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Sample records for intervention predict final

  1. ST changes before and during primary percutaneous coronary intervention predict final infarct size in patients with ST elevation myocardial infarction

    DEFF Research Database (Denmark)

    Terkelsen, Christian Juhl; Kaltoft, Anne Kjer; Nørgaard, Bjarne Linde

    2008-01-01

    : The purpose of the study was to evaluate whether preprocedural and periprocedural ST changes predict final infarct size (IS) in STEMI patients treated with primary percutaneous coronary intervention (primary PCI). METHODS: Twelve-lead electrocardiograms (ECGs) were acquired in the prehospital phase...... and on admission in 200 STEMI patients transferred for primary PCI. Continuous ST monitoring was performed during and 90 minutes after primary PCI. The exact timing of interventional procedures and the resulting thrombolysis in myocardial infarction (TIMI) flow were registered. A 1-month single-photon emission...... and periprocedural ECG findings and routine angiography findings, spontSTR was associated with smaller IS (B = -8.6%; P

  2. Final Technical Report: Increasing Prediction Accuracy.

    Energy Technology Data Exchange (ETDEWEB)

    King, Bruce Hardison [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Hansen, Clifford [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Stein, Joshua [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-12-01

    PV performance models are used to quantify the value of PV plants in a given location. They combine the performance characteristics of the system, the measured or predicted irradiance and weather at a site, and the system configuration and design into a prediction of the amount of energy that will be produced by a PV system. These predictions must be as accurate as possible in order for finance charges to be minimized. Higher accuracy equals lower project risk. The Increasing Prediction Accuracy project at Sandia focuses on quantifying and reducing uncertainties in PV system performance models.

  3. The ATI score (age-thrombus burden-index of microcirculatory resistance) determined during primary percutaneous coronary intervention predicts final infarct size in patients with ST-elevation myocardial infarction: a cardiac magnetic resonance validation study.

    Science.gov (United States)

    De Maria, Giovanni Luigi; Alkhalil, Mohammad; Wolfrum, Mathias; Fahrni, Gregor; Borlotti, Alessandra; Gaughran, Lisa; Dawkins, Sam; Langrish, Jeremy P; Lucking, Andrew J; Choudhury, Robin P; Porto, Italo; Crea, Filippo; Dall'Armellina, Erica; Channon, Keith M; Kharbanda, Rajesh K; Banning, Adrian P

    2017-10-20

    The age-thrombus burden-index of microcirculatory resistance (ATI) score is a diagnostic tool able to predict suboptimal myocardial reperfusion before stenting, in patients with ST-elevation myocardial infarction (STEMI). We aimed to validate the ATI score against cardiac magnetic resonance imaging (cMRI). The ATI score was calculated prospectively in 80 STEMI patients. cMRI was performed within 48 hours in all patients and in 50 patients at six-month follow-up to assess the extent of infarct size (IS%) and microvascular obstruction (MVO%). The ATI score was calculated using age (>50=1 point), pre-stenting index of microcirculatory resistance (IMR) (>40 and <100=1 point; ≥100=2 points) and angiographic thrombus score (4=1 point; 5=3 points). ATI score was closely related to final IS% (ATI.

  4. Final report on reliability and lifetime prediction.

    Energy Technology Data Exchange (ETDEWEB)

    Gillen, Kenneth T; Wise, Jonathan; Jones, Gary D.; Causa, Al G.; Terrill, Edward R.; Borowczak, Marc

    2012-12-01

    This document highlights the important results obtained from the subtask of the Goodyear CRADA devoted to better understanding reliability of tires and to developing better lifetime prediction methods. The overall objective was to establish the chemical and physical basis for the degradation of tires using standard as well as unique models and experimental techniques. Of particular interest was the potential application of our unique modulus profiling apparatus for assessing tire properties and for following tire degradation. During the course of this complex investigation, extensive relevant information was generated, including experimental results, data analyses and development of models and instruments. Detailed descriptions of the findings are included in this report.

  5. Prediction of crime and early interventions

    DEFF Research Database (Denmark)

    Christoffersen, Mogens

    This paper presents a prospective longitudinal study that attempts to predict juvenile delinquency measured by first contact with the police (arrest, pre-trial detention or charges of crimes) taking a complete cohort of all children born in Denmark in 1984 (N=54,458). The children are followed from......,591 person-years available. More than twenty risk factors were significantly predicting first-time contact with the police. Predictions were substantially more accurate than chance. Results also showed that the proportion of ‘false-positives’ were about 77 % of estimated high-risk subjects when observing...... birth to early adulthood in 2006. The predictors represent the major crime reduction paradigms, such as family circumstance and individual skills. A discrete-time Cox model is used to allow for changing covariates over time. The population had 6,075 first time contacts with the police over the 300...

  6. Predicting responsiveness to intervention in dyslexia using dynamic assessment

    NARCIS (Netherlands)

    Aravena, S.; Tijms, J.; Snellings, P.; van der Molen, M.W.

    In the current study we examined the value of a dynamic test for predicting responsiveness to reading intervention for children diagnosedwith dyslexia. The test consisted of a 20-minute training aimed at learning eight basic letter–speech sound correspondences within an artificial orthography,

  7. Predicting Individual Affect of Health Interventions to Reduce HPV Prevalence

    Energy Technology Data Exchange (ETDEWEB)

    Corley, Courtney D.; Mihalcea, Rada; Mikler, Armin R.; Sanfilippo, Antonio P.

    2011-04-01

    Recently, human papilloma virus has been implicated to cause several throat and oral cancers and hpv is established to cause most cervical cancers. A human papilloma virus vaccine has been proven successful to reduce infection incidence in FDA clinical trials and it is currently available in the United States. Current intervention policy targets adolescent females for vaccination; however, the expansion of suggested guidelines may extend to other age groups and males as well. This research takes a first step towards automatically predicting personal beliefs, regarding health intervention, on the spread of disease. Using linguistic or statistical approaches, sentiment analysis determines a texts affective content. Self-reported HPV vaccination beliefs published in web and social media are analyzed for affect polarity and leveraged as knowledge inputs to epidemic models. With this in mind, we have developed a discrete-time model to facilitate predicting impact on the reduction of HPV prevalence due to arbitrary age and gender targeted vaccination schemes.

  8. Predicting the need for surgical intervention in pediatric orbital cellulitis.

    Science.gov (United States)

    Smith, Jesse M; Bratton, Emily M; DeWitt, Peter; Davies, Brett W; Hink, Eric M; Durairaj, Vikram D

    2014-08-01

    To investigate the predictive value of the complete ophthalmic examination at first presentation in foreseeing the need for surgery in patients with pediatric orbital cellulitis. Retrospective observational case series. We reviewed 136 cases of radiographically confirmed orbital cellulitis between 2004 and 2012 at Children's Hospital Colorado. The presenting ophthalmic examinations, imaging results, medical and surgical interventions, and clinical complications were recorded. The main outcome measures were ophthalmic examinations on presentation, medical or surgical interventions, and complications. The median age was 6.5 years. Of the patients, 56 (41%) underwent surgical intervention, and 80 patients (59%) were managed medically. Patients requiring surgery had higher rates of extraocular motility (EOM) restriction (78.6% vs 38.8% Porbital cellulitis, the likelihood of surgical intervention can be estimated accurately based on the ophthalmic examination on initial presentation to the hospital. Risk factors for surgery include age older than 9 years, proptosis, EOM restriction, and elevated IOP. These factors may be used to identify patients at high risk for failure of medical management early in the clinical course. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Patterns, incidence and predictive factors for pain after interventional radiology

    International Nuclear Information System (INIS)

    England, A.; Tam, C.L.; Thacker, D.E.; Walker, A.L.; Parkinson, A.S.; DeMello, W.; Bradley, A.J.; Tuck, J.S.; Laasch, H.-U.; Butterfield, J.S.; Ashleigh, R.J.; England, R.E.; Martin, D.F.

    2005-01-01

    AIM: To evaluate prospectively the pattern, severity and predictive factors of pain after interventional radiological procedures. MATERIALS AND METHODS: All patients undergoing non-arterial radiological interventional procedures were assessed using a visual-analogue scale (VAS) for pain before and at regular intervals for 24 h after their procedure. RESULTS: One hundred and fifty patients (87 men, mean age 62 years, range 18-92 years) were entered into the study. Significant increases in VAS score occurred 8 h after percutaneous biliary procedures (+47.7 mm, SD 14.9 mm; p=0.001), 6 h after central venous access and gastrostomy insertion (+23.7 mm, SD 19.5 mm; p=0.001 and +28.4 mm, SD 9.7 mm; p=0.007, respectively) and 4 h after oesophageal stenting (+27.8 mm, SD 20.2 mm, p=0.001). Non-significant increases in VAS pain score were observed after duodenal and colonic stenting (duodenal: +5.13 mm, SD 7.47 mm; p=0.055, colonic: +23.3 mm, SD 13.10 mm, p=0.250) at a mean of 5 h (range 4-6 h). Patients reported a significant reduction in pain score for nephrostomy insertion (-28.4 mm, SD 7.11 mm, p=0.001). Post-procedural analgesia was required in 99 patients (69.2%), 40 (28.0%) requiring opiates. Maximum post-procedural VAS pain score was significantly higher in patients who had no pre-procedural analgesia (p=0.003). CONCLUSION: Post-procedural pain is common and the pattern and severity of pain between procedures is variable. Pain control after interventional procedures is often inadequate, and improvements in pain management are required

  10. Predicting weak lensing statistics from halo mass reconstructions - Final Paper

    Energy Technology Data Exchange (ETDEWEB)

    Everett, Spencer [SLAC National Accelerator Lab., Menlo Park, CA (United States)

    2015-08-20

    As dark matter does not absorb or emit light, its distribution in the universe must be inferred through indirect effects such as the gravitational lensing of distant galaxies. While most sources are only weakly lensed, the systematic alignment of background galaxies around a foreground lens can constrain the mass of the lens which is largely in the form of dark matter. In this paper, I have implemented a framework to reconstruct all of the mass along lines of sight using a best-case dark matter halo model in which the halo mass is known. This framework is then used to make predictions of the weak lensing of 3,240 generated source galaxies through a 324 arcmin² field of the Millennium Simulation. The lensed source ellipticities are characterized by the ellipticity-ellipticity and galaxy-mass correlation functions and compared to the same statistic for the intrinsic and ray-traced ellipticities. In the ellipticity-ellipticity correlation function, I and that the framework systematically under predicts the shear power by an average factor of 2.2 and fails to capture correlation from dark matter structure at scales larger than 1 arcminute. The model predicted galaxy-mass correlation function is in agreement with the ray-traced statistic from scales 0.2 to 0.7 arcminutes, but systematically underpredicts shear power at scales larger than 0.7 arcminutes by an average factor of 1.2. Optimization of the framework code has reduced the mean CPU time per lensing prediction by 70% to 24 ± 5 ms. Physical and computational shortcomings of the framework are discussed, as well as potential improvements for upcoming work.

  11. A survey of interventional radiology awareness among final-year medical students in a European country.

    LENUS (Irish Health Repository)

    Leong, Sum

    2009-07-01

    Interventional radiology (IR) is a rapidly expanding specialty that is facing the challenges of turf wars and personnel shortages. Appropriate exposure of medical students to this field can be vital to recruitment of potential future trainees or referring physicians. The aim of this study was to determine the knowledge and views of final-year medical students in a single EU country regarding various aspects of IR. An electronic survey was sent via e-mail to all final-year medical students in a European country. The students were given a month to respond to the questionnaire. A total of 234 students of 675 (34.5%) replied to the survey. Of the respondents, 35% had previously completed an attachment to the radiology department. The majority of students (63%) thought their knowledge in radiology in general was poor. The percentage of students who correctly identified procedures performed by interventional radiologists was 69% for Hickman line insertion, 79% for fibroid embolization, and 67.5% for lower limb angioplasty. Sixty percent, 30%, and 47% thought that interventional radiologists perform cardiac angioplasties, perform arterial bypasses, and create AV fistulas, respectively. Forty-nine percent felt that interventional radiologists are surgically trained. Eighty-three percent of students were first made aware of angioplasty by a cardiologist. Thirty-one percent thought that interventional radiologists do ward rounds, 24% thought that interventional radiologists have admitting rights, and 26% felt that interventional radiologists run an outpatient practice. A significant number of students (76%) thought that the job prospects in IR are good or excellent but only 40.5% were willing to consider a career in IR. In conclusion, this study indicates that IR remains a nascent but attractive specialty to the majority of medical students. Further development of the existing informal undergraduate curriculum to address shortcomings will ensure that IR continues to attract

  12. A Simulation-Based Model for Final Price Prediction in Online Auctions

    OpenAIRE

    Shihyu Chou; Chin-Shien Lin; Chi-hong Chen; Tai-Ru Ho; Yu-Chen Hsieh

    2007-01-01

    Online auctions, a profitable, exciting, and dynamic part of e-commerce, have enjoyed increasing public interest. However, there is still a paucity of literature on final price prediction for online auctions. Although Markov process models provide a mathematical approach to predicting online auction prices, estimating parameters of a Markov process model in practice is a challenging task. In this paper we propose a simulation-based model as an alternative approach to predicting the final pric...

  13. Clinical Prediction Rules for Physical Therapy Interventions: A Systematic Review

    Science.gov (United States)

    Beneciuk, Jason M; Bishop, Mark D; George, Steven Z

    2009-01-01

    Background and Purpose: Clinical prediction rules (CPRs) involving physical therapy interventions have been published recently. The quality of the studies used to develop the CPRs was not previously considered, a fact that has potential implications for clinical applications and future research. The purpose of this systematic review was to determine the quality of published CPRs developed for physical therapy interventions. Methods: Relevant databases were searched up to June 2008. Studies were included in this review if the explicit purpose was to develop a CPR for conditions commonly treated by physical therapists. Validated CPRs were excluded from this review. Study quality was independently determined by 3 reviewers using standard 18-item criteria for assessing the methodological quality of prognostic studies. Percentage of agreement was calculated for each criterion, and the intraclass correlation coefficient (ICC) was determined for overall quality scores. Results: Ten studies met the inclusion criteria and were included in this review. Percentage of agreement for individual criteria ranged from 90% to 100%, and the ICC for the overall quality score was .73 (95% confidence interval=.27–.92). Criteria commonly not met were adequate description of inclusion or exclusion criteria, inclusion of an inception cohort, adequate follow-up, masked assessments, sufficient sample sizes, and assessments of potential psychosocial factors. Quality scores for individual studies ranged from 48.2% to 74.0%. Discussion and Conclusion: Validation studies are rarely reported in the literature; therefore, CPRs derived from high-quality studies may have the best potential for use in clinical settings. Investigators planning future studies of physical therapy CPRs should consider including inception cohorts, using longer follow-up times, performing masked assessments, recruiting larger sample sizes, and incorporating psychological and psychosocial assessments. PMID:19095806

  14. Reactive transport predictions for an Olkiluoto. Final repository tunnel unit

    International Nuclear Information System (INIS)

    Luukkonen, A.; Nordman, H.

    2007-09-01

    The presented hydrogeochemical reactive transport calculations concentrate to a defined unit piece (unit cell) of the planned Olkiluoto repository that is under design for spent nuclear fuel. The material properties assigned to the tunnel unit are based on literature as far as possible. Calculations make up geochemical future scenarios on the repository evolution. Most recent predictions on the potential future climate at Olkiluoto are utilised together with estimates how future hydraulic conditions affect the repository. Two climate scenarios are considered in detail. The Weichselian-R scenario is based on the repetition of the last glacial cycle, while the Emissions-M scenario attempts to predict the future groundwater conditions at Olkiluoto in the situation where the atmospheric greenhouse gasses delay the next glacial cycle at least for 100,000 years. The groundwater compositions, considered active at the repository depth in future, are judged in this study. Several geochemical processes are considered active at the repository depth. Calculations concentrate on the changes occurring with time within the tunnel unit. All simulations are done in geochemically reducing conditions. It turns out that sulphur cycling in these conditions is in central role considering the safety assessment studies of Olkiluoto repository. Furthermore, groundwater salinity and cation occupancy within the exchange sites of montmorillonite contributes to sealing properties of the engineered barrier system. Calculations attempt to estimate effects of possible future scenarios for the Olkiluoto repository. The results indicate that the buffer capacities assigned to the tunnel unit are large enough, at least to next 100,000 years, to maintain dissolved sulphide contents low in the groundwater infiltrating through the tunnel engineered barrier system. Geochemical reactions raise the bicarbonate levels within the groundwater. This is a useful buffer if low pH conditions emerge in the

  15. Quality prediction and mistake proofing: An LDRD final report

    Energy Technology Data Exchange (ETDEWEB)

    McDonald, M.J.

    1998-03-01

    Sandia National Laboratories is responsible for assuring that the US nuclear deterrent remains credible and that the one in a billion disaster of unintended nuclear detonation never occurs. Letting mistake-generated defects into the stockpile would undermine its mission. The current era of shrinking stockpiles is shrinking Sandia`s opportunities to discover and correct mistakes and fine tune processes over long production runs. In response, Sandia has chosen to develop and use a science-based, life cycle systems engineering practices that, in part, require understanding the design to manufacturing issues in enough detail to tune processes and eliminate mistakes before ever making a part. Defect prevention is a key area of concern that currently lacks sufficient theoretical understanding. This report is the result of a scoping study in the application of best-practice quality techniques that could address Sandia`s stockpile mission. The study provides detail on sources and control of mistakes, poka-yoke or mistake-proofing techniques, the Toyota Production system, and design theory in relation to manufacturing quality prediction. Scoping experiments are described and areas for future research are identified.

  16. Die Casting Part Distortion: Prediction and Attenuation; FINAL

    International Nuclear Information System (INIS)

    Allen Miller, R.

    2002-01-01

    The goal of this research was to predict the part deformation and residual stresses after ejection from the die and cooling to room temperature. A finite element model was built to achieve this goal and several modeling techniques were investigated throughout this research. Die-casting is a very complex process and the researchers are faced with a large number of hard to solve physical problems when modeling the process. Several assumptions are made in our simulation model. The first significant assumption is the instantaneous cavity filling. This means that the cavity filling stage is not considered in our model. Considering the cavity filling stage increases the modeling complexity as a result of different flow patterns. expected in the shot sleeve, gate, runner and different cavity features. The flow of gas from the cavity through the vents is another problem that is ignored in our model as a result of this assumption. Our second assumption is that the cast metal has uniform temperature distribution inside the cavity, at the starting point of simulation. This temperature is assumed to be over liquidus limit, i.e. the solid fraction is 0.0% of the cast metal. The third assumption is due to ABAQUS (commercial software used in this research) limitations. ABAQUS cannot deal with multi-phase models; therefore we use solid elements to define the casting instead of multi-phase (liquid/solid) elements. Liquid elements can carry the hydrostatic pressure from the shot sleeve and apply it on the cavity surfaces, while the solid elements do not have this capability. To compensate for this assumption we add the cavity pressure as a boundary condition and apply it on the cavity surface separately from the part. Another issue with this assumption is that, liquid casting can follow the cavity shape when it distorts. With the use of solid elements to represent the casting during its liquid state, it loses this capability to follow the cavity. Several techniques were tested to

  17. Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums

    Science.gov (United States)

    Lopez, M. I.; Luna, J. M.; Romero, C.; Ventura, S.

    2012-01-01

    This paper proposes a classification via clustering approach to predict the final marks in a university course on the basis of forum data. The objective is twofold: to determine if student participation in the course forum can be a good predictor of the final marks for the course and to examine whether the proposed classification via clustering…

  18. Predictive factors for final outcome of severely traumatized eyes with no light perception

    Directory of Open Access Journals (Sweden)

    Agrawal Rupesh

    2012-06-01

    Full Text Available Abstract Background An eye injury that causes no light perception (NLP typically carries an unfavorable prognosis, and NLP because of trauma is a common indication for enucleation. With advances in vitreoretinal surgical techniques, however, the indication for enucleation is no longer determined by posttrauma NLP vision alone. There are limited studies in the literature to analyse the outcome of NLP eyes following open globe injury. The current study was aimed to evaluate the outcome of surgical repair of severely traumatized eyes with no light perception vision as preoperative visual acuity. Secondary objective was to possibly predict the factors affecting the final vision outcome in this eyes. Methods Retrospective case analysis of patients with surgical repair of open globe injury over last ten years at a tertiary referral eye care centre in Singapore. Results Out of one hundred and seventy two eyes with open globe injury 27 (15.7% eyes had no light perception (NLP. After surgical repair, final visual acuity remained NLP in 18 (66.7% eyes. Final vision improved to Light perception/ Hand movement (LP/HM in 2(7.4% eyes, 1/200 to 19/200(11.1% in 3 eyes and 20/50-20/200(14.8% in 4 eyes. The median follow up was 18.9 months (range: 4–60 months. The factors contributing to poor postoperative outcome were presence of RAPD (p = 0.014, wound extending into zone III (p = 0.023 and associated vitreoretinal trauma (p = 0.008. Conclusions One third of eyes had ambulatory vision or better though two third of eyes still remained NLP. Pre-operative visual acuity of NLP should not be an indication for primary enucleation or evisceration for severely traumatized eyes. Presence of afferent papillary defect, wound extending posterior to rectus insertion and associated vitreoretinal trauma can adversely affect the outcome in severely traumatized eyes with NLP. Timely intervention and state of art surgery may restore useful vision in severely

  19. Hybrid Model Predictive Control for Optimizing Gestational Weight Gain Behavioral Interventions.

    Science.gov (United States)

    Dong, Yuwen; Rivera, Daniel E; Downs, Danielle S; Savage, Jennifer S; Thomas, Diana M; Collins, Linda M

    2013-01-01

    Excessive gestational weight gain (GWG) represents a major public health issue. In this paper, we pursue a control engineering approach to the problem by applying model predictive control (MPC) algorithms to act as decision policies in the intervention for assigning optimal intervention dosages. The intervention components consist of education, behavioral modification and active learning. The categorical nature of the intervention dosage assignment problem dictates the need for hybrid model predictive control (HMPC) schemes, ultimately leading to improved outcomes. The goal is to design a controller that generates an intervention dosage sequence which improves a participant's healthy eating behavior and physical activity to better control GWG. An improved formulation of self-regulation is also presented through the use of Internal Model Control (IMC), allowing greater flexibility in describing self-regulatory behavior. Simulation results illustrate the basic workings of the model and demonstrate the benefits of hybrid predictive control for optimized GWG adaptive interventions.

  20. Predicting Abandonment of School-Wide Behavior Support Interventions

    Science.gov (United States)

    Nese, Rhonda N. T.; McIntosh, Kent; Nese, Joseph F. T.; Ghemraoui, Adam; Bloom, Jerry; Johnson, Nanci W.; Phillips, Danielle; Richter, Mary F.; Hoselton, Robert

    2016-01-01

    This study examines predictors of abandonment of evidence-based practices through descriptive analyses of extant state-level training data, fidelity of implementation data, and nationally reported school demographic data across 915 schools in 3 states implementing school-wide positive behavioral interventions and supports (SWPBIS). Schools…

  1. Inability to predict postpartum hemorrhage: insights from Egyptian intervention data

    Directory of Open Access Journals (Sweden)

    Prata Ndola

    2011-11-01

    Full Text Available Abstract Background Knowledge on how well we can predict primary postpartum hemorrhage (PPH can help policy makers and health providers design current delivery protocols and PPH case management. The purpose of this paper is to identify risk factors and determine predictive probabilities of those risk factors for primary PPH among women expecting singleton vaginal deliveries in Egypt. Methods From a prospective cohort study, 2510 pregnant women were recruited over a six-month period in Egypt in 2004. PPH was defined as blood loss ≥ 500 ml. Measures of blood loss were made every 20 minutes for the first 4 hours after delivery using a calibrated under the buttocks drape. Using all variables available in the patients' charts, we divided them in ante-partum and intra-partum factors. We employed logistic regression to analyze socio-demographic, medical and past obstetric history, and labor and delivery outcomes as potential PPH risk factors. Post-model predicted probabilities were estimated using the identified risk factors. Results We found a total of 93 cases of primary PPH. In multivariate models, ante-partum hemoglobin, history of previous PPH, labor augmentation and prolonged labor were significantly associated with PPH. Post model probability estimates showed that even among women with three or more risk factors, PPH could only be predicted in 10% of the cases. Conclusions The predictive probability of ante-partum and intra-partum risk factors for PPH is very low. Prevention of PPH to all women is highly recommended.

  2. What predicts postpartum pertussis booster vaccination? A controlled intervention trial.

    Science.gov (United States)

    Hayles, Elizabeth Helen; Cooper, Spring Chenoa; Wood, Nicholas; Sinn, John; Skinner, S Rachel

    2015-01-01

    'Cocooning' aims to protect susceptible infants from pertussis via caregiver vaccination. Control trials evaluating educational interventions to promote cocooning are lacking. We evaluated the role of message-framing vs. standard health information in promoting pertussis vaccination. We recruited postpartum women from a maternity hospital in Sydney, Australia (November 2010-July 2012). Participants self-completed a pertussis knowledge and attitudes questionnaire. We then assigned pertussis-susceptible (no pertussis vaccine ≤10 years) participants to receive a gain-framed, loss-framed pamphlet or control (Government Pertussis factsheet) using weekly sequential block allocation. Next, participants were offered a pertussis vaccine (dTpa) and completed a post-questionnaire on discharge. A baseline questionnaire was completed for 96.4% (1433/1486) of postpartum women approached. Missing data was excluded (n=29). Next, participants (1404) were screened for vaccine status: 324 (23%) reported prior pertussis booster vaccine receipt, leaving 1080 participants requiring vaccination. Among susceptible mothers, 70% (754/1080) were vaccinated post-intervention. Rates were similar between 'gain', 'loss' or 'control' pamphlets (69.1% vs. 71.8% vs. 68.8%; p=0.62). Intention to be vaccinated (OR 2.46, pvaccine benefits (OR: 1.61, pvaccine recommendation (OR 1.68; p=0.025; 95% CI: 1.07-2.65) were independent predictors of vaccine uptake. At discharge, overall pertussis vaccine coverage had increased from 23% to 77% among women screened (1078/1404). A cocooning strategy for pertussis vaccination can be highly effective when partially implemented within maternity hospitals, with information accompanied by a funded vaccine. Mothers were highly receptive to vaccination in the postnatal ward: facts about pertussis were as effective as message-framing in promoting a high uptake of 70%. Perceived vaccine benefits, intentions and vaccine recommendation were important predictors of uptake

  3. Comparison of tree types of models for the prediction of final academic achievement

    Directory of Open Access Journals (Sweden)

    Silvana Gasar

    2002-12-01

    Full Text Available For efficient prevention of inappropriate secondary school choices and by that academic failure, school counselors need a tool for the prediction of individual pupil's final academic achievements. Using data mining techniques on pupils' data base and expert modeling, we developed several models for the prediction of final academic achievement in an individual high school educational program. For data mining, we used statistical analyses, clustering and two machine learning methods: developing classification decision trees and hierarchical decision models. Using an expert system shell DEX, an expert system, based on a hierarchical multi-attribute decision model, was developed manually. All the models were validated and evaluated from the viewpoint of their applicability. The predictive accuracy of DEX models and decision trees was equal and very satisfying, as it reached the predictive accuracy of an experienced counselor. With respect on the efficiency and difficulties in developing models, and relatively rapid changing of our education system, we propose that decision trees are used in further development of predictive models.

  4. Pre-trial Intervention: The Manhattan Court Employment Project of the Vera Institute of Justice. Final Report.

    Science.gov (United States)

    Vera Inst. of Justice, New York, NY.

    The final report of an experimental pre-trial intervention program of intensive manpower services (individual and group counseling and job, training, or academic placement with the help of career developers) for selected defendants in Manhattan covers the period November 1967 through October 1970. After three years and 1,300 participants,…

  5. Patient Dose Optimization in Fluoroscopically Guided Interventional Procedures. Final Report of a Coordinated Research Project

    International Nuclear Information System (INIS)

    2010-01-01

    In recent years, many surgical procedures have increasingly been replaced by interventional procedures that guide catheters into the arteries under X ray fluoroscopic guidance to perform a variety of operations such as ballooning, embolization, implantation of stents etc. The radiation exposure to patients and staff in such procedures is much higher than in simple radiographic examinations like X ray of chest or abdomen such that radiation induced skin injuries to patients and eye lens opacities among workers have been reported in the 1990's and after. Interventional procedures have grown both in frequency and importance during the last decade. This Coordinated Research Project (CRP) and TECDOC were developed within the International Atomic Energy Agency's (IAEA) framework of statutory responsibility to provide for the worldwide application of the standards for the protection of people against exposure to ionizing radiation. The CRP took place between 2003 and 2005 in six countries, with a view of optimizing the radiation protection of patients undergoing interventional procedures. The Fundamental Safety Principles and the International Basic Safety Standards for Protection against Ionizing Radiation (BSS) issued by the IAEA and co-sponsored by the Food and Agriculture Organization of the United Nations (FAO), the International Labour Organization (ILO), the World Health Organization (WHO), the Pan American Health Organization (PAHO) and the Nuclear Energy Agency (NEA), among others, require the radiation protection of patients undergoing medical exposures through justification of the procedures involved and through optimization. In keeping with its responsibility on the application of standards, the IAEA programme on Radiological Protection of Patients encourages the reduction of patient doses. To facilitate this, it has issued specific advice on the application of the BSS in the field of radiology in Safety Reports Series No. 39 and the three volumes on Radiation

  6. Comparison of biometric predictability and final refraction expected in phacoemulsification surgery with and without trabeculectomy

    Directory of Open Access Journals (Sweden)

    Fernanda Guedes Oliveira

    Full Text Available Abstract Objective: The main purpose of this article is to compare the predictability of biometric results and final refractive outcomes expected in patients undergoing cataract surgery through phacoemulsification with and without associated trabeculectomy. Methods: Cataract patients who have undergone phacoemulsification surgery alone (control group or associated with trabeculectomy (study group screened. All surgeries were performed following standard protocol. For enrollment, biometrics calculated by IOL Master (Carl Zeiss Meditec, Inc. biometry, refraction and intraocular pressure (IOP before and after surgery were required. Data was compared between groups in addition to the correlation between variation of IOP and final refraction. Results: Thirty eyes per group were enrolled. Only prior IOP (p <0.001, IOP post-surgery (p = 0.01 and the difference in IOP (p <0.001 were statistically significant. Axial length, IOL diopter used, expected spherical refraction by biometrics and astigmatism pre- and post-surgery were similar in both groups (p=0.1; 0.4; 0.4; 0.5 and 0.3, respectively. Spherical predictability by biometrics within 0.25 diopters was noted in both the control group (range 0.06 ± 0.45 and study group (range 0.25 ± 0.97, p = 0.3. There was no statistical significance between groups for the difference between final cylinder and corneal astigmatism (p = 0.9, and the difference between axis of refractive and corneal astigmatism (p = 0.7. Conclusion: The biometric predictability in phacoemulsification surgery and the expected final refraction are significant, andare not modified by trabeculectomy in the combined surgeries.

  7. PREDICTING SUCCESS INDICATORS OF AN INTERVENTION PROGRAMME FOR CONVICTED INTIMATE-PARTNER VIOLENCE OFFENDERS: THE CONTEXTO PROGRAMME

    Directory of Open Access Journals (Sweden)

    Enrique Gracia

    2013-01-01

    Full Text Available Recent legal changes in Spain have led to an important increase in the number of men court-mandated to community-based partner violence offender intervention programmes. However, just a few of those interventions have been systematically examined. This study aims to predict success indicators of an intervention programme for convicted intimate-partner violence offenders. The sample consisted of 212 convicted intimate-partner violence offenders who participated in the Contexto Programme. Three “intervention gains” or target criteria were established (increasing the perceived severity of violence, increasing the responsibility assumption for one’s actions, and reducing the risk of recidivism. A structural equations model was tested, fitting data appropriately. Participants with major gain in recidivism risk were those who presented lower levels of alcohol consumption, shorter sentences, lower impulsivity, and a higher degree of life satisfaction. The largest gain in perceived severity was found in younger participants, participants with shorter sentences, lower alcohol consumption, higher life satisfaction, higher participation in their community, and higher self-esteem. And, finally, participants with the highest gains in responsibility assumption were older participants, participants who presented higher intimate support, higher anxiety, higher sexism, lower anger control, higher depression, higher impulsivity and higher self-esteem.

  8. Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke.

    Science.gov (United States)

    Tipirneni-Sajja, Aaryani; Christensen, Soren; Straka, Matus; Inoue, Manabu; Lansberg, Maarten G; Mlynash, Michael; Bammer, Roland; Parsons, Mark W; Donnan, Geoffrey A; Davis, Stephen M; Albers, Gregory W

    2017-08-01

    Final infarct volume in stroke trials is assessed on images obtained between 30 and 90 days after stroke onset. Imaging at such delayed timepoints is problematic because patients may be lost to follow-up or die before the scan. Obtaining an early assessment of infarct volume on subacute scans avoids these limitations; however, it overestimates true infarct volume because of edema. The aim of this study was to develop a novel approach to quantify edema so that final infarct volumes can be approximated on subacute scans. We analyzed data from 20 stroke patients (median age, 75 years) who had baseline, subacute (fu5d) and late (fu90d) MRI scans. Edema displaces CSF from sulci and ventricles; therefore, edema volume was estimated as change in CSF volume between baseline and spatially coregistered fu5d ADC maps. The median (interquartile range, IQR) estimated edema volume was 13.3 (7.5-37.7) mL. The fu5d lesion volumes correlated well with fu90d infarct volumes with slope: 1.24. With edema correction, fu5d infarct volumes are in close agreement, slope: 0.97 and strongly correlated with actual fu90d volumes. The median (IQR) difference between actual and predicted infarct volumes was 0.1 (-3.0-5.7) mL. In summary, this novel technique for estimation of edema allows final infarct volume to be predicted from subacute MRI.

  9. Predicting Program Completion among Families Enrolled in a Child Neglect Preventive Intervention

    Science.gov (United States)

    Girvin, Heather; DePanfilis, Diane; Daining, Clara

    2007-01-01

    Objective: An exploratory analysis of self-report data gathered by the Family Connections program is used to build a predictive model of program completion. Method: The sample includes 136 families in a poor, urban neighborhood who meet risk criteria for child neglect. Families are randomly assigned to receive 3- or 9-month interventions.…

  10. Snoring intensity after a first session of soft palate radiofrequency: predictive value of the final result.

    Science.gov (United States)

    Blumen, Marc Bernard; Vezina, Jean Philippe; Bequignon, Emilie; Chabolle, Frederic

    2013-06-01

    To determine whether snoring sound intensity measured after a first soft palate radiofrequency (RF) session for simple snoring helps predict the final result of the treatment. Observational retrospective study. We conducted a retrospective review of 105 subjects presenting with simple snoring or mild sleep apnea. All patients underwent two to three sessions of RF-assisted stiffening of the soft palate. In addition, uvulectomy was performed in case of a long uvula, and two paramedian trenches were created in the presence of palatal webbing. Snoring sound intensity was evaluated by the bed partner after each session. Eighty-six men and 19 women were included in the study. Mean age was 51.7 ± 9.8 years, and mean body mass index was 24.7 ± 4.4 kg/m(2) . The mean apnea/hypopnea index was 6.6 ± 4.2/h. The mean snoring sound intensity, as evaluated on a 10-cm visual analog scale (VAS), decreased from 8.2 ± 1.5 to 3.5 ± 2.2 after all sessions (P snoring sound intensity, using 3 as a threshold. Both groups had similar preoperative characteristics, but the snoring sound intensity was significantly lower after the first session in the group with final score 7 after the first session was associated with a final score Snoring sound intensity after the first RF session helps predict the final outcome of RF-assisted stiffening of the soft palate for simple snoring. Copyright © 2012 The American Laryngological, Rhinological and Otological Society, Inc.

  11. Interventional Application of Shape Memory Polymer Foam Final Report CRADA No. TC-02067-03

    Energy Technology Data Exchange (ETDEWEB)

    Maitland, D. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Metzger, M. F. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2017-09-27

    This was a collaborative effort between The Regents of the University of California, Lawrence Livermore National Laboratory (LLNL) and Sierra Interventions, LLC, to develop shape memory polymer foam devices for treating hemorrhagic stroke.

  12. Factors Predicting Bereaved Caregiver Perception of Quality of Care in the Final Week of Life: Implications for Health Care Providers.

    Science.gov (United States)

    Higgins, Philip C; Garrido, Melissa M; Prigerson, Holly G

    2015-10-01

    Cancer caregivers are key stakeholders in the final weeks of life and in bereavement. Research has highlighted end-of-life (EOL) factors important to caregivers, as well as factors contributing to caregiver mental health and bereavement outcomes. There has been limited data on factors predicting caregiver perceptions of quality of EOL care. This study's purpose was to identify modifiable predictors of caregivers' Caregiver Evaluation of Quality of End of Life Care (CEQUEL) scores, with the broader aim of informing clinical interventions to improve caregiver impressions of care and subsequent bereavement adjustment. Study data came from Coping with Cancer I (CwC1). CwC1 investigators interviewed advanced cancer patients and caregivers prior to the patient's death (Wave 1) and reinterviewed caregivers following the death (Wave 2) (N=275 dyads). The authors identified potential Wave 1 predictors of CEQUEL scores and performed a series of linear regression analyses to identify a parsimonious predictive model using corrected Akaike's Information Criterion (AICc) values. In adjusted analyses, caregivers rated quality of care as poorer when patients died in a hospital (B=-1.40, SE=0.40, p=0.001) (B, unstandardized regression coefficient; SE, standard error) or had less than one week of inpatient hospice care (B=-1.98, SE=-0.70, p=0.006). Whole-person physician care and caregiver religiosity were associated with perceived higher quality of care in unadjusted, but not adjusted, analyses. Findings suggest that place of death and hospice length of stay best predict bereaved caregiver evaluations of quality of EOL care. These findings equip health care providers with modifiable targets to improve caregivers' experience of EOL care and subsequent bereavement.

  13. Endoscopic ultrasound criteria to predict the need for intervention in pancreatic necrosis

    Directory of Open Access Journals (Sweden)

    Jürgensen Christian

    2012-05-01

    Full Text Available Abstract Background The natural course and treatment strategies for asymptomatic or oligosymptomatic pancreatic necrosis are still poorly defined. The aim of this retrospective study was to establish criteria for the need of intervention in patients with pancreatic necrosis. Methods A total of 31 consecutive patients (18 male, median age 58 yrs. diagnosed with pancreatic necrosis by endoscopic ultrasound, in whom a decision for initial conservative treatment was made, were followed for the need of interventions such as endoscopic or surgical intervention, or death. Results After a median follow-up of 243 days, 21 patients remained well without intervention and in 10 patients an endpoint event occurred. In a multivariate logistic regression analysis of the clinical and endosonographic parameters, liquid content was the single independent predictor for intervention (p = 0.0006. The presence of high liquid content in the pancreatic necrosis resulted in a 64% predicted endpoint risk as compared to 2% for solid necrosis. Conclusions Pancreatic necrotic cavities with high liquid content are associated with a high risk of complications. Therefore, close clinical monitoring is needed and early elective intervention might be considered in these patients.

  14. Gut Microbiota Signatures Predict Host and Microbiota Responses to Dietary Interventions in Obese Individuals

    Science.gov (United States)

    Korpela, Katri; Flint, Harry J.; Johnstone, Alexandra M.; Lappi, Jenni; Poutanen, Kaisa; Dewulf, Evelyne; Delzenne, Nathalie; de Vos, Willem M.; Salonen, Anne

    2014-01-01

    Background Interactions between the diet and intestinal microbiota play a role in health and disease, including obesity and related metabolic complications. There is great interest to use dietary means to manipulate the microbiota to promote health. Currently, the impact of dietary change on the microbiota and the host metabolism is poorly predictable and highly individual. We propose that the responsiveness of the gut microbiota may depend on its composition, and associate with metabolic changes in the host. Methodology Our study involved three independent cohorts of obese adults (n = 78) from Belgium, Finland, and Britain, participating in different dietary interventions aiming to improve metabolic health. We used a phylogenetic microarray for comprehensive fecal microbiota analysis at baseline and after the intervention. Blood cholesterol, insulin and inflammation markers were analyzed as indicators of host response. The data were divided into four training set – test set pairs; each intervention acted both as a part of a training set and as an independent test set. We used linear models to predict the responsiveness of the microbiota and the host, and logistic regression to predict responder vs. non-responder status, or increase vs. decrease of the health parameters. Principal Findings Our models, based on the abundance of several, mainly Firmicute species at baseline, predicted the responsiveness of the microbiota (AUC  =  0.77–1; predicted vs. observed correlation  =  0.67–0.88). Many of the predictive taxa showed a non-linear relationship with the responsiveness. The microbiota response associated with the change in serum cholesterol levels with an AUC of 0.96, highlighting the involvement of the intestinal microbiota in metabolic health. Conclusion This proof-of-principle study introduces the first potential microbial biomarkers for dietary responsiveness in obese individuals with impaired metabolic health, and reveals the potential of

  15. Physical characteristics that predict final basal insulin dose in type 2 diabetes mellitus, with a special focus on BMI

    NARCIS (Netherlands)

    Simon, A. C. R.; Bolli, G. B.; Dain, M.-P.; Wang, E.; Holleman, F.

    2014-01-01

    The possibility to predict final insulin dose based on patient's characteristics would allow for efficient titration for patients with higher dose needs. The primary aim of this post-hoc analysis of the L2T3 study was to determine predictors for final dose. Specifically, we focused on the

  16. Predicting performance in a first engineering calculus course: implications for interventions

    Science.gov (United States)

    Hieb, Jeffrey L.; Lyle, Keith B.; Ralston, Patricia A. S.; Chariker, Julia

    2015-01-01

    At the University of Louisville, a large, urban institution in the south-east United States, undergraduate engineering students take their mathematics courses from the school of engineering. In the fall of their freshman year, engineering students take Engineering Analysis I, a calculus-based engineering analysis course. After the first two weeks of the semester, many students end up leaving Engineering Analysis I and moving to a mathematics intervention course. In an effort to retain more students in Engineering Analysis I, the department collaborated with university academic support services to create a summer intervention programme. Students were targeted for the summer programme based on their score on an algebra readiness exam (ARE). In a previous study, the ARE scores were found to be a significant predictor of retention and performance in Engineering Analysis I. This study continues that work, analysing data from students who entered the engineering school in the fall of 2012. The predictive validity of the ARE was verified, and a hierarchical linear regression model was created using math American College Testing (ACT) scores, ARE scores, summer intervention participation, and several metacognitive and motivational factors as measured by subscales of the Motivated Strategies for Learning Questionnaire. In the regression model, ARE score explained an additional 5.1% of the variation in exam performance in Engineering Analysis I beyond math ACT score. Students took the ARE before and after the summer interventions and scores were significantly higher following the intervention. However, intervention participants nonetheless had lower exam scores in Engineering Analysis I. The following factors related to motivation and learning strategies were found to significantly predict exam scores in Engineering Analysis I: time and study environment management, internal goal orientation, and test anxiety. The adjusted R2 for the full model was 0.42, meaning that the

  17. Can we predict final outcome of internal medicine residents with in-training evaluation.

    Science.gov (United States)

    Chierakul, Nitipatana; Pongprasobchai, Supot; Boonyapisit, Kanokwan; Chinthammitr, Yingyong; Pithukpakorn, Manop; Maneesai, Adisak; Srivijitkamol, Apiradee; Koomanachai, Pornpan; Koolvisoot, Ajchara; Tanwandee, Tawesak; Shayakul, Chairat; Kachintorn, Udom

    2011-02-01

    To assess the predictive value of in-training evaluation for determining future success in the internal medicine board certifying examination. Ninety-seven internal medicine residents from Faculty of Medicine Siriraj Hospital who undertake the Thai Board examination during the academic year 2006-2008 were enrolled. Correlation between the scores during internal medicine rotation and final scores in board examination were then examined. Significant positive linear correlation was found between scores from both written and clinical parts of board certifying examination and scores from the first-year summative written and clinical examinations and also the second-year formative written examination (r = 0.43-0.68, p evaluation by attending staffs was less well correlated (r = 0.29-0.36) and the evaluation by nurses or medical students demonstrated inverse relationship (r = -0.2, p = 0.27 and r = -0.13, p = 0.48). Some methods of in-training evaluation can predict successful outcome of board certifying examination. Multisource assessments cannot well extrapolate some aspects of professional competences and qualities.

  18. Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.

    Science.gov (United States)

    Dong, Yuwen; Deshpande, Sunil; Rivera, Daniel E; Downs, Danielle S; Savage, Jennifer S

    2014-06-01

    Control engineering offers a systematic and efficient method to optimize the effectiveness of individually tailored treatment and prevention policies known as adaptive or "just-in-time" behavioral interventions. The nature of these interventions requires assigning dosages at categorical levels, which has been addressed in prior work using Mixed Logical Dynamical (MLD)-based hybrid model predictive control (HMPC) schemes. However, certain requirements of adaptive behavioral interventions that involve sequential decision making have not been comprehensively explored in the literature. This paper presents an extension of the traditional MLD framework for HMPC by representing the requirements of sequential decision policies as mixed-integer linear constraints. This is accomplished with user-specified dosage sequence tables, manipulation of one input at a time, and a switching time strategy for assigning dosages at time intervals less frequent than the measurement sampling interval. A model developed for a gestational weight gain (GWG) intervention is used to illustrate the generation of these sequential decision policies and their effectiveness for implementing adaptive behavioral interventions involving multiple components.

  19. A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health.

    Science.gov (United States)

    Zafra-Cabeza, Ascensión; Rivera, Daniel E; Collins, Linda M; Ridao, Miguel A; Camacho, Eduardo F

    2011-07-01

    This paper examines how control engineering and risk management techniques can be applied in the field of behavioral health through their use in the design and implementation of adaptive behavioral interventions. Adaptive interventions are gaining increasing acceptance as a means to improve prevention and treatment of chronic, relapsing disorders, such as abuse of alcohol, tobacco, and other drugs, mental illness, and obesity. A risk-based Model Predictive Control (MPC) algorithm is developed for a hypothetical intervention inspired by Fast Track, a real-life program whose long-term goal is the prevention of conduct disorders in at-risk children. The MPC-based algorithm decides on the appropriate frequency of counselor home visits, mentoring sessions, and the availability of after-school recreation activities by relying on a model that includes identifiable risks, their costs, and the cost/benefit assessment of mitigating actions. MPC is particularly suited for the problem because of its constraint-handling capabilities, and its ability to scale to interventions involving multiple tailoring variables. By systematically accounting for risks and adapting treatment components over time, an MPC approach as described in this paper can increase intervention effectiveness and adherence while reducing waste, resulting in advantages over conventional fixed treatment. A series of simulations are conducted under varying conditions to demonstrate the effectiveness of the algorithm.

  20. Reliability of steam-turbine rotors. Task 1. Lifetime prediction analysis system. Final report

    International Nuclear Information System (INIS)

    Nair, P.K.; Pennick, H.G.; Peters, J.E.; Wells, C.H.

    1982-12-01

    Task 1 of RP 502, Reliability of Steam Turbine Rotors, resulted in the development of a computerized lifetime prediction analysis system (STRAP) for the automatic evaluation of rotor integrity based upon the results of a boresonic examination of near-bore defects. Concurrently an advanced boresonic examination system (TREES), designed to acquire data automatically for lifetime analysis, was developed and delivered to the maintenance shop of a major utility. This system and a semi-automated, state-of-the-art system (BUCS) were evaluated on two retired rotors as part of the Task 2 effort. A modified nonproprietary version of STRAP, called SAFER, is now available for rotor lifetime prediction analysis. STRAP and SAFER share a common fracture analysis postprocessor for rapid evaluation of either conventional boresonic amplitude data or TREES cell data. The final version of this postprocessor contains general stress intensity correlations for elliptical cracks in a radial stress gradient and provision for elastic-plastic instability of the ligament between an imbedded crack and the bore surface. Both linear elastic and ligament rupture models were developed for rapid analysis of linkup within three-dimensional clusters of defects. Bore stress-rupture criteria are included, but a creep-fatigue crack growth data base is not available. Physical and mechanical properties of air-melt 1CrMoV forgings are built into the program; however, only bounding values of fracture toughness versus temperature are available. Owing to the lack of data regarding the probability of flaw detection for the boresonic systems and of quantitative verification of the flaw linkup analysis, automatic evlauation of boresonic results is not recommended, and the lifetime prediction system is currently restricted to conservative, deterministic analysis of specified flaw geometries

  1. Workflow and intervention times of MR-guided focused ultrasound - Predicting the impact of new techniques.

    Science.gov (United States)

    Loeve, Arjo J; Al-Issawi, Jumana; Fernandez-Gutiérrez, Fabiola; Langø, Thomas; Strehlow, Jan; Haase, Sabrina; Matzko, Matthias; Napoli, Alessandro; Melzer, Andreas; Dankelman, Jenny

    2016-04-01

    Magnetic resonance guided focused ultrasound surgery (MRgFUS) has become an attractive, non-invasive treatment for benign and malignant tumours, and offers specific benefits for poorly accessible locations in the liver. However, the presence of the ribcage and the occurrence of liver motion due to respiration limit the applicability MRgFUS. Several techniques are being developed to address these issues or to decrease treatment times in other ways. However, the potential benefit of such improvements has not been quantified. In this research, the detailed workflow of current MRgFUS procedures was determined qualitatively and quantitatively by using observation studies on uterine MRgFUS interventions, and the bottlenecks in MRgFUS were identified. A validated simulation model based on discrete events simulation was developed to quantitatively predict the effect of new technological developments on the intervention duration of MRgFUS on the liver. During the observation studies, the duration and occurrence frequencies of all actions and decisions in the MRgFUS workflow were registered, as were the occurrence frequencies of motion detections and intervention halts. The observation results show that current MRgFUS uterine interventions take on average 213min. Organ motion was detected on average 2.9 times per intervention, of which on average 1.0 actually caused a need for rework. Nevertheless, these motion occurrences and the actions required to continue after their detection consumed on average 11% and up to 29% of the total intervention duration. The simulation results suggest that, depending on the motion occurrence frequency, the addition of new technology to automate currently manual MRgFUS tasks and motion compensation could potentially reduce the intervention durations by 98.4% (from 256h 5min to 4h 4min) in the case of 90% motion occurrence, and with 24% (from 5h 19min to 4h 2min) in the case of no motion. In conclusion, new tools were developed to predict how

  2. Classifying and predicting endurance outcomes of α2-adrenergic agonist intervention in spinal cord injury.

    Science.gov (United States)

    Brown, Geoffrey L; Duffell, Lynsey D; Mirbagheri, Mehdi M

    2014-01-01

    Spinal cord injury (SCI) is a traumatic condition that can lead to both functional and neuromuscular impairments. Spasticity in the muscles surrounding the ankle joint caused by hypertonia is often reported as a complication. We investigated whether a pharmacological intervention using Tizanidine, an anti-spastic medication acting as an α2-adrenergic agonist, could lead to improvements in walking endurance. We placed subjects on a 4-week program and measured the change in clinical measures of walking speed, endurance, and mobility. We used growth mixture modeling (GMM) to class subjects into groups based on recovery patterns. Two classes of recovery were found by GMM: high and low functioning. Radom coefficient regression (RCR) was then used to identify significant changes over time. Statistically significant improvements in walking endurance were shown for the high functioning group. However, a small number of subjects in the high functioning group showed improvement greater than the smallest real difference (SRD), which indicates a clinical significance as well. We also investigated the extent to which these recovery patterns can be predicted using baseline measures. Baseline walking endurance was found to be a robust predictor of recovery in walking endurance. Subjects that began the intervention with already higher endurance showed a greater chance of improvement in endurance over time. This information could potentially be used as a fast and reliable assessment tool for clinicians to predict which patient can benefit the most from this intervention prior to prescribing the medication, and thus optimizing cost and resources. Our findings demonstrate that these techniques can be used to characterize and predict the progress of changes to functional impairments due to various types of intervention.

  3. Provision of Early Intervention and Special Education Services to Eligible DoD Dependents. Final rule.

    Science.gov (United States)

    2015-06-25

    This rule reissues the current regulations and: Establishes policy, assigns responsibilities, and implements the non-funding and non-reporting provisions in DoD for: Provision of early intervention services (EIS) to infants and toddlers with disabilities and their families, as well as special education and related services to children with disabilities entitled under this part to receive education services from the DoD; implementation of a comprehensive, multidisciplinary program of EIS for infants and toddlers with disabilities and their families who, but for age, are eligible to be enrolled in DoD schools; provision of a free appropriate public education (FAPE), including special education and related services, for children with disabilities, as specified in their individualized education programs (IEP), who are eligible to enroll in DoD schools; and monitoring of DoD programs providing EIS, and special education and related services for compliance with this part. This rule also establishes a DoD Coordinating Committee to recommend policies and provide compliance oversight for early intervention and special education.

  4. Network discovery, characterization, and prediction : a grand challenge LDRD final report.

    Energy Technology Data Exchange (ETDEWEB)

    Kegelmeyer, W. Philip, Jr.

    2010-11-01

    This report is the final summation of Sandia's Grand Challenge LDRD project No.119351, 'Network Discovery, Characterization and Prediction' (the 'NGC') which ran from FY08 to FY10. The aim of the NGC, in a nutshell, was to research, develop, and evaluate relevant analysis capabilities that address adversarial networks. Unlike some Grand Challenge efforts, that ambition created cultural subgoals, as well as technical and programmatic ones, as the insistence on 'relevancy' required that the Sandia informatics research communities and the analyst user communities come to appreciate each others needs and capabilities in a very deep and concrete way. The NGC generated a number of technical, programmatic, and cultural advances, detailed in this report. There were new algorithmic insights and research that resulted in fifty-three refereed publications and presentations; this report concludes with an abstract-annotated bibliography pointing to them all. The NGC generated three substantial prototypes that not only achieved their intended goals of testing our algorithmic integration, but which also served as vehicles for customer education and program development. The NGC, as intended, has catalyzed future work in this domain; by the end it had already brought in, in new funding, as much funding as had been invested in it. Finally, the NGC knit together previously disparate research staff and user expertise in a fashion that not only addressed our immediate research goals, but which promises to have created an enduring cultural legacy of mutual understanding, in service of Sandia's national security responsibilities in cybersecurity and counter proliferation.

  5. Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most.

    Science.gov (United States)

    Baumel, Amit; Yom-Tov, Elad

    2018-02-17

    Existing frameworks have identified a range of intervention design features that may facilitate adherence to eHealth interventions; however, empirical data are lacking on whether intervention design features can predict user adherence in the real world-where the public access available tools-and whether some design aspects of behavioral eHealth interventions are more important than others in predicting adherence. This study examined whether intervention design qualities predict user adherence to behavioral eHealth interventions in real-world use and which qualities matter the most. We correlated the online activities of users of 30 web-based behavioral interventions-collected from a proprietary data set of anonymized logs from consenting users of Microsoft Internet Explorer add-on-with interventions' quality ratings obtained by trained raters prior to empirical examination. The quality ratings included: Usability, Visual Design, User Engagement, Content, Therapeutic Persuasiveness (i.e., persuasive design and incorporation of behavior change techniques), and Therapeutic Alliance. We found Therapeutic Persuasiveness (i.e., the incorporation of persuasive design/behavior change principles) to be the most robust predictor of adherence (i.e., duration of use, number of unique sessions; 40 ≤ rs ≤ .58, ps ≤ .005), explaining 42% of the variance in user adherence in our regression model. Results indicated up to six times difference in the percentage of users utilizing the interventions for more than a minimum amount of time and sessions based on Therapeutic Persuasiveness. Findings suggest the importance of persuasive design and behavior change techniques incorporation during the design and evaluation of digital behavioral interventions.

  6. Prediction impact curve is a new measure integrating intervention effects in the evaluation of risk models.

    Science.gov (United States)

    Campbell, William; Ganna, Andrea; Ingelsson, Erik; Janssens, A Cecile J W

    2016-01-01

    We propose a new measure of assessing the performance of risk models, the area under the prediction impact curve (auPIC), which quantifies the performance of risk models in terms of their average health impact in the population. Using simulated data, we explain how the prediction impact curve (PIC) estimates the percentage of events prevented when a risk model is used to assign high-risk individuals to an intervention. We apply the PIC to the Atherosclerosis Risk in Communities (ARIC) Study to illustrate its application toward prevention of coronary heart disease. We estimated that if the ARIC cohort received statins at baseline, 5% of events would be prevented when the risk model was evaluated at a cutoff threshold of 20% predicted risk compared to 1% when individuals were assigned to the intervention without the use of a model. By calculating the auPIC, we estimated that an average of 15% of events would be prevented when considering performance across the entire interval. We conclude that the PIC is a clinically meaningful measure for quantifying the expected health impact of risk models that supplements existing measures of model performance. Copyright © 2016 Elsevier Inc. All rights reserved.

  7. Risk prediction models for major adverse cardiac event (MACE) following percutaneous coronary intervention (PCI): A review

    Science.gov (United States)

    Manan, Norhafizah A.; Abidin, Basir

    2015-02-01

    Five percent of patients who went through Percutaneous Coronary Intervention (PCI) experienced Major Adverse Cardiac Events (MACE) after PCI procedure. Risk prediction of MACE following a PCI procedure therefore is helpful. This work describes a review of such prediction models currently in use. Literature search was done on PubMed and SCOPUS database. Thirty literatures were found but only 4 studies were chosen based on the data used, design, and outcome of the study. Particular emphasis was given and commented on the study design, population, sample size, modeling method, predictors, outcomes, discrimination and calibration of the model. All the models had acceptable discrimination ability (C-statistics >0.7) and good calibration (Hosmer-Lameshow P-value >0.05). Most common model used was multivariate logistic regression and most popular predictor was age.

  8. Implicit theories of intelligence predict achievement across an adolescent transition: a longitudinal study and an intervention.

    Science.gov (United States)

    Blackwell, Lisa S; Trzesniewski, Kali H; Dweck, Carol Sorich

    2007-01-01

    Two studies explored the role of implicit theories of intelligence in adolescents' mathematics achievement. In Study 1 with 373 7th graders, the belief that intelligence is malleable (incremental theory) predicted an upward trajectory in grades over the two years of junior high school, while a belief that intelligence is fixed (entity theory) predicted a flat trajectory. A mediational model including learning goals, positive beliefs about effort, and causal attributions and strategies was tested. In Study 2, an intervention teaching an incremental theory to 7th graders (N=48) promoted positive change in classroom motivation, compared with a control group (N=43). Simultaneously, students in the control group displayed a continuing downward trajectory in grades, while this decline was reversed for students in the experimental group.

  9. Construct and Predictive Validity of Social Acceptability: Scores From High School Teacher Ratings on the School Intervention Rating Form

    Science.gov (United States)

    Harrison, Judith R.; State, Talida M.; Evans, Steven W.; Schamberg, Terah

    2016-01-01

    The purpose of this study was to evaluate the construct and predictive validity of scores on a measure of social acceptability of class-wide and individual student intervention, the School Intervention Rating Form (SIRF), with high school teachers. Utilizing scores from 158 teachers, exploratory factor analysis revealed a three-factor (i.e.,…

  10. Predicting the Effects of Interventions: A Tutorial on the Disequilibrium Model.

    Science.gov (United States)

    Jacobs, Kenneth W; Morford, Zachary H; King, James E; Hayes, Linda J

    2017-06-01

    The disequilibrium approach to reinforcement and punishment, derived from the probability-differential hypothesis and response deprivation hypothesis, provides a number of potentially useful mathematical models for practitioners. The disequilibrium approach and its accompanying models have proven effective in the prediction and control of behavior, yet they have not been fully espoused and integrated into clinical practice. The purpose of this tutorial is to detail the disequilibrium approach and adapt its mathematical models for use as a tool in applied settings. The disequilibrium models specify how to arrange contingencies and predict the effects of those contingencies. We aggregate these models, and provide them as a single tool, in the form of a Microsoft Excel® spreadsheet that calculates the direction and magnitude of behavior change based on baseline measures and a practitioner's choice of intervention parameters. How practitioners take baseline measures and select intervention parameters in accordance with disequilibrium models is explicated. The proposed tool can be accessed and downloaded for use at https://osf.io/knf7x/.

  11. Does Personality Predict Depression and Use of an Internet-Based Intervention for Depression among Adolescents?

    Directory of Open Access Journals (Sweden)

    Hans Christian B. Vangberg

    2012-01-01

    Full Text Available Background. Focus upon depression and prevention of its occurrence among adolescents is increasing. Novel ways of dealing with this serious problem have become available especially by means of internet-based prevention and treatment programs of depression and anxiety. The use of Internet-based intervention programs among adolescents has revealed some difficulties in implementation that need to be further elucidated. The aim of this study is to investigate the association between personality and adolescent depression and the characteristics of users of an Internet-based intervention program. Method. The Junior Temperament and Character Inventory (JTCI, the General Self-Efficacy scale (GSE and the Centre for Epidemiological Studies-Depression scale (CES-D have been administered to a sample (=1234 of Norwegian senior high-school students. Results. Multiple regression analysis revealed associations between depression and gender, and several JTCI domains and facets. In line with previous findings in adults, high Harm Avoidance and low Self-Directedness emerged as the strongest predictors of adolescent depressive symptoms. Further, in logistic regression analysis with the covariates JTCI, GSE and CES-D, the only significant variables predicting use/non-use were the CES-D and the temperament domain Reward Dependence. Conclusion. The results in this study revealed level of depressive symptoms as the strongest predictor of the use of the Internet based intervention and that personality might provide useful information about the users.

  12. Epidemiology of Mild Traumatic Brain Injury with Intracranial Hemorrhage: Focusing Predictive Models for Neurosurgical Intervention.

    Science.gov (United States)

    Orlando, Alessandro; Levy, A Stewart; Carrick, Matthew M; Tanner, Allen; Mains, Charles W; Bar-Or, David

    2017-11-01

    To outline differences in neurosurgical intervention (NI) rates between intracranial hemorrhage (ICH) types in mild traumatic brain injuries and help identify which ICH types are most likely to benefit from creation of predictive models for NI. A multicenter retrospective study of adult patients spanning 3 years at 4 U.S. trauma centers was performed. Patients were included if they presented with mild traumatic brain injury (Glasgow Coma Scale score 13-15) with head CT scan positive for ICH. Patients were excluded for skull fractures, "unspecified hemorrhage," or coagulopathy. Primary outcome was NI. Stepwise multivariable logistic regression models were built to analyze the independent association between ICH variables and outcome measures. The study comprised 1876 patients. NI rate was 6.7%. There was a significant difference in rate of NI by ICH type. Subdural hematomas had the highest rate of NI (15.5%) and accounted for 78% of all NIs. Isolated subarachnoid hemorrhages had the lowest, nonzero, NI rate (0.19%). Logistic regression models identified ICH type as the most influential independent variable when examining NI. A model predicting NI for isolated subarachnoid hemorrhages would require 26,928 patients, but a model predicting NI for isolated subdural hematomas would require only 328 patients. This study highlighted disparate NI rates among ICH types in patients with mild traumatic brain injury and identified mild, isolated subdural hematomas as most appropriate for construction of predictive NI models. Increased health care efficiency will be driven by accurate understanding of risk, which can come only from accurate predictive models. Copyright © 2017 Elsevier Inc. All rights reserved.

  13. Predictive Value of Aortic Valve Calcification for Periprocedural Myocardial Injury in Patients Undergoing Percutaneous Coronary Intervention.

    Science.gov (United States)

    Shibata, Yohei; Ishii, Hideki; Suzuki, Susumu; Tanaka, Akihito; Tatami, Yosuke; Harata, Shingo; Ota, Tomoyuki; Shimbo, Yusaku; Takayama, Yohei; Kunimura, Ayako; Hirayama, Kenshi; Harada, Kazuhiro; Osugi, Naohiro; Murohara, Toyoaki

    2017-05-01

    Previous studies have shown that aortic valve calcification (AVC) was associated with cardiovascular events and mortality. On the other hand, periprocedural myocardial injury (PMI) in percutaneous coronary intervention (PCI) is a well-known predictor of subsequent mortality and poor clinical outcomes. The purpose of the study was to assess the hypothesis that the presence of AVC could predict PMI in PCI. This study included 370 patients treated with PCI for stable angina pectoris. AVC was defined as bright echoes >1 mm on one or more cusps of the aortic valve on ultrasound cardiography (UCG). PMI was defined as an increase in high-sensitivity troponin T level of >5 times the upper normal limit (>0.070 ng/ml) at 24 hours after PCI. AVC was detected in 45.9% of the patients (n=170). The incidence of PMI was significantly higher in the patients with AVC than in those without AVC (43.5% vs 21.0%, p<0.001). The presence of AVC independently predicted PMI after adjusting for other significant variables (odds ratio 2.26, 95% confidence interval 1.37-3.74, p=0.002). Other predictors were male sex, age, estimated glomerular filtration rate, and total stent length. Furthermore to predict PMI, adding AVC to the established risk factors significantly improved the area under the receiver operating characteristic curves, from 0.68 to 0.72, of the PMI prediction model (p=0.025). The presence of AVC detected in UCG could predict the incidence of PMI.

  14. Reliability of Early and Final Counts in Cold and Cool Germination Tests for Predicting Maize Seed Vigour

    Directory of Open Access Journals (Sweden)

    Enrico Noli

    2010-10-01

    Full Text Available Cold test (CT is widely used in maize for predicting field performance in early sowing, even though it is rather labour intensive and requires almost two weeks to complete. The objective of this work was to examine alternative procedures to CT suitable for routine testing. Standard germination (SG, CT and cool germination (CG were carried out on 24 maize lots chosen with high (> 85% SG. For the three tests, besides the final count of normal seedlings, early counts of germinated seeds were made. Lots were evaluated in two field trials (six replicates each sowed at a very early and early date. For all the laboratory traits, the differences among lots were significant and attained higher values in the early counts compared to the final ones. Moreover, the correlations were high between early counts performed during the three tests but were in general lower between early and final counts. Early counts showed lower correlations with field performance than the final ones, except for the count at 144 h during CG that attained a correlation level with field emergence (r = 0.81 similar to the final counts of CG and CT. Nonetheless, the evaluation of seedling vigour during the final count of CT showed the highest predictive value of field performance. All the laboratory measures were in close agreement with field performance when the latter was evaluated under less unfavourable conditions.

  15. Prediction of postpercutaneous coronary intervention myocardial infarction: insights from intravascular imaging, coronary flow, and biomarker evaluation.

    Science.gov (United States)

    Hoole, Stephen P; Hernández-Sánchez, Jules; Brown, Adam J; Giblett, Joel P; Bennett, Martin R; West, Nick E J

    2018-05-01

    Percutaneous coronary intervention-induced myocardial infarction (PMI) has prognostic significance. Identifying patients at high risk for PMI is desirable as it may alter strategy and facilitate early preventative therapy. We therefore sought to establish whether preprocedural demographic, interventional (plaque characteristics and coronary microcirculatory function), and inflammatory, endothelial damage, and platelet-derived biomarker data could predict the risk of PMI. We performed target vessel pressure wire to assess fractional flow reserve, index of microcirculatory resistance (IMR) and coronary flow reserve, plaque characterization by virtual histology intravascular ultrasound, and assayed peripheral biomarkers before uncomplicated PCI in 88 patients. We then analyzed post-PCI cardiac troponin level to adjudicate PMI based on the third universal definition of myocardial infarction. Overall incidence of PMI was 27%. Women [10/15 (66%) vs. 14/73 (19%), PPMI. Preprocedural coronary flow reserve was lower in individuals with a subsequent PMI (1.8±1.2 vs. 2.1±1.3. P=0.03), and patients with higher pre-PCI IMR were more likely to sustain PMI [IMR>22: 10/23 (44%) vs. ≤22: 14/65 (22%), P=0.04], although neither was predictive after multivariate analysis. Plaque characterization by virtual histology intravascular ultrasound did not discriminate those at risk of PMI. However, peripheral venous interleukin (IL)-18 and IL-8 levels were independently negatively and positively associated with PMI, respectively. Women and those with low BMI, particularly when associated with high IL-8 and low IL-18 levels, appear to be at increased risk of PMI.

  16. Prediction of the survival and functional ability of severe stroke patients after ICU therapeutic intervention

    Directory of Open Access Journals (Sweden)

    Aoun-Bacha Zeina

    2008-06-01

    Full Text Available Abstract Background This study evaluated the benefits and impact of ICU therapeutic interventions on the survival and functional ability of severe cerebrovascular accident (CVA patients. Methods Sixty-two ICU patients suffering from severe ischemic/haemorrhagic stroke were evaluated for CVA severity using APACHE II and the Glasgow coma scale (GCS. Survival was determined using Kaplan-Meier survival tables and survival prediction factors were determined by Cox multivariate analysis. Functional ability was assessed using the stroke impact scale (SIS-16 and Karnofsky score. Risk factors, life support techniques and neurosurgical interventions were recorded. One year post-CVA dependency was investigated using multivariate analysis based on linear regression. Results The study cohort constituted 6% of all CVA (37.8% haemorrhagic/62.2% ischemic admissions. Patient mean(SD age was 65.8(12.3 years with a 1:1 male: female ratio. During the study period 16 patients had died within the ICU and seven in the year following hospital release. The mean(SD APACHE II score at hospital admission was 14.9(6.0 and ICU mean duration of stay was 11.2(15.4 days. Mechanical ventilation was required in 37.1% of cases. Risk ratios were; GCS at admission 0.8(0.14, (p = 0.024, APACHE II 1.11(0.11, (p = 0.05 and duration of mechanical ventilation 1.07(0.07, (p = 0.046. Linear coefficients were: type of CVA – haemorrhagic versus ischemic: -18.95(4.58 (p = 0.007, GCS at hospital admission: -6.83(1.08, (p = 0.001, and duration of hospital stay -0.38(0.14, (p = 0.40. Conclusion To ensure a better prognosis CVA patients require ICU therapeutic interventions. However, as we have shown, where tests can determine the worst affected patients with a poor vital and functional outcome should treatment be withheld?

  17. ADVANCIS Score Predicts Acute Kidney Injury After Percutaneous Coronary Intervention for Acute Coronary Syndrome.

    Science.gov (United States)

    Fan, Pei-Chun; Chen, Tien-Hsing; Lee, Cheng-Chia; Tsai, Tsung-Yu; Chen, Yung-Chang; Chang, Chih-Hsiang

    2018-01-01

    Acute kidney injury (AKI), a common and crucial complication of acute coronary syndrome (ACS) after receiving percutaneous coronary intervention (PCI), is associated with increased mortality and adverse outcomes. This study aimed to develop and validate a risk prediction model for incident AKI after PCI for ACS. We included 82,186 patients admitted for ACS and receiving PCI between 1997 and 2011 from the Taiwan National Health Insurance Research Database and randomly divided them into a training cohort (n = 57,630) and validation cohort (n = 24,656) for risk model development and validation, respectively. Risk factor analysis revealed that age, diabetes mellitus, ventilator use, prior AKI, number of intervened vessels, chronic kidney disease (CKD), intra-aortic balloon pump (IABP) use, cardiogenic shock, female sex, prior stroke, peripheral arterial disease, hypertension, and heart failure were significant risk factors for incident AKI after PCI for ACS. The reduced model, ADVANCIS, comprised 8 clinical parameters (age, diabetes mellitus, ventilator use, prior AKI, number of intervened vessels, CKD, IABP use, cardiogenic shock), with a score scale ranging from 0 to 22, and performed comparably with the full model (area under the receiver operating characteristic curve, 87.4% vs 87.9%). An ADVANCIS score of ≥6 was associated with higher in-hospital mortality risk. In conclusion, the ADVANCIS score is a novel, simple, robust tool for predicting the risk of incident AKI after PCI for ACS, and it can aid in risk stratification to monitor patient care.

  18. Sustain talk predicts poorer outcomes among mandated college student drinkers receiving a brief motivational intervention.

    Science.gov (United States)

    Apodaca, Timothy R; Borsari, Brian; Jackson, Kristina M; Magill, Molly; Longabaugh, Richard; Mastroleo, Nadine R; Barnett, Nancy P

    2014-09-01

    Within-session client language that represents a movement toward behavior change (change talk) has been linked to better treatment outcomes in the literature on motivational interviewing (MI). There has been somewhat less study of the impact of client language against change (sustain talk) on outcomes following an MI session. This study examined the role of both client change talk and sustain talk, as well as therapist language, occurring during a brief motivational intervention (BMI) session with college students who had violated college alcohol policy (N = 92). Audiotapes of these sessions were coded using a therapy process coding system. A series of hierarchical regressions were used to examine the relationships among therapist MI-consistent and MI-inconsistent language, client change talk and sustain talk, as well as global measures of relational variables, and drinking outcomes. Contrary to prior research, sustain talk, but not change talk, predicted poorer alcohol use outcomes following the BMI at 3- and 12-month follow-up assessments. Higher levels of client self-exploration during the session also predicted improved drinking outcomes. Therapist measures of MI-consistent and MI-inconsistent language, and global measures of therapist acceptance and MI spirit were unrelated to client drinking outcomes. Results suggest that client sustain talk and self-exploration during the session play an important role in determining drinking outcomes among mandated college students receiving a BMI addressing alcohol use.

  19. Clinical Features That Predict the Need for Operative Intervention in Gluteus Medius Tears.

    Science.gov (United States)

    Chandrasekaran, Sivashankar; Vemula, S Pavan; Gui, Chengcheng; Suarez-Ahedo, Carlos; Lodhia, Parth; Domb, Benjamin G

    2015-02-01

    Gluteus medius tears are a common cause of lateral hip pain. Operative intervention is usually prescribed for patients with pain despite physical therapy and/or peritrochanteric injections. To identify clinical features that predict operative intervention in gluteus medius tears. Case control study; Level of evidence, 3. A matched-pair controlled study was conducted on patients who underwent endoscopic gluteus medius repairs from June 2008 to August 2014 for full-thickness tears. The exclusion criterion was previous hip disorders (eg, Legg-Calve-Perthes disease, avascular necrosis). The control group contained patients with full-thickness gluteus medius tears on magnetic resonance imaging (MRI) who did not require operative intervention. Both groups had a minimum trial of 3 months of nonoperative management. Matching criteria included age within 5 years, sex, and body mass index (BMI) class. The following clinical parameters were analyzed: presence of lateral-sided hip pain, duration of symptoms, power of resisted hip abduction, gait deviation (antalgic or Trendelenburg), greater trochanter tenderness, and hip passive range of abduction. Twenty-four patients who underwent isolated endoscopic gluteus medius repairs were identified; all patients were females, with a mean age of 65 years (range, 52-82 years) and mean BMI of 29.2 kg/m(2) (range, 21.55-44.398 kg/m(2)). The matched control cohort contained 12 females treated nonoperatively for gluteus medius tears with mean age of 66 years (range, 52-81 years) and mean BMI of 29.9 kg/m(2) (range, 20.20-43.59 kg/m(2)). There were significant differences between the groups in power of resisted abduction and presence of gait deviation. The operative cohort had a mean power grading of 3.63 (95% CI, 3.28-3.98) compared with 4.58 (95% CI, 4.29-4.87) for the matched cohort (P gluteus medius tear and gait deviation compared with those without gait deviation. There were no significant differences in the other parameters. Reduced

  20. Final state predictions for J2 gravity perturbed motion of the Earth’s artificial satellites using Bispherical coordinates

    Directory of Open Access Journals (Sweden)

    M.A. Sharaf

    2013-06-01

    Full Text Available In this paper, initial value problem for dynamical astronomy will be established using Bispherical coordinates. A computational algorithm is developed for the final state predictions for J2 gravity perturbed motion of the Earth’s artificial satellites. This algorithm is important in targeting, rendezvous maneuvers as well for scientific researches. The applications of the algorithm are illustrated by numerical examples of some test orbits of different eccentricities. The numerical results are extremely accurate and efficient.

  1. From a state to a trait: Trajectories of state mindfulness in meditation during intervention predict changes in trait mindfulness

    Science.gov (United States)

    Kiken, Laura G.; Garland, Eric L.; Bluth, Karen; Palsson, Olafur S.; Gaylord, Susan A.

    2015-01-01

    Theory suggests that heightening state mindfulness in meditation practice over time increases trait mindfulness, which benefits psychological health. We prospectively examined individual trajectories of state mindfulness in meditation during a mindfulness-based intervention in relation to changes in trait mindfulness and psychological distress. Each week during the eight-week intervention, participants reported their state mindfulness in meditation after a brief mindfulness meditation. Participants also completed pre- and post-intervention measures of trait mindfulness and psychological symptoms. Tests of combined latent growth and path models suggested that individuals varied significantly in their rates of change in state mindfulness in meditation during the intervention, and that these individual trajectories predicted pre-post intervention changes in trait mindfulness and distress. These findings support that increasing state mindfulness over repeated meditation sessions may contribute to a more mindful and less distressed disposition. However, individuals’ trajectories of change may vary and warrant further investigation. PMID:25914434

  2. Traditional finals and OSCEs in predicting consultant and self-reported clinical skills of PRHOs: a pilot study.

    Science.gov (United States)

    Probert, Christopher S; Cahill, David J; McCann, Gemma L; Ben-Shlomo, Yoav

    2003-07-01

    As we move from standard 'long case' final examinations to new objective structured formats, we need to ensure the new is at least as good as the old. Furthermore, knowledge of which examination format best predicts medical student progression and clinical skills development would be of value. A group of medical students sat both the standard long case examination and the new objective structured clinical examination (OSCE) to introduce this latter examination to our Medical School for final MB. At the end of their pre-registration year, the group and their supervising consultants submitted performance evaluation questionnaires. Thirty medical students sat both examinations and 20 returned evaluation questionnaires. Of the 72 consultants approached, 60 (83%) returned completed questionnaires. No correlation existed between self- and consultant reported performance. The traditional finals examination was inversely associated with consultant assessment. Better performing students were not rated as better doctors. The OSCE (and its components) was more consistent and showed positive associations with consultant ratings across the board. Major discrepancies exist between the 2 examination formats, in data interpretation and practical skills, which are explicitly tested in OSCEs but less so in traditional finals. Standardised marking schemes may reduce examiner variability and discretion and weaken correlations across the 2 examinations. This pilot provides empirical evidence that OSCEs assess different clinical domains than do traditional finals. Additionally, OSCEs improve prediction of clinical performance as assessed by independent consultants. Traditional finals and OSCEs correlate poorly with one another. Objective structured clinical examinations appear to correlate well with consultant assessment at the end of the pre-registration house officer year.

  3. Brain Implants for Prediction and Mitigation of Epileptic Seizures - Final CRADA Report

    Energy Technology Data Exchange (ETDEWEB)

    Gopalsami, Nachappa

    2016-09-29

    This is a CRADA final report on C0100901 between Argonne National Laboratory and Flint Hills Scientific, LLC of Lawrence, Kansas. Two brain implantable probes, a surface acoustic wave probe and a miniature cooling probe, were designed, built, and tested with excellent results.

  4. Life prediction methodology for ceramic components of advanced vehicular heat engines: Volume 1. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Khandelwal, P.K.; Provenzano, N.J.; Schneider, W.E. [Allison Engine Co., Indianapolis, IN (United States)

    1996-02-01

    One of the major challenges involved in the use of ceramic materials is ensuring adequate strength and durability. This activity has developed methodology which can be used during the design phase to predict the structural behavior of ceramic components. The effort involved the characterization of injection molded and hot isostatic pressed (HIPed) PY-6 silicon nitride, the development of nondestructive evaluation (NDE) technology, and the development of analytical life prediction methodology. Four failure modes are addressed: fast fracture, slow crack growth, creep, and oxidation. The techniques deal with failures initiating at the surface as well as internal to the component. The life prediction methodology for fast fracture and slow crack growth have been verified using a variety of confirmatory tests. The verification tests were conducted at room and elevated temperatures up to a maximum of 1371 {degrees}C. The tests involved (1) flat circular disks subjected to bending stresses and (2) high speed rotating spin disks. Reasonable correlation was achieved for a variety of test conditions and failure mechanisms. The predictions associated with surface failures proved to be optimistic, requiring re-evaluation of the components` initial fast fracture strengths. Correlation was achieved for the spin disks which failed in fast fracture from internal flaws. Time dependent elevated temperature slow crack growth spin disk failures were also successfully predicted.

  5. Predictive Ability of the SVS WIfI Classification System Following Infrapopliteal Endovascular Interventions for CLI

    Science.gov (United States)

    Darling, Jeremy D.; McCallum, John C.; Soden, Peter A.; Meng, Yifan; Wyers, Mark C.; Hamdan, Allen D.; Verhagen, Hence H.J.; Schermerhorn, Marc L.

    2016-01-01

    OBJECTIVES The Society for Vascular Surgery (SVS) Lower Extremity Guidelines Committee has composed a new threatened lower extremity classification system that reflects the three major factors that impact amputation risk and clinical management: wound, ischemia, and foot infection (WIfI). Our goal was to evaluate the predictive ability of this scale following any infrapopliteal endovascular intervention for critical limb ischemia (CLI). METHODS From 2004 to 2014, a single institution, retrospective chart review was performed at the Beth Israel Deaconess Medical Center for all patients undergoing an infrapopliteal angioplasty for CLI. Throughout these years, 673 limbs underwent an infrapopliteal endovascular intervention for tissue loss (77%), rest pain (13%), stenosis of a previously treated vessel (5%), acute limb ischemia (3%), or claudication (2%). Limbs missing a grade in any WIfI component were excluded. Limbs were stratified into clinical stages 1 to 4 based on the SVS WIfI classification for 1-year amputation risk, as well as a novel WIfI composite score from 0 to 9. Outcomes included patient functional capacity, living status, wound healing, major amputation, major adverse limb events (MALE), RAS events (reintervention, major amputation, or stenosis [>3.5x step-up by duplex]), amputation-free survival (AFS), and mortality. Predictors were identified using Kaplan-Meier survival estimates and Cox regression models. RESULTS Of the 596 limbs with CLI, 551 were classified in all three WIfI domains on a scale of 0 (least severe) to 3 (most severe). Of these 551, 84% were treated for tissue loss and 16% for rest pain. A Cox regression model illustrated that an increase in clinical stage increases the rate of major amputation (Hazard Ratio (HR), 1.6; 95% Confidence Interval [CI], 1.1–2.3). Separate regression models showed that a one-unit increase in the WIfI composite score is associated with a decrease in wound healing (1.2 [1.1–1.4]) and an increase in the

  6. Predictability and Diagnosis of Low Frequency Climate Processes in the Pacific, Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Niklas Schneider

    2009-06-17

    The report summarized recent findings with respect to Predictability and Diagnosis of Low Frequency Climate Processes in the Pacific, with focus on the dynamics of the Pacific Decadal Oscillation, oceanic adjustments and the coupled feedback in the western boundary current of the North and South Pacific, decadal dynamics of oceanic salinity, and tropical processes with emphasis on the Indonesian Throughflow.

  7. Mathematical approaches for complexity/predictivity trade-offs in complex system models : LDRD final report.

    Energy Technology Data Exchange (ETDEWEB)

    Goldsby, Michael E.; Mayo, Jackson R.; Bhattacharyya, Arnab (Massachusetts Institute of Technology, Cambridge, MA); Armstrong, Robert C.; Vanderveen, Keith

    2008-09-01

    The goal of this research was to examine foundational methods, both computational and theoretical, that can improve the veracity of entity-based complex system models and increase confidence in their predictions for emergent behavior. The strategy was to seek insight and guidance from simplified yet realistic models, such as cellular automata and Boolean networks, whose properties can be generalized to production entity-based simulations. We have explored the usefulness of renormalization-group methods for finding reduced models of such idealized complex systems. We have prototyped representative models that are both tractable and relevant to Sandia mission applications, and quantified the effect of computational renormalization on the predictive accuracy of these models, finding good predictivity from renormalized versions of cellular automata and Boolean networks. Furthermore, we have theoretically analyzed the robustness properties of certain Boolean networks, relevant for characterizing organic behavior, and obtained precise mathematical constraints on systems that are robust to failures. In combination, our results provide important guidance for more rigorous construction of entity-based models, which currently are often devised in an ad-hoc manner. Our results can also help in designing complex systems with the goal of predictable behavior, e.g., for cybersecurity.

  8. Predicting bipolar disorder on the basis of phenomenology: implications for prevention and early intervention.

    Science.gov (United States)

    Malhi, Gin S; Bargh, Danielle M; Coulston, Carissa M; Das, Pritha; Berk, Michael

    2014-08-01

    Bipolar disorder is a multifaceted illness and there is often a substantial delay between the first onset of symptoms and diagnosis. Early detection has the potential to curtail illness progression and disorder-associated burden but it requires a clear understanding of the initial bipolar prodrome. This article summarizes the phenomenology of bipolar disorder with an emphasis on the initial prodrome, the evolution of the illness, and the implications for prevention and early intervention. A literature review was undertaken using Medline, Web of Science, and a hand search of relevant literature using keywords (e.g., phenomenology, initial or early symptoms, risk factors, and predictors/prediction). Findings from the literature were reviewed and synthesized and have been put into a clinical context. Bipolar disorder is a recurrent, persistent, and disabling illness that typically develops in adolescence or early adulthood. The literature search yielded 28 articles, in which mood lability, nonspecific, non-mood symptoms, and cyclothymic temperament were the most cited prodromal features. A small number of key prospective studies have provided evidence in support of an initial bipolar prodrome; however, methodological differences across studies have prohibited its clear delineation. It is, therefore, not currently possible to anticipate those who will develop bipolar disorder solely on the basis of early phenomenology. Accurate characterization of the bipolar disorder prodrome through high-quality, prospective research studies with adequate control groups will ultimately facilitate prompt and accurate diagnosis. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  9. Traditional clinical risk factors predict clopidogrel hypo-responsiveness in unselected patients undergoing non-emergent percutaneous coronary intervention

    DEFF Research Database (Denmark)

    Ratcovich, Hanna; Holmvang, Lene; Johansson, Pär Inge

    2016-01-01

    High and low platelet reactivity, HPR and LPR respectively, to clopidogrel and aspirin have previously been associated with adverse events following percutaneous coronary intervention (PCI). The aim is to test the ability of a previously developed clinical risk-score, the PREDICT score, to identi...

  10. A predictive mathematical model for the calculation of the final mass of Graves' disease thyroids treated with 131I

    Science.gov (United States)

    Traino, Antonio C.; Di Martino, Fabio; Grosso, Mariano; Monzani, Fabio; Dardano, Angela; Caraccio, Nadia; Mariani, Giuliano; Lazzeri, Mauro

    2005-05-01

    Substantial reductions in thyroid volume (up to 70-80%) after radioiodine therapy of Graves' hyperthyroidism are common and have been reported in the literature. A relationship between thyroid volume reduction and outcome of 131I therapy of Graves' disease has been reported by some authors. This important result could be used to decide individually the optimal radioiodine activity A0 (MBq) to administer to the patient, but a predictive model relating the change in gland volume to A0 is required. Recently, a mathematical model of thyroid mass reduction during the clearance phase (30-35 days) after 131I administration to patients with Graves' disease has been published and used as the basis for prescribing the therapeutic thyroid absorbed dose. It is well known that the thyroid volume reduction goes on until 1 year after therapy. In this paper, a mathematical model to predict the final mass of Graves' diseased thyroids submitted to 131I therapy is presented. This model represents a tentative explanation of what occurs macroscopically after the end of the clearance phase of radioiodine in the gland (the so-called second-order effects). It is shown that the final thyroid mass depends on its basal mass, on the radiation dose absorbed by the gland and on a constant value α typical of thyroid tissue. α has been evaluated based on a set of measurements made in 15 reference patients affected by Graves' disease and submitted to 131I therapy. A predictive equation for the calculation of the final mass of thyroid is presented. It is based on macroscopic parameters measurable after a diagnostic 131I capsule administration (0.37-1.85 MBq), before giving the therapy. The final mass calculated using this equation is compared to the final mass of thyroid measured 1 year after therapy administration in 22 Graves' diseased patients. The final masses calculated and measured 1 year after therapy are in fairly good agreement (R = 0.81). The possibility, for the physician, to decide a

  11. A predictive mathematical model for the calculation of the final mass of Graves' disease thyroids treated with 131I

    International Nuclear Information System (INIS)

    Traino, Antonio C; Martino, Fabio Di; Grosso, Mariano; Monzani, Fabio; Dardano, Angela; Caraccio, Nadia; Mariani, Giuliano; Lazzeri, Mauro

    2005-01-01

    Substantial reductions in thyroid volume (up to 70-80%) after radioiodine therapy of Graves' hyperthyroidism are common and have been reported in the literature. A relationship between thyroid volume reduction and outcome of 131 I therapy of Graves' disease has been reported by some authors. This important result could be used to decide individually the optimal radioiodine activity A 0 (MBq) to administer to the patient, but a predictive model relating the change in gland volume to A 0 is required. Recently, a mathematical model of thyroid mass reduction during the clearance phase (30-35 days) after 131 I administration to patients with Graves' disease has been published and used as the basis for prescribing the therapeutic thyroid absorbed dose. It is well known that the thyroid volume reduction goes on until 1 year after therapy. In this paper, a mathematical model to predict the final mass of Graves' diseased thyroids submitted to 131 I therapy is presented. This model represents a tentative explanation of what occurs macroscopically after the end of the clearance phase of radioiodine in the gland (the so-called second-order effects). It is shown that the final thyroid mass depends on its basal mass, on the radiation dose absorbed by the gland and on a constant value α typical of thyroid tissue. α has been evaluated based on a set of measurements made in 15 reference patients affected by Graves' disease and submitted to 131 I therapy. A predictive equation for the calculation of the final mass of thyroid is presented. It is based on macroscopic parameters measurable after a diagnostic 131 I capsule administration (0.37-1.85 MBq), before giving the therapy. The final mass calculated using this equation is compared to the final mass of thyroid measured 1 year after therapy administration in 22 Graves' diseased patients. The final masses calculated and measured 1 year after therapy are in fairly good agreement (R = 0.81). The possibility, for the physician, to

  12. Measurement and prediction of aromatic solute distribution coefficients for aqueous-organic solvent systems. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, J.R.; Luthy, R.G.

    1984-06-01

    Experimental and modeling activities were performed to assess techniques for measurement and prediction of distribution coefficients for aromatic solutes between water and immiscible organic solvents. Experiments were performed to measure distribution coefficients in both clean water and wastewater systems, and to assess treatment of a wastewater by solvent extraction. The theoretical portions of this investigation were directed towards development of techniques for prediction of solute-solvent/water distribution coefficients. Experiments were performed to assess treatment of a phenolic-laden coal conversion wastewater by solvent extraction. The results showed that solvent extraction for recovery of phenolic material offered several wastewater processing advantages. Distribution coefficients were measured in clean water and wastewater systems for aromatic solutes of varying functionality with different solvent types. It was found that distribution coefficients for these compounds in clean water systems were not statistically different from distribution coefficients determined in a complex coal conversion process wastewater. These and other aromatic solute distribution coefficient data were employed for evaluation of modeling techniques for prediction of solute-solvent/water distribution coefficients. Eight solvents were selected in order to represent various chemical classes: toluene and benzene (aromatics), hexane and heptane (alkanes), n-octanol (alcohols), n-butyl acetate (esters), diisopropyl ether (ethers), and methylisobutyl ketone (ketones). The aromatic solutes included: nonpolar compounds such as benzene, toluene and naphthalene, phenolic compounds such as phenol, cresol and catechol, nitrogenous aromatics such as aniline, pyridine and aminonaphthalene, and other aromatic solutes such as naphthol, quinolinol and halogenated compounds. 100 references, 20 figures, 34 tables.

  13. Student-written single-best answer questions predict performance in finals.

    Science.gov (United States)

    Walsh, Jason; Harris, Benjamin; Tayyaba, Saadia; Harris, David; Smith, Phil

    2016-10-01

    Single-best answer (SBA) questions are widely used for assessment in medical schools; however, often clinical staff have neither the time nor the incentive to develop high-quality material for revision purposes. A student-led approach to producing formative SBA questions offers a potential solution. Cardiff University School of Medicine students created a bank of SBA questions through a previously described staged approach, involving student question-writing, peer-review and targeted senior clinician input. We arranged questions into discrete tests and posted these online. Student volunteer performance on these tests from the 2012/13 cohort of final-year medical students was recorded and compared with the performance of these students in medical school finals (knowledge and objective structured clinical examinations, OSCEs). In addition, we compared the performance of students that participated in question-writing groups with the performance of the rest of the cohort on the summative SBA assessment. Often clinical staff have neither the time nor the incentive to develop high-quality material for revision purposes Performance in the end-of-year summative clinical knowledge SBA paper correlated strongly with performance in the formative student-written SBA test (r = ~0.60, p performance in end-of-year SBA examinations, and therefore can provide a potentially valuable revision resource. There is potential for student-written questions to be incorporated into summative examinations. © 2015 John Wiley & Sons Ltd.

  14. Die casting die deflections: Prediction and attenuation. Final report, July 1, 1995--September 30, 1997

    Energy Technology Data Exchange (ETDEWEB)

    Miller, R.A.; Ahuett-Garza, H.; Choudhury, A.K.; Dedhia, S.

    1998-05-01

    This report summarizes two years of research intended to develop methods to model and predict the deflection patterns in die casting dies. No comprehensive analysis of this type had previously been completed. The die casting process is complex and involves numerous mechanical and thermal phenomena that effect the mechanical behavior of the die. A critical activity in this work was sorting out and evaluating the relative contributions of the various mechanisms to die deflections. This evaluation was accomplished through a series of simple engineering analyses based primarily on the order of magnitude of the influence of each load considered on die deflections. A modeling approach incorporating commercially available finite element analysis software was developed and tested. The model evolved by testing simple models against more comprehensive models and against the limited experimental data that is available. The development of the modeling approach lead to consideration of the die casting machine in more detail than was originally anticipated. The machine is critical and cannot be ignored. A simplified model described as a spring/platen model was developed to account for the machine platens, tie bars, and toggles. The characteristics of this model are described and predictions based on this model are compared against full machine models and measured deflections of machine platens. Details of the modeling approach and the various case studies are provided in the report and in several publications that have resulted from the work.

  15. Final Scientific Technical Report: INTEGRATED PREDICTIVE DEMAND RESPONSE CONTROLLER FOR COMMERCIAL BUILDINGS

    Energy Technology Data Exchange (ETDEWEB)

    Wenzel, Mike

    2013-10-14

    This project provides algorithms to perform demand response using the thermal mass of a building. Using the thermal mass of the building is an attractive method for performing demand response because there is no need for capital expenditure. The algorithms rely on the thermal capacitance inherent in the building?s construction materials. A near-optimal ?day ahead? predictive approach is developed that is meant to keep the building?s electrical demand constant during the high cost periods. This type of approach is appropriate for both time-of-use and critical peak pricing utility rate structures. The approach uses the past days data in order to determine the best temperature setpoints for the building during the high price periods on the next day. A second ?model predictive approach? (MPC) uses a thermal model of the building to determine the best temperature for the next sample period. The approach uses constant feedback from the building and is capable of appropriately handling real time pricing. Both approaches are capable of using weather forecasts to improve performance.

  16. Targeted intervention: Computational approaches to elucidate and predict relapse in alcoholism.

    Science.gov (United States)

    Heinz, Andreas; Deserno, Lorenz; Zimmermann, Ulrich S; Smolka, Michael N; Beck, Anne; Schlagenhauf, Florian

    2017-05-01

    Alcohol use disorder (AUD) and addiction in general is characterized by failures of choice resulting in repeated drug intake despite severe negative consequences. Behavioral change is hard to accomplish and relapse after detoxification is common and can be promoted by consumption of small amounts of alcohol as well as exposure to alcohol-associated cues or stress. While those environmental factors contributing to relapse have long been identified, the underlying psychological and neurobiological mechanism on which those factors act are to date incompletely understood. Based on the reinforcing effects of drugs of abuse, animal experiments showed that drug, cue and stress exposure affect Pavlovian and instrumental learning processes, which can increase salience of drug cues and promote habitual drug intake. In humans, computational approaches can help to quantify changes in key learning mechanisms during the development and maintenance of alcohol dependence, e.g. by using sequential decision making in combination with computational modeling to elucidate individual differences in model-free versus more complex, model-based learning strategies and their neurobiological correlates such as prediction error signaling in fronto-striatal circuits. Computational models can also help to explain how alcohol-associated cues trigger relapse: mechanisms such as Pavlovian-to-Instrumental Transfer can quantify to which degree Pavlovian conditioned stimuli can facilitate approach behavior including alcohol seeking and intake. By using generative models of behavioral and neural data, computational approaches can help to quantify individual differences in psychophysiological mechanisms that underlie the development and maintenance of AUD and thus promote targeted intervention. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. Platelet density per monocyte predicts adverse events in patients after percutaneous coronary intervention.

    Science.gov (United States)

    Rutten, Bert; Roest, Mark; McClellan, Elizabeth A; Sels, Jan W; Stubbs, Andrew; Jukema, J Wouter; Doevendans, Pieter A; Waltenberger, Johannes; van Zonneveld, Anton-Jan; Pasterkamp, Gerard; De Groot, Philip G; Hoefer, Imo E

    2016-01-01

    Monocyte recruitment to damaged endothelium is enhanced by platelet binding to monocytes and contributes to vascular repair. Therefore, we studied whether the number of platelets per monocyte affects the recurrence of adverse events in patients after percutaneous coronary intervention (PCI). Platelet-monocytes complexes with high and low median fluorescence intensities (MFI) of the platelet marker CD42b were isolated using cell sorting. Microscopic analysis revealed that a high platelet marker MFI on monocytes corresponded with a high platelet density per monocyte while a low platelet marker MFI corresponded with a low platelet density per monocyte (3.4 ± 0.7 vs 1.4 ± 0.1 platelets per monocyte, P=0.01). Using real-time video microscopy, we observed increased recruitment of high platelet density monocytes to endothelial cells as compared with low platelet density monocytes (P=0.01). Next, we classified PCI scheduled patients (N=263) into groups with high, medium and low platelet densities per monocyte and assessed the recurrence of adverse events. After multivariate adjustment for potential confounders, we observed a 2.5-fold reduction in the recurrence of adverse events in patients with a high platelet density per monocyte as compared with a low platelet density per monocyte [hazard ratio=0.4 (95% confidence interval, 0.2-0.8), P=0.01]. We show that a high platelet density per monocyte increases monocyte recruitment to endothelial cells and predicts a reduction in the recurrence of adverse events in patients after PCI. These findings may imply that a high platelet density per monocyte protects against recurrence of adverse events.

  18. Ability of different screening tools to predict positive effect on nutritional intervention among the elderly in primary health care.

    Science.gov (United States)

    Beck, Anne Marie; Beermann, Tina; Kjær, Stine; Rasmussen, Henrik Højgaard

    2013-01-01

    Routine identification of nutritional risk screening is paramount as the first stage in nutritional treatment of the elderly. The major focus of former validation studies of screening tools has been on the ability to predict undernutrition. The aim of this study was to validate Mini Nutritional Assessment-Short Form (MNA-SF), the Malnutrition Universal Screening Tool (MUST), the Nutritional Risk Screening 2002 (NRS-2002), Body Mass Index (BMI) nutritional intervention among old people in primary health care, in order to evaluate whether they were capable of distinguishing those with a positive benefit from those that showed no benefit of nutritional intervention. The methods used were a literature search; classification of participants with respect to nutritional risk according to the different nutritional screening tools; and validation (i.e., evaluation of whether the different tools were capable of distinguishing those with a positive benefit from those that showed no benefit of nutritional intervention by assessing the positive [PPV] and negative [NPV] predictive values). MNA-SF, NRS-2002, BMI nutritional intervention. The findings should be confirmed in further validation and intervention studies. Copyright © 2013 Elsevier Inc. All rights reserved.

  19. Using Bayesian Belief Network (BBN) modelling for rapid source term prediction. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Knochenhauer, M.; Swaling, V.H.; Dedda, F.D.; Hansson, F.; Sjoekvist, S.; Sunnegaerd, K. [Lloyd' s Register Consulting AB, Sundbyberg (Sweden)

    2013-10-15

    The project presented in this report deals with a number of complex issues related to the development of a tool for rapid source term prediction (RASTEP), based on a plant model represented as a Bayesian belief network (BBN) and a source term module which is used for assigning relevant source terms to BBN end states. Thus, RASTEP uses a BBN to model severe accident progression in a nuclear power plant in combination with pre-calculated source terms (i.e., amount, composition, timing, and release path of released radio-nuclides). The output is a set of possible source terms with associated probabilities. One major issue has been associated with the integration of probabilistic and deterministic analyses are addressed, dealing with the challenge of making the source term determination flexible enough to give reliable and valid output throughout the accident scenario. The potential for connecting RASTEP to a fast running source term prediction code has been explored, as well as alternative ways of improving the deterministic connections of the tool. As part of the investigation, a comparison of two deterministic severe accident analysis codes has been performed. A second important task has been to develop a general method where experts' beliefs can be included in a systematic way when defining the conditional probability tables (CPTs) in the BBN. The proposed method includes expert judgement in a systematic way when defining the CPTs of a BBN. Using this iterative method results in a reliable BBN even though expert judgements, with their associated uncertainties, have been used. It also simplifies verification and validation of the considerable amounts of quantitative data included in a BBN. (Author)

  20. Using Bayesian Belief Network (BBN) modelling for rapid source term prediction. Final report

    International Nuclear Information System (INIS)

    Knochenhauer, M.; Swaling, V.H.; Dedda, F.D.; Hansson, F.; Sjoekvist, S.; Sunnegaerd, K.

    2013-10-01

    The project presented in this report deals with a number of complex issues related to the development of a tool for rapid source term prediction (RASTEP), based on a plant model represented as a Bayesian belief network (BBN) and a source term module which is used for assigning relevant source terms to BBN end states. Thus, RASTEP uses a BBN to model severe accident progression in a nuclear power plant in combination with pre-calculated source terms (i.e., amount, composition, timing, and release path of released radio-nuclides). The output is a set of possible source terms with associated probabilities. One major issue has been associated with the integration of probabilistic and deterministic analyses are addressed, dealing with the challenge of making the source term determination flexible enough to give reliable and valid output throughout the accident scenario. The potential for connecting RASTEP to a fast running source term prediction code has been explored, as well as alternative ways of improving the deterministic connections of the tool. As part of the investigation, a comparison of two deterministic severe accident analysis codes has been performed. A second important task has been to develop a general method where experts' beliefs can be included in a systematic way when defining the conditional probability tables (CPTs) in the BBN. The proposed method includes expert judgement in a systematic way when defining the CPTs of a BBN. Using this iterative method results in a reliable BBN even though expert judgements, with their associated uncertainties, have been used. It also simplifies verification and validation of the considerable amounts of quantitative data included in a BBN. (Author)

  1. Effect of intravenous streptokinase on the relation between initial ST-predicted size and final QRS-estimated size of acute myocardial infarcts

    DEFF Research Database (Denmark)

    Clemmensen, P; Grande, P; Saunamäki, K

    1990-01-01

    who did not receive streptokinase as a control group. Final myocardial infarct size, which was estimated from the QRS score, was predicted from the admission standard ECG by previously developed formulas based on ST segment elevation. In the 40 control patients there was no change from ST......-predicted to final QRS-estimated infarct size (median 17.7% versus 18.3%; p = NS). In the 33 patients in the streptokinase group, there was a highly significant decrease from predicted to final myocardial infarct size (median 21.9% versus 16.2%; p less than 0.0002). This decrease was found for both anterior (median...

  2. Worksite interventions for preventing physical deterioration among employees in job-groups with high physical work demands: background, design and conceptual model of FINALE

    DEFF Research Database (Denmark)

    Holtermann, Andreas; Jørgensen, Marie B; Gram, Bibi

    2010-01-01

    A mismatch between individual physical capacities and physical work demands enhance the risk for musculoskeletal disorders, poor work ability and sickness absence, termed physical deterioration. However, effective intervention strategies for preventing physical deterioration in job groups with high...... physical demands remains to be established. This paper describes the background, design and conceptual model of the FINALE programme, a framework for health promoting interventions at 4 Danish job groups (i.e. cleaners, health-care workers, construction workers and industrial workers) characterized by high...

  3. Predictive Model and Methodology for Heat Treatment Distortion Final Report CRADA No. TC-298-92

    Energy Technology Data Exchange (ETDEWEB)

    Nikkel, D. J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); McCabe, J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2017-10-16

    This project was a multi-lab, multi-partner CRADA involving LLNL, Los Alamos National Laboratory, Sandia National Laboratories, Oak Ridge National Laboratory, Martin Marietta Energy Systems and the industrial partner, The National Center of Manufacturing Sciences (NCMS). A number of member companies of NCMS participated including General Motors Corporation, Ford Motor Company, The Torrington Company, Gear Research, the Illinois Institute of Technology Research Institute, and Deformation Control Technology •. LLNL was the lead laboratory for metrology technology used for validation of the computational tool/methodology. LLNL was also the lead laboratory for the development of the software user interface , for the computational tool. This report focuses on the participation of LLNL and NCMS. The purpose of the project was to develop a computational tool/methodology that engineers would use to predict the effects of heat treatment on the _size and shape of industrial parts made of quench hardenable alloys. Initially, the target application of the tool was gears for automotive power trains.

  4. Predicting Coupled Ocean-Atmosphere Modes with a Climate Modeling Hierarchy -- Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Michael Ghil, UCLA; Andrew W. Robertson, IRI, Columbia Univ.; Sergey Kravtsov, U. of Wisconsin, Milwaukee; Padhraic Smyth, UC Irvine

    2006-08-04

    The goal of the project was to determine midlatitude climate predictability associated with tropical-extratropical interactions on interannual-to-interdecadal time scales. Our strategy was to develop and test a hierarchy of climate models, bringing together large GCM-based climate models with simple fluid-dynamical coupled ocean-ice-atmosphere models, through the use of advanced probabilistic network (PN) models. PN models were used to develop a new diagnostic methodology for analyzing coupled ocean-atmosphere interactions in large climate simulations made with the NCAR Parallel Climate Model (PCM), and to make these tools user-friendly and available to other researchers. We focused on interactions between the tropics and extratropics through atmospheric teleconnections (the Hadley cell, Rossby waves and nonlinear circulation regimes) over both the North Atlantic and North Pacific, and the ocean’s thermohaline circulation (THC) in the Atlantic. We tested the hypothesis that variations in the strength of the THC alter sea surface temperatures in the tropical Atlantic, and that the latter influence the atmosphere in high latitudes through an atmospheric teleconnection, feeding back onto the THC. The PN model framework was used to mediate between the understanding gained with simplified primitive equations models and multi-century simulations made with the PCM. The project team is interdisciplinary and built on an existing synergy between atmospheric and ocean scientists at UCLA, computer scientists at UCI, and climate researchers at the IRI.

  5. NERI PROJECT 99-119. TASK 2. DATA-DRIVEN PREDICTION OF PROCESS VARIABLES. FINAL REPORT

    Energy Technology Data Exchange (ETDEWEB)

    Upadhyaya, B.R.

    2003-04-10

    This report describes the detailed results for task 2 of DOE-NERI project number 99-119 entitled ''Automatic Development of Highly Reliable Control Architecture for Future Nuclear Power Plants''. This project is a collaboration effort between the Oak Ridge National Laboratory (ORNL,) The University of Tennessee, Knoxville (UTK) and the North Carolina State University (NCSU). UTK is the lead organization for Task 2 under contract number DE-FG03-99SF21906. Under task 2 we completed the development of data-driven models for the characterization of sub-system dynamics for predicting state variables, control functions, and expected control actions. We have also developed the ''Principal Component Analysis (PCA)'' approach for mapping system measurements, and a nonlinear system modeling approach called the ''Group Method of Data Handling (GMDH)'' with rational functions, and includes temporal data information for transient characterization. The majority of the results are presented in detailed reports for Phases 1 through 3 of our research, which are attached to this report.

  6. Medical students’ logbook case loads do not predict final exam scores in surgery clerkship

    Directory of Open Access Journals (Sweden)

    Alabbad J

    2018-04-01

    Full Text Available Jasim Alabbad,1,2 Fawaz Abdul Raheem,2 Ahmad Almusaileem,1 Sulaiman Almusaileem,1 Saba Alsaddah,2 Abdulaziz Almubarak2 1Department of Surgery, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait; 2Department of Surgery, Mubarak Al-Kabeer Hospital, Jabriya, Kuwait Purpose: To investigate the reliability of medical student logbook data in assessing student performance and predicting outcomes in an objective standardized clinical exam and a multiple-choice exam during surgery rotation. In addition, we examined the relationship between exam performance and the number of clinical tutors per student.Materials and methods: A retrospective review of the logbooks of first and third clinical year medical students at the Faculty of Medicine, Kuwait University, was undertaken during their surgery rotation during the academic year 2012–2013.Results: Logbooks of 184 students were reviewed and analyzed. There were 92 and 93 students in the first and third clinical years, respectively. We did not identify any correlation between the number of clinical encounters and clinical exam or multiple-choice exam scores; however, there was an inverse relationship between the number of clinical tutors encountered during a rotation and clinical exam scores.Conclusion: Overall, there was no correlation between the volume of self-reported clinical encounters and exam scores. Furthermore, an inverse correlation between the number of clinical tutors encountered and clinical exam scores was detected. These findings indicate a need for reevaluation of the way logbook data are entered and used as an assessment tool. Keywords: OSCE, assessment, Kuwait, universities, rotation

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

    Science.gov (United States)

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

    2012-12-12

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

  8. Understanding and predicting metallic whisker growth and its effects on reliability : LDRD final report.

    Energy Technology Data Exchange (ETDEWEB)

    Michael, Joseph Richard; Grant, Richard P.; Rodriguez, Mark Andrew; Pillars, Jamin; Susan, Donald Francis; McKenzie, Bonnie Beth; Yelton, William Graham

    2012-01-01

    review of previous literature on Sn whisker crystallography. The overall texture of the Sn films was also analyzed by EBSD. Finally, a short Appendix is included at the end of this report, in which the X-Ray diffraction (XRD) results are discussed and compared to the EBSD analyses of the overall textures of the Sn films. Sections 2, 3, and 4 have been or will be submitted as stand-alone papers in peer-reviewed technical journals. A bibliography of recent Sandia Sn whisker publications and presentations is included at the end of the report.

  9. Performance Prediction for Large-Scale Nuclear Waste Repositories: Final Report

    International Nuclear Information System (INIS)

    Glassley, W E; Nitao, J J; Grant, W; Boulos, T N; Gokoffski, M O; Johnson, J W; Kercher, J R; Levatin, J A; Steefel, C I

    2001-01-01

    The goal of this project was development of a software package capable of utilizing terascale computational platforms for solving subsurface flow and transport problems important for disposal of high level nuclear waste materials, as well as for DOE-complex clean-up and stewardship efforts. We sought to develop a tool that would diminish reliance on abstracted models, and realistically represent the coupling between subsurface fluid flow, thermal effects and chemical reactions that both modify the physical framework of the rock materials and which change the rock mineralogy and chemistry of the migrating fluid. Providing such a capability would enhance realism in models and increase confidence in long-term predictions of performance. Achieving this goal also allows more cost-effective design and execution of monitoring programs needed to evaluate model results. This goal was successfully accomplished through the development of a new simulation tool (NUFT-C). This capability allows high resolution modeling of complex coupled thermal-hydrological-geochemical processes in the saturated and unsaturated zones of the Earth's crust. The code allows consideration of virtually an unlimited number of chemical species and minerals in a multi-phase, non-isothermal environment. Because the code is constructed to utilize the computational power of the tera-scale IBM ASCI computers, simulations that encompass large rock volumes and complex chemical systems can now be done without sacrificing spatial or temporal resolution. The code is capable of doing one-, two-, and three-dimensional simulations, allowing unprecedented evaluation of the evolution of rock properties and mineralogical and chemical change as a function of time. The code has been validated by comparing results of simulations to laboratory-scale experiments, other benchmark codes, field scale experiments, and observations in natural systems. The results of these exercises demonstrate that the physics and chemistry

  10. Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention

    Science.gov (United States)

    Winder, Anthony J.; Siemonsen, Susanne; Flottmann, Fabian; Fiehler, Jens; Forkert, Nils D.

    2017-03-01

    Voxel-based tissue outcome prediction in acute ischemic stroke patients is highly relevant for both clinical routine and research. Previous research has shown that features extracted from baseline multi-parametric MRI datasets have a high predictive value and can be used for the training of classifiers, which can generate tissue outcome predictions for both intravenous and conservative treatments. However, with the recent advent and popularization of intra-arterial thrombectomy treatment, novel research specifically addressing the utility of predictive classi- fiers for thrombectomy intervention is necessary for a holistic understanding of current stroke treatment options. The aim of this work was to develop three clinically viable tissue outcome prediction models using approximate nearest-neighbor, generalized linear model, and random decision forest approaches and to evaluate the accuracy of predicting tissue outcome after intra-arterial treatment. Therefore, the three machine learning models were trained, evaluated, and compared using datasets of 42 acute ischemic stroke patients treated with intra-arterial thrombectomy. Classifier training utilized eight voxel-based features extracted from baseline MRI datasets and five global features. Evaluation of classifier-based predictions was performed via comparison to the known tissue outcome, which was determined in follow-up imaging, using the Dice coefficient and leave-on-patient-out cross validation. The random decision forest prediction model led to the best tissue outcome predictions with a mean Dice coefficient of 0.37. The approximate nearest-neighbor and generalized linear model performed equally suboptimally with average Dice coefficients of 0.28 and 0.27 respectively, suggesting that both non-linearity and machine learning are desirable properties of a classifier well-suited to the intra-arterial tissue outcome prediction problem.

  11. Higher physical fatigue predicts adherence to a 12-week exercise intervention in women with elevated blood pressure.

    Science.gov (United States)

    Sadja, Julie; Tomfohr, Lianne; Jiménez, Jessica A; Edwards, Kate M; Rock, Cheryl L; Calfas, Karen; Mills, Paul J

    2012-03-01

    To investigate predictors of exercise adherence to a 12-week exercise intervention for sedentary women and men with elevated blood pressure (BP). Fifty-one otherwise healthy and unmedicated adults (27 women and 24 men) with elevated BP (≥120/80 mmHg but social support. Regression analysis revealed that mean exercise minutes/week were predicted by higher age (p higher cardiorespiratory fitness (p higher physical fatigue prior to the intervention spent more time exercising during the 12-week intervention than those with lower levels of physical fatigue. This relationship persisted after controlling for age, BMI, cardiorespiratory fitness, level of habitual physical activity prior to the intervention, self-efficacy for exercise habits, and social support (p < .01). The gender by physical fatigue interaction explained 13.9% of the variance in mean minutes exercised/week above and beyond the effects of covariates. Both gender and fatigue should be considered when developing exercise interventions, such that more initial physical fatigue in women is associated with a tendency to devote greater amounts of time to exercising.

  12. Parent attendance and homework adherence predict response to a family-school intervention for children with ADHD.

    Science.gov (United States)

    Clarke, Angela T; Marshall, Stephen A; Mautone, Jennifer A; Soffer, Stephen L; Jones, Heather A; Costigan, Tracy E; Patterson, Anwar; Jawad, Abbas F; Power, Thomas J

    2015-01-01

    This study examined the relative contribution of two dimensions of parent engagement, attendance and homework adherence, to parent and child treatment response and explored whether early engagement was a stronger predictor of outcomes than later engagement. The sample consisted of parents of participants (n = 92; M age = 9.4 years, SD = 1.27; 67% male, 69% White) in a 12-session evidence-based family-school intervention for children with attention-deficit/hyperactivity disorder. Attendance was assessed using clinician records, and homework adherence was measured by rating permanent products. Outcomes included parent and teacher ratings of family involvement in education, parenting practices, and child functioning. Accounting for the contributions of baseline scores and attendance, homework adherence was a significant predictor of parental self-efficacy, the parent-teacher relationship, parenting through positive involvement, and the child's inattention to homework and homework productivity. Accounting for the contribution of baseline scores and homework adherence, attendance was a significant predictor of one outcome, the child's academic productivity. Early homework adherence appeared to be more predictive of outcomes than later adherence, whereas attendance did not predict outcomes during either half of treatment. These results indicate that, even in the context of evidence-based practice, it is the extent to which parents actively engage with treatment, rather than the number of sessions they attend, that is most important in predicting intervention response. Because attendance is limited as an index of engagement and a predictor of outcomes, increased efforts to develop interventions to promote parent adherence to behavioral interventions for children are warranted.

  13. Integration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation

    Directory of Open Access Journals (Sweden)

    You Jin Kim

    2017-03-01

    Full Text Available Various statistical approaches can be applied to integrate traditional and omics biomarkers, allowing the discovery of prognostic markers to classify subjects into poor and good prognosis groups in terms of responses to nutritional interventions. Here, we performed a prototype study to identify metabolites that predict responses to an intervention against oxidative stress and inflammation, using a data set from a randomized controlled trial evaluating Korean black raspberry (KBR in sedentary overweight/obese subjects. First, a linear mixed-effects model analysis with multiple testing correction showed that four-week consumption of KBR significantly changed oxidized glutathione (GSSG, q = 0.027 level, the ratio of reduced glutathione (GSH to GSSG (q = 0.039 in erythrocytes, malondialdehyde (MDA, q = 0.006 and interleukin-6 (q = 0.006 levels in plasma, and seventeen NMR metabolites in urine compared with those in the placebo group. A subsequent generalized linear mixed model analysis showed linear correlations between baseline urinary glycine and N-phenylacetylglycine (PAG and changes in the GSH:GSSG ratio (p = 0.008 and 0.004 as well as between baseline urinary adenine and changes in MDA (p = 0.018. Then, receiver operating characteristic analysis revealed that a two-metabolite set (glycine and PAG had the strongest prognostic relevance for future interventions against oxidative stress (the area under the curve (AUC = 0.778. Leave-one-out cross-validation confirmed the accuracy of prediction (AUC = 0.683. The current findings suggest that a higher level of this two-metabolite set at baseline is useful for predicting responders to dietary interventions in subjects with oxidative stress and inflammation, contributing to the emergence of personalized nutrition.

  14. Predicting final extent of ischemic infarction using artificial neural network analysis of multi-parametric MRI in patients with stroke.

    Directory of Open Access Journals (Sweden)

    Hassan Bagher-Ebadian

    Full Text Available In hemispheric ischemic stroke, the final size of the ischemic lesion is the most important correlate of clinical functional outcome. Using a set of acute-phase MR images (Diffusion-weighted--DWI, T(1-weighted--T1WI, T(2-weighted--T2WI, and proton density weighted--PDWI for inputs, and the chronic T2WI at 3 months as an outcome measure, an Artificial Neural Network (ANN was trained to predict the 3-month outcome in the form of a voxel-by-voxel forecast of the chronic T2WI. The ANN was trained and tested using 12 subjects (with 83 slices and 140218 voxels using a leave-one-out cross-validation method with calculation of the Area Under the Receiver Operator Characteristic Curve (AUROC for training, testing and optimization of the ANN. After training and optimization, the ANN produced maps of predicted outcome that were well correlated (r = 0.80, p<0.0001 with the T2WI at 3 months for all 12 patients. This result implies that the trained ANN can provide an estimate of 3-month ischemic lesion on T2WI in a stable and accurate manner (AUROC = 0.89.

  15. Effect of intravenous streptokinase on the relation between initial ST-predicted size and final QRS-estimated size of acute myocardial infarcts

    DEFF Research Database (Denmark)

    Clemmensen, P; Grande, P; Saunamäki, K

    1990-01-01

    who did not receive streptokinase as a control group. Final myocardial infarct size, which was estimated from the QRS score, was predicted from the admission standard ECG by previously developed formulas based on ST segment elevation. In the 40 control patients there was no change from ST......-predicted to final QRS-estimated infarct size (median 17.7% versus 18.3%; p = NS). In the 33 patients in the streptokinase group, there was a highly significant decrease from predicted to final myocardial infarct size (median 21.9% versus 16.2%; p less than 0.0002). This decrease was found for both anterior (median......Thrombolytic therapy has been documented to reduce acute myocardial infarct size. The previously established relation between initial ST segment elevation and final electrocardiographic (ECG) myocardial infarct size in patients without coronary reperfusion might therefore be altered by thrombolytic...

  16. Worksite interventions for preventing physical deterioration among employees in job-groups with high physical work demands: Background, design and conceptual model of FINALE

    Directory of Open Access Journals (Sweden)

    Mortensen Ole S

    2010-03-01

    Full Text Available Abstract Background A mismatch between individual physical capacities and physical work demands enhance the risk for musculoskeletal disorders, poor work ability and sickness absence, termed physical deterioration. However, effective intervention strategies for preventing physical deterioration in job groups with high physical demands remains to be established. This paper describes the background, design and conceptual model of the FINALE programme, a framework for health promoting interventions at 4 Danish job groups (i.e. cleaners, health-care workers, construction workers and industrial workers characterized by high physical work demands, musculoskeletal disorders, poor work ability and sickness absence. Methods/Design A novel approach of the FINALE programme is that the interventions, i.e. 3 randomized controlled trials (RCT and 1 exploratory case-control study are tailored to the physical work demands, physical capacities and health profile of workers in each job-group. The RCT among cleaners, characterized by repetitive work tasks and musculoskeletal disorders, aims at making the cleaners less susceptible to musculoskeletal disorders by physical coordination training or cognitive behavioral theory based training (CBTr. Because health-care workers are reported to have high prevalence of overweight and heavy lifts, the aim of the RCT is long-term weight-loss by combined physical exercise training, CBTr and diet. Construction work, characterized by heavy lifting, pushing and pulling, the RCT aims at improving physical capacity and promoting musculoskeletal and cardiovascular health. At the industrial work-place characterized by repetitive work tasks, the intervention aims at reducing physical exertion and musculoskeletal disorders by combined physical exercise training, CBTr and participatory ergonomics. The overall aim of the FINALE programme is to improve the safety margin between individual resources (i.e. physical capacities, and

  17. Calcification remodeling index characterized by cardiac CT as A novel parameter to predict the use of rotational atherectomy for coronary intervention of lesions with moderate to severe calcification

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Meng Meng; Li, Yue Hua; Li, Wen Bin; Lu, Zhi Gang; Wei, Meng; Zhang, Jia Yin [Shanghai Jiao Tong University Affiliated Sixth People' s Hospital, Shanghai (China)

    2017-09-15

    To assess the feasibility of calcification characterization by coronary computed tomography angiography (CCTA) to predict the use of rotational atherectomy (RA) for coronary intervention of lesions with moderate to severe calcification. Patients with calcified lesions treated by percutaneous coronary intervention (PCI) who underwent both CCTA and invasive coronary angiography were retrospectively included in this study. Calcification remodeling index was calculated as the ratio of the smallest vessel cross-sectional area of the lesion to the proximal reference luminal area. Other parameters such as calcium volume, regional Agatston score, calcification length, and involved calcium arc quadrant were also recorded. A total of 223 patients with 241 calcified lesions were finally included. Lesions with RA tended to have larger calcium volume, higher regional Agatston score, more involved calcium arc quadrants, and significantly smaller calcification remodeling index than lesions without RA. Receiver operating characteristic curve analysis revealed that the best cutoff value of calcification remodeling index was 0.84 (area under curve = 0.847, p < 0.001). Calcification remodeling index ≤ 0.84 was the strongest independent predictor (odds ratio: 251.47, p < 0.001) for using RA. Calcification remodeling index was significantly correlated with the incidence of using RA to aid PCI. Calcification remodeling index ≤ 0.84 was the strongest independent predictor for using RA prior to stent implantation.

  18. Factors Predicting Sustainability of the Schoolwide Positive Behavior Intervention Support Model

    Science.gov (United States)

    Chitiyo, Jonathan; May, Michael E.

    2018-01-01

    The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…

  19. The Infant Care Project: A Mother-Child Intervention Model Directed at Cocaine Use during Pregnancy. Final Report.

    Science.gov (United States)

    O'Donnell, Karen J.; And Others

    This final report discusses the outcomes of the federally funded Infant Care Project (ICP) that provided comprehensive and continuous services to 99 women who had used cocaine during pregnancy and their infants. The ICP model combined high risk obstetric care, infant and child development services, and substance abuse services on site in the…

  20. Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction

    Science.gov (United States)

    Marsch, Lisa A; Brunette, Mary F; Dallery, Jesse

    2017-01-01

    Background Social media technologies offer a novel opportunity for scalable health interventions that can facilitate user engagement and social support, which in turn may reinforce positive processes for behavior change. Objective By using principles from health communication and social support literature, we implemented a Facebook group–based intervention that targeted smoking reduction and cessation. This study hypothesized that participants’ engagement with and perceived social support from our Facebook group intervention would predict smoking reduction. Methods We recruited 16 regular smokers who live in the United States and who were motivated in quitting smoking at screening. We promoted message exposure as well as engagement and social support systems throughout the intervention. For message exposure, we posted prevalidated, antismoking messages (such as national antismoking campaigns) on our smoking reduction and cessation Facebook group. For engagement and social support systems, we delivered a high degree of engagement and social support systems during the second and third week of the intervention and a low degree of engagement and social support systems during the first and fourth week. A total of six surveys were conducted via Amazon Mechanical Turk (MTurk) at baseline on a weekly basis and at a 2-week follow-up. Results Of the total 16 participants, most were female (n=13, 81%), white (n=15, 94%), and between 25 and 50 years of age (mean 34.75, SD 8.15). There was no study attrition throughout the 6-time-point baseline, weekly, and follow-up surveys. We generated Facebook engagement and social support composite scores (mean 19.19, SD 24.35) by combining the number of likes each participant received and the number of comments or wall posts each participant posted on our smoking reduction and cessation Facebook group during the intervention period. The primary outcome was smoking reduction in the past 7 days measured at baseline and at the two

  1. Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction.

    Science.gov (United States)

    Kim, Sunny Jung; Marsch, Lisa A; Brunette, Mary F; Dallery, Jesse

    2017-05-23

    Social media technologies offer a novel opportunity for scalable health interventions that can facilitate user engagement and social support, which in turn may reinforce positive processes for behavior change. By using principles from health communication and social support literature, we implemented a Facebook group-based intervention that targeted smoking reduction and cessation. This study hypothesized that participants' engagement with and perceived social support from our Facebook group intervention would predict smoking reduction. We recruited 16 regular smokers who live in the United States and who were motivated in quitting smoking at screening. We promoted message exposure as well as engagement and social support systems throughout the intervention. For message exposure, we posted prevalidated, antismoking messages (such as national antismoking campaigns) on our smoking reduction and cessation Facebook group. For engagement and social support systems, we delivered a high degree of engagement and social support systems during the second and third week of the intervention and a low degree of engagement and social support systems during the first and fourth week. A total of six surveys were conducted via Amazon Mechanical Turk (MTurk) at baseline on a weekly basis and at a 2-week follow-up. Of the total 16 participants, most were female (n=13, 81%), white (n=15, 94%), and between 25 and 50 years of age (mean 34.75, SD 8.15). There was no study attrition throughout the 6-time-point baseline, weekly, and follow-up surveys. We generated Facebook engagement and social support composite scores (mean 19.19, SD 24.35) by combining the number of likes each participant received and the number of comments or wall posts each participant posted on our smoking reduction and cessation Facebook group during the intervention period. The primary outcome was smoking reduction in the past 7 days measured at baseline and at the two-week follow-up. Compared with the baseline

  2. Validation of a grading system for complicated diverticulitis in the prediction of need for operative or percutaneous intervention

    Science.gov (United States)

    Fung, AKY; Ahmeidat, H; McAteer, D

    2015-01-01

    Introduction The current surgical management of acute complicated diverticulitis has seen a major paradigm shift from routine operative intervention to a more conservative approach. This has been made possible by the widespread availability of computed tomography (CT) to enable stratification of the disease severity of acute complicated diverticulitis. The aim of this study was to retrospectively validate a CT grading system for acute complicated diverticulitis in the prediction of the need for operative or percutaneous intervention. Methods Hospital and radiology records were reviewed to identify patients with acute complicated diverticulitis confirmed by CT. A consultant gastrointestinal radiologist, blinded to the clinical outcomes of patients, assigned a score according to the CT grading system. Results Three hundred and sixty-seven patients (34.6%) had CT performed for acute diverticulitis during the study period. Forty-four patients (12.0%) had acute complicated diverticulitis (abscess and/or free intraperitoneal air) confirmed on CT. There were 22 women (50%) and the overall median age was 59 years (range: 19–92 years). According to the CT findings, there was one case with grade 1, eighteen patients with grade 2, four with grade 3 and twenty-one with grade 4 diverticulitis. Three patients with grade 2, three patients with grade 3 and ten patients with grade 4 disease underwent acute radiological or surgical intervention. Conclusions The use of a CT grading system for acute complicated diverticulitis did not predict the need for acute radiological or operative intervention in this small study. Decision making guided by the patient’s clinical condition still retains a primary role in the management of acute complicated diverticulitis. PMID:26263806

  3. Recruitable collateral blood flow index predicts coronary instent restenosis after percutaneous coronary intervention

    DEFF Research Database (Denmark)

    Jensen, Lisette Okkels; Thayssen, Per; Lassen, Jens Flensted

    2007-01-01

    AIMS: Collateral flow may influence long-term results after percutaneous coronary intervention (PCI) because of haemodynamic forces compete with the antegrade flow through the dilated lesion. The aim of the study was to assess the influence of recruitable collateral blood flow on restenosis......-derived collateral flow index (CFI) was determined as (P(w)-P(cvp))/(P(a)-P(cvp)), where P(w) represents coronary wedge pressure, P(cvp) central venous pressure, and P(a) mean aortic blood pressure. Both were measured during transient coronary occlusion by a balloon inflation of 30 s. Pre-interventional FFR (0.......65 +/- 0.20) correlated inversely with the CFI (0.18 +/- 0.11), r =- 0.356, P /=50% diameter stenosis) was seen in 29.1%. Compared to patients with poorly developed collaterals (CFI collaterals (CFI >/= 0...

  4. Participant adherence indicators predict changes in dietary, physical activity, and clinical outcomes in church-based, diet and supervised physical activity intervention: Delta Body and Soul III

    Science.gov (United States)

    This secondary analysis evaluated the utility of several participant adherence indicators for predicting health outcome changes in a 6-month, church-based, controlled, lifestyle intervention previously proven effective for improving diet quality, physical activity, and blood lipids. Descriptive ind...

  5. Using theory to predict implementation of a physician–pharmacist collaborative intervention within a practice-based research network

    Science.gov (United States)

    DeMik, David E.; Vander Weg, Mark W.; Lundt, Emily S.; Coffey, Christopher S.; Ardery, Gail; Carter, Barry L.

    2013-01-01

    to predict implementation of a similar intervention in offices of physicians never exposed to clinical pharmacy services. PMID:23506651

  6. Improved final predicted height with the injection of leuprolide in children with earlier puberty: A retrospective cohort study.

    Directory of Open Access Journals (Sweden)

    Yi-Chun Lin

    Full Text Available The adult height of children with early onset puberty is limited by the premature maturation of hypothalamic-pituitary-gonadal axis. To evaluate the effects of gonadotropin-releasing hormone analog (GnRHa treatment on the final height (FH and bone maturation rate (BMR in girls with early puberty (EP or idiopathic central precocious puberty (ICPP, we examined data from girls who were diagnosed with EP or ICPP and underwent GnRHa (Leuplin Depot: 3.75 mg/month at China Medical University Hospital, in Taiwan, between 2006 and 2015. Patients were observed until the achievement of FH and divided into an "EP group" (T-ep and "ICPP group" (T-icpp according to the age of onset of puberty. Eighty-seven patients were enrolled (T-ep, N = 44, puberty onset at 8-10 years; T-icpp, N = 43, puberty onset before 8 years. The demographic data of girls with EP or IPP was characterized. BMR, change in predicted final height (PFH after GnRHa treatment, target height (TH and FH were measured. After GnRHa treatment, the study groups (T-ep: 160.24±6.18 cm, T-icpp: 158.99±5.92 cm both had higher PFH than at initiation (T-ep: 159.83±7.19 cm, T-icpp: 158.58±5.93 cm. There was deceleration of BMR in both groups (T-ep: 0.57±0.39; T-icpp: 0.97±0.97 and a significant difference between the groups (p = 0.027. The gap in FH standard deviation scores (SDS and TH SDS had a significant difference in T-ep (p = 0.045 but not in T-icpp. Moreover, there was no difference in the gap of PFH SDS between the 1st and final treatment in both groups. We concluded that GnRHa decelerated BMR in girls with earlier puberty. Further prospective clinical studies are warranted.

  7. Factors predicting the diagnostic yield and intervention in obscure gastrointestinal bleeding investigated using capsule endoscopy.

    Science.gov (United States)

    Sidhu, Reena; Sanders, David S; Kapur, Kapil; Leeds, John S; McAlindon, Mark E

    2009-09-01

    In patients with obscure gastrointestinal bleeding (OGB), capsule endoscopy (CE) is the investigation of choice after negative conventional endoscopy. However, there is paucity of data on which clinical factors predict the ability of CE to detect pathology and alter management. To investigate clinical factors which predict a higher diagnostic yield and a change in management in patients presenting with OGB. Data was collected in patients with OGB for type of OGB [overt (OB) or iron deficiency anaemia (IDA)], co-morbidity, use of anticoagulants, transfusion dependence, subsequent CE diagnosis and follow up data. Factors that predicted a higher yield and a change in management were identified using logistic regression. There were 427 patients (IDA 74%) with a mean age of 58 years (range 17-92).The diagnostic yield was 50% with a change in management in 30% of patients. The commonest finding was angiodysplasia in 52% of patients. There was no significant difference in the diagnostic yield between the two groups (OB: 56%, IDA 48%, p=0.15). On logistic regression, age (p=0.001), the use of warfarin (p=0.02) and liver co-morbidity (p=0.001) were significant factors which predicted a higher yield with CE. Factors which predicted a change in management included the presence of co-morbidity (p=0.02) and having a diagnosis of angiodysplasia on CE (p=0.001). This is a large series of CE in OGB. Increasing age, anti-coagulation and liver co-morbidity are significant predictors of a positive diagnostic yield whilst the presence of co-morbidity or a diagnosis of angiodysplasia may predict a change in management.

  8. Prediction of fruit and vegetable intake from biomarkers using individual participant data of diet-controlled intervention studies

    DEFF Research Database (Denmark)

    Souverein, Olga W; de Vries, Jeanne H M; Freese, Riitta

    2015-01-01

    Fruit and vegetable consumption produces changes in several biomarkers in blood. The present study aimed to examine the dose-response curve between fruit and vegetable consumption and carotenoid (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin), folate and vitamin C...... concentrations. Furthermore, a prediction model of fruit and vegetable intake based on these biomarkers and subject characteristics (i.e. age, sex, BMI and smoking status) was established. Data from twelve diet-controlled intervention studies were obtained to develop a prediction model for fruit and vegetable...... intake (including and excluding fruit and vegetable juices). The study population in the present individual participant data meta-analysis consisted of 526 men and women. Carotenoid, folate and vitamin C concentrations showed a positive relationship with fruit and vegetable intake. Measures...

  9. Early Intervention for Young Children with Attention Deficit Hyperactivity Disorder: Prediction of Academic and Behavioral Outcomes

    Science.gov (United States)

    DuPaul, George J.; Kern, Lee; Caskie, Grace I. L.; Volpe, Robert J.

    2015-01-01

    We examined the degree to which child, family, and treatment variables predicted treatment outcomes for reading and math achievement and oppositional behavior in a sample of 135 young children (105 boys and 30 girls). All of the participants met "Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision"…

  10. Executive Functioning Predicts School Readiness and Success: Implications for Assessment and Intervention

    Science.gov (United States)

    Cantin, Rachelle H.; Mann, Trisha D.; Hund, Alycia M.

    2012-01-01

    In recent years, executive functioning (EF) has received increasing attention from researchers and practitioners focusing on how EF predicts important outcomes such as success at school and in life. For example, EF has been described as the single best predictor of school readiness (Blair & Razza, 2007). Moreover, EF has been implicated in…

  11. Co-occurrence of diabetes and hopelessness predicts adverse prognosis following percutaneous coronary intervention

    DEFF Research Database (Denmark)

    Pedersen, Susanne S.; Denollet, Johan; Erdman, Ruud A M

    2009-01-01

    We examined the impact of co-occurring diabetes and hopelessness on 3-year prognosis in percutaneous coronary intervention patients. Consecutive patients (n = 534) treated with the paclitaxel-eluting stent completed a set of questionnaires at baseline and were followed up for 3-year adverse...... with hopelessness (HR: 3.28; 95% CI: 1.49-7.23) and co-occurring diabetes and hopelessness (HR: 4.89; 95% CI: 1.86-12.85) were at increased risk of 3-year adverse clinical events compared to patients with no risk factors, whereas patients with diabetes were at a clinically relevant but not statistically significant...... risk (HR: 2.40; 95% CI: 0.82-7.01). These results remained, adjusting for baseline characteristics and depressive symptoms. These findings testify to the importance of identifying patients with co-occurring risk factors, as they likely require special management in clinical practice in addition...

  12. Ulcer healing after peripheral intervention-can we predict it before revascularization?

    Science.gov (United States)

    Azuma, Nobuyoshi; Koya, Atsuhiro; Uchida, Daiki; Saito, Yukihiro; Uchida, Hisashi

    2014-01-01

    Complete ulcer healing is one of the most important goals of treatment for critical limb ischemia; however, it is still difficult to inform patients of the time to ulcer healing before performing revascularization. The time to ulcer healing has a great impact on the cost of treatment and patient's quality of life. To predict it, the factors that influence delayed ulcer healing should be explored. According to a review of the literature investigating ulcer healing after revascularization, the influential factors can be classified into 5 categories: (1) systemic factors; (2) clinical state of tissue defect; (3) infection; (4) wound management strategy; and (5) revascularization strategy (endovascular or open repair, the angiosome concept). It is also important to ensure sufficient blood supply to predict ulcer healing probability in the individual patient. Several new methodologies, such as measuring tissue circulation around the tissue defect and intraoperative imaging techniques, have been reported. Because the status of ischemic tissue loss and wound healing ability can affect the decision-making process in selecting the revascularization strategy, understanding the many factors that influence ulcer healing after revascularization is indispensable for physicians performing revascularization. Accumulating ulcer healing data via well-designed clinical research can help to establish a new paradigm for the revascularization strategy from the viewpoint of ulcer healing.

  13. To kiss or not to kiss? Impact of final kissing-balloon inflation on early and long-term results of percutaneous coronary intervention for bifurcation lesions.

    Science.gov (United States)

    Biondi-Zoccai, Giuseppe; Sheiban, Imad; De Servi, Stefano; Tamburino, Corrado; Sangiorgi, Giuseppe; Romagnoli, Enrico

    2014-11-01

    Final kissing-balloon inflation is often recommended for percutaneous coronary intervention (PCI) of bifurcation lesions. However, randomized trials focusing on kissing inflation have not confirmed its beneficial impact. We compared outcomes of kissing inflation for PCI of bifurcation lesions, explicitly stratifying results according to stenting strategy. Patients undergoing bifurcation PCI were retrospectively enrolled. Subjects receiving final kissing inflation were compared with those not undergoing kissing inflation, after stratification for a single-stent technique. The primary end point was the long-term rate of major adverse cardiac events (MACE, i.e., death, myocardial infarction, or target lesion revascularization (TLR)). A total of 4314 patients were included: 1176 (27.3 %) treated with a single stent and kissing inflation, 1637 (37.9 %) with a single stent but no kissing, 1072 (24.8 %) with two stents and kissing, and 429 (9.9 %) with two stents but no kissing. At unadjusted analyses kissing was associated with fewer short-term MACE and deaths in the two-stent group, and with fewer long-term MACE, cardiac deaths, and side-branch TLR in the two-stent group (all P inflation (hazard ratio = 0.52, 95 % confidence interval 0.30–0.90, P = 0.020). Kissing inflation can be avoided in bifurcation lesions uneventfully treated with single-stent PCI. However, final kissing-balloon inflation appears beneficial in reducing the risk of side-branch repeat revascularization after using a two-stent strategy.

  14. Using Thermodynamics to Predict the Outcomes of Nitrate-Based Oil Reservoir Souring Control Interventions

    Directory of Open Access Journals (Sweden)

    Jan Dolfing

    2017-12-01

    Full Text Available Souring is the undesirable production of hydrogen sulfide (H2S in oil reservoirs by sulfate-reducing bacteria (SRB. Souring is a common problem during secondary oil recovery via water flooding, especially when seawater with its high sulfate concentration is introduced. Nitrate injection into these oil reservoirs can prevent and remediate souring by stimulating nitrate-reducing bacteria (NRB. Two conceptually different mechanisms for NRB-facilitated souring control have been proposed: nitrate-sulfate competition for electron donors (oil-derived organics or H2 and nitrate driven sulfide oxidation. Thermodynamics can facilitate predictions about which nitrate-driven mechanism is most likely to occur in different scenarios. From a thermodynamic perspective the question “Which reaction yields more energy, nitrate driven oxidation of sulfide or nitrate driven oxidation of organic compounds?” can be rephrased as: “Is acetate driven sulfate reduction to sulfide exergonic or endergonic?” Our analysis indicates that under conditions encountered in oil fields, sulfate driven oxidation of acetate (or other SRB organic electron donors is always more favorable than sulfide oxidation to sulfate. That predicts that organotrophic NRB that oxidize acetate would outcompete lithotrophic NRB that oxidize sulfide. However, sulfide oxidation to elemental sulfur is different. At low acetate HS− oxidation is more favorable than acetate oxidation. Incomplete oxidation of sulfide to S0 is likely to occur when nitrate levels are low, and is favored by low temperatures; conditions that can be encountered at oil field above-ground facilities where intermediate sulfur compounds like S0 may cause corrosion. These findings have implications for reservoir management strategies and for assessing the success and progress of nitrate-based souring control strategies and the attendant risks of corrosion associated with souring and nitrate injection.

  15. Using Thermodynamics to Predict the Outcomes of Nitrate-Based Oil Reservoir Souring Control Interventions

    Science.gov (United States)

    Dolfing, Jan; Hubert, Casey R. J.

    2017-01-01

    Souring is the undesirable production of hydrogen sulfide (H2S) in oil reservoirs by sulfate-reducing bacteria (SRB). Souring is a common problem during secondary oil recovery via water flooding, especially when seawater with its high sulfate concentration is introduced. Nitrate injection into these oil reservoirs can prevent and remediate souring by stimulating nitrate-reducing bacteria (NRB). Two conceptually different mechanisms for NRB-facilitated souring control have been proposed: nitrate-sulfate competition for electron donors (oil-derived organics or H2) and nitrate driven sulfide oxidation. Thermodynamics can facilitate predictions about which nitrate-driven mechanism is most likely to occur in different scenarios. From a thermodynamic perspective the question “Which reaction yields more energy, nitrate driven oxidation of sulfide or nitrate driven oxidation of organic compounds?” can be rephrased as: “Is acetate driven sulfate reduction to sulfide exergonic or endergonic?” Our analysis indicates that under conditions encountered in oil fields, sulfate driven oxidation of acetate (or other SRB organic electron donors) is always more favorable than sulfide oxidation to sulfate. That predicts that organotrophic NRB that oxidize acetate would outcompete lithotrophic NRB that oxidize sulfide. However, sulfide oxidation to elemental sulfur is different. At low acetate HS− oxidation is more favorable than acetate oxidation. Incomplete oxidation of sulfide to S0 is likely to occur when nitrate levels are low, and is favored by low temperatures; conditions that can be encountered at oil field above-ground facilities where intermediate sulfur compounds like S0 may cause corrosion. These findings have implications for reservoir management strategies and for assessing the success and progress of nitrate-based souring control strategies and the attendant risks of corrosion associated with souring and nitrate injection. PMID:29312252

  16. Distinct lipid profiles predict improved glycemic control in obese, nondiabetic patients after a low-caloric diet intervention

    DEFF Research Database (Denmark)

    Valsesia, Armand; Saris, Wim Hm; Astrup, Arne

    2016-01-01

    BACKGROUND: An aim of weight loss is to reduce the risk of type 2 diabetes (T2D) in obese subjects. However, the relation with long-term glycemic improvement remains unknown. OBJECTIVE: We evaluated the changes in lipid composition during weight loss and their association with long-term glycemic...... improvement. DESIGN: We investigated the plasma lipidome of 383 obese, nondiabetic patients within a randomized, controlled dietary intervention in 8 European countries at baseline, after an 8-wk low-caloric diet (LCD) (800-1000 kcal/d), and after 6 mo of weight maintenance. RESULTS: After weight loss...... and glucose concentrations). Significant differences between the 2 groups were shown in leptin gene expression in adipose tissue biopsies. Significant differences were also observed in weight-related endpoints (body mass index, weight, and fat mass). The lipid signature allowed prediction of which subjects...

  17. Type D personality predicts chronic anxiety following percutaneous coronary intervention in the drug-eluting stent era

    DEFF Research Database (Denmark)

    Spindler, Helle; Pedersen, Susanne S.; Serruys, Patrick W.

    2007-01-01

      Background: Anxiety is an often overlooked risk factor in coronary artery disease (CAD). Hence, little is known about predictors of unremitting chronic anxiety in CAD patients. This study examined whether the distressed personality (Type D) predicts chronic anxiety post percutaneous coronary...... intervention (PCI). Methods: Unselected patients treated with PCI using sirolimus-eluting or bare metal stents as part of the RESEARCH registry, who were anxious 6 months post-PCI, qualified for inclusion. Patients completed the Hospital Anxiety and Depression Scale at 6 and 12 months and the Type D Scale 6...... months post-PCI. Results: Of 167 patients anxious at 6 months, 108 (65%) were still anxious 12 months post-PCI. Significant univariable predictors of chronic anxiety were Type D personality (OR:3.17: 95% CI:1.64-6.14) and sirolimus-eluting stents (OR:0.51; 95% CI:0.27-0.98), with sirolimus-eluting stents...

  18. Toward a better understanding of what makes positive psychology interventions work: predicting happiness and depression from the person × intervention fit in a follow-up after 3.5 years.

    Science.gov (United States)

    Proyer, René T; Wellenzohn, Sara; Gander, Fabian; Ruch, Willibald

    2015-03-01

    Robust evidence exists that positive psychology interventions are effective in enhancing well-being and ameliorating depression. Comparatively little is known about the conditions under which they work best. Models describing characteristics that impact the effectiveness of positive interventions typically contain features of the person, of the activity, and the fit between the two. This study focuses on indicators of the person × intervention fit in predicting happiness and depressive symptoms 3.5 years after completion of the intervention. A sample of 165 women completed measures for happiness and depressive symptoms before and about 3.5 years after completion of a positive intervention (random assignment to one out of nine interventions, which were aggregated for the analyses). Four fit indicators were assessed: Preference; continued practice; effort; and early reactivity. Three out of four person × intervention fit indicators were positively related to happiness or negatively related to depression when controlled for the pretest scores. Together, they explained 6 per cent of the variance in happiness, and 10 per cent of the variance of depressive symptoms. Most tested indicators of a person × intervention fit are robust predictors of happiness and depressive symptoms-even after 3.5 years. They might serve for an early estimation of the effectiveness of a positive intervention. © 2014 The International Association of Applied Psychology.

  19. Best-fitting prediction equations for basal metabolic rate: informing obesity interventions in diverse populations.

    Science.gov (United States)

    Sabounchi, N S; Rahmandad, H; Ammerman, A

    2013-10-01

    Basal metabolic rate (BMR) represents the largest component of total energy expenditure and is a major contributor to energy balance. Therefore, accurately estimating BMR is critical for developing rigorous obesity prevention and control strategies. Over the past several decades, numerous BMR formulas have been developed targeted to different population groups. A comprehensive literature search revealed 248 BMR estimation equations developed using diverse ranges of age, gender, race, fat-free mass, fat mass, height, waist-to-hip ratio, body mass index and weight. A subset of 47 studies included enough detail to allow for development of meta-regression equations. Utilizing these studies, meta-equations were developed targeted to 20 specific population groups. This review provides a comprehensive summary of available BMR equations and an estimate of their accuracy. An accompanying online BMR prediction tool (available at http://www.sdl.ise.vt.edu/tutorials.html) was developed to automatically estimate BMR based on the most appropriate equation after user-entry of individual age, race, gender and weight.

  20. Factors predicting training transfer in health professionals participating in quality improvement educational interventions.

    Science.gov (United States)

    Eid, Ahmed; Quinn, Doris

    2017-01-31

    Predictors of quality improvement (QI) training transfer are needed. This study aimed to identify these predictors among health professionals who participated in a QI training program held at a large hospital in the United States between 2005 and 2014. It also aimed to determine how these predictive factors facilitated or impeded QI training transfer. Following the Success Case Method, we used a screening survey to identify trainees with high and low levels of training transfer. We then conducted semistructured interviews with a sample of the survey respondents to document how training transfer was achieved and how lack of training transfer could be explained. The survey's response rate was 43%, with a Cronbach alpha of 0.89. We then conducted a thematic analysis of the interview transcripts of 16 physicians. The analysis revealed 3 categories of factors influencing the transfer of QI training: trainee characteristics, training course, and work environment. Relevant trainee characteristics included attitude toward change, motivation, mental processing skills, interpersonal skills, and the personality characteristics curiosity, humility, conscientiousness, resilience, wisdom, and positivity. The training project, team-based learning, and lectures were identified as relevant aspects of the training course. Work culture, work relationships, and resources were subthemes of the work environment category. We identified several QI training transfer predictors in our cohort of physicians. We hypothesize that some of these predictors may be more relevant to QI training transfer. Our results will help organizational leaders select trainees who are most likely to transfer QI training and to ensure that their work environments are conducive to QI training transfer.

  1. Qualitative models to predict impacts of human interventions in a wetland ecosystem

    Directory of Open Access Journals (Sweden)

    S. Loiselle

    2002-07-01

    (nutrients and sediment resuspension were observed through model analysis. These models results do not indicate a definite relationship between activity and a possible impact, but a potential impact that can be further studied and modelled. Likewise, the model is not intended to be an end in itself, but as a tool to help focus further ecological study, monitoring and modelling. In the real world of wetland management, it is not always possible to conduct extensive (and expensive analysis of all the principal ecological compartments. In the same manner, the construction of larger and more complex models for resource management usually needs to be focused to those areas most likely to effect resource quality or ecosystem functioning. In this light, the development of qualitative models was considered as a first step to help researchers and decision makers focus their efforts (and economic resources in an intensive ecological sampling programme and the construction of predictive models.

  2. IMPRESS YOUR FRIENDS AND PREDICT THE FINAL SCORE: An analysis of the psychic ability of four target resetting methods used in One-Day International Cricket

    Directory of Open Access Journals (Sweden)

    Barbara J. O'Riley

    2006-12-01

    Full Text Available One-Day cricket's eternal problem is how to fairly account for an interruption that occurs during a team's innings. Several methods have been applied in the past, some more successfully than others. Numerous articles have been written about different target resetting methods applicable in one-day international cricket and how they "favour" one team over another. In this paper we use an alternative approach looking at the psychic ability of four target resetting methods and compare how well they predict the final score based on the present state of the first innings. We attempt to convert each of methods we investigate into a ball-by-ball predictive tool. We introduce a terminal interruption to the first innings at every ball and compute the predicted final score. We ascribe a nominal value to the difference between the final achieved score and the prediction given by each method. We compute our own 'Psychic Metric' to enable a comparison between the four methods. We also develop a computer package to manipulate the data from matches in which the first innings was completed

  3. The impact of real-time and predictive traffic information on travelers' behavior on the I-4 corridor. Final report.

    Science.gov (United States)

    2003-07-01

    Real time and predicted traffic information plays a key role in the successful implementation of advanced traveler information systems (ATIS) and advance traffic management systems (ATMS). Traffic information is essentially valuable to both transport...

  4. Development of standardized component\\0x2010based equipment specifications and transition plan into a predictive maintenance strategy : final report.

    Science.gov (United States)

    2015-12-01

    This project investigated INDOT equipment records and equipment industry standards to produce standard equipment specifications : and a predictive maintenance schedule for the more than 1100 single and tandem axle trucks in use at INDOT. The research...

  5. Bone age estimation and prediction of final height in patients with {beta}-thalassaemia major: a comparison between the two most common methods

    Energy Technology Data Exchange (ETDEWEB)

    Christoforidis, Athanasios; Katzos, George; Athanassiou-Metaxa, Miranda [Aristotle University of Thessaloniki, 1st Paediatric Department, Thessaloniki (Greece); Badouraki, Maria [Ippokratio Hospital, Paediatric Radiology Department, Thessaloniki (Greece)

    2007-12-15

    Thalassaemic patients are in need of frequent assessment of bone age because of growth failure and pubertal disorders. To compare the ''rapid'' Greulich and Pyle (G and P) method with the third edition of the Tanner and Whitehouse (TW3) method for determining skeletal maturity and predicting final height in thalassaemic patients. A total of 191 radiographs from 58 patients (28 male, 30 female) were retrospectively evaluated by two investigators, one for each method. In 47 radiographs from 15 patients having attained their adult height, predicted final height was calculated according to each method. The mean bone ages determined by both the G and P and TW3 methods were lower than mean chronological age, although the differences were not statistically significant (10.04 {+-} 3.69 years and 9.98 {+-} 3.39 years vs. 10.78 {+-} 3.96 years, respectively). Both methods had a tendency to over-estimate final height. Overall, the TW3 method seemed to be more accurate than the G and P method (mean absolute error 3.21 {+-} 2.51 years vs. 3.99 {+-} 2.99 years, respectively, P=0.048). The same method should be used when serial assessments are performed, as both methods provide similarly reliable, although not equivalent, results. The TW3 height prediction method seemed to be more accurate in patients with {beta}-thalassaemia major than the G and P method, albeit with a large confidence interval. (orig.)

  6. Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection.

    Science.gov (United States)

    Attallah, Omneya; Karthikesalingam, Alan; Holt, Peter Je; Thompson, Matthew M; Sayers, Rob; Bown, Matthew J; Choke, Eddie C; Ma, Xianghong

    2017-11-01

    Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data. However, it depends on data replication to handle censoring which leads to unbalanced and biased prediction results especially in highly censored data. Other methods cannot deal with high censoring. Therefore, in this article, a new hybrid feature selection method is proposed which presents a solution to high level censoring. It combines support vector machine, neural network, and K-nearest neighbor classifiers using simple majority voting and a new weighted majority voting method based on survival metric to construct a multiple classifier system. The new hybrid feature selection process uses multiple classifier system as a wrapper method and merges it with iterated feature ranking filter method to further reduce features. Two endovascular aortic repair datasets containing 91% censored patients collected from two centers were used to construct a multicenter study to evaluate the performance of the proposed approach. The results showed the proposed technique outperformed individual classifiers and variable selection methods based on Cox's model such as Akaike and Bayesian information criterions and least absolute shrinkage and selector operator in p values of the log-rank test, sensitivity, and concordance index. This indicates that the proposed classifier is more powerful in correctly predicting the risk of

  7. Applying an Ensemble Classification Tree Approach to the Prediction of Completion of a 12-Step Facilitation Intervention with Stimulant Abusers

    Science.gov (United States)

    Doyle, Suzanne R.; Donovan, Dennis M.

    2014-01-01

    Aims The purpose of this study was to explore the selection of predictor variables in the evaluation of drug treatment completion using an ensemble approach with classification trees. The basic methodology is reviewed and the subagging procedure of random subsampling is applied. Methods Among 234 individuals with stimulant use disorders randomized to a 12-Step facilitative intervention shown to increase stimulant use abstinence, 67.52% were classified as treatment completers. A total of 122 baseline variables were used to identify factors associated with completion. Findings The number of types of self-help activity involvement prior to treatment was the predominant predictor. Other effective predictors included better coping self-efficacy for substance use in high-risk situations, more days of prior meeting attendance, greater acceptance of the Disease model, higher confidence for not resuming use following discharge, lower ASI Drug and Alcohol composite scores, negative urine screens for cocaine or marijuana, and fewer employment problems. Conclusions The application of an ensemble subsampling regression tree method utilizes the fact that classification trees are unstable but, on average, produce an improved prediction of the completion of drug abuse treatment. The results support the notion there are early indicators of treatment completion that may allow for modification of approaches more tailored to fitting the needs of individuals and potentially provide more successful treatment engagement and improved outcomes. PMID:25134038

  8. Participant Adherence Indicators Predict Changes in Blood Pressure, Anthropometric Measures, and Self-Reported Physical Activity in a Lifestyle Intervention: HUB City Steps

    Science.gov (United States)

    Thomson, Jessica L.; Landry, Alicia S.; Zoellner, Jamie M.; Connell, Carol; Madson, Michael B.; Molaison, Elaine Fontenot; Yadrick, Kathy

    2015-01-01

    The objective of this secondary analysis was to evaluate the utility of several participant adherence indicators for predicting changes in clinical, anthropometric, dietary, fitness, and physical activity (PA) outcomes in a lifestyle intervention, HUB City Steps, conducted in a southern, African American cohort in 2010. HUB City Steps was a…

  9. Evaluation of a real-time travel time prediction system in a freeway construction work zone : final report, March 2001.

    Science.gov (United States)

    2001-03-01

    A real-time travel time prediction system (TIPS) was evaluated in a construction work zone. TIPS includes changeable message signs (CMSs) displaying the travel time and distance to the end of the work zone to motorists. The travel times displayed by ...

  10. Final Report Coupling in silico microbial models with reactive transport models to predict the fate of contaminants in the subsurface.

    Energy Technology Data Exchange (ETDEWEB)

    Lovley, Derek R.

    2012-10-31

    This project successfully accomplished its goal of coupling genome-scale metabolic models with hydrological and geochemical models to predict the activity of subsurface microorganisms during uranium bioremediation. Furthermore, it was demonstrated how this modeling approach can be used to develop new strategies to optimize bioremediation. The approach of coupling genome-scale metabolic models with reactive transport modeling is now well enough established that it has been adopted by other DOE investigators studying uranium bioremediation. Furthermore, the basic principles developed during our studies will be applicable to much broader investigations of microbial activities, not only for other types of bioremediation, but microbial metabolism in diversity of environments. This approach has the potential to make an important contribution to predicting the impact of environmental perturbations on the cycling of carbon and other biogeochemical cycles.

  11. Deployable Plume and Aerosol Release Prediction and Tracking System. Nuclear Non-Proliferation Task 1. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Kleppe, John; Norris, William; Etezadi, Mehdi

    2006-07-19

    This contract was awarded in response to a proposal in which a deployable plume and aerosol release prediction and tracking system would be designed, fabricated, and tested. The system would gather real time atmospheric data and input it into a real time atmospheric model that could be used for plume predition and tracking. The system would be able to be quickly deployed by aircraft to points of interest or positioned for deployment by vehicles. The system would provide three dimensional (u, v, and w) wind vector data, inversion height measurements, surface wind information, classical weather station data, and solar radiation. The on-board real time computer model would provide the prediction of the behavior of plumes and released aerosols.

  12. Final technical report. Can microbial functional traits predict the response and resilience of decomposition to global change?

    Energy Technology Data Exchange (ETDEWEB)

    Allison, Steven D. [Univ. of California, Irvine, CA (United States)

    2015-09-24

    The role of specific micro-organisms in the carbon cycle, and their responses to environmental change, are unknown in most ecosystems. This knowledge gap limits scientists’ ability to predict how important ecosystem processes, like soil carbon storage and loss, will change with climate and other environmental factors. The investigators addressed this knowledge gap by transplanting microbial communities from different environments into new environments and measuring the response of community composition and carbon cycling over time. Using state-of-the-art sequencing techniques, computational tools, and nanotechnology, the investigators showed that microbial communities on decomposing plant material shift dramatically with natural and experimentally-imposed drought. Microbial communities also shifted in response to added nitrogen, but the effects were smaller. These changes had implications for carbon cycling, with lower rates of carbon loss under drought conditions, and changes in the efficiency of decomposition with nitrogen addition. Even when transplanted into the same conditions, microbial communities from different environments remained distinct in composition and functioning for up to one year. Changes in functioning were related to differences in enzyme gene content across different microbial groups. Computational approaches developed for this project allowed the conclusions to be tested more broadly in other ecosystems, and new computer models will facilitate the prediction of microbial traits and functioning across environments. The data and models resulting from this project benefit the public by improving the ability to predict how microbial communities and carbon cycling functions respond to climate change, nutrient enrichment, and other large-scale environmental changes.

  13. The effect of adding orbital computed tomography findings to the Chandler criteria for classifying pediatric orbital cellulitis in predicting which patients will require surgical intervention.

    Science.gov (United States)

    Le, Tran D; Liu, Eugene S; Adatia, Feisal A; Buncic, J Raymond; Blaser, Susan

    2014-06-01

    To assess the effect of adding orbital computerized tomography (CT) findings to the Chandler criteria for classifying pediatric orbital cellulitis in predicting which patients will require surgical intervention. The medical records of patients with orbital CT at a tertiary pediatric hospital from January 2000 to March 2011 were reviewed retrospectively. CT images of cases with radiology report of postseptal orbital involvement were further reviewed by a neuroradiologist. Of 101 cases of orbital cellulitis, 71 (mean age, 7.1 ± 4.0) were successfully managed with systemic antibiotics alone; 30 patients (mean age, 7.2 ± 4.3) required surgical intervention. Bony destruction on CT was significantly associated with surgical intervention (P = 0.02), and the size of the subperiosteal abscess (SPA) was significantly correlated with management outcome. Patients who were managed with systemic antibiotics alone had a mean SPA volume of 2.1 ± 2.4 mL; those who had undergone surgical intervention had a mean SPA volume of 14.3 mL ± 16.8 mL (P 3.8 mL, the probability of surgery is 71% (P orbital cellulitis classification scheme increases the ability to more accurately predict which patients will require surgical intervention. Copyright © 2014 American Association for Pediatric Ophthalmology and Strabismus. Published by Mosby, Inc. All rights reserved.

  14. Predicting intention and behaviour following participation in a theory-based intervention to improve gluten free diet adherence in coeliac disease.

    Science.gov (United States)

    Sainsbury, Kirby; Mullan, Barbara; Sharpe, Louise

    2015-01-01

    To determine whether changes in theory of planned behaviour (TPB) constructs could predict intention and gluten-free diet (GFD) adherence following participation in an online theory-based intervention designed to improve adherence in coeliac disease. Theory-based process evaluation of the mechanisms of change over the course of a six-week online intervention. Measures of GFD adherence and TPB variables were administered at baseline and follow-up (immediate post-intervention: n = 74; three-month: n = 68; six-month: n = 65). Hierarchical regression analyses using residualised change scores were conducted at each time point (dependent variables: intention and adherence). Baseline intention and GFD adherence were the strongest predictors of follow-up intention and adherence, respectively. Change in attitude accounted for significant variance in intention. Change in intention accounted for significant variance in GFD adherence immediately post-intervention; by the six-month follow-up change in perceived behavioural control was the stronger predictor. Partial support for the hypotheses suggests that, for certain behaviours, the TPB may be relevant in explaining the mechanism of action responsible for changes in intention and behaviour following participation in a behaviour change intervention. Additional predictive pathways are also likely to exist and, in the area of GFD adherence, may include habit strength and actual behavioural control.

  15. The Systemic Inflammatory Response Syndrome (SIRS)--number and type of positive criteria predict interventions and outcomes in acute surgical admissions.

    Science.gov (United States)

    Stephenson, James A; Gravante, Gianpiero; Butler, Nicholas A; Sorge, Roberto; Sayers, Rob D; Bown, Matt J

    2010-11-01

    Systemic inflammatory response syndrome (SIRS) is a syndrome that reflects the widespread activation of inflammatory pathways. The goal of this study was to find whether the presence or absence of SIRS on emergency surgical admissions is related to the subsequent clinical outcome in terms of in-hospital interventions, length of stay, and mortality. The presence of SIRS at admission, final diagnosis of the underlying disease, treatments, and clinical outcomes were prospectively recorded for 1 month. Comparisons of interventions and outcomes were performed between SIRS+ vs. SIRS- patients. In patients with SIRS, the contribution of each positive criterion was evaluated with regards to mortality. A total of 179 patients were recruited. The prevalence of SIRS at admission was 35.2%. SIRS+ patients required less diagnostic procedures compared with SIRS- (28.6% vs. 34.5%) but had more therapeutic interventions (39.7% vs. 16.4%), surgical interventions (33.3% vs. 3.4%), intensive treatments (11.1% vs. 0.9%; p SIRS+ patients with four positive criteria had more surgical interventions, intensive treatments, and fatal outcomes compared with the others. Of importance the most influent factor was the respiratory rate followed by the white cell count and the heart rate/temperature. Patients with SIRS at admission apparently receive more interventions, have longer length of stay, and increased mortality than those patients without SIRS. These findings require separate validation in a larger cohort study.

  16. Predictive characterization of aging and degradation of reactor materials in extreme environments. Final report, December 20, 2013 - September 20, 2017

    Energy Technology Data Exchange (ETDEWEB)

    Qu, Jianmin [Northwestern Univ., Evanston, IL (United States)

    2017-09-20

    Understanding of reactor material behavior in extreme environments is vital not only to the development of new materials for the next generation nuclear reactors, but also to the extension of the operating lifetimes of the current fleet of nuclear reactors. To this end, this project conducted a suite of unique experimental techniques, augmented by a mesoscale computational framework, to understand and predict the long-term effects of irradiation, temperature, and stress on material microstructures and their macroscopic behavior. The experimental techniques and computational tools were demonstrated on two distinctive types of reactor materials, namely, Zr alloys and high-Cr martensitic steels. These materials are chosen as the test beds because they are the archetypes of high-performance reactor materials (cladding, wrappers, ducts, pressure vessel, piping, etc.). To fill the knowledge gaps, and to meet the technology needs, a suite of innovative in situ transmission electron microscopy (TEM) characterization techniques (heating, heavy ion irradiation, He implantation, quantitative small-scale mechanical testing, and various combinations thereof) were developed and used to elucidate and map the fundamental mechanisms of microstructure evolution in both Zr and Cr alloys for a wide range environmental boundary conditions in the thermal-mechanical-irradiation input space. Knowledge gained from the experimental observations of the active mechanisms and the role of local microstructural defects on the response of the material has been incorporated into a mathematically rigorous and comprehensive three-dimensional mesoscale framework capable of accounting for the compositional variation, microstructural evolution and localized deformation (radiation damage) to predict aging and degradation of key reactor materials operating in extreme environments. Predictions from this mesoscale framework were compared with the in situ TEM observations to validate the model.

  17. Predictive characterization of aging and degradation of reactor materials in extreme environments. Final report, December 20, 2013 - September 20, 2017

    International Nuclear Information System (INIS)

    Qu, Jianmin

    2017-01-01

    Understanding of reactor material behavior in extreme environments is vital not only to the development of new materials for the next generation nuclear reactors, but also to the extension of the operating lifetimes of the current fleet of nuclear reactors. To this end, this project conducted a suite of unique experimental techniques, augmented by a mesoscale computational framework, to understand and predict the long-term effects of irradiation, temperature, and stress on material microstructures and their macroscopic behavior. The experimental techniques and computational tools were demonstrated on two distinctive types of reactor materials, namely, Zr alloys and high-Cr martensitic steels. These materials are chosen as the test beds because they are the archetypes of high-performance reactor materials (cladding, wrappers, ducts, pressure vessel, piping, etc.). To fill the knowledge gaps, and to meet the technology needs, a suite of innovative in situ transmission electron microscopy (TEM) characterization techniques (heating, heavy ion irradiation, He implantation, quantitative small-scale mechanical testing, and various combinations thereof) were developed and used to elucidate and map the fundamental mechanisms of microstructure evolution in both Zr and Cr alloys for a wide range environmental boundary conditions in the thermal-mechanical-irradiation input space. Knowledge gained from the experimental observations of the active mechanisms and the role of local microstructural defects on the response of the material has been incorporated into a mathematically rigorous and comprehensive three-dimensional mesoscale framework capable of accounting for the compositional variation, microstructural evolution and localized deformation (radiation damage) to predict aging and degradation of key reactor materials operating in extreme environments. Predictions from this mesoscale framework were compared with the in situ TEM observations to validate the model.

  18. Kinetic model for predicting the concentrations of active halogens species in chlorinated saline cooling waters. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Haag, W.R.; Lietzke, M.H.

    1981-08-01

    A kinetic model has been developed for describing the speciation of chlorine-produced oxidants in seawater as a function of time. The model is applicable under a broad variety of conditions, including all pH range, salinities, temperatures, ammonia concentrations, organic amine concentrations, and chlorine doses likely to be encountered during power plant cooling water chlorination. However, the effects of sunlight are not considered. The model can also be applied to freshwater and recirculating water systems with cooling towers. The results of the model agree with expectation, however, complete verification is not feasible at the present because analytical methods for some of the predicted species are lacking.

  19. Kinetic model for predicting the concentrations of active halogens species in chlorinated saline cooling waters. Final report

    International Nuclear Information System (INIS)

    Haag, W.R.; Lietzke, M.H.

    1981-08-01

    A kinetic model has been developed for describing the speciation of chlorine-produced oxidants in seawater as a function of time. The model is applicable under a broad variety of conditions, including all pH range, salinities, temperatures, ammonia concentrations, organic amine concentrations, and chlorine doses likely to be encountered during power plant cooling water chlorination. However, the effects of sunlight are not considered. The model can also be applied to freshwater and recirculating water systems with cooling towers. The results of the model agree with expectation, however, complete verification is not feasible at the present because analytical methods for some of the predicted species are lacking

  20. Grade of hypospadias is the only factor predicting for re-intervention after primary hypospadias repair: a multivariate analysis from a cohort of 474 patients.

    Science.gov (United States)

    Spinoit, Anne-Françoise; Poelaert, Filip; Van Praet, Charles; Groen, Luitzen-Albert; Van Laecke, Erik; Hoebeke, Piet

    2015-04-01

    There is an ongoing quest on how to minimize complications in hypospadias surgery. There is however a lack of high-quality data on the following parameters that might influence the outcome of primary hypospadias repair: age at initial surgery, the type of suture material, the initial technique, and the type of hypospadias. The objective of this study was to identify independent predictors for re-intervention in primary hypospadias repair. We retrospectively analyzed our database of 474 children undergoing primary hypospadias surgery. Univariate and multivariate logistic regression was performed to identify variables associated with re-intervention. A p-value hypospadias was reported in 77.2% (n = 366), midpenile in 11.4% (n = 54) and proximal in 11.4% (n = 54) of children. Initial repair was based on an incised plate technique in 39.9% (n = 189), meatal advancement in 36.0% (n = 171), an onlay flap in 17.3% (n = 82) and other or combined techniques in 5.3% (n = 25). In 114 patients (24.1%) re-intervention was required (n = 114) of which 54 re-interventions (47.4%) were performed within the first year post-surgery, 17 (14.9%) in the second year and 43 (37.7%) later than 2 years after initial surgery. The reason for the first re-intervention was fistula in 52 patients (46.4%), meatal stenosis in 32 (28.6%), cosmesis in 35 (31.3%) and other in 14 (12.5%). The median time for re-intervention was 14 months after surgery [range 0-114]. Significant predictors for re-intervention on univariate logistic regression (polyglactin suture material versus poliglecaprone, proximal hypospadias, lower age at operation and other than meatal advancement repair) were put in a multivariate logistic regression model. Of all significant variables, only proximal hypospadias remained an independent predictor for re-intervention (OR 3.27; p = 0.012). The grade of hypospadias remains according to our retrospective analysis the only objective independent predicting factor for re-intervention

  1. Predictive-property-ranked variable reduction in partial least squares modelling with final complexity adapted models: comparison of properties for ranking.

    Science.gov (United States)

    Andries, Jan P M; Vander Heyden, Yvan; Buydens, Lutgarde M C

    2013-01-14

    The calibration performance of partial least squares regression for one response (PLS1) can be improved by eliminating uninformative variables. Many variable-reduction methods are based on so-called predictor-variable properties or predictive properties, which are functions of various PLS-model parameters, and which may change during the steps of the variable-reduction process. Recently, a new predictive-property-ranked variable reduction method with final complexity adapted models, denoted as PPRVR-FCAM or simply FCAM, was introduced. It is a backward variable elimination method applied on the predictive-property-ranked variables. The variable number is first reduced, with constant PLS1 model complexity A, until A variables remain, followed by a further decrease in PLS complexity, allowing the final selection of small numbers of variables. In this study for three data sets the utility and effectiveness of six individual and nine combined predictor-variable properties are investigated, when used in the FCAM method. The individual properties include the absolute value of the PLS1 regression coefficient (REG), the significance of the PLS1 regression coefficient (SIG), the norm of the loading weight (NLW) vector, the variable importance in the projection (VIP), the selectivity ratio (SR), and the squared correlation coefficient of a predictor variable with the response y (COR). The selective and predictive performances of the models resulting from the use of these properties are statistically compared using the one-tailed Wilcoxon signed rank test. The results indicate that the models, resulting from variable reduction with the FCAM method, using individual or combined properties, have similar or better predictive abilities than the full spectrum models. After mean-centring of the data, REG and SIG, provide low numbers of informative variables, with a meaning relevant to the response, and lower than the other individual properties, while the predictive abilities are

  2. High Fidelity, “Faster than Real-Time” Simulator for Predicting Power System Dynamic Behavior - Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Flueck, Alex [Illinois Inst. of Technology, Chicago, IL (United States)

    2017-07-14

    The “High Fidelity, Faster than Real­Time Simulator for Predicting Power System Dynamic Behavior” was designed and developed by Illinois Institute of Technology with critical contributions from Electrocon International, Argonne National Laboratory, Alstom Grid and McCoy Energy. Also essential to the project were our two utility partners: Commonwealth Edison and AltaLink. The project was a success due to several major breakthroughs in the area of large­scale power system dynamics simulation, including (1) a validated faster than real­ time simulation of both stable and unstable transient dynamics in a large­scale positive sequence transmission grid model, (2) a three­phase unbalanced simulation platform for modeling new grid devices, such as independently controlled single­phase static var compensators (SVCs), (3) the world’s first high fidelity three­phase unbalanced dynamics and protection simulator based on Electrocon’s CAPE program, and (4) a first­of­its­ kind implementation of a single­phase induction motor model with stall capability. The simulator results will aid power grid operators in their true time of need, when there is a significant risk of cascading outages. The simulator will accelerate performance and enhance accuracy of dynamics simulations, enabling operators to maintain reliability and steer clear of blackouts. In the long­term, the simulator will form the backbone of the newly conceived hybrid real­time protection and control architecture that will coordinate local controls, wide­area measurements, wide­area controls and advanced real­time prediction capabilities. The nation’s citizens will benefit in several ways, including (1) less down time from power outages due to the faster­than­real­time simulator’s predictive capability, (2) higher levels of reliability due to the detailed dynamics plus protection simulation capability, and (3) more resiliency due to the three­ phase unbalanced simulator’s ability to

  3. From a state to a trait: Trajectories of state mindfulness in meditation during intervention predict changes in trait mindfulness

    OpenAIRE

    Kiken, Laura G.; Garland, Eric L.; Bluth, Karen; Palsson, Olafur S.; Gaylord, Susan A.

    2015-01-01

    Theory suggests that heightening state mindfulness in meditation practice over time increases trait mindfulness, which benefits psychological health. We prospectively examined individual trajectories of state mindfulness in meditation during a mindfulness-based intervention in relation to changes in trait mindfulness and psychological distress. Each week during the eight-week intervention, participants reported their state mindfulness in meditation after a brief mindfulness meditation. Partic...

  4. Quantifying the uncertainty of kinetic-theory predictions of clustering. Final Report covering 21 September 2011 - 20 September 2014

    Energy Technology Data Exchange (ETDEWEB)

    Hrenya, Christine [Univ. of Colorado, Boulder, CO (United States). Chemical and Biological Engineering

    2014-09-20

    Previous work has indicated that inelastic grains undergoing homogeneous cooling may be unstable, giving rise to the formation of velocity vortices and particle clusters for sufficiently large systems. Such instabilities are observed in industrial coal and biomass gasifiers and are known to influence gas-solid contact area, mixing dynamics, and heat/mass transfer rates. However, the driving mechanisms that lead to vortices and clusters are not well understood. Discrete-particle simulations provide a well-established method for understanding such mechanisms but are not a feasible technique for predicting the behavior of large-scale systems. Kinetic-theory-based continuum models offer an effective means of describing such flows, and instabilities present a stringent test of such models due to the transient, three-dimensional nature of instabilities and the large range of time and length scales over which these mechanisms occur.This work begins with the study, via a combination of continuum models and discrete- particle simulations, of a relatively simple flow and includes additional complexities in a stepwise manner to assess various driving mechanisms. Comparisons with discrete-particle simulations, which offer detailed, well-established (but computationally limited) descriptions of particle flows, indicate the ability of continuum models to accurately incorporate each mechanism. Specifically, the critical length scale for velocity vortices and/or particle clusters are studied via direct numerical simulation, molecular dynamics simulations, linear stability analyses of the continuum model, and transient simulations of the continuum model in a range of flow complexities, including moderate dissipation and particle concentration, frictional particles collisions, high gradients, and gas-solid flows. Strong agreement between kinetic-theory-based continuum models and discrete-particle simulations is found for a range for conditions. Furthermore, discrete

  5. Cumulative funnel plots for the early detection of interoperator variation: retrospective database analysis of observed versus predicted results of percutaneous coronary intervention.

    Science.gov (United States)

    Kunadian, Babu; Dunning, Joel; Roberts, Anthony P; Morley, Robert; Twomey, Darragh; Hall, James A; Sutton, Andrew G C; Wright, Robert A; Muir, Douglas F; de Belder, Mark A

    2008-04-26

    To use funnel plots and cumulative funnel plots to compare in-hospital outcome data for operators undertaking percutaneous coronary interventions with predicted results derived from a validated risk score to allow for early detection of variation in performance. Analysis of prospectively collected data. Tertiary centre NHS hospital in the north east of England. Five cardiologists carrying out percutaneous coronary interventions between January 2003 and December 2006. In-hospital major adverse cardiovascular and cerebrovascular events (in-hospital death, Q wave myocardial infarction, emergency coronary artery bypass graft surgery, and cerebrovascular accident) analysed against the logistic north west quality improvement programme predicted risk, for each operator. Results are displayed as funnel plots summarising overall performance for each operator and cumulative funnel plots for an individual operator's performance on a case series basis. The funnel plots for 5198 patients undergoing percutaneous coronary interventions showed an average observed rate for major adverse cardiovascular and cerebrovascular events of 1.96% overall. This was below the predicted risk of 2.06% by the logistic north west quality improvement programme risk score. Rates of in-hospital major adverse cardiovascular and cerebrovascular events for all operators were within the 3sigma upper control limit of 2.75% and 2sigma upper warning limit of 2.49%. The overall in-hospital major adverse cardiovascular and cerebrovascular events rates were under the predicted event rate. In-hospital rates after percutaneous coronary intervention procedure can be monitored successfully using funnel and cumulative funnel plots with 3sigma control limits to display and publish each operator's outcomes. The upper warning limit (2sigma control limit) could be used for internal monitoring. The main advantage of these charts is their transparency, as they show observed and predicted events separately. By this

  6. Intervention principles and levels in the event of a nuclear accident. Final report on the Nordic Nuclear Safety Research Project BER-3

    International Nuclear Information System (INIS)

    Walmod-Larsen, O.

    1994-04-01

    The aim of the Nordic BER-3 project has been to harmonize the Nordic intervention levels after a nuclear accident. The paper deals with the findings and recommendations to be presented to the Nordic authorities as background material for common decisions on the most likely protective actions. In the report sheltering, evaluation and relocation are treated in detail. Iodine prophylaxis and foodstuff restrictions are briefly commented on. The basis for this work is the internationally accepted basic principles for interventions

  7. Value of MDCT and Clinical and Laboratory Data for Predicting the Need for Surgical Intervention in Suspected Small-Bowel Obstruction.

    Science.gov (United States)

    Scrima, Andrew; Lubner, Meghan G; King, Scott; Pankratz, Joshua; Kennedy, Gregory; Pickhardt, Perry J

    2017-04-01

    The purpose of this article is to assess the value of a large panel of clinical and MDCT variables in patients with suspected small-bowel obstruction (SBO) for predicting urgent surgical intervention (data were abstracted from electronic medical record review. Univariate and multivariate analyses were performed. Among all 179 patients with suspected SBO, 56 (31.3%) underwent surgical intervention within 72 hours, 10 (5.6%) had ischemia at surgery, and nine (5.0%) required small-bowel resection. On univariate analysis, multiple CT findings were highly significant (p < 0.01) for predicting the main surgical outcomes, including degree of obstruction, 5-point radiology likelihood scores, and the presence of a transition point, closed loop, and mesenteric congestion. None of the objective clinical or laboratory variables (including serum lactate level) reached this level of significance. At multivariate analysis, forward stepwise logistic regression with 0.05 significance level cutoff included both degree of obstruction (p < 0.001) and closed loop (p < 0.01), with the presence of a transition point showing a trend toward significance (p = 0.081). A number of findings at abdominal MDCT are associated with the need for surgery and other important surgical outcomes in patients with suspected SBO. Overall radiologist impression of need for surgical intervention was a better predictor than any clinical or laboratory parameter.

  8. Low weight gain at the start of a family-based intervention for adolescent girls with restrictive eating disorders predicted emergency hospital admission.

    Science.gov (United States)

    Swenne, Ingemar; Ros, Helena Salonen

    2017-10-01

    This study examined predictors of emergency hospitalisation of adolescent girls with restrictive eating disorders and weight loss treated by a family-based intervention programme. We studied 339 girls aged 10-17 years treated in a specialist unit at Uppsala University Children's Hospital, Sweden, from August 2010 to December 2015. Historical weight data were obtained from school health services, and other weight data were determined at presentation. Weight controlling behaviour was recorded, and patients were evaluated using the Eating Disorder Examination Questionnaire. A family-based intervention started after assessment and the early weight gain after one week, one month and three months was assessed. There were 17 emergency admissions of 15 patients for refusing food, progressive weight loss and medical instability. Logistic regression analysis showed that emergency admissions were predicted by a low body mass index standard deviation score at presentation (odds ratio 2.57), a high rate of weight loss before presentation (odds ratio 4.38) and a low rate of weight gain at the start of treatment (odds ratio 4.59). Poor weight gain at the start of a family-based intervention for adolescent girls with restrictive eating disorders predicted emergency hospital admission. ©2017 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

  9. Modelo preditivo para displasia broncopulmonar ao final da primeira semana de vida Bronchopulmonary dysplasia prediction modelfor 7-day-old infants

    Directory of Open Access Journals (Sweden)

    Carlos A. Bhering

    2007-04-01

    Full Text Available OBJETIVO: Desenvolver um modelo preditivo capaz de identificar, ao final da primeira semana de vida, os recém-nascidos prematuros com maior probabilidade de evoluir para displasia broncopulmonar (DBP. MÉTODOS: Os dados foram coletados retrospectivamente entre janeiro de 1998 e julho de 2001, e prospectivamente de agosto de 2001 a julho de 2003. Foram incluídas todas as crianças nascidas na Instituição, com idade gestacional 2 dias e perda de > 15% do peso de nascimento no sétimo dia de vida. Nos pacientes com todas as variáveis presentes, o modelo permitiu uma probabilidade de acerto de 93,7%. Valores semelhantes foram obtidos com as 61 crianças utilizadas na validação do modelo. CONCLUSÕES O modelo preditivo desenvolvido em nossa população foi capaz de identificar com elevado grau de sensibilidade, ao final da primeira semana de vida, os recém-nascidos sob maior risco de evoluir para DBP.OBJECTIVE: To develop a predictive model capable of identifying which premature infants have the greatest probability of presenting bronchopulmonary dysplasia (BPD, based on assessment at the end of their first week of life. METHODS: Data were collected retrospectively from January 1998 to July 2001, and prospectively from August 2001 to July 2003. All children born at the institution with gestational age 2 days and loss of > 15% of birth weight on the seventh day of life. Where patients exhibited all of these variables, the model had a 93.7% probability of being correct. The model was further validated when using another sample of 61 newborns; similar figures were obtained. CONCLUSIONS: At the end of the first week of life, the predictive model developed from our population was capable of identifying newborn infants at increased risk of developing BPD with a high degree of sensitivity.

  10. An Intervention-Based Model of Student Retention in Adult Learners: Factors Predicting Intention to Consider Leaving or Staying

    Science.gov (United States)

    Mooshegian, Stephanie E.

    2010-01-01

    The current study merges theory and research in higher education and organizational psychology in order to investigate student retention in adult learners. Factors that are associated with student retention were examined and points of intervention are recommended. Specifically, this study focuses on the role of campus environment, classroom…

  11. Using PELA to Predict International Business Students' English Writing Performance with Contextualised English Writing Workshops as Intervention Program

    Science.gov (United States)

    Wong, Caroline; Delante, Nimrod Lawsin; Wang, Pengji

    2017-01-01

    This study examines the effectiveness of Post-Entry English Language Assessment (PELA) as a predictor of international business students' English writing performance and academic performance. An intervention involving the implementation of contextualised English writing workshops was embedded in a specific business subject targeted at students who…

  12. Type D personality and diabetes predict the onset of depressive symptoms in patients after percutaneous coronary intervention

    DEFF Research Database (Denmark)

    Pedersen, Susanne S.; Ong, Andrew T L; Sonnenschein, Karel

    2006-01-01

    Depression is common in cardiac patients and has been associated with adverse clinical outcome. However, little is known about predictors of the onset of depressive symptoms. We examined predictors of the onset of depressive symptoms at 12 months post-percutaneous coronary intervention (PCI) in p...

  13. Prediction of depressive disorder following myocardial infarction Data from the Myocardial INfarction and Depression-Intervention Trial (MIND-IT)

    NARCIS (Netherlands)

    van Melle, JP; de Jonge, P; Kuyper, AMG; Honig, A; Schene, AH; Crijns, HJGM; van den Berg, MP; van Veldhuisen, DJ; Ormel, J

    2006-01-01

    Background: Depression following myocardial infarction (MI) is associated with complicated cardiac rehabilitation, non-compliance and poor prognosis. Whether depression following MI can be predicted from variables routinely assessed during hospitalization for MI is unknown. Methods: Using data from

  14. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

    OpenAIRE

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

    2012-01-01

    Background Obesity remains a serious issue in many countries. Web-based programs offer good potential for delivery of weight loss programs. Yet, many Internet-delivered weight loss studies include support from medical or nutritional experts, and relatively little is known about purely web-based weight loss programs. Objective To determine whether supportive features and personalization in a 12-week web-based lifestyle intervention with no in-person professional contact affect retention and we...

  15. An evaluation of community assessment tools (CATs in predicting use of clinical interventions and severe outcomes during the A(H1N1pdm09 pandemic.

    Directory of Open Access Journals (Sweden)

    Malcolm G Semple

    Full Text Available During severe influenza pandemics healthcare demand can exceed clinical capacity to provide normal standards of care. Community Assessment Tools (CATs could provide a framework for triage decisions for hospital referral and admission. CATs have been developed based on evidence that supports the recognition of severe influenza and pneumonia in the community (including resource limited settings for adults, children and infants, and serious feverish illness in children. CATs use six objective criteria and one subjective criterion, any one or more of which should prompt urgent referral and admission to hospital. A retrospective evaluation of the ability of CATs to predict use of hospital-based interventions and patient outcomes in a pandemic was made using the first recorded routine clinical assessment on or shortly after admission from 1520 unselected patients (800 female, 480 children <16 years admitted with PCR confirmed A(H1N1pdm09 infection (the FLU-CIN cohort. Outcome measures included: any use of supplemental oxygen; mechanical ventilation; intravenous antibiotics; length of stay; intensive or high dependency care; death; and "severe outcome" (combined: use of intensive or high dependency care or death during admission. Unadjusted and multivariable analyses were conducted for children (age <16 years and adults. Each CATs criterion independently identified both use of clinical interventions that would in normal circumstances only be provided in hospital and patient outcome measures. "Peripheral oxygen saturation ≤ 92% breathing air, or being on oxygen" performed well in predicting use of resources and outcomes for both adults and children; supporting routine measurement of peripheral oxygen saturation when assessing severity of disease. In multivariable analyses the single subjective criterion in CATs "other cause for clinical concern" independently predicted death in children and in adults predicted length of stay, mechanical ventilation

  16. Prediction of the efficacy of surgical intervention in patients with cervical myelopathy by using diffusion tensor 3T-magnetic resonance imaging parameters

    Directory of Open Access Journals (Sweden)

    Hironori Arima

    2015-01-01

    Full Text Available Background: The clinical significance of diffusion tensor (DT magnetic resonance imaging (MRI parameters was analyzed to predict postoperative functional recovery in patients with cervical myelopathy. Materials and Methods: Sixteen patients with cervical myelopathy caused by cervical spondylosis, disk herniation or ossification of the posterior longitudinal ligament who underwent surgical intervention in our institute were enrolled in this retrospective study. There were 7 men and 9 women, with a mean age of 62.8 years. Clinical assessment was done before surgery and at least 3 months after surgery. All patients underwent whole-body 3.0-Tesla MRI before surgery. DT images (DTIs were obtained using a single-shot fast spin-echo-based sequence. Mean values of mean diffusivity (MD and fractional anisotropy (FA at 6 disk levels of the cervical spine were measured using manual setting of regions of interest. The MD and FA values at the most compressed part were analyzed. Absolute MD and FA values at the most compressed spinal level in patients were transformed into the normalized values with a z-score analysis. Results: MD-z may decrease with the severity of cervical myelopathy. Receiver operating characteristic analysis of MD-z and FA-z suggested that both MD-z and FA-z have clinical validity for predicting the efficacy of surgical intervention, but MD-z was considered to be the most appropriate value to predict the efficacy of surgery. Conclusions: DTIs may be a promising modality to predict functional recovery after surgery. MD changes may reflect spinal cord condition and its reversibility.

  17. Ability of different screening tools to predict positive effect on nutritional intervention among the elderly in primary health care

    DEFF Research Database (Denmark)

    Beck, Anne Marie; Beermann, Tina; Kjær, Stine

    2013-01-01

    Routine identification of nutritional risk screening is paramount as the first stage in nutritional treatment of the elderly. The major focus of former validation studies of screening tools has been on the ability to predict undernutrition. The aim of this study was to validate Mini Nutritional A...

  18. Pre-Interventional Kynurenine Predicts Medium-Term Outcome after Contrast Media Exposure Due to Coronary Angiography.

    Science.gov (United States)

    Reichetzeder, Christoph; Heunisch, Fabian; Einem, Gina von; Tsuprykov, Oleg; Kellner, Karl-Heinz; Dschietzig, Thomas; Kretschmer, Axel; Hocher, Berthold

    2017-01-01

    Contrast induced acute kidney injury (CI-AKI) remains a serious complication of contrast media enhanced procedures like coronary angiography. There is still a lack of established biomarkers that help to identify patients at high risk for short and long-term complications. The aim of the current study was to evaluate plasma kynurenine as a predictive biomarker for CI-AKI and long-term complications, measured by the combined endpoint "major adverse kidney events" (MAKE) up to 120 days after CM application. In this prospective cohort study 245 patients undergoing coronary angiography were analyzed. Blood samples were obtained at baseline, 24h and 48h after contrast media (CM) application to diagnose CI-AKI. Patients were followed for 120 days for adverse clinical events including death, the need for dialysis, and a doubling of plasma creatinine. Occurrence of any of these events was summarized in the combined endpoint MAKE. Preinterventional plasma kynurenine was not associated with CI-AKI. Patients who later developed MAKE displayed significantly increased preinterventional plasma kynurenine levels (p<0.0001). ROC analysis revealed that preinterventional kynurenine is highly predictive for MAKE (AUC=0.838; p<0.0001). The optimal cutoff was found at ≥3.5 µmol/L Using this cutoff, the Kaplan-Meier estimator demonstrated that concentrations of plasma kynurenine ≥3.5 µmol/L were significantly associated with a higher prevalence of MAKE until follow up (p<0.0001). This association remained significant in multivariate Cox regression models adjusted for relevant factors of long-term renal outcome. Preinterventional plasma kynurenine might serve as a highly predictive biomarker for MAKE up to 120 days after coronary angiography. © 2017 The Author(s). Published by S. Karger AG, Basel.

  19. A Universal Intervention Program Increases Ethnic-Racial Identity Exploration and Resolution to Predict Adolescent Psychosocial Functioning One Year Later.

    Science.gov (United States)

    Umaña-Taylor, Adriana J; Kornienko, Olga; Douglass Bayless, Sara; Updegraff, Kimberly A

    2018-01-01

    Ethnic-racial identity formation represents a key developmental task that is especially salient during adolescence and has been associated with many indices of positive adjustment. The Identity Project intervention, which targeted ethnic-racial identity exploration and resolution, was designed based on the theory that program-induced changes in ethnic-racial identity would lead to better psychosocial adjustment (e.g., global identity cohesion, self-esteem, mental health, academic achievement). Adolescents (N =215; Mage =15.02, SD =.68; 50% female) participated in a small-scale randomized control trial with an attention control group. A cascading mediation model was tested using pre-test and three follow-up assessments (12, 18, and 67 weeks after baseline). The program led to increases in exploration, subsequent increases in resolution and, in turn, higher global identity cohesion, higher self-esteem, lower depressive symptoms, and better grades. Results support the notion that increasing adolescents' ethnic-racial identity can promote positive psychosocial functioning among youth.

  20. The value of matrix metalloproteinase in predicting the in-stent restenosis after percutaneous coronary intervention procedure

    International Nuclear Information System (INIS)

    Xu Zhaoyan; Yang Xili

    2011-01-01

    Objective: To discuss the relationship between the concentration of matrix metalloproteinase (MMP-1, MMP-9) and the in-stent restenosis after percutaneous coronary intervention procedure (PCI). Methods: During the period from June 2006 to June 2008, PCI procedure was carried out in 206 patients with coronary artery disease in authors' hospital. After the procedure, both coronary angiography and intravascular ultrasonography (IVUS) were conducted during follow-up period. Base on the angiographic findings, in-stent restenosis (ISR) was confirmed in 32 cases with a total of 38 lesions (ISR group), while no in-stent restenosis (non-ISR) was seen in 174 cases with a total of 229 lesions (non-ISR group). Before and after the treatment, the cross-sectional area of extra-elastic membrane, plaque area, minimal lumen area (MLA), and intima proliferation area were determined. The changes in MMP-1 and MMP-9 levels after PCI in each group were compared. Based on the MLA, the patients were divided into three groups: MLA > 5 mm 2 group, MLA (3∼5) mm 2 group and MLA 2 group. The MMP-1 and MMP-9 levels were compared among three groups. Results: Both the plaque area and intima proliferation area were significantly larger, while the MLA was significantly smaller, in ISR group than those in non-ISR group (P 5 mm 2 group, MLA (3∼5) mm 2 group and MLA 2 group was (1.45±0.32) ng/ml, (2.93±0.45) ng/ml and (3.09±0.65) ng/ml respectively, but no significant difference in MMP-9 concentration existed between MLA (3∼5) mm 2 group and MLA 2 group (P>0.05). Conclusion: After PCI the increase of MMP-9 concentration bears a close relationship to the degree of restenosis. (authors)

  1. Remnant cholesterol predicts periprocedural myocardial injury following percutaneous coronary intervention in poorly-controlled type 2 diabetes.

    Science.gov (United States)

    Zeng, Rui-Xiang; Li, Sha; Zhang, Min-Zhou; Li, Xiao-Lin; Zhu, Cheng-Gang; Guo, Yuan-Lin; Zhang, Yan; Li, Jian-Jun

    2017-08-01

    Remnant cholesterol (RC) is receiving increasing attention regarding its relation to cardiovascular risk. Whether RC is associated with periprocedural myocardial injury (PMI) following percutaneous coronary intervention (PCI) in type 2 diabetes (T2D) is currently unknown. We prospectively enrolled 1182 consecutive T2D patients who were scheduled for PCI but with baseline normal preprocedural cardiac troponin I (cTnI). Patients were divided according to their glycemic control status: group A [glycated hemoglobin (HbA1c)cholesterol ratio (RC/HDL-C) with PMI were investigated. The associations of RC and RC/HDL-C with PMI were observed in group B (both p0.05). Patients in group B, a 1-SD increase of RC produced 30% and 32% increased risk for postprocedural cTnI>3× upper limit of normal (ULN) and >5×ULN, respectively. The odds ratios for RC/HDL-C were the highest compared with any cholesterol fractions including total cholesterol (TC)/HDL-C, low density lipoprotein cholesterol (LDL-C)/HDL-C, nonHDL-C/HDL-C, and triglyceride/HDL-C with 1.43 [95% confidence interval (CI): 1.10-1.88] for >3× ULN and 1.49 (95% CI: 1.13-1.97) for >5× ULN. However, no such associations were found in group A. Furthermore, patients with RC >27.46mg/dL (third tertile) [RC≤14.15mg/dL (first tertile) as reference] were associated with a 1.57-fold and 2-fold increased risk for >3× ULN and >5× ULN in group B, respectively. RC and RC/HDL-C might be valuable, independent predictors for PMI in poorly-controlled diabetic patients undergoing PCI. Copyright © 2017. Published by Elsevier Ltd.

  2. Impact of the Occlusion Duration on the Performance of J-CTO Score in Predicting Failure of Percutaneous Coronary Intervention for Chronic Total Occlusion.

    Science.gov (United States)

    de Castro-Filho, Antonio; Lamas, Edgar Stroppa; Meneguz-Moreno, Rafael A; Staico, Rodolfo; Siqueira, Dimytri; Costa, Ricardo A; Braga, Sergio N; Costa, J Ribamar; Chamié, Daniel; Abizaid, Alexandre

    2017-06-01

    The present study examined the association between Multicenter CTO Registry in Japan (J-CTO) score in predicting failure of percutaneous coronary intervention (PCI) correlating with the estimated duration of chronic total occlusion (CTO). The J-CTO score does not incorporate estimated duration of the occlusion. This was an observational retrospective study that involved all consecutive procedures performed at a single tertiary-care cardiology center between January 2009 and December 2014. A total of 174 patients, median age 59.5 years (interquartile range [IQR], 53-65 years), undergoing CTO-PCI were included. The median estimated occlusion duration was 7.5 months (IQR, 4.0-12.0 months). The lesions were classified as easy (score = 0), intermediate (score = 1), difficult (score = 2), and very difficult (score ≥3) in 51.1%, 33.9%, 9.2%, and 5.7% of the patients, respectively. Failure rate significantly increased with higher J-CTO score (7.9%, 20.3%, 50.0%, and 70.0% in groups with J-CTO scores of 0, 1, 2, and ≥3, respectively; PJ-CTO score predicted failure of CTO-PCI independently of the estimated occlusion duration (P=.24). Areas under receiver-operating characteristic curves were computed and it was observed that for each occlusion time period, the discriminatory capacity of the J-CTO score in predicting CTO-PCI failure was good, with a C-statistic >0.70. The estimated duration of occlusion had no influence on the J-CTO score performance in predicting failure of PCI in CTO lesions. The probability of failure was mainly determined by grade of lesion complexity.

  3. QT-interval evaluation in primary percutaneous coronary intervention of ST-segment elevation myocardial infarction for prediction of myocardial salvage index.

    Directory of Open Access Journals (Sweden)

    Andrea Igoren Guaricci

    Full Text Available Assessing the efficacy of revascularization therapy in patients with ST-segment elevation myocardial infarction (STEMI is extremely important in order to guide subsequent management and assess prognosis. We aimed to determine the relationship between corrected QT-interval (QTc changes on standard sequential ECG and myocardial salvage index in anterior STEMI patients after successful primary percutaneous coronary intervention. Fifty anterior STEMI patients treated by primary percutaneous coronary intervention underwent quantitative ECG analysis and cardiac magnetic resonance. For each patient the difference (ΔQTc between the QTc of ischemic myocardium (maximum QTc in anterior leads versus remote myocardium (minimum QTc in inferior leads during the first six days after STEMI was measured. The QTc in anterior leads was significantly longer than QTc in inferior leads (p<0.0001. At multivariate analysis, ΔQTC and peak troponin I were the only independent predictors for late gadolium enhancement while ΔQTc and left ventricular ejection fraction were independent predictors of myocardial salvage index <60%. The receiver operative curve of ΔQTc showed an area under the curve of 0.77 to predict a myocardial salvage index <0.6. In conclusion, in a subset of patients with a first occurrence of early revascularized anterior STEMI, ΔQTc is inversely correlated with CMR-derived myocardial salvage index and may represent a useful parameter for assessing efficacy of reperfusion therapy.

  4. Description and predictive factors of individual outcomes in a refugee camp based mental health intervention (Beirut, Lebanon.

    Directory of Open Access Journals (Sweden)

    Pierre Bastin

    evaluation of the intervention. Results of this study have been presented at the World Congress of the World Federation for Mental Health in Cape Town, October 2011.

  5. Comparative social-technical analysis of arrangements for the reduction of energy poverty situations, and development of targeted intervention strategies. Final report

    International Nuclear Information System (INIS)

    Beslay, Christophe; Gournet, Romain; Zelem, Marie-Christine; Vidal, Marion; Huze, Marie-Helene; Cyssau, Rene; Ducrocq, Vincent; Menard, Francois; Cherel, Didier

    2010-03-01

    This study aimed at comparing different existing arrangements which have been implemented to reduce energy poverty. This comparison is based on an analysis of their actor configurations, and on their influence on the elaboration of implemented actions. It aimed at determining to which extent strategies and abilities could be complemented or are limited, and at identifying conditions of efficiency for implemented actions. This analysis also took four important issues into account: financial resources, housing energetic status and equipment, practices and representations of comfort and of energy, and arrangements for the struggle against energy poverty. Five arrangements, actions or programs have been compared: three implemented in three different French districts (Haute-Savoie, Gers and Tarn), one implemented in the Quebec province in Canada, and one implemented in the French Guyana. The comparison is made in terms of definitions and perceptions of energy poverty, of arrangement implementation, of household reception mode, of complexity of energy poverty situations, and of results of technical visits to households. The second part of the report makes some recommendations and proposals for the creation of a local intervention service for energy management

  6. Predicting and Evaluating the Epidemic Trend of Ebola Virus Disease in the 2014-2015 Outbreak and the Effects of Intervention Measures.

    Directory of Open Access Journals (Sweden)

    Zuiyuan Guo

    Full Text Available We constructed dynamic Ebola virus disease (EVD transmission models to predict epidemic trends and evaluate intervention measure efficacy following the 2014 EVD epidemic in West Africa. We estimated the effective vaccination rate for the population, with basic reproduction number (R0 as the intermediate variable. Periodic EVD fluctuation was analyzed by solving a Jacobian matrix of differential equations based on a SIR (susceptible, infective, and removed model. A comprehensive compartment model was constructed to fit and predict EVD transmission patterns, and to evaluate the effects of control and prevention measures. Effective EVD vaccination rates were estimated to be 42% (31-50%, 45% (42-48%, and 51% (44-56% among susceptible individuals in Guinea, Liberia and Sierra Leone, respectively. In the absence of control measures, there would be rapid mortality in these three countries, and an EVD epidemic would be likely recur in 2035, and then again 8~9 years later. Oscillation intervals would shorten and outbreak severity would decrease until the periodicity reached ~5.3 years. Measures that reduced the spread of EVD included: early diagnosis, treatment in isolation, isolating/monitoring close contacts, timely corpse removal, post-recovery condom use, and preventing or quarantining imported cases. EVD may re-emerge within two decades without control and prevention measures. Mass vaccination campaigns and control and prevention measures should be instituted to prevent future EVD epidemics.

  7. Predicting the Impact of Intervention Strategies for Sleeping Sickness in Two High-Endemicity Health Zones of the Democratic Republic of Congo.

    Directory of Open Access Journals (Sweden)

    Kat S Rock

    2017-01-01

    Full Text Available Two goals have been set for Gambian human African trypanosomiasis (HAT, the first is to achieve elimination as a public health problem in 90% of foci by 2020, and the second is to achieve zero transmission globally by 2030. It remains unclear if certain HAT hotspots could achieve elimination as a public health problem by 2020 and, of greater concern, it appears that current interventions to control HAT in these areas may not be sufficient to achieve zero transmission by 2030. A mathematical model of disease dynamics was used to assess the potential impact of changing the intervention strategy in two high-endemicity health zones of Kwilu province, Democratic Republic of Congo. Six key strategies and twelve variations were considered which covered a range of recruitment strategies for screening and vector control. It was found that effectiveness of HAT screening could be improved by increasing effort to recruit high-risk groups for screening. Furthermore, seven proposed strategies which included vector control were predicted to be sufficient to achieve an incidence of less than 1 reported case per 10,000 people by 2020 in the study region. All vector control strategies simulated reduced transmission enough to meet the 2030 goal, even if vector control was only moderately effective (60% tsetse population reduction. At this level of control the full elimination threshold was expected to be met within six years following the start of the change in strategy and over 6000 additional cases would be averted between 2017 and 2030 compared to current screening alone. It is recommended that a two-pronged strategy including both enhanced active screening and tsetse control is implemented in this region and in other persistent HAT foci to ensure the success of the control programme and meet the 2030 elimination goal for HAT.

  8. A random forest based risk model for reliable and accurate prediction of receipt of transfusion in patients undergoing percutaneous coronary intervention.

    Directory of Open Access Journals (Sweden)

    Hitinder S Gurm

    Full Text Available BACKGROUND: Transfusion is a common complication of Percutaneous Coronary Intervention (PCI and is associated with adverse short and long term outcomes. There is no risk model for identifying patients most likely to receive transfusion after PCI. The objective of our study was to develop and validate a tool for predicting receipt of blood transfusion in patients undergoing contemporary PCI. METHODS: Random forest models were developed utilizing 45 pre-procedural clinical and laboratory variables to estimate the receipt of transfusion in patients undergoing PCI. The most influential variables were selected for inclusion in an abbreviated model. Model performance estimating transfusion was evaluated in an independent validation dataset using area under the ROC curve (AUC, with net reclassification improvement (NRI used to compare full and reduced model prediction after grouping in low, intermediate, and high risk categories. The impact of procedural anticoagulation on observed versus predicted transfusion rates were assessed for the different risk categories. RESULTS: Our study cohort was comprised of 103,294 PCI procedures performed at 46 hospitals between July 2009 through December 2012 in Michigan of which 72,328 (70% were randomly selected for training the models, and 30,966 (30% for validation. The models demonstrated excellent calibration and discrimination (AUC: full model  = 0.888 (95% CI 0.877-0.899, reduced model AUC = 0.880 (95% CI, 0.868-0.892, p for difference 0.003, NRI = 2.77%, p = 0.007. Procedural anticoagulation and radial access significantly influenced transfusion rates in the intermediate and high risk patients but no clinically relevant impact was noted in low risk patients, who made up 70% of the total cohort. CONCLUSIONS: The risk of transfusion among patients undergoing PCI can be reliably calculated using a novel easy to use computational tool (https://bmc2.org/calculators/transfusion. This risk prediction

  9. Schedulability Analysis for Java Finalizers

    DEFF Research Database (Denmark)

    Bøgholm, Thomas; Hansen, Rene Rydhof; Ravn, Anders P.

    2010-01-01

    Java finalizers perform clean-up and finalisation of objects at garbage collection time. In real-time Java profiles the use of finalizers is either discouraged (RTSJ, Ravenscar Java) or even disallowed (JSR-302), mainly because of the unpredictability of finalizers and in particular their impact ...... programs. Finally, we extend the SARTS tool for automated schedulability analysis of Java bytecode programs to handle finalizers in a fully automated way.......Java finalizers perform clean-up and finalisation of objects at garbage collection time. In real-time Java profiles the use of finalizers is either discouraged (RTSJ, Ravenscar Java) or even disallowed (JSR-302), mainly because of the unpredictability of finalizers and in particular their impact...... on the schedulability analysis. In this paper we show that a controlled scoped memory model results in a structured and predictable execution of finalizers, more reminiscent of C++ destructors than Java finalizers. Furthermore, we incorporate finalizers into a (conservative) schedulability analysis for Predictable Java...

  10. Distinct lipid profiles predict improved glycemic control in obese, nondiabetic patients after a low-caloric diet intervention: the Diet, Obesity and Genes randomized trial.

    Science.gov (United States)

    Valsesia, Armand; Saris, Wim Hm; Astrup, Arne; Hager, Jörg; Masoodi, Mojgan

    2016-09-01

    An aim of weight loss is to reduce the risk of type 2 diabetes (T2D) in obese subjects. However, the relation with long-term glycemic improvement remains unknown. We evaluated the changes in lipid composition during weight loss and their association with long-term glycemic improvement. We investigated the plasma lipidome of 383 obese, nondiabetic patients within a randomized, controlled dietary intervention in 8 European countries at baseline, after an 8-wk low-caloric diet (LCD) (800-1000 kcal/d), and after 6 mo of weight maintenance. After weight loss, a lipid signature identified 2 groups of patients who were comparable at baseline but who differed in their capacities to lose weight and improve glycemic control. Six months after the LCD, one group had significant glycemic improvement [homeostasis model assessment of insulin resistance (HOMA-IR) mean change: -0.92; 95% CI: -1.17, -0.67)]. The other group showed no improvement in glycemic control (HOMA-IR mean change: -0.26; 95% CI: -0.64, 0.13). These differences were sustained for ≥1 y after the LCD. The same conclusions were obtained with other endpoints (Matsuda index and fasting insulin and glucose concentrations). Significant differences between the 2 groups were shown in leptin gene expression in adipose tissue biopsies. Significant differences were also observed in weight-related endpoints (body mass index, weight, and fat mass). The lipid signature allowed prediction of which subjects would be considered to be insulin resistant after 6 mo of weight maintenance [validation's receiver operating characteristic (ROC) area under the curve (AUC): 71%; 95% CI: 62%, 81%]. This model outperformed a clinical data-only model (validation's ROC AUC: 61%; 95% CI: 50%, 71%; P = 0.01). In this study, we report a lipid signature of LCD success (for weight and glycemic outcome) in obese, nondiabetic patients. Lipid changes during an 8-wk LCD allowed us to predict insulin-resistant patients after 6 mo of weight

  11. Predictive ability of the Society for Vascular Surgery Wound, Ischemia, and foot Infection (WIfI) classification system following infrapopliteal endovascular interventions for critical limb ischemia.

    Science.gov (United States)

    Darling, Jeremy D; McCallum, John C; Soden, Peter A; Meng, Yifan; Wyers, Mark C; Hamdan, Allen D; Verhagen, Hence J; Schermerhorn, Marc L

    2016-09-01

    The Society for Vascular Surgery (SVS) Lower Extremity Guidelines Committee has composed a new threatened lower extremity classification system that reflects the three major factors that impact amputation risk and clinical management: Wound, Ischemia, and foot Infection (WIfI). Our goal was to evaluate the predictive ability of this scale following any infrapopliteal endovascular intervention for critical limb ischemia (CLI). From 2004 to 2014, a single institution, retrospective chart review was performed at the Beth Israel Deaconess Medical Center for all patients undergoing an infrapopliteal angioplasty for CLI. Throughout these years, 673 limbs underwent an infrapopliteal endovascular intervention for tissue loss (77%), rest pain (13%), stenosis of a previously treated vessel (5%), acute limb ischemia (3%), or claudication (2%). Limbs missing a grade in any WIfI component were excluded. Limbs were stratified into clinical stages 1 to 4 based on the SVS WIfI classification for 1-year amputation risk, as well as a novel WIfI composite score from 0 to 9. Outcomes included patient functional capacity, living status, wound healing, major amputation, major adverse limb events, reintervention, major amputation, or stenosis (RAS) events (> ×3.5 step-up by duplex), amputation-free survival, and mortality. Predictors were identified using Kaplan-Meier survival estimates and Cox regression models. Of the 596 limbs with CLI, 551 were classified in all three WIfI domains on a scale of 0 (least severe) to 3 (most severe). Of these 551, 84% were treated for tissue loss and 16% for rest pain. A Cox regression model illustrated that an increase in clinical stage increases the rate of major amputation (hazard ratio [HR], 1.6; 95% confidence interval [CI], 1.1-2.3). Separate regression models showed that a one-unit increase in the WIfI composite score is associated with a decrease in wound healing (HR, 1.2; 95% CI, 1.1-1.4) and an increase in the rate of RAS events (HR, 1

  12. A Novel Risk Score in Predicting Failure or Success for Antegrade Approach to Percutaneous Coronary Intervention of Chronic Total Occlusion: Antegrade CTO Score.

    Science.gov (United States)

    Namazi, Mohammad Hasan; Serati, Ali Reza; Vakili, Hosein; Safi, Morteza; Parsa, Saeed Ali Pour; Saadat, Habibollah; Taherkhani, Maryam; Emami, Sepideh; Pedari, Shamseddin; Vatanparast, Masoomeh; Movahed, Mohammad Reza

    2017-06-01

    Total occlusion of a coronary artery for more than 3 months is defined as chronic total occlusion (CTO). The goal of this study was to develop a risk score in predicting failure or success during attempted percutaneous coronary intervention (PCI) of CTO lesions using antegrade approach. This study was based on retrospective analyses of clinical and angiographic characteristics of CTO lesions that were assessed between February 2012 and February 2014. Success rate was defined as passing through occlusion with successful stent deployment using an antegrade approach. A total of 188 patients were studied. Mean ± SD age was 59 ± 9 years. Failure rate was 33%. In a stepwise multivariate regression analysis, bridging collaterals (OR = 6.7, CI = 1.97-23.17, score = 2), absence of stump (OR = 5.8, CI = 1.95-17.9, score = 2), presence of calcification (OR = 3.21, CI = 1.46-7.07, score = 1), presence of bending (OR = 2.8, CI = 1.28-6.10, score = 1), presence of near side branch (OR = 2.7, CI = 1.08-6.57, score = 1), and absence of retrograde filling (OR = 2.5, CI = 1.03-6.17, score = 1) were independent predictors of PCI failure. A score of 7 or more was associated with 100% failure rate whereas a score of 2 or less was associated with over 80% success rate. Most factors associated with failure of CTO-PCI are related to lesion characteristics. A new risk score (range 0-8) is developed to predict CTO-PCI success or failure rate during antegrade approach as a guide before attempting PCI of CTO lesions.

  13. Does early response to intravenous glucocorticoids predict the final outcome in patients with moderate-to-severe and active Graves' orbitopathy?

    NARCIS (Netherlands)

    Bartalena, L.; Veronesi, G.; Krassas, G. E.; Wiersinga, W. M.; Marcocci, C.; Marinò, M.; Salvi, M.; Daumerie, C.; Bournaud, C.; Stahl, M.; Sassi, L.; Azzolini, C.; Boboridis, K. G.; Mourits, M. P.; Soeters, M. R.; Baldeschi, L.; Nardi, M.; Currò, N.; Boschi, A.; Bernard, M.; von Arx, G.; Perros, P.; Kahaly, G. J.

    2017-01-01

    Intravenous glucocorticoids (ivGCs) given as 12-weekly infusions are the first-line treatment for moderate-to-severe and active Graves' orbitopathy (GO), but they are not always effective. In this study, we evaluated whether response at 6 weeks correlated with outcomes at 12 (end of intervention)

  14. Final Scientific/Technical Report for Subseasonal to Seasonal Prediction of Extratropical Storm Track Activity over the U.S. using NMME data

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Edmund Kar-Man [Stony Brook Univ., NY (United States)

    2017-10-30

    The goals of the project are: 1) To develop and assess subseasonal to seasonal prediction products for storm track activity derived from NMME data; 2) Assess how much of the predictable signal can be associated with ENSO and other modes of large scale low frequency atmosphere-ocean variability; and 3) Further explore the link between storm track variations and extreme weather statistics. Significant findings of this project include the followings: 1) Our assessment of NMME reforecasts of storm track variability has demonstrated that NMME models have substantial skill in predicting storm track activity in the vicinity of North America - Subseasonal skill is high only for leads of less than 1 month. However, seasonal (winter) prediction skill near North America is high even out to 4 to 5 months lead - Much of the skill for leads of 1 month or longer is related to the influence of ENSO - Nevertheless, lead 0 NMME predictions are significantly more skillful than those based on ENSO influence 2) Our results have demonstrated that storm track variations highly modulate the frequency of occurrence of weather extremes - Extreme cold, high wind, and extreme precipitation events in winter - Extreme heat events in summer - These results suggest that NMME storm track predictions can be developed to serve as a useful guidance to assist the formulation of monthly/seasonal outlooks

  15. Using health promotion outcomes in formative evaluation studies to predict success factors in interventions: an application to an intervention for promoting physical activity in Dutch children (JUMP-in)

    NARCIS (Netherlands)

    Jurg, M.E.; Meij, de J.S.B.; Wal, van der M.F.; Koelen, M.A.

    2008-01-01

    JUMP-in is a systematically developed intervention aimed at promoting physical activity among primary school children. It is a joint project involving different authorities and entails six school-based programme components. Measuring effects of such an intervention is a complex challenge. A common

  16. Guidance for the design and management of a maintenance plan to assure safety and improve the predictability of a DOE nuclear irradiation facility. Final report

    International Nuclear Information System (INIS)

    Booth, R.S.; Kryter, R.C.; Shepard, R.L.; Smith, O.L.; Upadhyaya, B.R.; Rowan, W.J.

    1994-10-01

    A program is recommended for planning the maintenance of DOE nuclear facilities that will help safety and enhance availability throughout a facility's life cycle. While investigating the requirements for maintenance activities, a major difference was identified between the strategy suitable for a conventional power reactor and one for a research reactor facility: the latter should provide a high degree of predicted availability (referred to hereafter as ''predictability'') to its users, whereas the former should maximize total energy production. These differing operating goals necessitate different maintenance strategies. A strategy for scheduling research reactor facility operation and shutdown for maintenance must balance safety, reliability,and predicted availability. The approach developed here is based on three major elements: (1) a probabilistic risk analysis of the balance between assured reliability and predictability (presented in Appendix C), (2) an assessment of the safety and operational impact of maintenance activities applied to various components of the facility, and (3) a data base of historical and operational information on the performance and requirements for maintenance of various components. These factors are integrated into a set of guidelines for designing a new highly maintainable facility, for preparing flexible schedules for improved maintenance of existing facilities, and for anticipating the maintenance required to extend the life of an aging facility. Although tailored to research reactor facilities, the methodology has broader applicability and may therefore be used to improved the maintenance of power reactors, particularly in anticipation of peak load demands

  17. Predictive validity of measurements of clinical competence using the team objective structured bedside assessment (TOSBA): assessing the clinical competence of final year medical students.

    LENUS (Irish Health Repository)

    Meagher, Frances M

    2009-11-01

    The importance of valid and reliable assessment of student competence and performance is gaining increased recognition. Provision of valid patient-based formative assessment is an increasing challenge for clinical teachers in a busy hospital setting. A formative assessment tool that reliably predicts performance in the summative setting would be of value to both students and teachers.

  18. Predictive value of postprocedural leukocyte count on myocardial perfusion, left ventricular function and clinical outcomes in ST-elevated myocardial infarction after percutaneous coronary intervention.

    Science.gov (United States)

    He, Rong; Li, Hai-yan; Guo, Li-jun; Zhang, Fu-chun; Niu, Jie; Zhang, Yong-zhen; Wang, Gui-song; Yang, Zhen-hua; Gao, Wei

    2012-03-01

    Baseline white blood cell (WBC) count was correlated with ischemic events occurrence in patients with ST-elevated myocardial infarction (STEMI). However, circulating WBC count is altered after percutaneous coronary intervention (PCI). The aim of this study was to assess the relationship between postprocedural WBC count and clinical outcomes in STEMI patients who underwent PCI. A total of 242 consecutive acute STEMI patients who underwent successful primary PCI were enrolled and followed up for two years. WBC counts were measured within 12 hours after PCI. ST-segment resolution (ST-R) and myocardial blush grades (MBG) were evaluated immediately after PCI. Left ventricular ejection fraction (LVEF) was obtained at baseline and 12 - 18 months after PCI. Postprocedural WBC count was an independent inverse predictor of ST-R (OR 0.80, P < 0.0001) and MBG 3 (OR 0.82, P < 0.0001). It was negatively correlated with LVEF (baseline r = -0.22, P = 0.001; 12 - 18 months r = -0.29, P < 0.0001). The best cutoff value of WBC for predicting death was determined to be 13.0 × 10(9)/L. The patients with a postprocedural WBC count above 13.0 × 10(9)/L showed a significantly lower cumulative survival rate (30 days, 82.4% vs. 99.0%, P < 0.0001 and 2 years 75.0% vs. 96.4%, P < 0.0001). Multivariate Cox regression analysis showed that a postprocedural WBC count was a strong independent predictor of 30-day mortality (HR 8.48, P = 0.019) and 2-year mortality (HR 4.93, P = 0.009). Increased postprocedural WBC count is correlated with myocardial malperfusion and left ventricular dysfunction, and is an independent predictor of poor clinical outcomes in STEMI patients who underwent PCI.

  19. Final Report, DOE Early Career Award: Predictive modeling of complex physical systems: new tools for statistical inference, uncertainty quantification, and experimental design

    Energy Technology Data Exchange (ETDEWEB)

    Marzouk, Youssef [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

    2016-08-31

    Predictive simulation of complex physical systems increasingly rests on the interplay of experimental observations with computational models. Key inputs, parameters, or structural aspects of models may be incomplete or unknown, and must be developed from indirect and limited observations. At the same time, quantified uncertainties are needed to qualify computational predictions in the support of design and decision-making. In this context, Bayesian statistics provides a foundation for inference from noisy and limited data, but at prohibitive computional expense. This project intends to make rigorous predictive modeling *feasible* in complex physical systems, via accelerated and scalable tools for uncertainty quantification, Bayesian inference, and experimental design. Specific objectives are as follows: 1. Develop adaptive posterior approximations and dimensionality reduction approaches for Bayesian inference in high-dimensional nonlinear systems. 2. Extend accelerated Bayesian methodologies to large-scale {\\em sequential} data assimilation, fully treating nonlinear models and non-Gaussian state and parameter distributions. 3. Devise efficient surrogate-based methods for Bayesian model selection and the learning of model structure. 4. Develop scalable simulation/optimization approaches to nonlinear Bayesian experimental design, for both parameter inference and model selection. 5. Demonstrate these inferential tools on chemical kinetic models in reacting flow, constructing and refining thermochemical and electrochemical models from limited data. Demonstrate Bayesian filtering on canonical stochastic PDEs and in the dynamic estimation of inhomogeneous subsurface properties and flow fields.

  20. Government Actions and Interventions

    OpenAIRE

    Taylor, John B.

    2009-01-01

    There is empirical evidence that government actions and interventions prolonged and worsened the financial crisis, because they were based on faulty diagnosis of the problem and did not follow clear predictable principles.

  1. Schedulability Analysis for Java Finalizers

    DEFF Research Database (Denmark)

    Bøgholm, Thomas; Hansen, Rene Rydhof; Søndergaard, Hans

    2010-01-01

    Java finalizers perform clean-up and finalisation of objects at garbage collection time. In real-time Java profiles the use of finalizers is either discouraged (RTSJ, Ravenscar Java) or even disallowed (JSR-302), mainly because of the unpredictability of finalizers and in particular their impact...... on the schedulability analysis. In this paper we show that a controlled scoped memory model results in a structured and predictable execution of finalizers, more reminiscent of C++ destructors than Java finalizers. Furthermore, we incorporate finalizers into a (conservative) schedulability analysis for Predictable Java...... programs. Finally, we extend the SARTS tool for automated schedulability analysis of Java bytecode programs to handle finalizers in a fully automated way....

  2. Surrogate inaccuracy in predicting older adults' desire for life-sustaining interventions in the event of decisional incapacity: is it due in part to erroneous quality-of-life assessments?

    Science.gov (United States)

    Bravo, Gina; Sene, Modou; Arcand, Marcel

    2017-07-01

    Family members are often called upon to make decisions for an incapacitated relative. Yet they have difficulty predicting a loved one's desire to receive treatments in hypothetical situations. We tested the hypothesis that this difficulty could in part be explained by discrepant quality-of-life assessments. The data come from 235 community-dwelling adults aged 70 years and over who rated their quality of life and desire for specified interventions in four health states (current state, mild to moderate stroke, incurable brain cancer, and severe dementia). All ratings were made on Likert-type scales. Using identical rating scales, a surrogate chosen by the older adult was asked to predict the latter's responses. Linear mixed models were fitted to determine whether differences in quality-of-life ratings between the older adult and surrogate were associated with surrogates' inaccuracy in predicting desire for treatment. The difference in quality-of-life ratings was a significant predictor of prediction inaccuracy for the three hypothetical health states (p quality of life compared to the older adult, the more he or she overestimated the older adult's desire to be treated. Discrepant quality-of-life ratings are associated with surrogates' difficulty in predicting desire for life-sustaining interventions in hypothetical situations. This finding underscores the importance of discussing anticipated quality of life in states of cognitive decline, to better prepare family members for making difficult decisions for their loved ones. ISRCTN89993391.

  3. Dissimilar-weld failure analysis and development: Volume 7, Prediction of Damage in Service (PODIS): Code-background document: Final report

    Energy Technology Data Exchange (ETDEWEB)

    1988-05-01

    This document provides the technical background for the dissimilar weld life prediction computer program PODIS (Prediction of Damage in Service). PODIS is based on a set of empirical equations relating damage to loading history for both stainless-steel and nickel-base filler metal welds. The empirical equations were derived by regression analyses using well-characterized data from in-service investigations and laboratory tests. The equations were then validated using a large number of data points, mostly from service. The load damage equations can be used to estimate the damage in welds (in-service)when the various loads on the weld have been deduced from either the past of future operating hidtory of the plant. The evaluation of the damage components from a PODIS analysis can also be used for planning corrective action (plant modification or change in operating conditions) to increase the redisual life of a weld. The analysis technique has been programmed for IBM-compatible personal computers. 19 refs., 2 figs., 4 tabs.

  4. In Situ Tracer method for establishing the presence and predicting the activity of heavy metal-reducing microbes in the subsurface. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Hatfield, K.

    2003-07-01

    Tracer method to establish presence and distribution of chromium reducing microbes. The primary objective of this research was to establish an in situ tracer method for detecting the presence. distribution. and activity of subsurface heavy metal-reducing microorganisms. Research focused on microbial systems responsible for the reduction of chromium and a suite of biotracers coupled to the reduction process. The tracer method developed may be used to characterize sites contaminated with chromium or expedite bioremediation: and although research focused on chromium. the method can be easily extended to other metals, organics, and radionuclides. This brief final report contains three major sections. The first identifies specific products of the research effort such as students supported and publications. The second section briefly presents major research findings, while the last section summarizes the overall research effort.

  5. An in Situ method for establishing the presence and predicting the activity of heavy metal-reducing microbes in the subsurface. Final Report

    International Nuclear Information System (INIS)

    Hatfield, K.

    2003-01-01

    Tracer method to establish presence and distribution of chromium reducing microbes. The primary objective of this research was to establish an in situ tracer method for detecting the presence. distribution. and activity of subsurface heavy metal-reducing microorganisms. Research focused on microbial systems responsible for the reduction of chromium and a suite of biotracers coupled to the reduction process. The tracer method developed may be used to characterize sites contaminated with chromium or expedite bioremediation: and although research focused on chromium. the method can be easily extended to other metals, organics, and radionuclides. This brief final report contains three major sections. The first identifies specific products of the research effort such as students supported and publications. The second section briefly presents major research findings, while the last section summarizes the overall research effort

  6. Predictive value of inflammatory factors on contrast-induced acute kidney injury in patients who underwent an emergency percutaneous coronary intervention.

    Science.gov (United States)

    Yuan, Ying; Qiu, Hong; Hu, Xiaoying; Luo, Tong; Gao, Xiaojin; Zhao, Xueyan; Zhang, Jun; Wu, Yuan; Qiao, Shubin; Yang, Yuejin; Gao, Runlin

    2017-09-01

    Contrast-induced acute kidney injury (CI-AKI) is one of the most serious complications in patients who undergo percutaneous coronary intervention (PCI), especially in those with acute coronary syndrome. It has been shown that inflammation may play an important role in the pathophysiology of CI-AKI. Inflammatory factors may play a predominant role in the prediction of CI-AKI in patients who undergo emergency PCI. Patients who underwent emergency PCI from 2013 to 2015 were consecutively enrolled and were divided into CI-AKI and non-CI-AKI groups. Logistic analysis was used to identify the risk factors of CI-AKI. Receiver operator characteristic curve analysis was performed to evaluate the area under the curve (AUC) and to establish the optimal cutoff. A total of 1061 patients were included, and the CI-AKI rate was 5.47% (58/1061). Logistic analysis showed that the white blood cell (WBC) count (odds ratio [OR]: 1.103, 95% confidence interval [CI]: 1.018-1.195, P = 0.016), neutrophil (N) count (OR: 1.134, 95% CI: 1.045-1.232, P = 0.003), neutrophil to lymphocyte ratio (NLR) (OR: 1.105, 95% CI: 1.044-1.169, P = 0.001), C-reactive protein (CRP) level (OR: 1.006, 95% CI: 1.001-1.011, P = 0.020), high-sensitivity C-reactive protein (hs-CRP) level (OR: 1.099, 95% CI: 1.020-1.184, P = 0.013), and big endothelin-1 (ET-1) level (OR: 4.030, 95% CI: 1.989-8.165, P < 0.001) were all significant predictors for CI-AKI, as was the left ventricular ejection fraction and diuretic administration. The AUC of the big ET-1 level was the highest (0.793, 95% CI: 0.733-0.853), followed by the NLR (0.708, 95% CI: 0.641-0.774), hs-CRP level (0.705, 95% CI: 0.627-0.782), CRP level (0.684, 95% CI: 0.607-0.761), N count (0.655, 95% CI: 0.584-0.726), WBC count (0.620, 95% CI: 0.544-0.695), and erythrocyte sedimentation rate (0.611, 95% CI: 0.527-0.695). The WBC count, N count, NLR, CRP level, hs-CRP level, and big ET-1 level are all associated with an increased risk of CI-AKI, and among which, the

  7. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    DeTar, Carleton [P.I.

    2012-12-10

    This document constitutes the Final Report for award DE-FC02-06ER41446 as required by the Office of Science. It summarizes accomplishments and provides copies of scientific publications with significant contribution from this award.

  8. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Gurney, Kevin R. [Arizona Univ., Mesa, AZ (United States)

    2015-01-12

    This document constitutes the final report under DOE grant DE-FG-08ER64649. The organization of this document is as follows: first, I will review the original scope of the proposed research. Second, I will present the current draft of a paper nearing submission to Nature Climate Change on the initial results of this funded effort. Finally, I will present the last phase of the research under this grant which has supported a Ph.D. student. To that end, I will present the graduate student’s proposed research, a portion of which is completed and reflected in the paper nearing submission. This final work phase will be completed in the next 12 months. This final workphase will likely result in 1-2 additional publications and we consider the results (as exemplified by the current paper) high quality. The continuing results will acknowledge the funding provided by DOE grant DE-FG-08ER64649.

  9. An archaeological predictive model for locating rock shelter sites in Hesse Germany) that contain both Final Palaeolithic archaeology and Laacher See tephra

    DEFF Research Database (Denmark)

    Sauer, Florian Rudolf; Hoggard, Christian Steven; Zernack, Anke Verena

    In the changing environment of the Late Glacial Interstadial Complex, the cataclysmic eruption of Laacher See volcano (c. 13,000 BP) in the Eifel in Western Germany had a dramatic effect on the daily life of Late Palaeolithic foragers (Riede, 2017). Large proportions of the Laacher See Tephra (LST...... of human impacts following the eruption, a dataset of c. 800 rock shelter locations throughout the state of Hesse was used to generate an archaeological predictive model (APM). The database was compiled in the early 1990 for the purpose of discovering new and well-stratified sites (Hofbauer, 1995...... for subsequent excavation. References Hofbauer, H. (1995). Abri-Kataster von Hessen: Ein Vorbericht. Berichte der Kommission für Archäologische Landesforschung in Hessen, 3, 99-105. Riede, F. (2017). Splendid Isolation: The Eruption of the Laacher See Volcano & Southern Scandinavian Late Glacial Hunter...

  10. Final Results of the Telaprevir Access Program: FibroScan Values Predict Safety and Efficacy in Hepatitis C Patients with Advanced Fibrosis or Cirrhosis.

    Directory of Open Access Journals (Sweden)

    Antonia Lepida

    Full Text Available Liver stiffness determined by transient elastography is correlated with hepatic fibrosis stage and has high accuracy for detecting severe fibrosis and cirrhosis in chronic hepatitis C patients. We evaluated the clinical value of baseline FibroScan values for the prediction of safety and efficacy of telaprevir-based therapy in patients with advanced fibrosis and cirrhosis in the telaprevir Early Access Program HEP3002.1,772 patients with HCV-1 and bridging fibrosis or cirrhosis were treated with telaprevir plus pegylated interferon-α and ribavirin (PR for 12 weeks followed by PR alone, the total treatment duration depending on virological response and previous response type. Liver fibrosis stage was determined either by liver biopsy or by non-invasive markers. 1,282 patients (72% had disease stage assessed by FibroScan; among those 46% were classified as Metavir F3 at baseline and 54% as F4.Overall, 1,139 patients (64% achieved a sustained virological response (SVR by intention-to-treat analysis. Baseline FibroScan values were tested for association with SVR and the occurrence of adverse events. By univariate analysis, higher baseline FibroScan values were predictive of lower sustained virological response rates and treatment-related anemia. By multivariate analysis, FibroScan was no longer statistically significant as an independent predictor, but higher FibroScan values were correlated with the occurrence of infections and serious adverse events.FibroScan has a limited utility as a predictor of safety and efficacy in patients treated with telaprevir-based triple therapy. Nevertheless it can be used in association with other clinical and biological parameters to help determine patients who will benefit from the triple regiments.ClinicalTrials.gov NCT01508286.

  11. Verification of analysis methods for predicting the behaviour of seismically isolated nuclear structures. Final report of a co-ordinated research project 1996-1999

    International Nuclear Information System (INIS)

    2002-06-01

    This report is a summary of the work performed under a co-ordinated research project (CRP) entitled Verification of Analysis Methods for Predicting the Behaviour of Seismically isolated Nuclear Structures. The project was organized by the IAEA on the recommendation of the IAEA's Technical Working Group on Fast Reactors (TWGFR) and carried out from 1996 to 1999. One of the primary requirements for nuclear power plants and facilities is to ensure safety and the absence of damage under strong external dynamic loading from, for example, earthquakes. The designs of liquid metal cooled fast reactors (LMFRs) include systems which operate at low pressure and include components which are thin-walled and flexible. These systems and components could be considerably affected by earthquakes in seismic zones. Therefore, the IAEA through its advanced reactor technology development programme supports the activities of Member States to apply seismic isolation technology to LMFRs. The application of this technology to LMFRs and other nuclear plants and related facilities would offer the advantage that standard designs may be safely used in areas with a seismic risk. The technology may also provide a means of seismically upgrading nuclear facilities. Design analyses applied to such critical structures need to be firmly established, and the CRP provided a valuable tool in assessing their reliability. Ten organizations from India, Italy, Japan, the Republic of Korea, the Russian Federation, the United Kingdom, the United States of America and the European Commission co-operated in this CRP. This report documents the CRP activities, provides the main results and recommendations and includes the work carried out by the research groups at the participating institutes within the CRP on verification of their analysis methods for predicting the behaviour of seismically isolated nuclear structures

  12. Prognostic comparison between creatinine-based glomerular filtration rate formulas for the prediction of 10-year outcome in patients with non-ST elevation acute coronary syndrome treated by percutaneous coronary intervention.

    Science.gov (United States)

    Ballo, Piercarlo; Chechi, Tania; Spaziani, Gaia; Fibbi, Veronica; Conti, Duccio; Ferro, Giuseppe; Nigrelli, Santi; Dattolo, Pietro; Fazi, Antonio; Santoro, Giovanni Maria; Zuppiroli, Alfredo; Pizzarelli, Francesco

    2017-03-01

    Estimated glomerular filtration rate (eGFR) is a predictor of outcome among patients with non-ST-elevation acute coronary syndrome (NSTE-ACS), but which estimation formula provides the best long-term risk stratification in this setting is still unclear. We compared the prognostic performance of four creatinine-based formulas for the prediction of 10-year outcome in a NSTE-ACS population treated by percutaneous coronary intervention. In 222 NSTE-ACS patients submitted to percutaneous coronary intervention, eGFR was calculated using four formulas: Cockcroft-Gault, re-expressed modification of diet in renal disease (MDRD), chronic kidney disease epidemiology collaboration (CKD-Epi), and Mayo-quadratic. Predefined endpoints were all-cause death and a composite of cardiovascular death, non-fatal reinfarction, clinically driven repeat revascularisation, and heart failure hospitalisation. The different eGFR values showed poor agreement, with prevalences of renal dysfunction ranging from 14% to 35%. Over a median follow-up of 10.2 years, eGFR calculated by the CKD-Epi and Mayo-quadratic formulas independently predicted outcome, with an increase in the risk of death and events by up to 17% and 11%, respectively, for each decrement of 10 ml/min/1.73 m 2 . The Cockcroft-Gault and MDRD equations showed a borderline association with mortality and did not predict events. When compared in terms of goodness of fit, discrimination and calibration, the Mayo-quadratic outperformed the other formulas for the prediction of death and the CKD-Epi showed the best performance for the prediction of events (net reclassification improvement values 0.33-0.35). eGFR is an independent predictor of long-term outcome in patients with NSTE-ACS treated by percutaneous coronary intervention. The Mayo-quadratic and CKD-Epi equations might be superior to classic eGFR formulas for risk stratification in these patients.

  13. Predicting the service life of connecting rod and main bearings, taking into account different engine loads. Final report; Lebensdauervorhersage fuer Pleuel- und Hauptlager unter Beruecksichtigung unterschiedlicher Motorlastkollektive. Abschlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Berkowitz, B.; Lueneburg, B.; Liu, J.

    1994-12-31

    Connecting rod and main bearings of internal combustion engines are among the most heavily stressed components in modern engines. It was found that these engine components are increasingly reaching the limits of their strength and therefore become the components limiting engine life. However, there is no known process which makes a calculated prediction of the service life of modern connecting rod and main bearings possible, taking into account various engine loads. In this research project, a new concept for the calculated prediction of the service life of non-static highly loaded radial sliding bearings is worked out. The basis is a process of calculation which realistically determines the pressure and gap course in highly loaded sliding bearings. Apart from the viscosity depending on pressure and temperature, the elastic deformations of the system sliding bearing/conn rod are also taken into account. Calculations are done for different operating points for a complete cycle of a four stroke Diesel engine (Daimler-Benz OM 364 LA). The results are compared with the present conventional process of calculation and the effects which occur are discussed. Based on the elasto-hydrodynamic calculation, a method of calculating the service life of non-statically loaded sliding bearings, taking into account various motor loads, is worked out. (orig./HW) [Deutsch] Pleuel- und Hauptlager von Verbrennungskraftmaschinen zaehlen mit zu den spezifisch am hoechsten beanspruchten Bauteilen in modernen Motoren. Es hat sich gezeigt, dass vor allem diese Maschinenelemente zunehmend an die Grenzen ihrer Belastbarkeit stossen und so zum lebensdauerbegrenzenden Bauteil werden. Es ist jedoch kein Verfahren bekannt, das eine rechnerische Lebensdauervorhersage moderner Pleuel- und Hauptlager unter Beruecksichtigung unterschiedlicher Motorlastkollektive ermoeglicht. Im vorliegenden Forschungsvorhaben wird daher ein neuartiges Konzept zur rechnerischen Lebensdauervorhersage von instationaeren

  14. Narrative Finality

    Directory of Open Access Journals (Sweden)

    Armine Kotin Mortimer

    1981-01-01

    Full Text Available The cloturai device of narration as salvation represents the lack of finality in three novels. In De Beauvoir's Tous les hommes sont mortels an immortal character turns his story to account, but the novel makes a mockery of the historical sense by which men define themselves. In the closing pages of Butor's La Modification , the hero plans to write a book to save himself. Through the thrice-considered portrayal of the Paris-Rome relationship, the ending shows the reader how to bring about closure, but this collective critique written by readers will always be a future book. Simon's La Bataille de Pharsale , the most radical attempt to destroy finality, is an infinite text. No new text can be written. This extreme of perversion guarantees bliss (jouissance . If the ending of De Beauvoir's novel transfers the burden of non-final world onto a new victim, Butor's non-finality lies in the deferral to a future writing, while Simon's writer is stuck in a writing loop, in which writing has become its own end and hence can have no end. The deconstructive and tragic form of contemporary novels proclaims the loss of belief in a finality inherent in the written text, to the profit of writing itself.

  15. Final Report for DOE grant no. DE-FG02-04ER63883: Can soil genomics predict the impact of precipitation on nitrous oxide flux from soil

    Energy Technology Data Exchange (ETDEWEB)

    Egbert Schwartz

    2008-12-15

    Nitrous oxide is a potent greenhouse gas that is released by microorganisms in soil. However, the production of nitrous oxide in soil is highly variable and difficult to predict. Future climate change may have large impacts on nitrous oxide release through alteration of precipitation patterns. We analyzed DNA extracted from soil in order to uncover relationships between microbial processes, abundance of particular DNA sequences and net nitrous oxide fluxes from soil. Denitrification, a microbial process in which nitrate is used as an electron acceptor, correlated with nitrous oxide flux from soil. The abundance of ammonia oxidizing archaea correlated positively, but weakly, with nitrous oxide production in soil. The abundance of bacterial genes in soil was negatively correlated with gross nitrogen mineralization rates and nitrous oxide release from soil. We suggest that the most important control over nitrous oxide production in soil is the growth and death of microorganisms. When organisms are growing nitrogen is incorporated into their biomass and nitrous oxide flux is low. In contrast, when microorganisms die, due to predation or infection by viruses, inorganic nitrogen is released into the soil resulting in nitrous oxide release. Higher rates of precipitation increase access to microorganisms by predators or viruses through filling large soil pores with water and therefore can lead to large releases of nitrous oxide from soil. We developed a new technique, stable isotope probing with 18O-water, to study growth and mortality of microorganisms in soil.

  16. Final Report

    DEFF Research Database (Denmark)

    Heiselberg, Per; Brohus, Henrik; Nielsen, Peter V.

    This final report for the Hybrid Ventilation Centre at Aalborg University describes the activities and research achievement in the project period from August 2001 to August 2006. The report summarises the work performed and the results achieved with reference to articles and reports published...

  17. Interactive Visual Intervention Planning: Interactive Visualization for Intervention Planning in Particle Accelerator Environments with Ionizing Radiation

    CERN Document Server

    Fabry, Thomas; Feral, Bruno

    2013-01-01

    Intervention planning is crucial for maintenance operations in particle accelerator environments with ionizing radiation, during which the radiation dose contracted by maintenance workers should be reduced to a minimum. In this context, we discuss the visualization aspects of a new software tool, which integrates interactive exploration of a scene depicting an accelerator facility augmented with residual radiation level simulations, with the visualization of intervention data such as the followed trajectory and maintenance tasks. The visualization of each of these aspects has its effect on the final predicted contracted radiation dose. In this context, we explore the possible benefits of a user study, with the goal of enhancing the visual conditions in which the intervention planner using the software tool is minimizing the radiation dose.

  18. Improving the Prediction of Mortality and the Need for Life-Saving Interventions in Trauma Patients Using Standard Vital Signs With Heart-Rate Variability and Complexity

    Science.gov (United States)

    2015-06-01

    database. These included demographic data, physical examination results, Glasgow Coma Scale (GCS) scores, and interventions performed on the patients...in cardiology . Fourth, this study did not consider analyses for examining the discriminating power of the models for the outcome of LSI needs...operating characteristic curves were obtained to examine the discriminating power of multivariate logistic re- gression models (excluding GCS scores

  19. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Stinis, Panos [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2016-08-07

    This is the final report for the work conducted at the University of Minnesota (during the period 12/01/12-09/18/14) by PI Panos Stinis as part of the "Collaboratory on Mathematics for Mesoscopic Modeling of Materials" (CM4). CM4 is a multi-institution DOE-funded project whose aim is to conduct basic and applied research in the emerging field of mesoscopic modeling of materials.

  20. Neurobiological stress responses predict aggression in boys with oppositional defiant disorder/conduct disorder : a 1-year follow-up intervention study

    NARCIS (Netherlands)

    Schoorl, Jantiene; van Rijn, Sophie; de Wied, Minet; van Goozen, Stephanie H M; Swaab, Hanna

    2017-01-01

    To improve outcome for children with antisocial and aggressive behavior, it is important to know which individual characteristics contribute to reductions in problem behavior. The predictive value of a parent training (Parent Management Training Oregon; PMTO), parenting practices (monitoring,

  1. Value of a new multiparametric score for prediction of microvascular obstruction lesions in ST-segment elevation myocardial infarction revascularized by percutaneous coronary intervention.

    Science.gov (United States)

    Amabile, Nicolas; Jacquier, Alexis; Gaudart, Jean; Sarran, Anthony; Shuaib, Anes; Panuel, Michel; Moulin, Guy; Bartoli, Jean-Michel; Paganelli, Franck

    2010-10-01

    Despite improvement in revascularization strategies, microvascular obstruction (MO) lesions remain associated with poor outcome after ST-segment elevation myocardial infarction (STEMI). To establish a bedside-available score for predicting MO lesions in STEMI, with cardiac magnetic resonance imaging (CMR) as the reference standard, and to test its prognostic value for clinical outcome. Patients with STEMI of4 accurately identified microcirculatory injuries (sensitivity 84%; specificity 82%) and independently predicted the presence of MO lesions on CMR. MO score>4 predicted adverse cardiovascular events during the first year after STEMI (relative risk 2.60 [1.10-6.60], p=0.03). MO lesions are frequent in PCI-treated STEMI and are associated with larger MIs. MO score accurately predicted MO lesions and identified patients with poor outcome post-STEMI. Copyright © 2010 Elsevier Masson SAS. All rights reserved.

  2. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    David A. Benson

    2012-09-24

    This project combines outcrop-scale heterogeneity characterization, laboratory experiments, and numerical simulations. The study is designed to test whether established dispersion theory accurately predicts the behavior of solute transport through heterogeneous media and to investigate the relationship between heterogeneity and the parameters that populate these models. The dispersion theory tested by this work is based upon the fractional advection-dispersion equation (fADE) model. Unlike most dispersion studies that develop a solute transport model by fitting the solute transport breakthrough curve, this project will explore the nature of the heterogeneous media to better understand the connection between the model parameters and the aquifer heterogeneity. Our work at the Colorado School of Mines was focused on the following questions: 1) What are the effects of multi-scale geologic variability on transport of conservative and reactive solutes? 2) Can those transport effects be accounted for by classical methods, and if not, can the nonlocal fractional-order equations provide better predictions? 3) Can the fractional-order equations be parameterized through a link to some simple observable geologic features? 4) Are the classical equations of transport and reaction sufficient? 5) What is the effect of anomalous transport on chemical reaction in groundwater systems? The work is predicated on the observation that upscaled transport is defined by loss of information, or spatio-temporal averaging. This averaging tends to make the transport laws such as Fick's 2nd-order diffusion equation similar to central limit theory. The fractional-order advection-dispersion equations rely on limit theory for heavy-tailed random motion that has some diverging moments. The equations predict larger tails of a plume in space and/or time than those predicted by the classical 2nd-order advection-dispersion equation. The heavy tails are often seen in plumes at field sites.

  3. Mindfulness Interventions.

    Science.gov (United States)

    Creswell, J David

    2017-01-03

    Mindfulness interventions aim to foster greater attention to and awareness of present moment experience. There has been a dramatic increase in randomized controlled trials (RCTs) of mindfulness interventions over the past two decades. This article evaluates the growing evidence of mindfulness intervention RCTs by reviewing and discussing (a) the effects of mindfulness interventions on health, cognitive, affective, and interpersonal outcomes; (b) evidence-based applications of mindfulness interventions to new settings and populations (e.g., the workplace, military, schools); (c) psychological and neurobiological mechanisms of mindfulness interventions; (d) mindfulness intervention dosing considerations; and (e) potential risks of mindfulness interventions. Methodologically rigorous RCTs have demonstrated that mindfulness interventions improve outcomes in multiple domains (e.g., chronic pain, depression relapse, addiction). Discussion focuses on opportunities and challenges for mindfulness intervention research and on community applications.

  4. Conclusiones finales

    OpenAIRE

    Guerrero Gaitán, Manuel

    2016-01-01

    La investigación realizada permite extraer las siguientes conclusiones finales que serán agrupadas según los principales problemas abordados: 1. En relación a las cláusulas que impiden una adecuada transferencia de tecnología, en la presente investigación se demuestra: Primero. Que las cláusulas más frecuentes recogidas en los contratos internacionales de transferencia de tecnología son: la fijación de precios, las restricciones a la investigación y adaptación de la tecnología objeto del cont...

  5. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    R Paul Drake

    2004-01-12

    OAK-B135 This is the final report from the project Hydrodynamics by High-Energy-Density Plasma Flow and Hydrodynamics and Radiation Hydrodynamics with Astrophysical Applications. This project supported a group at the University of Michigan in the invention, design, performance, and analysis of experiments using high-energy-density research facilities. The experiments explored compressible nonlinear hydrodynamics, in particular at decelerating interfaces, and the radiation hydrodynamics of strong shock waves. It has application to supernovae, astrophysical jets, shock-cloud interactions, and radiative shock waves.

  6. Effects of pharmacists' interventions on appropriateness of prescribing and evaluation of the instruments' (MAI, STOPP and STARTs' ability to predict hospitalization--analyses from a randomized controlled trial.

    Directory of Open Access Journals (Sweden)

    Ulrika Gillespie

    Full Text Available Appropriateness of prescribing can be assessed by various measures and screening instruments. The aims of this study were to investigate the effects of pharmacists' interventions on appropriateness of prescribing in elderly patients, and to explore the relationship between these results and hospital care utilization during a 12-month follow-up period.The study population from a previous randomized controlled study, in which the effects of a comprehensive pharmacist intervention on re-hospitalization was investigated, was used. The criteria from the instruments MAI, STOPP and START were applied retrospectively to the 368 study patients (intervention group (I n = 182, control group (C n = 186. The assessments were done on admission and at discharge to detect differences over time and between the groups. Hospital care consumption was recorded and the association between scores for appropriateness, and hospitalization was analysed.The number of Potentially Inappropriate Medicines (PIMs per patient as identified by STOPP was reduced for I but not for C (1.42 to 0.93 vs. 1.46 to 1.66 respectively, p<0.01. The number of Potential Prescription Omissions (PPOs per patient as identified by START was reduced for I but not for C (0.36 to 0.09 vs. 0.42 to 0.45 respectively, p<0.001. The summated score for MAI was reduced for I but not for C (8.5 to 5.0 and 8.7 to 10.0 respectively, p<0.001. There was a positive association between scores for MAI and STOPP and drug-related readmissions (RR 8-9% and 30-34% respectively. No association was detected between the scores of the tools and total re-visits to hospital.The interventions significantly improved the appropriateness of prescribing for patients in the intervention group as evaluated by the instruments MAI, STOPP and START. High scores in MAI and STOPP were associated with a higher number of drug-related readmissions.

  7. Neurobiological stress responses predict aggression in boys with oppositional defiant disorder/conduct disorder: a 1-year follow-up intervention study.

    Science.gov (United States)

    Schoorl, Jantiene; van Rijn, Sophie; de Wied, Minet; van Goozen, Stephanie H M; Swaab, Hanna

    2017-07-01

    To improve outcome for children with antisocial and aggressive behavior, it is important to know which individual characteristics contribute to reductions in problem behavior. The predictive value of a parent training (Parent Management Training Oregon; PMTO), parenting practices (monitoring, discipline, and punishment), and child neurobiological function (heart rate, cortisol) on the course of aggression was investigated. 64 boys with oppositional defiant disorder or conduct disorder (8-12 years) participated; parents of 22 boys took part in PMTO. All data were collected before the start of the PMTO, and aggression ratings were collected three times, before PMTO, and at 6 and 12 month follow-up. Parent training predicted a decline in aggression at 6 and 12 months. Child neurobiological variables, i.e., higher cortisol stress reactivity and better cortisol recovery, also predicted a decline in aggression at 6 and 12 months. Heart rate and parenting practices were not related to the course of aggression. These results indicate that child neurobiological factors can predict persistence or reduction of aggression in boys with ODD/CD, and have unique prognostic value on top of the parent training effects.

  8. Increasing discomfort tolerance predicts incentive senitization of exercise reinforcement: Preliminary results from a randomized controlled intervention to increase the reinforcing value of exercise in overweight to obese adu

    Science.gov (United States)

    Objective: The reinforcing (motivating) value of exercise/physical activity (RRVex) predicts usual exercise behavior and meeting of physical activity guidelines. Recent cross-sectional evidence suggests, for the first time, that greater tolerance for the discomfort experienced during exercise is ass...

  9. Use of ATP Readings to Predict a Successful Hygiene Intervention in the Workplace to Reduce the Spread of Viruses on Fomites.

    Science.gov (United States)

    Sifuentes, Laura Y; Fankem, Sonia L M; Reynolds, Kelly; Tamimi, Akrum H; Gerba, Charles P; Koenig, David

    2017-03-01

    The purpose of this study was to validate the use of adenosine triphosphate (ATP) for evaluating hygiene intervention effectiveness in reducing viral dissemination in an office environment. The bacterial virus MS-2 was used to evaluate two scenarios, one where the hand of an individual was contaminated and another where a fomite was contaminated. MS-2 was selected as a model because its shape and size are similar to many human pathogenic viruses. Two separate experiments were conducted, one in which the entrance door push plate was inoculated and the other in which the hand of one selected employee was inoculated. In both scenarios, 54 selected surfaces in the office were tested to assess the dissemination of the virus within the office. Associated surface contamination was also measured employing an ATP meter. More than half of the tested hands and surfaces in the office were contaminated with MS-2 within 4 h. Next, an intervention was conducted, and each scenario was repeated. Half of the participating employees were provided hand sanitizer, facial tissues, and disinfecting wipes, and were instructed in their use. A significant (p < 0.05) reduction was observed in the number of surfaces contaminated with virus. This reduction in viral spread was evident from the results of both viral culture and the surface ATP measurements, although there was no direct correlation between ATP measurements with respect to viral concentration. Although ATP does not measure viruses, these results demonstrate that ATP measurements could be useful for evaluating the effectiveness of hygiene interventions aimed at preventing viral spread in the workplace.

  10. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Jarillo-Herrero, Pablo [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

    2017-02-07

    This is the final report of our research program on electronic transport experiments on Topological Insulator (TI) devices, funded by the DOE Office of Basic Energy Sciences. TI-based electronic devices are attractive as platforms for spintronic applications, and for detection of emergent properties such as Majorana excitations , electron-hole condensates , and the topological magneto-electric effect . Most theoretical proposals envision geometries consisting of a planar TI device integrated with materials of distinctly different physical phases (such as ferromagnets and superconductors). Experimental realization of physics tied to the surface states is a challenge due to the ubiquitous presence of bulk carriers in most TI compounds as well as degradation during device fabrication.

  11. Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid

    Science.gov (United States)

    Progovac, Ana M.; Chen, Pei; Mullin, Brian; Hou, Sherry

    2016-01-01

    Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, “how do you feel today?” We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible. PMID:27752278

  12. Novel Use of Natural Language Processing (NLP to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid

    Directory of Open Access Journals (Sweden)

    Benjamin L. Cook

    2016-01-01

    Full Text Available Natural language processing (NLP and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12. Predictor variables included structured items (e.g., relating to sleep and well-being and responses to one unstructured question, “how do you feel today?” We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4 were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

  13. Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

    Science.gov (United States)

    Cook, Benjamin L; Progovac, Ana M; Chen, Pei; Mullin, Brian; Hou, Sherry; Baca-Garcia, Enrique

    2016-01-01

    Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

  14. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Webb, Robert C. [Texas A& M University; Kamon, Teruki [Texas A& M University; Toback, David [Texas A& M University; Safonov, Alexei [Texas A& M University; Dutta, Bhaskar [Texas A& M University; Dimitri, Nanopoulos [Texas A& M University; Pope, Christopher [Texas A& M University; White, James [Texas A& M University

    2013-11-18

    Overview The High Energy Physics Group at Texas A&M University is submitting this final report for our grant number DE-FG02-95ER40917. This grant has supported our wide range of research activities for over a decade. The reports contained here summarize the latest work done by our research team. Task A (Collider Physics Program): CMS & CDF Profs. T. Kamon, A. Safonov, and D. Toback co-lead the Texas A&M (TAMU) collider program focusing on CDF and CMS experiments. Task D: Particle Physics Theory Our particle physics theory task is the combined effort of Profs. B. Dutta, D. Nanopoulos, and C. Pope. Task E (Underground Physics): LUX & NEXT Profs. R. Webb and J. White(deceased) lead the Xenon-based underground research program consisting of two main thrusts: the first, participation in the LUX two-phase xenon dark matter search experiment and the second, detector R&D primarily aimed at developing future detectors for underground physics (e.g. NEXT and LZ).

  15. Combined Value of Red Blood Cell Distribution Width and Global Registry of Acute Coronary Events Risk Score for Predicting Cardiovascular Events in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

    Directory of Open Access Journals (Sweden)

    Na Zhao

    Full Text Available Global Registry of Acute Coronary Events (GRACE risk score and red blood cell distribution width (RDW content can both independently predict major adverse cardiac events (MACEs in patients with acute coronary syndrome (ACS. We investigated the combined predictive value of RDW and GRACE risk score for cardiovascular events in patients with ACS undergoing percutaneous coronary intervention (PCI for the first time. We enrolled 480 ACS patients. During a median follow-up time of 37.2 months, 70 (14.58% patients experienced MACEs. Patients were divided into tertiles according to the baseline RDW content (11.30-12.90, 13.00-13.50, 13.60-16.40. GRACE score was positively correlated with RDW content. Multivariate Cox analysis showed that both GRACE score and RDW content were independent predictors of MACEs (hazard ratio 1.039; 95% confidence interval [CI] 1.024-1.055; p < 0.001; 1.699; 1.294-2.232; p < 0.001; respectively. Furthermore, Kaplan-Meier analysis demonstrated that the risk of MACEs increased with increasing RDW content (p < 0.001. For GRACE score alone, the area under the receiver operating characteristic (ROC curve for MACEs was 0.749 (95% CI: 0.707-0.787. The area under the ROC curve for MACEs increased to 0.805 (0.766-0.839, p = 0.034 after adding RDW content. The incremental predictive value of combining RDW content and GRACE risk score was significantly improved, also shown by the net reclassification improvement (NRI = 0.352, p < 0.001 and integrated discrimination improvement (IDI = 0.023, p = 0.002. Combining the predictive value of RDW and GRACE risk score yielded a more accurate predictive value for long-term cardiovascular events in ACS patients who underwent PCI as compared to each measure alone.

  16. Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States

    Directory of Open Access Journals (Sweden)

    Chalee Engelhard

    2016-06-01

    Full Text Available The study aimed at finding the value of letters of recommendation in predicting professional behavior problems in the clinical portion of a Doctor of Physical Therapy program learning cohorts from 2009-2014 in the United States. De-identified records of 137 Doctor of Physical Therapy graduates were examined by the descriptive statistics and comparison analysis. Thirty letters of recommendation were investigated based on grounded theory from 10 student applications with 5 randomly selected students of interest and 5 non-students of interest. Critical thinking, organizational skills, and judgement were statistically significant and quantitative differentiating characteristics. Qualitatively, significant characteristics of the student of interest included effective communication and cultural competency. Meanwhile, those of nonstudents of interest included conflicting personality descriptor, commitment to learning, balance, teamwork skills, potential future success, compatible learning skills, effective leadership skills, and emotional intelligence. Emerged significant characteristics did not consistently match common non-professional behavior issues encountered in clinic. Pre-admission data and letters of recommendation appear of limited value in predicting professional behavior performance in clinic.

  17. Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States.

    Science.gov (United States)

    Engelhard, Chalee; Leugers, Rebecca; Stephan, Jenna

    2016-01-01

    The study aimed at finding the value of letters of recommendation in predicting professional behavior problems in the clinical portion of a Doctor of Physical Therapy program learning cohorts from 2009-2014 in the United States. De-identified records of 137 Doctor of Physical Therapy graduates were examined by the descriptive statistics and comparison analysis. Thirty letters of recommendation were investigated based on grounded theory from 10 student applications with 5 randomly selected students of interest and 5 non-students of interest. Critical thinking, organizational skills, and judgement were statistically significant and quantitative differentiating characteristics. Qualitatively, significant characteristics of the student of interest included effective communication and cultural competency. Meanwhile, those of nonstudents of interest included conflicting personality descriptor, commitment to learning, balance, teamwork skills, potential future success, compatible learning skills, effective leadership skills, and emotional intelligence. Emerged significant characteristics did not consistently match common non-professional behavior issues encountered in clinic. Pre-admission data and letters of recommendation appear of limited value in predicting professional behavior performance in clinic.

  18. Glycation and carboxymethyllysine levels in skin collagen predict the risk of future 10-year progression of diabetic retinopathy and nephropathy in the diabetes control and complications trial and epidemiology of diabetes interventions and complications participants with type 1 diabetes.

    Science.gov (United States)

    Genuth, Saul; Sun, Wanjie; Cleary, Patricia; Sell, David R; Dahms, William; Malone, John; Sivitz, William; Monnier, Vincent M

    2005-11-01

    Several mechanistic pathways linking hyperglycemia to diabetes complications, including glycation of proteins and formation of advanced glycation end products (AGEs), have been proposed. We investigated the hypothesis that skin collagen glycation and AGEs predict the risk of progression of microvascular disease. We measured glycation products in the skin collagen of 211 Diabetes Control and Complications Trial (DCCT) volunteers in 1992 who continued to be followed in the Epidemiology of Diabetes Interventions and Complications study for 10 years. We determined whether the earlier measurements of glycated collagen and AGE levels correlated with the risk of progression of retinopathy and nephropathy from the end of the DCCT to 10 years later. In multivariate analyses, the combination of furosine (glycated collagen) and carboxymethyllysine (CML) predicted the progression of retinopathy (chi2 = 59.4, P retinopathy) and (chi2 = 12.8, P = 0.0016 for nephropathy). The predictive effect of A1C vanished after adjustment for furosine and CML (chi2 = 0.0002, P = 0.987 for retinopathy and chi2 = 0.0002, P = 0.964 for nephropathy). Furosine explained more of the variation in the 10-year progression of retinopathy and nephropathy than did CML. These results strengthen the role of glycation of proteins and AGE formation in the pathogenesis of retinopathy and nephropathy. Glycation and subsequent AGE formation may explain the risk of these complications associated with prior A1C and provide a rational basis for the phenomenon of "metabolic memory" in the pathogenesis of these diabetes complications.

  19. Combined Value of Red Blood Cell Distribution Width and Global Registry of Acute Coronary Events Risk Score for Predicting Cardiovascular Events in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

    Science.gov (United States)

    Zhao, Na; Mi, Lan; Liu, Xiaojun; Pan, Shuo; Xu, Jiaojiao; Xia, Dongyu; Liu, Zhongwei; Zhang, Yong; Xiang, Yu; Yuan, Zuyi; Guan, Gongchang; Wang, Junkui

    2015-01-01

    Global Registry of Acute Coronary Events (GRACE) risk score and red blood cell distribution width (RDW) content can both independently predict major adverse cardiac events (MACEs) in patients with acute coronary syndrome (ACS). We investigated the combined predictive value of RDW and GRACE risk score for cardiovascular events in patients with ACS undergoing percutaneous coronary intervention (PCI) for the first time. We enrolled 480 ACS patients. During a median follow-up time of 37.2 months, 70 (14.58%) patients experienced MACEs. Patients were divided into tertiles according to the baseline RDW content (11.30-12.90, 13.00-13.50, 13.60-16.40). GRACE score was positively correlated with RDW content. Multivariate Cox analysis showed that both GRACE score and RDW content were independent predictors of MACEs (hazard ratio 1.039; 95% confidence interval [CI] 1.024-1.055; p risk of MACEs increased with increasing RDW content (p value of combining RDW content and GRACE risk score was significantly improved, also shown by the net reclassification improvement (NRI = 0.352, p value of RDW and GRACE risk score yielded a more accurate predictive value for long-term cardiovascular events in ACS patients who underwent PCI as compared to each measure alone.

  20. Logical network of genotoxic stress-induced NF-kappaB signal transduction predicts putative target structures for therapeutic intervention strategies

    Directory of Open Access Journals (Sweden)

    Rainer Poltz

    2009-12-01

    Full Text Available Rainer Poltz1, Raimo Franke1,#, Katrin Schweitzer1, Steffen Klamt2, Ernst-Dieter Gilles2, Michael Naumann11Institute of Experimental Internal Medicine, Otto von Guericke University, Magdeburg, Germany; 2Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; #Present address: Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, GermanyAbstract: Genotoxic stress is induced by a broad range of DNA-damaging agents and could lead to a variety of human diseases including cancer. DNA damage is also therapeutically induced for cancer treatment with the aim to eliminate tumor cells. However, the effectiveness of radio- and chemotherapy is strongly hampered by tumor cell resistance. A major reason for radio- and chemotherapeutic resistances is the simultaneous activation of cell survival pathways resulting in the activation of the transcription factor nuclear factor-kappa B (NF-κB. Here, we present a Boolean network model of the NF-κB signal transduction induced by genotoxic stress in epithelial cells. For the representation and analysis of the model, we used the formalism of logical interaction hypergraphs. Model reconstruction was based on a careful meta-analysis of published data. By calculating minimal intervention sets, we identified p53-induced protein with a death domain (PIDD, receptor-interacting protein 1 (RIP1, and protein inhibitor of activated STAT y (PIASy as putative therapeutic targets to abrogate NF-κB activation resulting in apoptosis. Targeting these structures therapeutically may potentiate the effectiveness of radio- and chemotherapy. Thus, the presented model allows a better understanding of the signal transduction in tumor cells and provides candidates as new therapeutic target structures.Keywords: apoptosis, Boolean network, cancer therapy, DNA-damage response, NF-κB

  1. A Malaria Ecology Index Predicted Spatial and Temporal Variation of Malaria Burden and Efficacy of Antimalarial Interventions Based on African Serological Data.

    Science.gov (United States)

    McCord, Gordon C; Anttila-Hughes, Jesse K

    2017-03-01

    AbstractReducing the global health burden of malaria is complicated by weak reporting systems for infectious diseases and a paucity of vital statistics registration. This limits our ability to predict changes in malaria health burden intensity, target antimalarial resources where needed, and identify malaria impacts in retrospective data. We refined and deployed a temporally and spatially varying Malaria Ecology Index (MEI) incorporating climatological and ecological data to estimate malaria transmission strength and validate it against cross-sectional serology data from 39,875 children from seven sub-Saharan African countries. The MEI is strongly associated with malaria burden; a 1 standard deviation higher MEI is associated with a 50-117% increase in malaria risk and a 3-5 g/dL lower level of Hg. Results show that the relationship between malaria ecology and disease burden is attenuated with sufficient coverage of insecticide treated nets (ITNs) or indoor residual spraying (IRS). Having both ITNs and IRS reduce the added risk from adverse malaria ecology conditions by half. Readily available climate and ecology data can be used to estimate the spatial and temporal variation in malaria disease burden, providing a feasible alternative to direct surveillance. This will help target resources for malaria programs in the absence of national coverage of active case detection systems, and facilitate malaria research using retrospective health data.

  2. AAC and Early Intervention for Children with Cerebral Palsy: Parent Perceptions and Child Risk Factors.

    Science.gov (United States)

    Smith, Ashlyn L; Hustad, Katherine C

    2015-01-01

    The current study examined parent perceptions of communication, the focus of early intervention goals and strategies, and factors predicting the implementation of augmentative and alternative communication (AAC) for 26 two-year-old children with cerebral palsy. Parents completed a communication questionnaire and provided early intervention plans detailing child speech and language goals. Results indicated that receptive language had the strongest association with parent perceptions of communication. Children who were not talking received a greater number of intervention goals, had a greater variety of goals, and had more AAC goals than children who were emerging and established talkers. Finally, expressive language had the strongest influence on AAC decisions. Results are discussed in terms of the relationship between parent perceptions and language skills, communication as an emphasis in early intervention, AAC intervention decisions, and the importance of receptive language.

  3. Delta neutrophil index as a promising prognostic marker of emergent surgical intervention for acute diverticulitis in the emergency department.

    Science.gov (United States)

    Kang, Hee Seung; Cha, Yong Sung; Park, Kyung Hye; Hwang, Sung Oh

    2017-01-01

    Early identification of patients with acute diverticulitis who require emergent surgical intervention in the emergency department (ED) is important to the physician. Although computed tomography (CT) has an important role in evaluating the severity of diverticulitis, its findings alone may not predict the need for emergent surgical intervention in all patients with acute diverticulitis in the ED. Serum inflammation markers may help to differentiate severity of acute diverticulitis and predict the need for surgical intervention in clinical practice. No information is currently available on the clinical usefulness of the delta neutrophil index (DNI), with respect to the prediction of emergent surgical intervention in patients with acute diverticulitis at the ED. This was a retrospective observational study of consecutive adult patients with acute diverticulitis confirmed by CT in the ED, between January 2014 and December 2016. Recruited patients were divided into two groups: emergent surgical intervention and no surgical intervention. The following laboratory serum parameters were examined in the ED: DNI value, C-reactive protein (CRP) levels, white blood cell count, neutrophil count, and neutrophil-to-lymphocyte ratio (NLR). The patients were also examined for the presence or absence of complications by CT. A total of 132 patients were finally included in the study, with the emergent surgical intervention group constituting 52 patients. The median DNI value, CRP levels, neutrophil count, and NLR were significantly higher in the emergent surgical intervention group than in the no surgical intervention group. The area under the curve for predicting emergent surgical intervention, using the DNI was significantly higher than that of CRP levels, neutrophil count, or NLR. Moreover, the combination of initial DNI and CT was most powerful diagnostic modality. DNI values measured at the ED combined with CT were good predictors for emergent surgical intervention in acute

  4. What psychological and physical changes predict patients' attainment of personally meaningful goals six months following a CBT based pain management intervention?

    Science.gov (United States)

    Oliver, Sarah; Fisher, Keren; Childs, Susan

    2017-11-01

    To examine the influence of demographic measures, and changes in physical ability, pain, self-efficacy and emotional distress on Goal Attainment Scaling (GAS) scores, after a 15-day CBT based pain management programme. Chronic pain patients (N = 257) were referred; 225 (88%) completed the programme and were invited for follow up six months later. One hundred and sixty-two (63%), (mean age 47.7, 71% female) completed the reassessment procedures. GAS scores (which were also repeated at the end the programme), an 11-point Pain Numerical Rating Scale, Pain Self-Efficacy Questionnaire, Hospital Anxiety and Depression Scale, distance walked in 5 mins, number of sit/stand repetitions in 1 min and number of stairs climbed in 1 min were measured on the first day and six months following the programme. At six months post discharge, changes in goal attainment, physical measures, pain intensity, depression and self-efficacy were observed. Hierarchical regression showed change in GAS was predicted by improvement in walking tolerance and self-efficacy. The achievement of personally important goals was most significantly associated with change in walking ability and self-efficacy, while controlling for the influence of change in pain. Implications for Rehabilitation Chronic pain can reduce psychological and physical functioning, leading to a reduction in meaningful activities. Achievement of personally important activities as measured by Goal Attainment Scaling can be a more sensitive measure of programme outcome than that captured by many other standard measures. Self-efficacy is an important predictor of attainment of patient preferred goals following a CBT based pain management programme, and could be emphasized during treatment along with improved walking ability, to enhance patients' goal achievement.

  5. Refusal to medical interventions.

    Science.gov (United States)

    Palacios, G; Herreros, B; Pacho, E

    2014-10-01

    Refusal to medical interventions is the not acceptance, voluntary and free, of an indicated medical intervention. What the physician should do in case of refusal? It is understandable that the rejection of a validated medical intervention is difficult to accept by the responsible physician when raises the conflict protection of life versus freedom of choice. Therefore it is important to follow some steps to incorporate the most relevant aspects of the conflict. These steps include: 1) Give complete information to patients, informing on possible alternatives, 2) determine whether the patient can decide (age, competency and level of capacity), 3) to ascertain whether the decision is free, 4) analyze the decision with the patient, 5) to persuade, 6) if the patient kept in the rejection decision, consider conscientious objection, 7) take the decision based on the named criteria, 8) finally, if the rejection is accepted, offer available alternatives. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

  6. Larynx preservation after initial non-cisplatin containing combination chemotherapy plus radiotherapy, as opposed to surgical intervention with or without radiotherapy in previously untreated advanced head and neck cancer: final analysis after 12 years follow-up

    Energy Technology Data Exchange (ETDEWEB)

    Price, L.A.; Shaw, H.J.; Hill, B.T. (Imperial Cancer Research Fund, London (United Kingdom). Labs.)

    1993-03-01

    After a median follow-up of 12 years, median overall survival of 73 patients with advanced squamous cell carcinoma of the larynx was 65 months. The 61% of patients responding to two courses of initial schedule A combination chemotherapy, not including cisplatin, and the 81% of patients achieving a final complete remission after definitive local therapy, had median overall survival figures of 95 and 97 months respectively. Overall survival and relapse-free survival in 51 patients treated with radiotherapy only with larynx preservation, were not significantly different from the 21 patients who completed their surgery with pre- or post-operative radiotherapy; median overall figures were 71 versus 65 months. (author).

  7. Interventional neuroradiology

    International Nuclear Information System (INIS)

    Mehta, B.A.; Quint, D.J.; Sanders, W.P.; Patel, S.C.; Boulos, R.S.; Burke, T.H.

    1987-01-01

    This presentation reviews the authors' angiographic approach to interventional cases and demonstrates examples of procedures we have performed including preoperative embolizations (dural, arteriovenous malformations, meningioma, juvenile angiofibroma, gliosarcoma, glomus tympanicum, hemangiopericytoma, and spinal hemangioma), therapeutic interventions (balloon occlusion of cavernous-carotid and vertebral fistulas, intracranial and extracranial aneurysms, and angioplasty of vertebral, external carotid, and subclavian arteries), and pain management (alcohol injection of spine metastases). Potential and actual complications are reviewed

  8. Final 10-year results of the Breast International Group 2-98 phase III trial and the role of Ki67 in predicting benefit of adjuvant docetaxel in patients with oestrogen receptor positive breast cancer.

    Science.gov (United States)

    Sonnenblick, Amir; Francis, Prudence A; Azim, Hatem A; de Azambuja, Evandro; Nordenskjöld, Bo; Gutiérez, Jorge; Quinaux, Emmanuel; Mastropasqua, Mauro G; Ameye, Lieveke; Anderson, Michael; Lluch, Ana; Gnant, Michael; Goldhirsch, Aron; Di Leo, Angelo; Barnadas, Agusti; Cortes-Funes, Hernan; Piccart, Martine; Crown, John

    2015-08-01

    Breast International Group (BIG) 2-98 is a randomised phase III trial that tested the effect of adding docetaxel, either in sequence to or in combination with anthracycline-based adjuvant chemotherapy, in women with node-positive breast cancer (BC). Here, we present the 10-year final trial safety and efficacy analyses. We also report an exploratory analysis on the predictive value of Ki67 for docetaxel efficacy, in the BIG 2-98 and using a pooled analysis of three other randomised trials. 2887 patients were randomly assigned in a 2×2 trial design to one of four treatments. The primary objective was to evaluate the overall efficacy of docetaxel on disease free survival (DFS). Secondary objectives included comparisons of sequential docetaxel versus sequential control arm, safety and overall survival (OS). Ki67 expression was centrally evaluated by immunohistochemistry. After a median follow-up of 10.1years, the addition of docetaxel did not significantly improve DFS or OS (hazard ratio (HR)=0.91, 95% confidence interval (CI)=0.81-1.04; P=0.16 and HR=0.88, 95% CI=0.76-1.03; P=0.11, respectively). Sequential docetaxel did not improve DFS compared to the sequential control arm (HR=0.86, 95% CI=0.72-1.03; P=0.10). In oestrogen receptor (ER)-positive tumours with Ki67⩾14%, the addition of docetaxel resulted in 5.4% improvement in 10-year OS (P=0.03, test for interaction=0.1). In a multivariate model, there was a trend for improved DFS and OS in ER-positive patients with high Ki67 and treated with docetaxel (HR=0.79, 95% CI=0.63-1.01; P=0.05 and HR=0.76, 95% CI=0.57-1.01; P=0.06, respectively). A pooled analysis of four randomised trials showed a benefit of taxanes in highly proliferative ER-positive disease but not in low proliferating tumours (interaction test P=0.01). The DFS benefit previously demonstrated with sequential docetaxel is no longer observed at 10years. However, an exploratory analysis suggested a benefit of docetaxel in patients with highly

  9. A randomised comparison of Conventional versus Intentional straTegy in patients with high Risk prEdiction of Side branch OccLusion in coronary bifurcation interVEntion: rationale and design of the CIT-RESOLVE trial.

    Science.gov (United States)

    Zhang, Dong; Yin, Dong; Song, Chenxi; Zhu, Chengang; Kirtane, Ajay J; Xu, Bo; Dou, Kefei

    2017-06-12

    The intentional strategy (aggressive side branch (SB) protection strategy: elective two-stent strategy or jailed balloon technique) is thought to be associated with lower SB occlusion rate than conventional strategy (provisional two-stent strategy or jailed wire technique). However, most previous studies showed comparable outcomes between the two strategies, probably due to no risk classification of SB occlusion when enrolling patients. There is still no randomised trial compared the intentional and conventional strategy when treating bifurcation lesions with high risk of SB occlusion. We aim to investigate if intentional strategy is associated with significant reduction of SB occlusion rate compared with conventional strategy in high-risk patients. The Conventional versus Intentional straTegy in patients with high Risk prEdiction of Side branch OccLusion in coronary bifurcation interVEntion (CIT-RESOLVE) is a prospective, randomised, single-blind, multicentre clinical trial comparing the rate of SB occlusion between the intentional strategy group and the conventional strategy group (positive control group) in a consecutive cohort of patients with high risk of side branch occlusion defined by V-RESOLVE score, which is a validated angiographic scoring system to evaluate the risk of SB occlusion in bifurcation intervention and used as one of the inclusion criteria to select patients with high SB occlusion risk (V-RESOLVE score ≥12). A total of 21 hospitals from 10 provinces in China participated in the present study. 566 patients meeting all inclusion/exclusion criteria are randomised to either intentional strategy group or conventional strategy group. The primary endpoint is SB occlusion (defined as any decrease in thrombolysis in myocardial infarction flow grade or absence of flow in SB after main vessel stenting). All patients are followed up for 12-month postdischarge. The protocol has been approved by all local ethics committee. The ethics committee have

  10. A Multicomponent Schoolyard Intervention Targeting Children's Recess Physical Activity and Sedentary Behavior: Effects After 1 Year.

    Science.gov (United States)

    Van Kann, Dave H H; de Vries, Sanne I; Schipperijn, Jasper; de Vries, Nanne K; Jansen, Maria W J; Kremers, Stef P J

    2017-11-01

    The aim of the study was to test the 12-month effects of a multicomponent physical activity (PA) intervention at schoolyards on morning recess PA levels of sixth- and seventh-grade children in primary schools, using accelerometry and additional global positioning system data. A quasi-experimental study design was used with 20 paired intervention and control schools. Global positioning system confirmatory analyses were applied to validate attendance at schoolyards during recess. Accelerometer data from 376 children from 7 pairs of schools were included in the final analyses. Pooled intervention effectiveness was tested by multilevel linear regression analyses, whereas effectiveness of intervention components was tested by multivariate linear regression analyses. Children exposed to the multicomponent intervention increased their time spent in light PA (+5.9%) during recess. No pooled effects on moderate to vigorous PA were found. In-depth analyses of intervention components showed that physical schoolyard interventions particularly predicted a decrease in time spent in sedentary behavior during recess at follow-up. Intervention intensity and the school's commitment to the project strengthened this effect. The multicomponent schoolyard PA intervention was effective in making children spend a larger proportion of recess time in light PA, which was most likely the result of a shift from sedentary behavior to light PA.

  11. A Multicomponent Schoolyard Intervention Targeting Children's Recess Physical Activity and Sedentary Behavior: Effects After One Year.

    Science.gov (United States)

    Van Kann, Dave H H; de Vries, S I; Schipperijn, J; de Vries, N K; Jansen, M W J; Kremers, S P J

    2016-10-24

    Background Aim of the study was to test the 12-month effects of a multicomponent physical activity (PA) intervention at schoolyards on recess PA levels of 6th and 7th grade children in primary schools, combining Global Positioning System (GPS) and accelerometry data. Methods A quasi-experimental study design was used with 20 paired intervention and control schools. GPS confirmatory analyses were applied to validate attendance at schoolyards during recess. Data from 376 children from 7 pairs of schools were included in the final analyses. Pooled intervention effectiveness was tested by multilevel linear regression analyses, whereas effectiveness of intervention components was tested by multivariate linear regression analyses. Results Children exposed to the multicomponent intervention increased their time spent in light PA (+5.9%) during recess. No pooled effects on Moderate-to-Vigorous PA were found. In depth-analyses on intervention components showed that physical schoolyard interventions particularly predicted a decrease in time spent in sedentary behavior during recess at follow-up. Intervention intensity and school's commitment to the project strengthened this effect. Conclusions The multicomponent schoolyard PA intervention was effective in making children spend a larger proportion of recess time in light PA, which was most likely the result of a shift from sedentary behavior to light PA.

  12. Inflammatory biomarkers improve clinical prediction of mortality in chronic obstructive pulmonary disease

    DEFF Research Database (Denmark)

    Celli, Bartolome R; Locantore, Nicholas; Yates, Julie

    2012-01-01

    Accurate prediction of mortality helps select patients for interventions aimed at improving outcome.......Accurate prediction of mortality helps select patients for interventions aimed at improving outcome....

  13. Targeting Interventions: Moderators of the Effects of Expressive Writing and Assertiveness Training on the Adjustment of International University Students.

    Science.gov (United States)

    Hijazi, Alaa M; Tavakoli, Shedeh; Slavin-Spenny, Olga M; Lumley, Mark A

    2011-06-01

    Acculturative stress is a common experience for international students and is associated with psychological and physical problems. In a previous study, the authors reported that two stress reduction interventions-expressive writing (EW) and assertiveness training (AT)-had limited overall benefits among international students at an American University. The current analyses of data from that study investigated whether individual differences moderated the effects of EW and AT. Results indicate that greater acculturative stress at baseline predicted greater improvement from both interventions, compared with control. Women benefited more from AT than EW, except that EW improved women's physical symptoms. Men benefited more from EW than AT. Students with limited emotional awareness and expression tended to benefit from both interventions, relative to control. Finally, nation of origin cultural differences generally did not predict outcomes. It is concluded that the benefits of EW and AT and can be enhanced by targeting these interventions to specific subgroups of international students.

  14. Does intergenerational contact reduce Ageism: When and How Contact Interventions Actually Work?

    Directory of Open Access Journals (Sweden)

    Julie Christian

    2014-01-01

    Full Text Available Although the past two decades have seen concrete attempts to reduce ethnic and racial prejudice, relatively little has been done to diminish age related prejudice.  In this paper, we review intergenerational contact interventions have been applied in a real world setting, the results are mixed. While contact interventions are not a panacea, they do constitute a main plank in efforts to redress ageism. We, therefore, examine the types of interventions that are effective, the processes underlying their enhanced impact, and clarifying when and how intergenerational contact can predict more positive attitudes towards the elderly.  Finally, we highlight ways in which findings might be applied to the development of more effective interventions aimed at combating a pervasive stereotype of aging, drawing out lessons for theory and implications for practice.

  15. Interventional Cardiovascular Magnetic Resonance Imaging

    Science.gov (United States)

    Saikus, Christina E.; Lederman, Robert J.

    2010-01-01

    Cardiovascular magnetic resonance (CMR) combines excellent soft-tissue contrast, multiplanar views, and dynamic imaging of cardiac function without ionizing radiation exposure. Interventional cardiovascular magnetic resonance (iCMR) leverages these features to enhance conventional interventional procedures or to enable novel ones. Although still awaiting clinical deployment, this young field has tremendous potential. We survey promising clinical applications for iCMR. Next, we discuss the technologies that allow CMR-guided interventions and, finally, what still needs to be done to bring them to the clinic. PMID:19909937

  16. Empiricist Interventions

    DEFF Research Database (Denmark)

    Munk, Anders Kristian; Abrahamsson, Sebastian

    2012-01-01

    Recent papers by prominent scholars in science and technology studies (notably JohnLaw and Bruno Latour) have crystallized a fundamental disagreement about the scope and purpose of intervention in actor-network theory or what we here choose to bracket as empirical philosophy. While the precept...

  17. Interventional MRI

    Energy Technology Data Exchange (ETDEWEB)

    Fukatsu, Hiroshi [Nagoya Univ. (Japan). School of Medicine

    2002-01-01

    MR guided interventional procedures have become useful clinical tools recently. In this article the authors discuss the usefulness and problems of MR-guided needle biopsy and MR-guided laser induced thermotherapy (LITT) for clinical cases. MR enabled optimal plane monitoring with desired image contrast during the procedure without X-ray irradiation for puncture and tissue sampling. Also only MR could non-invasively provide interstitial temperature information during laser ablation. Bone and soft tissue lesions are likely to be candidates for MR interventions because they are free from any physiological motions, and radiologists should compare MR-guidance with CT- or US guidance for individual cases in order to achieve a less invasive diagnosis or treatment. (author)

  18. Spinal interventions.

    Science.gov (United States)

    Ruiz Santiago, F; Filippiadis, D K; Guzmán Álvarez, L; Martínez Martínez, A; Castellano, M M

    2016-04-01

    We review the state of the art in imaging-guided percutaneous interventional procedures used to diagnose and/or treat the diverse causes of back pain. These procedures can be used for diagnosis, treatment, or both. They are focused on the vertebral bodies, the facet joints, the intervertebral discs, and the nerve structures. Copyright © 2015 SERAM. Published by Elsevier España, S.L.U. All rights reserved.

  19. The Value of CHA2DS2VASC Score in Predicting All-Cause Mortality in Patients with ST-Segment Elevation Myocardial Infarction Who Have Undergone Primary Percutaneous Coronary Intervention.

    Science.gov (United States)

    Keskin, Kudret; Sezai Yıldız, Süleyman; Çetinkal, Gökhan; Aksan, Gökhan; Kilci, Hakan; Çetin, Şükrü; Sığırcı, Serhat; Kılıçkesmez, Kadriye

    2017-11-01

    Acute coronary syndrome is the most common cause of cardiac morbidity and death. Various scoring systems have been developed in order to identify patients who are at risk for adverse outcome and may benefit from more aggressive and effective therapies. This study was designed to evaluate the CHA 2 DS 2 VASC score as a predictor of mortality inpatients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention (p-PCI). We evaluated 300 patients diagnosed with ST-elevation myocardial infarction who underwent p-PCI and calculated their CHA 2 DS 2 VASC scores. According to their CHA 2 DS 2 VASC scores, patients were divided into three groups. Group 1: 0-1 points (n = 101), Group 2: 2-3 points (n = 129), and Group 3: 4-9 points (n = 70). The mean, median and minimum duration of follow-up were 21.7 ± 9.4, 21, and 12 months, respectively. All-cause mortality was defined as the primary endpoint of the study. All-cause mortality was 4% in Group 1, 8.5% in Group 2 and 27.1% in Group 3 respectively. Kaplan-Meier analysis showed that Group 3 (CHA 2 DS 2 VASC ≥ 4) had a significantly higher incidence of death [p (log-rank) < 0.001]. In ROC analysis, AUC values for in hospital, 12-month and long-term mortality were 0.88 (0.77-0.99 95% CI), 0.82 (0.73-0.92 95% CI) and 0.79 (0.69-0.88 95% CI), respectively. CHA 2 DS 2 VASC score can be used for predicting both in-hospital, 12-month and long-term mortality in patients with STEMI who have undergone p-PCI.

  20. An updated bleeding model to predict the risk of post-procedure bleeding among patients undergoing percutaneous coronary intervention: a report using an expanded bleeding definition from the National Cardiovascular Data Registry CathPCI Registry.

    Science.gov (United States)

    Rao, Sunil V; McCoy, Lisa A; Spertus, John A; Krone, Ronald J; Singh, Mandeep; Fitzgerald, Susan; Peterson, Eric D

    2013-09-01

    This study sought to develop a model that predicts bleeding complications using an expanded bleeding definition among patients undergoing percutaneous coronary intervention (PCI) in contemporary clinical practice. New knowledge about the importance of periprocedural bleeding combined with techniques to mitigate its occurrence and the inclusion of new data in the updated CathPCI Registry data collection forms encouraged us to develop a new bleeding definition and risk model to improve the monitoring and safety of PCI. Detailed clinical data from 1,043,759 PCI procedures at 1,142 centers from February 2008 through April 2011 participating in the CathPCI Registry were used to identify factors associated with major bleeding complications occurring within 72 h post-PCI. Risk models (full and simplified risk scores) were developed in 80% of the cohort and validated in the remaining 20%. Model discrimination and calibration were assessed in the overall population and among the following pre-specified patient subgroups: females, those older than 70 years of age, those with diabetes mellitus, those with ST-segment elevation myocardial infarction, and those who did not undergo in-hospital coronary artery bypass grafting. Using the updated definition, the rate of bleeding was 5.8%. The full model included 31 variables, and the risk score had 10. The full model had similar discriminatory value across pre-specified subgroups and was well calibrated across the PCI risk spectrum. The updated bleeding definition identifies important post-PCI bleeding events. Risk models that use this expanded definition provide accurate estimates of post-PCI bleeding risk, thereby better informing clinical decision making and facilitating risk-adjusted provider feedback to support quality improvement. Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  1. Zero-Flow Pressure Measured Immediately After Primary Percutaneous Coronary Intervention for ST-Segment Elevation Myocardial Infarction Provides the Best Invasive Index for Predicting the Extent of Myocardial Infarction at 6 Months: An OxAMI Study (Oxford Acute Myocardial Infarction).

    Science.gov (United States)

    Patel, Niket; Petraco, Ricardo; Dall'Armellina, Erica; Kassimis, George; De Maria, Giovanni Luigi; Dawkins, Sam; Lee, Regent; Prendergast, Bernard D; Choudhury, Robin P; Forfar, John C; Channon, Keith M; Davies, Justin; Banning, Adrian P; Kharbanda, Rajesh K

    2015-09-01

    The aim of this study was to define which measure of microvascular best predicts the extent of left ventricular (LV) infarction. Microvascular injury after ST-segment elevation myocardial infarction (STEMI) is an important determinant of outcome. Several invasive measures of the microcirculation at primary percutaneous coronary intervention (PPCI) have been described. One such measure is zero-flow pressure (Pzf), the calculated pressure at which coronary flow would cease. In 34 STEMI patients, Pzf, hyperemic microvascular resistance (hMR), and index of microcirculatory resistance (IMR) were derived using thermodilution flow/pressure and Doppler flow/pressure wire assessment of the infarct-related artery following PPCI. The extent of infarction was determined by blinded late gadolinium enhancement on cardiac magnetic resonance at 6 months post-PPCI. Infarction of ≥24% total LV mass was used as a categorical cutoff in receiver-operating characteristic curve analysis. Pzf was superior to both hMR and IMR for predicting ≥24% infarction area under the curve: 0.94 for Pzf versus 0.74 for hMR (p = 0.04) and 0.54 for IMR (p = 0.003). Pzf ≥42 mm Hg was the optimal cutoff value, offering 100% sensitivity and 73% specificity. Patients with Pzf ≥42 mm Hg also had a lower salvage index (61.3 ± 8.1 vs. 44.4 ± 16.8, p = 0.006) and 6-month ejection fraction (62.4 ± 3.6 vs. 49.9 ± 9.6, p = 0.002). In addition, there were significant direct relationships between Pzf and troponin area under the curve (rho = 0.55, p = 0.002), final infarct mass (rho = 0.75, p infarction and percent transmurality of infarction (rho = 0.77 and 0.74, respectively, p myocardial salvage index (rho = -0.53, p = 0.01) and 6-month ejection fraction (rho = -0.73, p = 0.0001). Pzf measured at the time of PPCI is a better predictor of the extent of myocardial infarction than hMR or IMR. Pzf may provide important prognostic information at the time of PPCI and merits further

  2. Early intervention surveillance strategies (EISS) in dental student clinical performance: a mathematical approach.

    Science.gov (United States)

    Tennant, Marc; Kruger, Estie

    2005-12-01

    Graduating dental practitioners requires the mastery of a number of skills and a significant body of basic information. Dental education is a complex combination of didactic and physical skill learning processes. It is necessary to develop appropriate tools to measure student clinical performance to allow the provision of interventional strategies at the right time targeted at the right individuals. In this study, an approach to early intervention surveillance strategies was developed that is cost-effective, transparent, and robust based on mathematical predictions of student clinical achievements. Using a cohort of students' clinical activity profile, a polynomial pair was developed that represents the predictive function of low and high achieving students. This polynomial pair can then be applied to students to predict their final achievement based on their current status. The polynomial methodology is adaptable to local variation such as access to clinical facilities. The early intervention surveillance strategy developed in this study provides a simple, cost-effective, predictive risk assessment system that relies on data sets already collected in most dental schools and can be completed without the need for significant human intervention. The mathematical approach allows the focusing of educational support towards students that require the assistance, thus augmenting the better use of resources.

  3. Interventional Oncology.

    Science.gov (United States)

    Culp, William T N

    2016-05-01

    The approach to the treatment of cancer in veterinary patients is constantly evolving. Whenever possible and practical, surgery is pursued because it provides the greatest opportunity for tumor control and may result in a cure. Other cancer treatments, such as chemotherapy and radiation therapy, are commonplace in veterinary medicine, and the data outlining treatment regimens are growing rapidly. An absence of treatment options for veterinary cancer patients, however, has historically existed for some tumors. Interventional oncology options have opened the door to the potential for better therapeutic response and improved patient quality of life. Copyright © 2016 Elsevier Inc. All rights reserved.

  4. THE LIMITS OF POSITIVE INTERVENTIONS

    Directory of Open Access Journals (Sweden)

    Gonzalo Hervás

    2017-01-01

    Full Text Available Positive interventions have been developed extensively in recent years and they have been tested and applied in very diverse settings. Despite the fact that most of the findings regarding their efficacy can be considered from positive to very positive, the possibility that, in some cases, positive interventions may have unexpected or even iatrogenic effects cannot be discarded. In this article, research from several sources is reviewed in order to inform decisions about what interventions might be inadequate for cases with specific characteristics or vulnerability traits. Finally, the importance of using positive interventions with caution and rigor even when working with individuals who do not have overt problems or psychological disorders is discussed.

  5. A mathematical model for predicting the probability of acute mortality in a human population exposed to accidentally released airborne radionuclides. Final report for Phase I of the project: early effects of inhaled radionuclides

    International Nuclear Information System (INIS)

    Filipy, R.E.; Borst, F.J.; Cross, F.T.; Park, J.F.; Moss, O.R.

    1980-06-01

    The report presents a mathematical model for the purpose of predicting the fraction of human population which would die within 1 year of an accidental exposure to airborne radionuclides. The model is based on data from laboratory experiments with rats, dogs and baboons, and from human epidemiological data. Doses from external, whole-body irradiation and from inhaled, alpha- and beta-emitting radionuclides are calculated for several organs. The probabilities of death from radiation pneumonitis and from bone marrow irradiation are predicted from doses accumulated within 30 days of exposure to the radioactive aerosol. The model is compared with existing similar models under hypothetical exposure conditions. Suggestions for further experiments with inhaled radionuclides are included

  6. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Schuur, Edward [Northern Arizona Univ., Flagstaff, AZ (United States); Luo, Yiqi [Univ. of Oklahoma, Norman, OK (United States)

    2016-12-01

    This final grant report is a continuation of the final grant report submitted for DE-SC0006982 as the Principle Investigator (Schuur) relocated from the University of Florida to Northern Arizona University. This report summarizes the original project goals, as well as includes new project activities that were completed in the final period of the project.

  7. Considerations for climate intervention research

    Science.gov (United States)

    Duren, R. M.

    2015-12-01

    Action to mitigate greenhouse gas emissions is essential for addressing rapid environmental change in the Earth's polar regions. However, the potential for threshold crossing events in polar climate elements with untenable consequences for society and ecosystems may motivate consideration of additional "climate interventions". A recent National Research Council study identified risks and research needs associated with global scale intervention options such as atmospheric carbon removal and albedo modification. In addition to the issues raised by the NRC panel, any serious study of climate interventions would likely transcend the traditional scope of earth system science. Current observational systems are not designed to detect, attribute or monitor climate intervention attempts and would warrant significant augmentation. Potential field experiments to improve scientific understanding of albedo modification options would likely span a huge range of physical scales, material and energy (some in-family with established atmospheric research but others that would be wholly unprecedented). Targeted interventions focused on polar climate elements have received even less study than global-scale intervention and their consideration could present unique challenges. Finally, research priorities have not yet been informed by any strategy or scenarios about where and when climate interventions might fit in society's portfolio of climate responses.

  8. Monitoring and regulation of learning in medical education: the need for predictive cues.

    Science.gov (United States)

    de Bruin, Anique B H; Dunlosky, John; Cavalcanti, Rodrigo B

    2017-06-01

    Being able to accurately monitor learning activities is a key element in self-regulated learning in all settings, including medical schools. Yet students' ability to monitor their progress is often limited, leading to inefficient use of study time. Interventions that improve the accuracy of students' monitoring can optimise self-regulated learning, leading to higher achievement. This paper reviews findings from cognitive psychology and explores potential applications in medical education, as well as areas for future research. Effective monitoring depends on students' ability to generate information ('cues') that accurately reflects their knowledge and skills. The ability of these 'cues' to predict achievement is referred to as 'cue diagnosticity'. Interventions that improve the ability of students to elicit predictive cues typically fall into two categories: (i) self-generation of cues and (ii) generation of cues that is delayed after self-study. Providing feedback and support is useful when cues are predictive but may be too complex to be readily used. Limited evidence exists about interventions to improve the accuracy of self-monitoring among medical students or trainees. Developing interventions that foster use of predictive cues can enhance the accuracy of self-monitoring, thereby improving self-study and clinical reasoning. First, insight should be gained into the characteristics of predictive cues used by medical students and trainees. Next, predictive cue prompts should be designed and tested to improve monitoring and regulation of learning. Finally, the use of predictive cues should be explored in relation to teaching and learning clinical reasoning. Improving self-regulated learning is important to help medical students and trainees efficiently acquire knowledge and skills necessary for clinical practice. Interventions that help students generate and use predictive cues hold the promise of improved self-regulated learning and achievement. This framework is

  9. Final Focus Test Stand final report

    CERN Document Server

    Jeremie, A; Burrows, P

    2013-01-01

    Future Linear colliders will need particle beam sizes in the nanometre range. The beam also needs to be stable all along the beam line and especially at the Final Focus section. A dedicated Final Focus test stand has been used for this study and is comprised of several sub-parts. First there is the Stabilisation/Isolation system with sensors and actuators stabilizing down to sub-nanometre level. Then the Magnet itself needs to comply with very specific design constraints. In addition to the mechanical items, the beam can be stabilized acting on the trajectory directly and Beam-based controls have been developed and tested on different accelerator facilities.

  10. Crisis Intervention With Victims of Rape

    Science.gov (United States)

    Fox, Sandra Sutherland; Scherl, Donald J.

    1972-01-01

    This article describes three predictable and sequential phases that represent a normal cycle of emotional responses by victims of sexual assualt. A series of interventions was developed to help patients work through each phase as smoothly as possible. (Author)

  11. Intervention principles: Theory and practice

    International Nuclear Information System (INIS)

    Jensen, P.H.; Crick, M.J.

    2000-01-01

    conditions and the circumstances of the accident. Only with suitable models can they be accurately interpreted in terms of avertable individual or collective doses. This paper will discuss the application of the basic radiation protection principles for intervention to develop generic intervention levels for different protection actions and how these levels can be converted to specific operational intervention levels reflecting site and accident specific factors. In addition, the factors entering the optimisation process will be discussed and also how the uncertainty associated with these factors will influence the optimised intervention levels. Finally, the use of intervention levels in the decision-making process after an accident is discussed. (author)

  12. Relative frequencies of interventional radiology procedures. Type of procedure, modality, dose, patient's gender and age. Final report; Erfassung der relativen Haeufigkeiten verschiedener Massnahmen in der interventionellen Radiologie. Art der Untersuchung, Modalitaet, Dosis, Geschlecht und Alter der Patienten fuer den stationaeren und ambulanten Bereich. Abschlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Heuser, Lothar; Bode-Schnurbus, Lucas [Bochum Univ. Klinikum (Germany). Inst. fuer Diagnostische Radiologie, Interventionelle Radiologie, Neuroradiologie und Nuklearmedizin

    2012-02-15

    The assessment of the relative frequencies of interventional radiology procedures in Germany includes the following chapters: (1) Introduction and scope. (2) Radiological interventions: diagnostics, pain therapy, liver and kidneys, vascular re-opening and extending measures, devascularization, special neuroradiologic therapies. (3) History of AGIR (workgroup vascular diseases and interventional radiology). (4) Software development. (5) Data pool. (6) Categorization of institutes. (7) Statistics: patients data; radiation protection relevant data; CT guided intervention, MR-guided interventions; ultrasound-guided interventions; process quality; retrospective analysis (2000-2003).

  13. Vet Centers. Final rule.

    Science.gov (United States)

    2016-03-02

    The Department of Veterans Affairs (VA) adopts as final an interim final rule that amends its medical regulation that governs Vet Center services. The National Defense Authorization Act for Fiscal Year 2013 (the 2013 Act) requires Vet Centers to provide readjustment counseling services to broader groups of veterans, members of the Armed Forces, including a member of a reserve component of the Armed Forces, and family members of such veterans and members. This final rule adopts as final the regulatory criteria to conform to the 2013 Act, to include new and revised definitions.

  14. Psychosocial Intervention Model

    DEFF Research Database (Denmark)

    Singla, Rashmi

    2007-01-01

    The article is based on a research project drawing upon survey data (N=628) and qualitative interviews (N=60) of youth and their parents belonging to the five largest ethnic minority groups in Denmark i.e. Turkey, former Yugoslavia, Pakistan, Lebanon and Somalia, along with the experiences of psy.......K. as well as Nordic countries. Finally a model for psychosocial intervention is presented which directs attention to the issues of ageism, sexism as well as racism at personal, interpersonal and structural levels....... of psychosocial services for minority youth. The theoretical framework is social psychological, which combines theories of modernization, family relations and effects of discrimination. The article examines youths' interaction with the parents in relation to their intimate partnership formation and dynamics...

  15. ENSO Prediction and Predictability

    Science.gov (United States)

    Cane, M. A.

    2016-12-01

    In 1986 there was one dynamical forecasting model for ENSO and a small handful of statistical and hybrid schemes. Now there are more than 40 models in the IRI-CPC forecast plume, many of them coupled GCMs. Why hasn't forecasting improved more in 30 years? In a 1982 landmark paper, Rasmussen and Carpenter created the canonical El Niño, transforming the inchoate view of the time. Now much research is focuses on ENSO diversity. Is our understanding deeper for this? Has this work properly incorporated the ENSO life cycle of the canonical event? Some eras are more predictable than others. Why? Is it random, or is there a systematic difference in background state? Do we have any idea how predictable ENSO is? Why is the ENSO band 2-7 years? What will become of ENSO in the next century?

  16. CYBER: CHANGING THE LANDSCAPE OF FOREIGN INTERVENTION IN DEMOCRATIC ELECTIONS

    Science.gov (United States)

    intervention. Finally, cyber methods and tools are available to almost anyone at any level. Cyber has lowered the barrier to electoral intervention. As a...result, states should expect electoral intervention via cyber to continue with greater frequency in future elections.

  17. Incidence, predicting factors, and clinical outcomes of periprocedural myocardial infarction after percutaneous coronary intervention for chronic total occlusion in the era of new-generation drug-eluting stents.

    Science.gov (United States)

    Kim, Jin-Ho; Kim, Byeong-Keuk; Kim, Seunghwan; Ahn, Chul-Min; Kim, Jung-Sun; Ko, Young-Guk; Choi, Donghoon; Hong, Myeong-Ki; Jang, Yangsoo

    2017-12-20

    This study aimed to examine predictors and clinical outcomes of periprocedural myocardial infarction (PMI) after chronic total occlusion (CTO) intervention. There are limited data on the clinical implications of PMI after CTO intervention in the new-generation drug-eluting stent (DES) era. We enrolled 337 patients who underwent CTO intervention and met the study criteria. We evaluated the incidence and predictors of PMI, defined as an increase in creatine kinase-MB ≥3× the upper limit of normal (ULN) after intervention and compared the occurrence rates of major adverse cardiac and cerebrovascular events (MACCE, defined as the composite of cardiac death, myocardial infarction, stent thrombosis, target-vessel revascularization, or cerebrovascular accidents) between the PMI and non-PMI groups. PMI occurred in 23 (6.8%) patients after CTO intervention. Significant independent predictors were previous bypass surgery [odds ratio (OR) = 5.52, 95% confidence interval (CI) = 1.17-25.92; P = 0.03], Japan-CTO score ≥3 (OR = 7.06, 95%CI = 2.57-19.39; P PMI group had a significantly higher MACCE rate than the non-PMI group (23.7 vs. 5.6%, P = 0.008 by log-rank test). PMI was an independent predictor of MACCE (HR = 4.26, 95%CI = 1.35-13.43; P = 0.01). The MACCE rate gradually increased in a CK-MB-dependent fashion and was highest in patients with ≥10× ULN (P = 0.005). Previous bypass surgery, high Japan-CTO score, side branch occlusion, and longer procedure time were strongly related to PMI occurrence after CTO intervention. PMI was significantly associated with worse clinical outcomes in the new-generation DES era. © 2017 Wiley Periodicals, Inc.

  18. Aortoiliac interventions

    International Nuclear Information System (INIS)

    Chatziioannou, A.

    2012-01-01

    Full text: Atheromatosis is a systemic disease that involves various vascular beds. The most known risk factors are smoking, diabetes mellitus, dyslipedemia, hypertension, advanced age, black gender and male sex. Occlusive aortoiliac disease is due to atheromatosis in the vast majority of cases and is a common distribution of that pathology. Historically aortoiliac occlusions were treated with surgery. Nowadays, the endovascular minimally invasive techniques have revolutionized the treatment of such lesions. The success rate is extremely high with a technical success of 96%. Long term (5 years) patency of the diseased vessel can be as high as 71%. These results combined to the advent of new materials and techniques have set the new standards for treating aortoiliac occlusive disease. The first TASC recommendations (TASC I) were recently revised (TASC II) and the new guidelines (TASC III) will be shortly published. On the other hand endovascular techniques are not always successful. Technical failure (inability to cross the lesion) is estimated to be approximately 5% in single short iliac occlusions and can rise up to 15- 20% in complex long or multiple occlusive lesions. Possible, although not very frequent, complications are dissection, rupture and distal embolization. In the case of total occlusions we can use different materials and techniques. For example in an acute or subacute total occlusion chemical (urokinase or rtPA), mechanical or aspiration thrombolysis can be implemented. These minimally invasive techniques are of the outmost importance if we consider that the majority of the patients are old with a high rate of cardiac and other co-morbidities and therefore cannot go into surgery. That is the reason why the risk of morbidity and mortality following open surgical intervention remains high (5 - 20%). In chronic lesions we can use rentry catheters, glidewires, laser or thrombolysis/thrombectomy (if the clot is not very 'old'). Nevertheless, it should

  19. Shopper marketing nutrition interventions.

    Science.gov (United States)

    Payne, Collin R; Niculescu, Mihai; Just, David R; Kelly, Michael P

    2014-09-01

    Grocery stores represent a context in which a majority of people's food purchases occur. Considering the nutrition quality of the population's food intake has dramatically decreased, understanding how to improve food choice in the grocery store is paramount to healthier living. In this work, we detail the type of financial resources from which shoppers could draw (i.e., personal income and benefits from government food assistance programs to low income populations) and explain how these financial resources are allocated in the grocery store (i.e., planned, unplanned, error). Subsequently, we identify a conceptual framework for shopper marketing nutrition interventions that targets unplanned fruit and vegetable purchases (i.e., slack, or willingness to spend minus list items). Targeting slack for fresh fruit and vegetable purchases allows retailers to benefit economically (i.e., fruit and vegetables are higher margin) and allows shoppers to improve their nutrition without increasing their budgets (i.e., budget neutrality). We also provide preliminary evidence of what in-store marketing of fresh fruits and vegetables could entail by modifying grocery carts and grocery floors to provide information of what is common, normal, or appropriate fruit and vegetable purchases. In each example, fresh fruit and vegetable purchases increased and evidence suggested shopper budget neutrality. To provide context for these results, we detail measurement tools that can be used to measure shopper behaviors, purchases, and consumption patterns. Finally, we address theoretical, practical, and policy implications of shopper marketing nutrition interventions. Copyright © 2014 Elsevier Inc. All rights reserved.

  20. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Glasser, Alan H. [Fusion Theory and Computation Inc., Kingston, WA (United States)

    2018-02-02

    Final technical report on DE-SC0016106. This is the final technical report for a portion of the multi-institutional CEMM project. This report is centered around 3 publications and a seminar presentation, which have been submitted to E-Link.

  1. WALS Prediction

    NARCIS (Netherlands)

    Magnus, J.R.; Wang, W.; Zhang, Xinyu

    2012-01-01

    Abstract: Prediction under model uncertainty is an important and difficult issue. Traditional prediction methods (such as pretesting) are based on model selection followed by prediction in the selected model, but the reported prediction and the reported prediction variance ignore the uncertainty

  2. Delta neutrophil index as a promising prognostic marker of emergent surgical intervention for acute diverticulitis in the emergency department.

    Directory of Open Access Journals (Sweden)

    Hee Seung Kang

    Full Text Available Early identification of patients with acute diverticulitis who require emergent surgical intervention in the emergency department (ED is important to the physician. Although computed tomography (CT has an important role in evaluating the severity of diverticulitis, its findings alone may not predict the need for emergent surgical intervention in all patients with acute diverticulitis in the ED. Serum inflammation markers may help to differentiate severity of acute diverticulitis and predict the need for surgical intervention in clinical practice. No information is currently available on the clinical usefulness of the delta neutrophil index (DNI, with respect to the prediction of emergent surgical intervention in patients with acute diverticulitis at the ED.This was a retrospective observational study of consecutive adult patients with acute diverticulitis confirmed by CT in the ED, between January 2014 and December 2016. Recruited patients were divided into two groups: emergent surgical intervention and no surgical intervention. The following laboratory serum parameters were examined in the ED: DNI value, C-reactive protein (CRP levels, white blood cell count, neutrophil count, and neutrophil-to-lymphocyte ratio (NLR. The patients were also examined for the presence or absence of complications by CT.A total of 132 patients were finally included in the study, with the emergent surgical intervention group constituting 52 patients. The median DNI value, CRP levels, neutrophil count, and NLR were significantly higher in the emergent surgical intervention group than in the no surgical intervention group. The area under the curve for predicting emergent surgical intervention, using the DNI was significantly higher than that of CRP levels, neutrophil count, or NLR. Moreover, the combination of initial DNI and CT was most powerful diagnostic modality.DNI values measured at the ED combined with CT were good predictors for emergent surgical intervention

  3. Predictive Testing

    Science.gov (United States)

    ... you want to learn. Search form Search Predictive testing You are here Home Testing & Services Testing for ... you make the decision. What Is Predictive Genetic Testing Predictive genetic testing searches for genetic changes, or ...

  4. Traumatic injuries: imaging and intervention in post-traumatic complications (delayed intervention)

    Energy Technology Data Exchange (ETDEWEB)

    Goffette, Pierre P. [Department of Medical Imaging, Saint-Luc University Hospital-Louvain Medical School, Brussels (Belgium); Laterre, Pierre-Francois [Department of Emergency and Critical Care, Saint-Luc University Hospital-Louvain Medical School, Brussels (Belgium)

    2002-05-01

    The nonoperative management (NOM) of abdominal trauma has gained increasing acceptance over the past decade. This approach has been extended to severe trauma patients previously considered as candidates for surgery. Consequently, the incidence of delayed and uncommonly encountered complications has increased. Causes of delayed complications are multiple and include: (a) abnormal or insufficient injury healing process; (b) retention of necrotic tissue; (c) secondary infection of initially sterile collections; and (d) underestimation of injury severity. The purpose of this review article is to explain the role of various imaging modalities in detecting post-traumatic delayed complications and to highlight the usefulness of minimally invasive techniques, including laparoscopy, biliary endoscopy, therapeutic angiography and image-guided drainage. Subsequent complications, which do not necessarily negatively influence the final outcome, are often predictable, virtually obligatory consequences of the successful NOM of high-grade or complex abdominal injuries. Between 50 and 60% of those patients with grade-IV or grade-V liver or splenic lacerations require some type of interventional treatment; therefore, indiscriminate discharge of patients with solid organ injury managed conservatively may be potentially harmful. As the incidence of complications is higher for more severe grade-IV or grade-V liver, spleen, or kidney injuries, scheduled follow-up CT scans may be rational in this subset of patients to identify potential complications amenable to early application of interventional techniques. Follow-up CT scans are unnecessary in stable adults or children with low-grade injury. Delayed splenic or hepatic rupture is one of the major concerns because this type of complication remains difficult to predict and historically often requires emergent surgery. (orig.) (orig.)

  5. Photon final states at the Tevatron

    Energy Technology Data Exchange (ETDEWEB)

    Campanelli, Mario; /University Coll. London

    2008-04-01

    The authors present here several recent measurements involving associate production of photons and jets at the Tevatron. In particular, inclusive photon + met from D0, and photon + b-jets and photon + b-jet + leptons + MET from CDF are described in some detail. These measurements offer a good test of QCD predictions in rather complex final states.

  6. Evaluating prediction uncertainty

    International Nuclear Information System (INIS)

    McKay, M.D.

    1995-03-01

    The probability distribution of a model prediction is presented as a proper basis for evaluating the uncertainty in a model prediction that arises from uncertainty in input values. Determination of important model inputs and subsets of inputs is made through comparison of the prediction distribution with conditional prediction probability distributions. Replicated Latin hypercube sampling and variance ratios are used in estimation of the distributions and in construction of importance indicators. The assumption of a linear relation between model output and inputs is not necessary for the indicators to be effective. A sequential methodology which includes an independent validation step is applied in two analysis applications to select subsets of input variables which are the dominant causes of uncertainty in the model predictions. Comparison with results from methods which assume linearity shows how those methods may fail. Finally, suggestions for treating structural uncertainty for submodels are presented

  7. Transacsys PLC - Final Results

    CERN Multimedia

    2002-01-01

    Final results from Transacsys PLC. A subsidary of this company was set up to develop the CERN EDH system into a commercial product but incurred too much financial loss so the project was cancelled (1/2 page).

  8. Final focus nomenclature

    International Nuclear Information System (INIS)

    Erickson, R.

    1986-01-01

    The formal names and common names for all devices in the final focus system of the SLC are listed. The formal names consist of a device type designator, microprocessor designator, and a four-digit unit number

  9. Final focus test beam

    International Nuclear Information System (INIS)

    1991-03-01

    This report discusses the following: the Final Focus Test Beam Project; optical design; magnets; instrumentation; magnetic measurement and BPM calibration; mechanical alignment and stabilization; vacuum system; power supplies; control system; radiation shielding and personnel protection; infrastructure; and administration

  10. Perforated monolayers. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Regen. Steven L.

    2000-06-01

    This STI is a final report for a DOE-supported program, ''Perforated Monolayers,'' which focused on the fabrication of ultrathin membranes for gas separations based on Langmuir-Blodgett chemistry.

  11. WMO Marine Final Reports

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Final reports of the World Meteorological Organization (WMO) Commission for Marine Meteorology, Commission for Synoptic Meteorology, and Commission for Basic...

  12. Final focus nomenclature

    Energy Technology Data Exchange (ETDEWEB)

    Erickson, R.

    1986-08-08

    The formal names and common names for all devices in the final focus system of the SLC are listed. The formal names consist of a device type designator, microprocessor designator, and a four-digit unit number. (LEW)

  13. Educational intervention for liver transplantation candidates

    OpenAIRE

    Mendes,Karina Dal Sasso; Silva Junior,Orlando de Castro e; Ziviani,Luciana da Costa; Rossin,Fabiana Murad; Zago,Márcia Maria Fontão; Galvão,Cristina Maria

    2013-01-01

    OBJECTIVE: The objective in this study was to analyze candidates' knowledge on the liver transplantation process before and after putting in practice an educational intervention. METHOD: A quasi-experimental, one-group pretest-posttest research design was adopted. The final sample included 15 subjects. Research data were collected between January and March 2010 in three phases, which were: pretest, implementation of the educational intervention (two meetings) and posttest. RESULTS: The result...

  14. Just News 20 Final

    International Development Research Centre (IDRC) Digital Library (Canada)

    two-way messages solicit responses to identify high-risk cases. For example, new mothers are reminded that their babies can be immunised for free at their local health centre and pregnant women are prompted to take iron supplements. Responses to periodic queries can alert healthcare workers when urgent interventions ...

  15. Climate prediction and predictability

    Science.gov (United States)

    Allen, Myles

    2010-05-01

    Climate prediction is generally accepted to be one of the grand challenges of the Geophysical Sciences. What is less widely acknowledged is that fundamental issues have yet to be resolved concerning the nature of the challenge, even after decades of research in this area. How do we verify or falsify a probabilistic forecast of a singular event such as anthropogenic warming over the 21st century? How do we determine the information content of a climate forecast? What does it mean for a modelling system to be "good enough" to forecast a particular variable? How will we know when models and forecasting systems are "good enough" to provide detailed forecasts of weather at specific locations or, for example, the risks associated with global geo-engineering schemes. This talk will provide an overview of these questions in the light of recent developments in multi-decade climate forecasting, drawing on concepts from information theory, machine learning and statistics. I will draw extensively but not exclusively from the experience of the climateprediction.net project, running multiple versions of climate models on personal computers.

  16. Nutritional Intervention and Breakfast Behavior of Kindergartens.

    Science.gov (United States)

    Gao, Yongqing; Cai, Chunsheng; Li, Jian; Sun, Wenjie

    2016-03-01

    To examine the effect of nutritional education on children's breakfast patterns. A kindergarten based nutrition intervention was started in September 2001 among 8 kindergartens in Hefei with a total of 2,012 children aged 4-6 years and their parent pairs. Monthly nutrition education sessions were held over two semesters in kindergartens part of the intervention arm. The approach in education and the content of other activities were uniform across all the kindergartens. A validated questionnaire was used to record breakfast behavior over 7 days including at least one weekend. The parents recorded the children's breakfast pattern (frequency, time, and food selection) at baseline, middle, and end of the study. After intervention, there were significant differences at the final stage, but none at the baseline before intervention. There were changes not only in breakfast frequency, but also in the breakfast selection. The breakfast pattern of Chinese children can be modified through nutrition education after a long term intervention.

  17. Predictive factors for disability outcome at twenty weeks and two years following a pain self-management group intervention in patients with persistent neck pain in primary health care.

    Science.gov (United States)

    Gustavsson, Catharina; Bergström, Jakob; Denison, Eva; von Koch, Lena

    2013-02-01

    To explore possible predictors associated with short-term (post-treatment) and long-term (2 years) treatment success in terms of pain-related disability for patients with persistent neck pain following a pain and stress self-management intervention (PASS). Data from 77 participants assigned to PASS in a randomized controlled trial were explored to identify possible predictors of favourable outcome regarding pain-related disability as measured by the Neck Disability Index (NDI), by use of Pearson correlation analysis, partial least squares (PLS) and ordinary least squares (OLS) regression analyses. Data from self-assessment questionnaires completed by the participants before, post-treatment (i.e. 20 weeks after inclusion) and 2 years after inclusion in the study, were used. Multivariate PLS regression analysis showed that baseline scores in NDI, the Self-Efficacy Scale (SES) and pain intensity explained 31% of the variance in disability (NDI) post-treatment. Multivariate PLS regression analysis showed that post-treatment scores in NDI, SES and pain intensity explained 68% of the variance in disability (NDI) at 2 years. Treatment gains, as measured by post-treatment scores at 20-week follow-up, in disability, self-efficacy and pain intensity were associated with long-term outcome in pain-related disability at 2 years, in patients with persistent neck pain participating in a self-management group intervention in primary health care.

  18. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    John Ross

    2003-04-30

    The Final Technical Report summarizes research accomplishments and Publications in the period of 5/1/99 to 4/30/03 done on the grant. Extensive progress was made in the period covered by this report in the areas of chemical kinetics of non-linear systems; spatial structures, reaction - diffusion systems, and thermodynamic and stochastic theory of electrochemical and general systems.

  19. Regional final energy consumptions

    International Nuclear Information System (INIS)

    2011-01-01

    This report comments the differences observed between the French regions and also between these regions and national data in terms of final energy consumption per inhabitant, per GDP unit, and per sector (housing and office building, transport, industry, agriculture). It also comments the evolutions during the last decades, identifies the most recent trends

  20. Deep inelastic final states

    International Nuclear Information System (INIS)

    Girardi, G.

    1980-11-01

    In these lectures we attempt to describe the final states of deep inelastic scattering as given by QCD. In the first section we shall briefly comment on the parton model and give the main properties of decay functions which are of interest for the study of semi-inclusive leptoproduction. The second section is devoted to the QCD approach to single hadron leptoproduction. First we recall basic facts on QCD log's and derive after that the evolution equations for the fragmentation functions. For this purpose we make a short detour in e + e - annihilation. The rest of the section is a study of the factorization of long distance effects associated with the initial and final states. We then show how when one includes next to leading QCD corrections one induces factorization breaking and describe the double moments useful for testing such effects. The next section contains a review on the QCD jets in the hadronic final state. We begin by introducing the notion of infrared safe variable and defining a few useful examples. Distributions in these variables are studied to first order in QCD, with some comments on the resummation of logs encountered in higher orders. Finally the last section is a 'gaullimaufry' of jet studies

  1. The 'final order' problem

    NARCIS (Netherlands)

    Teunter, RH; Haneveld, WKK

    1998-01-01

    When the service department of a company selling machines stops producing and supplying spare parts for certain machines, customers are offered an opportunity to place a so-called final order for these spare parts. We focus on one customer with one machine. The customer plans to use this machine up

  2. Rosetta: The Final Furlong

    Science.gov (United States)

    Wright, I. P.; Andrews, D. J.; Barber, S. J.; Sheridan, S.; Morgan, G. H.; Morse, A. D.

    2014-09-01

    By the time of the meeting, the Rosetta spacecraft will have formally arrived at its target comet, and final landing site selection will be in progress. One of the instruments that will be sent down to the surface of the comet is Ptolemy (a GC-MS).

  3. CAFE Project : final report

    NARCIS (Netherlands)

    A. Weber; R. Carter; C.J. Stanford; A. Weber

    2003-01-01

    textabstract[MAS E-0302] This is the final public report of the CAFE project (ESPRIT 7023). CAFE developed a secure conditional access architecture and implemented a multi-currency electronic purse system based on smart cards and infrared wallets. The electronic purse was tested in user trials at

  4. Imaging in percutaneous musculoskeletal interventions

    International Nuclear Information System (INIS)

    Gangi, Afshin; Guth, Stephane; Guermazi, Ali

    2009-01-01

    This is one of the first books to deal specifically with imaging in percutaneous musculoskeletal interventions. The use of different imaging modalities during these procedures is well described. In the first chapter, the basic procedures and different guidance techniques are presented and discussed. The ensuing chapters describe in exhaustive detail the abilities and uses of imaging in guiding procedures ranging from biopsy and joint injection to management of pain and tumors. These procedures are extensively documented in adults as well as in the pediatric population. The third part of the book describes the different indications for vascular interventions in musculoskeletal lesions. The final chapter focuses on ultrasound-guided interventions, as they are more common and tend to be fashionable. The book is well illustrated with carefully chosen and technically excellent images. Each of the 18 chapters is written by an expert of international repute, making this book the most current and complete treatment of the subject available. It should be of great interest to interventional radiologists and also musculoskeletal and general radiologists. (orig.)

  5. Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach

    Science.gov (United States)

    Morales, Francisco J.; Reyes, Antonio; Cáceres, Noelia; Romero, Luis M.; Benitez, Francisco G.; Morgado, Joao; Duarte, Emanuel; Martins, Teresa

    2017-09-01

    A large percentage of transport infrastructures are composed of linear assets, such as roads and rail tracks. The large social and economic relevance of these constructions force the stakeholders to ensure a prolonged health/durability. Even though, inevitable malfunctioning, breaking down, and out-of-service periods arise randomly during the life cycle of the infrastructure. Predictive maintenance techniques tend to diminish the appearance of unpredicted failures and the execution of needed corrective interventions, envisaging the adequate interventions to be conducted before failures show up. This communication presents: i) A procedural approach, to be conducted, in order to collect the relevant information regarding the evolving state condition of the assets involved in all maintenance interventions; this reported and stored information constitutes a rich historical data base to train Machine Learning algorithms in order to generate reliable predictions of the interventions to be carried out in further time scenarios. ii) A schematic flow chart of the automatic learning procedure. iii) Self-learning rules from automatic learning from false positive/negatives. The description, testing, automatic learning approach and the outcomes of a pilot case are presented; finally some conclusions are outlined regarding the methodology proposed for improving the self-learning predictive capability.

  6. Final Report: Quantifying Prediction Fidelity in Multiscale Multiphysics Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Long, Kevin [Texas Tech University

    2014-09-30

    We have developed algorithms and software in support of uncertainty quantification in nonlinear multiphysics simulations. This work includes high-level, high-performance software for large-scale, matrix-free linear algebra and a new algorithm for fast computation of transcendental functions of stochastic variables.

  7. Final LDRD report :

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Blythe G.; Rajasekhara, Shreyas; Enos, David George; Dingreville, Remi Philippe Michel; Doyle, Barney Lee; Hattar, Khalid Mikhiel; Weiner, Ruth F.

    2013-09-01

    We present the results of a three-year LDRD project focused on understanding microstructural evolution and related property changes in Zr-based nuclear cladding materials towards the development of high fidelity predictive simulations for long term dry storage. Experiments and modeling efforts have focused on the effects of hydride formation and accumulation of irradiation defects. Key results include: determination of the influence of composition and defect structures on hydride formation; measurement of the electrochemical property differences between hydride and parent material for understanding and predicting corrosion resistance; in situ environmental transmission electron microscope observation of hydride formation; development of a predictive simulation for mechanical property changes as a function of irradiation dose; novel test method development for microtensile testing of ionirradiated material to simulate the effect of neutron irradiation on mechanical properties; and successful demonstration of an Idaho National Labs-based sample preparation and shipping method for subsequent Sandia-based analysis of post-reactor cladding.

  8. Linear Corrugating - Final Technical Report; FINAL

    International Nuclear Information System (INIS)

    Lloyd Chapman

    2000-01-01

    Linear Corrugating is a process for the manufacture of corrugated containers in which the flutes of the corrugated medium are oriented in the Machine Direction (MD) of the several layers of paper used. Conversely, in the conventional corrugating process the flutes are oriented at right angles to the MD in the Cross Machine Direction (CD). Paper is stronger in MD than in CD. Therefore, boxes made using the Linear Corrugating process are significantly stronger-in the prime strength criteria, Box Compression Test (BCT) than boxes made conventionally. This means that using Linear Corrugating boxes can be manufactured to BCT equaling conventional boxes but containing 30% less fiber. The corrugated container industry is a large part of the U.S. economy, producing over 40 million tons annually. For such a large industry, the potential savings of Linear Corrugating are enormous. The grant for this project covered three phases in the development of the Linear Corrugating process: (1) Production and evaluation of corrugated boxes on commercial equipment to verify that boxes so manufactured would have enhanced BCT as proposed in the application; (2) Production and evaluation of corrugated boxes made on laboratory equipment using combined board from (1) above but having dual manufactures joints (glue joints). This box manufacturing method (Dual Joint) is proposed to overcome box perimeter limitations of the Linear Corrugating process; (3) Design, Construction, Operation and Evaluation of an engineering prototype machine to form flutes in corrugating medium in the MD of the paper. This operation is the central requirement of the Linear Corrugating process. Items I and II were successfully completed, showing predicted BCT increases from the Linear Corrugated boxes and significant strength improvement in the Dual Joint boxes. The Former was constructed and operated successfully using kraft linerboard as the forming medium. It was found that tensile strength and stretch

  9. Response to intervention in math

    CERN Document Server

    Riccomini, Paul J

    2010-01-01

    Boost academic achievement for all students in your mathematics classroom! This timely resource leads the way in applying RTI to mathematics instruction. The authors describe how the three tiers can be implemented in specific math areas and illustrate RTI procedures through case studies. Aligned with the NMAP final report and IES practice guide, this book includes: Intervention strategies for number sense, fractions, problem solving, and more Procedures for teaching math using systematic and explicit instruction for assessment, instructional planning, and evaluation Essential components to con

  10. Religion and spirituality: assessment and intervention.

    Science.gov (United States)

    Doka, Kenneth J

    2011-01-01

    In this article, the author explores the ways that an individual's spirituality influences responses to life-threatening illness and dying. He begins by differentiating between religion and spirituality, and then delineates the spiritual issues that arise in a life-threatening illness including the spiritual needs that arise in the final phases of illness. Recommendations for spiritual assessments and interventions are offered.

  11. Child Maltreatment In Nigeria: Implications For Intervention ...

    African Journals Online (AJOL)

    The basic features of approaches for preventing child abuse that cut across the family, school and community of the subject of such interventions are outlined. Finally, the paper suggests the need for effective collaboration of these preventive strategies in policy making and their adaptation by social workers to suit the needs ...

  12. Geolocation Technologies Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Magnoli, D E

    2003-06-02

    This paper is the final report for LL998 In Situ Sensing Subtask 7 (Geo-location) undertaken for NNSA NA-22 enabling technologies R&D for Counterproliferation Detection. A few state-of-the-art resolution parameters are presented for accelerometers, indoor and outdoor GPS (Global Positioning Satellite) systems, and INSs (Inertial Navigation Systems). New technologies are described, including one which has demonstrated the ability to track within a building to a resolution of under a foot.

  13. CMS Is Finally Completed

    CERN Multimedia

    2008-01-01

    Yet another step in the completion of the Large Hadron Collider was taken yesterday morning, as the final element of the Compact Muon Solenoid was lowered nearly 100 meters bellow ground. After more than eight years of work at the world's most powerful particle accelerator, scientists hope that they will be able to start initial experiments with the LHC until the end of this year.

  14. Catarse e Final Feliz

    Directory of Open Access Journals (Sweden)

    Myriam Ávila

    2001-12-01

    Full Text Available Resumo: É a certeza de que nada mais – ou nada importante – pode acontecer após o final de um conto que permite o acontecimento da catarse. Se na maioria das narrativas existe algum tipo de dénouement, em algumas delas isso acontece de maneira especialmente satisfatória e afirmativa. O conto de fadas é uma dessas formas narrativas onde o efeito catártico é extremo e preenche objetivos específicos, de acordo com Bruno Bettelheim. Hollywood mimetizou essa forma como estratégia de sedução, iniciando a tradição do final feliz no cinema. A partir do conto de fadas Cinderela, em diferentes versões, juntamente com a animação homônima da Disney e ainda duas versões do filme Sabrina, será traçada aqui uma relação entre a catarse e o final feliz nos contos de fada, bem como seu uso pela indústria cultural. Palavras-chave: catarse, contos de fada, Hollywood

  15. Interventional Radiology: Stroke

    Science.gov (United States)

    ... Government affairs Global outreach Publications Annual Report IR Quarterly Journal of Vascular and Interventional Radiology Newsletters Practice Resources Quality Improvement Clinical practice MACRA Matters Health Policy, Economics, Coding Toolkits Society of Interventional Radiology 3975 Fair ...

  16. Adapting Behavioral Interventions for Social Media Delivery

    Science.gov (United States)

    Waring, Molly E; May, Christine N; Ding, Eric Y; Kunz, Werner H; Hayes, Rashelle; Oleski, Jessica L

    2016-01-01

    Patients are increasingly using online social networks (ie, social media) to connect with other patients and health care professionals—a trend called peer-to-peer health care. Because online social networks provide a means for health care professionals to communicate with patients, and for patients to communicate with each other, an opportunity exists to use social media as a modality to deliver behavioral interventions. Social media-delivered behavioral interventions have the potential to reduce the expense of behavioral interventions by eliminating visits, as well as increase our access to patients by becoming embedded in their social media feeds. Trials of online social network-delivered behavioral interventions have shown promise, but much is unknown about intervention development and methodology. In this paper, we discuss the process by which investigators can translate behavioral interventions for social media delivery. We present a model that describes the steps and decision points in this process, including the necessary training and reporting requirements. We also discuss issues pertinent to social media-delivered interventions, including cost, scalability, and privacy. Finally, we identify areas of research that are needed to optimize this emerging behavioral intervention modality. PMID:26825969

  17. Adapting Behavioral Interventions for Social Media Delivery.

    Science.gov (United States)

    Pagoto, Sherry; Waring, Molly E; May, Christine N; Ding, Eric Y; Kunz, Werner H; Hayes, Rashelle; Oleski, Jessica L

    2016-01-29

    Patients are increasingly using online social networks (ie, social media) to connect with other patients and health care professionals--a trend called peer-to-peer health care. Because online social networks provide a means for health care professionals to communicate with patients, and for patients to communicate with each other, an opportunity exists to use social media as a modality to deliver behavioral interventions. Social media-delivered behavioral interventions have the potential to reduce the expense of behavioral interventions by eliminating visits, as well as increase our access to patients by becoming embedded in their social media feeds. Trials of online social network-delivered behavioral interventions have shown promise, but much is unknown about intervention development and methodology. In this paper, we discuss the process by which investigators can translate behavioral interventions for social media delivery. We present a model that describes the steps and decision points in this process, including the necessary training and reporting requirements. We also discuss issues pertinent to social media-delivered interventions, including cost, scalability, and privacy. Finally, we identify areas of research that are needed to optimize this emerging behavioral intervention modality.

  18. Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy.

    Science.gov (United States)

    Asadi, Hamed; Dowling, Richard; Yan, Bernard; Mitchell, Peter

    2014-01-01

    Stroke is a major cause of death and disability. Accurately predicting stroke outcome from a set of predictive variables may identify high-risk patients and guide treatment approaches, leading to decreased morbidity. Logistic regression models allow for the identification and validation of predictive variables. However, advanced machine learning algorithms offer an alternative, in particular, for large-scale multi-institutional data, with the advantage of easily incorporating newly available data to improve prediction performance. Our aim was to design and compare different machine learning methods, capable of predicting the outcome of endovascular intervention in acute anterior circulation ischaemic stroke. We conducted a retrospective study of a prospectively collected database of acute ischaemic stroke treated by endovascular intervention. Using SPSS®, MATLAB®, and Rapidminer®, classical statistics as well as artificial neural network and support vector algorithms were applied to design a supervised machine capable of classifying these predictors into potential good and poor outcomes. These algorithms were trained, validated and tested using randomly divided data. We included 107 consecutive acute anterior circulation ischaemic stroke patients treated by endovascular technique. Sixty-six were male and the mean age of 65.3. All the available demographic, procedural and clinical factors were included into the models. The final confusion matrix of the neural network, demonstrated an overall congruency of ∼ 80% between the target and output classes, with favourable receiving operative characteristics. However, after optimisation, the support vector machine had a relatively better performance, with a root mean squared error of 2.064 (SD: ± 0.408). We showed promising accuracy of outcome prediction, using supervised machine learning algorithms, with potential for incorporation of larger multicenter datasets, likely further improving prediction. Finally, we

  19. Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy.

    Directory of Open Access Journals (Sweden)

    Hamed Asadi

    Full Text Available INTRODUCTION: Stroke is a major cause of death and disability. Accurately predicting stroke outcome from a set of predictive variables may identify high-risk patients and guide treatment approaches, leading to decreased morbidity. Logistic regression models allow for the identification and validation of predictive variables. However, advanced machine learning algorithms offer an alternative, in particular, for large-scale multi-institutional data, with the advantage of easily incorporating newly available data to improve prediction performance. Our aim was to design and compare different machine learning methods, capable of predicting the outcome of endovascular intervention in acute anterior circulation ischaemic stroke. METHOD: We conducted a retrospective study of a prospectively collected database of acute ischaemic stroke treated by endovascular intervention. Using SPSS®, MATLAB®, and Rapidminer®, classical statistics as well as artificial neural network and support vector algorithms were applied to design a supervised machine capable of classifying these predictors into potential good and poor outcomes. These algorithms were trained, validated and tested using randomly divided data. RESULTS: We included 107 consecutive acute anterior circulation ischaemic stroke patients treated by endovascular technique. Sixty-six were male and the mean age of 65.3. All the available demographic, procedural and clinical factors were included into the models. The final confusion matrix of the neural network, demonstrated an overall congruency of ∼ 80% between the target and output classes, with favourable receiving operative characteristics. However, after optimisation, the support vector machine had a relatively better performance, with a root mean squared error of 2.064 (SD: ± 0.408. DISCUSSION: We showed promising accuracy of outcome prediction, using supervised machine learning algorithms, with potential for incorporation of larger multicenter

  20. Paediatric Interventional Uroradiology

    International Nuclear Information System (INIS)

    Barnacle, Alex M.; Wilkinson, A. Graham; Roebuck, Derek J.

    2011-01-01

    Paediatric interventional uroradiology lies at the intersection of the disciplines of paediatric interventional radiology and paediatric endourology. Interdisciplinary collaboration has led to the development of new techniques and refinement of procedures adopted from adult practice. This article reviews the major procedures used in paediatric interventional uroradiology, with emphasis on nephrostomy, percutaneous nephrolithotomy, balloon-burst pyeloplasty, and antegrade ureteric stenting.

  1. Early prediction of tibial and femoral fracture healing: Are we reliable?

    Science.gov (United States)

    Squyer, Emily R; Dikos, Gregory D; Kaehr, David M; Maar, Dean C; Crichlow, Renn J

    2016-12-01

    To evaluate the ability of orthopaedic trauma subspecialists to predict early bony union in femoral and tibia shaft fractures. Eight orthopaedic trauma subspecialists prospectively predicted the probability of bony union at 6 and 12 weeks post-operatively for an aggregate of 48 femoral and tibial shaft fractures treated at a Level 1 trauma centre. An additional orthopaedic trauma subspecialist was blinded to treating surgeon and adjudicated healing at 18 weeks. The Squared-Error Skill Score (SESS) determined the likelihood of accurate forecasting for bony union. Nine patients were lost follow-up, resulting in 39 fractures (81.25% retention) including 20 femoral and 19 tibial fractures. Fourteen fractures were open, 15 were not-yet united at final follow-up. SESS values were 0.25-0.77. The ability to predict union (sensitivity) was 1.000. The ability to predict nonunions (specificity) was 0.330-0.500. The probability of a correct predicted union was 0.727 and correct predicted nonunion at final follow-up was 1.000. AO/OTA type A fractures pattern predictions were highly accurate. As body mass index increased, predictions trended toward decreased accuracy (p=0.06). Tobacco use, age, gender, associated injuries, open fractures, and surgeons' years in clinical practice were not associated with accuracy of predictions. At 12-weeks post-operatively orthopaedic trauma subspecialists can confidently predict the union state in this patient population. This data is most useful in the nonunion patient, directing early intervention, thereby decreasing patient disability and discomfort. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Final project report

    Energy Technology Data Exchange (ETDEWEB)

    Nitin S. Baliga and Leroy Hood

    2008-11-12

    The proposed overarching goal for this project was the following: Data integration, simulation and visualization will facilitate metabolic and regulatory network prediction, exploration, and formulation of hypotheses. We stated three specific aims to achieve the overarching goal of this project: (1) Integration of multiple levels of information such as mRNA and protein levels, predicted protein-protein interactions/associations and gene function will enable construction of models describing environmental response and dynamic behavior. (2) Flexible tools for network inference will accelerate our understanding of biological systems. (3) Flexible exploration and queries of model hypotheses will provide focus and reveal novel dependencies. The underlying philosophy of these proposed aims is that an iterative cycle of experiments, experimental design, and verification will lead to a comprehensive and predictive model that will shed light on systems level mechanisms involved in responses elicited by living systems upon sensing a change in their environment. In the previous years report we demonstrated considerable progress in development of data standards, regulatory network inference and data visualization and exploration. We are pleased to report that several manuscripts describing these procedures have been published in top international peer reviewed journals including Genome Biology, PNAS, and Cell. The abstracts of these manuscripts are given and they summarize our accomplishments in this project.

  3. PRIME – PRocess modelling in ImpleMEntation research: selecting a theoretical basis for interventions to change clinical practice

    Directory of Open Access Journals (Sweden)

    Pitts Nigel

    2003-12-01

    Full Text Available Abstract Background Biomedical research constantly produces new findings but these are not routinely translated into health care practice. One way to address this problem is to develop effective interventions to translate research findings into practice. Currently a range of empirical interventions are available and systematic reviews of these have demonstrated that there is no single best intervention. This evidence base is difficult to use in routine settings because it cannot identify which intervention is most likely to be effective (or cost effective in a particular situation. We need to establish a scientific rationale for interventions. As clinical practice is a form of human behaviour, theories of human behaviour that have proved useful in other similar settings may provide a basis for developing a scientific rationale for the choice of interventions to translate research findings into clinical practice. The objectives of the study are: to amplify and populate scientifically validated theories of behaviour with evidence from the experience of health professionals; to use this as a basis for developing predictive questionnaires using replicable methods; to identify which elements of the questionnaire (i.e., which theoretical constructs predict clinical practice and distinguish between evidence compliant and non-compliant practice; and on the basis of these results, to identify variables (based on theoretical constructs that might be prime targets for behaviour change interventions. Methods We will develop postal questionnaires measuring two motivational, three action and one stage theory to explore five behaviours with 800 general medical and 600 general dental practitioners. We will collect data on performance for each of the behaviours. The relationships between predictor variables (theoretical constructs and outcome measures (data on performance in each survey will be assessed using multiple regression analysis and structural equation

  4. Earthquake prediction

    International Nuclear Information System (INIS)

    Ward, P.L.

    1978-01-01

    The state of the art of earthquake prediction is summarized, the possible responses to such prediction are examined, and some needs in the present prediction program and in research related to use of this new technology are reviewed. Three basic aspects of earthquake prediction are discussed: location of the areas where large earthquakes are most likely to occur, observation within these areas of measurable changes (earthquake precursors) and determination of the area and time over which the earthquake will occur, and development of models of the earthquake source in order to interpret the precursors reliably. 6 figures

  5. Prometheus Project final report

    Science.gov (United States)

    Taylor, Randall

    2005-01-01

    This Final Report serves as an executive summary of the Prometheus Project's activities and deliverables from November 2002 through September 2005. It focuses on the challenges from a technical and management perspective, what was different and innovative about this project, and identifies the major options, decisions, and accomplishments of the Project team as a whole. However, the details of the activities performed by DOE NR and its contractors will be documented separately in accordance with closeout requirements of the DOE NR and consistent with agreements between NASA and NR.

  6. B280 Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Ulmer, J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Loomis, G. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Sampson, M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2011-09-29

    Lawrence Livermore National Security, LLC (LLNS) has commissioned this independent Structural Condition Assessment as part of its Functional Management Review of the decommissioned Livermore Pool-Type Reactor (LPTR) located in Building 280 at Lawrence Livermore National laboratory (LLNL) for the purpose of addressing a potential management concern regarding the nature and impact of observed cracks in the LPTR shielding structure discovered approximately 8 months earlier. This assessment represents the final report from an initial investigation performed between July 11th and July 15th, 2011. The Exit Briefing presented by the review team at the conclusion of the on-site investigation phase is included as Attachment A.

  7. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Sobecky, Patricia A; Taillefert, Martial

    2013-03-29

    This final technical report describes results and findings from a research project to examine the role of microbial phosphohydrolase enzymes in naturally occurring subsurface microorganisms for the purpose of promoting the immobilization of the radionuclide uranium through the production of insoluble uranium phosphate minerals. The research project investigated the microbial mechanisms and the physical and chemical processes promoting uranium biomineralization and sequestration in oxygenated subsurface soils. Uranium biomineralization under aerobic conditions can provide a secondary biobarrier strategy to immobilize radionuclides should the metal precipitates formed by microbial dissimilatory mechanisms remobilize due to a change in redox state.

  8. Supporting Families through Early Intervention

    Directory of Open Access Journals (Sweden)

    Roy McConkey

    2003-09-01

    Full Text Available Internationally early intervention programmes for infants and preschoolers with disabilities have proved to be remarkably successful. In many countries, they began with teachers for visually impaired or hearing impaired children visiting the family home to teach parents how they could overcome the child's impairments. The logic of early intervention was inequitable. For example, the sooner children with visual impairments learnt to be independently mobile, then the greater their potential to learn and to kad an ordinary life. In time, this philosophy was extended to children with neurological and developmental delays, such as mental retardation, although success could be variable. In part, many different factors contributed to this variability: the form the interventions took, the extent of family involvement in the intervention and the lack of sensitivity of the measures used to assess a child's progress, to name but three. Perhaps the most extensive and intensive Early intervention schemes have been in the United States with their Head Start programmes. They were aimed at promoting the educational potential of preschoolers from deprived socio - economic backgrounds. Although the first phase of programmes had varying success, those in the second phase yielded impressive results which were mainly attributed to a greater focus on parental participation and links forged with the school system. Recently in developing countries, priority has been given to establishing early intervention as a means of creating new styles of family-based and community-based service in these countries in contrast to the hospital or institutional-services that were a legacy from a previous generation. Although formal evaluations are largely lacking, informal reports have been broadly enthusiastic. In sum, early intervention is no longer a new approach to developmental disabilities. It is an approach of proven effectiveness with children who have different impairments

  9. The final cool down

    CERN Multimedia

    Thursday 29th May, the cool-down of the final sector (sector 4-5) of LHC has begun, one week after the start of the cool-down of sector 1-2. It will take five weeks for the sectors to be cooled from room temperature to 5 K and a further two weeks to complete the cool down to 1.9 K and the commissioning of cryogenic instrumentation, as well as to fine tune the cryogenic plants and the cooling loops of cryostats.Nearly a year and half has passed since sector 7-8 was cooled for the first time in January 2007. For Laurent Tavian, AT/CRG Group Leader, reaching the final phase of the cool down is an important milestone, confirming the basic design of the cryogenic system and the ability to operate complete sectors. “All the sectors have to operate at the same time otherwise we cannot inject the beam into the machine. The stability and reliability of the cryogenic system and its utilities are now very important. That will be the new challenge for the coming months,” he explains. The status of the cool down of ...

  10. Cosmology Without Finality

    Science.gov (United States)

    Mahootian, F.

    2009-12-01

    The rapid convergence of advancing sensor technology, computational power, and knowledge discovery techniques over the past decade has brought unprecedented volumes of astronomical data together with unprecedented capabilities of data assimilation and analysis. A key result is that a new, data-driven "observational-inductive'' framework for scientific inquiry is taking shape and proving viable. The anticipated rise in data flow and processing power will have profound effects, e.g., confirmations and disconfirmations of existing theoretical claims both for and against the big bang model. But beyond enabling new discoveries can new data-driven frameworks of scientific inquiry reshape the epistemic ideals of science? The history of physics offers a comparison. The Bohr-Einstein debate over the "completeness'' of quantum mechanics centered on a question of ideals: what counts as science? We briefly examine lessons from that episode and pose questions about their applicability to cosmology. If the history of 20th century physics is any indication, the abandonment of absolutes (e.g., space, time, simultaneity, continuity, determinacy) can produce fundamental changes in understanding. The classical ideal of science, operative in both physics and cosmology, descends from the European Enlightenment. This ideal has for over 200 years guided science to seek the ultimate order of nature, to pursue the absolute theory, the "theory of everything.'' But now that we have new models of scientific inquiry powered by new technologies and driven more by data than by theory, it is time, finally, to relinquish dreams of a "final'' theory.

  11. Deep Visual Attention Prediction

    Science.gov (United States)

    Wang, Wenguan; Shen, Jianbing

    2018-05-01

    In this work, we aim to predict human eye fixation with view-free scenes based on an end-to-end deep learning architecture. Although Convolutional Neural Networks (CNNs) have made substantial improvement on human attention prediction, it is still needed to improve CNN based attention models by efficiently leveraging multi-scale features. Our visual attention network is proposed to capture hierarchical saliency information from deep, coarse layers with global saliency information to shallow, fine layers with local saliency response. Our model is based on a skip-layer network structure, which predicts human attention from multiple convolutional layers with various reception fields. Final saliency prediction is achieved via the cooperation of those global and local predictions. Our model is learned in a deep supervision manner, where supervision is directly fed into multi-level layers, instead of previous approaches of providing supervision only at the output layer and propagating this supervision back to earlier layers. Our model thus incorporates multi-level saliency predictions within a single network, which significantly decreases the redundancy of previous approaches of learning multiple network streams with different input scales. Extensive experimental analysis on various challenging benchmark datasets demonstrate our method yields state-of-the-art performance with competitive inference time.

  12. Interventional procedures in the chest.

    Science.gov (United States)

    Vollmer Torrubiano, I; Sánchez González, M

    2016-05-01

    Many thoracic conditions will require an interventional procedure for diagnosis and/or treatment. For this reason, radiologists need to know the indications and the technique for each procedure. In this article, we review the various interventional procedures that radiologists should know and the indications for each procedure. We place special emphasis on the potential differences in the diagnostic results and complications between fine-needle aspiration and biopsy. We also discuss the indications for radiofrequency ablation of lung tumors and review the concepts related to the drainage of pulmonary abscesses. We devote special attention to the management of pleural effusion, covering the indications for thoracocentesis and when to use imaging guidance, and to the protocol for pleural drainage. We also discuss the indications for percutaneous treatment of pericardial effusion and the possible complications of this treatment. Finally, we discuss the interventional management of mediastinal lesions and provide practical advice about how to approach these lesions to avoid serious complications. Copyright © 2016 SERAM. Published by Elsevier España, S.L.U. All rights reserved.

  13. 2014 update on interventional cardiology.

    Science.gov (United States)

    Hernández Hernández, Felipe; de la Torre Hernández, José M; Rumoroso Cuevas, José R; García del Blanco, Bruno; Martínez-Sellés, Manuel; Trillo Nouche, Ramiro

    2015-04-01

    This article reviews the most relevant publications and studies in the field of interventional cardiology in 2014. In the area of coronary interventional procedures, integrated treatment of acute coronary syndrome continues to be the subject of numerous studies that evaluate different devices and pharmacological and mechanical strategies that can be used without increasing the risk of hemorrhage or the need for reintervention. Certain anatomical substrates continue to generate a considerable number of publications, both on the outcomes with different stents and on the use of specific techniques. Bioabsorbable drug-eluting stents are used in increasingly complex lesions with promising results. The development of interventional procedures for structural heart disease continues to advance, with new evidence on percutaneously placed aortic valve prostheses, the outcome of percutaneous mitral valve repair, and the safety and efficacy of left atrial appendage occlusion. Finally, renal denervation has generated one of the major debates of the year. Copyright © 2014 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

  14. Predictive medicine

    NARCIS (Netherlands)

    Boenink, Marianne; ten Have, Henk

    2015-01-01

    In the last part of the twentieth century, predictive medicine has gained currency as an important ideal in biomedical research and health care. Research in the genetic and molecular basis of disease suggested that the insights gained might be used to develop tests that predict the future health

  15. Percutaneous intervention in obstructive

    International Nuclear Information System (INIS)

    Souftas, V.

    2012-01-01

    Percutaneous intervention procedures in obstructive uropathy include percutaneous nephrostomy tube placements, nephroureteral stents, percutaneous nephrostomy combined with ureteral embolization, percutaneous management of stone disease, suprapubic tube placements into the bladder, and perinephric/retroperitoneal urinomas/abscesses drainages. Percutaneous nephrostomy is performed to relieve urinary obstruction or divert the urinary stream away from the ureter or bladder. Patients are given preprocedure antibiotics. Percutaneous nephrostomies can be emergent cases because of risk of pyuria and sepsis from a stagnant urine collection. The procedure is performed using both ultrasound and fluoroscopy (or fluoroscopy alone using anatomic landmarks, or an internal radiopaque calculus, or delayed phase excretion of the contrast into the renal collecting system) under local anesthesia or conscious sedation. Ureteral stents are placed to bypass an obstructing stone or to stent across of an area of stricture or ureteral laceration. Stents may be placed by the urologist via a transurethral approach or by the interventional radiologist via a percutaneous approach. The decision as to method of stent placement is based upon the location and accessibility of the ureteral pathology. Ureteral embolization is performed in patients with unresectable tumors of the pelvis with long-standing nephrostomy tubes and distal urine leaks refractory to other treatments. Coils, gelfoam and liquid embolic materials can be used. Ureteral embolization for ureteral fistulas and incontinence is technically successful in 100% of the patients. Complications include bleeding, infection, ureteral or renal injury, and deployment (or movement) of the coils within the renal pelvis. Percutaneous management of stone disease, including renal, ureteral, and bladder stones requires close cooperation between the urologist and interventional radiologist, because of availability of sonographic lithotripsy

  16. DYNAMICS OF POLYMERS AT INTERFACES; FINAL

    International Nuclear Information System (INIS)

    SMITH, G.S.; MAJEWSKI, J.

    1999-01-01

    This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project addresses fundamental questions concerning the behavior of polymers at interfaces: (1) What processes control the formation of an adsorbed layer on a clean surface? (2) What processes control the displacement of preadsorbed polymers? (3) Can one accurately predict the structure of polymer layers? To answer these questions, using neutron reflectivity, we have studied adsorbed layers of the polymer poly(methyl methacrylate) (PMMA) onto a quartz substrate. The polymer density profiles were derived from the neutron reflectivity data. We have shown that dry films exhibit behavior predicted by mean-field theory in that the equilibrated layer thickness scales with the molecular weight of the polymer. Also, we find that the profiles of the polymers in solution qualitatively agree with those predicted by reflected random walk (RRW) theories, yet the profiles are not in quantitative agreement

  17. Mothers' Stress, Resilience and Early Intervention

    Science.gov (United States)

    Margalit, M.; Kleitman, T.

    2006-01-01

    The aim of the study was to examine factors that predict maternal stress, reported by mothers whose infants were diagnosed as having developmental disabilities at the beginning of participating in an early intervention programme "Me and My Mommy" and after one year. A second goal was to identify and to portray a subgroup of resilient…

  18. Development of an Evidence-Informed Blog to Promote Healthy Eating Among Mothers: Use of the Intervention Mapping Protocol.

    Science.gov (United States)

    Dumas, Audrée-Anne; Lemieux, Simone; Lapointe, Annie; Provencher, Véronique; Robitaille, Julie; Desroches, Sophie

    2017-05-19

    Low adherence to dietary guidelines and a concurrent rise of obesity-related chronic diseases emphasize the need for effective interventions to promote healthy eating. There is growing recognition that behavior change interventions should draw on theories of behavior change. Online interventions grounded in theory lead to increased effectiveness for health behavior change; however, few theory-driven social media-based health promotion interventions have been described in the literature. The objective of this study was to describe the application of the Intervention Mapping (IM) protocol to develop an evidence-informed blog to promote healthy eating among French-Canadian mothers of preschool and school-aged children. The following six steps of the IM protocol were performed. In Step 1, a preliminary needs assessment included a literature search on theoretical domains predicting Vegetables and Fruits intakes and Milk and Alternatives intakes in adults (ie, knowledge, beliefs about capabilities, beliefs about consequences, intention/goals) and a qualitative study including focus groups to identify female Internet users' perceptions of their use of healthy eating blogs. In Step 2, two behavioral outcomes were selected (ie, increase daily intakes of Vegetables and Fruits and Milk and Alternatives of mothers to reach Canadian dietary recommendations) and subsequently divided into six performance objectives inspired by national and international dietary recommendations such as planning for healthy meals. A matrix of change objectives was then created by crossing performance objectives with theoretical domains predicting Vegetables and Fruits intakes and Milk and Alternatives intakes in adults. Step 3 consisted of selecting theory-based intervention methods (eg, modeling and goal setting) and translating them into practical applications for the context of a dietary intervention delivered through a blog. A 6-month intervention was developed in Step 4 in which we aimed to

  19. SHIELDS Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Jordanova, Vania Koleva [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-10-03

    Predicting variations in the near-Earth space environment that can lead to spacecraft damage and failure, i.e. “space weather”, remains a big space physics challenge. A new capability was developed at Los Alamos National Laboratory (LANL) to understand, model, and predict Space Hazards Induced near Earth by Large Dynamic Storms, the SHIELDS framework. This framework simulates the dynamics of the Surface Charging Environment (SCE), the hot (keV) electrons representing the source and seed populations for the radiation belts, on both macro- and micro-scale. In addition to using physics-based models (like RAM-SCB, BATS-R-US, and iPIC3D), new data assimilation techniques employing data from LANL instruments on the Van Allen Probes and geosynchronous satellites were developed. An order of magnitude improvement in the accuracy in the simulation of the spacecraft surface charging environment was thus obtained. SHIELDS also includes a post-processing tool designed to calculate the surface charging for specific spacecraft geometry using the Curvilinear Particle-In-Cell (CPIC) code and to evaluate anomalies' relation to SCE dynamics. Such diagnostics is critically important when performing forensic analyses of space-system failures.

  20. AIPM Final Report

    Energy Technology Data Exchange (ETDEWEB)

    John Mookken

    2006-06-30

    The final AIPM project report consists of six sections. Each section includes information on the original AIPM project and extension work on the high temperature design. The first section (1) provides an overview of the program and highlights the significant targets to meet at the end of the program. The next section (2) summarizes the significant technical accomplishments by the SEMIKRON AIPM team during the course of the project. Greater technical details are provided in a collection of all the quarterly reports which can be found in the appendix. Section three (3) presents some the more significant technical data collected from technology demonstrators. Section four (4) analyzes the manufacturing cost or economic aspects of producing 100,000 units/yr. Section five (5) describes the commercialization efforts of the AIPM technology into the automotive market. The last section (6) recommends follow on work that will build on the efforts and achievements of the AIPM program.

  1. Final Scientific EFNUDAT Workshop

    CERN Multimedia

    CERN. Geneva

    2010-01-01

    The Final Scientific EFNUDAT Workshop - organized by the CERN/EN-STI group on behalf of n_TOF Collaboration - will be held at CERN, Geneva (Switzerland) from 30 August to 2 September 2010 inclusive.EFNUDAT website: http://www.efnudat.euTopics of interest include: Data evaluationCross section measurementsExperimental techniquesUncertainties and covariancesFission propertiesCurrent and future facilities  International Advisory Committee: C. Barreau (CENBG, France)T. Belgya (IKI KFKI, Hungary)E. Gonzalez (CIEMAT, Spain)F. Gunsing (CEA, France)F.-J. Hambsch (IRMM, Belgium)A. Junghans (FZD, Germany)R. Nolte (PTB, Germany)S. Pomp (TSL UU, Sweden) Workshop Organizing Committee: Enrico Chiaveri (Chairman)Marco CalvianiSamuel AndriamonjeEric BerthoumieuxCarlos GuerreroRoberto LositoVasilis Vlachoudis Workshop Assistant: Géraldine Jean

  2. Multimuon final states

    International Nuclear Information System (INIS)

    Crespo, J.-M.

    1980-04-01

    Multimuon final states have been detected by 3 experiments in the interactions of the muon beams of CERN (280 GeV) and FNAL (210 GeV) with heavy targets. For the first time production of J/PSI (3100) by space-like photons has been observed and its dependence on ν, Q 2 and t compared to Vector Dominance and photon-gluon fusion models. Also a clear signal has been seen for 3μ above QED tridents (outside J/PSI mass range) and 2μ events which are well described by charm production. An upper limit for the production of the T by high energy muons has been set

  3. Final Progress Report

    Energy Technology Data Exchange (ETDEWEB)

    Josef Michl

    2011-10-31

    In this project we have established guidelines for the design on organic chromophores suitable for producing high triplet yields via singlet fission. We have proven their utility by identifying a chromophore of a structural class that had never been examined for singlet fission before, 1,3-diphenylisobenzofuran, and demonstrating in two independent ways that a thin layer of this material produces a triplet yield of 200% within experimental error. We have also designed a second chromophore of a very different type, again of a structural class that had not been examined for singlet fission before, and found that in a thin layer it produces a 70% triplet yield. Finally, we have enhanced the theoretical understanding of the quantum mechanical nature of the singlet fission process.

  4. Stardust Final Conference

    CERN Document Server

    Minisci, Edmondo; Summerer, Leopold; McGinty, Peter

    2018-01-01

    Space debris and asteroid impacts pose a very real, very near-term threat to Earth. In order to help study and mitigate these risks, the Stardust program was formed in 2013. This training and research network was devoted to developing and mastering techniques such as removal, deflection, exploitation, and tracking. This book is a collection of many of the topics addressed at the Final Stardust Conference, describing the latest in asteroid monitoring and how engineering efforts can help us reduce space debris. It is a selection of studies bringing together specialists from universities, research institutions, and industry, tasked with the mission of pushing the boundaries of space research with innovative ideas and visionary concepts. Topics covered by the Symposium: Orbital and Attitude Dynamics Modeling Long Term Orbit and Attitude Evolution Particle Cloud Modeling and Simulation Collision and Impact Modelling and Simulation, Re-entry Modeling and Simulation Asteroid Origins and Characterization Orbit and A...

  5. Transradial approach for challenging vascular access interventions.

    Science.gov (United States)

    Rahmatzadeh, Mitra; Vijayan, Vikram; Ritter, Carsten J; Hockley, Joseph; Leong, Benjamin Dk; Sandford, Monique; Mwipatayi, Bibombe P

    2015-08-01

    Percutaneous interventional procedures for vascular access are usually performed using the draining cephalic or basilic vein. The transradial approach, which has been extensively investigated for coronary angiography and intervention, could be an attractive new technique for peri-anastomotic arteriovenous fistula stenosis. From June 2012 to February 2013, 30 patients with end-stage renal failure were evaluated for transradial vascular access intervention. A 4-French (Fr) micropuncture kit was used to access the radial artery and then subsequently upgraded to a 5-Fr sheath. Fourteen patients required an upgrade to a 6-Fr sheath for the final intervention. Primary technical success (residual stenosis access was achieved in all patients. There were no peri-procedural complications. The post-interventional primary patency was calculated as 100%, 100%, 88.4% and 32.8% at 1, 6, 9 and 12 months, respectively. The post-interventional primary assisted patency was calculated as 100%, 100%, 100% and 63.3% at 1, 6, 9 and 12 months, respectively. Based on colour-coded Duplex scan and/or photoelectric plethysmography, all access-site arteries showed normal perfusion; however, the freedom from significant radial artery restenosis was 92.4% at 12-month follow-up. The transradial approach for vascular access endovascular interventions is technically feasible and safe. It allows simultaneous treatment of peri-anastomotic lesions in fistulas with complex venous anatomy as well as lesions in the arterial inflow and central outflow. © The Author(s) 2014.

  6. Narrative intervention in behavior and public health.

    Science.gov (United States)

    Petraglia, Joseph

    2007-01-01

    Public health interventions using narratives, or stories, as a means for encouraging behavior change are common, especially in the developing world. Entertainment-education (EE) is perhaps the most widely researched form of such "narrative intervention," but many other kinds of interventions, or parts of interventions, rely on stories to convey information about behavior risk and to model risk avoidance. Although narrative interventions are often grounded in social-cognitive theory and in commonsense assumptions about the power of storytelling, they are generally undertaken without much regard for the philosophical and cognitive bases for narrative about which much has been written. Many aspects of narrative intervention in behavior and public health could be better understood in light this literature. These include the 1) challenges inherent in creating and building on a discourse around behavior change in non-Western contexts; 2) current emphasis in public health on production rather than reception and the fundamental problem of interpretation; 3) differences between messaging versus providing an alternative worldview, and finally; 4) issues surrounding the appropriate approach to the evaluation of a narrative intervention.

  7. Preprocedural Prediction Model for Contrast-Induced Nephropathy Patients.

    Science.gov (United States)

    Yin, Wen-Jun; Yi, Yi-Hu; Guan, Xiao-Feng; Zhou, Ling-Yun; Wang, Jiang-Lin; Li, Dai-Yang; Zuo, Xiao-Cong

    2017-02-03

    Several models have been developed for prediction of contrast-induced nephropathy (CIN); however, they only contain patients receiving intra-arterial contrast media for coronary angiographic procedures, which represent a small proportion of all contrast procedures. In addition, most of them evaluate radiological interventional procedure-related variables. So it is necessary for us to develop a model for prediction of CIN before radiological procedures among patients administered contrast media. A total of 8800 patients undergoing contrast administration were randomly assigned in a 4:1 ratio to development and validation data sets. CIN was defined as an increase of 25% and/or 0.5 mg/dL in serum creatinine within 72 hours above the baseline value. Preprocedural clinical variables were used to develop the prediction model from the training data set by the machine learning method of random forest, and 5-fold cross-validation was used to evaluate the prediction accuracies of the model. Finally we tested this model in the validation data set. The incidence of CIN was 13.38%. We built a prediction model with 13 preprocedural variables selected from 83 variables. The model obtained an area under the receiver-operating characteristic (ROC) curve (AUC) of 0.907 and gave prediction accuracy of 80.8%, sensitivity of 82.7%, specificity of 78.8%, and Matthews correlation coefficient of 61.5%. For the first time, 3 new factors are included in the model: the decreased sodium concentration, the INR value, and the preprocedural glucose level. The newly established model shows excellent predictive ability of CIN development and thereby provides preventative measures for CIN. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

  8. Comparison of Predictive Modeling Methods of Aircraft Landing Speed

    Science.gov (United States)

    Diallo, Ousmane H.

    2012-01-01

    Expected increases in air traffic demand have stimulated the development of air traffic control tools intended to assist the air traffic controller in accurately and precisely spacing aircraft landing at congested airports. Such tools will require an accurate landing-speed prediction to increase throughput while decreasing necessary controller interventions for avoiding separation violations. There are many practical challenges to developing an accurate landing-speed model that has acceptable prediction errors. This paper discusses the development of a near-term implementation, using readily available information, to estimate/model final approach speed from the top of the descent phase of flight to the landing runway. As a first approach, all variables found to contribute directly to the landing-speed prediction model are used to build a multi-regression technique of the response surface equation (RSE). Data obtained from operations of a major airlines for a passenger transport aircraft type to the Dallas/Fort Worth International Airport are used to predict the landing speed. The approach was promising because it decreased the standard deviation of the landing-speed error prediction by at least 18% from the standard deviation of the baseline error, depending on the gust condition at the airport. However, when the number of variables is reduced to the most likely obtainable at other major airports, the RSE model shows little improvement over the existing methods. Consequently, a neural network that relies on a nonlinear regression technique is utilized as an alternative modeling approach. For the reduced number of variables cases, the standard deviation of the neural network models errors represent over 5% reduction compared to the RSE model errors, and at least 10% reduction over the baseline predicted landing-speed error standard deviation. Overall, the constructed models predict the landing-speed more accurately and precisely than the current state-of-the-art.

  9. Predicting Religion

    Science.gov (United States)

    Revell, Lynn

    2015-01-01

    This article reviews the influence of liberal ideas on the capacity for Religious Education (RE) to consider religions critically in a climate of increasing government intervention in education. It finds that criticality in some areas of RE is absent or limited but that in key areas criticality is evident if not always deeply embedded. It…

  10. Final Technical Report

    International Nuclear Information System (INIS)

    Dennis L.; Eggleston

    2005-01-01

    The purpose of this grant was to experimentally investigate asymmetry-induced radial transport in a non-neutral (Penning-Malmberg) plasma trap. These traps provide an excellent platform for transport studies since the plasmas are generally well confined. One can then study transport in a controlled manner: the plasma is perturbed and the resulting transport measured. The focus of this research is the transport produced by applied asymmetric electric fields. The main results of our research concern (1) the theory of asymmetry-induced transport, (2) an absolute comparison of theory predictions with experimental results, (3) the amplitude scaling of the transport, (4) the frequency dependence of the transport, (5) the development of techniques to determine the relative contribution of mobility and diffusion to the transport, and (6) measuring the effect of small axial magnetic variations on the transport

  11. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Aristos Aristidou Natureworks); Robert Kean (NatureWorks); Tom Schechinger (IronHorse Farms, Mat); Stuart Birrell (Iowa State); Jill Euken (Wallace Foundation & Iowa State)

    2007-10-01

    The two main objectives of this project were: 1) to develop and test technologies to harvest, transport, store, and separate corn stover to supply a clean raw material to the bioproducts industry, and 2) engineer fermentation systems to meet performance targets for lactic acid and ethanol manufacturers. Significant progress was made in testing methods to harvest corn stover in a “single pass” harvest mode (collect corn grain and stover at the same time). This is technically feasible on small scale, but additional equipment refinements will be needed to facilitate cost effective harvest on a larger scale. Transportation models were developed, which indicate that at a corn stover yield of 2.8 tons/acre and purchase price of $35/ton stover, it would be unprofitable to transport stover more than about 25 miles; thus suggesting the development of many regional collection centers. Therefore, collection centers should be located within about 30 miles of the farm, to keep transportation costs to an acceptable level. These collection centers could then potentially do some preprocessing (to fractionate or increase bulk density) and/or ship the biomass by rail or barge to the final customers. Wet storage of stover via ensilage was tested, but no clear economic advantages were evident. Wet storage eliminates fire risk, but increases the complexity of component separation and may result in a small loss of carbohydrate content (fermentation potential). A study of possible supplier-producer relationships, concluded that a “quasi-vertical” integration model would be best suited for new bioproducts industries based on stover. In this model, the relationship would involve a multiyear supply contract (processor with purchase guarantees, producer group with supply guarantees). Price will likely be fixed or calculated based on some formula (possibly a cost plus). Initial quality requirements will be specified (but subject to refinement).Producers would invest in harvest

  12. Guideline for Early Interventions

    Science.gov (United States)

    2006-04-01

    RTO-MP-HFM-134 6 - 1 Guideline for Early Interventions Maaike de Vries Impact Foundation, Dutch Knowledge & Advice Centre for Post...assistance, also referred to as ‘ early interventions ’ or ‘debriefing’, is offered following shocking events. These may be large scale disasters or...calamities, but also military deployment and individual incidents. During the last years, the demand for early interventions has been increasing

  13. A behavior change model for internet interventions.

    Science.gov (United States)

    Ritterband, Lee M; Thorndike, Frances P; Cox, Daniel J; Kovatchev, Boris P; Gonder-Frederick, Linda A

    2009-08-01

    The Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published. The purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions. The model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance. By grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.

  14. AIMES Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Katz, Daniel S [Univ. of Illinois, Urbana-Champaign, IL (United States). National Center for Supercomputing Applications (NCSA); Jha, Shantenu [Rutgers Univ., New Brunswick, NJ (United States); Weissman, Jon [Univ. of Minnesota, Minneapolis, MN (United States); Turilli, Matteo [Rutgers Univ., New Brunswick, NJ (United States)

    2017-01-31

    This is the final technical report for the AIMES project. Many important advances in science and engineering are due to large-scale distributed computing. Notwithstanding this reliance, we are still learning how to design and deploy large-scale production Distributed Computing Infrastructures (DCI). This is evidenced by missing design principles for DCI, and an absence of generally acceptable and usable distributed computing abstractions. The AIMES project was conceived against this backdrop, following on the heels of a comprehensive survey of scientific distributed applications. AIMES laid the foundations to address the tripartite challenge of dynamic resource management, integrating information, and portable and interoperable distributed applications. Four abstractions were defined and implemented: skeleton, resource bundle, pilot, and execution strategy. The four abstractions were implemented into software modules and then aggregated into the AIMES middleware. This middleware successfully integrates information across the application layer (skeletons) and resource layer (Bundles), derives a suitable execution strategy for the given skeleton and enacts its execution by means of pilots on one or more resources, depending on the application requirements, and resource availabilities and capabilities.

  15. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Velasco, Mayda [Northwestern University

    2013-11-01

    This work is focused on the design and construction of novel beam diagnostic and instrumentation for charged particle accelerators required for the next generation of linear colliders. Our main interest is in non-invasive techniques. The Northwestern group of Velasco has been a member of the CLIC Test Facility 3 (CTF3) collaboration since 2003, and the beam instrumentation work is developed mostly at this facility1. This 4 kW electron beam facility has a 25-170 MeV electron LINAC. CTF3 performed a set of dedicated measurements to finalize the development of our RF-Pickup bunch length detectors. The RF-pickup based on mixers was fully commissioned in 2009 and the RF-pickup based on diodes was finished in time for the 2010-11 data taking. The analysis of all the data taken in by the summer of 2010 was finish in time and presented at the main conference of the year, LINAC 2010 in Japan.

  16. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Held, Isaac [Princeton Univ., NJ (United States); Balaji, V. [Princeton Univ., NJ (United States); Fueglistaler, Stephan [Princeton Univ., NJ (United States)

    2016-09-19

    We have constructed and analyzed a series of idealized models of tropical convection interacting with large-scale circulations, with 25-50km resolution and with 1-2km cloud resolving resolution to set the stage for rigorous tests of convection closure schemes in high resolution global climate models. Much of the focus has been on the climatology of tropical cyclogenesis in rotating systems and the related problem of the spontaneous aggregation of convection in non-rotating systems. The PI (Held) will be delivering the honorary Bjerknes lecture at the Fall 2016 AGU meeting in December on this work. We have also provided new analyses of long-standing issues related to the interaction between convection and the large-scale circulation: Kelvin waves in the upper troposphere and lower stratosphere, water vapor transport into the stratosphere, and upper tropospheric temperature trends. The results of these analyses help to improve our understanding of processes, and provide tests for future high resolution global modeling. Our final goal of testing new convections schemes in next-generation global atmospheric models at GFDL has been left for future work due to the complexity of the idealized model results meant as tests for these models uncovered in this work and to computational resource limitations. 11 papers have been published with support from this grant, 2 are in review, and another major summary paper is in preparation.

  17. Acoustic Separation Technology; FINAL

    International Nuclear Information System (INIS)

    Fred Ahrens; Tim Patterson

    2002-01-01

    Today's restrictive environmental regulations encourage paper mills to close their water systems. Closed water systems increase the level of contaminants significantly. Accumulations of solid suspensions are detrimental to both the papermaking process and the final products. To remove these solids, technologies such as flotation using dissolved air (DAF), centrifuging, and screening have been developed. Dissolved Air Flotation systems are commonly used to clarify whitewater. These passive systems use high pressure to dissolve air into whitewater. When the pressure is released, air micro-bubbles form and attach themselves to fibers and particles, which then float to the surface where they are mechanically skimmed off. There is an economic incentive to explore alternatives to the DAF technology to drive down the cost of whitewater processing and minimize the use of chemicals. The installed capital cost for a DAF system is significant and a typical DAF system takes up considerable space. An alternative approach, which is the subject of this project, involves a dual method combining the advantages of chemical flocculation and in-line ultrasonic clarification to efficiently remove flocculated contaminants from a water stream

  18. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Alexander Fridman

    2005-06-01

    This DOE project DE-FC36-04GO14052 ''Plasma Pilot Plant Test for Treating VOC Emissions from Wood Products Plants'' was conducted by Drexel University in cooperation with Georgia-Pacific (G-P) and Kurchatov Institute (KI). The objective of this project was to test the Plasma Pilot Plant capabilities in wood industry. The final goal of the project was to replace the current state-of-the-art, regenerative thermal oxidation (RTO) technology by Low-Temperature Plasma Technology (LTPT) in paper and wood industry for Volatile Organic Components (VOC) destruction in High Volume Low Concentration (HVLC) vent emissions. MetPro Corporation joined the team as an industrial partner from the environmental control business and a potential leader for commercialization. Concurrent Technology Corporation (CTC) has a separate contract with DOE for this technology evaluation. They prepared questionnaires for comparison of this technology and RTO, and made this comparison. These data are presented in this report along with the description of the technology itself. Experiments with the pilot plant were performed with average plasma power up to 3.6 kW. Different design of the laboratory and pilot plant pulsed coronas, as well as different analytical methods revealed many new peculiarities of the VOC abatement process. The work reported herein describes the experimental results for the VOCs removal efficiency with respect to energy consumption, residence time, water effect and initial concentration.

  19. Improving student success using predictive models and data visualisations

    Directory of Open Access Journals (Sweden)

    Hanan Ayad

    2012-08-01

    Full Text Available The need to educate a competitive workforce is a global problem. In the US, for example, despite billions of dollars spent to improve the educational system, approximately 35% of students never finish high school. The drop rate among some demographic groups is as high as 50–60%. At the college level in the US only 30% of students graduate from 2-year colleges in 3 years or less and approximately 50% graduate from 4-year colleges in 5 years or less. A basic challenge in delivering global education, therefore, is improving student success. By student success we mean improving retention, completion and graduation rates. In this paper we describe a Student Success System (S3 that provides a holistic, analytical view of student academic progress.1 The core of S3 is a flexible predictive modelling engine that uses machine intelligence and statistical techniques to identify at-risk students pre-emptively. S3 also provides a set of advanced data visualisations for reaching diagnostic insights and a case management tool for managing interventions. S3's open modular architecture will also allow integration and plug-ins with both open and proprietary software. Powered by learning analytics, S3 is intended as an end-to-end solution for identifying at-risk students, understanding why they are at risk, designing interventions to mitigate that risk and finally closing the feedback look by tracking the efficacy of the applied intervention.

  20. Interventional neuroradiology techniques in interventional radiology

    CERN Document Server

    Murphy, Kieran; Robertson, Fergus; Watkinson, Anthony

    2013-01-01

    This book provides accessible technique-specific information on interventional radiology procedures, in a format suitable for reference in the IR treatment room or as a carry-around guide. Offers step-by-step points, key point summaries and illustrations.

  1. The role of preschool teacher-child interactions in academic adjustment: An intervention study with Playing-2-gether.

    Science.gov (United States)

    Van Craeyevelt, Sanne; Verschueren, Karine; Vancraeyveldt, Caroline; Wouters, Sofie; Colpin, Hilde

    2017-09-01

    Social relationships can serve as important risk or protective factors for child development in general, and academic adjustment in particular. This study investigated the role of teacher-child interactions in academic adjustment among preschool boys at risk of externalizing behaviour, using a randomized controlled trial study with Playing-2-gether (P2G), a 12-week indicated two-component intervention aimed at improving the affective quality of the teacher-child relationship and teacher behaviour management. In a sample of 175 preschool boys showing signs of externalizing behaviour (M age  = 4 years, 9 months, SD age  = 7 months) and their teachers, we investigated P2G effects on academic engagement as well as on language achievement. Academic engagement was rated by teachers at three occasions within one school year (T1 = pretest, T3 = post-test, and T2 = in-between intervention components). Language achievement was assessed by researchers at pre- and post-test, using a standardized test. Cross-lagged path analyses revealed a direct intervention effect of P2G on academic engagement at Time 2. In addition, a significant indirect intervention effect was found on academic engagement at Time 3 through academic engagement at Time 2. Finally, academic engagement at Time 2 was found to predict language achievement at post-test. A marginally significant indirect intervention effect was found on language achievement at Time 3, through academic engagement at Time 2. This intervention study suggests that teacher-child interactions predict academic engagement over time, which in turn improves language achievement among preschool boys at risk of externalizing behaviour. © 2017 The British Psychological Society.

  2. Final technical report

    Energy Technology Data Exchange (ETDEWEB)

    Edward DeLong

    2011-10-07

    Our overarching goals in this project were to: Develop and improve high-throughput sequencing methods and analytical approaches for quantitative analyses of microbial gene expression at the Hawaii Ocean Time Series Station and the Bermuda Atlantic Time Series Station; Conduct field analyses following gene expression patterns in picoplankton microbial communities in general, and Prochlorococcus flow sorted from that community, as they respond to different environmental variables (light, macronutrients, dissolved organic carbon), that are predicted to influence activity, productivity, and carbon cycling; Use the expression analyses of flow sorted Prochlorococcus to identify horizontally transferred genes and gene products, in particular those that are located in genomic islands and likely to confer habitat-specific fitness advantages; Use the microbial community gene expression data that we generate to gain insights, and test hypotheses, about the variability, genomic context, activity and function of as yet uncharacterized gene products, that appear highly expressed in the environment. We achieved the above goals, and even more over the course of the project. This includes a number of novel methodological developments, as well as the standardization of microbial community gene expression analyses in both field surveys, and experimental modalities. The availability of these methods, tools and approaches is changing current practice in microbial community analyses.

  3. MTX final report

    International Nuclear Information System (INIS)

    Hooper, E.B.; Allen, S.L.; Brown, M.D.; Byers, J.A.; Casper, T.A.; Cohen, B.I.; Cohen, R.H.; Fenstermacher, M.E.; Foote, J.H.; Hoshino, K.

    1994-01-01

    The MTX experiment was proposed in 1986 to apply high frequency microwaves generated by a free-electron laser (FEL) to electron cyclotron resonance heating (ECRH) in a high field, high density tokamak. As the absorption of microwaves at the electron cyclotron resonance requires high frequencies, the opportunity of applying a free-electron laser has appeal as the device is not limited to frequencies in the microwave or long millimeter wavelength regions, in contrast to many other sources. In addition, the FEL is inherently a high power source of microwaves, which would permit single units of 10 MW or more, optimum for reactors. Finally, it was recognized early in the study of the application of the FEL based on the induction linear accelerator, that the nonlinear effects associated with the intense pulses of microwaves naturally generated would offer several unique opportunities to apply ECRH to current drive, MHD control, and other plasma effects. It was consequently decided to adapt the induction accelerator based FEL to heating and controlling the tokamak, and to conduct experiments on the associated physics. To this end, the Alcator C tokamak was moved from the Massachusetts Institute of Technology (MIT) to the Lawrence Livermore National Laboratory where it was installed in Building 431 and operated from March, 1989, until the conclusion of the experiment in October, 1992. The FEL, based on the ETA-11 accelerator and IMP wiggler was brought into operation by the LLNL Electron Beam Group and power injected into the tokamak during an experimental run in the Fall, 1989. Following an upgrade by the MTX group, a second experimental run was made lasting from the Winter, 1992 through the end of the experiment. Significant contributions to the ECRH experiments were made by the Japan Atomic Energy Research Institute (JAERI)

  4. MTX final report

    Energy Technology Data Exchange (ETDEWEB)

    Hooper, E.B. [ed.; Allen, S.L.; Brown, M.D.; Byers, J.A.; Casper, T.A.; Cohen, B.I.; Cohen, R.H.; Fenstermacher, M.E.; Foote, J.H.; Hoshino, K. [and others

    1994-01-01

    The MTX experiment was proposed in 1986 to apply high frequency microwaves generated by a free-electron laser (FEL) to electron cyclotron resonance heating (ECRH) in a high field, high density tokamak. As the absorption of microwaves at the electron cyclotron resonance requires high frequencies, the opportunity of applying a free-electron laser has appeal as the device is not limited to frequencies in the microwave or long millimeter wavelength regions, in contrast to many other sources. In addition, the FEL is inherently a high power source of microwaves, which would permit single units of 10 MW or more, optimum for reactors. Finally, it was recognized early in the study of the application of the FEL based on the induction linear accelerator, that the nonlinear effects associated with the intense pulses of microwaves naturally generated would offer several unique opportunities to apply ECRH to current drive, MHD control, and other plasma effects. It was consequently decided to adapt the induction accelerator based FEL to heating and controlling the tokamak, and to conduct experiments on the associated physics. To this end, the Alcator C tokamak was moved from the Massachusetts Institute of Technology (MIT) to the Lawrence Livermore National Laboratory where it was installed in Building 431 and operated from March, 1989, until the conclusion of the experiment in October, 1992. The FEL, based on the ETA-11 accelerator and IMP wiggler was brought into operation by the LLNL Electron Beam Group and power injected into the tokamak during an experimental run in the Fall, 1989. Following an upgrade by the MTX group, a second experimental run was made lasting from the Winter, 1992 through the end of the experiment. Significant contributions to the ECRH experiments were made by the Japan Atomic Energy Research Institute (JAERI).

  5. Predicting outcome

    African Journals Online (AJOL)

    events, preoperative brain natriuretic peptide (BNP) may be a better predictor of postoperative cardiac complications, than troponins.8 Preoperative BNP elevation identifies a vulnerable ventricle at risk of a major adverse cardiac event, while troponin elevations most commonly reflect myocyte necrosis as a final common ...

  6. Psychosocial Interventions in the Treatment of Severe Adolescent Obesity: The SHINE Program.

    Science.gov (United States)

    Nobles, James; Radley, Duncan; Dimitri, Paul; Sharman, Kath

    2016-11-01

    Psychosocial interventions (PSIs) are characterized by three phases: (1) an initial in-depth assessment, (2) an intensive multifaceted intervention to stem a condition, and (3) an extensive maintenance program. PSIs are often used for treatment of mental health conditions; however, applicability in the treatment of adolescent obesity is unknown. This article sought to evaluate the service-level outcomes of a PSI for young people (aged 10-17) with severe obesity. A retrospective evaluation of participants attending the Self Help, Independence, Nutrition and Exercise program between 2011 and 2016 (n = 435; age: 13.1 ± 2.1 years, male: 51%, white: 87.4%, body mass index [BMI]: 33.5 ± 7.5 kg/m 2 , standardized BMI [BMI SDS]: 3.1 ± .5 units). Anthropometric measurements (BMI and waist circumference) were collected at baseline, 3, 6, 9, and 12 months. Psychosocial measures (anxiety, depression, and self-esteem) were collected at baseline and 3 months. Participant retention was also assessed. After 3 months, 95% of participants remained with a mean BMI SDS reduction of .19 units (95% confidence interval: .17, .21). Anxiety, depression, and self-esteem improved by 50%, 54%, and 38%, respectively. BMI SDS reductions of .29, .35, and .41 units were found at 6, 9, and 12 months. Fifty-four percent of participants chose to attend the final intervention phase. A higher baseline BMI SDS and a greater reduction in BMI SDS predicted final intervention phase attendance. The Self Help, Independence, Nutrition and Exercise PSI demonstrated positive mean reductions in all measurements across all time points. In contrast to other community-based weight management services, these results suggest the utility of, and further exploration of, PSIs in the treatment of severe adolescent obesity. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  7. Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Juan Camilo Serrano

    2011-12-16

    New and novel material and process technologies applied in wind blade designs and production are critical to increasing the competitiveness of wind power generation against traditional sources of energy. In this project, through collaboration between PPG Industries and MAG Industrial Automation Systems, the potential of using automated manufacturing for the production of fiber glass composite wind blades was evaluated from both technical and economic points of view. Further, it was demonstrated that by modifying the standard blade raw material forms through the use of cost effective pre-impregnated rovings coupled with using an automated fiber placement machine to lay up the parts, it is possible to produce state of the art composite laminates with significantly improved mechanical performance and with higher processing rates than standard blade production technology allows for today, thereby lowering the cost of energy over turbine blades made using traditional processes and materials. In conformity with the scope of work of the submitted proposal, the project team completed each task and documented and reported its findings on the appropriate quarterly report submitted to the DOE project team. The activities and this report are divided into 5 subtasks: (1) Material Investigation - Reviews traditional materials and key specifications and testing methods; (2) Manufacturing and Automation - Identifies new candidate material forms and automated layup processes; (3) Process Development - Performs trials of candidate materials and processes; (4) Predictive Analysis - Assesses impact of new material forms and automated processes on a model blade design; and (5) Feasibility Assessment - Compares traditional manufacturing processes and materials to new candidate material forms and automated processes.

  8. Final report. [Nonlinear magnetohydrodynamics

    International Nuclear Information System (INIS)

    Montgomery, D.C.

    1998-01-01

    This is a final report on the research activities carried out under the above grant at Dartmouth. During the period considered, the grant was identified as being for nonlinear magnetohydrodynamics, considered as the most tractable theoretical framework in which the plasma problems associated with magnetic confinement of fusion plasmas could be studied. During the first part of the grant's lifetime, the author was associated with Los Alamos National Laboratory as a consultant and the work was motivated by the reversed-field pinch. Later, when that program was killed at Los Alamos, the problems became ones that could be motivated by their relation to tokamaks. Throughout the work, the interest was always on questions that were as fundamental as possible, compatible with those motivations. The intent was always to contribute to plasma physics as a science, as well as to the understanding of mission-oriented confined fusion plasmas. Twelve Ph.D. theses were supervised during this period and a comparable number of postdoctoral research associates were temporarily supported. Many of these have gone on to distinguished careers, though few have done so in the context of the controlled fusion program. Their work was a combination of theory and numerical computation, in gradually less and less idealized settings, moving from rectangular periodic boundary conditions in two dimensions, through periodic straight cylinders and eventually, before the grant was withdrawn, to toroids, with a gradually more prominent role for electrical and mechanical boundary conditions. The author never had access to a situation where he could initiate experiments and relate directly to the laboratory data he wanted. Computers were the laboratory. Most of the work was reported in referred publications in the open literature, copies of which were transmitted one by one to DOE at the time they appeared. The Appendix to this report is a bibliography of published work which was carried out under the

  9. Prediction Markets

    DEFF Research Database (Denmark)

    Horn, Christian Franz; Ivens, Bjørn Sven; Ohneberg, Michael

    2014-01-01

    In recent years, Prediction Markets gained growing interest as a forecasting tool among researchers as well as practitioners, which resulted in an increasing number of publications. In order to track the latest development of research, comprising the extent and focus of research, this article...... works, articles of theoretical nature, application-oriented studies and articles dealing with the topic of law and policy. The analysis of the research results reveals that more than half of the literature pool deals with the application and actual function tests of Prediction Markets. The results...

  10. Essays on Earnings Predictability

    DEFF Research Database (Denmark)

    Bruun, Mark

    This dissertation addresses the prediction of corporate earnings. The thesis aims to examine whether the degree of precision in earnings forecasts can be increased by basing them on historical financial ratios. Furthermore, the intent of the dissertation is to analyze whether accounting standards...... affect the accuracy of analysts´earnings forecasts. Finally, the objective of the dissertation is to investigate how the stock market is affected by the accuracy of corporate earnings projections. The dissertation contributes to a deeper understanding of these issues. First, it is shown how earnings...... forecasts are not more accurate than the simpler forecasts based on a historical timeseries of earnings. Secondly, the dissertation shows how accounting standards affect analysts’ earnings predictions. Accounting conservatism contributes to a more volatile earnings process, which lowers the accuracy...

  11. Incorporating medical interventions into carrier probability estimation for genetic counseling

    Directory of Open Access Journals (Sweden)

    Katki Hormuzd A

    2007-03-01

    Full Text Available Abstract Background Mendelian models for predicting who may carry an inherited deleterious mutation of known disease genes based on family history are used in a variety of clinical and research activities. People presenting for genetic counseling are increasingly reporting risk-reducing medical interventions in their family histories because, recently, a slew of prophylactic interventions have become available for certain diseases. For example, oophorectomy reduces risk of breast and ovarian cancers, and is now increasingly being offered to women with family histories of breast and ovarian cancer. Mendelian models should account for medical interventions because interventions modify mutation penetrances and thus affect the carrier probability estimate. Methods We extend Mendelian models to account for medical interventions by accounting for post-intervention disease history through an extra factor that can be estimated from published studies of the effects of interventions. We apply our methods to incorporate oophorectomy into the BRCAPRO model, which predicts a woman's risk of carrying mutations in BRCA1 and BRCA2 based on her family history of breast and ovarian cancer. This new BRCAPRO is available for clinical use. Results We show that accounting for interventions undergone by family members can seriously affect the mutation carrier probability estimate, especially if the family member has lived many years post-intervention. We show that interventions have more impact on the carrier probability as the benefits of intervention differ more between carriers and non-carriers. Conclusion These findings imply that carrier probability estimates that do not account for medical interventions may be seriously misleading and could affect a clinician's recommendation about offering genetic testing. The BayesMendel software, which allows one to implement any Mendelian carrier probability model, has been extended to allow medical interventions, so future

  12. Final Performance Progress Report

    Energy Technology Data Exchange (ETDEWEB)

    Houldin, Joseph [Delaware Valley Industrial Resource Center, Philadelphia, PA (United States); Saboor, Veronica [Delaware Valley Industrial Resource Center, Philadelphia, PA (United States)

    2016-03-30

    about assessing a company’s technical assets, broadening our view of the business to go beyond what they make or what NAICS code they have…to better understand their capacity, capability, and expertise, and to learn more about THEIR customers. Knowing more about the markets they serve can often provide insight into their level of technical knowledge and sophistication. Finally, in the spirit of realizing the intent of the Accelerator we strove to align and integrate the work and activities supported by the five funding agencies to leverage each effort. To that end, we include in the Integrated Work Plan a graphic that illustrates that integration. What follows is our summary report of the project, aggregated from prior reports.

  13. Early response as predictor of final remission in elderly depressed patients

    NARCIS (Netherlands)

    Kok, Rob M.; van Baarsen, Carlijn; Nolen, Willem A.; Heeren, Thea J.

    2009-01-01

    Background Several studies have attempted to predict the final response or remission based on improvement during the early Course of treatment of major depression. There is however a great variation in cut offs used to define early response and in the optimal week to predict final results. Objective

  14. Predicting visibility of aircraft.

    Science.gov (United States)

    Watson, Andrew; Ramirez, Cesar V; Salud, Ellen

    2009-05-20

    Visual detection of aircraft by human observers is an important element of aviation safety. To assess and ensure safety, it would be useful to be able to be able to predict the visibility, to a human observer, of an aircraft of specified size, shape, distance, and coloration. Examples include assuring safe separation among aircraft and between aircraft and unmanned vehicles, design of airport control towers, and efforts to enhance or suppress the visibility of military and rescue vehicles. We have recently developed a simple metric of pattern visibility, the Spatial Standard Observer (SSO). In this report we examine whether the SSO can predict visibility of simulated aircraft images. We constructed a set of aircraft images from three-dimensional computer graphic models, and measured the luminance contrast threshold for each image from three human observers. The data were well predicted by the SSO. Finally, we show how to use the SSO to predict visibility range for aircraft of arbitrary size, shape, distance, and coloration.

  15. Practical interventional radiology

    International Nuclear Information System (INIS)

    Lammer, J.; Schreyer, H.

    1991-01-01

    The book is intended as a practical guide and manual for interventional radiology applications. Main emphasis is placed on the performance of the various techniques, with explanations of the various steps to be taken, illustrated by drawings or pictures. Indications, contra-indications and clinical achievements are given in brief. There is one chapter each for the following techniques: angioplasty - intra-arterial fibrinolysis - vascular stents - neuroembolisation - embolisation of other vessels - biliary interventions - abscess drainage - nephrostomy and ureteral manipulations -percutaneous fine-needle biopsy - vena cava filters - interventional radiology in infants. (orig.)

  16. REDUPP. Final report

    International Nuclear Information System (INIS)

    Zetterstroem Evins, L.; Juhola, P.; Vaehaenen, M.

    2014-03-01

    grain boundaries with high misorientation angle. For ThO 2 , with a very low solubility at the experimental conditions, it is clear that the dissolution rate is affected by pH and complexing ligands. Dissolution was observed to occur in conjunction with precipitation in the vessel, indicating the formation of an amorphous phase, and the importance of the initial surface properties. Reactions of fluorite surfaces with H 2 O have been described using Ab Initio Molecular Dynamics, combined with atomistic thermodynamics. This work predicts dissociative chemisorption of water, leading to a hydroxylated surface. The tests with UO 2 have shown that using natural groundwater will slightly elevate the dissolution rate; the effect is most pronounced for fresh groundwater with a relatively high carbonate content. There is no observed correlation with dissolution rate and salinity of the groundwater. As with ThO 2 , dissolution occurs in conjunction with precipitation and/or sorption in the reaction vessel. Overall, the results show the effects of surface properties, especially grain boundaries and surface defects, on measured dissolution rates. Changes in the chemical composition of the fluid will affect the dissolution rate, as will the crystallographic structure of the exposed surfaces. The surface properties are expected to change over time, as could the fluid composition. Thus, these parameters need to be carefully considered when conducting laboratory experiments and when applying these dissolution rates to analyses that cover many thousands of years. (orig.)

  17. [A Group Cognitive-Behavioural Intervention to Prevent Depression Relapse in Individuals Having Recently Returned to Work: Protocol and Feasibility].

    Science.gov (United States)

    Lecomte, Tania; Corbière, Marc

    Workplace depression is one of the major causes for sick leave and loss of productivity at work. Many studies have investigated factors predicting return to work for people with depression, including studies evaluating return to work programs and organizational factors. Yet, a paucity of studies have targeted the prevention of depressive relapses at work, even though more than half of those having had a depression will have a depressive relapse in the near future.Objectives This article describes a research protocol involving a novel group intervention based on cognitive behavioural principles with the aim to optimize return to work and diminish risk of depressive relapses.Method This pilot study follows a randomized controlled trial design, with half the participants (N=25) receiving the group intervention and the other half (N=25) receiving usual services. The theoretical and empirical underpinnings of the intervention are described, along with a detailed presentation of the intervention and of the study's objectives. The group intervention consists of 8 sessions whereby Cognitive behavioural therapy (CBT) principles and techniques are applied to the following themes: (1) Coping with stress at work; (2) Recognizing and modifying my dysfunctional beliefs linked to work; (3) Overcoming obstacles linked to work functioning and maintaining work; (4) Negotiating needed work adjustments with the support of the immediate supervisor; (5) Finding my strengths and competencies related to work; (6) Accepting criticism and asserting myself appropriately at work; (7) Uncovering my best coping strategies for work.Results Qualitative information pertaining to the first two cohorts' participants' subjective appreciation of the group experience revealed that the intervention was perceived as very useful by all, with group support, namely harmony and interpersonal support, as well as CBT strategies being mentioned specifically.Conclusion Finally, the potential relevance of the

  18. Neighborhood Interventions to Reduce Violence.

    Science.gov (United States)

    Kondo, Michelle C; Andreyeva, Elena; South, Eugenia C; MacDonald, John M; Branas, Charles C

    2018-01-12

    Violence is a widespread problem that affects the physical, mental, and social health of individuals and communities. Violence comes with an immense economic cost to its victims and society at large. Although violence interventions have traditionally targeted individuals, changes to the built environment in places where violence occurs show promise as practical, sustainable, and high-impact preventive measures. This review examines studies that use quasi-experimental or experimental designs to compare violence outcomes for treatment and control groups before and after a change is implemented in the built environment. The most consistent evidence exists in the realm of housing and blight remediation of buildings and land. Some evidence suggests that reducing alcohol availability, improving street connectivity, and providing green housing environments can reduce violent crimes. Finally, studies suggest that neither transit changes nor school openings affect community violence. Expected final online publication date for the Annual Review of Public Health Volume 39 is April 1, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

  19. Hurdles that impede economic evaluations of welfare interventions.

    Science.gov (United States)

    Schepers, Janne; Annemans, Lieven; Simoens, Steven

    2015-01-01

    Compared with economic evaluations of healthcare interventions, less experience has been gained in the field of economic evaluation of welfare interventions. This review suggests possible approaches to address four previously identified hurdles in economic evaluations of welfare interventions. After literature was searched through MEDLINE and EMBASE, it was found that Health-Related-Quality-of-Life questionnaires related to the condition of the target population are needed, instead of generic instruments. These condition-specific instruments use a multidimensional approach. There are specific instruments needed to take account of influences on informal caregivers. Moreover, it was shown that several aspects, such as crime rates and employment should be considered to estimate the impact on societal costs. Finally, the intervention must be described in detail and well defined to reduce variability. In conclusion, economic evaluations of welfare interventions increase complexity. These must be accounted for to permit valid assessments of the value for money of welfare interventions.

  20. Guideline for Early Interventions

    National Research Council Canada - National Science Library

    Vries, de, Maaike

    2006-01-01

    .... During the last years, the demand for early interventions has been increasing. International literature has shown that the psychosocial effects of disaster and military deployment may last for years...

  1. FINAL TECHNICAL REPORT

    Energy Technology Data Exchange (ETDEWEB)

    Loren F. Goodrich

    2011-05-31

    arena and to meet the aggressive performance goals. The latest high-performance Nb{sub 3}Sn wires are being designed with higher current densities, larger effective filament diameter, less Cu stabilizer, and, in some cases, larger wire diameters than ever before. In addition, some of the conductor designs and heat treatments cause the residual resistivity ratio (RRR, ratio of room temperature resistivity to the resistivity at 20 K) of the stabilizer to be less than 20. These parameters are pushing the conductors towards less intrinsic stability, into a region we call marginally stable. These parameters also create a whole series of challenges for routine I{sub c} testing on short-samples, even when tested with the sample immersed in liquid helium. High-current, variable-temperature I{sub c} measurements are even more difficult than those made in liquid helium because the sample is only cooled by flowing helium gas. Providing accurate I{sub c} results under these conditions requires a complex system that provide adequate cooling as well as uniform sample temperature. We have been make variable-temperature measurements for about 15 years, but we started to design the first high-current (at least 500 A), variable-temperature, variable-strain apparatus in late 2006. Our first critical-current measurements as a function of strain, temperature, and magnetic field, I{sub c}(B,T,{var_epsilon}), in a new single, unified apparatus (full matrix characterization) were made in the summer of 2008. This is the only such facility in the U.S. and it has some unique components that are not duplicated anywhere in the world. The compounding of all three variables (H, T, {var_epsilon}) makes an already labor and time intensive characterization very formidable; however, the results cannot be generated any other way and are needed to answer key questions about strain and temperature safety margins and about the reliability of using scaling laws based on small data sets to predict performance

  2. Towards an effective health interventions design: an extension of the health belief model.

    Science.gov (United States)

    Orji, Rita; Vassileva, Julita; Mandryk, Regan

    2012-01-01

    The recent years have witnessed a continuous increase in lifestyle related health challenges around the world. As a result, researchers and health practitioners have focused on promoting healthy behavior using various behavior change interventions. The designs of most of these interventions are informed by health behavior models and theories adapted from various disciplines. Several health behavior theories have been used to inform health intervention designs, such as the Theory of Planned Behavior, the Transtheoretical Model, and the Health Belief Model (HBM). However, the Health Belief Model (HBM), developed in the 1950s to investigate why people fail to undertake preventive health measures, remains one of the most widely employed theories of health behavior. However, the effectiveness of this model is limited. The first limitation is the low predictive capacity (R(2) Health Belief Model by introducing four new variables: Self-identity, Perceived Importance, Consideration of Future Consequences, and Concern for Appearance as possible determinants of healthy behavior. (2) We exhaustively explored the relationships/interactions between the HBM variables and their effect size. (3) We tested the validity of both our proposed extended model and the original HBM on healthy eating behavior. Finally, we compared the predictive capacity of the original HBM model and our extended model. To achieve the objective of this paper, we conducted a quantitative study of 576 participants' eating behavior. Data for this study were collected over a period of one year (from August 2011 to August 2012). The questionnaire consisted of validated scales assessing the HBM determinants - perceived benefit, barrier, susceptibility, severity, cue to action, and self-efficacy - using 7-point Likert scale. We also assessed other health determinants such as consideration of future consequences, self-identity, concern for appearance and perceived importance. To analyses our data, we employed

  3. The role of cognition in cost-effectiveness analyses of behavioral interventions

    Directory of Open Access Journals (Sweden)

    Prenger Rilana

    2012-03-01

    Full Text Available Abstract Background Behavioral interventions typically focus on objective behavioral endpoints like weight loss and smoking cessation. In reality, though, achieving full behavior change is a complex process in which several steps towards success are taken. Any progress in this process may also be considered as a beneficial outcome of the intervention, assuming that this increases the likelihood to achieve successful behavior change eventually. Until recently, there has been little consideration about whether partial behavior change at follow-up should be incorporated in cost-effectiveness analyses (CEAs. The aim of this explorative review is to identify CEAs of behavioral interventions in which cognitive outcome measures of behavior change are analyzed. Methods Data sources were searched for publications before May 2011. Results Twelve studies were found eligible for inclusion. Two different approaches were found: three studies calculated separate incremental cost-effectiveness ratios for cognitive outcome measures, and one study modeled partial behavior change into the final outcome. Both approaches rely on the assumption, be it implicitly or explicitly, that changes in cognitive outcome measures are predictive of future behavior change and may affect CEA outcomes. Conclusion Potential value of cognitive states in CEA, as a way to account for partial behavior change, is to some extent recognized but not (yet integrated in the field. In conclusion, CEAs should consider, and where appropriate incorporate measures of partial behavior change when reporting effectiveness and hence cost-effectiveness.

  4. Brief intervention to encourage empathic discipline cuts suspension rates in half among adolescents

    Science.gov (United States)

    Okonofua, Jason A.; Paunesku, David; Walton, Gregory M.

    2016-01-01

    Growing suspension rates predict major negative life outcomes, including adult incarceration and unemployment. Experiment 1 tested whether teachers (n = 39) could be encouraged to adopt an empathic rather than punitive mindset about discipline—to value students’ perspectives and sustain positive relationships while encouraging better behavior. Experiment 2 tested whether an empathic response to misbehavior would sustain students’ (n = 302) respect for teachers and motivation to behave well in class. These hypotheses were confirmed. Finally, a randomized field experiment tested a brief, online intervention to encourage teachers to adopt an empathic mindset about discipline. Evaluated at five middle schools in three districts (Nteachers = 31; Nstudents = 1,682), this intervention halved year-long student suspension rates from 9.6% to 4.8%. It also bolstered respect the most at-risk students, previously suspended students, perceived from teachers. Teachers’ mindsets about discipline directly affect the quality of teacher–student relationships and student suspensions and, moreover, can be changed through scalable intervention. PMID:27114516

  5. The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing

    Directory of Open Access Journals (Sweden)

    Peng Zhang

    2015-01-01

    Full Text Available Ebola virus disease (EVD distinguishes its feature as high infectivity and mortality. Thus, it is urgent for governments to draw up emergency plans against Ebola. However, it is hard to predict the possible epidemic situations in practice. Luckily, in recent years, computational experiments based on artificial society appeared, providing a new approach to study the propagation of EVD and analyze the corresponding interventions. Therefore, the rationality of artificial society is the key to the accuracy and reliability of experiment results. Individuals’ behaviors along with travel mode directly affect the propagation among individuals. Firstly, artificial Beijing is reconstructed based on geodemographics and machine learning is involved to optimize individuals’ behaviors. Meanwhile, Ebola course model and propagation model are built, according to the parameters in West Africa. Subsequently, propagation mechanism of EVD is analyzed, epidemic scenario is predicted, and corresponding interventions are presented. Finally, by simulating the emergency responses of Chinese government, the conclusion is finally drawn that Ebola is impossible to outbreak in large scale in the city of Beijing.

  6. Predicting epileptic seizures in advance.

    Directory of Open Access Journals (Sweden)

    Negin Moghim

    Full Text Available Epilepsy is the second most common neurological disorder, affecting 0.6-0.8% of the world's population. In this neurological disorder, abnormal activity of the brain causes seizures, the nature of which tend to be sudden. Antiepileptic Drugs (AEDs are used as long-term therapeutic solutions that control the condition. Of those treated with AEDs, 35% become resistant to medication. The unpredictable nature of seizures poses risks for the individual with epilepsy. It is clearly desirable to find more effective ways of preventing seizures for such patients. The automatic detection of oncoming seizures, before their actual onset, can facilitate timely intervention and hence minimize these risks. In addition, advance prediction of seizures can enrich our understanding of the epileptic brain. In this study, drawing on the body of work behind automatic seizure detection and prediction from digitised Invasive Electroencephalography (EEG data, a prediction algorithm, ASPPR (Advance Seizure Prediction via Pre-ictal Relabeling, is described. ASPPR facilitates the learning of predictive models targeted at recognizing patterns in EEG activity that are in a specific time window in advance of a seizure. It then exploits advanced machine learning coupled with the design and selection of appropriate features from EEG signals. Results, from evaluating ASPPR independently on 21 different patients, suggest that seizures for many patients can be predicted up to 20 minutes in advance of their onset. Compared to benchmark performance represented by a mean S1-Score (harmonic mean of Sensitivity and Specificity of 90.6% for predicting seizure onset between 0 and 5 minutes in advance, ASPPR achieves mean S1-Scores of: 96.30% for prediction between 1 and 6 minutes in advance, 96.13% for prediction between 8 and 13 minutes in advance, 94.5% for prediction between 14 and 19 minutes in advance, and 94.2% for prediction between 20 and 25 minutes in advance.

  7. TARGET 2 and Settlement Finality

    Directory of Open Access Journals (Sweden)

    Ivan MANGATCHEV

    2011-03-01

    Full Text Available This article examines how TARGET 2 as system implements the idea of settlement finality regulated by Directive 98/26 EC of the European parliament and of the Council of 19 May 1998 on settlement finality in payment and securities settlement systems (Settlement Finality Directive and Directive 2009/44/EC of the European parliament and of the Council of 6 May 2009 amending Directive 98/26/EC on settlement finality in payment and securities settlement systems and Directive 2002/47/EC on financial collateral arrangements as regards linked systems and credit claims (Directive 2009/44/EC. As the title of the arti and finality of the settlement in this system.

  8. Risk Prediction Models in Psychiatry: Toward a New Frontier for the Prevention of Mental Illnesses.

    Science.gov (United States)

    Bernardini, Francesco; Attademo, Luigi; Cleary, Sean D; Luther, Charles; Shim, Ruth S; Quartesan, Roberto; Compton, Michael T

    2017-05-01

    We conducted a systematic, qualitative review of risk prediction models designed and tested for depression, bipolar disorder, generalized anxiety disorder, posttraumatic stress disorder, and psychotic disorders. Our aim was to understand the current state of research on risk prediction models for these 5 disorders and thus future directions as our field moves toward embracing prediction and prevention. Systematic searches of the entire MEDLINE electronic database were conducted independently by 2 of the authors (from 1960 through 2013) in July 2014 using defined search criteria. Search terms included risk prediction, predictive model, or prediction model combined with depression, bipolar, manic depressive, generalized anxiety, posttraumatic, PTSD, schizophrenia, or psychosis. We identified 268 articles based on the search terms and 3 criteria: published in English, provided empirical data (as opposed to review articles), and presented results pertaining to developing or validating a risk prediction model in which the outcome was the diagnosis of 1 of the 5 aforementioned mental illnesses. We selected 43 original research reports as a final set of articles to be qualitatively reviewed. The 2 independent reviewers abstracted 3 types of data (sample characteristics, variables included in the model, and reported model statistics) and reached consensus regarding any discrepant abstracted information. Twelve reports described models developed for prediction of major depressive disorder, 1 for bipolar disorder, 2 for generalized anxiety disorder, 4 for posttraumatic stress disorder, and 24 for psychotic disorders. Most studies reported on sensitivity, specificity, positive predictive value, negative predictive value, and area under the (receiver operating characteristic) curve. Recent studies demonstrate the feasibility of developing risk prediction models for psychiatric disorders (especially psychotic disorders). The field must now advance by (1) conducting more large

  9. Nutrition intervention in scholars

    Directory of Open Access Journals (Sweden)

    Carolina Anzolin

    2010-12-01

    Full Text Available Objective: To verify the effectiveness of nutrition intervention in changing dietary intake among school children aged 6 to 10 years old in private school, in the city of Itajaí - SC, Brazil. Methods: A non-randomized and uncontrolled intervention study, carried through four educational activities in the period from August to November, 2008 and food intake reassessed at the end. We evaluated the nutritional status by means of body mass index for age and sex, and waist circumference. The frequency of consumption before and after intervention was compared using the paired Student t test. Results: Joined in the survey 93 students (69.92% of whom 48 children (54.5% were normal weight, while 36 (40.9% were overweight or presented obesity. The most consumed food groups, before and after intervention were: crackers and pasta; rice and fruit juice. The average frequency of sweets intake decreased after the intervention (0.54 to 0.24 times per day, p <0.001, however increased the intake of fried potatoes (0.25 to 0.65, p <0.001, pizza and hamburger (0.30 to 0.46, p = 0.028. Among girls, the intake of sweets decreased after the educational activities (0.58 to 0.12, p <0.001. Conclusions: Nutritional interventions, despite the short period of time, were effective in changing the consumption of certain foods / food groups. The results reinforce the need to carry out interventions more often and for longer periods, to promote effective changes in food consumption.

  10. A Final Approach Trajectory Model for Current Operations

    Science.gov (United States)

    Gong, Chester; Sadovsky, Alexander

    2010-01-01

    Predicting accurate trajectories with limited intent information is a challenge faced by air traffic management decision support tools in operation today. One such tool is the FAA's Terminal Proximity Alert system which is intended to assist controllers in maintaining safe separation of arrival aircraft during final approach. In an effort to improve the performance of such tools, two final approach trajectory models are proposed; one based on polynomial interpolation, the other on the Fourier transform. These models were tested against actual traffic data and used to study effects of the key final approach trajectory modeling parameters of wind, aircraft type, and weight class, on trajectory prediction accuracy. Using only the limited intent data available to today's ATM system, both the polynomial interpolation and Fourier transform models showed improved trajectory prediction accuracy over a baseline dead reckoning model. Analysis of actual arrival traffic showed that this improved trajectory prediction accuracy leads to improved inter-arrival separation prediction accuracy for longer look ahead times. The difference in mean inter-arrival separation prediction error between the Fourier transform and dead reckoning models was 0.2 nmi for a look ahead time of 120 sec, a 33 percent improvement, with a corresponding 32 percent improvement in standard deviation.

  11. Predictive Manufacturing: A Classification Strategy to Predict Product Failures

    DEFF Research Database (Denmark)

    Khan, Abdul Rauf; Schiøler, Henrik; Kulahci, Murat

    2018-01-01

    manufacturing analytics model that employs a big data approach to predicting product failures; third, we illustrate the issue of high dimensionality, along with statistically redundant information; and, finally, our proposed method will be compared against the well-known classification methods (SVM, K......-nearest neighbor, artificial neural networks). The results from real data show that our predictive manufacturing analytics approach, using genetic algorithms and Voronoi tessellations, is capable of predicting product failure with reasonable accuracy. The potential application of this method contributes......Predicting failures can be considered a meaningful insight for the optimal planning of an industrial manufacturing process. In this era of advanced sensor technologies, when the collection of data from each step of the manufacturing process is common practice and advanced analytical skills enable...

  12. Basic principles for intervention after a nuclear or radiological emergency

    International Nuclear Information System (INIS)

    Per Hedemann Jensen

    1996-01-01

    The current status of internationally agreed principles for intervention after a nuclear accident or radiological emergency and the international development of intervention guidance since the Chernobyl accident are reviewed. The experience gained after the Chernobyl accident indicates that the international advice on intervention existing at the time of the Chernobyl accident was not fully understood by decision makers neither in Western Europe nor in the former USSR and that the guidance failed to address adequately the difficult social problems which can arise after a serious nuclear accident. The radiation protection philosophy of today distinguishes between practices and interventions. The radiological protection system of intervention includes justification of the protective action and optimization of the level of protection achieved by that action. Dose limits do not apply in intervention situations. The inputs to justification and optimization studies include factors that are related to radiological protection, whereas the final decisions on introduction of countermeasures would also depend on other factors. The basic principles for intervention as recommended by international organisations are discussed in detail and the application of the principles on a generic basis is illustrated for long-term protective actions. The concepts of intervention level, operational intervention level and action level are presented and the relation between these quantities is illustrated. The numerical guidance on intervention in a nuclear accident or radiological emergency or a chronic exposure situation given by ICRP, IAEA and in the Basic Safety Standards is presented. (author)

  13. A new, accurate predictive model for incident hypertension.

    Science.gov (United States)

    Völzke, Henry; Fung, Glenn; Ittermann, Till; Yu, Shipeng; Baumeister, Sebastian E; Dörr, Marcus; Lieb, Wolfgang; Völker, Uwe; Linneberg, Allan; Jørgensen, Torben; Felix, Stephan B; Rettig, Rainer; Rao, Bharat; Kroemer, Heyo K

    2013-11-01

    Data mining represents an alternative approach to identify new predictors of multifactorial diseases. This work aimed at building an accurate predictive model for incident hypertension using data mining procedures. The primary study population consisted of 1605 normotensive individuals aged 20-79 years with 5-year follow-up from the population-based study, that is the Study of Health in Pomerania (SHIP). The initial set was randomly split into a training and a testing set. We used a probabilistic graphical model applying a Bayesian network to create a predictive model for incident hypertension and compared the predictive performance with the established Framingham risk score for hypertension. Finally, the model was validated in 2887 participants from INTER99, a Danish community-based intervention study. In the training set of SHIP data, the Bayesian network used a small subset of relevant baseline features including age, mean arterial pressure, rs16998073, serum glucose and urinary albumin concentrations. Furthermore, we detected relevant interactions between age and serum glucose as well as between rs16998073 and urinary albumin concentrations [area under the receiver operating characteristic (AUC 0.76)]. The model was confirmed in the SHIP validation set (AUC 0.78) and externally replicated in INTER99 (AUC 0.77). Compared to the established Framingham risk score for hypertension, the predictive performance of the new model was similar in the SHIP validation set and moderately better in INTER99. Data mining procedures identified a predictive model for incident hypertension, which included innovative and easy-to-measure variables. The findings promise great applicability in screening settings and clinical practice.

  14. Frailty Intervention Trial (FIT

    Directory of Open Access Journals (Sweden)

    Lockwood Keri

    2008-10-01

    Full Text Available Abstract Background Frailty is a term commonly used to describe the condition of an older person who has chronic health problems, has lost functional abilities and is likely to deteriorate further. However, despite its common use, only a small number of studies have attempted to define the syndrome of frailty and measure its prevalence. The criteria Fried and colleagues used to define the frailty syndrome will be used in this study (i.e. weight loss, fatigue, decreased grip strength, slow gait speed, and low physical activity. Previous studies have shown that clinical outcomes for frail older people can be improved using multi-factorial interventions such as comprehensive geriatric assessment, and single interventions such as exercise programs or nutritional supplementation, but no interventions have been developed to specifically reverse the syndrome of frailty. We have developed a multidisciplinary intervention that specifically targets frailty as defined by Fried et al. We aim to establish the effects of this intervention on frailty, mobility, hospitalisation and institutionalisation in frail older people. Methods and Design A single centre randomised controlled trial comparing a multidisciplinary intervention with usual care. The intervention will target identified characteristics of frailty, functional limitations, nutritional status, falls risk, psychological issues and management of chronic health conditions. Two hundred and thirty people aged 70 and over who meet the Fried definition of frailty will be recruited from clients of the aged care service of a metropolitan hospital. Participants will be followed for a 12-month period. Discussion This research is an important step in the examination of specifically targeted frailty interventions. This project will assess whether an intervention specifically targeting frailty can be implemented, and whether it is effective when compared to usual care. If successful, the study will establish a

  15. Influence of ST-segment recovery on infarct size and ejection fraction in patients with ST-segment elevation myocardial infarction receiving primary percutaneous coronary intervention

    DEFF Research Database (Denmark)

    Hallén, Jonas; Ripa, Maria Sejersten; Johanson, Per

    2010-01-01

    percutaneous coronary intervention. Three methods for calculating and categorizing ST-segment recovery were used: (1) summed ST-segment deviation (STD) resolution analyzed in 3 categories (> or = 70%, > or = 30% to or = 2 mm). Infarct size and ejection fraction were assessed at 4 months by cardiac magnetic...... resonance imaging. All 3 ST-segment recovery algorithms predicted the final infarct size and cardiac function. Worst-lead residual STD performed the same as, or better than, the more complex methods and identified large subgroups at either end of the risk spectrum (median infarct size from the lowest...

  16. Immune interventions in stroke

    Science.gov (United States)

    Fu, Ying; Liu, Qiang; Anrather, Josef

    2016-01-01

    Inflammatory and immune responses in the brain can shape the clinical presentation and outcome of stroke. Approaches for effective management of acute stroke are sparse and many measures for brain protection fail, but our ability to modulate the immune system and modify the disease progression of multiple sclerosis is increasing. As a result, immune interventions are currently being explored as therapeutic interventions in acute stroke. In this Review, we compare the immunological features of acute stroke with those of multiple sclerosis, identify unique immunological features of stroke, and consider the evidence for immune interventions. In acute stroke, microglia activation and cell death products trigger an inflammatory cascade that damages vessels and the parenchyma within minutes to hours of the ischaemia or haemorrhage. Immune interventions that restrict brain inflammation, vascular permeability and tissue oedema must be administered rapidly to reduce acute immune-mediated destruction and to avoid subsequent immunosuppression. Preliminary results suggest that the use of drugs that modify disease in multiple sclerosis might accomplish these goals in ischaemic and haemorrhagic stroke. Further elucidation of the immune mechanisms involved in stroke is likely to lead to successful immune interventions. PMID:26303850

  17. Evaluating Prediction Markets for Internal Control Applications

    Science.gov (United States)

    2016-05-01

    would influence the survey indicators, the prediction market prices, and their sensitivity to misinformation. Finally, this study reveal s the results...realized in an academ ic setting. With a controll able number of influencing factors, the prediction markets were installed in several uni versity courses...of acceptance and the limited number of influencing factors in an academic setting, it is expected that the prediction market will perform

  18. Genetic Prediction.

    Science.gov (United States)

    Turkheimer, Eric

    2015-01-01

    The fundamental reason that the genetics of behavior has remained so controversial for so long is that the layer of theory between data and their interpretation is thicker and more opaque than in more established areas of science. The finding that variations in tiny snippets of DNA have small but detectable relations to variation in behavior surprises no one, at least no one who was paying attention to the twin studies. How such snippets of DNA are related to differences in behavior-known as the gene-to-behavior pathway-is the great theoretical problem of modern behavioral genetics. Given that intentional human breeding is a horrific prospect, what kind of technology might we want (or fear) out of human behavioral genetics? One possibility is a technology that could predict important behavioral characteristics of humans based on their genomes alone. A moment's thought suggests significant benefits and risks that might be associated with such a possibility, but for the moment, just consider how convincing it would be if on the day of a baby's birth we could make meaningful predictions about whether he or she would become a concert pianist or an alcoholic. This article will consider where we are right now as regards that possibility, using human height and intelligence as the primary examples. © 2015 The Hastings Center.

  19. Final focus system for TLC

    International Nuclear Information System (INIS)

    Oide, K.

    1988-11-01

    A limit of the chromaticity correction for the final focus system of a TeV Linear Collider (TLC) is investigated. As the result, it becomes possible to increase the aperture of the final doublet with a small increase of the horizontal β function. The new optics design uses a final doublet of 0.5 mm half-aperture and 1.4 T pole-tip field. The length of the system is reduced from 400 m to 200 m by several optics changes. Tolerances for various machine errors with this optics are also studied. 5 refs., 7 figs., 2 tabs

  20. Responsiveness to Intervention in Children with Dyslexia.

    Science.gov (United States)

    Tilanus, Elisabeth A T; Segers, Eliane; Verhoeven, Ludo

    2016-08-01

    We examined the responsiveness to a 12-week phonics intervention in 54 s-grade Dutch children with dyslexia, and compared their reading and spelling gains to a control group of 61 typical readers. The intervention aimed to train grapheme-phoneme correspondences (GPCs), and word reading and spelling by using phonics instruction. We examined the accuracy and efficiency of grapheme-phoneme correspondences, decoding words and pseudowords, as well as the accuracy of spelling words before and after the intervention. Moreover, responsiveness to intervention was examined by studying to what extent scores at posttest could directly or indirectly be predicted from precursor measures. Results showed that the children with dyslexia were significantly behind in all reading and spelling measures at pretest. During the intervention, the children with dyslexia made more progress on GPC, (pseudo)word decoding accuracy and efficiency, and spelling accuracy than the typical reading group. Furthermore, we found a direct effect of the precursor measures rapid automatized naming, verbal working memory and phoneme deletion on the dyslexic children's progress in GPC speed, and indirect effects of rapid automatized naming and phoneme deletion on word and pseudoword efficiency and word decoding accuracy via the scores at pretest. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  1. Biliary intervention: Diagnostic and therapeutic considerations

    International Nuclear Information System (INIS)

    Zeman, R.K.; Druy, E.M.

    1987-01-01

    The intelligent application of the myriad of interventional biliary tract procedures requires a thorough knowledge of biliary pathology, a keen diagnostic acumen, and an awareness of the relative merits, advantages, and disadvantages of the various surgical, radiologic, and endoscopic interventional techniques. A proper understanding of the use of these techniques makes it possible to determine the etiology and level of biliary obstruction, to differentiate benign from malignant disorders, and to determine the best form of definitive or palliative therapy. The first part of the paper focuses on the differential diagnosis of obstructive biliary lesions amenable to either fluoroscopically or endoscopically performed interventions. The relative merits of invasive and noninvasive imaging techniques are discussed, with particular attention given to the accuracy and reliability of the various procedures in differentiating benign and malignant disorders as well as in predicting the therapy best suited to the lesion. The indications for biliary drainage and the use of noninvasive studies to evaluate the results of surgical or nonsurgical decompression are considered. The second part of the course highlights the practical aspects of biliary intervention in the various disease entities previously discussed. Antegrade and retrograde techniques of biliary intervention are described, with the indications and complications of each type of method illustrated. Attention is given to methods of preventing and managing the various complications. The primary topics for discussion are percutaneous and retrograde access to the biliary system, percutaneous endoscopic methods of biliary drainage, stricture dilation, biliary catheterization as an adjunct to surgery, and combined transhepatic and endoscopic procedures

  2. Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

    Science.gov (United States)

    Yang, Pei-Ching; Chang, Chia-Chi; Chiang, Jung-Hsien; Chen, Ying-Yeh

    2016-01-01

    Background Prompt recognition and intervention of negative emotions is crucial for patients with depression. Mobile phones and mobile apps are suitable technologies that can be used to recognize negative emotions and intervene if necessary. Objective Mobile phone usage patterns can be associated with concurrent emotional states. The objective of this study is to adapt machine-learning methods to analyze such patterns for the prediction of negative emotion. Methods We developed an Android-based app to capture emotional states and mobile phone usage patterns, which included call logs (and use of apps). Visual analog scales (VASs) were used to report negative emotions in dimensions of depression, anxiety, and stress. In the system-training phase, participants were requested to tag their emotions for 14 consecutive days. Five feature-selection methods were used to determine individual usage patterns and four machine-learning methods were tested. Finally, rank product scoring was used to select the best combination to construct the prediction model. In the system evaluation phase, participants were then requested to verify the predicted negative emotions for at least 5 days. Results Out of 40 enrolled healthy participants, we analyzed data from 28 participants, including 30% (9/28) women with a mean (SD) age of 29.2 (5.1) years with sufficient emotion tags. The combination of time slots of 2 hours, greedy forward selection, and Naïve Bayes method was chosen for the prediction model. We further validated the personalized models in 18 participants who performed at least 5 days of model evaluation. Overall, the predictive accuracy for negative emotions was 86.17%. Conclusion We developed a system capable of predicting negative emotions based on mobile phone usage patterns. This system has potential for ecological momentary intervention (EMI) for depressive disorders by automatically recognizing negative emotions and providing people with preventive treatments before it

  3. Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study.

    Science.gov (United States)

    Hung, Galen Chin-Lun; Yang, Pei-Ching; Chang, Chia-Chi; Chiang, Jung-Hsien; Chen, Ying-Yeh

    2016-08-10

    Prompt recognition and intervention of negative emotions is crucial for patients with depression. Mobile phones and mobile apps are suitable technologies that can be used to recognize negative emotions and intervene if necessary. Mobile phone usage patterns can be associated with concurrent emotional states. The objective of this study is to adapt machine-learning methods to analyze such patterns for the prediction of negative emotion. We developed an Android-based app to capture emotional states and mobile phone usage patterns, which included call logs (and use of apps). Visual analog scales (VASs) were used to report negative emotions in dimensions of depression, anxiety, and stress. In the system-training phase, participants were requested to tag their emotions for 14 consecutive days. Five feature-selection methods were used to determine individual usage patterns and four machine-learning methods were tested. Finally, rank product scoring was used to select the best combination to construct the prediction model. In the system evaluation phase, participants were then requested to verify the predicted negative emotions for at least 5 days. Out of 40 enrolled healthy participants, we analyzed data from 28 participants, including 30% (9/28) women with a mean (SD) age of 29.2 (5.1) years with sufficient emotion tags. The combination of time slots of 2 hours, greedy forward selection, and Naïve Bayes method was chosen for the prediction model. We further validated the personalized models in 18 participants who performed at least 5 days of model evaluation. Overall, the predictive accuracy for negative emotions was 86.17%. We developed a system capable of predicting negative emotions based on mobile phone usage patterns. This system has potential for ecological momentary intervention (EMI) for depressive disorders by automatically recognizing negative emotions and providing people with preventive treatments before it escalates to clinical depression.

  4. Who needs intervention?

    DEFF Research Database (Denmark)

    Jørgensen, Line Dahl

    2015-01-01

    Who needs intervention? A phonological screening tool for children with cleft palate Children with cleft palate +/- cleft lip (CP) are at risk of speech and language delay. It is important to identify children with difficulties as early as possible in order to offer appropriate intervention. Conv....... Lieberman, M., & Lohmander, A. (2014). Observation is a valid way of assessing common variables in typical babbling and identifies infants who need further support. Acta Paediatrica, 103(12), 1251–1257. doi:10.1111/apa.12776...

  5. Anesthesia for interventional radiology

    International Nuclear Information System (INIS)

    van Sonnenberg, E.; Casola, G.; Varney, R.R.; D'Agostino, H.B.; Zornow, M.; Mazzie, W.

    1989-01-01

    We recognized that the complexity and surgical nature of many interventional radiology procedures dictate essential radiologic involvement into traditional anesthesiologic areas. They reviewed our experience with a variety of interventional procedures to document complications and problems related to anesthetic use (or misuse) and compile recommendations for rational monitoring and control for these procedures. In particular, the authors have studied complications of drug therapies and the treatment of these complications; use of complex anesthesia procedures (e.g., epidural anesthesia, succinylcholine blockage); reasons for choice of drugs (e.g., fentanyl vs meperidine vs morphine); and medico-legal aspects of radiologist performing traditional anesthesiology-type procedures

  6. Early intervention in psychosis

    DEFF Research Database (Denmark)

    Csillag, Claudio; Nordentoft, Merete; Mizuno, Masafumi

    2017-01-01

    AIM: Early intervention in psychosis (EIP) is a well-established approach with the intention of early detection and treatment of psychotic disorders. Its clinical and economic benefits are well documented. This paper presents basic aspects of EIP services, discusses challenges to their implementa......AIM: Early intervention in psychosis (EIP) is a well-established approach with the intention of early detection and treatment of psychotic disorders. Its clinical and economic benefits are well documented. This paper presents basic aspects of EIP services, discusses challenges...

  7. [Interventional neuroradiology: current options].

    Science.gov (United States)

    Szikora, István; Marosfői, Miklós; Berentei, Zsolt; Gubucz, István

    2015-04-26

    Modern interventional neuroradiology has a leading role in the treatment of ischemic and hemorrhagic stroke, and it provides more and more important treatment options for degenerative diseases of the vertebral column and the management of correlated pain. During the last decades interventional neuroradiology has played a primary role in the treatment of intracranial berry aneurysms due to the continuous technical improvements. Ongoing studies proved superiority of mechanical stent-thrombectomy in acute proximal occlusion of cerebral arteries. Less invasive neurointerventional methods, such as vertebroplasty, are widely used in osteoporotic and neoplastic pathologic fractures of the vertebral bodies. These treatments should be performed in a specialized center by well trained physicians.

  8. DOE/EMSP--73914-Final

    Energy Technology Data Exchange (ETDEWEB)

    Roden, Eric E. [Univ. of Alabama, Tuscaloosa, AL (United States). Dept. of Biological Sciences; Urrutia, Matilde M. [Univ. of Alabama, Tuscaloosa, AL (United States). Dept. of Biological Sciences; Barnett, Mark O. [Auburn Univ., AL (United States). Dept. of Civil Engineering; Lange, Clifford R. [Auburn Univ., AL (United States). Dept. of Civil Engineering

    2005-07-18

    (VI) reduction is likely to be less efficient in natural soils and sediments than would be inferred from studies with synthetic Fe(III) oxides. A key implication of these findings is that production of Fe(II)-enriched sediments during one-time (or periodic) stimulation of DMRB activity is not likely to permit efficient long-term abiotic conversion of U(VI) to U(IV) in biogenic redox barriers designed to prevent far-field subsurface U(VI) migration. Instead our results suggest that ongoing DMRB activity will be required to achieve maximal U(VI) reduction efficiency, and emphasize the need for detailed understanding of patterns of DMRB growth, colonization, and maintenance in physically and chemically heterogeneous subsurface environments in order to predict the effectiveness of subsurface U(VI) bioremediation operations. A final ''capstone'' aspect of experimental work on the project was to examine the potential for sustained coupled Fe(III) oxide and U(VI) reduction in experimental flow-through reactor systems (i.e. sediment columns and ''semicontinuous culture'' systems) that are conceptually analogous to hydrologically-open subsurface environments. The results conclusively demonstrated the potential for sustained removal of U(VI) from solution via DMRB activity in excess of the U(VI) sorption capacity of the natural mineral assemblages as determined in abiotic controls. In addition, the abundance of sorbed U(VI) (a potential long-term source of U(VI) to the aqueous phase) was much lower in the biotic vs. abiotic systems. The latter results agree with other project findings which demonstrated the capacity for G. sulfurreducens to reduce sorbed U(VI). Throughout the project we have developed and refined a variety of reaction-based models of coupled Fe(III) oxide/U(VI) reduction, including a generalized model which accounts for the population dynamics of various respiratory microbial functional groups. These models have been employed in

  9. Finally

    Indian Academy of Sciences (India)

    First page Back Continue Last page Overview Graphics. Broadband in Rural India is not just about connectivity. Broadband in Rural India is not just about connectivity. It is about transforming rural areas of S. Asia.

  10. Randomized psychosocial interventions for breast cancer: impact on life purpose.

    Science.gov (United States)

    Mens, Maria G; Helgeson, Vicki S; Lembersky, Barry C; Baum, Andrew; Scheier, Michael F

    2016-06-01

    The present study sought to identify mediators underlying the effects of an education and a peer support intervention for women with breast cancer and to determine if the efficacy of a peer support intervention is moderated by cancer severity. Participants included 180 patients with early stage (I or II) and 65 patients with late stage (IV) breast cancer. The study was originally planned as a 2 (early stage, late stage) × 3 (education intervention, peer support intervention, control condition) design; however, the education condition for the late stage cancer group was dropped, because of slow recruitment. Participants completed measures of well-being prior to being randomized (Time 1), then again 2 weeks after the group meetings ended (Time 2), and 6 months later (Time 3). Among the participants who had attended at least one group meeting, the education intervention predicted more life purpose and marginally predicted more perceived physical health at Time 2. The peer support intervention predicted more life purpose and less depressive symptoms at Time 2. Cancer severity did not moderate these effects. The effect of the peer support intervention on depressive symptoms was mediated by life purpose. None of the intervention effects were evident at Time 3. Peer support interventions have positive short-term effects on well-being, among women with late and early stage breast cancer, and these effects are partially mediated by changes in life purpose. Education interventions have positive short-term effects on well-being among women with early stage breast cancer. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  11. HINTS Puerto Rico: Final Report

    Science.gov (United States)

    This final report describes HINTS implementation in Puerto Rico. The report addresses sampling; staffing, training and management of data collection; calling protocol; findings from the CATI Operations, and sample weights.

  12. Mechanism and Finality in Biology

    Directory of Open Access Journals (Sweden)

    Andrés Luis JAUME RODRÍGUEZ

    2011-04-01

    Full Text Available This article defends a teleological approach which is compatible with our scientific image. It is held that organisms can be depicted as autonomous systems in which occurs autorregulation processes and exhibits a teleological behaviour oriented to an equilibrium. Furthermore, the aforementioned systems are well depicted as mechanical ones. In sum, finality can be understood as a search of an equilibrium by the natural systems in their adaptation to environment. So, we conciliate finalism and mechanicism.

  13. CS 4624 Simplysent Final Report

    OpenAIRE

    Golman, Daniel

    2015-01-01

    For CS4624, additional work was done to further improve the previous version of SimplySent. Word and PDF versions of the final report and final presentation describing this term project are attached. SimplySent is an easy way for busy professionals to strengthen their business relationships by sending thoughtful gifts in less time and with less hassle. We connect to various contact managers (salesforce, sugarcrm, highrise and gmail) so people can use their existing contacts in these system...

  14. Implementing a complex intervention to support personal recovery: a qualitative study nested within a cluster randomised controlled trial.

    Science.gov (United States)

    Leamy, Mary; Clarke, Eleanor; Le Boutillier, Clair; Bird, Victoria; Janosik, Monika; Sabas, Kai; Riley, Genevieve; Williams, Julie; Slade, Mike

    2014-01-01

    To investigate staff and trainer perspectives on the barriers and facilitators to implementing a complex intervention to help staff support the recovery of service users with a primary diagnosis of psychosis in community mental health teams. Process evaluation nested within a cluster randomised controlled trial (RCT). 28 interviews with mental health care staff, 3 interviews with trainers, 4 focus groups with intervention teams and 28 written trainer reports. 14 community-based mental health teams in two UK sites (one urban, one semi-rural) who received the intervention. The factors influencing the implementation of the intervention can be organised under two over-arching themes: Organisational readiness for change and Training effectiveness. Organisational readiness for change comprised three sub-themes: NHS Trust readiness; Team readiness; and Practitioner readiness. Training effectiveness comprised three sub-themes: Engagement strategies; Delivery style and Modelling recovery principles. Three findings can inform future implementation and evaluation of complex interventions. First, the underlying intervention model predicted that three areas would be important for changing practice: staff skill development; intention to implement; and actual implementation behaviour. This study highlighted the importance of targeting the transition from practitioners' intent to implement to actual implementation behaviour, using experiential learning and target setting. Second, practitioners make inferences about organisational commitment by observing the allocation of resources, Knowledge Performance Indicators and service evaluation outcome measures. These need to be aligned with recovery values, principles and practice. Finally, we recommend the use of organisational readiness tools as an inclusion criteria for selecting both organisations and teams in cluster RCTs. We believe this would maximise the likelihood of adequate implementation and hence reduce waste in research

  15. Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry.

    Science.gov (United States)

    Mozer, M C; Wolniewicz, R; Grimes, D B; Johnson, E; Kaushansky, H

    2000-01-01

    Competition in the wireless telecommunications industry is fierce. To maintain profitability, wireless carriers must control churn, which is the loss of subscribers who switch from one carrier to another.We explore techniques from statistical machine learning to predict churn and, based on these predictions, to determine what incentives should be offered to subscribers to improve retention and maximize profitability to the carrier. The techniques include logit regression, decision trees, neural networks, and boosting. Our experiments are based on a database of nearly 47,000 U.S. domestic subscribers and includes information about their usage, billing, credit, application, and complaint history. Our experiments show that under a wide variety of assumptions concerning the cost of intervention and the retention rate resulting from intervention, using predictive techniques to identify potential churners and offering incentives can yield significant savings to a carrier. We also show the importance of a data representation crafted by domain experts. Finally, we report on a real-world test of the techniques that validate our simulation experiments.

  16. The Role of Theory in Developing Psycho-Environmental Interventions

    Directory of Open Access Journals (Sweden)

    Jorge Raúl Palacios Delgado

    2012-12-01

    Full Text Available One of the activities of psychology is to promote positive change in personal behavior. This article show the usefulness of the theory for behavior change through design effective messages to behavioral change and development programs of psychosocial intervention. The theoretical model focuses in factors of behavioral changing: self-efficacy, skills, disposition and intention (MAHDI. The article describes the theory, shows how they can be applied to the selection environmental behavior, as well as their appropriate application in complementary intervention strategies that includes needs analysis, development and piloting program, applicability, social marketing and evaluation. Finally, how the theory can contribute to design youth intervention programs is discussed.

  17. THE EARLY VIOLENCE PREVENTION: REVISION OF PROGRAMS AND INTERVENTION MODALITIES

    Directory of Open Access Journals (Sweden)

    JUANITA HENAO ESCOBAR

    2005-07-01

    Full Text Available The article presents a review of different kinds of international early violence prevention-intervention programs,which have shown effectiveness in the reduction of preschooler’s aggression, and in some cases, in the prevention ofviolent behavior during adolescence and youth. The central matter of this article is what we can learn from theexperiences on this field of knowledge around the world. First, the target intervention problem is presented andframed in the colombian context. After presenting the main research findings about aggressive behavior in childrenand the risk factors associated with it, the related intervention modalities will be analyzed and described. Finally, thearticle derives some pragmatic conclusions and recommendations.

  18. Setting priorities for development of emerging interventions against childhood diarrhoea

    Directory of Open Access Journals (Sweden)

    Zulfiqar A. Bhutta

    2013-06-01

    Full Text Available An expert panel exercise was conducted to assess feasibility and potential effectiveness of 10 emerging health interventions against childhood diarrhoea. Twelve international experts were invited to take part in a CHNRI priority setting process. This group used 12 different criteria relevant to successful development and implementation of the emerging interventions, nine of which were retained in the final analysis. They showed most collective optimism towards developing household or community-level water treatment, followed by sustainable, affordable latrine options; those two emerging interventions were followed by antibiotic therapy of Cryptosporidium diarrhoea, and oral or transcutaneous enteric vaccine development.

  19. Sedoanalgesia in interventional radiology

    International Nuclear Information System (INIS)

    Linsenmaier, U.; Pfeifer, K.J.; Reiser, M.

    2002-01-01

    Purpose: Development of a save and effective protocol for analgosedation of patients undergoing painful interventional procedures. Material and Methods: In a prospective trial a consecutive series of 72 adult patients underwent analgosedation during painful interventions. A radiologist performed the analgosedation, the patients received a combination of a shortly effective piperidine derivative (Alfentanil [Rapifen trademark ]; 7.5-15 μg/kg body weight) and Benzodiazepine (midazolam [Dormicum trademark ]; 20 μg/kg body weight). After pre-procedure oxygenation patients were continuously monitored. Pain and discomfort were scored using an established visual-analog pain score (0-10). A control group (n=24) had received midazolam, pentazocine or fentanyl according to the study protocol. Results: All procedures could be carried out by an interventional radiologist and a nurse and/or technologist only. In 69/72 cases adequate analgosedation could be achieved. Injection of alfentanil was titrated, with a rapid onset and short acting effect of the analgesia. Patients reported an average pain score of 2.6 vs. 4.5 in the control group. Over 55% experienced no or mild pain (score 0-3), in the control group only 8% reached this level. Conclusion: A combination of shortly effective alfentanil and midazolam allows interventional radiologists to perform major procedures alone under effective analgosedation. This medication scheme is superior to the medication upon demand. (orig.) [de

  20. Obesogenic environment - intervention opportunities.

    Science.gov (United States)

    Fisberg, Mauro; Maximino, Priscila; Kain, Juliana; Kovalskys, Irina

    2016-01-01

    To evaluate environmental obesogenic-related factors, such as physical activity in neighborhoods and schools, nutritional behavior, and intervention programs. Critical analysis of literature with personal point of view from infant obesity experts and political advisors for public intervention. Although obesity is a public health problem affecting several age groups, it is among children and adolescents that it plays a more important role, due to treatment complexity, high likelihood of persistence into adulthood, and association with other non-transmissible diseases while still in early age. Environment is a main component of the genesis and outcomes in the near future or long term. Modification of intake with high-density food, meal skipping, and high intake of saturated fat, sugar, and salt, associated to high levels of sedentarism are main causes of obesity. Intervention opportunities are related to modifications in political, environmental, and individual settings. School and physical activities in the educational environment are intertwined with nutrition intervention in continuous education. A critical review of some different scenarios in Latin American countries is presented. Copyright © 2016 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. All rights reserved.

  1. Work–Life Interventions

    Directory of Open Access Journals (Sweden)

    He Lu Calvin Ong

    2014-07-01

    Full Text Available Despite disparities in the conceptualization of work–life balance (WLB and work–life harmony (WLH in the literature, there remains no evidence till date to validate these differences. Furthermore, there are currently no insights that shed light on the relationship between work–life initiatives and key business strategies of contemporary organizations. Hence, the current study investigated the differences between the constructs of WLB and WLH using a cognitive dissonance approach and assessed the impact of work–life interventions, based on these approaches, on individual creativity at work. Hundred participants, age ranging from 18 to 32 years (M = 23.94, SD = 3.87, with at least 6 months of working experience were recruited. Using an online questionnaire, participants were randomly assigned into WLB (n = 55 or WLH (n = 45 conditions. Participants were tasked to complete pre- and post-intervention measures of individual creativity, as well as a manipulation check using a cognitive dissonance scale. Results showed that participants in the WLB condition elicit higher levels of cognitive dissonance compared with participants in the WLH condition. This indicates an implicit difference in the constructs of WLB and harmony. Second, findings also suggest that work–life interventions adopting a WLH approach will have a more positive impact on individuals’ creativity at work compared with interventions targeted at achieving balance. Research, practical, and cultural implications of the findings are discussed in the article.

  2. Diagnostic and interventional radiology

    Energy Technology Data Exchange (ETDEWEB)

    Vogl, Thomas J. [Klinikum der Johann Wolfgang Goethe-Universitaet, Frankfurt am Main (Germany). Inst. fuer Diagnostische und Interventionelle Radiologie; Reith, Wolfgang [Universitaetsklinikum des Saarlandes, Homburg/Saar (Germany). Klinik fuer Diagnostische und Interventionelle Neuroradiologie; Rummeny, Ernst J. (ed.) [Technische Univ. Muenchen Klinikum rechts der Isar, Muenchen (Germany). Inst. fuer Radiologie

    2016-08-01

    This exceptional book covers all aspects of diagnostic and interventional radiology within one volume, at a level appropriate for the specialist. From the basics through diagnosis to intervention: the reader will find a complete overview of all areas of radiology. The clear, uniform structure, with chapters organized according to organ system, facilitates the rapid retrieval of information. Features include: Presentation of the normal radiological anatomy Classification of the different imaging procedures according to their diagnostic relevance Imaging diagnosis with many reference images Precise description of the interventional options The inclusion of many instructive aids will be of particular value to novices in decision making: Important take home messages and summaries of key radiological findings smooth the path through the jungle of facts Numerous tables on differential diagnosis and typical findings in the most common diseases offer a rapid overview and orientation Diagnostic flow charts outline the sequence of diagnostic evaluation All standard procedures within the field of interventional radiology are presented in a clinically relevant and readily understandable way, with an abundance of illustrations. This is a textbook, atlas, and reference in one: with more than 2500 images for comparison with the reader's own findings. This comprehensive and totally up-to-date book provides a superb overview of everything that the radiology specialist of today needs to know.

  3. The Weekend Intervention Program.

    Science.gov (United States)

    Siegal, Harvey A.

    The Weekend Intervention Program (WIP) at the Wright State University School of Medicine is described in this report. Designed to address severe health and social problems while supporting the university's academic mission, the program began with the goal of addressing the health and social problems of alcohol abusers. WIP is a 72-hour intensive…

  4. Intervention as Workplace Learning

    Science.gov (United States)

    Elkjaer, Bente; Nickelsen, Niels Christian Mossfeldt

    2016-01-01

    Purpose: The purpose of this paper is to illustrate how workplace interventions may benefit from a simultaneous focus on individuals' learning and knowledge and on the situatedness of workplaces in the wider world of changing professional knowledge regimes. This is illustrated by the demand for evidence-based practice in health care.…

  5. How learning analytics can early predict under-achieving students in a blended medical education course.

    Science.gov (United States)

    Saqr, Mohammed; Fors, Uno; Tedre, Matti

    2017-07-01

    Learning analytics (LA) is an emerging discipline that aims at analyzing students' online data in order to improve the learning process and optimize learning environments. It has yet un-explored potential in the field of medical education, which can be particularly helpful in the early prediction and identification of under-achieving students. The aim of this study was to identify quantitative markers collected from students' online activities that may correlate with students' final performance and to investigate the possibility of predicting the potential risk of a student failing or dropping out of a course. This study included 133 students enrolled in a blended medical course where they were free to use the learning management system at their will. We extracted their online activity data using database queries and Moodle plugins. Data included logins, views, forums, time, formative assessment, and communications at different points of time. Five engagement indicators were also calculated which would reflect self-regulation and engagement. Students who scored below 5% over the passing mark were considered to be potentially at risk of under-achieving. At the end of the course, we were able to predict the final grade with 63.5% accuracy, and identify 53.9% of at-risk students. Using a binary logistic model improved prediction to 80.8%. Using data recorded until the mid-course, prediction accuracy was 42.3%. The most important predictors were factors reflecting engagement of the students and the consistency of using the online resources. The analysis of students' online activities in a blended medical education course by means of LA techniques can help early predict underachieving students, and can be used as an early warning sign for timely intervention.

  6. Conducting Organizational-level occupational health interventions: What works?

    DEFF Research Database (Denmark)

    Nielsen, Karina; Randall, Raymond; Holten, Ann-Louise

    2010-01-01

    In recent years, there has been an increasing interest in how organizational-level occupational health interventions aimed at improving psychosocial working conditions and employee health and well-being may be planned, implemented and evaluated. It has been claimed that such interventions have...... their appropriateness in conducting organizationallevel occupational health interventions. Finally, we discuss where we still need more research to determine the working ingredients of organizational-level occupational health interventions....... the best chance of achieving a significant impact if they follow an intervention process that is structured and also includes the participation of employees. This paper provides an overview of prominent European methods that describe systematic approaches to improving employee health and well-being through...

  7. The value of independent specialty designation for interventional cardiology.

    Science.gov (United States)

    Blankenship, James C; Powell, Wayne A; Gray, Dawn R; Duffy, Peter L

    2017-01-01

    Interventional cardiology has finally completed, after 26 years of advocacy, a professional hat trick: independent board certification, membership as a unique specialty in the American Medical Association House of Delegates (AMA HOD), and recognition by the Centers for Medicaid and Medicare Services (CMS) as a separate medical specialty. This article points out how these distinctions for interventional cardiology and its professional society, the Society for Cardiovascular Angiography and Interventions (SCAI), have led to clear and definite benefits for interventional cardiologists and their patients. We focus on the least understood of these three-recognition by CMS and its implications for reimbursement and quality assessment for interventional cardiologists. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  8. Prediction, Regression and Critical Realism

    DEFF Research Database (Denmark)

    Næss, Petter

    2004-01-01

    This paper considers the possibility of prediction in land use planning, and the use of statistical research methods in analyses of relationships between urban form and travel behaviour. Influential writers within the tradition of critical realism reject the possibility of predicting social...... phenomena. This position is fundamentally problematic to public planning. Without at least some ability to predict the likely consequences of different proposals, the justification for public sector intervention into market mechanisms will be frail. Statistical methods like regression analyses are commonly...... seen as necessary in order to identify aggregate level effects of policy measures, but are questioned by many advocates of critical realist ontology. Using research into the relationship between urban structure and travel as an example, the paper discusses relevant research methods and the kinds...

  9. PREDICTION OF SPORT ADHERENCE THROUGH THE INFLUENCE OF AUTONOMY-SUPPORTIVE COACHING AMONG SPANISH ADOLESCENT ATHLETES

    Directory of Open Access Journals (Sweden)

    Bartolomé J. Almagro

    2010-03-01

    Full Text Available The purpose of this study was to test a motivational model of the coach-athlete relationship, based on self-determination theory and on the hierarchical model of intrinsic and extrinsic motivation. The sample comprised of 608 athletes (ages of 12-17 years completed the following measures: interest in athlete's input, praise for autonomous behavior, perceived autonomy, intrinsic motivation, and the intention to be physically active. Structural equation modeling results demonstrated that interest in athletes' input and praise for autonomous behavior predicted perceived autonomy, and perceived autonomy positively predicted intrinsic motivation. Finally, intrinsic motivation predicted the intention to be physically active in the future. The results are discussed in relation to the importance of the climate of autonomy support created by the coach on intrinsic motivation and adherence to sport by adolescent athletes. Further, the results provide information related to the possible objectives of future interventions for the education of coaches, with the goal of providing them with tools and strategies to favor the development of intrinsic motivation among their athletes. In conclusion, the climate of autonomy support created by the coach can predict the autonomy perceived by the athletes which predicts the intrinsic motivation experienced by the athletes, and therefore, their adherence to athletic practice. Key words: Autonomy support, perceived autonomy, intrinsic motivation, sport adherence

  10. Assessing compliance: Active versus inactive trainees in a memory intervention

    Directory of Open Access Journals (Sweden)

    Dana K Bagwell

    2008-06-01

    Full Text Available Dana K Bagwell, Robin L WestDepartment of Psychology, University of Florida, Gainesville, FL, USAAbstract: Extensive research on memory interventions has confirmed their success with older adults, but the individual difference factors that predict successful training outcomes remain relatively unexplored. In the current intervention, trainees were identified as active (compliant with training regimens or inactive using trainer ratings based on attendance, homework completion, and class participation. The active group showed significantly greater training-related gains than the inactive group and the control group on most measures. Compliance was predicted by health, education, and self-efficacy. Specifically, active trainees were more likely to have advanced degrees and somewhat higher self-efficacy, and to have higher vitality and fewer functional limitations than the inactive trainees. This research may assist future investigators to target interventions to those who will show the most benefit.Keywords: compliance, memory training, aging, intervention

  11. Evaluation of a physical activity intervention for new parents: protocol paper for a randomized trial

    Directory of Open Access Journals (Sweden)

    Alison Quinlan

    2017-11-01

    Full Text Available Abstract Background Identifying critical life transitions in people’s physical activity behaviors may illuminate the most opportune intervention apertures for chronic disease prevention. A substantive evidence base now indicates that parenthood is one of these critical transition points for physical activity decline. This study will examine whether a brief theory-based intervention can prevent a decline in physical activity among new parents over 6 months following intervention. This study protocol represents the first dyad-based physical activity initiative in the parenthood literature involving both mothers and fathers; prior research has focused on only mothers or only fathers (albeit limited, and has shown only short-term changes in physical activity. This study will be investigating whether a theory-based physical activity intervention can maintain or improve moderate to vigorous intensity physical activity measured via accelerometry of new parents over a 6 month period following intervention compared to a control group. Methods This study is a 6-month longitudinal randomized controlled trial. Parents are measured at baseline (2 months postpartum with two assessment points at 6 weeks (3.5 months postpartum and 3 months (5 months postpartum and a final follow-up assessment at 6 months (8 months postpartum. The content of the theory-based intervention was derived from the results of our prior longitudinal trial of new parents using an adapted theory of planned behavior framework to predict changes in physical activity. Results A total of 152 couples have been recruited to date. Sixteen couples dropped out after baseline and a total of 88 couples have completed their 6-month measures. Discussion If the intervention proves successful, couple-based physical activity promotion efforts among parents could be a promising avenue to pursue to help mitigate the declines of physical activity levels during parenthood. These findings could inform

  12. Evaluation of a physical activity intervention for new parents: protocol paper for a randomized trial.

    Science.gov (United States)

    Quinlan, Alison; Rhodes, Ryan E; Beauchamp, Mark R; Symons Downs, Danielle; Warburton, Darren E R; Blanchard, Chris M

    2017-11-09

    Identifying critical life transitions in people's physical activity behaviors may illuminate the most opportune intervention apertures for chronic disease prevention. A substantive evidence base now indicates that parenthood is one of these critical transition points for physical activity decline. This study will examine whether a brief theory-based intervention can prevent a decline in physical activity among new parents over 6 months following intervention. This study protocol represents the first dyad-based physical activity initiative in the parenthood literature involving both mothers and fathers; prior research has focused on only mothers or only fathers (albeit limited), and has shown only short-term changes in physical activity. This study will be investigating whether a theory-based physical activity intervention can maintain or improve moderate to vigorous intensity physical activity measured via accelerometry of new parents over a 6 month period following intervention compared to a control group. This study is a 6-month longitudinal randomized controlled trial. Parents are measured at baseline (2 months postpartum) with two assessment points at 6 weeks (3.5 months postpartum) and 3 months (5 months postpartum) and a final follow-up assessment at 6 months (8 months postpartum). The content of the theory-based intervention was derived from the results of our prior longitudinal trial of new parents using an adapted theory of planned behavior framework to predict changes in physical activity. A total of 152 couples have been recruited to date. Sixteen couples dropped out after baseline and a total of 88 couples have completed their 6-month measures. If the intervention proves successful, couple-based physical activity promotion efforts among parents could be a promising avenue to pursue to help mitigate the declines of physical activity levels during parenthood. These findings could inform public health materials and practitioners. This trial has been

  13. DUI recidivism by intervention adherence: a multiple risk factor approach.

    Science.gov (United States)

    Robertson, Angela; Gardner, Sheena; Walker, Courtney S; Tatch, Andrew

    2016-09-01

    Multi-component impaired driving interventions can reduce driving under the influence (DUI) recidivism rates; however, outcomes are better for those who complete the interventions and are adherent with program expectations. Research is needed to examine the differences between DUI offenders who are adherent vs. non-adherent to intervention efforts. The current study utilized a multi-risk factor model to predict recidivism among first-time DUI offenders enrolled in an intervention program. Differences between offenders who were adherent (including program completion) vs. non-adherent with the intervention were examined. Using data from the Mississippi Alcohol Safety Education Program (MASEP) and state administrative records, the current study examined both recidivism rates and rates of intervention completion for all individuals enrolled in the program. The sample was predominantly White (58.8%) and male (80.2%). Individuals who were adherent with the intervention were significantly less likely to recidivate within 3 years. Prior traffic or other criminal violations positively predicted recidivism rates. The likelihood of recidivism varied, with males, African Americans, and younger individuals with less education at greater risk of recidivism. Adherence with the intervention was more common for African American and older participants. The MASEP participants who were adherent with the intervention were significantly less likely to recidivate than those who were non-adherent. However, variance in the multi-component intervention completion rates suggests that the program resonates better with specific population subsets. We argue for researchers and policymakers to further explore how specific population subsets react to varying intervention programs to maximize efforts to reduce impaired driving.

  14. Hemodynamic Intervention of Cerebral Aneurysms

    Science.gov (United States)

    Meng, Hui

    2005-11-01

    Cerebral aneurysm is a pathological vascular response to hemodynamic stimuli. Endovascular treatment of cerebral aneurysms essentially alters the blood flow to stop them from continued growth and eventual rupture. Compared to surgical clipping, endovascular methods are minimally invasive and hence rapidly gaining popularity. However, they are not always effective with risks of aneurysm regrowth and various complications. We aim at developing a Virtual Intervention (VI) platform that allows: patient-specific flow calculation and risk prediction as well as recommendation of tailored intervention based on quantitative analysis. This is a lofty goal requiring advancement in three areas of research: (1). Advancement of image-based CFD; (2) Understanding the biological/pathological responses of tissue to hemodynamic factors in the context of cerebral aneurysms; and (3) Capability of designing and testing patient-specific endovascular devices. We have established CFD methodologies based on anatomical geometry obtained from 3D angiographic or CT images. To study the effect of hemodynamics on aneurysm development, we have created a canine model of a vascular bifurcation anastomosis to provide the hemodynamic environment similar to those in CA. Vascular remodeling was studied using histology and compared against the flow fields obtained from CFD. It was found that an intimal pad, similar to those frequently seen clinically, developed at the flow impingement site, bordering with an area of `groove' characteristic of an early stage of aneurysm, where the micro environment exhibits an elevated wall shear stresses. To further address the molecular mechanisms of the flow-mediated aneurysm pathology, we are also developing in vitro cell culture systems to complement the in vivo study. Our current effort in endovascular device development focuses on novel stents that alters the aneurysmal flow to promote thrombotic occlusion as well as favorable remodeling. Realization of an

  15. Protection of staff in interventional radiology

    International Nuclear Information System (INIS)

    Melkamu, M. A.

    2013-04-01

    This project focuses on the interventional radiology. The main objective of this project work was to provide a guidance and advice for occupational exposure and hospital management to optimize radiation protection safety and endorse safety culture. It provides practical information on how to minimize occupational exposure in interventional radiology. In the literature review all considerable parameters to reduce dose to the occupationally exposed are well discussed. These parameters include dose limit, risk estimation, use of dosimeter, personal dose record keeping, analysis of surveillance of occupational dose, investigation levels, and proper use of radiation protection tools and finally about scatter radiation dose rate. In addition the project discusses the ways to reduce occupational exposure in interventional radiology. The methods for dose reduction are minimizing fluoroscopic time, minimizing the number of fluoroscopic image, use of patient dose reduction technologies, use of collimation, planning interventional procedures, positioning in low scattered areas, use of protective shielding, use of appropriate fluoroscopic imaging equipment, giving training for the staff, wearing the dosimeters and know their own dose regularly, and management commitment to quality assurance and quality control system and optimization of radiation protection of safety. (author)

  16. Incorporating medical interventions into carrier probability estimation for genetic counseling

    OpenAIRE

    Katki, Hormuzd A

    2007-01-01

    Abstract Background Mendelian models for predicting who may carry an inherited deleterious mutation of known disease genes based on family history are used in a variety of clinical and research activities. People presenting for genetic counseling are increasingly reporting risk-reducing medical interventions in their family histories because, recently, a slew of prophylactic interventions have become available for certain diseases. For example, oophorectomy reduces risk of breast and ovarian ...

  17. Metalcasting competitiveness research. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Piwonka, T.S.

    1994-08-01

    This report comprises eleven separate reports: prediction of non- metallic particle distribution, electromagnetic separation of inclusions from molten Al alloy, clean steel castings, waste stream identification and treatment, elastic wave lithotripsy for removal of ceramic from investment castings, metal penetration in sand molds, mold-metal interface gas composition, improved Alloy 718, specifications for iron oxide additions to no-bake sands, criteria functions for defect prediction, and computer-aided cooling curve analysis.

  18. Crisis intervention: program evaluation.

    Science.gov (United States)

    Simington, J A; Cargill, L; Hill, W

    1996-11-01

    Crisis intervention is based upon crisis theory and is defined as a short-term active mode of therapy that focuses on solving the client's immediate problem and reestablishing psychological equilibrium. The crisis intervention program was the first phase in the development of a broader mental health program with advancement decisions being based upon evaluation results of this initial phase. An evaluation methodology using the Stufflebeam Goal-Stakeholder Model (1980) was designed and implemented. A satisfaction survey was conducted to develop a database relative to the program's process. The Mental Health Category Measure, and the Crisis Call Outcome Rating Scale were used to capture outcome data. Analysis of the qualitative and quantitative data indicate that stakeholders are satisfied with the program. outcome data demonstrates that the program produces the intended outcomes. Triangulation, a method of comparing the qualitative and quantitative findings revealed consistency, and thus provides confidence in the accuracy of the findings.

  19. Effectiveness of medical interventions.

    Science.gov (United States)

    Stegenga, Jacob

    2015-12-01

    To be effective, a medical intervention must improve one's health by targeting a disease. The concept of disease, though, is controversial. Among the leading accounts of disease-naturalism, normativism, hybridism, and eliminativism-I defend a version of hybridism. A hybrid account of disease holds that for a state to be a disease that state must both (i) have a constitutive causal basis and (ii) cause harm. The dual requirement of hybridism entails that a medical intervention, to be deemed effective, must target either the constitutive causal basis of a disease or the harms caused by the disease (or ideally both). This provides a theoretical underpinning to the two principle aims of medical treatment: care and cure. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Predictable Medea

    Directory of Open Access Journals (Sweden)

    Elisabetta Bertolino

    2010-01-01

    Full Text Available By focusing on the tragedy of the 'unpredictable' infanticide perpetrated by Medea, the paper speculates on the possibility of a non-violent ontological subjectivity for women victims of gendered violence and whether it is possible to respond to violent actions in non-violent ways; it argues that Medea did not act in an unpredictable way, rather through the very predictable subject of resentment and violence. 'Medea' represents the story of all of us who require justice as retribution against any wrong. The presupposition is that the empowered female subjectivity of women’s rights contains the same desire of mastering others of the masculine current legal and philosophical subject. The subject of women’s rights is grounded on the emotions of resentment and retribution and refuses the categories of the private by appropriating those of the righteous, masculine and public subject. The essay opposes the essentialised stereotypes of the feminine and the maternal with an ontological approach of people as singular, corporeal, vulnerable and dependent. There is therefore an emphasis on the excluded categories of the private. Forgiveness is taken into account as a category of the private and a possibility of responding to violence with newness. A violent act is seen in relations to the community of human beings rather than through an isolated setting as in the case of the individual of human rights. In this context, forgiveness allows to risk again and being with. The result is also a rethinking of feminist actions, feminine subjectivity and of the maternal. Overall the paper opens up the Arendtian category of action and forgiveness and the Cavarerian unique and corporeal ontology of the selfhood beyond gendered stereotypes.

  1. Basic interventional radiology in the abdomen.

    Science.gov (United States)

    Calero García, R; Garcia-Hidalgo Alonso, M I

    2016-05-01

    This article describes the different basic nonvascular interventional techniques in the abdomen that all general radiologists should be familiar with. It explains the indications and approaches for the different procedures (punctures, biopsies, drainage of collections, cholecystostomies, and nephrostomies). It also discusses the advantages and disadvantages of the different imaging techniques that can be used to guide these procedures (ultrasound, CT, and fluoroscopy) as well as the possible complications that can develop from each procedure. Finally, it shows the importance of following up patients clinically and of taking care of catheters. Copyright © 2016 SERAM. Published by Elsevier España, S.L.U. All rights reserved.

  2. Interventional vascular radiology

    International Nuclear Information System (INIS)

    Yune, H.Y.

    1984-01-01

    The papers published during this past year in the area of interventional vascular radiology presented some useful modifications and further experiences both in the area of thromboembolic therapy and in dilation and thrombolysis, but no new techniques. As an introductory subject, an excellent monograph reviewing the current spectrum of pharmacoangiography was presented in Radiographics. Although the presented material is primarily in diagnostic application of various pharmacologic agents used today to facilitate demonstration of certain diagnostic criteria of various disease processes, both vasodilatory and vasoconstrictive reaction to these agents are widely used in various therapeutic vascular procedures. This monograph should be reviewed by every angiographer whether or not he or she performs interventional procedures, and it would be very convenient to have this table available in the angiography suite. In a related subject, Bookstein and co-workers have written an excellent review concerning pharmacologic manipulations of various blood coagulative parameters during angiography. Understanding the proper method of manipulation of the bloodclotting factors during angiography, and especially during interventional angiography, is extremely important. Particularly, the method of manipulating the coagulation with the use of heparin and protamine and modification of the platelet activity by using aspirin and dipyridamole are succinctly reviewed. The systemic and selective thrombolytic activities of streptokianse are also discussed

  3. Predictors of response to physical therapy intervention in patients with primary hip osteoarthritis.

    Science.gov (United States)

    Wright, Alexis A; Cook, Chad E; Flynn, Timothy W; Baxter, G David; Abbott, J Haxby

    2011-04-01

    Few studies have investigated or identified common clinical tests and measures as being associated with progression of hip osteoarthritis (OA); fewer still are longitudinal studies exploring prognostic variables associated with long-term outcome following physical therapy treatment. The purpose of this study was to determine a set of prognostic factors that maximize the accuracy of identifying patients with hip osteoarthritis (OA) likely to demonstrate a favorable response to physical therapy intervention. This was a prognostic study. Ninety-one patients with a clinical diagnosis of hip OA were analyzed to determine which clinical measures, when clustered together, were most predictive of a favorable response to physical therapy intervention. Responders were determined based on OMERACT-OARSI response criteria, which included percent and absolute changes in pain, function, and global rating of change over 1 year. These data served as the reference standard for determining the predictive validity of baseline clinical examination variables. Using multivariate regression analyses and calculations for sensitivity, specificity, and positive and negative likelihood ratios, a cluster was identified. Five baseline variables (unilateral hip pain, age of ≤58 years, pain of ≥6/10 on a numeric pain rating scale, 40-m self-paced walk test time of ≤25.9 seconds, and duration of symptoms of ≤1 year) were retained in the final model. Failure to exhibit a condition of 1 of the 5 predictor variables decreased the posttest probability of responding favorably to physical therapy intervention from 32% to physical therapy intervention from 32% to 65% (positive likelihood ratio=3.99, 95% confidence interval=2.66-4.48), and having 3 or more of 5 predictor variables increased the posttest probability of success to 99% or higher. A comparison with a control group that did not receive physical therapy further substantiated the cluster. The small sample size and the number of variables

  4. Understanding predictability and exploration in human mobility

    DEFF Research Database (Denmark)

    Cuttone, Andrea; Jørgensen, Sune Lehmann; González, Marta C.

    2018-01-01

    Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive performance of models in literature varies quite broadly, from over 90% to under 40%. In this work we study which underlying...... strong influence on the accuracy of prediction. Finally we reveal that the exploration of new locations is an important factor in human mobility, and we measure that on average 20-25% of transitions are to new places, and approx. 70% of locations are visited only once. We discuss how these mechanisms...... are important factors limiting our ability to predict human mobility....

  5. Protein conformational flexibility prediction using machine learning.

    Science.gov (United States)

    Trott, Oleg; Siggers, Keri; Rost, Burkhard; Palmer, Arthur G

    2008-05-01

    Using a data set of 16 proteins, a neural network has been trained to predict backbone 15N generalized order parameters from the three-dimensional structures of proteins. The final network parameterization contains six input features. The average prediction accuracy, as measured by the Pearson's correlation coefficient between experimental and predicted values of the square of the generalized order parameter is >0.70. Predicted order parameters for non-terminal amino acid residues depends most strongly on the local packing density and the probability that the residue is located in regular secondary structure.

  6. Nuffield Early Language Intervention: Evaluation Report and Executive Summary

    Science.gov (United States)

    Sibieta, Luke; Kotecha, Mehul; Skipp, Amy

    2016-01-01

    The Nuffield Early Language Intervention is designed to improve the spoken language ability of children during the transition from nursery to primary school. It is targeted at children with relatively poor spoken language skills. Three sessions per week are delivered to groups of two to four children starting in the final term of nursery and…

  7. "Teacher, I Can Read!" The Marvels of Early Intervention Strategies

    Science.gov (United States)

    Murphy, Jean C.; Hernandez, Leonor

    2011-01-01

    "Teacher, I can read!" exclaimed Saree, a fourth-quarter second grader who was placed in the lowest of reading groups at a southwest side elementary school in Chicago. This was her proud announcement after three weeks of intensive intervention with Ms. Gomez, a student teacher in her final semester at Chicago State University. "Ms.…

  8. Pre-treatment amygdala volume predicts electroconvulsive therapy response

    NARCIS (Netherlands)

    ten Doesschate, Freek; van Eijndhoven, Philip; Tendolkar, Indira; van Wingen, Guido A.; van Waarde, Jeroen A.

    2014-01-01

    Electroconvulsive therapy (ECT) is an effective treatment for patients with severe depression. Knowledge on factors predicting therapeutic response may help to identify patients who will benefit most from the intervention. Based on the neuroplasticity hypothesis, volumes of the amygdala and

  9. Behind the scenes of the PRIME intervention: designing a complex intervention to improve malaria care at public health centres in Uganda

    Directory of Open Access Journals (Sweden)

    Deborah D. DiLiberto

    2015-10-01

    Full Text Available Background: In Uganda, health system challenges limit access to good quality healthcare and contribute to slow progress on malaria control. We developed a complex intervention (PRIME, which was designed to improve quality of care for malaria at public health centres. Objective: Responding to calls for increased transparency, we describe the PRIME intervention's design process, rationale, and final content and reflect on the choices and challenges encountered during the design of this complex intervention. Design: To develop the intervention, we followed a multistep approach, including the following: 1 formative research to identify intervention target areas and objectives; 2 prioritization of intervention components; 3 review of relevant evidence; 4 development of intervention components; 5 piloting and refinement of workshop modules; and 6 consolidation of the PRIME intervention theories of change to articulate why and how the intervention was hypothesized to produce desired outcomes. We aimed to develop an intervention that was evidence-based, grounded in theory, and appropriate for the study context; could be evaluated within a randomized controlled trial; and had the potential to be scaled up sustainably. Results: The process of developing the PRIME intervention package was lengthy and dynamic. The final intervention package consisted of four components: 1 training in fever case management and use of rapid diagnostic tests for malaria (mRDTs; 2 workshops in health centre management; 3 workshops in patient-centred services; and 4 provision of mRDTs and antimalarials when stocks ran low. Conclusions: The slow and iterative process of intervention design contrasted with the continually shifting study context. We highlight the considerations and choices made at each design stage, discussing elements we included and why, as well as those that were ultimately excluded. Reflection on and reporting of ‘behind the scenes’ accounts of intervention

  10. Attention for pediatric interventional radiology

    International Nuclear Information System (INIS)

    Zhu Ming; Cheng Yongde

    2005-01-01

    Radiological interventions possess wide utilization in the diagnosis and treatment for pediatric patients. Pediatric interventional radiology is an important branch of interventional radiology and also an important branch of pediatric radiology. Pediatric interventional radiology has grown substantially over the last 30 years, radiologists closely cooperation with surgeons and other physicians providing a new horizon in the management of pediatric diseases in western countries. It includes pediatric cardiac interventional radiology, pediatric neuro-interventional radiology, pediatric vascular interventional radiology, pediatric nonvascular interventional radiology, pediatric tumor interventional radiology and others. In the United States, every children hospital which owns two hundred beds has to have special trained interventional radiologists in radiologic department installing with advanced digital subtraction angiographic equipment. Interventional therapeutic procedures and diagnostic angiography have been proceeding more and more for the congenital and acquired diseases of children. The promising results give use uprising and interventional therapy as an alternative or a replacement or supplement to surgical operation. Pediatric interventional radiology is rather underdeveloped in China with a few special pediatric interventional radiologist, lack of digital subtraction angiography equipment. Pediatric radiologists have no enough field for interventional procedures such as pediatric neuro-interventional radiology and pediatric vascular interventional radiology. In the contrary adult interventional radiologists do have better interventional jobs in China and Pediatric cardiologists also share the same trend. They perform angiocardiography for congenital heart diseases and treat congenital heart disease with interventional procedures including balloon dilation of valves and vessels, coil embolization of collaterals, patent ducts and other arterial fistulae

  11. Report on Final Workshop results

    DEFF Research Database (Denmark)

    Cavalli, Valentino; Dyer, John; Robertson, Dale

    The SERENATE project held its Final Workshop in Bad Nauheim, Germany on 16-17 June 2003. More than ninety representatives of research and education networking organisations, national governments and funding bodies, network operators, equipment manufacturers and the scientific and education commun...

  12. Environmental Education Program. Final Report.

    Science.gov (United States)

    Edwards, Joan; Batty, Sara O.

    This final report deals with the efforts of the Environmental Action Coalition of New York City to change its network of recycling centers from collection points to educational centers for learning about solid waste and related environmental problems. This change was accomplished by first increasing the efficiency and the stability of the centers…

  13. MINIMARS conceptual design: Final report

    Energy Technology Data Exchange (ETDEWEB)

    Lee, J.D. (ed.)

    1986-09-01

    This volume contains the following sections: (1) fueling systems; (2) blanket; (3) alternative blanket concepts; (4) halo scraper/direct converter system study and final conceptual design; (5) heat-transport and power-conversion systems; (6) tritium systems; (7) minimars air detritiation system; (8) appropriate radiological safety design criteria; and (9) cost estimate. (MOW)

  14. MINIMARS conceptual design: Final report

    International Nuclear Information System (INIS)

    Lee, J.D.

    1986-09-01

    This volume contains the following sections: (1) fueling systems; (2) blanket; (3) alternative blanket concepts; (4) halo scraper/direct converter system study and final conceptual design; (5) heat-transport and power-conversion systems; (6) tritium systems; (7) minimars air detritiation system; (8) appropriate radiological safety design criteria; and (9) cost estimate

  15. Final storage of radioactive waste

    International Nuclear Information System (INIS)

    Ziehm, Cornelia

    2015-01-01

    As explained in the present article, operators of nuclear power plants are responsible for the safe final disposal of the radioactive wastes they produce on the strength of the polluter pays principle. To shift the burden of responsibility for safe disposal to society as a whole would violate this principle and is therefore not possible. The polluter pays principle follows from more general principles of the fair distribution of benefits and burdens. Instances of its implementation are to be found in the national Atomic Energy Law as well as in the European Radioactive Waste and Spent Fuel Management Directive. The polluters in this case are in particular responsible for financing the installation and operation of final disposal sites. The reserves accumulated so far for the decommissioning and dismantling of nuclear power plants and disposal of radioactive wastes, including the installation and operation of final disposal sites, should be transferred to a public-law fund. This fund should be supplemented by the polluters to cover further foreseeable costs not covered by the reserves accumulated so far, including a realistic cost increase factor, appropriate risk reserves as well as the costs of the site selection procedure and a share in the costs for the safe closure of the final disposal sites of Morsleben and Asse II. This would merely be implementing in the sphere of atomic law that has long been standard practice in other areas of environmental law involving environmental hazards.

  16. Interventions for preoperative smoking cessation

    DEFF Research Database (Denmark)

    Møller, A; Villebro, N

    2005-01-01

    Smokers have a substantially increased risk of intra- and postoperative complications. Preoperative smoking intervention may be effective in decreasing this incidence. The preoperative period may be a well chosen time to offer smoking cessation interventions due to increased patient motivation....

  17. Brief cognitive interventions for burn pain.

    Science.gov (United States)

    Haythronthwaite, J A; Lawrence, J W; Fauerbach, J A

    2001-01-01

    This study tested the efficacy of 2 brief cognitive interventions in supplementing regular medical treatment for pain during burn dressing change. Forty-two burn inpatients were randomly assigned to 3 groups: sensory focusing, music distraction, and usual care. Patients reported pain, pain relief satisfaction with pain control, and pain coping strategies. The sensory focusing group reported greater pain relief compared to the music distraction group and a reduction in remembered pain compared to the usual care group, although group differences were not observed on serial pain ratings. In addition, after controlling for burn size and relevant covariates, regression analyses indicated that catastrophizing predicted pain, memory for pain, and satisfaction with pain control. Refinement of the sensory focusing intervention is warranted to reduce catastrophic thinking and improve pain relief

  18. The Danish Alzheimer intervention study

    DEFF Research Database (Denmark)

    Waldemar, G; Waldorff, F B; Buss, D V

    2011-01-01

    Background: There is a lack of appropriately designed trials investigating the efficacy of psychosocial interventions for patients with mild dementia and their family caregivers. This paper reports the rationale and design of the Danish Alzheimer Disease Intervention Study and baseline characteri......Background: There is a lack of appropriately designed trials investigating the efficacy of psychosocial interventions for patients with mild dementia and their family caregivers. This paper reports the rationale and design of the Danish Alzheimer Disease Intervention Study and baseline...

  19. Predictable earthquakes?

    Science.gov (United States)

    Martini, D.

    2002-12-01

    acceleration) and global number of earthquake for this period from published literature which give us a great picture about the dynamical geophysical phenomena. Methodology: The computing of linear correlation coefficients gives us a chance to quantitatively characterise the relation among the data series, if we suppose a linear dependence in the first step. The correlation coefficients among the Earth's rotational acceleration and Z-orbit acceleration (perpendicular to the ecliptic plane) and the global number of the earthquakes were compared. The results clearly demonstrate the common feature of both the Earth's rotation and Earth's Z-acceleration around the Sun and also between the Earth's rotational acceleration and the earthquake number. This fact might means a strong relation among these phenomena. The mentioned rather strong correlation (r = 0.75) and the 29 year period (Saturn's synodic period) was clearly shown in the counted cross correlation function, which gives the dynamical characteristic of correlation, of Earth's orbital- (Z-direction) and rotational acceleration. This basic period (29 year) was also obvious in the earthquake number data sets with clear common features in time. Conclusion: The Core, which involves the secular variation of the Earth's magnetic field, is the only sufficiently mobile part of the Earth with a sufficient mass to modify the rotation which probably effects on the global time distribution of the earthquakes. Therefore it might means that the secular variation of the earthquakes is inseparable from the changes in Earth's magnetic field, i.e. the interior process of the Earth's core belongs to the dynamical state of the solar system. Therefore if the described idea is real the global distribution of the earthquakes in time is predictable.

  20. Why Do Spatial Abilities Predict Mathematical Performance?

    Science.gov (United States)

    Tosto, Maria Grazia; Hanscombe, Ken B.; Haworth, Claire M. A.; Davis, Oliver S. P.; Petrill, Stephen A.; Dale, Philip S.; Malykh, Sergey; Plomin, Robert; Kovas, Yulia

    2014-01-01

    Spatial ability predicts performance in mathematics and eventual expertise in science, technology and engineering. Spatial skills have also been shown to rely on neuronal networks partially shared with mathematics. Understanding the nature of this association can inform educational practices and intervention for mathematical underperformance.…

  1. Effect of Repeated/Spaced Formative Assessments on Medical School Final Exam Performance

    Directory of Open Access Journals (Sweden)

    Edward K. Chang

    2017-06-01

    Discussion: Performance on weekly formative assessments was predictive of final exam scores. Struggling medical students will benefit from extra cumulative practice exams while students who are excelling do not need extra practice.

  2. The Effectiveness of Early Intervention.

    Science.gov (United States)

    Guralnick, Michael J., Ed.

    This book reviews research on the effectiveness of early intervention for children with disabilities or who are at risk. Program factors for children at risk and with disabilities, the effects of early intervention on different types of disabilities, and the outcomes of early intervention are explored. Chapters include: "Second-Generation Research…

  3. Crisis Intervention: A Model Workshop

    Science.gov (United States)

    Folsom, Clyde H. Jr.

    1978-01-01

    A model workshop for training campus personnel in crisis intervention skills is described. This workshop combined theoretical presentations with interventions in crises simulated by student actors and actresses. The crisis interventions were videotaped and processed. Problems and issues that arose are discussed. (Author)

  4. Meta-analyses on behavioral interventions to reduce the risk of transmission of HIV.

    Science.gov (United States)

    Vergidis, Paschalis I; Falagas, Matthew E

    2009-06-01

    Different behavioral interventions have found to be efficacious in reducing high-risk sexual activity. Interventions have been evaluated in both original research and meta-analytic reviews. Most of the studies have shown that interventions are efficacious among different study populations. In adolescents, both in- and out-of-the classroom interventions showed a decrease in the risk of unprotected sex. In African Americans, greater efficacy was found for interventions including peer education. For Latinos, effect was larger in interventions with segmentation in the same gender. Geographic and social isolation are barriers in approaching MSM. For IDUs, interventions provided within a treatment program have an impact on risk reduction above that produced by drug treatment alone. Finally, people diagnosed with HIV tend to reduce their sexual risk behavior. However, adherence to safe sex practices for life can be challenging. Relentless efforts for implementation of behavioral interventions to decrease high-risk behavior are necessary to decrease HIV transmission.

  5. Early intervention for psychosis

    Science.gov (United States)

    Marshall, Max; Rathbone, John

    2014-01-01

    Background Proponents of early intervention have argued that outcomes might be improved if more therapeutic efforts were focused on the early stages of schizophrenia or on people with prodromal symptoms. Early intervention in schizophrenia has two elements that are distinct from standard care: early detection, and phase-specific treatment (phase-specific treatment is a psychological, social or physical treatment developed, or modified, specifically for use with people at an early stage of the illness). Early detection and phase-specific treatment may both be offered as supplements to standard care, or may be provided through a specialised early intervention team. Early intervention is now well established as a therapeutic approach in America, Europe and Australasia. Objectives To evaluate the effects of: (a) early detection; (b) phase-specific treatments; and (c) specialised early intervention teams in the treatment of people with prodromal symptoms or first-episode psychosis. Search methods We searched the Cochrane Schizophrenia Group Trials Register (March 2009), inspected reference lists of all identified trials and reviews and contacted experts in the field. Selection criteria We included all randomised controlled trials (RCTs) designed to prevent progression to psychosis in people showing prodromal symptoms, or to improve outcome for people with first-episode psychosis. Eligible interventions, alone and in combination, included: early detection, phase-specific treatments, and care from specialised early intervention teams. We accepted cluster-randomised trials but excluded non-randomised trials. Data collection and analysis We reliably selected studies, quality rated them and extracted data. For dichotomous data, we estimated relative risks (RR), with the 95% confidence intervals (CI). Where possible, we calculated the number needed to treat/harm statistic (NNT/H) and used intention-to-treat analysis (ITT). Main results Studies were diverse, mostly small

  6. Early diagnosis and early intervention in cerebral palsy

    Directory of Open Access Journals (Sweden)

    Mijna eHadders-Algra

    2014-09-01

    Full Text Available This paper reviews the opportunities and challenges for early diagnosis and early intervention in cerebral palsy (CP. CP describes a group of disorders of the development of movement and posture, causing activity limitation, that are attributed to disturbances that occurred in the fetal or infant brain. Therefore the paper starts with a summary of relevant information from developmental neuroscience. Most lesions underlying CP occur in the second half of gestation, when developmental activity in the brain reaches its summit. Variations in timing of the damage not only result in different lesions, but also in different neuroplastic reactions and different associated neuropathologies. This turns CP into a heterogeneous entity. This may mean that the best early diagnostics and the best intervention methods may differ for various subgroups of children with CP. Next, the paper addresses possibilities for early diagnosis. It discusses the predictive value of neuromotor and neurological exams, neuro-imaging techniques and neurophysiological assessments. Prediction is best when complementary techniques are used in longitudinal series. Possibilities for early prediction of CP differ for infants admitted to neonatal intensive care and other infants. In the former group best prediction is achieved with the combination of neuro-imaging and the assessment of general movements, in the latter group best prediction is based on carefully documented milestones and neurological assessment. The last part reviews early intervention in infants developing CP. Most knowledge on early intervention is based on studies in high risk infants without CP. In these infants early intervention programs promote cognitive development until preschool age; motor development profits less. The few studies on early intervention in infants developing CP suggest that programs that stimulate all aspects of infant development by means of family coaching are most promising. More research is

  7. Predicting non-familial major physical violent crime perpetration in the US Army from administrative data.

    Science.gov (United States)

    Rosellini, A J; Monahan, J; Street, A E; Heeringa, S G; Hill, E D; Petukhova, M; Reis, B Y; Sampson, N A; Bliese, P; Schoenbaum, M; Stein, M B; Ursano, R J; Kessler, R C

    2016-01-01

    Although interventions exist to reduce violent crime, optimal implementation requires accurate targeting. We report the results of an attempt to develop an actuarial model using machine learning methods to predict future violent crimes among US Army soldiers. A consolidated administrative database for all 975 057 soldiers in the US Army in 2004-2009 was created in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Of these soldiers, 5771 committed a first founded major physical violent crime (murder-manslaughter, kidnapping, aggravated arson, aggravated assault, robbery) over that time period. Temporally prior administrative records measuring socio-demographic, Army career, criminal justice, medical/pharmacy, and contextual variables were used to build an actuarial model for these crimes separately among men and women using machine learning methods (cross-validated stepwise regression, random forests, penalized regressions). The model was then validated in an independent 2011-2013 sample. Key predictors were indicators of disadvantaged social/socioeconomic status, early career stage, prior crime, and mental disorder treatment. Area under the receiver-operating characteristic curve was 0.80-0.82 in 2004-2009 and 0.77 in the 2011-2013 validation sample. Of all administratively recorded crimes, 36.2-33.1% (male-female) were committed by the 5% of soldiers having the highest predicted risk in 2004-2009 and an even higher proportion (50.5%) in the 2011-2013 validation sample. Although these results suggest that the models could be used to target soldiers at high risk of violent crime perpetration for preventive interventions, final implementation decisions would require further validation and weighing of predicted effectiveness against intervention costs and competing risks.

  8. Recommendations for intervention

    International Nuclear Information System (INIS)

    Touzet, R.; Descalzo, A.; Peralta, O.

    2013-01-01

    The objective of this work is set a 'radiological protection criteria' for patients and staff involved for the purpose of the doses involved are as low as reasonably achievable considering the limitations that each technique and its objectives. Establish criteria for injury prevention in the patient's skin for long exposures and intense when complications arise in the process. Set levels for some well Dimensional procedures. Establish procedures for patient dosimetry control and operator personnel. These criteria will be established by the interventional radiology team with participation of specialists in radiation protection, medical physics, dosimetry and X rays equipment specialists

  9. Interventional Cardiology: What's New?

    Science.gov (United States)

    Scansen, Brian A

    2017-09-01

    Interventional cardiology in veterinary medicine continues to expand beyond the standard 3 procedures of patent ductus arteriosus occlusion, balloon pulmonary valvuloplasty, and transvenous pacing. Opportunities for fellowship training; advances in equipment, including high-resolution digital fluoroscopy, real-time 3-dimensional transesophageal echocardiography, fusion imaging, and rotational angiography; ultrasound-guided access and vascular closure devices; and refinement of techniques, including cutting and high-pressure ballooning, intracardiac and intravascular stent implantation, septal defect occlusion, transcatheter valve implantation, and hybrid approaches, are likely to transform the field over the next decade. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Towards Sutatinable Energy Interventions

    DEFF Research Database (Denmark)

    Ejstrup, Henriette

    2016-01-01

    buildings. In the vernacular architecture problems of insulation and thermal radiation have also occurred. Their tectonic is rational, built upon material austerity and high levels of recyclability. Through a case study of a philanthropic project on revitalization of seaweed houses at the island Læsø......, Denmark, this paper investigates if the historic seaweed material and building technique has informed new constructions. Furthermore, it discusses how new interventions can be integrated into the tectonics of an existing building and if the historic knowledge can contribute to the modern concept of energy...

  11. Predictive models of long-term anatomic outcome in age-related macular degeneration treated with as-needed Ranibizumab.

    Science.gov (United States)

    Gonzalez-Buendia, Lucia; Delgado-Tirado, Santiago; Sanabria, M Rosa; Fernandez, Itziar; Coco, Rosa M

    2017-08-18

    To analyze predictors and develop predictive models of anatomic outcome in neovascular age-related macular degeneration (AMD) treated with as-needed ranibizumab after 4 years of follow-up. A multicenter consecutive case series non-interventional study was performed. Clinical, funduscopic and OCT characteristics of 194 treatment-naïve patients with AMD treated with as-needed ranibizumab for at least 2 years and up to 4 years were analyzed at baseline, 3 months and each year until the end of the follow-up. Baseline demographic and angiographic characteristics were also evaluated. R Statistical Software was used for statistical analysis. Main outcome measure was final anatomic status. Factors associated with less probability of preserved macula were diagnosis in 2009, older age, worse vision, presence of atrophy/fibrosis, pigment epithelium detachment, and geographic atrophy/fibrotic scar/neovascular AMD in the fellow eye. Factors associated with higher probability of GA were presence of atrophy and greater number of injections, whereas male sex, worse vision, lesser change in central macular thickness and presence of fibrosis were associated with less probability of GA as final macular status. Predictive model of preserved macula vs. GA/fibrotic scar showed sensibility of 77.78% and specificity of 69.09%. Predictive model of GA vs. fibrotic scar showed sensibility of 68.89% and specificity of 72.22%. We identified predictors of final macular status, and developed two predictive models. Predictive models that we propose are based on easily harvested variables, and, if validated, could be a useful tool for individual patient management and clinical research studies.

  12. Results of a large-scale randomized behavior change intervention on road safety in Kenya.

    Science.gov (United States)

    Habyarimana, James; Jack, William

    2015-08-25

    Road accidents kill 1.3 million people each year, most in the developing world. We test the efficacy of evocative messages, delivered on stickers placed inside Kenyan matatus, or minibuses, in reducing road accidents. We randomize the intervention, which nudges passengers to complain to their drivers directly, across 12,000 vehicles and find that on average it reduces insurance claims rates of matatus by between one-quarter and one-third and is associated with 140 fewer road accidents per year than predicted. Messages promoting collective action are especially effective, and evocative images are an important motivator. Average maximum speeds and average moving speeds are 1-2 km/h lower in vehicles assigned to treatment. We cannot reject the null hypothesis of no placebo effect. We were unable to discern any impact of a complementary radio campaign on insurance claims. Finally, the sticker intervention is inexpensive: we estimate the cost-effectiveness of the most impactful stickers to be between $10 and $45 per disability-adjusted life-year saved.

  13. Skin and plasma carotenoid response to a provided intervention diet high in vegetables and fruit: uptake and depletion kinetics.

    Science.gov (United States)

    Jahns, Lisa; Johnson, LuAnn K; Mayne, Susan T; Cartmel, Brenda; Picklo, Matthew J; Ermakov, Igor V; Gellermann, Werner; Whigham, Leah D

    2014-09-01

    Objective biomarkers are needed to assess adherence to vegetable and fruit intervention trials. Blood carotenoids are considered the best biomarker of vegetable and fruit intake, but collecting blood is invasive and the analyses are relatively expensive for population studies. Resonance Raman spectroscopy (RRS) is an innovative method for assessing carotenoids in skin noninvasively. Our objective was to compare blood carotenoid concentrations with skin carotenoid assessments by RRS during a controlled feeding intervention. Twenty-nine participants consumed low-carotenoid diets (6 wk, phases 1 and 3), a provided diet containing 6-cup equivalents (1046 g/d) of vegetables and fruit (8 wk, phase 2), and usual diet (final 8 wk, phase 4). At baseline, skin and plasma total carotenoid values were correlated (r = 0.61, P Skin and plasma carotenoid values decreased (P 200% at the end of phase 2. Plasma carotenoids returned to baseline concentrations by the middle of phase 3 and skin carotenoid concentrations by the middle of phase 4. Skin carotenoid status predicted plasma values by using a mixed linear model including all time points (r = 0.72, P skin carotenoid status closely follow changes in plasma across a broad range of intakes. At the individual level, skin carotenoids predicted plasma values (r = 0.70, P Skin carotenoid status assessed by resonance Raman spectroscopy is a noninvasive, objective biomarker of changes in vegetable and fruit intake. © 2014 American Society for Nutrition.

  14. Final disposal of radioactive waste

    Directory of Open Access Journals (Sweden)

    Freiesleben H.

    2013-06-01

    Full Text Available In this paper the origin and properties of radioactive waste as well as its classification scheme (low-level waste – LLW, intermediate-level waste – ILW, high-level waste – HLW are presented. The various options for conditioning of waste of different levels of radioactivity are reviewed. The composition, radiotoxicity and reprocessing of spent fuel and their effect on storage and options for final disposal are discussed. The current situation of final waste disposal in a selected number of countries is mentioned. Also, the role of the International Atomic Energy Agency with regard to the development and monitoring of international safety standards for both spent nuclear fuel and radioactive waste management is described.

  15. NONLINEAR DYNAMICAL SYSTEMS - Final report

    Energy Technology Data Exchange (ETDEWEB)

    Philip Holmes

    2005-12-31

    This document is the final report on the work completed on DE-FG02-95ER25238 since the start of the second renewal period: Jan 1, 2001. It supplements the annual reports submitted in 2001 and 2002. In the renewal proposal I envisaged work in three main areas: Analytical and topological tools for studying flows and maps Low dimensional models of fluid flow Models of animal locomotion and I describe the progess made on each project.

  16. Environmentally Friendly Pavements: final report

    OpenAIRE

    Aksnes, Jostein

    2009-01-01

    This final report presents the main results, advice and recommendations from the research and development program Environmentally Friendly Pavements run by the Norwegian Public Roads Administration (NPRA) in the period 2004-2009. The main focus of the project has been to optimise the environmental properties of road surfaces with respect to low road tyre noise and road dust emissions. The project has shown that: The tested environmentally friendly pavements give an initial noise r...

  17. Psychotherapeutic intervention by telephone

    Directory of Open Access Journals (Sweden)

    Erika Mozer

    2008-06-01

    Full Text Available Erika Mozer1,2, Bethany Franklin1,3, Jon Rose11Department of Veterans Affairs, Palo Alto Health Care System, Palo Alto, CA, USA; 2PGSP Stanford PsyD Consortium Palo Alto, CA, USA; 3Pacific Graduate School of Psychology Palo Alto, California, USAAbstract: Psychotherapy conducted over the telephone has received increasing amounts of empirical attention given practical advantages that side-step treatment barriers encountered in traditional office-based care. The utility and efficacy of telephone therapy appears generalizable across diverse clinical populations seeking care in community-based hospital settings. Treatment barriers common to older adults suggest that telephone therapy may be an efficient and effective mental health resource for this population. This paper describes empirical studies of telehealth interventions and case examples with psychotherapy conducted via telephone on the Spinal Cord Injury Unit of the Palo Alto Veterans’ Administration. Telephone therapy as appears to be a viable intervention with the aging population.Keywords: telehealth, rural mental health, psychotherapy, healthcare delivery, telecare

  18. Pilot European Regional Interventions for Smart Childhood Obesity Prevention in Early age

    DEFF Research Database (Denmark)

    Sansolios, Sanne; Storm Slumstrup, Camilla

    2010-01-01

    The intervention carried out in Denmark included a foodintervention in four kindergartens over at four weeks baseline period and a two weeks intervention period, also a tasteworkshop were carried out introducing a new boardgame using the Sapere method and finally a foodtale book and an activity f...

  19. Pilot European Regional Interventions for Smart Childhood Obesity Prevention in Early age

    DEFF Research Database (Denmark)

    Sansolios, Sanne; Mikkelsen, Bent Egberg

    2010-01-01

    The intervention carried out in Denmark included a foodintervention in four kindergartens over at four weeks baseline period and a two weeks intervention period, also a tasteworkshop were carried out introducing a new boardgame using the Sapere method and finally a foodtale book and an activity...

  20. Conducting Organizational-level occupational health interventions: What works?

    DEFF Research Database (Denmark)

    Nielsen, Karina; Randall, Raymond; Holten, Ann-Louise

    2010-01-01

    In recent years, there has been an increasing interest in how organizational-level occupational health interventions aimed at improving psychosocial working conditions and employee health and well-being may be planned, implemented and evaluated. It has been claimed that such interventions have...... the alteration of the way in which work is designed, organized and managed. The methods identified are the Risk Management approach and the Management Standards from Great Britain, the German Health Circles approach, Work Positive from Ireland and Prevenlab from Spain. Comparative analyses reveal...... their appropriateness in conducting organizationallevel occupational health interventions. Finally, we discuss where we still need more research to determine the working ingredients of organizational-level occupational health interventions....

  1. Structure strategy interventions: Increasing reading comprehension of expository text

    Directory of Open Access Journals (Sweden)

    Bonnie J. F. Meyer

    2011-07-01

    Full Text Available In this review of the literature we examine empirical studies designed to teach the structure strategy to increase reading comprehension of expository texts. First, we review the research that has served as a foundation for many of the studies examining the effects of text structure instruction. Text structures generally can be grouped into six categories: comparison, problem-and-solution, causation, sequence, collection, and description. Next, we provide a historical look at research of structure strategy interventions. Strategy interventions employ modeling, practice, and feedback to teach students how to use text structure strategically and eventually automatically. Finally, we review recent text structure interventions for elementary school students. We present similarities and differences among these studies and applications for instruction. Our review of intervention research suggests that direct instruction, modeling, scaffolding, elaborated feedback, and adaptation of instruction to student performance are keys in teaching students to strategically use knowledge about text structure.

  2. Factors Associated with Length of Stay at Home in the Final Month of Life among Advanced Cancer Patients: A Retrospective Chart Review.

    Science.gov (United States)

    Otsuka, Masatomo

    2017-08-01

    Living at home is an important factor for maintaining high quality of life among patients. Many studies have discussed parameters associated with place of death, but no studies have yet clarified which factors influence the length of stay at home during the end of life. The aim of this study was to identify factors influencing the amount of time spent at home during the final month of life among patients with advanced cancer. A retrospective chart review was conducted for 415 patients with advanced cancer. Multivariate multiple linear regression analysis was used to examine relationships between the length of stay at home during the final month of life and variables measuring patient's background (four indicators), family structure (three indicators) cancer type (four types), chief complaint at initial palliative care referral (seven indicators), and medical interventions (three factors). The multiple linear regression predicting time spent at home in the last month of life yielded partial regression coefficients of 4.2 for past outpatient palliative care services (OPCS) (p life was a history of OPCS. Many patients with advanced cancer who receive chemotherapy without OPCS spend time as inpatients after an initial period at home. Palliative care interventions for outpatients effectively enable patients with advanced cancer to adapt and continue living at home.

  3. Psychosocial interventions for cannabis use disorder

    Science.gov (United States)

    Gates, Peter J; Sabioni, Pamela; Copeland, Jan; Le Foll, Bernard; Gowing, Linda

    2016-01-01

    nature of the interventions provided, participant blinding was not possible, and reports of researcher blinding often were unclear or were not provided. Half of the reviewed studies included collateral verification or urinalysis to confirm self report data, leading to concern about performance and detection bias. Finally, concerns of other bias were based on relatively consistent lack of assessment of non-cannabis substance use or use of additional treatments before or during the trial period. A subset of studies provided sufficient detail for comparison of effects of any intervention versus inactive control on primary outcomes of interest at early follow-up (median, four months). Results showed moderate-quality evidence that approximately seven out of 10 intervention participants completed treatment as intended (effect size (ES) 0.71, 95% confidence interval (CI) 0.63 to 0.78, 11 studies, 1424 participants), and that those receiving psychosocial intervention used cannabis on fewer days compared with those given inactive control (mean difference (MD) 5.67, 95% CI 3.08 to 8.26, six studies, 1144 participants). In addition, low-quality evidence revealed that those receiving intervention were more likely to report point-prevalence abstinence (risk ratio (RR) 2.55, 95% CI 1.34 to 4.83, six studies, 1166 participants) and reported fewer symptoms of dependence (standardised mean difference (SMD) 4.15, 95% CI 1.67 to 6.63, four studies, 889 participants) and cannabis-related problems compared with those given inactive control (SMD 3.34, 95% CI 1.26 to 5.42, six studies, 2202 participants). Finally, very low-quality evidence indicated that those receiving intervention reported using fewer joints per day compared with those given inactive control (SMD 3.55, 95% CI 2.51 to 4.59, eight studies, 1600 participants). Notably, subgroup analyses found that interventions of more than four sessions delivered over longer than one month (high intensity) produced consistently improved

  4. Psychosocial interventions for cannabis use disorder.

    Science.gov (United States)

    Gates, Peter J; Sabioni, Pamela; Copeland, Jan; Le Foll, Bernard; Gowing, Linda

    2016-05-05

    researcher blinding often were unclear or were not provided. Half of the reviewed studies included collateral verification or urinalysis to confirm self report data, leading to concern about performance and detection bias. Finally, concerns of other bias were based on relatively consistent lack of assessment of non-cannabis substance use or use of additional treatments before or during the trial period.A subset of studies provided sufficient detail for comparison of effects of any intervention versus inactive control on primary outcomes of interest at early follow-up (median, four months). Results showed moderate-quality evidence that approximately seven out of 10 intervention participants completed treatment as intended (effect size (ES) 0.71, 95% confidence interval (CI) 0.63 to 0.78, 11 studies, 1424 participants), and that those receiving psychosocial intervention used cannabis on fewer days compared with those given inactive control (mean difference (MD) 5.67, 95% CI 3.08 to 8.26, six studies, 1144 participants). In addition, low-quality evidence revealed that those receiving intervention were more likely to report point-prevalence abstinence (risk ratio (RR) 2.55, 95% CI 1.34 to 4.83, six studies, 1166 participants) and reported fewer symptoms of dependence (standardised mean difference (SMD) 4.15, 95% CI 1.67 to 6.63, four studies, 889 participants) and cannabis-related problems compared with those given inactive control (SMD 3.34, 95% CI 1.26 to 5.42, six studies, 2202 participants). Finally, very low-quality evidence indicated that those receiving intervention reported using fewer joints per day compared with those given inactive control (SMD 3.55, 95% CI 2.51 to 4.59, eight studies, 1600 participants). Notably, subgroup analyses found that interventions of more than four sessions delivered over longer than one month (high intensity) produced consistently improved outcomes (particularly in terms of cannabis use frequency and severity of dependence) in the short term

  5. Exterior insulating shutter final prototype design. Final report, Phase II

    Energy Technology Data Exchange (ETDEWEB)

    Dike, G.A.; Kinney, L.F.

    1982-12-01

    The final prototype shutter described uses sliding panels composed of inch-thick thermax sandwiched between 60 mil thick ultraviolet-resistant plastic on the outside, and 20 mil stryrene on the inside. The shuter system was shown to have an effective R-value of 6 using ASHRAE procedures to convert from still air conditions to 15 mph wind conditions in a simulated cold environment. Tests were performed for cyclical operation, vulnerability to ice and wind, thermal performance, and air infiltration. Marketing efforts are described. Cost effectiveness is determined via present value analysis. (LEW)

  6. Advanced medical interventions in pleural disease

    Directory of Open Access Journals (Sweden)

    Rahul Bhatnagar

    2016-06-01

    Full Text Available The burden of a number of pleural diseases continues to increase internationally. Although many pleural procedures have historically been the domain of interventional radiologists or thoracic surgeons, in recent years, there has been a marked expansion in the techniques available to the pulmonologist. This has been due in part to both technological advancements and a greater recognition that pleural disease is an important subspecialty of respiratory medicine. This article summarises the important literature relating to a number of advanced pleural interventions, including medical thoracoscopy, the insertion and use of indwelling pleural catheters, pleural manometry, point-of-care thoracic ultrasound, and image-guided closed pleural biopsy. We also aim to inform the reader regarding the latest updates to more established procedures such as chemical pleurodesis, thoracentesis and the management of chest drains, drawing on contemporary data from recent randomised trials. Finally, we shall look to explore the challenges faced by those practicing pleural medicine, especially relating to training, as well as possible future directions for the use and expansion of advanced medical interventions in pleural disease.

  7. General predictive control using the delta operator

    DEFF Research Database (Denmark)

    Jensen, Morten Rostgaard; Poulsen, Niels Kjølstad; Ravn, Ole

    1993-01-01

    This paper deals with two-discrete-time operators, the conventional forward shift-operator and the δ-operator. Both operators are treated in view of construction of suitable solutions to the Diophantine equation for the purpose of prediction. A general step-recursive scheme is presented. Finally...... a general predictive control (GPC) is formulated and applied adaptively to a continuous-time plant...

  8. Contralateral symptoms after unilateral intervention for peripheral occlusive disease

    NARCIS (Netherlands)

    de Vries, S.O.; Donaldson, M.C.; Hunink, M.G.

    Objective: The objectives of this study were (1) to determine the incidence of contralateral symptoms in patients with a unilateral intervention for peripheral arterial occlusive disease and (2) to identify characteristics that predict these symptoms. Subjects and Setting: We included patients who

  9. Pressure sores in spinal cord injury: Active intervention saves costs ...

    African Journals Online (AJOL)

    Summary. Pressure sores are a predictable consequence of poorly managed spinal cord-injured patients. Not only do pressure sores contribute to the morbidity, but also add significantly to the medical/nursing management, cost and admission stay, limiting optimal bed utilisation. This intervention study assesses the impact ...

  10. Crisis Intervention in Early Adolescence. First Annual Report.

    Science.gov (United States)

    Adolescence Resources Center, Sumter, SC.

    The basic premise under investigation is that systematic intervention in a predictable, natural occurring stress situation for population groups: (1) can promote acquisition of competence and coping skills; and (2) minimize pathological response to stress and eventual need for treatment. This study is an exploration of preadolescent development of…

  11. Spatiotemporal Bayesian networks for malaria prediction.

    Science.gov (United States)

    Haddawy, Peter; Hasan, A H M Imrul; Kasantikul, Rangwan; Lawpoolsri, Saranath; Sa-Angchai, Patiwat; Kaewkungwal, Jaranit; Singhasivanon, Pratap

    2018-01-01

    Targeted intervention and resource allocation are essential for effective malaria control, particularly in remote areas, with predictive models providing important information for decision making. While a diversity of modeling technique have been used to create predictive models of malaria, no work has made use of Bayesian networks. Bayes nets are attractive due to their ability to represent uncertainty, model time lagged and nonlinear relations, and provide explanations. This paper explores the use of Bayesian networks to model malaria, demonstrating the approach by creating village level models with weekly temporal resolution for Tha Song Yang district in northern Thailand. The networks are learned using data on cases and environmental covariates. Three types of networks are explored: networks for numeric prediction, networks for outbreak prediction, and networks that incorporate spatial autocorrelation. Evaluation of the numeric prediction network shows that the Bayes net has prediction accuracy in terms of mean absolute error of about 1.4 cases for 1 week prediction and 1.7 cases for 6 week prediction. The network for outbreak prediction has an ROC AUC above 0.9 for all prediction horizons. Comparison of prediction accuracy of both Bayes nets against several traditional modeling approaches shows the Bayes nets to outperform the other models for longer time horizon prediction of high incidence transmission. To model spread of malaria over space, we elaborate the models with links between the village networks. This results in some very large models which would be far too laborious to build by hand. So we represent the models as collections of probability logic rules and automatically generate the networks. Evaluation of the models shows that the autocorrelation links significantly improve prediction accuracy for some villages in regions of high incidence. We conclude that spatiotemporal Bayesian networks are a highly promising modeling alternative for prediction

  12. Numerical simulation of industrial superplastic forming. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Haberman, K.S.; Bennett, J.G.; Piltch, M.S.

    1996-11-01

    Superplastic forming (SPF) is a metal forming process that allows a variety of components with very complex geometries to be produced at a fraction of the cost of conventional machining. The industrial superplastic forming process can be optimized with the application of the finite element method to predict the optimal pressure schedules, overall forming time, and the final thickness distribution. This paper discusses the verification and applications of NIKE3D in 4 optimizing the industrial superplastic forming process.

  13. Positive psychology interventions in breast cancer. A systematic review.

    Science.gov (United States)

    Casellas-Grau, Anna; Font, Antoni; Vives, Jaume

    2014-01-01

    Positive psychology is an emerging area of empirical study, not only in clinical, but also in health psychology. The present systematic review aims to synthesize the evidence about the positive psychology interventions utilized in breast cancer. Relevant studies were identified via Pubmed, PsycINFO, Web of Science, Scopus, Cochrane, CINAHL, Wiley Online Library, TDX, and DIALNET databases (up to April 2013). Only those papers focused on interventions related to positive psychology and carried out on breast cancer patients were included. Of the 7266 articles found through databases, 16 studies were finally included in this review. Five groups of therapies were found: mindfulness-based approaches, expression of positive emotions, spiritual interventions, hope therapy, and meaning-making interventions. These specific interventions promoted positive changes in breast cancer participants, such as enhanced quality of life, well-being, hope, benefit finding, or optimism. However, the disparity of the interventions and some methodological issues limit the outcomes. Some studies provided relevant evidence about the clear development of positive aspects from the breast cancer experience. Positive interventions applied to patients and survivors of breast cancer were found to be able to promote positive aspects. A global consensus of a positive therapies classification is needed to take one more step in structuring positive psychology. Copyright © 2013 John Wiley & Sons, Ltd.

  14. Interventional MR: interstitial therapy

    Energy Technology Data Exchange (ETDEWEB)

    Vogl, T.J.; Mack, M.G.; Straub, R.; Engelmann, K.; Eichler, K. [Dept. of Diagnostic and Interventional Radiology, Johann Wolfgang Goethe University, Frankfurt am Main (Germany); Mueller, P.K. [Department of Radiology, Virchow, Humboldt Univ. of Berlin (Germany)

    1999-10-01

    The rationale and results for interstitial therapies via interventional MRI in the treatment of tumors in various regions are presented. Different interstitial treatment techniques are presented based on varying technologies both for tumor ablation and treatment monitoring. Data are presented based on 335 patients, 29-84 years of age (mean age 59 years, 196 men and 139 women) with a total of 932 liver tumors, 16 head and neck tumors and 14 abdominal recurrent pelvic and lymphatic tumors. All lesions had been treated with MR-guided laser-induced interstitial thermotherapy (LITT) via 2516 laser applications and 1856 cannulations. Data in the literature are extremely varying depending on author experience, treatment technique, and the included patient material. In our patient material we were able to achieve a local tumor control of 96.7 % depending on the size of the tumorous lesion, the topographical relationship, and the applied laser parameters. The overall cumulative survival rate of patients with liver metastases was 45.74 months (median 40.97 months, 95 % confidence interval 31.42-50.52). The cumulative survival rate of the patient group with hepatic metastases of colorectal carcinoma was 42.71 months (median 39.33 months, 95 % confidence interval 33.26-45.37). In patients with head and neck tumors a relevant reduction in clinically relevant symptoms such as pain, swallowing disorders, or nervous compression was achieved in 11 of 15 patients treated with LITT. In 14 soft tissue tumors, such as pelvic tumor recurrence and lymph node metastases, a local tumor control was obtained in 68 % of lesions. Interstitial therapies under interventional MRI guidance, such as LITT, results in a high local tumor control with an improved survival rate. (orig.) With 7 figs., 28 refs.

  15. Healthcare professionals and managers' participation in developing an intervention: A pre-intervention study in the elderly care context

    Directory of Open Access Journals (Sweden)

    Bergman Howard

    2009-04-01

    insight of healthcare professionalnd managers and emphasizes the need to intervene at different levels. Further research will be needed in order to develop a more thorough understanding of the impacts of such strategies on the final outcomes of intervention implementations.

  16. Early elementary school-aged child attachment to parents: a test of theory and implications for intervention.

    Science.gov (United States)

    Oxford, M L; Harachi, T W; Catalano, R F; Haggerty, K P; Abbott, R D

    2000-06-01

    Child attachment to parents has been shown in the literature to reduce the likelihood of problem behaviors through enhancing resiliency. Research examining attachment and its relationship to antisocial behavioral outcomes in adolescents has been shaped largely by social control theorists who have theorized that attachment to prosocial others inhibits the expression of antisocial behavioral outcomes (Hirschi, 1969). This paper seeks to expand the literature by investigating the development of child attachment to parent(s) during the early elementary school years as specified theoretically by the social development model (Catalano & Hawkins, 1996). Using structural equation modeling, the results support the theoretical model as proposed by the social development model. School-aged children's attachment to parents can be successfully predicted by constructs outlined in the social development model. Finally, implications for interventions that enhance child attachment to parent(s) are discussed.

  17. A Deep Learning Prediction Model Based on Extreme-Point Symmetric Mode Decomposition and Cluster Analysis

    Directory of Open Access Journals (Sweden)

    Guohui Li

    2017-01-01

    Full Text Available Aiming at the irregularity of nonlinear signal and its predicting difficulty, a deep learning prediction model based on extreme-point symmetric mode decomposition (ESMD and clustering analysis is proposed. Firstly, the original data is decomposed by ESMD to obtain the finite number of intrinsic mode functions (IMFs and residuals. Secondly, the fuzzy c-means is used to cluster the decomposed components, and then the deep belief network (DBN is used to predict it. Finally, the reconstructed IMFs and residuals are the final prediction results. Six kinds of prediction models are compared, which are DBN prediction model, EMD-DBN prediction model, EEMD-DBN prediction model, CEEMD-DBN prediction model, ESMD-DBN prediction model, and the proposed model in this paper. The same sunspots time series are predicted with six kinds of prediction models. The experimental results show that the proposed model has better prediction accuracy and smaller error.

  18. Vet Centers. Interim final rule.

    Science.gov (United States)

    2015-08-04

    The Department of Veterans Affairs (VA) is amending its medical regulation that governs Vet Center services. The National Defense Authorization Act for Fiscal Year 2013 (the 2013 Act) requires Vet Centers to provide readjustment counseling services to broader groups of veterans, members of the Armed Forces, including a member of a reserve component of the Armed Forces, and family members of such veterans and members. This interim final rule amends regulatory criteria to conform to the 2013 Act, to include new and revised definitions.

  19. [Experimental nuclear physics]. Final report

    International Nuclear Information System (INIS)

    1991-04-01

    This is the final report of the Nuclear Physics Laboratory of the University of Washington on work supported in part by US Department of Energy contract DE-AC06-81ER40048. It contains chapters on giant dipole resonances in excited nuclei, nucleus-nucleus reactions, astrophysics, polarization in nuclear reactions, fundamental symmetries and interactions, accelerator mass spectrometry (AMS), ultra-relativistic heavy ions, medium energy reactions, work by external users, instrumentation, accelerators and ion sources, and computer systems. An appendix lists Laboratory personnel, a Ph. D. degree granted in the 1990-1991 academic year, and publications. Refs., 41 figs., 7 tabs

  20. [Experimental nuclear physics]. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1991-04-01

    This is the final report of the Nuclear Physics Laboratory of the University of Washington on work supported in part by US Department of Energy contract DE-AC06-81ER40048. It contains chapters on giant dipole resonances in excited nuclei, nucleus-nucleus reactions, astrophysics, polarization in nuclear reactions, fundamental symmetries and interactions, accelerator mass spectrometry (AMS), ultra-relativistic heavy ions, medium energy reactions, work by external users, instrumentation, accelerators and ion sources, and computer systems. An appendix lists Laboratory personnel, a Ph. D. degree granted in the 1990-1991 academic year, and publications. Refs., 41 figs., 7 tabs.

  1. Virtualized Network Control. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Ghani, Nasir [Univ. of New Mexico, Albuquerque, NM (United States)

    2013-02-01

    This document is the final report for the Virtualized Network Control (VNC) project, which was funded by the United States Department of Energy (DOE) Office of Science. This project was also informally referred to as Advanced Resource Computation for Hybrid Service and TOpology NEtworks (ARCHSTONE). This report provides a summary of the project's activities, tasks, deliverable, and accomplishments. It also provides a summary of the documents, software, and presentations generated as part of this projects activities. Namely, the Appendix contains an archive of the deliverables, documents, and presentations generated a part of this project.

  2. New Approaches to Final Cooling

    Energy Technology Data Exchange (ETDEWEB)

    Neuffer, David [Fermilab

    2014-11-10

    A high-energy muon collider scenario require a “final cooling” system that reduces transverse emittances by a factor of ~10 while allowing longitudinal emittance increase. The baseline approach has low-energy transverse cooling within high-field solenoids, with strong longitudinal heating. This approach and its recent simulation are discussed. Alternative approaches which more explicitly include emittance exchange are also presented. Round-to-flat beam transform, transverse slicing, and longitudinal bunch coalescence are possible components of the alternative approach. A more explicit understanding of solenoidal cooling beam dynamics is introduced.

  3. Applicability of the theory of planned behavior in predicting intended ...

    African Journals Online (AJOL)

    Background: The predictive validity and applicability of Theory of Planned Behavior (TPB) may be a promising model for understanding and predicting intended behaviors to use VCT services. The need for theory based study would thus be essential in designing evidence based HIV-related interventions in the future.

  4. How health leaders can benefit from predictive analytics.

    Science.gov (United States)

    Giga, Aliyah

    2017-11-01

    Predictive analytics can support a better integrated health system providing continuous, coordinated, and comprehensive person-centred care to those who could benefit most. In addition to dollars saved, using a predictive model in healthcare can generate opportunities for meaningful improvements in efficiency, productivity, costs, and better population health with targeted interventions toward patients at risk.

  5. Academic procrastination and academic performance: An initial basis for intervention.

    Science.gov (United States)

    Goroshit, Marina

    2018-01-01

    Academic procrastination is a prevalent phenomenon with a range of negative outcomes. Many studies focused on causes and correlates of academic procrastination; however, the study of interventions for academic procrastination is scarce. The present study is an initial effort to study the relationship between academic procrastination, online course participation, and achievement, as a basis for developing an intervention for academic procrastination. Findings indicated that studying procrastination was negatively associated with final exam grade as well as with the three online course participation measures. Final exam grade was positively associated with two of the online course participation measures, and they positively correlated with each other. In addition, results indicated that studying procrastination, in combination with online course participation measures, explained about 50% of variance in final exam's grade. Frequency of activities in course Web site had the strongest positive effect on final exam's grade. These findings strengthen the notion that studying procrastination is an impediment to students' academic performance and outcomes and clarifies the need to develop and study academic interventions for academic procrastination as a means to decrease its prevalence in academic settings.

  6. Anesthesia Practices for Interventional Radiology in Europe

    Energy Technology Data Exchange (ETDEWEB)

    Vari, Alessandra, E-mail: alessandra.vari@uniroma1.it [University La Sapienza, Department of Anesthesiology, Intensive Care and Pain Medicine (Italy); Gangi, Afshin, E-mail: gangi@unistra.fr [Les Hôpitaux Universitaires de Strasbourg, Chef de Pôle, Imagerie (France)

    2017-06-15

    PurposeThe Cardiovascular and Interventional Radiological Society of Europe (CIRSE) prompted an initiative to frame the current European status of anesthetic practices for interventional radiology, in consideration of the current variability of IR suite settings, staffing and anesthetic practices reported in the literature and of the growing debate on sedation administered by non-anesthesiologists, in Europe.MethodsAnonymous online survey available to all European CIRSE members to assess IR setting, demographics, peri-procedural care, anesthetic management, resources and staffing, pain management, data collection, safety, management of emergencies and personal opinions on the role CIRSE should have in promoting anesthetic care for interventional radiology.ResultsPredictable differences between countries and national regulations were confirmed, showing how significantly many “local” factors (type and size of centers, the availability of dedicated inpatient bed, availability of anesthesia staff) can affect the routine practice and the expansion of IR as a subspecialty. In addition, the perception of the need for IR to acquire more sedation-related skills is definitely stronger for those who practice with the lowest availability of anesthesia care.ConclusionSignificant country variations and regulations along with a controversial position of the anesthesia community on the issue of sedation administered by non-anesthesiologists substantially represent the biggest drawbacks for the expansion of peri-procedural anesthetic care for IR and for potential initiatives at an European level.

  7. Anesthesia Practices for Interventional Radiology in Europe

    International Nuclear Information System (INIS)

    Vari, Alessandra; Gangi, Afshin

    2017-01-01

    PurposeThe Cardiovascular and Interventional Radiological Society of Europe (CIRSE) prompted an initiative to frame the current European status of anesthetic practices for interventional radiology, in consideration of the current variability of IR suite settings, staffing and anesthetic practices reported in the literature and of the growing debate on sedation administered by non-anesthesiologists, in Europe.MethodsAnonymous online survey available to all European CIRSE members to assess IR setting, demographics, peri-procedural care, anesthetic management, resources and staffing, pain management, data collection, safety, management of emergencies and personal opinions on the role CIRSE should have in promoting anesthetic care for interventional radiology.ResultsPredictable differences between countries and national regulations were confirmed, showing how significantly many “local” factors (type and size of centers, the availability of dedicated inpatient bed, availability of anesthesia staff) can affect the routine practice and the expansion of IR as a subspecialty. In addition, the perception of the need for IR to acquire more sedation-related skills is definitely stronger for those who practice with the lowest availability of anesthesia care.ConclusionSignificant country variations and regulations along with a controversial position of the anesthesia community on the issue of sedation administered by non-anesthesiologists substantially represent the biggest drawbacks for the expansion of peri-procedural anesthetic care for IR and for potential initiatives at an European level.

  8. Making detailed predictions makes (some) predictions worse

    Science.gov (United States)

    Kelly, Theresa F.

    In this paper, we investigate whether making detailed predictions about an event makes other predictions worse. Across 19 experiments, 10,895 participants, and 415,960 predictions about 724 professional sports games, we find that people who made detailed predictions about sporting events (e.g., how many hits each baseball team would get) made worse predictions about more general outcomes (e.g., which team would win). We rule out that this effect is caused by inattention or fatigue, thinking too hard, or a differential reliance on holistic information about the teams. Instead, we find that thinking about game-relevant details before predicting winning teams causes people to give less weight to predictive information, presumably because predicting details makes information that is relatively useless for predicting the winning team more readily accessible in memory and therefore incorporated into forecasts. Furthermore, we show that this differential use of information can be used to predict what kinds of games will and will not be susceptible to the negative effect of making detailed predictions.

  9. Genetic Variation in the Dopamine System Influences Intervention Outcome in Children with Cerebral Palsy

    Directory of Open Access Journals (Sweden)

    Rochellys Diaz Heijtz

    2018-02-01

    Interpretation: Naturally occurring genetic variation in the dopamine system can influence treatment outcomes in children with cerebral palsy. A polygenic dopamine score might be valid for treatment outcome prediction and for designing individually tailored interventions for children with cerebral palsy.

  10. Intervention in gene regulatory networks via greedy control policies based on long-run behavior

    Directory of Open Access Journals (Sweden)

    Ghaffari Noushin

    2009-06-01

    Full Text Available Abstract Background A salient purpose for studying gene regulatory networks is to derive intervention strategies, the goals being to identify potential drug targets and design gene-based therapeutic intervention. Optimal stochastic control based on the transition probability matrix of the underlying Markov chain has been studied extensively for probabilistic Boolean networks. Optimization is based on minimization of a cost function and a key goal of control is to reduce the steady-state probability mass of undesirable network states. Owing to computational complexity, it is difficult to apply optimal control for large networks. Results In this paper, we propose three new greedy stationary control policies by directly investigating the effects on the network long-run behavior. Similar to the recently proposed mean-first-passage-time (MFPT control policy, these policies do not depend on minimization of a cost function and avoid the computational burden of dynamic programming. They can be used to design stationary control policies that avoid the need for a user-defined cost function because they are based directly on long-run network behavior; they can be used as an alternative to dynamic programming algorithms when the latter are computationally prohibitive; and they can be used to predict the best control gene with reduced computational complexity, even when one is employing dynamic programming to derive the final control policy. We compare the performance of these three greedy control policies and the MFPT policy using randomly generated probabilistic Boolean networks and give a preliminary example for intervening in a mammalian cell cycle network. Conclusion The newly proposed control policies have better performance in general than the MFPT policy and, as indicated by the results on the mammalian cell cycle network, they can potentially serve as future gene therapeutic intervention strategies.

  11. Space tug applications. Final report

    International Nuclear Information System (INIS)

    1996-01-01

    This article is the final report of the conceptual design efforts for a 'space tug'. It includes preliminary efforts, mission analysis, configuration analysis, impact analysis, and conclusions. Of the several concepts evaluated, the nuclear bimodal tug was one of the top candidates, with the two options being the NEBA-1 and NEBA-3 systems. Several potential tug benefits were identified during the mission analysis. The tug enables delivery of large (>3,500 kg) payloads to the outer planets and it increases the GSO delivery capability by 20% relative to current systems. By providing end of life disposal, the tug can be used to extend the life of existing space assets. It can also be used to reboost satellites which were not delivered to their final orbit by the launch system. A specific mission model is the key to validating the tug concept. Once a mission model can be established, mission analysis can be used to determine more precise propellant quantities and burn times. In addition, the specific payloads can be evaluated for mass and volume capability with the launch systems. Results of the economic analysis will be dependent on the total years of operations and the number of missions in the mission model. The mission applications evaluated during this phase drove the need for large propellant quantities and thus did not allow the payloads to step down to smaller and less expensive launch systems

  12. Bio-Energy during Finals: Stress Reduction for a University Community.

    Science.gov (United States)

    Running, Alice; Hildreth, Laura

    2016-01-01

    To re-examine the effectiveness of a bio-energy intervention on self-reported stress for a convenience sample of university students during dead week, a quasi-experimental, single-group pretest-posttest design was used. Thirty-three students participated, serving as their own controls. After participants had consented, a 15-min Healing Touch intervention followed enrollment. Self-reported stress was significantly reduced after the bio-energy (Healing Touch) intervention. Bio-energy therapy has shown to be beneficial in reducing stress for students during dead week, the week before final examinations. Further research is needed.

  13. Designing equitable workplace dietary interventions: perceptions of intervention deliverers.

    Science.gov (United States)

    Smith, Sarah A; Visram, Shelina; O'Malley, Claire; Summerbell, Carolyn; Araujo-Soares, Vera; Hillier-Brown, Frances; Lake, Amelia A

    2017-10-16

    Workplaces are a good setting for interventions that aim to support workers in achieving a healthier diet and body weight. However, little is known about the factors that impact on the feasibility and implementation of these interventions, and how these might vary by type of workplace and type of worker. The aim of this study was to explore the views of those involved in commissioning and delivering the Better Health at Work Award, an established and evidence-based workplace health improvement programme. One-to-one semi-structured interviews were conducted with 11 individuals in North East England who had some level of responsibility for delivering workplace dietary interventions. Interviews were transcribed verbatim and analysed using thematic framework analysis. A number of factors were felt to promote the feasibility and implementation of interventions. These included interventions that were cost-neutral (to employee and employer), unstructured, involved colleagues for support, took place at lunchtimes, and were well-advertised and communicated via a variety of media. Offering incentives, not necessarily monetary, was perceived to increase recruitment rates. Factors that militate against feasibility and implementation of interventions included worksites that were large in size and remote, working patterns including shifts and working outside of normal working hours that were not conducive to workers being able to access intervention sessions, workplaces without appropriate provision for healthy food on site, and a lack of support from management. Intervention deliverers perceived that workplace dietary interventions should be equally and easily accessible (in terms of cost and timing of sessions) for all staff, regardless of their job role. Additional effort should be taken to ensure those staff working outside normal working hours, and those working off-site, can easily engage with any intervention, to avoid the risk of intervention-generated inequalities (IGIs).

  14. Characterize and Model Final Waste Formulations and Offgas Solids from Thermal Treatment Processes - FY-98 Final Report for LDRD 2349

    Energy Technology Data Exchange (ETDEWEB)

    Kessinger, Glen Frank; Nelson, Lee Orville; Grandy, Jon Drue; Zuck, Larry Douglas; Kong, Peter Chuen Sun; Anderson, Gail

    1999-08-01

    The purpose of LDRD #2349, Characterize and Model Final Waste Formulations and Offgas Solids from Thermal Treatment Processes, was to develop a set of tools that would allow the user to, based on the chemical composition of a waste stream to be immobilized, predict the durability (leach behavior) of the final waste form and the phase assemblages present in the final waste form. The objectives of the project were: • investigation, testing and selection of thermochemical code • development of auxiliary thermochemical database • synthesis of materials for leach testing • collection of leach data • using leach data for leach model development • thermochemical modeling The progress toward completion of these objectives and a discussion of work that needs to be completed to arrive at a logical finishing point for this project will be presented.

  15. Lossless compression of hyperspectral images using hybrid context prediction.

    Science.gov (United States)

    Liang, Yuan; Li, Jianping; Guo, Ke

    2012-03-26

    In this letter a new algorithm for lossless compression of hyperspectral images using hybrid context prediction is proposed. Lossless compression algorithms are typically divided into two stages, a decorrelation stage and a coding stage. The decorrelation stage supports both intraband and interband predictions. The intraband (spatial) prediction uses the median prediction model, since the median predictor is fast and efficient. The interband prediction uses hybrid context prediction. The hybrid context prediction is the combination of a linear prediction (LP) and a context prediction. Finally, the residual image of hybrid context prediction is coded by the arithmetic coding. We compare the proposed lossless compression algorithm with some of the existing algorithms for hyperspectral images such as 3D-CALIC, M-CALIC, LUT, LAIS-LUT, LUT-NN, DPCM (C-DPCM), JPEG-LS. The performance of the proposed lossless compression algorithm is evaluated. Simulation results show that our algorithm achieves high compression ratios with low complexity and computational cost.

  16. Link prediction in complex networks: A survey

    Science.gov (United States)

    Lü, Linyuan; Zhou, Tao

    2011-03-01

    Link prediction in complex networks has attracted increasing attention from both physical and computer science communities. The algorithms can be used to extract missing information, identify spurious interactions, evaluate network evolving mechanisms, and so on. This article summaries recent progress about link prediction algorithms, emphasizing on the contributions from physical perspectives and approaches, such as the random-walk-based methods and the maximum likelihood methods. We also introduce three typical applications: reconstruction of networks, evaluation of network evolving mechanism and classification of partially labeled networks. Finally, we introduce some applications and outline future challenges of link prediction algorithms.

  17. Predictive Navigation by Understanding Human Motion Patterns

    Directory of Open Access Journals (Sweden)

    Shu-Yun Chung

    2011-03-01

    Full Text Available To make robots coexist and share the environments with humans, robots should understand the behaviors or the intentions of humans and further predict their motions. In this paper, an A*-based predictive motion planner is represented for navigation tasks. A generalized pedestrian motion model is proposed and trained by the statistical learning method. To deal with the uncertainty, a localization, tracking and prediction framework is also introduced. The corresponding recursive Bayesian formula represented as DBNs (Dynamic Bayesian Networks is derived for real time operation. Finally, the simulations and experiments are shown to validate the idea of this paper.

  18. Optimizing well intervention routes

    Energy Technology Data Exchange (ETDEWEB)

    Paiva, Ronaldo O. [PETROBRAS S.A., Vitoria, ES (Brazil); Schiozer, Denis J.; Bordalo, Sergio N. [Universidade Estadual de Campinas, SP (Brazil). Faculdade de Engenharia Mecanica. Centro de Estudo do Petroleo (CEPETRO)]. E-mail: denis@dep.fem.unicamp.br; bordalo@dep.fem.unicamp.br

    2000-07-01

    This work presents a method for optimizing the itinerary of work over rigs, i.e., the search for the route of minimum total cost, and demonstrates the importance of the dynamics of reservoir behaviour. The total cost of a route includes the rig expenses (transport, assembly and operation), which are functions of time and distances, plus the losses of revenue in wells waiting for the rig, which are also dependent of time. A reservoir simulator is used to evaluate the monetary influence of the well shutdown on the present value of the production curve. Finally, search algorithms are employed to determine the route of minimal cost. The Simulated Annealing algorithm was also successful in optimizing the distribution of a list of wells among different work over rigs. The rational approach presented here is recommended for management teams as a standard procedure to define the priority of wells scheduled for work over. (author)

  19. Interventions for pathological gambling.

    Science.gov (United States)

    Oakley-Browne, M A; Adams, P; Mobberley, P M

    2000-01-01

    effects models. Tests for heterogeneity were undertaken. Both short-term (1 month or less) and long-term (6 months or longer) outcomes were considered. Only four RCTs of psychological treatments were identified. These RCTs were heterogeneous in terms of design, interventions, outcome measurement and follow-up periods. All had small numbers of participants. The studies had poor methodological quality features. The experimental interventions, behavioural or cognitive-behavioural therapy (BT/CBT), were more efficacious than the control interventions in the short-term (relative risk 0.44, 95% confidence interval (CI) 0.24-0. 81). There was a trend for long-term treatment with BT/CBT to be more efficacious than the control treatments, but the statistical significance of this was sensitive to the statistical model used for meta-analysis. With a fixed effect model the relative risk was 0.56 (95% CI 0.33-0.95); the relative risk with a random effects model was 0.61 (95% CI 0.25-1.47). This systematic review revealed a paucity of evidence for effective treatment of pathological gambling. As gambling is becoming more accessible in many countries and there is epidemiological evidence of increasing rates of pathological gambling, more rigorous RCTs are required.

  20. Factors Predicting the Provision of Smoking Cessation Services Among Occupational Health Nurses in Thailand.

    Science.gov (United States)

    Chatdokmaiprai, Kannikar; Kalampakorn, Surintorn; McCullagh, Marjorie; Lagampan, Sunee; Keeratiwiriyaporn, Sansanee

    2017-06-01

    The purpose of this study was to identify factors predicting occupational health nurses' provision of smoking cessation services. Data were collected via a self-administered questionnaire distributed to 254 occupational health nurses in Thailand. Analysis by structural equation modeling revealed that self-efficacy directly and positively influenced smoking cessation services, and mediated the relationship between workplace factors, nurse factors, and smoking cessation services. The final model had good fit to the data, accounting for 20.4% and 38.0% of the variance in self-efficacy and smoking cessation services, respectively. The findings show that self-efficacy is a mediator that influences provision of smoking cessation services by occupational health nurses. Interventions to enhance nurses' self-efficacy in providing smoking cessation services are expected to promote provision of smoking cessation services to workers.