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https://www.readbyqxmd.com/read/27924290/data-on-multicultural-education-and-diagnostic-information-profiling-culture-learning-styles-and-creativity
#1
Andino Maseleno, Glenn Hardaker, Noraisikin Sabani, Nabilah Suhaili
This article contains data related to multicultural education and diagnostic information profiling preliminary findings. It includes the responses of 253 students. The data consists of six sections, i) culture: race, ethnicity, language and identity; ii) learning preferences: physiological and perceptual; iii) cognitive learning styles: physical, emotional and mental; iv) creativity skills and problem solving skills; v) motivation; and vi) students' background knowledge. The data may be used as part of data analytics for specific personalized e-learning platform...
December 2016: Data in Brief
https://www.readbyqxmd.com/read/27918178/a-practical-guide-to-big-data-research-in-psychology
#2
Eric Evan Chen, Sean P Wojcik
The massive volume of data that now covers a wide variety of human behaviors offers researchers in psychology an unprecedented opportunity to conduct innovative theory- and data-driven field research. This article is a practical guide to conducting big data research, covering data management, acquisition, processing, and analytics (including key supervised and unsupervised learning data mining methods). It is accompanied by walkthrough tutorials on data acquisition, text analysis with latent Dirichlet allocation topic modeling, and classification with support vector machines...
December 2016: Psychological Methods
https://www.readbyqxmd.com/read/27917222/access-attitudes-and-training-in-information-technologies-and-evidence-based-medicine-among-medical-students-at-university-of-zimbabwe-college-of-health-sciences
#3
Swapnil Parve, Ali Ershadi, Alexandr Karimov, Anne Dougherty, Chiratidzo E Ndhlovu, Midion M Chidzonga, Majid Sadigh
BACKGROUND: The Medical Education Partnership Initiative, has helped to mitigate the digital divide in Africa. The aim of the study was to assess the level of access, attitude, and training concerning meaningful use of electronic resources and EBM among medical students at an African medical school. METHODS: The study involved medical students at the University of Zimbabwe College of Health Sciences, Harare. The needs assessment tool consisted of a 21-question, paper-based, voluntary and anonymous survey...
September 2016: African Health Sciences
https://www.readbyqxmd.com/read/27914943/disadvantageous-decision-making-in-borderline-personality-disorder-partial-support-from-a-meta-analytic-review
#4
REVIEW
Christian Paret, Christine Jennen-Steinmetz, Christian Schmahl
To achieve long-term goals, organisms evaluate outcomes and expected consequences of their behaviors. Unfavorable decisions maintain many symptoms of borderline personality disorder (BPD); therefore, a better understanding of the mechanisms underlying decision-making in BPD is needed. In this review, the current literature comparing decision-making in patients with BPD versus healthy controls is analyzed. Twenty-eight empirical studies were identified through a structured literature search. The effect sizes from studies applying comparable experimental tasks were analyzed...
November 30, 2016: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/27908561/beyond-eye-gaze-what-else-can-eyetracking-reveal-about-cognition-and-cognitive-development
#5
REVIEW
Maria K Eckstein, Belén Guerra-Carrillo, Alison T Miller Singley, Silvia A Bunge
This review provides an introduction to two eyetracking measures that can be used to study cognitive development and plasticity: pupil dilation and spontaneous blink rate. We begin by outlining the rich history of gaze analysis, which can reveal the current focus of attention as well as cognitive strategies. We then turn to the two lesser-utilized ocular measures. Pupil dilation is modulated by the brain's locus coeruleus-norepinephrine system, which controls physiological arousal and attention, and has been used as a measure of subjective task difficulty, mental effort, and neural gain...
November 11, 2016: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/27907982/learners-perspective-where-and-when-pre-residency-trainees-learn-more-to-achieve-their-core-clinical-competencies
#6
Eusang Ahn, Ducksun Ahn, Young-Mee Lee
PURPOSE: While it is known that effective clinical education requires active involvement of its participants, regular feedback, communication skills and interprofessional training, limited studies have been conducted in Korea that demonstrate how pre-residency trainees acquire their core clinical skills. This is a cross-sectional study of interns and students across a third-tier university hospital in Korea to examine where and when they acquire core clinical skills. METHODS: A total of 74 students and 91 interns were asked to participate in a closed-ended questionnaire, and 50 participants (20 students and 30 interns) were involved in semistructured individual interviews...
December 2016: Korean Journal of Medical Education
https://www.readbyqxmd.com/read/27896760/opportunities-and-challenges-of-multiplex-assays-a-machine-learning-perspective
#7
Junfang Chen, Emanuel Schwarz
Multiplex assays that allow the simultaneous measurement of multiple analytes in small sample quantities have developed into a widely used technology. Their implementation spans across multiple assay systems and can provide readouts of similar quality as the respective single-plex measures, albeit at far higher throughput. Multiplex assay systems are therefore an important element for biomarker discovery and development strategies but analysis of the derived data can face substantial challenges that may limit the possibility of identifying meaningful biological markers...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27890605/developmental-metaplasticity-in-neural-circuit-codes-of-firing-and-structure
#8
Yoram Baram
Firing-rate dynamics have been hypothesized to mediate inter-neural information transfer in the brain. While the Hebbian paradigm, relating learning and memory to firing activity, has put synaptic efficacy variation at the center of cortical plasticity, we suggest that the external expression of plasticity by changes in the firing-rate dynamics represents a more general notion of plasticity. Hypothesizing that time constants of plasticity and firing dynamics increase with age, and employing the filtering property of the neuron, we obtain the elementary code of global attractors associated with the firing-rate dynamics in each developmental stage...
September 30, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/27878938/the-impact-of-affiliate-stigma-on-the-psychological-well-being-of-mothers-of-children-with-specific-learning-disabilities-in-india-the-mediating-role-of-subjective-burden
#9
Gazal Banga, Subharati Ghosh
BACKGROUND: Knowledge of the impact of affiliate stigma on the wellbeing of caregivers to children with specific learning disability (SLD) in India is limited. To fill in this gap in knowledge a cross-sectional quantitative study was undertaken to assess the impact of affiliate stigma on the psychological well-being of mothers with children with SLD in India, and test the mediating role of subjective burden, using an adapted version of Pearlin's stress and adaptation model. METHODS: Sample included 100 mothers of children with SLD...
November 23, 2016: Journal of Applied Research in Intellectual Disabilities: JARID
https://www.readbyqxmd.com/read/27878426/the-differential-effects-of-alzheimer-s-disease-and-lewy-body-pathology-on-cognitive-performance-a-meta-analysis
#10
REVIEW
Ashita S Gurnani, Brandon E Gavett
Differential diagnosis of Alzheimer's disease (AD) from normal aging and other dementia etiologies is imperative for disease specific treatment options and long-term care planning. Neuropathological confirmation is the gold standard for neurodegenerative disease diagnosis, yet most published studies examining the use of neuropsychological tests in the differential diagnosis of dementia rely upon clinical diagnostic outcomes. The present study undertook a meta-analytic review of the literature to identify cognitive tests and domains that allow for the differentiation of individuals with AD pathology from individuals with dementia with Lewy Bodies (DLB) pathology and pathology-free individuals...
November 22, 2016: Neuropsychology Review
https://www.readbyqxmd.com/read/27876690/-mommy-blogs-and-the-vaccination-exemption-narrative-results-from-a-machine-learning-approach-for-story-aggregation-on-parenting-social-media-sites
#11
Timothy R Tangherlini, Vwani Roychowdhury, Beth Glenn, Catherine M Crespi, Roja Bandari, Akshay Wadia, Misagh Falahi, Ehsan Ebrahimzadeh, Roshan Bastani
BACKGROUND: Social media offer an unprecedented opportunity to explore how people talk about health care at a very large scale. Numerous studies have shown the importance of websites with user forums for people seeking information related to health. Parents turn to some of these sites, colloquially referred to as "mommy blogs," to share concerns about children's health care, including vaccination. Although substantial work has considered the role of social media, particularly Twitter, in discussions of vaccination and other health care-related issues, there has been little work on describing the underlying structure of these discussions and the role of persuasive storytelling, particularly on sites with no limits on post length...
November 22, 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27875171/vlat-development-of-a-visualization-literacy-assessment-test
#12
Sukwon Lee, Sung-Hee Kim, Bum Chul Kwon
The Information Visualization community has begun to pay attention to visualization literacy; however, researchers still lack instruments for measuring the visualization literacy of users. In order to address this gap, we systematically developed a visualization literacy assessment test (VLAT), especially for non-expert users in data visualization, by following the established procedure of test development in Psychological and Educational Measurement: (1) Test Blueprint Construction, (2) Test Item Generation, (3) Content Validity Evaluation, (4) Test Tryout and Item Analysis, (5) Test Item Selection, and (6) Reliability Evaluation...
January 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27875141/visual-interaction-with-dimensionality-reduction-a-structured-literature-analysis
#13
Dominik Sacha, Leishi Zhang, Michael Sedlmair, John A Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C North, Daniel A Keim
Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data. For DR techniques to be useful in exploratory data analysis, they need to be adapted to human needs and domain-specific problems, ideally, interactively, and on-the-fly. Many visual analytics systems have already demonstrated the benefits of tightly integrating DR with interactive visualizations. Nevertheless, a general, structured understanding of this integration is missing. To address this, we systematically studied the visual analytics and visualization literature to investigate how analysts interact with automatic DR techniques...
January 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27875135/an-analysis-of-machine-and-human-analytics-in-classification
#14
Gary K L Tam, Vivek Kothari, Min Chen
In this work, we present a study that traces the technical and cognitive processes in two visual analytics applications to a common theoretic model of soft knowledge that may be added into a visual analytics process for constructing a decision-tree model. Both case studies involved the development of classification models based on the "bag of features" approach. Both compared a visual analytics approach using parallel coordinates with a machine-learning approach using information theory. Both found that the visual analytics approach had some advantages over the machine learning approach, especially when sparse datasets were used as the ground truth...
January 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27873357/use-of-big-data-for-drug-development-and-for-public-and-personal-health-and-care
#15
Lada Leyens, Matthias Reumann, Nuria Malats, Angela Brand
The use of data analytics across the entire healthcare value chain, from drug discovery and development through epidemiology to informed clinical decision for patients or policy making for public health, has seen an explosion in the recent years. The increase in quantity and variety of data available together with the improvement of storing capabilities and analytical tools offer numerous possibilities to all stakeholders (manufacturers, regulators, payers, healthcare providers, decision makers, researchers) but most importantly, it has the potential to improve general health outcomes if we learn how to exploit it in the right way...
November 21, 2016: Genetic Epidemiology
https://www.readbyqxmd.com/read/27869580/qualitative-analysis-of-multi-disciplinary-round-table-discussions-on-the-acceleration-of-benefits-and-data-analytics-through-hospital-electronic-prescribing-eprescribing-systems
#16
Kathrin Cresswell, Jamie Coleman, Pam Smith, Charles Swainson, Ann Slee, Aziz Sheikh
BACKGROUND: Electronic systems that facilitate prescribing, administration and dispensing of medicines (ePrescribing systems) are at the heart of international efforts to improve the safety, quality and efficiency of medicine management. Considering the initial costs of procuring and maintaining ePrescribing systems, there is a need to better understand how to accelerate and maximise the financial benefits associated with these systems. OBJECTIVES: We sought to investigate how different sectors are approaching the realisation of returns on investment from ePrescribing systems in U...
July 4, 2016: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/27866512/age-related-epigenetic-regulation-in-the-brain-and-its-role-in-neuronal-diseases
#17
Jeongsil Kim-Ha, Young-Joon Kim
Accumulating evidence indicates many brain functions are mediated by epigenetic regulation of neural genes, and their dysregulations result in neuronal disorders. Experiences such as learning and recall, and physical exercise induce neuronal activation through epigenetic modifications and by changing noncoding RNA profiles. Animal models, brain samples from patients, and the development of diverse analytical methods have broadened our understanding of epigenetic regulation in the brain. Diverse and specific epigenetic changes are being suggested to correlate with neuronal development, learning and memory, aging and age-related neuronal diseases...
November 18, 2016: BMB Reports
https://www.readbyqxmd.com/read/27866172/what-does-the-wraml2-core-battery-measure-utilizing-exploratory-and-confirmatory-techniques-to-disclose-higher-order-structure
#18
Ryan J McGill, Stefan C Dombrowski
The present study examined the factor structure of the Wide Range Assessment of Memory and Learning-Second Edition (WRAML2) core battery with participants from the normative sample aged 9 to 90 years (n = 880) using higher order exploratory and confirmatory factor analytic techniques that were not reported in the in the WRAML2 Administration and Technical Manual Exploratory factor analysis results suggested only one factor, whereas confirmatory factor analysis results favored the three factors posited by the test authors...
November 19, 2016: Assessment
https://www.readbyqxmd.com/read/27862002/distributed-data-networks-a-blueprint-for-big-data-sharing-and-healthcare-analytics
#19
Jennifer R Popovic
This paper defines the attributes of distributed data networks and outlines the data and analytic infrastructure needed to build and maintain a successful network. We use examples from one successful implementation of a large-scale, multisite, healthcare-related distributed data network, the U.S. Food and Drug Administration-sponsored Sentinel Initiative. Analytic infrastructure-development concepts are discussed from the perspective of promoting six pillars of analytic infrastructure: consistency, reusability, flexibility, scalability, transparency, and reproducibility...
November 18, 2016: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/27856745/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-schemes
#20
Carlo Baldassi, Christian Borgs, Jennifer T Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
In artificial neural networks, learning from data is a computationally demanding task in which a large number of connection weights are iteratively tuned through stochastic-gradient-based heuristic processes over a cost function. It is not well understood how learning occurs in these systems, in particular how they avoid getting trapped in configurations with poor computational performance. Here, we study the difficult case of networks with discrete weights, where the optimization landscape is very rough even for simple architectures, and provide theoretical and numerical evidence of the existence of rare-but extremely dense and accessible-regions of configurations in the network weight space...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
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