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"Moore, H"
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A Two-Year Randomized Trial of Obesity Treatment in Primary Care Practice
This trial compared three weight-loss interventions (usual care, brief lifestyle counseling, and enhanced brief lifestyle counseling) in primary care practice. Enhanced brief lifestyle counseling was most effective, resulting in significant weight loss in about one third of patients.
Investigators are searching for new approaches to the treatment of obesity during routine medical visits.
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–
4
Trials in which primary care providers (PCPs) offer counseling about diet and activity (i.e., lifestyle counseling) have led to weight loss of 2.5 kg or less over study periods ranging from 6 to 18 months.
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Limited treatment contact is probably responsible for this modest degree of weight loss.
1
Given the demands on providers' time, an increase in the frequency of PCP counseling does not appear to be feasible.
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As an alternative, Tsai et al.
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trained medical assistants to deliver individual lifestyle counseling with . . .
Journal Article
Chapter 11: Genome-Wide Association Studies
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS.
Journal Article
Language for specific purposes
\"Language for Specific Purposes provides a concise history of the roots of LSP, and an analysis of the current trends in globalization, technology and applied linguistics that directly affect the learning, teaching and researching of LSP. The book provides insights into language course planning, design and implementation, assessment and evaluation, as well as issues in pedagogy, classroom management and professional development of particular interest to LSP practitioners. Another important focus of the book is research: the nature of research in LSP, typical research methods in the field, and ideas for researchable projects. Numerous case studies and lists of useful resources for further study and research make this book a rich resource, not only for graduate students planning to teach LSP, but also for professionals looking to update or extend their knowledge of the field\"-- Provided by publisher.
Book
Conservation machine learning: a case study of random forests
Conservation machine learning conserves models across runs, users, and experiments—and puts them to good use. We have previously shown the merit of this idea through a small-scale preliminary experiment, involving a single dataset source, 10 datasets, and a single so-called cultivation method—used to produce the final ensemble. In this paper, focusing on classification tasks, we perform extensive experimentation with conservation random forests, involving 5 cultivation methods (including a novel one introduced herein—
lexigarden
), 6 dataset sources, and 31 datasets. We show that significant improvement can be attained by making use of models we are already in possession of anyway, and envisage the possibility of repositories of
models
(not merely datasets, solutions, or code), which could be made available to everyone, thus having conservation live up to its name, furthering the cause of data and computational science.
Journal Article
A Review of Virtual and Mixed Reality Applications in Construction Safety Literature
Over the last decade, researchers have used virtual- and mixed-reality (VR-MR) techniques for various safety-related applications such as training, hazard monitoring, and preconstruction planning. This paper reviews the recent trends in virtual- and mixed-reality applications in construction safety, explicitly focusing on virtual-reality and mixed-reality techniques as the two major types of computer-generated simulated experiences. Following a systematic literature assessment methodology, this study summarizes the results of articles that have been published over the last decade and illustrates the research trends of virtual- and mixed-reality applications in construction safety while focusing on the technological components of individual studies.
Journal Article
التنظيم من أجل التعلم : أساليب صفية لمساعدة الطلاب في التفاعل ضمن مجموعات صغيرة /
يتناول كتاب (التنظيم من أجل التعلم : أساليب صفية لمساعدة الطلاب في التفاعل ضمن مجموعات صغيرة) والتي قامت بتأليفه (دينا سين) في حوالي (119) صفحة من القطع المتوسط موضوع (طرق التدريس) مستعرضا المحتويات التالية : الأسلوب التدريسي الأول مناقشات الشركاء، الأسلوب التدريسي الثاني إنشاء مجموعات من أجل معالجة فعالة، الأسلوب التدريسي الثالث الممارسة الثنائية، الأسلوب التدريسي الرابع التجميع المنظم، الأسلوب التدريسي الخامس المشاريع التعاوينة.
Book
Electronic health records and polygenic risk scores for predicting disease risk
Accurate prediction of disease risk based on the genetic make-up of an individual is essential for effective prevention and personalized treatment. Nevertheless, to date, individual genetic variants from genome-wide association studies have achieved only moderate prediction of disease risk. The aggregation of genetic variants under a polygenic model shows promising improvements in prediction accuracies. Increasingly, electronic health records (EHRs) are being linked to patient genetic data in biobanks, which provides new opportunities for developing and applying polygenic risk scores in the clinic, to systematically examine and evaluate patient susceptibilities to disease. However, the heterogeneous nature of EHR data brings forth many practical challenges along every step of designing and implementing risk prediction strategies. In this Review, we present the unique considerations for using genotype and phenotype data from biobank-linked EHRs for polygenic risk prediction.Electronic health records (EHRs) linked to biobanks provide new opportunities for developing and applying polygenic risk scores in the clinic. The authors review the opportunities and challenges that arise when using EHR data for the systematic evaluation of patient disease susceptibilities.
Journal Article