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https://www.readbyqxmd.com/read/29149241/statistical-learning-in-specific-language-impairment-a-meta-analysis
#1
Imme Lammertink, Paul Boersma, Frank Wijnen, Judith Rispens
Purpose: The current meta-analysis provides a quantitative overview of published and unpublished studies on statistical learning in the auditory verbal domain in people with and without specific language impairment (SLI). The database used for the meta-analysis is accessible online and open to updates (Community-Augmented Meta-Analysis), which facilitates the accumulation and evaluation of previous and future studies on statistical learning in this domain. Method: A systematic literature search identified 10 unique experiments examining auditory verbal statistical learning in 213 participants with SLI and 363 without SLI, aged between 6 and 19 years...
November 17, 2017: Journal of Speech, Language, and Hearing Research: JSLHR
https://www.readbyqxmd.com/read/29148136/effects-of-sensitive-electrical-stimulation-based-somatosensory-cueing-in-parkinson-s-disease-gait-and-freezing-of-gait-assessment
#2
Benoît Sijobert, Christine Azevedo, David Andreu, Claudia Verna, Christian Geny
This study aims to investigate the effect of a somatosensory cueing on gait disorders in subjects with Parkinson's disease (PD). After having performed stepping in place and timed up and go assessing tasks, 13 participants with PD were equipped with an electrical stimulator and an inertial measurement unit (IMU) located under the lateral malleolus on the sagittal plane. Electrodes were positioned under the arch of the foot and electrical stimulation (ES) parameters (five 500 µs/phase charge-balanced biphasic pulses delivered at 200 Hz, repeated four times at 10 Hz) adjusted to deliver a sensitive signal...
November 2017: Artificial Organs
https://www.readbyqxmd.com/read/29147143/analyzing-text-recognition-from-tactually-evoked-eeg
#3
A Khasnobish, S Datta, R Bose, D N Tibarewala, A Konar
Tactual exploration of objects produce specific patterns in the human brain and hence objects can be recognized by analyzing brain signals during tactile exploration. The present work aims at analyzing EEG signals online for recognition of embossed texts by tactual exploration. EEG signals are acquired from the parietal region over the somatosensory cortex of blindfolded healthy subjects while they tactually explored embossed texts, including symbols, numbers, and alphabets. Classifiers based on the principle of supervised learning are trained on the extracted EEG feature space, comprising three features, namely, adaptive autoregressive parameters, Hurst exponents, and power spectral density, to recognize the respective texts...
December 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29146666/students-in-fully-online-programs-report-more-positive-attitudes-toward-science-than-students-in-traditional-in-person-programs
#4
Viranga Perera, Chris Mead, Sanlyn Buxner, David Lopatto, Lev Horodyskyj, Steven Semken, Ariel D Anbar
Following the growth of online, higher-education courses, academic institutions are now offering fully online degree programs. Yet it is not clear how students who enroll in fully online degree programs are similar to those students who enroll in in-person ("traditional") degree programs. Because previous work has shown students' attitudes toward science can affect their performance in a course, it is valuable to ask how attitudes toward science differ between these two populations. We studied students who completed a fully online astrobiology course...
2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/29145086/active-learning-for-classifying-data-streams-with-unknown-number-of-classes
#5
Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia
The classification of data streams is an interesting but also a challenging problem. A data stream may grow infinitely making it impractical for storage prior to processing and classification. Due to its dynamic nature, the underlying distribution of the data stream may change over time resulting in the so-called concept drift or the possible emergence and fading of classes, known as concept evolution. In addition, acquiring labels of data samples in a stream is admittedly expensive if not infeasible at all...
October 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29138613/medical-student-involvement-in-health-policy-roles
#6
Bassit Malik, Utkarsh Ojha, Hassan Khan, Farzana Begum, Harun Khan, Qasim Malik
Objectives: A teaching curriculum in health policy may be well established in medical school; however, an emphasis on applying taught principles via participation in health policy roles is less defined. We undertook a study to explore medical student participation in health policy roles. Design and setting: An anonymous online survey via convenience sampling was conducted in the UK. Participants: A total of 112 students from six medical schools participated in the study...
2017: Advances in Medical Education and Practice
https://www.readbyqxmd.com/read/29137837/online-game-based-education-for-melanoma-recognition-a-pilot-study
#7
Nishita Maganty, Muneeb Ilyas, Nan Zhang, Amit Sharma
OBJECTIVE: To evaluate the effectiveness of a game-based learning (GBL) intervention, Tapamole, in improving recognition of the features of melanoma (MM) compared to a written education intervention. METHODS: Tapamole, an online education intervention, was developed using GBL. Participants were voluntarily recruited from the Dermatology waiting room and randomized to three groups: game, pamphlet, and no intervention. Participants completed a pre-intervention survey, post-intervention survey, and test on MM recognition...
November 9, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/29136092/microrpm-a-microrna-prediction-model-based-only-on-plant-small-rna-sequencing-data
#8
Kuan-Chien Tseng, Yi-Fan Chiang-Hsieh, Hsuan Pai, Chi-Nga Chow, Shu-Chuan Lee, Han-Qin Zheng, Po-Li Kuo, Guan-Zhen Li, Yu-Cheng Hung, Na-Sheng Lin, Wen-Chi Chang
Motivation: MicroRNAs (miRNAs) are endogenous non-coding small RNAs (of about 22 nucleotides), which play an important role in the post-transcriptional regulation of gene expression via either mRNA cleavage or translation inhibition. Several machine learning-based approaches have been developed to identify novel miRNAs from next generation sequencing (NGS) data. Typically, precursor/genomic sequences are required as references for most methods. However, the non-availability of genomic sequences is often a limitation in miRNA discovery in non-model plants...
November 9, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29135425/internationalization-in-an-occupational-therapy-curriculum-a-philippine-american-pilot-collaboration
#9
Maria Concepcion C Cabatan, Lenin C Grajo
OBJECTIVE: This study is a pilot implementation of an Internationalization at Home (IaH) teaching and learning collaboration to enhance intercultural learning and understanding of concepts of occupation in two cohorts of occupational science and occupational therapy students from the Philippines and the United States. METHOD: In this collective case study, 149 students (Cohort 1, n = 65; Cohort 2, n = 84) participated. The collaboration included virtual conversations among students, faculty presentations, reflective assignments, and completion of an anonymous online survey...
November 2017: American Journal of Occupational Therapy: Official Publication of the American Occupational Therapy Association
https://www.readbyqxmd.com/read/29135365/deep-learning-to-classify-radiology-free-text-reports
#10
Matthew C Chen, Robyn L Ball, Lingyao Yang, Nathaniel Moradzadeh, Brian E Chapman, David B Larson, Curtis P Langlotz, Timothy J Amrhein, Matthew P Lungren
Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processing (NLP) model in extracting pulmonary embolism (PE) findings from thoracic computed tomography (CT) reports from two institutions. Materials and Methods Contrast material-enhanced CT examinations of the chest performed between January 1, 1998, and January 1, 2016, were selected. Annotations by two human radiologists were made for three categories: the presence, chronicity, and location of PE...
November 13, 2017: Radiology
https://www.readbyqxmd.com/read/29133950/treating-a-novel-plasticity-defect-rescues-episodic-memory-in-fragile-x-model-mice
#11
W Wang, B M Cox, Y Jia, A A Le, C D Cox, K M Jung, B Hou, D Piomelli, C M Gall, Gary Lynch
Episodic memory, a fundamental component of human cognition, is significantly impaired in autism. We believe we report the first evidence for this problem in the Fmr1-knockout (KO) mouse model of Fragile X syndrome and describe potentially treatable underlying causes. The hippocampus is critical for the formation and use of episodes, with semantic (cue identity) information relayed to the structure via the lateral perforant path (LPP). The unusual form of synaptic plasticity expressed by the LPP (lppLTP) was profoundly impaired in Fmr1-KOs relative to wild-type mice...
November 14, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/29131347/critical-care-ultrasound-a-national-survey-across-specialties
#12
Jeffrey R Stowell, Ross Kessler, Resa E Lewiss, Igor Barjaktarevic, Bikash Bhattarai, Napatkamon Ayutyanont, John L Kendall
PURPOSE: Management of the critically ill patient requires rapid assessment and differentiation. Point-of-care ultrasound (POCUS) improves diagnostic accuracy and guides resuscitation. This study sought to describe the use of critical care related POCUS amongst different specialties. METHODS: This study was conducted as an online 18-question survey. Survey questions queried respondent demographics, preferences for POCUS use, and barriers to implementation. RESULTS: 2735 recipients received and viewed the survey with 416 (15...
November 13, 2017: Journal of Clinical Ultrasound: JCU
https://www.readbyqxmd.com/read/29129456/a-canadian-cross-sectional-survey-on-psychosocial-supports-for-people-living-type-1-or-2-diabetes-health-care-providers-awareness-capacity-and-motivation
#13
Jennica Nichols, Michael Vallis, Stephanie Boutette, Carolyn Gall Casey, Catherine H Yu
OBJECTIVES: Addressing psychosocial issues is critical for diabetes self-management. This work explores health-care professionals' (HCPs') 1) perceived relevance of various psychosocial issues in diabetes management and 2) confidence in working on these issues within their services. METHODS: An online cross-sectional survey was developed based on the Capacity-Opportunity-Motivation Behaviour Model. It assessed self-rated confidence in supporting patients with psychosocial issues (capability), perceived relevance of these issues (motivation) and facilitators of skill development (opportunity)...
November 9, 2017: Canadian Journal of Diabetes
https://www.readbyqxmd.com/read/29128857/emotionally-laden-impulsivity-interacts-with-affect-in-predicting-addictive-use-of-online-sexual-activity-in-men
#14
Aline Wéry, Jory Deleuze, Natale Canale, Joël Billieux
The interest in studying addictive use of online sexual activities (OSA) has grown sharply over the last decade. Despite the burgeoning number of studies conceptualizing the excessive use of OSA as an addictive disorder, few have tested its relations to impulsivity, which is known to constitute a hallmark of addictive behaviors. To address this missing gap in the literature, we tested the relationships between addictive OSA use, impulsivity traits, and affect among a convenience sample of men (N=182; age, M=29...
October 16, 2017: Comprehensive Psychiatry
https://www.readbyqxmd.com/read/29126405/electronic-portfolio-use-in-pediatric-residency-and-perceived-efficacy-as-a-tool-for-teaching-lifelong-learning
#15
Annabel Frank, Kimberly Gifford
BACKGROUND: Residency programs use electronic portfolios (efolios) to organize data, track resident performance, and sometimes teach and assess lifelong learning (LLL) skills. Published studies on efolios in graduate medical education are mostly descriptions of implementation at individual institutions. METHODS: An anonymous online survey was sent to 199 pediatric residency program directors across the United States. Efolio usage patterns were described and compared between program directors that perceived efolios effective at fostering LLL and those that did not...
November 10, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/29126375/a-clinical-survey-about-commercial-games-in-lower-limb-prosthetic-rehabilitation
#16
Bita Imam, William C Miller, Heather C Finlayson, Janice J Eng, Tal Jarus
BACKGROUND: Despite the popularity of commercial games in lower limb prosthetic rehabilitation, data about their prevalence of use as well as therapists' perspectives about these games are still lacking. OBJECTIVES: To learn about the prevalence of use of commercial games in lower limb prosthetic rehabilitation and therapists' perspectives about these games. STUDY DESIGN: Cross-sectional. METHODS: An online survey was sent to physical and occupational therapists across prosthetic rehabilitation facilities in Canada...
November 1, 2017: Prosthetics and Orthotics International
https://www.readbyqxmd.com/read/29126286/deep-learning-for-tumor-classification-in-imaging-mass-spectrometry
#17
Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maass
Motivation: Tumor classification using Imaging Mass Spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to fully process the data. Since mass spectra exhibit certain structural similarities to image data, deep learning may offer a promising strategy for classification of IMS data as it has been successfully applied to image classification. Results: Methodologically, we propose an adapted architecture based on deep convolutional networks to handle the characteristics of mass spectrometry data, as well as a strategy to interpret the learned model in the spectral domain based on a sensitivity analysis...
November 8, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29125747/alchemical-free-energy-calculations-for-nucleotide-mutations-in-protein-dna-complexes
#18
Vytautas Gapsys, Bert L de Groot
Nucleotide sequence dependent interactions between proteins and DNA are responsible for a wide range of gene regulatory functions. Accurate and generalizable methods to evaluate the strength of protein-DNA binding have been long sought after. While numerous computational approaches have been developed, most of them require fitting parameters to experimental data to a certain degree, e.g. machine learning algorithms or knowledge based statistical potentials. Molecular dynamics based free energy calculations offer a robust, system independent, first principles based method to calculate free energy differences upon nucleotide mutation...
November 10, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/29122808/study-design-and-protocol-for-a-mixed-methods-evaluation-of-an-intervention-to-reduce-and-break-up-sitting-time-in-primary-school-classrooms-in-the-uk-the-class-pal-physically-active-learning-programme
#19
Ash C Routen, Stuart J H Biddle, Danielle H Bodicoat, Lorraine Cale, Stacy Clemes, Charlotte L Edwardson, Cris Glazebrook, Deirdre M Harrington, Kamlesh Khunti, Natalie Pearson, Jo Salmon, Lauren B Sherar
INTRODUCTION: Children engage in a high volume of sitting in school, particularly in the classroom. A number of strategies, such as physically active lessons (termed movement integration (MI)), have been developed to integrate physical activity into this learning environment; however, no single approach is likely to meet the needs of all pupils and teachers. This protocol outlines an implementation study of a primary school-based MI intervention: CLASS PAL (Physically Active Learning) programme...
November 8, 2017: BMJ Open
https://www.readbyqxmd.com/read/29122472/can-radiologists-learn-from-airport-baggage-screening-a-survey-about-using-fictional-patients-for-quality-assurance
#20
Andrew Phelps, Andrew L Callen, Peter Marcovici, David M Naeger, John Mongan, Emily M Webb
RATIONALE AND OBJECTIVES: For both airport baggage screeners and radiologists, low target prevalence is associated with low detection rate, a phenomenon known as "prevalence effect." In airport baggage screening, the target prevalence is artificially increased with fictional weapons that are digitally superimposed on real baggage. This strategy improves the detection rate of real weapons and also allows airport supervisors to monitor screener performance. A similar strategy using fictional patients could be applied in radiology...
November 6, 2017: Academic Radiology
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