Ninety-nine cases (20.5%) had positive margins that were judged when cancer cells existed within 5 mm from margin. In multivariate analysis of factors for surgical margin, EIC-comedo status, ly, located site, proliferative activity, and age were significant and independent factors. Regarding local recurrence, positive margin, age, ER and proliferative activity were significant factors in multivariate analysis, especially in cases not receiving postoperative radiation therapy. Radiation therapy may be beneficial for patients with positive surgical margin. And patients with breast recurrence alone had significantly higher survival rates. Therefore, it is suggested that surgical margin may not reflect survival, although it is a significant factor for local recurrence. (author)

  14. Interactive Correlation Analysis and Visualization of Climate Data

    Energy Technology Data Exchange (ETDEWEB)

    Ma, Kwan-Liu [Univ. of California, Davis, CA (United States)

    2016-09-21

    The relationship between our ability to analyze and extract insights from visualization of climate model output and the capability of the available resources to make those visualizations has reached a crisis point. The large volume of data currently produced by climate models is overwhelming the current, decades-old visualization workflow. The traditional methods for visualizing climate output also have not kept pace with changes in the types of grids used, the number of variables involved, and the number of different simulations performed with a climate model or the feature-richness of high-resolution simulations. This project has developed new and faster methods for visualization in order to get the most knowledge out of the new generation of high-resolution climate models. While traditional climate images will continue to be useful, there is need for new approaches to visualization and analysis of climate data if we are to gain all the insights available in ultra-large data sets produced by high-resolution model output and ensemble integrations of climate models such as those produced for the Coupled Model Intercomparison Project. Towards that end, we have developed new visualization techniques for performing correlation analysis. We have also introduced highly scalable, parallel rendering methods for visualizing large-scale 3D data. This project was done jointly with climate scientists and visualization researchers at Argonne National Laboratory and NCAR.

  15. Correlation between two methods of florbetapir PET quantitative analysis.

    Science.gov (United States)

    Breault, Christopher; Piper, Jonathan; Joshi, Abhinay D; Pirozzi, Sara D; Nelson, Aaron S; Lu, Ming; Pontecorvo, Michael J; Mintun, Mark A; Devous, Michael D

    2017-01-01

    This study evaluated performance of a commercially available standardized software program for calculation of florbetapir PET standard uptake value ratios (SUVr) in comparison with an established research method. Florbetapir PET images for 183 subjects clinically diagnosed as cognitively normal (CN), mild cognitive impairment (MCI) or probable Alzheimer's disease (AD) (45 AD, 60 MCI, and 78 CN) were evaluated using two software processing algorithms. The research method uses a single florbetapir PET template generated by averaging both amyloid positive and amyloid negative registered brains together. The commercial software simultaneously optimizes the registration between the florbetapir PET images and three templates: amyloid negative, amyloid positive, and an average. Cortical average SUVr values were calculated across six predefined anatomic regions with respect to the whole cerebellum reference region. SUVr values were well correlated between the two methods (r2 = 0.98). The relationship between the methods computed from the regression analysis is: Commercial method SUVr = (0.9757*Research SUVr) + 0.0299. A previously defined cutoff SUVr of 1.1 for distinguishing amyloid positivity by the research method corresponded to 1.1 (95% CI = 1.098, 1.11) for the commercial method. This study suggests that the commercial method is comparable to the published research method of SUVr analysis for florbetapir PET images, thus facilitating the potential use of standardized quantitative approaches to PET amyloid imaging.

  16. A comparative study of friction factor correlations for high concentrate slurry flow in smooth pipes

    Directory of Open Access Journals (Sweden)

    Assefa K. M.

    2015-03-01

    Full Text Available A number of correlations for friction factor determinations in smooth pipes have been proposed in the past decades. The accuracy and applicability of these friction factor formulas should be examined. Based on this notion the paper is designed to provide a comparative study of friction factor correlations in smooth pipes for all flow regimes of Bingham fluids. Nine models were chosen. The comparisons of the selected equations with the existing experimental results, which are available in the literature, were expressed through MARE, MRE+, MRE-, RMSE, Ѳ, and S. The statistical comparisons were also carried out using MSC and AIC. The analyses show that the Wilson-Thomas (1985 and Morrison (2013 models are best fit models to the experimental data for the Reynolds number up to 40000. Within this range, both models can be used alternately. But beyond this Re value the discrepancy of the Wilson-Thomas model is higher than the Morrison model. In view of the fact that the Morrison model requires fewer calculations and parameters as well as a single equation is used to compute the friction factor for all flow regimes, it is the authors’ advice to use this model for friction factor estimation for the flow of Bingham fluids in smooth pipes as an alternative to the Moody chart and other implicit formulae.

  17. [Study on hepatitis B virus intrauterine infection state and its correlation factors].

    Science.gov (United States)

    Wang, Su-ping; Li, Tie-gang; Wei, Jun-ni; Shi, Xiao-hong; Li, Shu-zhen; Feng, Yong-liang; Wang, Xiao-jun

    2005-10-01

    To investigate the correlation factors of hepatitis B virus (HBV) intrauterine infection and the influence factors of HBV infection in peripheral blood mononuclear cells (PBMC) and placentas. HBeAg and HBsAg in 151 pregnant women and their newborns were determined by enzyme linked immunoadsorbent assay (ELISA). HBV DNA in serum and PBMC of pregnant women and their newborns were determined by polymerase chain reaction. HBsAg in 151 placentas were detected by immunohistochemistry ABC. The correlation risk factors were analyzed by non-condition logistic regression model. HBV DNA positive in serum, HBV DNA positive in PBMC of pregnant women and HBsAg positive in placentas were the risk factors for HBV intrauterine infection. Their odds ratio (OR) and 95% confidence interval were 2.25 (1.08-4.72), 2.69 (1.26-5.73) and 4.63 (1.70-12.62), respectively. The influence factors of HBV infection in placenta included antepartum injection of hepatitis B immunoglobulin (HBIG) over thrice and HBV DNA positive in serum of pregnant women with OR 0.08 (0.01-0.69) and 4.24 (1.22-14.69). The risk factor for HBV DNA positive in PBMC of newborns was HBV DNA positive in PBMC of their mothers with OR 24.53 (7.92-76.01). HBV infection in placentas, HBV DNA positive in PBMC and serum of pregnant women are the risk factors for HBV intrauterine infection. Antepartum injection of HBIG over thrice can protect placentas from being infected by HBV to some extent. PBMC HBV DNA positive in pregnant women is probably the independent risk factor for PBMC HBV intrauterine infection in newborns.

  18. Clinical efficacy of hysteroscope operation treatment of uterine cavity adhesion and correlative risk factors analysis of uterine cavity adhesion%宫腔镜下手术治疗宫腔粘连的临床疗效观察及宫腔粘连的相关危险因素分析

    Institute of Scientific and Technical Information of China (English)

    王海娜; 廖晟; 蒋优芬

    2012-01-01

    目的 探讨影响宫腔粘连的相关危险因素,并对宫腔镜下手术治疗宫腔粘连的临床疗效进行观察.方法 将120例自然流产患者根据其是否发生宫腔粘连分为宫腔粘连组和非宫腔粘连组,应用多因素回归分析对引起宫腔粘连的相关危险因素进行分析.并给予宫腔粘连患者宫腔镜下手术治疗,观察患者的疗效.结果 120例自然流产患者中有46例(38.3%)发生宫腔粘连.单因素分析结果显示,宫腔粘连发生与盆腔炎、孕次、吸宫时负压、吸宫时间存在相关性(P<0.05),而与年龄、受教育年限、职业、孕周、初潮年龄关系不明显(P>0.05);进一步行多因素分析显示,盆腔炎、吸宫时负压、吸宫时间是宫腔粘连发生的独立危险因素(P<0.05);轻、中、重度宫腔粘连宫腔镜下手术治疗总有效率分别为100.0%(18/18)、93.8%(15/16)、83.3%(10/12),不同程度宫腔粘连手术疗效比较差异无统计学意义(P> 0.05).结论 随着吸宫时负压的增加、吸宫时间的延长,患者发生宫腔粘连的风险亦随之升高,盆腔炎亦是宫腔粘连发生的独立危险因素;宫腔镜下手术治疗宫腔粘连有较好的疗效,特别是对于程度较轻的患者,值得临床推广应用.%Objective To study the correlative risk factors of uterine cavity adhesion (UCA),and observe the clinical efficacy of hysteroscope operation treatment of UCA.Methods According to whether the occurrence of UCA,120 patients with spontaneous abortion were divided into two groups.The correlative risk factors of UCA were analyzed by multiple factors regression analysis.The patients with UCA were treated with hysteroscope operation treatment,and the clinical efficacy were observed.Results In 120 patients with spontaneous abortion,46 patients (38.3%) had UCA.Single factor analysis result showed:UCA was correlated with pelvic inflammation,gravidity,uterine cavity suction negative pressure

  19. Factors affecting quality of life in adults with epilepsy in Taiwan: A cross-sectional, correlational study.

    Science.gov (United States)

    Chen, Hsiu-Fang; Tsai, Yun-Fang; Hsi, Mo-Song; Chen, Jui-Chen

    2016-05-01

    The purpose of this study was to assess eight factors considered important for quality of life in persons with epilepsy in order to determine which of these components affect quality of life in adults with epilepsy in Taiwan. A cross-sectional, correlational study using structured questionnaires assessed 260 patients with epilepsy purposively sampled from a medical center in Northern Taiwan. Health-related quality of life (HRQoL) was evaluated with the Quality of Life in Epilepsy-31 (QOLIE-31) questionnaire. Data also included personal and health-related characteristics, knowledge of epilepsy, efficacy in the self-management of epilepsy, and social support. Scores for the QOLIE-31 were correlated with the following factors: (1) demographic characteristics of age, gender, and income; (2) sleep quality; (3) symptoms of anxiety and depression; (4) epilepsy-specific variables: seizure frequency; types, number, and frequency of antiepileptic drugs (AEDs); and adverse events of AEDs; and (5) social support. Stepwise regression analysis showed that seven factors were predictive for quality of life: anxiety, depression, adverse events of AEDs, social support, seizure frequency of at least once in three months, household income of NT$ 40,001-100,000, and male gender. These factors accounted for 58.2% of the variance of quality of life. Our study assessed multiple factors in an examination of relationships and predictive factors for quality of life in adults with epilepsy in Taiwan. Knowledge of these contributing factors can assist health-care providers when evaluating patients with epilepsy to help target interventions for improving quality of life. Copyright © 2016 Elsevier Inc. All rights reserved.

  20. Magnetic Resonance Imaging of Breast Cancer and Correlation with Prognostic Factors

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Yun-Woo; Kwon, Kui Hyang; Choi, Deuk Lin; Lee, Dong Wha; Lee, Min Hyuk (College of Medicine, Soonchunhyang Univ. Hospital, Seoul (Korea)); Lee, Hye Kyung (Dept. of Radiology, Soonchunhyang Bucheon Hospital, Kyonggi (Korea)); Yang, Seung Boo (Dept. of Radiology, Soonchunhyang Gumi Hospital, Kyungbook (Korea)); Kim, Yongbae (Dept. of Preventive Medicine, Soonchunhyang Univ., Chungnam (Korea)); Seo, Dae Young (Dept. of Computer Engineering (KO) Polytechnic Univ., Kyonggi (Korea))

    2009-11-15

    Background: Prognostic factors of breast cancer have been used for the prediction of clinical outcome or selection of patients for complementary treatment. Some of the imaging features of breast cancer, e.g. magnetic resonance imaging (MRI), are associated with these prognostic factors. Purpose: To evaluate the relationship between dynamic enhanced MR features and prognostic factors of clinical outcome of breast cancer. Material and Methods: A total of 136 patients with 151 breast cancers underwent 1.5T dynamic MR imaging with the use of a dynamic T1-weighted three-dimensional fast low-angle shot (FLASH) subtraction imaging technique. Morphological and kinetic analyses of MR features were evaluated using the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon. Pathological prognostic factors were correlated with MR imaging characteristics, including tumor size, histological grade, lymph node status, expression of estrogen receptor (ER), expression of progesterone receptor (PR), expression of c-erbB2, determination of Ki-67 index, and microvascular density (MVD), using univariate and multivariate statistical analyses. Results: Based on univariate and multivariate analyses, spiculated tumor margins correlated significantly with lower histological grade (I-II) and positive PR expression. Rim enhancement was significantly correlated with high histological grade, presence of axillary lymph node metastasis, large tumor size, increased Ki-67 index, and increased MVD. Early peak enhancement, as seen on the first scan after contrast medium injection, was correlated with negative ER expression. Conclusion: The presence of a lesion with a spiculated margin may predict a relatively good prognosis, and the presence of a lesion with rim enhancement may predict a relatively poor prognosis

  1. Study of insulin status in metabolic syndrome in correlation with presence of other risk factors

    OpenAIRE

    Sudhanshu Shekhar; Ram Ranjan Singh; Md. Jawed Akhtar; Vijay Shankar

    2016-01-01

    Background: The metabolic syndrome or insulin resistance syndrome is widely prevalent and multifactorial disorder. The majority of persons with metabolic syndrome have insulin resistance. Insulin resistance and / or associated hyperinsulinemia are believed to be the direct cause of other metabolic syndrome risk factors. The present work is being done to assess the insulin status and to assess the correlation between insulin status and other component of metabolic syndrome. Methods: The pre...

  2. An exploratory analysis of personality factors contributed to suicide attempts

    Directory of Open Access Journals (Sweden)

    P. N. Suresh Kumar

    2013-01-01

    Full Text Available Background: People who attempt suicide have certain individual predispositions, part of which is contributed by personality traits. Aims: The present study was conducted to identify the psycho-sociodemographic and personality related factors contributing to suicide attempts. Materials and Methods: 104 suicide attempters admitted in various departments and referred to the department of psychiatry of IQRAA Hospital formed the study sample. They were evaluated with a self designed socio-demographic proforma, Eysenck′s Personality Questionnaire Revised, Albert Einstein College of Medicine-Impulsivity Coping Scale, and Past Feelings and Acts of Violence Scale. Statistics Analysis: The data was initially analyzed by percentage of frequencies. Association between socio-demographic and selected psychological factors was analyzed using t-test and Chi-square test. Intercorrelation among psychological factors was calculated by Pearson′s correlation coefficient "r". Results and Conclusion: Factors such as young age, being married, nuclear family, feeling lonely and burden to family, inability to solve the problems of day to day life, and presence of psychiatric diagnosis and personality traits such as neuroticism, impulsivity, and violence were contributed to suicide attempt. A significant positive relationship between these factors was also identified. Findings of the present study call the attention of mental health professionals to identify these high risk factors in susceptible individuals and to modify these factors to prevent them from attempting suicide.

  3. Comprehensive Evaluation of Entropy-hierarchical Grey Correlation Analysis for Highway Safety Life Protection Engineering

    Directory of Open Access Journals (Sweden)

    Jin Shuxins

    2016-01-01

    Full Text Available Different highway safety life protection engineering decision-making have important meaning. The achieving goals and optimal highway safety life protection engineering scheme can not only improve the function of the highway facilities and service level, still can reduce the traffic accident, which caused by the imperfect highway facilities. Different highway safety life protection engineering decision-making is a multiple targets, multi-layers and multi-schemes system evaluation problem. With regard to lack of concrete data on multiple targets, multi-layers and multi-schemes system evaluation problem, make analytical hierarchy process combined with the entropy value analysis into the grey relational comprehensive evaluation method, and then get entropy-hierarchical grey correlation analysis method. This method is a qualitative and quantitative decision method, which combine comparison principle of analytic hierarchy process (AHP and the entropy principle of entropy value analysis method to determine the relative weight of various indexes between factors layer-by-layer. Then using grey relational analysis by low-layer to high-layer step by step in the possible scheme and referenced scheme. Finally, calculating the comprehensive correlation degree between the possible scheme and referenced scheme, the best plan which has maximum grey correlation degree can be selected.

  4. Multifractal Detrended Cross-Correlation Analysis of agricultural futures markets

    Energy Technology Data Exchange (ETDEWEB)

    He Lingyun, E-mail: lyhe@amss.ac.cn [Center for Futures and Financial Derivatives, College of Economics and Management, China Agricultural University, Beijing 100083 (China); Chen Shupeng [Center for Futures and Financial Derivatives, College of Economics and Management, China Agricultural University, Beijing 100083 (China)

    2011-06-15

    Highlights: > We investigated cross-correlations between China's and US agricultural futures markets. > Power-law cross-correlations are found between the geographically far but correlated markets. > Multifractal features are significant in all the markets. > Cross-correlation exponent is less than averaged GHE when q < 0 and greater than the latter when q > 0. - Abstract: We investigated geographically far but temporally correlated China's and US agricultural futures markets. We found that there exists a power-law cross-correlation between them, and that multifractal features are significant in all the markets. It is very interesting that the geographically far markets show strong cross-correlations and share much of their multifractal structure. Furthermore, we found that for all the agricultural futures markets in our studies, the cross-correlation exponent is less than the averaged generalized Hurst exponents (GHE) when q < 0 and greater than the averaged GHE when q > 0.

  5. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    . Schölkopf et al. introduce kernel PCA. Shawe-Taylor and Cristianini is an excellent reference for kernel methods in general. Bishop and Press et al. describe kernel methods among many other subjects. Nielsen and Canty use kernel PCA to detect change in univariate airborne digital camera images. The kernel...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  6. Efficient techniques for genotype-phenotype correlational analysis.

    Science.gov (United States)

    Saha, Subrata; Rajasekaran, Sanguthevar; Bi, Jinbo; Pathak, Sudipta

    2013-04-04

    Single Nucleotide Polymorphisms (SNPs) are sequence variations found in individuals at some specific points in the genomic sequence. As SNPs are highly conserved throughout evolution and within a population, the map of SNPs serves as an excellent genotypic marker. Conventional SNPs analysis mechanisms suffer from large run times, inefficient memory usage, and frequent overestimation. In this paper, we propose efficient, scalable, and reliable algorithms to select a small subset of SNPs from a large set of SNPs which can together be employed to perform phenotypic classification. Our algorithms exploit the techniques of gene selection and random projections to identify a meaningful subset of SNPs. To the best of our knowledge, these techniques have not been employed before in the context of genotype-phenotype correlations. Random projections are used to project the input data into a lower dimensional space (closely preserving distances). Gene selection is then applied on the projected data to identify a subset of the most relevant SNPs. We have compared the performance of our algorithms with one of the currently known best algorithms called Multifactor Dimensionality Reduction (MDR), and Principal Component Analysis (PCA) technique. Experimental results demonstrate that our algorithms are superior in terms of accuracy as well as run time. In our proposed techniques, random projection is used to map data from a high dimensional space to a lower dimensional space, and thus overcomes the curse of dimensionality problem. From this space of reduced dimension, we select the best subset of attributes. It is a unique mechanism in the domain of SNPs analysis, and to the best of our knowledge it is not employed before. As revealed by our experimental results, our proposed techniques offer the potential of high accuracies while keeping the run times low.

  7. Parameters Obtained by Hepatobiliary Scintigraphy Have Significant Correlation with Biochemical Factors Early After Liver Transplantation

    Energy Technology Data Exchange (ETDEWEB)

    Kansoul, H.A.; Axelsson, R.; Yamamoto, S.; Savicheva, I.; Aspelin, P.; Ericzon, B.G.; Gjertsen, H. [Div. of Transplantation Surgery and Div. of Radiology, Dept. of Clinical Science, Intervention, and Technology, Karolinska Inst., Karolinska Univ. Hospital, Stockholm (Sweden)

    2007-08-15

    Background: Early postoperative hepatobiliary scintigraphy after liver transplantation is performed worldwide, but data on its significance for graft function are currently limited. Purpose: To examine the correlation between the result of early postoperative hepatobiliary scintigraphy and pre- and postoperative biochemical parameters in liver transplantation (LTx) patients. Material and Methods: Six parameters of hepatobiliary scintigraphy using {sup 99m}Tc mebrofenin were statistically analyzed in 108 LTx patients: 1) half-life of the activity of elimination of mebrofenin from the blood; 2) total clearance of mebrofenin from the blood due to all possible routes; 3) half-life of the activity due to liver uptake; 4) clearance of mebrofenin from the blood due to liver uptake; 5) time to maximal uptake in the liver; and 6) the hepatic extraction fraction (HEF) and biochemical data. Analysis between patients with preoperative normal liver function, familial amyloid polyneuropathy (FAP), and end-stage liver disease (non-FAP) was also performed. Results: Univariate and multivariate analysis revealed that total bilirubin postoperative day 3 correlated with all three scintigraphic parameters, and peak aspartate aminotransferase and alanine aminotransferase correlated with HEF. The analysis between patients with FAP and non-FAP revealed no significant difference of scintigraphic data between the two groups. Conclusion: A significant correlation between early postoperative scintigraphic results and biochemical parameters was demonstrated.

  8. Analysis of factors influencing decision making of Czech households when purchasing clothes and footwear

    Directory of Open Access Journals (Sweden)

    Zuzana Toufarová

    2007-01-01

    Full Text Available The paper analyses buying behaviour of Czech households on the market with footwear and cloths. It aims at factors influ, encing this behaviour, e.g. price, brand, quality, product attributes, habits, price reductions, advertisement, innovation and word-of-mauth. Primary data were obtained via survey of 727 Czech households by staff of the Department of Marketing and Trade, Mendel University of Agriculture and Forestry Brno. The paper provides results of correlation analysis and factor analysis. When making purchase decisions, households identify attributes and parameters of clothes and footwear as the most important factor. Due to factor analysis, factors were reduced into four comprehensive groups.

  9. What Is Rotating in Exploratory Factor Analysis?

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2015-01-01

    Full Text Available Exploratory factor analysis (EFA is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what - rotation- is, what exactly is rotating, and why we use rotation when performing EFAs. Some commentary about the relative utility and desirability of different rotation methods concludes the narrative.

  10. Factors influencing parenting efficacy of Asian immigrant, first-time mothers: A cross-sectional, correlational survey.

    Science.gov (United States)

    Roh, Eun Ha; Ahn, Jeong-Ah; Park, Somi; Song, Ju-Eun

    2017-08-01

    In this study, we determined the factors influencing parenting efficacy of Asian immigrant, first-time mothers. The research design was a cross-sectional, correlational study. The study included 125 first-time mothers who immigrated and married Korean men, and were living in Korea. Data were collected using translated questionnaires, and analyzed for descriptive statistics, Pearson correlation, and multiple regression analysis. The major finding was that the parenting efficacy of immigrant women was influenced by childcare support from their husbands, maternal identity, and original nationality. The findings suggest that customized programs be developed and used to enhance parenting efficacy for Asian immigrant, first-time mothers. In developing such programs, the advantages of maternal identity, social support from the husband, and women's cultural context should be considered. © 2017 John Wiley & Sons Australia, Ltd.

  11. IVUS-based FSI models for human coronary plaque progression study: components, correlation and predictive analysis.

    Science.gov (United States)

    Wang, Liang; Wu, Zheyang; Yang, Chun; Zheng, Jie; Bach, Richard; Muccigrosso, David; Billiar, Kristen; Maehara, Akiko; Mintz, Gary S; Tang, Dalin

    2015-01-01

    Atherosclerotic plaque progression is believed to be associated with mechanical stress conditions. Patient follow-up in vivo intravascular ultrasound coronary plaque data were acquired to construct fluid-structure interaction (FSI) models with cyclic bending to obtain flow wall shear stress (WSS), plaque wall stress (PWS) and strain (PWSn) data and investigate correlations between plaque progression measured by wall thickness increase (WTI), cap thickness increase (CTI), lipid depth increase (LDI) and risk factors including wall thickness (WT), WSS, PWS, and PWSn. Quarter average values (n = 178-1016) of morphological and mechanical factors from all slices were obtained for analysis. A predictive method was introduced to assess prediction accuracy of risk factors and identify the optimal predictor(s) for plaque progression. A combination of WT and PWS was identified as the best predictor for plaque progression measured by WTI. Plaque WT had best overall correlation with WTI (r = -0.7363, p WTI: (r = -0.3208, p < 1E-10); cap thickness: (r = 0.4541, p < 1E-10); CTI: (r = -0.1719, p = 0.0190); LD: (r = -0.2206, p < 1E-10); LDI: r = 0.1775, p < 0.0001). WSS had mixed correlation results.

  12. Lorentz factor - Beaming corrected energy/luminosity correlations and GRB central engine models

    Science.gov (United States)

    Yi, Shuang-Xi; Lei, Wei-Hua; Zhang, Bing; Dai, Zi-Gao; Wu, Xue-Feng; Liang, En-Wei

    2017-03-01

    We work on a GRB sample whose initial Lorentz factors (Γ0) are constrained by the afterglow onset method and the jet opening angles (θj) are determined by the jet break time. We confirm the Γ0-Eγ,iso correlation by Liang et al. (2010), and the Γ0-Lγ,iso correlation by Lü et al. (2012). Furthermore, we find correlations between Γ0 and the beaming corrected γ-ray energy (Eγ) and mean γ-ray luminosity (Lγ). By also including the kinetic energy of the afterglow, we find rough correlations (with larger scatter) between Γ0 and the total (γ-ray plus kinetic) energy and the total mean luminosity, both for isotropic values and beaming corrected values: these correlations allow us to test the data with GRB central engine models. Limiting our sample to the GRBs that likely have a black hole central engine, we compare the data with theoretical predictions of two types of jet launching mechanisms from BHs, i.e. the non-magnetized ν ν bar -annihilation mechanism, and the strongly magnetized Blandford-Znajek (BZ) mechanism. We find that the data are more consistent with the latter mechanism, and discuss the implications of our findings for GRB jet composition.

  13. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    An Gie Yong

    2013-10-01

    Full Text Available The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.

  14. Correlation models between environmental factors and bacterial resistance to antimony and copper.

    Directory of Open Access Journals (Sweden)

    Zunji Shi

    Full Text Available Antimony (Sb and copper (Cu are toxic heavy metals that are associated with a wide variety of minerals. Sb(III-oxidizing bacteria that convert the toxic Sb(III to the less toxic Sb(V are potentially useful for environmental Sb bioremediation. A total of 125 culturable Sb(III/Cu(II-resistant bacteria from 11 different types of mining soils were isolated. Four strains identified as Arthrobacter, Acinetobacter and Janibacter exhibited notably high minimum inhibitory concentrations (MICs for Sb(III (>10 mM,making them the most highly Sb(III-resistant bacteria to date. Thirty-six strains were able to oxidize Sb(III, including Pseudomonas-, Comamonas-, Acinetobacter-, Sphingopyxis-, Paracoccus- Aminobacter-, Arthrobacter-, Bacillus-, Janibacter- and Variovorax-like isolates. Canonical correspondence analysis (CCA revealed that the soil concentrations of Sb and Cu were the most obvious environmental factors affecting the culturable bacterial population structures. Stepwise linear regression was used to create two predictive models for the correlation between soil characteristics and the bacterial Sb(III or Cu(II resistance. The concentrations of Sb and Cu in the soil was the significant factors affecting the bacterial Sb(III resistance, whereas the concentrations of S and P in the soil greatly affected the bacterial Cu(II resistance. The two stepwise linear regression models that we derived are as follows: MIC(Sb(III=606.605+0.14533 x C(Sb+0.4128 x C(Cu and MIC((Cu(II=58.3844+0.02119 x C(S+0.00199 x CP [where the MIC(Sb(III and MIC(Cu(II represent the average bacterial MIC for the metal of each soil (μM, and the C(Sb, C(Cu, C(S and C(P represent concentrations for Sb, Cu, S and P (mg/kg in soil, respectively, p<0.01]. The stepwise linear regression models we developed suggest that metals as well as other soil physicochemical parameters can contribute to bacterial resistance to metals.

  15. A Canonical Correlation Analysis of AIDS Restriction Genes and Metabolic Pathways Identifies Purine Metabolism as a Key Cooperator

    Directory of Open Access Journals (Sweden)

    Hanhui Ye

    2016-01-01

    Full Text Available Human immunodeficiency virus causes a severe disease in humans, referred to as immune deficiency syndrome. Studies on the interaction between host genetic factors and the virus have revealed dozens of genes that impact diverse processes in the AIDS disease. To resolve more genetic factors related to AIDS, a canonical correlation analysis was used to determine the correlation between AIDS restriction and metabolic pathway gene expression. The results show that HIV-1 postentry cellular viral cofactors from AIDS restriction genes are coexpressed in human transcriptome microarray datasets. Further, the purine metabolism pathway comprises novel host factors that are coexpressed with AIDS restriction genes. Using a canonical correlation analysis for expression is a reliable approach to exploring the mechanism underlying AIDS.

  16. Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective

    Science.gov (United States)

    Dutta, Srimonti; Ghosh, Dipak; Chatterjee, Sucharita

    2016-12-01

    The manuscript studies autocorrelation and cross correlation of SENSEX fluctuations and Forex Exchange Rate in respect to Indian scenario. Multifractal detrended fluctuation analysis (MFDFA) and multifractal detrended cross correlation analysis (MFDXA) were employed to study the correlation between the two series. It was observed that the two series are strongly cross correlated. The change of degree of cross correlation with time was studied and the results are interpreted qualitatively.

  17. Expression of Interleukin-11 and Interleukin-11 receptor in human colorectal adenocarcinoma; Immunohistochemical analyses and correlation with clinicopathological factors

    Institute of Scientific and Technical Information of China (English)

    Kazuyuki Yamazumi; Toshiyuki Nakayama; Takafumi Kusaba; Chun Yang Wen; Ayumi Yoshizaki; Yuichi Yakata; Takeshi Nagayasu; Ichiro Sekine

    2006-01-01

    AIM: There is strong evidence that interleukin-11 (IL-11)is involved in the regulation of tumor progression, cellular growth and differentiation. Recently, interleukin-11receptor (IL-11R) has been detected on some cancer cells. In this study, we investigated the expression of IL-11 and IL-11R in colorectal adenocarcinoma.METHODS: To elucidate the involvement of IL-11 and IL-11Rα in human intestinal adenocarcinomas, we examined 115 cases of surgically resected human colonic adenocarcinoma and 11 cases of adenoma by immunohistochemistry and Western blotting.RESULTS: Among 115 cases of adenocarcinoma, 100cases (87.0%) showed positive staining in the cytoplasm of carcinoma cells for the IL-11, and 87 cases (75.6%)were positive for the IL-11Rα. Six cases (54.5%) and four cases (36.4%) of 11 adenomas were positive for IL-11 and IL-11Rα, respectively. The expression of IL-11Rα correlated with the histological differentiation (P =0.033503), the depth of tumor invasion (P= 0.006395),Dukes classification (P= 0.015648) and lymphatic invasion (P=0.003865). However, the expression of IL-11Rα was not correlated with the venous invasion and the presence of lymph node metastasis. The expression of IL-11 was not correlated with any clinicopathological factors. In Western blot analysis, two human colorectal carcinoma cell lines and four tissues of surgically resected human carcinoma expressed both IL-11 and IL-11Rαproteins.CONCLUSION: IL-11 and IL-11Rα are highly expressed in human colorectal adenocarcinoma and the IL-11Rα expression is correlated with clinicopathological factors.These findings suggest that the expression of IL-11Rα is an important factor for the invasion of human colorectal adenocarcinoma.

  18. Asymmetric correlation matrices: an analysis of financial data

    Science.gov (United States)

    Livan, G.; Rebecchi, L.

    2012-06-01

    We analyse the spectral properties of correlation matrices between distinct statistical systems. Such matrices are intrinsically non-symmetric, and lend themselves to extend the spectral analyses usually performed on standard Pearson correlation matrices to the realm of complex eigenvalues. We employ some recent random matrix theory results on the average eigenvalue density of this type of matrix to distinguish between noise and non-trivial correlation structures, and we focus on financial data as a case study. Namely, we employ daily prices of stocks belonging to the American and British stock exchanges, and look for the emergence of correlations between two such markets in the eigenvalue spectrum of their non-symmetric correlation matrix. We find several non trivial results when considering time-lagged correlations over short lags, and we corroborate our findings by additionally studying the asymmetric correlation matrix of the principal components of our datasets.

  19. The correlation between serum epidermal growth factor/testicular epidermal growth factor receptor and spermatogenesis in rat

    Institute of Scientific and Technical Information of China (English)

    Peng Yi-feng; Bao Shi-hua; Xu Dong-liang; Zong Wan; Fang Xiang; Sheng Shi-le; Lu Ling-ming; Xu Guo-xiang; LU Ren-kang

    2004-01-01

    Objective: To investigate the correlation between epidermal growth factor (EGF)/testicular epidermal growth factor receptor (EGF-R) and spermatogenesis in rat.Methods: Forty mature male Spraque-Dauley (SD) rats were randomly assigned to four groups, ten rats in each: sham operation group (SOG), sialoadenectomy group (SG), sialoadeand blood and testes were obtained on the 48th day after the operation. Serum EGF concentrations were determined by radioimmunoassay (RIA), expression of EGF-R in testes was examined by the immunohistochemical method, and the spermatogenesis was pathologically checked.Results:Serum EGF levels in SG-EGFIand SG decreased significantly when compared with those of SOG (P<0.05 and P< 0.01, respectively). The testicular function of spermatogenesis showed a moderate to severe impairment in SG. The expression of EGF-R in Leydig cells decreased in SG (P< 0. 05). The two dosage groups of EGF replacement had different effects.There were no significant differences of EGF-R expression in testicular germ cells, Sertoli cells and Leydig cells in SOG, SG-EGFIand SG-EGFⅡ(P>0.05).Conclusion: EGF may play an important role in the regulation of spermatogenesis. Serum EGF concentration and high expression of EGF-R in Leydig cells have a positive correlation with spermatogenic function of the testes.

  20. Confirmatory factor analysis of the Child Oral Health Impact Profile (Korean version).

    Science.gov (United States)

    Cho, Young Il; Lee, Soonmook; Patton, Lauren L; Kim, Hae-Young

    2016-04-01

    Empirical support for the factor structure of the Child Oral Health Impact Profile (COHIP) has not been fully established. The purposes of this study were to evaluate the factor structure of the Korean version of the COHIP (COHIP-K) empirically using confirmatory factor analysis (CFA) based on the theoretical framework and then to assess whether any of the factors in the structure could be grouped into a simpler single second-order factor. Data were collected through self-reported COHIP-K responses from a representative community sample of 2,236 Korean children, 8-15 yr of age. Because a large inter-factor correlation of 0.92 was estimated in the original five-factor structure, the two strongly correlated factors were combined into one factor, resulting in a four-factor structure. The revised four-factor model showed a reasonable fit with appropriate inter-factor correlations. Additionally, the second-order model with four sub-factors was reasonable with sufficient fit and showed equal fit to the revised four-factor model. A cross-validation procedure confirmed the appropriateness of the findings. Our analysis empirically supported a four-factor structure of COHIP-K, a summarized second-order model, and the use of an integrated summary COHIP score.

  1. Correlation Between Posttraumatic Growth and Posttraumatic Stress Disorder Symptoms Based on Pearson Correlation Coefficient: A Meta-Analysis.

    Science.gov (United States)

    Liu, An-Nuo; Wang, Lu-Lu; Li, Hui-Ping; Gong, Juan; Liu, Xiao-Hong

    2016-11-22

    The literature on posttraumatic growth (PTG) is burgeoning, with the inconsistencies in the literature of the relationship between PTG and posttraumatic stress disorder (PTSD) symptoms becoming a focal point of attention. Thus, this meta-analysis aims to explore the relationship between PTG and PTSD symptoms through the Pearson correlation coefficient. A systematic search of the literature from January 1996 to November 2015 was completed. We retrieved reports on 63 studies that involved 26,951 patients. The weighted correlation coefficient revealed an effect size of 0.22 with a 95% confidence interval of 0.18 to 0.25. Meta-analysis provides evidence that PTG may be positively correlated with PTSD symptoms and that this correlation may be modified by age, trauma type, and time since trauma. Accordingly, people with high levels of PTG should not be ignored, but rather, they should continue to receive help to alleviate their PTSD symptoms.

  2. Correlation between quantitative fit factors and workplace protection factors measured in actual workplace environments at a steel foundry.

    Science.gov (United States)

    Zhuang, Ziqing; Coffey, Christopher C; Jensen, Paul A; Campbell, Donald L; Lawrence, Robert B; Myers, Warren R

    2003-01-01

    Past studies have found little or no correlation between workplace protection factors (WPFs) and quantitative fit factors (FFs). This study investigated the effect of good- and poor-fitting half-facepiece, air-purifying respirators on protection in actual workplace environments at a steel foundry and the correlation between WPFs and FFs. Fifteen burners and welders, who wore respirators voluntarily, and chippers participated in this study. Each subject was fit-tested with two respirator models each with three sizes, for a total of six fit-tests. Models and sizes were assigned this way to provide a wide range of FFs among study participants. Each worker donned the respirator twice per day (at the beginning of the shift and following the lunch break) for 2 days. Quantitative FFs were first obtained for each donning using the PortaCount Plus trade mark in a separate room. Without redonning the respirators, workers performed normal work for 1 to 2 hours, and WPFs were measured by collecting ambient and in-facepiece samples simultaneously. A second fit-test was conducted without disturbing the respirator. FFs were obtained by averaging the results from the first and second fit-tests. The resulting FFs had a geometric mean (GM) of 400 (range=10-6010) and a geometric standard deviation (GSD) of 6.1. Of the 55 valid donnings, 43 were good fitting (FFs> or =100) and 12 were poor fitting (FFs<100). The WPFs had a GM of 920 (range=13-230,000) and a GSD of 17.8. The WPFs were found to be significantly correlated with the FFs (R(2)=.55 and p-value=.0001). Therefore, FF was shown to be a meaningful indicator of respirator performance in actual workplace environments.

  3. Exploratory factor analysis of the Dizziness Handicap Inventory (German version

    Directory of Open Access Journals (Sweden)

    de Bruin Eling D

    2010-03-01

    Full Text Available Abstract Background The Dizziness Handicap Inventory (DHI is a validated, self-report questionnaire which is widely used as an outcome measure. Previous studies supported the multidimensionality of the DHI, but not the original subscale structure. The objectives of this survey were to explore the dimensions of the Dizziness Handicap Inventory - German version, and to investigate the associations of the retained factors with items assessing functional disability and the Hospital Anxiety and Depression Scale (HADS. Secondly we aimed to explore the retained factors according to the International Classification of Functioning, Disability and Health (ICF. Methods Patients were recruited from a tertiary centre for vertigo, dizziness or balance disorders. They filled in two questionnaires: (1 The DHI assesses precipitating physical factors associated with dizziness/unsteadiness and functional/emotional consequences of symptoms. (2 The HADS assesses non-somatic symptoms of anxiety and depression. In addition, patients answered the third question of the University of California Los Angeles-Dizziness Questionnaire which covers the impact of dizziness and unsteadiness on everyday activities. Principal component analysis (PCA was performed to explore the dimensions of the DHI. Associations were estimated by Spearman correlation coefficients. Results One hundred ninety-four patients with dizziness or unsteadiness associated with a vestibular disorder, mean age (standard deviation of 50.6 (13.6 years, participated. Based on eigenvalues greater one respectively the scree plot we analysed diverse factor solutions. The 3-factor solution seems to be reliable, clinically relevant and can partly be explained with the ICF. It explains 49.2% of the variance. Factor 1 comprises the effect of dizziness and unsteadiness on emotion and participation, factor 2 informs about specific activities or effort provoking dizziness and unsteadiness, and factor 3 focuses on self

  4. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle

  5. 41-month follow-up of risk factors correlated with new coronary events in 708 elderly patients.

    Science.gov (United States)

    Aronow, W S; Herzig, A H; Etienne, F; D'Alba, P; Ronquillo, J

    1989-06-01

    A prospective study correlated coronary risk factors with new coronary events in 192 elderly men and 516 elderly women, mean age 82 +/- 8 years. Follow-up was 41 +/- 6 months (range 24-44). Coronary events (myocardial infarction, primary ventricular fibrillation, and sudden cardiac death) occurred in 64 of 192 men (33%) and in 149 of 516 women (29%), P not significant. Using univariate analysis, significant risk factors for coronary events were antecedent coronary artery disease, cigarette smoking, hypertension, diabetes mellitus, serum total cholesterol (TC) greater than or equal to 200 mg/dL and greater than or equal to 250 mg/dL, serum high-density lipoprotein cholesterol (HDL-C) less than 35 mg/dL, and serum TC/HDL-C greater than or equal to 6.5 in men and women, and obesity in women. Using multivariate analysis, significant risk factors for coronary events were age, antecedent coronary artery disease, cigarette smoking, hypertension, diabetes mellitus, and serum TC in men and women and serum HDL-C and serum triglycerides in women. Using univariate analysis, significant risk factors for coronary events in men and women with antecedent coronary artery disease were cigarette smoking, diabetes mellitus, serum TC greater than or equal to 250 mg/dL, and serum TC/HDL-C greater than or equal to 6.5. Using multivariate analysis, significant risk factors for coronary events in men and women with antecedent coronary artery disease were age, cigarette smoking, diabetes mellitus, serum TC, serum HDL-C, and serum triglycerides.(ABSTRACT TRUNCATED AT 250 WORDS)

  6. Applications of temporal kernel canonical correlation analysis in adherence studies.

    Science.gov (United States)

    John, Majnu; Lencz, Todd; Ferbinteanu, Janina; Gallego, Juan A; Robinson, Delbert G

    2015-08-20

    Adherence to medication is often measured as a continuous outcome but analyzed as a dichotomous outcome due to lack of appropriate tools. In this paper, we illustrate the use of the temporal kernel canonical correlation analysis (tkCCA) as a method to analyze adherence measurements and symptom levels on a continuous scale. The tkCCA is a novel method developed for studying the relationship between neural signals and hemodynamic response detected by functional MRI during spontaneous activity. Although the tkCCA is a powerful tool, it has not been utilized outside the application that it was originally developed for. In this paper, we simulate time series of symptoms and adherence levels for patients with a hypothetical brain disorder and show how the tkCCA can be used to understand the relationship between them. We also examine, via simulations, the behavior of the tkCCA under various missing value mechanisms and imputation methods. Finally, we apply the tkCCA to a real data example of psychotic symptoms and adherence levels obtained from a study based on subjects with a first episode of schizophrenia, schizophreniform or schizoaffective disorder. © The Author(s) 2015.

  7. Analysis of Consistency of Printing Blankets using Correlation Technique

    Directory of Open Access Journals (Sweden)

    Lalitha Jayaraman

    2010-01-01

    Full Text Available This paper presents the application of an analytical tool to quantify material consistency of offset printing blankets. Printing blankets are essentially viscoelastic rubber composites of several laminas. High levels of material consistency are expected from rubber blankets for quality print and for quick recovery from smash encountered during the printing process. The present study aims at determining objectively the consistency of printing blankets at three specific torque levels of tension under two distinct stages; 1. under normal printing conditions and 2. on recovery after smash. The experiment devised exhibits a variation in tone reproduction properties of each blanket signifying the levels of inconsistency also in thicknessdirection. Correlation technique was employed on ink density variations obtained from the blanket on paper. Both blankets exhibited good consistency over three torque levels under normal printing conditions. However on smash the recovery of blanket and its consistency was a function of manufacturing and torque levels. This study attempts to provide a new metrics for failure analysis of offset printing blankets. It also underscores the need for optimizing the torque for blankets from different manufacturers.

  8. HRAS mutation analysis in Costello syndrome: genotype and phenotype correlation.

    Science.gov (United States)

    Gripp, Karen W; Lin, Angela E; Stabley, Deborah L; Nicholson, Linda; Scott, Charles I; Doyle, Daniel; Aoki, Yoko; Matsubara, Yoichi; Zackai, Elaine H; Lapunzina, Pablo; Gonzalez-Meneses, Antonio; Holbrook, Jennifer; Agresta, Cynthia A; Gonzalez, Iris L; Sol-Church, Katia

    2006-01-01

    Costello syndrome is a rare condition comprising mental retardation, distinctive facial appearance, cardiovascular abnormalities (typically pulmonic stenosis, hypertrophic cardiomyopathy, and/or atrial tachycardia), tumor predisposition, and skin and musculoskeletal abnormalities. Recently mutations in HRAS were identified in 12 Japanese and Italian patients with clinical information available on 7 of the Japanese patients. To expand the molecular delineation of Costello syndrome, we performed mutation analysis in 34 North American and 6 European (total 40) patients with Costello syndrome, and detected missense mutations in HRAS in 33 (82.5%) patients. All mutations affected either codon 12 or 13 of the protein product, with G12S occurring in 30 (90.9%) patients of the mutation-positive cases. In two patients, we found a mutation resulting in an alanine substitution in position 12 (G12A), and in one patient, we detected a novel mutation (G13C). Five different HRAS mutations have now been reported in Costello syndrome, however genotype-phenotype correlation remains incomplete.

  9. Analysis of Consistency of Printing Blankets using Correlation Technique

    Directory of Open Access Journals (Sweden)

    Balaraman Kumar

    2010-06-01

    Full Text Available This paper presents the application of an analytical tool to quantify material consistency of offset printing blankets. Printing blankets are essentially viscoelastic rubber composites of several laminas. High levels of material consistency are expected from rubber blankets for quality print and for quick recovery from smash encountered during the printing process. The present study aims at determining objectively the consistency of printing blankets at three specific torque levels of tension under two distinct stages; 1. under normal printing conditions and 2. on recovery after smash. The experiment devised exhibits a variation in tone reproduction properties of each blanket signifying the levels of inconsistency also in thickness direction. Correlation technique was employed on ink density variations obtained from the blanket on paper. Both blankets exhibited good consistency over three torque levels under normal printing conditions. However on smash the recovery of blanket and its consistency was a function of manufacturing and torque levels. This study attempts to provide a new metrics for failure analysis of offset printing blankets. It also underscores the need for optimising the torque for blankets from different manufacturers.

  10. Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

    Science.gov (United States)

    Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

    2014-11-01

    Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

  11. Expression of Thyroid Transcription Factor-1 (TTF-1) in Lung Carcinomas and Its Correlations with Apoptosis and Angiogenesis

    Institute of Scientific and Technical Information of China (English)

    Xiaoyan Bai; Hong Shen; Chunhui Zhou; Hao Wang

    2009-01-01

    OBJECTIVE To investigate the correlations between the expression of thyroid transcription factor-1 (TTF-1) and apoptosis and angiogenesis in lung carcinomas.METHODS A 829 microarray of the paraffin tissue chips was constructed, which contained 196 lung carcinomas, 10 normal lung tissues, and 1 muscular tissue. Terminal deoxynucleotidyl transferase mediated nick end labeling (TUNEL) and immunohistochemical SP method were used to detect apoptosis and expression of TTF-1 and CD34 in different types of lung carcinomas. A Leica Q500 MC image analysis system was used to measure and calculate TTF-1 positive unit (PU), apoptotic index (AI) and microvessel density (MVD).RESULTS AI of lung small cell carcinoma and large cell carcinoma were smaller than those of lung adenocarcinoma and squamous cell carcinoma (P = 0.000). AI of lung carcinomas with lymph node metastases was smaller than that of those without (P = 0.039). AI of lung carcinomas in TNM stage I-W was smaller than that in stage Ⅰ (P = 0.008). The PU of the TTF-1 was negatively correlated with AI in small cell lung carcinoma (r = -0.752, P = 0.000). MVD of lung carcinomas without lymph node metastases was smaller than that of those with lymph node metastasis (P= 0.031). MVD of lung carcinomas in TNM stage Ⅰ was smaller than that in stage Ⅰ-Ⅳ (P -- 0.040). The PU of TTF-1 was positively correlated with MVD in lung adenocarcinoma (r = 0.708, P = 0.000).CONCLUSION There is a negative correlation between TTF-1 PU and AI in small cell lung carcinoma. TTF-1 PU and AI may be correlated with each other. There is a positive correlation between TTF-1 PU and MVD in lung adenocarcinoma. TTF-1 may induce the development of lung adenocarcinoma by inducing tumor angiogenesis.

  12. A comparative study of influential factors correlating with early and late hypothyroidism after 131Ⅰtherapy for Graves' disease

    Institute of Scientific and Technical Information of China (English)

    WANG Ren-fei; TAN Jian; ZHANG Gui-zhi; MENG Zhao-wei; ZHENG Wei

    2010-01-01

    Background 131Ⅰ therapy is recognized as the simplest, safest, least expensive, and most effective treatment, and accepted by more and more patients. However its curative effect is influenced by many factors, therefore there are some difficulties for doctors to establish individual treatment strategy. The aims of this study were to determine the incidence of early and late hypothyroidism after 131Ⅰ treatment for Graves' disease (GD) and to compare their correlation, to observe and analyze the influential factors and to understand the predictabilities of them.Methods Five hundred GD patients (144 males, 356 females; age (41.2±12.3) years) received 131Ⅰ treatment for the first time. The therapeutic procedure was carried out as the following: undergoing 131Ⅰ uptake test to obtain maximum of thyroid uptake value and effective half-life (EHL) time; estimating the thyroid's weight by ultrasonography; determination of thyroid hormones and correlative antibodies; pre-therapy physical examination; thyroid imaging; calculating 131Ⅰtherapeutic dosage; per os uptake of the determined 131Ⅰ dosage; follow-up appraisal of curative effect. The observing parameters included age, gender, thyroid weight, GD duration, condition of onset, state of disease, course of treatment, EHL time, maximum of thyroid uptake value, 131Ⅰ dosage and titer of correlative antibodies. We sorted out the data and used both univariate and multivariate analysis to evaluate them statistically.Results The incidence rates of early and late hypothyroidism were 33.2% and 6.6% respectively after 131Ⅰ treatment and approximately 22.2% cases of late hypothyroidism developed from early hypothyroidism. The influential factors of early hypothyroidism included course of GD, the highest thyroid uptake ratio of 131Ⅰ, EHL time and thyroid microsome antibody (TMAb), etc. A multivariate analysis on late hypothyroidism showed that female patients, with recurrence after anti-thyroid drug treatment and

  13. Factors related to academic success among nursing students: a descriptive correlational research study.

    Science.gov (United States)

    Beauvais, Audrey M; Stewart, Julie G; DeNisco, Susan; Beauvais, John E

    2014-06-01

    The current rise in employment is improving forecasts for the future supply of registered nurses; however sizeable shortages are still projected. With the intention of improving academic success in nursing students, related factors need to be better understood. The purpose of the correlational study was to describe the relationship between emotional intelligence, psychological empowerment, resilience, spiritual well-being, and academic success in undergraduate and graduate nursing students. A descriptive correlational design was utilized. The study was set in a private Catholic university. There were 124 participants. There were 59% undergraduate and 41% graduate students. Background data, in addition to the Spreitzer Psychological Empowerment Scale, the Wagnild and Young Resilience Scale, and the Spiritual Well-Being Scale and the Mayer-Salovey-Caruso Emotional Intelligence Test, was collected from students who met study criteria. In a combined sample, academic success was correlated with overall spiritual well-being, empowerment and resilience. Although academic success was not correlated with overall emotional intelligence, it was correlated with the emotional intelligence branch four (managing emotions) score. When undergraduate and graduate students were considered separately, only one correlation was found to be significantly related to academic success in the undergraduate sample, namely, emotional intelligence branch one (perceiving emotions). When examining the data from just graduate level nurses, significant relationships were found between total emotional intelligence with academic success, resilience with academic success, and psychological empowerment with academic success. The significant relationship between psychological empowerment, resilience, spiritual well-being and academic success in this study supports the statements in the literature that these concepts may play an important role in persistence through the challenges of nursing education

  14. Correlations between IMC thickness and three factors in Sn-3Ag-0.5Cu alloy system

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The effects of Ni content, soldering temperature and time on the IMC thickness in Sn-3Ag-0.5Cu and Sn-3Ag-0.5Cu-0.2Co alloys were researched using uniform design method and computer programs. For each alloy, the factors were divided into three levels in the experiment. Two correlative equations are given by regression. They indicate that the effects of three factors on the function are in the mutual and quadratic forms. And the analysis of variance shows the equations are sound and meaningful. Using the equations, it is easy to search, predict and control the IMC thickness. The existence of element Co accelerates the crystallization and growing up of IMC.

  15. Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations

    Science.gov (United States)

    Gligor, M.; Ausloos, M.

    2007-05-01

    The statistical distances between countries, calculated for various moving average time windows, are mapped into the ultrametric subdominant space as in classical Minimal Spanning Tree methods. The Moving Average Minimal Length Path (MAMLP) algorithm allows a decoupling of fluctuations with respect to the mass center of the system from the movement of the mass center itself. A Hamiltonian representation given by a factor graph is used and plays the role of cost function. The present analysis pertains to 11 macroeconomic (ME) indicators, namely the GDP (x1), Final Consumption Expenditure (x2), Gross Capital Formation (x3), Net Exports (x4), Consumer Price Index (y1), Rates of Interest of the Central Banks (y2), Labour Force (z1), Unemployment (z2), GDP/hour worked (z3), GDP/capita (w1) and Gini coefficient (w2). The target group of countries is composed of 15 EU countries, data taken between 1995 and 2004. By two different methods (the Bipartite Factor Graph Analysis and the Correlation Matrix Eigensystem Analysis) it is found that the strongly correlated countries with respect to the macroeconomic indicators fluctuations can be partitioned into stable clusters.

  16. Correlation between Grade in Transitional Cell Carcinoma (TCC and Expression of Epidermal Growth Factor Receptor (EGFR

    Directory of Open Access Journals (Sweden)

    MR Jallali Nadoushan

    2007-08-01

    Full Text Available Background: The present study was undertaken to investigate the correlation of Epidermal Growth Factor Receptor (EGFR expression with grade of Transitional Cell Carcinoma (TCC. Methods: Tumor samples of 75 patients from Mostafa Khomaini Hospital with Transitional Cell Carcinoma of the bladder were analyzed by immunohistochemistry for expression of EGFR. In this context, we assigned the bladder tumors a grade accord¬ing WHO classification. Results analyzed for possible correlation with the expression status of the Epidermal Growth Factor Receptor (EGFR. Results: This cross-sectional study showed that all grades of Transitional Cell Carcinoma expressed EGFR, and 14 cases were LMP (18.9% which 10 cases among them had negative cells according EGFR point of view(71.4% and 4 cases had re¬ported positive (28.6%. Thirty five cases were low grade (46.7% which 18 cases among them had reported negative cells (51.4% and 17 cases had positive cells (48.6%. Twenty six cases were high grade (34.7% that 9 cases among them had reported negative cells (34.6%. Seventeen cases had positive cells (65.4%. Mann-Witney test showed relation between grade and expression of EGFR (P<0.05. Conclusions: This study showed that expression of EGFR is correlated with grade of tumor.

  17. Television Time among Brazilian Adolescents: Correlated Factors are Different between Boys and Girls

    Directory of Open Access Journals (Sweden)

    Diego Augusto Santos Silva

    2014-01-01

    Full Text Available Objective. The aim of this study was to identify the prevalence of excess television time and verify correlated factors in adolescent males and females. Methods. This cross-sectional study included 2,105 adolescents aged from 13 to 18 years from the city of Aracaju, Northeastern Brazil. Television time was self-reported, corresponding to the time spent watching television in a typical week. Several correlates were examined including age, skin color, socioeconomic status, parent education, physical activity level, consumption of fruits and vegetables, smoking status, alcohol use, and sports team participation. Results. The prevalence excess television time (≥2 hours/day in girls and boys was 70.9% and 66.2%, respectively. Girls with low socioeconomic status or inadequate consumption of fruits and vegetables were more likely to have excess television time. Among boys, those >16 years of age or with black skin color were more likely to have excess television time. Conclusions. Excess television time was observed in more than two-thirds of adolescents, being more evident in girls. Correlated factors differed according to sex. Efforts to reduce television time among Brazilian adolescents, and replace with more active pursuits, may yield desirable public health benefits.

  18. Correlation of maternal factors and hemoglobin concentration during pregnancy Shiraz 2006

    Directory of Open Access Journals (Sweden)

    Marzieh Akbarzadeh

    2009-12-01

    Full Text Available Background: Anemia in pregnancy is a serious condition, contributing to maternal mortality, morbidity and fetal morbidity and its prevalence varies between 35-100% in developing countries. This investigation is conducted to survey the correlation of maternal factors and the changes in hemoglobin in pregnant women. Method: In this study, 108 healthy pregnant women with gestational age of 10 to 14 weeks, chosen by cluster random sampling were included. The women were followed in three visits: at the end of the first, second and third trimester. In addition, correlation of Hb concentration with maternal factors including BMI, age parity, hyperemesis, gestational age, pregnancy interval and weight gain was investigated. Results: There was no significant correlation between BMI, parity, pregnancy interval, severe nausea and vomiting and also maternal age with hemoglobin level during pregnancy. Moreover, Multiple regression models showed that adequate maternal weight gain (P<0.009 and high hemoglobin (p<0.0001 in the first trimester were positive predictors and late iron supplementation was negative predictor of hemoglobin in pregnancy (P<0.006. Conclusion: Our data demonstrated that adequate maternal weight gain, high hemoglobin in the first trimester and also late iron supplementation could be as predictors in clinical settings in this query.

  19. Correlation between epidermal growth factor (EGF61A/G)gene polymorphism andschizophrenia susceptibility:A Meta analysis%表皮生长因子(EGF61A/G)基因多态性与精神分裂症易感性关系的Meta分析

    Institute of Scientific and Technical Information of China (English)

    何大莉; 曾照芳

    2012-01-01

    目的:评价表皮生长因子(EGF61A/G)基因多态性与精神分裂症易感性的相关性。方法:全面检索PubMext、webofScience、Googl。Scholardatabase、维普、万方数据库,收集EGF61A/G基因多态性与精神分裂症相关性的文献。用Meta分析评价EGF61A/G各基因型(Avs.G、AAVS.GG、AAVS.GA+GG、AA+GAVS.GG)分布在精神分裂病组与对照组中是否有差异。结果:共纳入6篇文献,共有精神分裂症患者1038例,健康对照1190例。Meta分析未发现EGF61A/G基因多态性与精神分裂症具有相关性(Avs.G:OR=0.99,95%CI:0.871.12;AAvs.GG:OR=1.00,95%CI=0.77-1.29;AAVS.GA+GG:OR=0.89,95%CI=0.71—1.11;AA+AGvs.GG:OR=1.07,95%CI=0.0.89—1.28)。结论:本研究未鉴定出EGF61A/G基因多态性与和精神分裂症的相关性。%Objective: To evaluate the correlation between epidermal growth factor(EGF61A/G) gene polymoqohism and schizophrenia susceptibility. Methods: We searched PubMed, Web of Science, Google Scholar database, Weipu, Wanfang database and collected all the publications about the correlation between EGF61A/G polymorphism and schizophrenia susceptibility. Meta analysis was performed for assessing the difference of EGF61A/G genotype distribution (A vs. G,AA vs. GG, AA vs. GA + GG, AA + GA vs. GG)between two groups (schizophrenia group and control group)o Results:A total of 6 studies involving 1038 schizophrenia patients and 1190 healthy controls were included. The meta analysis showed that, there was no significant correlation between EGF61A/G gene polymorphism and schizophrenia susceptibility(A vs.G:OR= 0.99,95% CI = 0.87 - 1.12;AA vs. GG:OR = 1.00,95% CI = 0.77 - 1.29;AA vs. GA + GG: OR =0.89, 95% CI = 0.71 1.11;AA+AG vs. GG:OR = 1.07, 95% CI = 0.89-1.28}. conclusion:This meta analysis didn't demonstrate the correlation between EGF61A/G gene polymorphism and schizophrenia

  20. Correlation Analysis of Multi-Wavelength Luminosity of Fermi Blazars

    Indian Academy of Sciences (India)

    Xiongwei Bi; Wanquan He; Jiajin Tian; Zhimei Ding; Shuping Ge

    2014-09-01

    We have studied the correlations between luminosities (R, O, X, ) in radio, optical, X-ray and -ray wave bands for Fermi blazars, and found that there are significant correlations between R and , X and and O and for blazars, BL Lacs and FSRQs, but no correlation between and O for BL Lacs. These results suggest that for Fermi blazars, the high energy -ray emission can be related with radio, X-ray and optical emissions.

  1. Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis

    CERN Document Server

    Moon, Kevin R; Delouille, Veronique; De Visscher, Ruben; Watson, Fraser; Hero, Alfred O

    2015-01-01

    Complexity of an active region is related to its flare-productivity. Mount Wilson or McIntosh sunspot classifications measure such complexity but in a categorical way, and may therefore not use all the information present in the observations. Moreover, such categorical schemes hinder a systematic study of an active region's evolution for example. We propose fine-scale quantitative descriptors for an active region's complexity and relate them to the Mount Wilson classification. We analyze the local correlation structure within continuum and magnetogram data, as well as the cross-correlation between continuum and magnetogram data. We compute the intrinsic dimension, partial correlation, and canonical correlation analysis (CCA) of image patches of continuum and magnetogram active region images taken from the SOHO-MDI instrument. We use masks of sunspots derived from continuum as well as larger masks of magnetic active regions derived from the magnetogram to analyze separately the core part of an active region fr...

  2. Alarm reduction with correlation analysis; Larmsanering genom korrelationsanalys

    Energy Technology Data Exchange (ETDEWEB)

    Bergquist, Tord; Ahnlund, Jonas; Johansson, Bjoern; Gaardman, Lennart; Raaberg, Martin [Lund Univ. (Sweden). Dept. of Information Technology

    2004-09-01

    This project's main interest is to improve the overall alarm situation in the control rooms. By doing so, the operators working environment is less overstrained, which simplifies the decision-making. According to a study of the British refinery industry, the operators make wrong decisions in four times out of ten due to badly tuned alarm systems, with heavy expenses as a result. Furthermore, a more efficiently alarm handling is estimated to decrease the production loss with between three and eight percent. This sounds, according to Swedish standards, maybe a bit extreme, but there is no doubt about the benefits of having a well-tuned alarm system. This project can be seen as an extension of 'General Methods for Alarm Reduction' (VARMEFORSK--835), where the process improvements were the result of suggestions tailored for every signal. Here, instead causal dependences in the process are examined. A method for this, specially designed to fit process signals, has been developed. It is called MLPC (Multiple Local Property Correlation) and could be seen as an unprejudiced way of increase the information value in the process. There are a number of ways to make use of the additional process understanding a correlation analysis provides. In the report some are mentioned, foremost aiming to improve the alarm situation for operators. Signals from two heating plants have been analyzed with MLPC. In simulations, with the use of the result from these analyses as a base, a large number of alarms have been successfully suppressed. The results have been studied by personal with process knowledge, and they are very positive to the use of MLPC and they express many benefits by the clarification of process relations. It was established in 'General Methods for Alarm Reduction' that low pass filter are superior to mean value filter and time delay when trying to suppress alarms. As a result, a module for signal processing has been developed. The main purpose is

  3. Factors determining cervical spine sagittal balance in asymptomatic adults: correlation with spinopelvic balance and thoracic inlet alignment.

    Science.gov (United States)

    Lee, Sang-Hun; Son, Eun-Seok; Seo, Eun-Min; Suk, Kyung-Soo; Kim, Ki-Tack

    2015-04-01

    Based on the previous studies, cervical lordosis (CL) is a parameter influenced by thoracic kyphosis (TK); however, the correlations still remain unclear. Few studies have analyzed the correlations between the cervical spine lordosis and global spinopelvic balance. To date, there has been no study focused on the factors determining cervical spine sagittal balance. Seventy-seven asymptomatic volunteers without the history of symptoms related to whole spine. Statistical significance of correlations of radiographic parameters on cervical spine and whole-spine standing lateral radiograph. To analyze the factors determining cervical spine sagittal balance, including global spinopelvic balance and thoracic inlet (TI) alignment in asymptomatic adults. A prospective radiographic study. Cervical and whole-spine standing lateral radiographs were taken to analyze the following parameters: spinopelvic parameters pelvic incidence (PI), sacral slope (SS), lumbar lordosis (LL), and TK; TI parameters thoracic inlet angle (TIA) and T1 slope; and cervical spine parameters C0-C2, C2-C7, and C0-C7 angles and cervical tilting. Statistical analysis was performed using the Pearson correlation coefficients and multiple regression analysis. All the parameters showed a normal distribution. There was a significant sequential linkage between PI and SS (r=0.653), SS and LL (r=0.807), LL and TK (r=-0.516), and TK and C0-C7 angle (r=-0.322). There was a significant relationship between TK and T1 slope (r=0.351) but no significant relationship between TK and TIA. There were significant sequential relationships between TIA and T1 slope (r=0.694), T1 slope and C2-C7 angle (r=-0.624), and C2-C7 and C0-C2 angles (r=-0.547). T1 slope was the only parameter that demonstrated a significant correlation with both SP and TI parameters. A linear regression model showed that T1 slope had a stronger relationship with TIA (r=0.694) than TK (r=0.351). T1 slope was a key factor determining cervical spine

  4. Correlation between detrended fluctuation analysis and the Lempel-Ziv complexity in nonlinear time series analysis

    Science.gov (United States)

    Tang, You-Fu; Liu, Shu-Lin; Jiang, Rui-Hong; Liu, Ying-Hui

    2013-03-01

    We study the correlation between detrended fluctuation analysis (DFA) and the Lempel-Ziv complexity (LZC) in nonlinear time series analysis in this paper. Typical dynamic systems including a logistic map and a Duffing model are investigated. Moreover, the influence of Gaussian random noise on both the DFA and LZC are analyzed. The results show a high correlation between the DFA and LZC, which can quantify the non-stationarity and the nonlinearity of the time series, respectively. With the enhancement of the random component, the exponent a and the normalized complexity index C show increasing trends. In addition, C is found to be more sensitive to the fluctuation in the nonlinear time series than α. Finally, the correlation between the DFA and LZC is applied to the extraction of vibration signals for a reciprocating compressor gas valve, and an effective fault diagnosis result is obtained.

  5. Analysis of Ultra Linguistic Factors in Interpretation

    Institute of Scientific and Technical Information of China (English)

    姚嘉

    2015-01-01

    The quality of interpretation is a dynamic conception, involving a good deal of variables, such as the participants, the situations, working conditions, cultures etc.. Therefore, in interpretation, those static elements, such as traditional grammars and certain linguistic rules can not be counted as the only criteria for the quality of interpretation. That is, there are many other non-language elements—Ultra-linguistic factors that play an important role in interpretation. Ultra-linguistic factors get rid of the bounding of traditional grammar and parole, and reveal the facts in an indirect way. This paper gives a brief analysis of Ultra Lin⁃guistic elements in interpretation in order to achieve better result in interpretation practice.

  6. Connections between Graphical Gaussian Models and Factor Analysis

    Science.gov (United States)

    Salgueiro, M. Fatima; Smith, Peter W. F.; McDonald, John W.

    2010-01-01

    Connections between graphical Gaussian models and classical single-factor models are obtained by parameterizing the single-factor model as a graphical Gaussian model. Models are represented by independence graphs, and associations between each manifest variable and the latent factor are measured by factor partial correlations. Power calculations…

  7. Correlation between colorectal cancer and Helicobacter pylori infection in different countries: A meta-analysis

    Directory of Open Access Journals (Sweden)

    Hong-xia DONG

    2015-04-01

    Full Text Available Objective To explore the relationship between Helicobacter pylori (Hp infection and colorectal cancer in different continents or economic conditions. Methods Published case-control studies dealing with the correlation of colorectal cancer with Hp infection were retrieved from PubMed, EMBASE, High Wire Press, Ovid, Medline and EBSCO. Meta-analysis was performed by using RevMan 5.3 software. We selected the OR and 95% CI as indicators of the analysis according to different continents (Asia, Europe, and America and economic conditions (developed countries and developing countries. Results A total of 23 studies dealing with the correlation of colorectal cancer with Hp infection were included in the present meta-analysis, and there was a total sample of 182,561 patients, including 88,378 cases in Hp positive group and 94,183 cases in Hp negative group. The results of meta-analysis showed the OR was 1.42 (95%CI 1.38-1.46. Geographically, the correlation was low in Asian countries (OR=1.29, 95%CI 1.13-1.48, and was highest in American countries (OR=1.44, 95%CI 1.39-1.48. According to the economic conditions, the correlation was low in developing countries (OR=1.17, 95%CI 1.01-1.37, and was higher in developed countries (OR=1.43, 95%CI 1.39-1.47. Conclusions Hp infection is a risk factor for colorectal cancer. It seems that there is a close relation ship between its incidence and geography, and also economic condition. DOI: 10.11855/j.issn.0577-7402.2015.03.13

  8. 沱江流域内江段土壤有机碳与其他要素的相关性分析%Analysis on Correlation between Soil Organic Carbon and Other Factors in Neijiang Section of Tuojiang River Basin

    Institute of Scientific and Technical Information of China (English)

    仇开莉; 陈文德; 彭培好; 刘应平

    2013-01-01

    通过对沱江流域内江段土壤有机碳与其他要素相关性的分析研究表明:农田土壤中的有机碳与pH值相关性不显著,即pH值对土壤有机碳的多寡、分布及稳定性的影响不明显.土壤有机碳含量与S元素呈极显著相关性(0.869 1),与N元素呈显著相关性(0.800 1),与Se呈较显著相关性(0.649 77),且均为正相关,即S、N、Se含量增加,土壤有机碳含量也增加;与P元素呈不相关关系(0.053 9);与Si()2呈较显著负相关关系(r值为-0.530 7).土壤有机碳含量与Cd,Zn,Pb,Hg元素呈较显著相关性;与有效B、有效Cu、速效K、水解性N、有效S、有效Fe的含量具有较明显的正相关性.%The analysis on correlation between soil organic carbon(SOC) and other factors in Neijiang section of Tuojiang River Basin is conducted.The results show that the differences in SOC of soil with different pH ware not significant,which means that pH doesn't significantly affect the content,distribution and stability of SOC.SOC has a positively conspicuous correlations with S(R2=0.869 1) and N(R2 =0.800 1),and has a positively significant correction with Se(R2 =0.647 7).However,SOC is not correlative with P (R2=0.053 9) and has a negative correction with SiO2(R2 =-0.530 66).As well,SOC has a positively significant correction with Cd,Zn,Pb,Hg,effective B,effective Cu,available K,hydrolytic N,effective S and effective Fe.

  9. Revisiting Interpretation of Canonical Correlation Analysis: A Tutorial and Demonstration of Canonical Commonality Analysis

    Science.gov (United States)

    Nimon, Kim; Henson, Robin K.; Gates, Michael S.

    2010-01-01

    In the face of multicollinearity, researchers face challenges interpreting canonical correlation analysis (CCA) results. Although standardized function and structure coefficients provide insight into the canonical variates produced, they fall short when researchers want to fully report canonical effects. This article revisits the interpretation of…

  10. Correlation of hs-CRP with environmental risk factors of nephropathy in type 2 diabetes

    Directory of Open Access Journals (Sweden)

    Jay Prakash Sah

    2015-06-01

    Full Text Available The objective of the present study was to investigate the association of hs-CRP levels with environmental risk factors of diabetic nephropathy like smoking, drinking alcohol, diet, age of diabetic patient, duration of diabetes, medication of diabetes, and blood pressure medication. A hospital-based quantitative study was conducted at the Department of Clinical Biochemistry of Manipal Teaching Hospital (MTH Pokhara, Nepal, with 89 patients suffering from type 2 diabetes. Blood samples (n=89 from the patients were collected and the serums were separated. On the other hand, data on environmental risk factors of nephropathy were collected by using standard questionnaire. In this study, serum hs-CRP level was not found to be correlated with smoking (p=0.111, alcohol consumption (p=0.722, diet (p=0.496, duration of diabetes (p=0.519, age of diabetic patient (p=0.369, medication of diabetes (p=0.734, and blood pressure medication (p=0.625. Hence, our study concludes that serum hs-CRP value in type 2 diabetic patients is insignificantly correlated with the risk factors especially smoking, drinking alcohol, diet, duration of diabetes, age of diabetic patient, medication of diabetes, and medication of blood pressure.

  11. Tissue factor activated thromboelastography correlates to clinical signs of bleeding in dogs

    DEFF Research Database (Denmark)

    Wiinberg, Bo; Jensen, Asger Lundorff; Rozanski, Elizabeth;

    2009-01-01

    The ability of a laboratory assay to correlate to clinical phenotype is crucial for the accurate diagnosis and monitoring of haemostasis and is therefore challenging with currently used routine haemostasis assays. Thromboelastography (TEG) is increasingly used to evaluate haemostasis in humans...... and may well be of value in the workup of dogs suspected of having a haemostatic disorder. This study was undertaken to evaluate prospectively how tissue factor (TF) activated TEG correlated to clinical signs of bleeding in dogs, compared to a routine coagulation profile. A prospective case-control study...... was performed over a 2 year period from 2004-2006. Eligible dogs were those where the primary clinician requested a coagulation profile to evaluate haemostasis. The dogs were simultaneously evaluated with a TF-activated TEG assay. Twenty-seven dogs, characterised as hypo-coagulable based on the TEG parameter G...

  12. Model correction factor method for system analysis

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager; Johannesen, Johannes M.

    2000-01-01

    The Model Correction Factor Method is an intelligent response surface method based on simplifiedmodeling. MCFM is aimed for reliability analysis in case of a limit state defined by an elaborate model. Herein it isdemonstrated that the method is applicable for elaborate limit state surfaces on which...... severallocally most central points exist without there being a simple geometric definition of the corresponding failuremodes such as is the case for collapse mechanisms in rigid plastic hinge models for frame structures. Taking as simplifiedidealized model a model of similarity with the elaborate model...... surface than existing in the idealized model....

  13. Phonological performance measured by speech severity indices compared with correlated factors

    Directory of Open Access Journals (Sweden)

    Haydée Fiszbein Wertzner

    Full Text Available CONTEXT AND OBJECTIVE: Some factors seem to influence speech impairment among phonologically disordered children. The aim was to compare severity indices with some correlated factors. DESIGN AND SETTING: Observational, analytical and cross-sectional study conducted within the Language-Speech-Hearing Sciences Course, Universidade de São Paulo. METHOD: Fifty phonologically disordered children with ages ranging from 4 to 11 years took part. The indices were calculated from phonology tests and were correlated with anamnesis and audiological data. Student’s t test and Spearman’s correlation were used to compare percentages of consonants correct (PCC and process density index (PDI for children with and without otitis, upper respiratory histories and audiological abnormalities, with regard to whether or not they were comprehended during assessment, their ages when they started to speak and their ages at the assessment. RESULTS: The higher the age at the assessment was, the higher the PCC (imitation: 0.468; naming: 0.431; Spearman’s correlation and the lower the PDI (imitation: 0.459; naming: 0.431; the later the child started to speak, the lower the PCC (imitation p = 0.064; naming p = 0.050 and the higher the PDI (imitation p = 0.067; naming p = 0.042. There were differences between groups with and without upper respiratory history (PCC: imitation p = 0.016, naming p = 0.005; PDI: imitation p = 0.014, naming p = 0.008. There was no difference between the groups regarding otitis, comprehension during the assessment and audiological data. CONCLUSIONS: Children with upper respiratory histories who began to speak later presented more severe speech impairment indices.

  14. Validation of the Adolescent Concerns Measure (ACM): Evidence from Exploratory and Confirmatory Factor Analysis

    Science.gov (United States)

    Ang, Rebecca P.; Chong, Wan Har; Huan, Vivien S.; Yeo, Lay See

    2007-01-01

    This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer…

  15. Common Factor Analysis Versus Principal Component Analysis: Choice for Symptom Cluster Research

    Directory of Open Access Journals (Sweden)

    Hee-Ju Kim, PhD, RN

    2008-03-01

    Conclusion: If the study purpose is to explain correlations among variables and to examine the structure of the data (this is usual for most cases in symptom cluster research, CFA provides a more accurate result. If the purpose of a study is to summarize data with a smaller number of variables, PCA is the choice. PCA can also be used as an initial step in CFA because it provides information regarding the maximum number and nature of factors. In using factor analysis for symptom cluster research, several issues need to be considered, including subjectivity of solution, sample size, symptom selection, and level of measure.

  16. Scalable group level probabilistic sparse factor analysis

    DEFF Research Database (Denmark)

    Hinrich, Jesper Løve; Nielsen, Søren Føns Vind; Riis, Nicolai Andre Brogaard

    2017-01-01

    Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a scalable group level probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component...... pruning using automatic relevance determination (ARD) and subject specific heteroscedastic spatial noise modeling. For task-based and resting state fMRI, we show that the sparsity constraint gives rise to components similar to those obtained by group independent component analysis. The noise modeling...... shows that noise is reduced in areas typically associated with activation by the experimental design. The psFA model identifies sparse components and the probabilistic setting provides a natural way to handle parameter uncertainties. The variational Bayesian framework easily extends to more complex...

  17. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this

  18. Factor analysis and multiple regression between topography and precipitation on Jeju Island, Korea

    Science.gov (United States)

    Um, Myoung-Jin; Yun, Hyeseon; Jeong, Chang-Sam; Heo, Jun-Haeng

    2011-11-01

    SummaryIn this study, new factors that influence precipitation were extracted from geographic variables using factor analysis, which allow for an accurate estimation of orographic precipitation. Correlation analysis was also used to examine the relationship between nine topographic variables from digital elevation models (DEMs) and the precipitation in Jeju Island. In addition, a spatial analysis was performed in order to verify the validity of the regression model. From the results of the correlation analysis, it was found that all of the topographic variables had a positive correlation with the precipitation. The relations between the variables also changed in accordance with a change in the precipitation duration. However, upon examining the correlation matrix, no significant relationship between the latitude and the aspect was found. According to the factor analysis, eight topographic variables (latitude being the exception) were found to have a direct influence on the precipitation. Three factors were then extracted from the eight topographic variables. By directly comparing the multiple regression model with the factors (model 1) to the multiple regression model with the topographic variables (model 3), it was found that model 1 did not violate the limits of statistical significance and multicollinearity. As such, model 1 was considered to be appropriate for estimating the precipitation when taking into account the topography. In the study of model 1, the multiple regression model using factor analysis was found to be the best method for estimating the orographic precipitation on Jeju Island.

  19. Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson’s correlation coefficient and detrended cross-correlation coefficient

    Science.gov (United States)

    Wang, Gang-Jin; Xie, Chi; Chen, Shou; Yang, Jiao-Jiao; Yang, Ming-Yan

    2013-09-01

    In this study, we first build two empirical cross-correlation matrices in the US stock market by two different methods, namely the Pearson’s correlation coefficient and the detrended cross-correlation coefficient (DCCA coefficient). Then, combining the two matrices with the method of random matrix theory (RMT), we mainly investigate the statistical properties of cross-correlations in the US stock market. We choose the daily closing prices of 462 constituent stocks of S&P 500 index as the research objects and select the sample data from January 3, 2005 to August 31, 2012. In the empirical analysis, we examine the statistical properties of cross-correlation coefficients, the distribution of eigenvalues, the distribution of eigenvector components, and the inverse participation ratio. From the two methods, we find some new results of the cross-correlations in the US stock market in our study, which are different from the conclusions reached by previous studies. The empirical cross-correlation matrices constructed by the DCCA coefficient show several interesting properties at different time scales in the US stock market, which are useful to the risk management and optimal portfolio selection, especially to the diversity of the asset portfolio. It will be an interesting and meaningful work to find the theoretical eigenvalue distribution of a completely random matrix R for the DCCA coefficient because it does not obey the Marčenko-Pastur distribution.

  20. Circulating levels of brain-derived neurotrophic factor: correlation with mood, cognition and motor function.

    Science.gov (United States)

    Teixeira, Antonio Lucio; Barbosa, Izabela Guimarães; Diniz, Breno Satler; Kummer, Arthur

    2010-12-01

    Brain-derived neurotrophic factor (BDNF) is the most widely distributed neurotrophin in the CNS, where it plays several pivotal roles in synaptic plasticity and neuronal survival. As a consequence, BDNF has become a key target in the physiopathology of several neurological and psychiatric diseases. Recent studies have consistently reported altered levels of BDNF in the circulation (i.e., serum or plasma) of patients with major depression, bipolar disorder, Alzheimer's disease, Huntington's disease and Parkinson's disease. Correlations between serum BDNF levels and affective, cognitive and motor symptoms have also been described. BDNF appears to be an unspecific biomarker of neuropsychiatric disorders characterized by neurodegenerative changes.

  1. Expression of connective tissue growth factor in male breast cancer: clinicopathologic correlations and prognostic value.

    Directory of Open Access Journals (Sweden)

    Miangela M Lacle

    Full Text Available Connective tissue growth factor (CTGF/CCN2 is a member of the CCN family of secreted proteins that are believed to play an important role in the development of neoplasia. In particular, CTGF has been reported to play an important role in mammary tumorigenesis and to have prognostic value in female breast cancer (FBC. The aim of the present study was to investigate clinicopathologic correlations and prognostic value of CTGF in male breast cancer (MBC and to compare these findings with FBC. For this, we studied CTGF protein expression by immunohistochemistry in 109 MBC cases and 75 FBC cases. In MBC, stromal CTGF expression was seen in the majority of the cases 78% (85/109 with high expression in 31/109 cases (28.4%, but expression in tumor cells was only seen in 9.2% (10/109 of cases. High stromal CTGF expression correlated with high grade and high proliferation index (>15% assessed by MIB-1 immunohistochemical staining. CTGF expression in tumor epithelial cells did not correlate with any of the clinicopathologic features. In FBC, stromal CTGF expression positively correlated with mitotic count and tumor CTGF expression was associated with triple negative status of the tumor (p = 0.002. Neither stromal nor tumor epithelial cell CTGF expression had prognostic value in MBC and FBC. In conclusion, stromal CTGF expression was seen in a high percentage of MBC and was correlated with high grade and high proliferation index. In view of the important role of the microenvironment in cancer progression, this might suggest that stromal CTGF could be an interesting target for novel therapies and molecular imaging. However, the lack of association with prognosis warrants caution. The potential role of CTGF as a therapeutic target for triple negative FBC deserves to be further studied.

  2. Stand Factors and Risk Analysis of Harm Extent of Gypsy Moths

    Institute of Scientific and Technical Information of China (English)

    Shi Juan; Yan Guozeng; Guan Ling; Li Zhenyu; Feng Jihua

    2006-01-01

    Twelve stand factors affecting the harm extent of Gypsy moths (Lymantria dispar) were studied.Through stepwise regression analyses,three key factors were selected,such as crown density,soil infertility extent,and forestland area.The results showed that there exists a positive correlation between soil infertility extent and the harm extent of Gypsy moths and a significant negative correlation between the other two key factors and the harm extent of this insect.Using the three key factors,a multivariate linear regression model was established by which the authors made a risk analysis of the harm extent of Gypsy moths.

  3. Analysis of correlation coefficient filtering in elasticity imaging.

    Science.gov (United States)

    Huang, Sheng-Wen; Rubin, Jonathan M; Xie, Hua; Witte, Russell S; Jia, Congxian; Olafsson, Ragnar; O'Donnell, Matthew

    2008-11-01

    Correlation-based speckle tracking methods are commonly used in elasticity imaging to estimate displacements. In the presence of local strain, a larger window size results in larger displacement error. To reduce tracking error, we proposed a short correlation window followed by a correlation coefficient filter. Although simulation and experimental results demonstrated the efficacy of the method, it was not clear why correlation coefficient filtering reduces tracking error since tracking error increases if normalization before filtering is not applied. In this paper, we analyzed tracking errors by estimating phase variances of the cross-correlation function and the correlation coefficient at the true time lag based on statistical properties of these functions' real and imaginary parts. The role of normalization is clarified by identifying the effect of the cross-correlation function's amplitude fluctuation on the function's imaginary part. Furthermore, we present analytic forms for predicting axial displacement error as a function of strain, system parameters (signal-to-noise ratio, center frequency, and signal and noise bandwidths), and tracking parameters (window and filter sizes) for cases with and without normalization before filtering. Simulation results correspond to theory well for both noise-free cases and general cases with an empirical correction term included for strains up to 4%.

  4. Random matrix theory analysis of cross correlations in financial markets.

    Science.gov (United States)

    Utsugi, Akihiko; Ino, Kazusumi; Oshikawa, Masaki

    2004-08-01

    We confirm universal behaviors such as eigenvalue distribution and spacings predicted by random matrix theory (RMT) for the cross correlation matrix of the daily stock prices of Tokyo Stock Exchange from 1993 to 2001, which have been reported for New York Stock Exchange in previous studies. It is shown that the random part of the eigenvalue distribution of the cross correlation matrix is stable even when deterministic correlations are present. Some deviations in the small eigenvalue statistics outside the bounds of the universality class of RMT are not completely explained with the deterministic correlations as proposed in previous studies. We study the effect of randomness on deterministic correlations and find that randomness causes a repulsion between deterministic eigenvalues and the random eigenvalues. This is interpreted as a reminiscent of "level repulsion" in RMT and explains some deviations from the previous studies observed in the market data. We also study correlated groups of issues in these markets and propose a refined method to identify correlated groups based on RMT. Some characteristic differences between properties of Tokyo Stock Exchange and New York Stock Exchange are found.

  5. Study on soil water characteristics of tobacco fields based on canonical correlation analysis

    Directory of Open Access Journals (Sweden)

    Xiao-hou SHAO

    2009-06-01

    Full Text Available In order to identify the principal factors influencing soil water characteristics (SWC and evaluate SWC effectively, the multivariate-statistical canonical correlation analysis (CCA method was used to study and analyze the correlation between SWC and soil physical and chemical properties. Twenty-two soil samples were taken from 11 main tobacco-growing areas in Guizhou Province in China and the soil water characteristic curves (SWCC and basic physical and chemical properties of the soil samples were determined. The results show that: (1 The soil bulk density, soil total porosity and soil capillary porosity have significant effects on SWC of tobacco fiels. Bulk density and total porosity are positively correlated with soil water retention characteristics (SWRC, and soil capillary porosity is positively correlated with soil water supply characteristics (SWSC. (2 Soil samples from different soil layers at the same soil sampling point show similarity or consistency in SWC. Inadequate soil water supply capability and imbalance between SWRC and SWSC are problems of tobacco soil. (3 The SWC of loamy clay are generally superior to those of silty clay loam.

  6. Study on soil water characteristics of tobacco fields based on canonical correlation analysis

    Institute of Scientific and Technical Information of China (English)

    Xiao-hou SHAO; Yu WANG; Li-dong BI; You-bo YUAN; Xian-kun SU; Jian-guo MO

    2009-01-01

    In order to identify the principal factors influencing soil water characteristics (SWC) and evaluate SWC effectively, the multivariate-statistical canonical correlation analysis (CCA) method was used to study and analyze the correlation between SWC and soil physical and chemical properties. Twenty-two soil samples were taken from 11 main tobacco-growing areas in Guizhou Province in China and the soil water characteristic curves (SWCC) and basic physical and chemical properties of the soil samples were determined. The results show that: (1) The soil bulk density, soil total porosity and soil capillary porosity have significant effects on SWC of tobacco fiels. Bulk density and total porosity are positively correlated with soil water retention characteristics (SWRC), and soil capillary porosity is positively correlated with soil water supply characteristics (SWSC). (2) Soil samples from different soil layers at the same soil sampling point show similarity or consistency in SWC. Inadequate soil water supply capability and imbalance between SWRC and SWSC are problems of tobacco soil. (3) The SWC of loamy clay are generally superior to those of silty clay loam.

  7. Motivational Basis of Personality Traits: A Meta-Analysis of Value-Personality Correlations.

    Science.gov (United States)

    Fischer, Ronald; Boer, Diana

    2015-10-01

    We investigated the relationships between personality traits and basic value dimensions. Furthermore, we developed novel country-level hypotheses predicting that contextual threat moderates value-personality trait relationships. We conducted a three-level v-known meta-analysis of correlations between Big Five traits and Schwartz's (1992) 10 values involving 9,935 participants from 14 countries. Variations in contextual threat (measured as resource threat, ecological threat, and restrictive social institutions) were used as country-level moderator variables. We found systematic relationships between Big Five traits and human values that varied across contexts. Overall, correlations between Openness traits and the Conservation value dimension and Agreeableness traits and the Transcendence value dimension were strongest across all samples. Correlations between values and all personality traits (except Extraversion) were weaker in contexts with greater financial, ecological, and social threats. In contrast, stronger personality-value links are typically found in contexts with low financial and ecological threats and more democratic institutions and permissive social context. These effects explained on average more than 10% of the variability in value-personality correlations. Our results provide strong support for systematic linkages between personality and broad value dimensions, but they also point out that these relations are shaped by contextual factors.

  8. Correlation between quality of Pyrola decorata and its ecological factors based on hierarchy-vector analysis%基于层次-向量法分析的普通鹿蹄草品质与生态因子的相关性

    Institute of Scientific and Technical Information of China (English)

    吕振江; 王冬梅; 李登武

    2012-01-01

    Aims Plant secondary metabolites have played a significant role in drug discovery and development. Their production and accumulation are affected by environmental factors. Our objective was to determine the dominant ecological factors influencing functional components content of Pyrola decorata, the relationships among ecological factors, the contents of functional components and antioxidant activity. Method The HPLC method was used to determine the contents of tannin, quercetin and hyperoside. Total fla-voniods content was evaluated by NaNO2-Al(NO3)3 spectrophotometric determination. The antioxidant activity was measured by DPPH radical assay in vitro. The hierarchy-vector analysis was applied to determine relationships between the quality of P. decorata and ecological factors. Important findings The contents of functional components as well as the antioxidant activity in different regions were significantly different. Tannin, quercetin and hyperoside as the key factors affecting the antioxidant activity showed negative correlation with the antioxidant ability; their correlation coefficients were -0.829, -0.378 and -0.749, respectively. There was a positive correlation between DPPHicso value and th