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https://www.readbyqxmd.com/read/28538231/informal-peer-assisted-learning-groups-did-not-lead-to-better-performance-of-saudi-dental-students
#1
Maha AbdelSalam, Maha El Tantawi, Asim Al-Ansari, Adel AlAgl, Fahad Al-Harbi
OBJECTIVES: To describe peer-assisted learning (PAL) groups formed by dental undergraduate students in a biomedical course and investigate the association of individual and group characteristics with academic performance. SUBJECTS AND METHODS: In 2015, 92 4th yr. students (males: 43; females: 49) in the College of Dentistry, University of Dammam, Saudi Arabia were invited to form PAL groups to study a unit in a biomedical course. An examination was used to assess their knowledge after two weeks...
May 23, 2017: Medical Principles and Practice: International Journal of the Kuwait University, Health Science Centre
https://www.readbyqxmd.com/read/28516340/social-studying-and-learning-among-medical-students-a%C3%A2-scoping-review
#2
REVIEW
Daniela Keren, Jocelyn Lockyer, Rachel H Ellaway
INTRODUCTION: Medical students study in social groups, which influence their learning, but few studies have investigated the characteristics of study groups and the impacts they have on students' learning. A scoping review was conducted on the topic of informal social studying and learning within medical education with the aim of appraising what is known regarding medical student attitudes to group study, the impact of group study on participants, and the methods that have been employed to study this...
May 17, 2017: Perspectives on Medical Education
https://www.readbyqxmd.com/read/28427329/cross-disorder-comparative-analysis-of-comorbid-conditions-reveals-novel-autism-candidate-genes
#3
Leticia Diaz-Beltran, Francisco J Esteban, Maya Varma, Alp Ortuzk, Maude David, Dennis P Wall
BACKGROUND: Numerous studies have highlighted the elevated degree of comorbidity associated with autism spectrum disorder (ASD). These comorbid conditions may add further impairments to individuals with autism and are substantially more prevalent compared to neurotypical populations. These high rates of comorbidity are not surprising taking into account the overlap of symptoms that ASD shares with other pathologies. From a research perspective, this suggests common molecular mechanisms involved in these conditions...
April 20, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28423801/monitoring-of-students-interaction-in-online-learning-settings-by-structural-network-analysis-and-indicators
#4
Elske Ammenwerth, Werner O Hackl
Learning as a constructive process works best in interaction with other learners. Support of social interaction processes is a particular challenge within online learning settings due to the spatial and temporal distribution of participants. It should thus be carefully monitored. We present structural network analysis and related indicators to analyse and visualize interaction patterns of participants in online learning settings. We validate this approach in two online courses and show how the visualization helps to monitor interaction and to identify activity profiles of learners...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28409485/cohesion-network-analysis-of-cscl-participation
#5
Mihai Dascalu, Danielle S McNamara, Stefan Trausan-Matu, Laura K Allen
The broad use of computer-supported collaborative-learning (CSCL) environments (e.g., instant messenger-chats, forums, blogs in online communities, and massive open online courses) calls for automated tools to support tutors in the time-consuming process of analyzing collaborative conversations. In this article, the authors propose and validate the cohesion network analysis (CNA) model, housed within the ReaderBench platform. CNA, grounded in theories of cohesion, dialogism, and polyphony, is similar to social network analysis (SNA), but it also considers text content and discourse structure and, uniquely, uses automated cohesion indices to generate the underlying discourse representation...
April 13, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28386198/a-novel-comprehensive-learning-artificial-bee-colony-optimizer-for-dynamic-optimization-biological-problems
#6
Weixing Su, Hanning Chen, Fang Liu, Na Lin, Shikai Jing, Xiaodan Liang, Wei Liu
There are many dynamic optimization problems in the real world, whose convergence and searching ability is cautiously desired, obviously different from static optimization cases. This requires an optimization algorithm adaptively seek the changing optima over dynamic environments, instead of only finding the global optimal solution in the static environment. This paper proposes a novel comprehensive learning artificial bee colony optimizer (CLABC) for optimization in dynamic environments problems, which employs a pool of optimal foraging strategies to balance the exploration and exploitation tradeoff...
March 2017: Saudi Journal of Biological Sciences
https://www.readbyqxmd.com/read/28356321/transcriptional-regulatory-dynamics-drive-coordinated-metabolic-and-neural-response-to-social-challenge-in-mice
#7
Michael Saul, Christopher H Seward, Joseph M Troy, Huimin Zhang, Laura G Sloofman, Xiaochen Lu, Patricia A Weisner, Derek Caetano-Anolles, Hao Sun, Sihai D Zhao, Sriram Chandrasekaran, Saurabh Sinha, Lisa Stubbs
Agonistic encounters are powerful effectors of future behavior, and the ability to learn from this type of social challenge is an essential adaptive trait. We recently identified a conserved transcriptional program defining the response to social challenge across animal species, highly enriched in transcription factor (TF), energy metabolism, and developmental signaling genes. To understand the trajectory of this program and to uncover the most important regulatory influences controlling this response, we integrated gene expression data with the chromatin landscape in hypothalamus, frontal cortex, and amygdala of socially challenged mice over time...
March 29, 2017: Genome Research
https://www.readbyqxmd.com/read/28339747/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitter-posts
#8
Anne Cocos, Alexander G Fiks, Aaron J Masino
Objective: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Social media includes informal vocabulary and irregular grammar, which challenge natural language processing methods. Our objective is to develop a scalable, deep-learning approach that exceeds state-of-the-art ADR detection performance in social media...
February 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28321132/the-outcomes-of-health-promoting-communities-being-active-eating-well-initiative-a-community-based-obesity-prevention-intervention-in-victoria-australia
#9
K A Bolton, P Kremer, L Gibbs, E Waters, B Swinburn, A de Silva
OBJECTIVE: To evaluate the impact of the Health Promoting Communities: Being Active Eating Well (HPC:BAEW, 2007-2010) initiative which comprised of community-based multi-component interventions adapted to community context in five separate communities. The intervention aimed to promote healthy eating, physical activity and stronger, healthier communities. METHODS: A mixed method and multi-level quasi-experimental evaluation of the HPC:BAEW initiative captured process, impact and outcome data...
March 21, 2017: International Journal of Obesity: Journal of the International Association for the Study of Obesity
https://www.readbyqxmd.com/read/28315459/dynamic-reorganization-of-intrinsic-functional-networks-in-the-mouse-brain
#10
Joanes Grandjean, Maria Giulia Preti, Thomas A W Bolton, Michaela Buerge, Erich Seifritz, Christopher R Pryce, Dimitri Van De Ville, Markus Rudin
Functional connectivity (FC) derived from resting-state functional magnetic resonance imaging (rs-fMRI) allows for the integrative study of neuronal processes at a macroscopic level. The majority of studies to date have assumed stationary interactions between brain regions, without considering the dynamic aspects of network organization. Only recently has the latter received increased attention, predominantly in human studies. Applying dynamic FC (dFC) analysis to mice is attractive given the relative simplicity of the mouse brain and the possibility to explore mechanisms underlying network dynamics using pharmacological, environmental or genetic interventions...
March 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28298892/maintaining-cognitive-functioning-in-healthy-seniors-with-a-technology-based-foreign-language-program-a-pilot-feasibility-study
#11
Caitlin Ware, Souad Damnee, Leila Djabelkhir, Victoria Cristancho, Ya-Huei Wu, Judith Benovici, Maribel Pino, Anne-Sophie Rigaud
Researchers have hypothesized that learning a foreign language could be beneficial for seniors, as language learning requires the use of extensive neural networks. We developed and qualitatively evaluated an English training program for older French adults; our principal objective was to determine whether a program integrating technology is feasible for this population. We conducted a 4-month pilot study (16, 2-h sessions) with 14 French participants, (nine women, five men, average age 75). Questionnaires were administered pre- and post-intervention to measure cognitive level and subjective feelings of loneliness or social isolation; however, these scores did not improve significantly...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28298593/learning-and-robustness-to-catch-and-release-fishing-in-a-shark-social-network
#12
Johann Mourier, Culum Brown, Serge Planes
Individuals can play different roles in maintaining connectivity and social cohesion in animal populations and thereby influence population robustness to perturbations. We performed a social network analysis in a reef shark population to assess the vulnerability of the global network to node removal under different scenarios. We found that the network was generally robust to the removal of nodes with high centrality. The network appeared also highly robust to experimental fishing. Individual shark catchability decreased as a function of experience, as revealed by comparing capture frequency and site presence...
March 2017: Biology Letters
https://www.readbyqxmd.com/read/28242512/evaluation-of-a-cross-cultural-training-program-for-pakistani-educators-lessons-learned-and-implications-for-program-planning
#13
Rebecca Mazur, Rebecca H Woodland
In this paper, we share the results of a summative evaluation of PEILI, a US-based adult professional development/training program for secondary school Pakistani teachers. The evaluation was guided by the theories of cultural competence (American Psychological Association, 2003; Bamberger, 1999; Wadsworth, 2001) and established frameworks for the evaluation of professional development/training and instructional design (Bennett, 1975; Guskey, 2002; King, 2014; Kirkpatrick, 1967). The explicit and implicit stakeholder assumptions about the connections between program resources, activities, outputs, and outcomes are described...
June 2017: Evaluation and Program Planning
https://www.readbyqxmd.com/read/28231286/lexicon-enhanced-sentiment-analysis-framework-using-rule-based-classification-scheme
#14
Muhammad Zubair Asghar, Aurangzeb Khan, Shakeel Ahmad, Maria Qasim, Imran Ali Khan
With the rapid increase in social networks and blogs, the social media services are increasingly being used by online communities to share their views and experiences about a particular product, policy and event. Due to economic importance of these reviews, there is growing trend of writing user reviews to promote a product. Nowadays, users prefer online blogs and review sites to purchase products. Therefore, user reviews are considered as an important source of information in Sentiment Analysis (SA) applications for decision making...
2017: PloS One
https://www.readbyqxmd.com/read/28202961/early-brain-development-in-infants-at-high-risk-for-autism-spectrum-disorder
#15
Heather Cody Hazlett, Hongbin Gu, Brent C Munsell, Sun Hyung Kim, Martin Styner, Jason J Wolff, Jed T Elison, Meghan R Swanson, Hongtu Zhu, Kelly N Botteron, D Louis Collins, John N Constantino, Stephen R Dager, Annette M Estes, Alan C Evans, Vladimir S Fonov, Guido Gerig, Penelope Kostopoulos, Robert C McKinstry, Juhi Pandey, Sarah Paterson, John R Pruett, Robert T Schultz, Dennis W Shaw, Lonnie Zwaigenbaum, Joseph Piven
Brain enlargement has been observed in children with autism spectrum disorder (ASD), but the timing of this phenomenon, and the relationship between ASD and the appearance of behavioural symptoms, are unknown. Retrospective head circumference and longitudinal brain volume studies of two-year olds followed up at four years of age have provided evidence that increased brain volume may emerge early in development. Studies of infants at high familial risk of autism can provide insight into the early development of autism and have shown that characteristic social deficits in ASD emerge during the latter part of the first and in the second year of life...
February 15, 2017: Nature
https://www.readbyqxmd.com/read/28187343/a-study-of-best-practices-in-promoting-sustainable-urbanization-in-china
#16
Yongtao Tan, Hui Xu, Liudan Jiao, J Jorge Ochoa, Liyin Shen
In the past twenty years, various sustainable urban development policies and methods had been implemented within China, such that sustainable urbanization is now more widely accepted. Some of these policies and methods have been found to be successful in improving the sustainability of cities in China. Those practices can be defined as the best practices of sustainable urbanization, which can provide useful references for future urban developments. However, few existing studies examine how to learn from these best practices...
May 15, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28097618/sex-behaviors-as-social-cues-motivating-social-venue-patronage-among-young-black-men-who-have-sex-with-men
#17
Lindsay E Young, Stuart Michaels, Adam Jonas, Aditya S Khanna, Britt Skaathun, Ethan Morgan, John A Schneider
HIV prevention programs often focus on the physical social venues where men who have sex with men (MSM) frequent as sites where sex behaviors are assumed to be practiced and risk is conferred. But, how exactly these behaviors influence venue patronage is not well understood. In this study, we present a two-mode network analysis that determines the extent that three types of sex behaviors-condomless sex, sex-drug use, and group sex-influence the patronage of different types of social venues among a population sample of young Black MSM (YBMSM) (N = 623)...
January 17, 2017: AIDS and Behavior
https://www.readbyqxmd.com/read/28062516/systems-thinking-in-public-health-a-bibliographic-contribution-to-a-meta-narrative-review
#18
Saad Chughtai, Karl Blanchet
Background: Research across the formal, natural and social sciences has greatly expanded our knowledge about complex systems in recent decades, informing a broadly inclusive, cross-disciplinary conceptual framework referred to as Systems Thinking (ST). Its use in public health is rapidly increasing, although there remains a poor understanding of how these ideas have been imported, adapted and elaborated by public health research networks worldwide. Method: This review employed a mixed methods approach to narrate the development of ST in public health...
May 1, 2017: Health Policy and Planning
https://www.readbyqxmd.com/read/28034788/an-unsupervised-machine-learning-model-for-discovering-latent-infectious-diseases-using-social-media-data
#19
Sunghoon Lim, Conrad S Tucker, Soundar Kumara
INTRODUCTION: The authors of this work propose an unsupervised machine learning model that has the ability to identify real-world latent infectious diseases by mining social media data. In this study, a latent infectious disease is defined as a communicable disease that has not yet been formalized by national public health institutes and explicitly communicated to the general public. Most existing approaches to modeling infectious-disease-related knowledge discovery through social media networks are top-down approaches that are based on already known information, such as the names of diseases and their symptoms...
December 26, 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28031301/social-mobilization-and-community-engagement-central-to-the-ebola-response-in-west-africa-lessons-for-future-public-health-emergencies
#20
Amaya M Gillespie, Rafael Obregon, Rania El Asawi, Catherine Richey, Erma Manoncourt, Kshiitij Joshi, Savita Naqvi, Ade Pouye, Naqibullah Safi, Ketan Chitnis, Sabeeha Quereshi
Following the World Health Organization (WHO) declaration of a Public Health Emergency of International Concern regarding the Ebola outbreak in West Africa in July 2014, UNICEF was asked to co-lead, in coordination with WHO and the ministries of health of affected countries, the communication and social mobilization component-which UNICEF refers to as communication for development (C4D)-of the Ebola response. For the first time in an emergency setting, C4D was formally incorporated into each country's national response, alongside more typical components such as supplies and logistics, surveillance, and clinical care...
December 23, 2016: Global Health, Science and Practice
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