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https://www.readbyqxmd.com/read/28646506/three-lessons-for-genetic-toxicology-from-baseball-analytics
#1
EDITORIAL
Stephen D Dertinger
In many respects the evolution of baseball statistics mirrors advances made in the field of genetic toxicology. From its inception, baseball and statistics have been inextricably linked. Generations of players and fans have used a number of relatively simple measurements to describe team and individual player's current performance, as well as for historical record-keeping purposes. Over the years, baseball analytics has progressed in several important ways. Early advances were based on deriving more meaningful metrics from simpler forerunners...
June 24, 2017: Environmental and Molecular Mutagenesis
https://www.readbyqxmd.com/read/28629382/community-first-responders-and-responder-schemes-in-the-united-kingdom-systematic-scoping-review
#2
Viet-Hai Phung, Ian Trueman, Fiona Togher, Roderick Orner, A Niroshan Siriwardena
BACKGROUND: Community First Responder (CFR) schemes support lay people to respond to medical emergencies, working closely with ambulance services. They operate widely in the UK. There has been no previous review of UK literature on these schemes. This is the first systematic scoping review of UK literature on CFR schemes, which identifies the reasons for becoming a CFR, requirements for training and feedback and confusion between the CFR role and that of ambulance service staff. This study also reveals gaps in the evidence base for CFR schemes...
June 19, 2017: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
https://www.readbyqxmd.com/read/28623343/data-driven-nanomechanical-sensing-specific-information-extraction-from-a-complex-system
#3
Kota Shiba, Ryo Tamura, Gaku Imamura, Genki Yoshikawa
Smells are known to be composed of thousands of chemicals with various concentrations, and thus, the extraction of specific information from such a complex system is still challenging. Herein, we report for the first time that the nanomechanical sensing combined with machine learning realizes the specific information extraction, e.g. alcohol content quantification as a proof-of-concept, from the smells of liquors. A newly developed nanomechanical sensor platform, a Membrane-type Surface stress Sensor (MSS), was utilized...
June 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28613236/a-framework-for-learning-analytics-using-commodity-wearable-devices
#4
Yu Lu, Sen Zhang, Zhiqiang Zhang, Wendong Xiao, Shengquan Yu
We advocate for and introduce LEARNSense, a framework for learning analytics using commodity wearable devices to capture learner's physical actions and accordingly infer learner context (e.g., student activities and engagement status in class). Our work is motivated by the observations that: (a) the fine-grained individual-specific learner actions are crucial to understand learners and their context information; (b) sensor data available on the latest wearable devices (e.g., wrist-worn and eye wear devices) can effectively recognize learner actions and help to infer learner context information; (c) the commodity wearable devices that are widely available on the market can provide a hassle-free and non-intrusive solution...
June 14, 2017: Sensors
https://www.readbyqxmd.com/read/28613179/unsupervised-learning-of-spike-pattern-for-seizure-detection-and-wavefront-estimation-of-high-resolution-micro-electrocorticographic-%C3%AE-ecog-data
#5
Yilin Song, Yao Wang, Jonathan Viventi
For the past few years, we have developed flexible, active, multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the electrical activity of the brain, the analytical methods to process, categorize and respond to the huge volumes of seizure data produced by these devices have not yet been developed. In this work we proposed an unsupervised learning framework for spike analysis, which by itself reveals spike pattern...
June 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28607641/lessons-learned-from-the-study-of-masturbation-and-its-comorbidity-with-psychiatric-disorders-in-children-the-first-analytic-study
#6
Ashraf Tashakori, Atefeh Safavi, Sorour Neamatpour
BACKGROUND: The main source of information about children's masturbation is more on the basis of case reports. Due to the lack of consistent and accurate information. OBJECTIVE: This study aimed to determine prevalence and underlying factors of masturbation and its comorbidity with psychiatric disorders in children. METHODS: In this descriptive-analytical study, among the children referred to the Pediatrics Clinic of Psychiatric Ward, Golestan Hospital, Ahvaz, Southwest Iran, 98 children were selected by convenience sampling in 2014...
April 2017: Electronic Physician
https://www.readbyqxmd.com/read/28605629/analytic-information-processing-style-in-epilepsy-patients
#7
Marzia Buonfiglio, Francesco Di Sabato, Silvia Mandillo, Mariarita Albini, Carlo Di Bonaventura, Annateresa Giallonardo, Giuliano Avanzini
Relevant to the study of epileptogenesis is learning processing, given the pivotal role that neuroplasticity assumes in both mechanisms. Recently, evoked potential analyses showed a link between analytic cognitive style and altered neural excitability in both migraine and healthy subjects, regardless of cognitive impairment or psychological disorders. In this study we evaluated analytic/global and visual/auditory perceptual dimensions of cognitive style in patients with epilepsy. Twenty-five cryptogenic temporal lobe epilepsy (TLE) patients matched with 25 idiopathic generalized epilepsy (IGE) sufferers and 25 healthy volunteers were recruited and participated in three cognitive style tests: "Sternberg-Wagner Self-Assessment Inventory", the C...
June 9, 2017: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/28603434/investigating-a-self-scoring-interview-simulation-for-learning-and-assessment-in-the-medical-consultation
#8
Catherine Bruen, Clarence Kreiter, Vincent Wade, Teresa Pawlikowska
Experience with simulated patients supports undergraduate learning of medical consultation skills. Adaptive simulations are being introduced into this environment. The authors investigate whether it can underpin valid and reliable assessment by conducting a generalizability analysis using IT data analytics from the interaction of medical students (in psychiatry) with adaptive simulations to explore the feasibility of adaptive simulations for supporting automated learning and assessment. The generalizability (G) study was focused on two clinically relevant variables: clinical decision points and communication skills...
2017: Advances in Medical Education and Practice
https://www.readbyqxmd.com/read/28600250/rclens-interactive-rare-category-exploration-and-identification
#9
Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao
Rare category identification is an important task in many application domains, ranging from network security, to financial fraud detection, to personalized medicine. These are all applications which require the discovery and characterization of sets of rare but structurally-similar data entities which are obscured within a larger but structurally different dataset. This paper introduces RCLens, a visual analytics system designed to support user-guided rare category exploration and identification. RCLens adopts a novel active learning-based algorithm to iteratively identify more accurate rare categories in response to user-provided feedback...
June 6, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28596704/learning-while-re-configuring-business-model-innovation-processes-in-established-firms
#10
Hans Berends, Armand Smits, Isabelle Reymen, Ksenia Podoynitsyna
This study addresses the question of how established organizations develop new business models over time, using a process research approach to trace how four business model innovation trajectories unfold. With organizational learning as analytical lens, we discern two process patterns: "drifting" starts with an emphasis on experiential learning and shifts later to cognitive search; "leaping," in contrast, starts with an emphasis on cognitive search and shifts later to experiential learning. Both drifting and leaping can result in radical business model innovations, while their occurrence depends on whether a new business model takes off from an existing model and when it goes into operation...
August 2016: Strateg Organ
https://www.readbyqxmd.com/read/28589119/a-light-bulb-moment-in-understanding-public-health-for-undergraduate-students-evaluation-of-the-experiential-this-is-public-health-photo-essay-task
#11
Kate Joanne Dundas, Vibeke Hansen, Suzanne Outram, Erica L James
A lack of understanding of the importance of public health both within the community and in the tertiary education setting is a significant impediment to improvement in population health. The international campaign "This is Public Health" (TIPH) has been promoted widely as a strategy to increase community awareness and attract and inspire the next generation of public health professionals. This paper describes and evaluates student perceptions of a TIPH photo essay and reflective task in order to explore the pedagogical and learning outcomes related to undergraduate students' public health knowledge...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28589118/innovative-programmable-bio-nano-chip-digitizes-biology-using-sensors-that-learn-bridging-biomarker-discovery-and-clinical-implementation
#12
REVIEW
Nicolaos J Christodoulides, Michael P McRae, Timothy J Abram, Glennon W Simmons, John T McDevitt
The lack of standard tools and methodologies and the absence of a streamlined multimarker approval process have hindered the translation rate of new biomarkers into clinical practice for a variety of diseases afflicting humankind. Advanced novel technologies with superior analytical performance and reduced reagent costs, like the programmable bio-nano-chip system featured in this article, have potential to change the delivery of healthcare. This universal platform system has the capacity to digitize biology, resulting in a sensor modality with a capacity to learn...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28585051/the-role-of-the-putamen-in-language-a-meta-analytic-connectivity-modeling-study
#13
Nestor Viñas-Guasch, Yan Jing Wu
The putamen is a subcortical structure that forms part of the dorsal striatum of basal ganglia, and has traditionally been associated with reinforcement learning and motor control, including speech articulation. However, recent studies have shown involvement of the left putamen in other language functions such as bilingual language processing (Abutalebi et al. 2012) and production, with some authors arguing for functional segregation of anterior and posterior putamen (Oberhuber et al. 2013). A further step in exploring the role of putamen in language would involve identifying the network of coactivations of not only the left, but also the right putamen, given the involvement of right hemisphere in high order language functions (Vigneau et al...
June 5, 2017: Brain Structure & Function
https://www.readbyqxmd.com/read/28569238/analyzing-breath-samples-of-hypoglycemic-events-in-type-1-diabetes-patients-towards-developing-an-alternative-to-diabetes-alert-dogs
#14
Amanda P Siegel, Ali Daneshkhah, Dana S Hardin, Sudhir Shrestha, Kody Varahramyan, Mangilal Agarwal
Diabetes is a disease that involves dysregulation of metabolic processes. Patients with type 1 diabetes (T1D) require insulin injections and measured food intake to maintain clinical stability, manually tracking their results by measuring blood glucose levels. Low blood glucose levels, hypoglycemia, can be extremely dangerous and can result in seizures, coma, or even death. Canines trained as diabetes alert dogs (DADs) have demonstrated the ability to detect hypoglycemia from breath, which led us to hypothesize that hypoglycemia, a metabolic dysregulation leading to low blood glucose levels, could be identified through analyzing volatile organic compounds (VOCs) contained within breath...
June 1, 2017: Journal of Breath Research
https://www.readbyqxmd.com/read/28566328/somatic-mutations-drive-distinct-imaging-phenotypes-in-lung-cancer
#15
Emmanuel Rios Velazquez, Chintan Parmar, Ying Liu, Thibaud P Coroller, Gisele Cruz, Olya Stringfield, Zhaoxiang Ye, G Mike Makrigiorgos, Fiona M M Fennessy, Raymond H Mak, Robert J Gillies, John Quackenbush, Hugo Aerts
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific mutations, artificial intelligence (AI) methods can automatically quantify phenotypic characters by using predefined, engineered algorithms or automatic deep-learning methods, a process also known as radiomics. Here we demonstrate how imaging phenotypes can be connected to somatic mutations through an integrated analysis of independent datasets of 763 lung adenocarcinoma patients with somatic mutation testing and engineered computed tomography (CT) image analytics...
May 31, 2017: Cancer Research
https://www.readbyqxmd.com/read/28566139/arithmetic-in-the-developing-brain-a-review-of-brain-imaging-studies
#16
REVIEW
Lien Peters, Bert De Smedt
Brain imaging studies on academic achievement offer an exciting window on experience-dependent cortical plasticity, as they allow us to understand how developing brains change when children acquire culturally transmitted skills. This contribution focuses on the learning of arithmetic, which is quintessential to mathematical development. The nascent body of brain imaging studies reveals that arithmetic recruits a large set of interconnected areas, including prefrontal, posterior parietal, occipito-temporal and hippocampal areas...
May 17, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/28562815/health-conditions-and-memory-performance-a-study-with-older-adult-women
#17
Alice Milani Nespollo, Samira Reschetti Marcon, Nathalie Vilma Pollo de Lima, Tatiane Lebre Dias, Mariano Martínez Espinosa
Objective: to verify the correlation between health condition and memory performance of older adult women in the community. Method: Analytical cross-sectional study developed with 28 older adult women living in Cuiabá-MT. They answered the Mini-Mental State Examination (MMSE), and a shortened Geriatric Depression Scale (GDS-15) to screen for dementia and depression symptoms. Memory skills were assessed through Rey Auditory Verbal Learning Test (RAVLT). Results: The mean age was 66...
May 2017: Revista Brasileira de Enfermagem
https://www.readbyqxmd.com/read/28560871/forecasting-chronic-diseases-using-data-fusion
#18
Evrim Acar, Gözde Gürdeniz, Francesco Savorani, Louise Hansen, Anja Olsen, Anne Tjønneland, Lars Ove Dragsted, Rasmus Bro
Data fusion, that is, extracting information through the fusion of complementary data sets, is a topic of great interest in metabolomics because analytical platforms such as liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy commonly used for chemical profiling of biofluids provide complementary information. In this study, with a goal of forecasting acute coronary syndrome (ACS), breast cancer, and colon cancer, we jointly analyzed LC-MS, NMR measurements of plasma samples, and the metadata corresponding to the lifestyle of participants...
June 9, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28559866/how-do-b-learning-and-learning-patterns-influence-learning-outcomes
#19
María Consuelo Sáiz Manzanares, Raúl Marticorena Sánchez, César Ignacio García Osorio, José F Díez-Pastor
Learning Management System (LMS) platforms provide a wealth of information on the learning patterns of students. Learning Analytics (LA) techniques permit the analysis of the logs or records of the activities of both students and teachers on the on-line platform. The learning patterns differ depending on the type of Blended Learning (B-Learning). In this study, we analyse: (1) whether significant differences exist between the learning outcomes of students and their learning patterns on the platform, depending on the type of B-Learning [Replacement blend (RB) vs...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28555102/a-model-of-fast-hebbian-spike-latency-normalization
#20
Hafsteinn Einarsson, Marcelo M Gauy, Johannes Lengler, Angelika Steger
Hebbian changes of excitatory synapses are driven by and enhance correlations between pre- and postsynaptic neuronal activations, forming a positive feedback loop that can lead to instability in simulated neural networks. Because Hebbian learning may occur on time scales of seconds to minutes, it is conjectured that some form of fast stabilization of neural firing is necessary to avoid runaway of excitation, but both the theoretical underpinning and the biological implementation for such homeostatic mechanism are to be fully investigated...
2017: Frontiers in Computational Neuroscience
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