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https://www.readbyqxmd.com/read/28729114/altered-intrinsic-functional-connectivity-in-the-latent-period-of-epileptogenesis-in-a-temporal-lobe-epilepsy-model
#1
Hyoin Lee, Seungmoon Jung, Peter Lee, Yong Jeong
The latent period, a seizure-free phase, is the duration between brain injury and the onset of spontaneous recurrent seizures (SRSs) during epileptogenesis. The latent period is thought to involve several progressive pathophysiological events that lead to the evolution of the chronic epilepsy phase. Hence, it is vital to investigate the changes in the latent period during epileptogenesis in order to better understand temporal lobe epilepsy (TLE), and to achieve early diagnosis and appropriate management of the condition...
July 17, 2017: Experimental Neurology
https://www.readbyqxmd.com/read/28708848/predicting-all-cause-risk-of-30-day-hospital-readmission-using-artificial-neural-networks
#2
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists...
2017: PloS One
https://www.readbyqxmd.com/read/28691867/an-international-survey-of-veterinary-students-to-assess-their-use-of-online-learning-resources
#3
Laura Gledhill, Vicki H M Dale, Sonya Powney, Gemma H L Gaitskell-Phillips, Nick R M Short
Today's veterinary students have access to a wide range of online resources that support self-directed learning. To develop a benchmark of current global student practice in e-learning, this study measured self-reported access to, and use of, these resources by students internationally. An online survey was designed and promoted via veterinary student mailing lists and international organizations, resulting in 1,070 responses. Analysis of survey data indicated that students now use online resources in a wide range of ways to support their learning...
July 10, 2017: Journal of Veterinary Medical Education
https://www.readbyqxmd.com/read/28690704/experienced-practitioners-beliefs-utilized-to-create-a-successful-massage-therapist-conceptual-model-a-qualitative-investigation
#4
Anne B Kennedy, Niki Munk
BACKGROUND: The massage therapy profession in the United States has grown exponentially, with 35% of the profession's practitioners in practice for three years or less. Investigating personal and social factors with regard to the massage therapy profession could help to identify constructs needed to be successful in the field. PURPOSE: This data-gathering exercise explores massage therapists' perceptions on what makes a successful massage therapist that will provide guidance for future research...
June 2017: International Journal of Therapeutic Massage & Bodywork
https://www.readbyqxmd.com/read/28663166/researching-mental-health-disorders-in-the-era-of-social-media-systematic-review
#5
REVIEW
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
BACKGROUND: Mental illness is quickly becoming one of the most prevalent public health problems worldwide. Social network platforms, where users can express their emotions, feelings, and thoughts, are a valuable source of data for researching mental health, and techniques based on machine learning are increasingly used for this purpose. OBJECTIVE: The objective of this review was to explore the scope and limits of cutting-edge techniques that researchers are using for predictive analytics in mental health and to review associated issues, such as ethical concerns, in this area of research...
June 29, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28626845/temporally-factorized-network-modeling-for-evolutionary-network-analysis
#6
Wenchao Yu, Charu C Aggarwal, Wei Wang
The problem of evolutionary network analysis has gained increasing attention in recent years, because of an increasing number of networks, which are encountered in temporal settings. For example, social networks, communication networks, and information networks continuously evolve over time, and it is desirable to learn interesting trends about how the network structure evolves over time, and in terms of other interesting trends. One challenging aspect of networks is that they are inherently resistant to parametric modeling, which allows us to truly express the edges in the network as functions of time...
February 2017: Proceedings of the ... International Conference on Web Search & Data Mining. International Conference on Web Search & Data Mining
https://www.readbyqxmd.com/read/28609458/dendritic-overgrowth-and-elevated-erk-signaling-during-neonatal-development-in-a-mouse-model-of-autism
#7
Ning Cheng, Fawaz Alshammari, Elizabeth Hughes, Maryam Khanbabaei, Jong M Rho
Autism spectrum disorder (hereafter referred to as "ASD") is a heterogeneous neurodevelopmental condition characterized by impaired social communication and interactions, and restricted, repetitive activities or interests. Alterations in network connectivity and memory function are frequently observed in autism patients, often involving the hippocampus. However, specific changes during early brain development leading to disrupted functioning remain largely unclear. Here, we investigated the development of dendritic arbor of hippocampal CA1 pyramidal neurons in the BTBR T+tf/J (BTBR) mouse model of autism...
2017: PloS One
https://www.readbyqxmd.com/read/28569746/ants-regulate-colony-spatial-organization-using-multiple-chemical-road-signs
#8
Yael Heyman, Noam Shental, Alexander Brandis, Abraham Hefetz, Ofer Feinerman
Communication provides the basis for social life. In ant colonies, the prevalence of local, often chemically mediated, interactions introduces strong links between communication networks and the spatial distribution of ants. It is, however, unknown how ants identify and maintain nest chambers with distinct functions. Here, we combine individual tracking, chemical analysis and machine learning to decipher the chemical signatures present on multiple nest surfaces. We present evidence for several distinct chemical 'road-signs' that guide the ants' movements within the dark nest...
June 1, 2017: Nature Communications
https://www.readbyqxmd.com/read/28538231/informal-peer-assisted-learning-groups-did-not-lead-to-better-performance-of-saudi-dental-students
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
Michael C Saul, Christopher H Seward, Joseph M Troy, Huimin Zhang, Laura G Sloofman, Xiaochen Lu, Patricia A Weisner, Derek Caetano-Anolles, Hao Sun, Sihai Dave 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 the hypothalamus, frontal cortex, and amygdala of socially challenged mice over time...
June 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
#16
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
#17
K A Bolton, P Kremer, L Gibbs, E Waters, B Swinburn, A de Silva
OBJECTIVE: The aim of this study is to evaluate the impact of the Health-Promoting Communities: Being Active Eating Well (HPC:BAEW, 2007-2010) initiative, which comprised 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 multilevel quasi-experimental evaluation of the HPC:BAEW initiative captured process, impact and outcome data...
July 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
#18
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
#19
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
#20
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
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