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https://www.readbyqxmd.com/read/29352748/use-of-e-learning-in-clinical-clerkships-effects-on-acquisition-of-dermatological-knowledge-and-learning-processes
#1
Frederike Fransen, Herm Martens, Ivo Nagtzaam, Sylvia Heeneman
Objectives: To obtain a deeper understanding of how the e-learning program, Education in Dermatology (ED), affects the acquisition of dermatological knowledge and the underlying learning processes of medical students in their clinical phase. Methods: The study used a mixed method design with a convergent parallel collection of data. Medical students (n=62) from Maastricht University (The Netherlands) were randomized to either a conventional teaching group (control group n=30) or conventional teaching plus the e-learning program (application on smartphone) group (e-learning group n=32)...
January 17, 2018: International Journal of Medical Education
https://www.readbyqxmd.com/read/29352730/teaching-of-anatomical-sciences-a-blended-learning-approach
#2
REVIEW
Mohammed K Khalil, Eiman M Abdel Meguid, Ihsan E Elkhider
Blended learning is the integration of different learning approaches, new technologies and activities that combine traditional face-to-face teaching methods with authentic online methodologies. Although advances in educational technology have helped to expand the selection of different pedagogies, the teaching of anatomical sciences has been challenged by implementation difficulties and other limitations. These challenges are reported to include lack of time, costs, and lack of qualified teachers. Easy access to online information and advances in technology make it possible to resolve these limitations by adopting blended learning approaches...
January 20, 2018: Clinical Anatomy
https://www.readbyqxmd.com/read/29352548/prediction-of-psychosis-across-protocols-and-risk-cohorts-using-automated-language-analysis
#3
Cheryl M Corcoran, Facundo Carrillo, Diego Fernández-Slezak, Gillinder Bedi, Casimir Klim, Daniel C Javitt, Carrie E Bearden, Guillermo A Cecchi
Language and speech are the primary source of data for psychiatrists to diagnose and treat mental disorders. In psychosis, the very structure of language can be disturbed, including semantic coherence (e.g., derailment and tangentiality) and syntactic complexity (e.g., concreteness). Subtle disturbances in language are evident in schizophrenia even prior to first psychosis onset, during prodromal stages. Using computer-based natural language processing analyses, we previously showed that, among English-speaking clinical (e...
February 2018: World Psychiatry: Official Journal of the World Psychiatric Association (WPA)
https://www.readbyqxmd.com/read/29352346/the-evolution-of-breast-reduction-publications-a-bibliometric-analysis
#4
Ümran Muslu
OBJECTIVE: This study aims to make a bibliometric analysis of the studies on breast reduction (BR) between the years 1980 and 2016 and identify important studies through trend topics as well as active authors, countries, universities, scientific journals, and citation and co-citation analyses about BR. BACKGROUND: Although BR looks like one of the cosmetic surgeries performed in order to restore the woman's appearance, in fact it is a reconstructive surgery that eliminates back pain, stance disorder, headache, shoulder pain, back and cervical disk hernia, difficulty in breathing, hollowness caused by bra straps, hygiene problems under breasts (e...
January 19, 2018: Aesthetic Plastic Surgery
https://www.readbyqxmd.com/read/29352029/dissociable-temporal-effects-of-bupropion-on-behavioural-measures-of-emotional-and-reward-processing-in-depression
#5
Annabel E L Walsh, Michael Browning, Wayne C Drevets, Maura Furey, Catherine J Harmer
Antidepressants remediate negative biases in emotional processing early in treatment, prior to mood improvement. However, the effects on reward processing potentially relevant to the treatment of anhedonia are less clear. Here we investigate the early and sustained effects of the dopamine and noradrenaline reuptake inhibitor bupropion on behavioural measures of emotional and reward processing in currently depressed individuals. Forty-six currently depressed patients and 42 healthy controls participated in a repeated measures study, during which open-label bupropion was administered to only the patient group over a six week period without a placebo group...
March 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/29352025/state-of-the-art-and-future-directions-for-extinction-as-a-translational-model-for-fear-and-anxiety
#6
REVIEW
Michelle G Craske, Dirk Hermans, Bram Vervliet
Through advances in both basic and clinical scientific research, Pavlovian fear conditioning and extinction have become an exemplary translational model for understanding and treating anxiety disorders. Discoveries in associative and neurobiological mechanisms underlying extinction have informed techniques for optimizing exposure therapy that enhance the formation of inhibitory associations and their consolidation and retrieval over time and context. Strategies that enhance formation include maximizing prediction-error correction by violating expectancies, deepened extinction, occasional reinforced extinction, attentional control and removal of safety signals/behaviours...
March 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/29351772/effect-of-an-interactive-e-learning-tool-for-delirium-on-patient-and-nursing-outcomes-in-a-geriatric-hospital-setting-findings-of-a-before-after-study
#7
Elke Detroyer, Fabienne Dobbels, Andrew Teodorczuk, Mieke Deschodt, Yves Depaifve, Etienne Joosten, Koen Milisen
BACKGROUND: Education of healthcare workers is a core element of multicomponent delirium strategies to improve delirium care and, consequently, patient outcomes. However, traditional educational strategies are notoriously difficult to implement. E-learning is hypothesised to be easier and more cost effective, but research evaluating effectiveness of delirium education through e-learning is scarce at present. Aim is to determine the effect of a nursing e-learning tool for delirium on: (1) in-hospital prevalence, duration and severity of delirium or mortality in hospitalized geriatric patients, and (2) geriatric nurses' knowledge and recognition regarding delirium...
January 19, 2018: BMC Geriatrics
https://www.readbyqxmd.com/read/29351346/the-congenital-heart-disease-genetic-network-study-cohort-description
#8
Thanh T Hoang, Elizabeth Goldmuntz, Amy E Roberts, Wendy K Chung, Jennie K Kline, John E Deanfield, Alessandro Giardini, Adolfo Aleman, Bruce D Gelb, Meghan Mac Neal, George A Porter, Richard Kim, Martina Brueckner, Richard P Lifton, Sharon Edman, Stacy Woyciechowski, Laura E Mitchell, A J Agopian
The Pediatric Cardiac Genomics Consortium (PCGC) designed the Congenital Heart Disease Genetic Network Study to provide phenotype and genotype data for a large congenital heart defects (CHDs) cohort. This article describes the PCGC cohort, overall and by major types of CHDs (e.g., conotruncal defects) and subtypes of conotrucal heart defects (e.g., tetralogy of Fallot) and left ventricular outflow tract obstructions (e.g., hypoplastic left heart syndrome). Cases with CHDs were recruited through ten sites, 2010-2014...
2018: PloS One
https://www.readbyqxmd.com/read/29351262/imu-to-segment-assignment-and-orientation-alignment-for-the-lower-body-using-deep-learning
#9
Tobias Zimmermann, Bertram Taetz, Gabriele Bleser
Human body motion analysis based on wearable inertial measurement units (IMUs) receives a lot of attention from both the research community and the and industrial community. This is due to the significant role in, for instance, mobile health systems, sports and human computer interaction. In sensor based activity recognition, one of the major issues for obtaining reliable results is the sensor placement/assignment on the body. For inertial motion capture (joint kinematics estimation) and analysis, the IMU-to-segment (I2S) assignment and alignment are central issues to obtain biomechanical joint angles...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29349540/self-dilation-for-therapy-resistant-benign-esophageal-strictures-towards-a-systematic-approach
#10
Emo E van Halsema, Chantal A 't Hoen, Patricia S de Koning, Wilda D Rosmolen, Jeanin E van Hooft, Jacques J Bergman
BACKGROUND: Patients with therapy-resistant benign esophageal strictures (TRBES) suffer from chronic dysphagia and generally require repeated endoscopic dilations. For selected patients, esophageal self-dilation may improve patient's autonomy and reduce the number of endoscopic dilations. We evaluated the clinical course and outcomes of patients who started esophageal self-dilation at our institution. METHODS: This study was a retrospective case series of patients with TRBES who started esophageal self-dilation between 2012 and 2016 at the Academic Medical Center Amsterdam...
January 18, 2018: Surgical Endoscopy
https://www.readbyqxmd.com/read/29348681/impact-of-a-five-dimensional-framework-on-r-d-productivity-at-astrazeneca
#11
REVIEW
Paul Morgan, Dean G Brown, Simon Lennard, Mark J Anderton, J Carl Barrett, Ulf Eriksson, Mark Fidock, Bengt Hamrén, Anthony Johnson, Ruth E March, James Matcham, Jerome Mettetal, David J Nicholls, Stefan Platz, Steve Rees, Michael A Snowden, Menelas N Pangalos
In 2011, AstraZeneca embarked on a major revision of its research and development (R&D) strategy with the aim of improving R&D productivity, which was below industry averages in 2005-2010. A cornerstone of the revised strategy was to focus decision-making on five technical determinants (the right target, right tissue, right safety, right patient and right commercial potential). In this article, we describe the progress made using this '5R framework' in the hope that our experience could be useful to other companies tackling R&D productivity issues...
January 19, 2018: Nature Reviews. Drug Discovery
https://www.readbyqxmd.com/read/29348208/learning-to-make-external-sensory-stimulus-predictions-using-internal-correlations-in-populations-of-neurons
#12
Audrey J Sederberg, Jason N MacLean, Stephanie E Palmer
To compensate for sensory processing delays, the visual system must make predictions to ensure timely and appropriate behaviors. Recent work has found predictive information about the stimulus in neural populations early in vision processing, starting in the retina. However, to utilize this information, cells downstream must be able to read out the predictive information from the spiking activity of retinal ganglion cells. Here we investigate whether a downstream cell could learn efficient encoding of predictive information in its inputs from the correlations in the inputs themselves, in the absence of other instructive signals...
January 18, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29347794/publisher-s-note-discovering-phases-phase-transitions-and-crossovers-through-unsupervised-machine-learning-a-critical-examination-phys-rev-e-95-062122-2017
#13
Wenjian Hu, Rajiv R P Singh, Richard T Scalettar
This corrects the article DOI: 10.1103/PhysRevE.95.062122.
November 2017: Physical Review. E
https://www.readbyqxmd.com/read/29346708/role-of-comprehension-on-performance-at-higher-levels-of-bloom-s-taxonomy-findings-from-assessments-of-healthcare-professional-students
#14
Anne-Marie A Verenna, Kim A Noble, Helen E Pearson, Susan M Miller
The first four levels of Bloom's taxonomy were used to create quiz questions designed to assess student learning of the gross anatomy, histology, and physiology of the gastrointestinal (GI) system. Information on GI histology and physiology was presented to separate samples of medical, dental, and podiatry students in computer based tutorials where the information from the two disciplines was presented either separately or in an integrated fashion. All students were taught GI gross anatomy prior to this study by course faculty as part of the required curriculum of their respective program...
January 18, 2018: Anatomical Sciences Education
https://www.readbyqxmd.com/read/29346319/hierarchical-discriminant-analysis
#15
Di Lu, Chuntao Ding, Jinliang Xu, Shangguang Wang
The Internet of Things (IoT) generates lots of high-dimensional sensor intelligent data. The processing of high-dimensional data (e.g., data visualization and data classification) is very difficult, so it requires excellent subspace learning algorithms to learn a latent subspace to preserve the intrinsic structure of the high-dimensional data, and abandon the least useful information in the subsequent processing. In this context, many subspace learning algorithms have been presented. However, in the process of transforming the high-dimensional data into the low-dimensional space, the huge difference between the sum of inter-class distance and the sum of intra-class distance for distinct data may cause a bias problem...
January 18, 2018: Sensors
https://www.readbyqxmd.com/read/29346095/feature-map-quality-score-estimation-through-regression
#16
Ibrahim M H Rahman, Christopher Hollitt, Mengjie Zhang
Understanding the visual quality of a feature map plays a significant role in many active vision applications. Previous works mostly rely on object-level features, such as compactness, to estimate the quality score of a feature map. However, the compactness is leveraged on feature maps produced by salient object detection techniques where the maps tend to be compact. As a result, the compactness feature fails when the feature maps are blurry (e.g., fixation maps). In this paper, we regard the process of estimating the quality score of feature maps, specifically fixation maps, as a regression problem...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29346018/the-tortoise-and-the-hare-interactions-between-reinforcement-learning-and-working-memory
#17
Anne G E Collins
Learning to make rewarding choices in response to stimuli depends on a slow but steady process, reinforcement learning, and a fast and flexible, but capacity-limited process, working memory. Using both systems in parallel, with their contributions weighted based on performance, should allow us to leverage the best of each system: rapid early learning, supplemented by long-term robust acquisition. However, this assumes that using one process does not interfere with the other. We use computational modeling to investigate the interactions between the two processes in a behavioral experiment and show that working memory interferes with reinforcement learning...
January 18, 2018: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29345381/durable-lesion-formation-while-avoiding-esophageal-injury-during-ablation-of-atrial-fibrillation-lessons-learned-from-late-gadolinium-mr-imaging
#18
Mihail G Chelu, Alan K Morris, Eugene G Kholmovski, Jordan B King, Gagandeep Kaur, Michelle A Silver, Joshua E Cates, Frederick T Han, Nassir F Marrouche
INTRODUCTION: Adequate catheter/atrial tissue contact is critical for lesion formation during radiofrequency (RF) ablation of atrial fibrillation (AF). Late gadolinium enhancement magnetic resonance imaging (LGE-MRI) is a unique tool for the evaluation of lesion formation and detection of acute esophageal injury. METHODS: LGE-MRIs were obtained prior, within 24 hours of, and at 115±62 days after first AF ablation in 36 patients. The Visitag module of CARTO3 was used to collect contact force (CF) and duration from a CF sensing ablation catheter for each registered ablation point...
January 18, 2018: Journal of Cardiovascular Electrophysiology
https://www.readbyqxmd.com/read/29345329/generating-quantitative-cell-identity-labels-with-marker-enrichment-modeling-mem
#19
Kirsten E Diggins, Jocelyn S Gandelman, Caroline E Roe, Jonathan M Irish
Multiplexed single-cell experimental techniques like mass cytometry measure 40 or more features and enable deep characterization of well-known and novel cell populations. However, traditional data analysis techniques rely extensively on human experts or prior knowledge, and novel machine learning algorithms may generate unexpected population groupings. Marker enrichment modeling (MEM) creates quantitative identity labels based on features enriched in a population relative to a reference. While developed for cell type analysis, MEM labels can be generated for a wide range of multidimensional data types, and MEM works effectively with output from expert analysis and diverse machine learning algorithms...
January 18, 2018: Current Protocols in Cytometry
https://www.readbyqxmd.com/read/29345224/therapy-interventions-for-children-with-neurodisabilities-a-qualitative-scoping-study
#20
Bryony Beresford, Susan Clarke, Jane Maddison
BACKGROUND: Therapy interventions emerged four times in the top 10 research priorities in a James Lind Alliance research prioritisation exercise for children with neurodisabilities (Morris C, Simkiss D, Busk M, Morris M, Allard A, Denness J, et al. Setting research priorities to improve the health of children and young people with neurodisability: a British Academy of Childhood Disability-James Lind Alliance Research Priority Setting Partnership. BMJ Open 2015;5:e006233). The National Institute for Health Research (NIHR) commissioned this study as part of an information-gathering exercise in response to this...
January 2018: Health Technology Assessment: HTA
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