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https://www.readbyqxmd.com/read/29045913/team-based-learning-in-nursing-and-midwifery-higher-education-a-systematic-review-of-the-evidence-for-change
#1
REVIEW
Chris Dearnley, Christine Rhodes, Peter Roberts, Pam Williams, Sarah Prenton
REVIEW AIM: The aim of this study is to review the evidence in relation to the experiences and outcomes of students on nursing and/or midwifery higher education programmes, who experience team based learning. REVIEW OBJECTIVES: To examine the relationship between team based learning and attainment for nursing and midwifery students in professional higher education. To examine the relationship between team based learning and student satisfaction for nurses and midwifery students in higher education...
September 28, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/29045275/medical-education-in-decentralized-settings-how-medical-students-contribute-to-health-care-in-10-sub-saharan-african-countries
#2
Zohray Talib, Susan van Schalkwyk, Ian Couper, Swaha Pattanaik, Khadija Turay, Atiene S Sagay, Rhona Baingana, Sarah Baird, Bernhard Gaede, Jehu Iputo, Minnie Kibore, Rachel Manongi, Antony Matsika, Mpho Mogodi, Jeremais Ramucesse, Heather Ross, Moses Simuyeba, Damen Haile-Mariam
PURPOSE: African medical schools are expanding, straining resources at tertiary health facilities. Decentralizing clinical training can alleviate this tension. This study assessed the impact of decentralized training and contribution of undergraduate medical students at health facilities. METHOD: Participants were from 11 Medical Education Partnership Initiative-funded medical schools in 10 African countries. Each school identified two clinical training sites-one rural and the other either peri-urban or urban...
October 17, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/29045194/testing-an-aac-system-that-transforms-pictograms-into-natural-language-with-persons-with-cerebral-palsy
#3
Joan Pahisa-Solé, Jordi Herrera-Joancomartí
In this paper, we describe a compansion system that transforms the telegraphic language that comes from the use of pictogram-based Augmentative and Alternative Communication (AAC) into natural language. The system was tested with 4 participants with severe cerebral palsy and ranging degrees of linguistic competence and intellectual disabilities. Participants had used pictogram-based AAC at least for the past 30 years each and presented a stable linguistic profile. During tests, which consisted in a total of 40 sessions, participants were able to learn new linguistic skills, such as the use of basic verb tenses, while using the compansion system, which proved a source of motivation...
October 18, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/29042394/effects-of-e-learning-in-a-continuing-education-context-on-nursing-care-a-review-of-systematic-qualitative-quantitative-and-mixed-studies-reviews-protocol
#4
Geneviève Rouleau, Marie-Pierre Gagnon, José Côté, Julie Payne-Gagnon, Emilie Hudson, Julien Bouix-Picasso, Carl-Ardy Dubois
INTRODUCTION: Continuing education (CE) is imperative to the future of professional nursing. The use of e-learning by registered nurses for CE is spreading. A review of systematic reviews will be conducted to develop a broad picture of the effects of e-learning in a CE context on nursing care. METHODS AND ANALYSIS: Systematic qualitative, quantitative and mixed studies reviews published in English, French or Spanish from 1 January 2006 will be included. The outcomes of interest will be extracted and analysed inductively and deductively from the Nursing Care Performance Framework; some themes include nursing resources, nurses' practice environment, processes, professional satisfaction, and nursing sensitive outcomes...
October 16, 2017: BMJ Open
https://www.readbyqxmd.com/read/29039722/instructional-insights-restructuring-the-fieldwork-experience-one-clinic-s-journey
#5
Sheila Wilson
Although there are standards for occupational therapy education, there are no universal standards for the affiliated fieldwork settings, only guidelines from the educational institutions. As a result, a student learning experience often varies dramatically from facility to facility. Several factors that may affect the clinical experience include the preparedness of a student, the willingness of a clinic to work through potential student challenges, and the theoretical foundation a clinic has built for disseminating occupational therapy practice skills...
October 17, 2017: Occupational Therapy in Health Care
https://www.readbyqxmd.com/read/29037112/peer-led-transformative-learning-approaches-increase-classroom-engagement-in-care-self-management-classes-during-inpatient-rehabilitation-of-individuals-with-spinal-cord-injury
#6
Julie Gassaway, Michael L Jones, W Mark Sweatman, Tamara Young
OBJECTIVE: Evaluate effects of revised education classes on classroom engagement during inpatient rehabilitation for individuals with spinal cord injury/disease (SCI/D). DESIGN: Multiple-baseline, quasi-experimental design with video recorded engagement observations during conventional and revised education classes; visual and statistical analysis of difference in positive engagement responses observed in classes using each approach. PARTICIPANTS/SETTING: 81 patients (72% male, 73% white, mean age 36 SD 15...
October 16, 2017: Journal of Spinal Cord Medicine
https://www.readbyqxmd.com/read/29036112/improving-color-constancy-by-discounting-the-variation-of-camera-spectral-sensitivity
#7
Shao-Bing Gao, Ming Zhang, Chao-Yi Li, Yong-Jie Li
It is an ill-posed problem to recover the true scene colors from a color biased image by discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same time. Most color constancy (CC) models have been designed to first estimate the illuminant color, which is then removed from the color biased image to obtain an image taken under white light, without the explicit consideration of CSS effect on CC. This paper first studies the CSS effect on illuminant estimation arising in the inter-dataset-based CC (inter-CC), i...
August 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/29035267/coastal-ocean-and-shelf-sea-biogeochemical-cycling-of-trace-elements-and-isotopes-lessons-learned-from-geotraces
#8
REVIEW
Matthew A Charette, Phoebe J Lam, Maeve C Lohan, Eun Young Kwon, Vanessa Hatje, Catherine Jeandel, Alan M Shiller, Gregory A Cutter, Alex Thomas, Philip W Boyd, William B Homoky, Angela Milne, Helmuth Thomas, Per S Andersson, Don Porcelli, Takahiro Tanaka, Walter Geibert, Frank Dehairs, Jordi Garcia-Orellana
Continental shelves and shelf seas play a central role in the global carbon cycle. However, their importance with respect to trace element and isotope (TEI) inputs to ocean basins is less well understood. Here, we present major findings on shelf TEI biogeochemistry from the GEOTRACES programme as well as a proof of concept for a new method to estimate shelf TEI fluxes. The case studies focus on advances in our understanding of TEI cycling in the Arctic, transformations within a major river estuary (Amazon), shelf sediment micronutrient fluxes and basin-scale estimates of submarine groundwater discharge...
November 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/29035233/gii-representation-based-cross-view-gait-recognition-by-discriminative-projection-with-list-wise-constraints
#9
Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao
Remote person identification by gait is one of the most important topics in the field of computer vision and pattern recognition. However, gait recognition suffers severely from the appearance variance caused by the view change. It is very common that gait recognition has a high performance when the view is fixed but the performance will have a sharp decrease when the view variance becomes significant. Existing approaches have tried all kinds of strategies like tensor analysis or view transform models to slow down the trend of performance decrease but still have potential for further improvement...
October 13, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/29032015/possible-positive-effect-of-the-apoe-%C3%AE%C2%B52-allele-on-cognition-in-early-to-mid-adult-life
#10
I Sinclair Lindsey, Christopher W Pleydell-Pearce, N M Ian Day
BACKGROUND: ε4 allele possession is associated with an increased risk of Alzheimer's disease. Its effects earlier in life are less well understood. Previous studies have reported both detrimental effects and a lack of effect on cognition outside dementia. We used genotype based recall from the ALSPAC study to investigate whether APOE genotype influences cognition in earlier adult life. METHODS: We invited all individuals with the rarer ε22 or ε44 genotypes and equal numbers of those with ε32, ε33 or ε34 APOE genotypes (total n invited =1936, ages 23-67)...
October 11, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/29031664/nonlinearity-aware-based-dimensionality-reduction-and-over-sampling-for-ad-mci-classification-from-mri-measures
#11
Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar Zaiane
Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system but also an emotional burden to patients and their families. Making accurate diagnosis of AD based on brain magnetic resonance imaging (MRI) is becoming more and more critical and emphasized at the earliest stages. However, the high dimensionality and imbalanced data issues are two major challenges in the study of computer aided AD diagnosis. The greatest limitations of existing dimensionality reduction and over-sampling methods are that they assume a linear relationship between the MRI features (predictor) and the disease status (response)...
October 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29028193/landmark-based-shape-encoding-and-sparse-dictionary-learning-in-the-continuous-domain
#12
Daniel Schmitter, Michael Unser
We provide a generic framework to learn shape dictionaries of landmark-based curves that are defined in the continuous domain. We first present an unbiased alignment method that involves the construction of a mean shape as well as training sets whose elements are subspaces that contain all affine transformations of the training samples. The alignment relies on orthogonal projection operators that have a closed form. We then present algorithms to learn shape dictionaries according to the structure of the data that needs to be encoded: a) projectionbased functional principal-component analysis for homogeneous data and b) continuous-domain sparse shape encoding to learn dictionaries that contain imbalanced data, outliers, or different types of shape structures...
October 12, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29027238/a-deep-convolutional-neural-network-using-directional-wavelets-for-low-dose-x-ray-ct-reconstruction
#13
Eunhee Kang, Junhong Min, Jong Chul Ye
PURPOSE: Due to the potential risk of inducing cancer, radiation exposure by X-ray CT devices should be reduced for routine patient scanning. However, in low-dose X-ray CT, severe artifacts typically occur due to photon starvation, beam hardening, and other causes, all of which decrease the reliability of the diagnosis. Thus, a high-quality reconstruction method from low-dose X-ray CT data has become a major research topic in the CT community. Conventional model-based de-noising approaches are, however, computationally very expensive, and image-domain de-noising approaches cannot readily remove CT-specific noise patterns...
October 2017: Medical Physics
https://www.readbyqxmd.com/read/29020840/self-determining-medical-leadership-needs-of-occupational-health-physicians
#14
Prosenjit Giri, Jill Aylott, Karen Kilner
Purpose The purpose of this study was to explore which factors motivate doctors to engage in leadership roles and to frame an inquiry of self-assessment within Self-Determination Theory (SDT) to identify the extent to which a group of occupational health physicians (OHPs) was able to self-determine their leadership needs, using a National Health Service (NHS) England competency approach promoted by the NHS England Leadership Academy as a self-assessment leadership diagnostic. Medical leadership is seen as crucial to the transformation of health-care services, yet leadership programmes are often designed with a top-down and centrally commissioned "one-size-fits-all" approach...
October 12, 2017: Leadership in Health Services
https://www.readbyqxmd.com/read/29020316/machine-learning-for-healthcare-on-the-verge-of-a-major-shift-in-healthcare-epidemiology
#15
Jenna Wiens, Erica S Shenoy
The increasing availability of electronic health data presents a major opportunity in healthcare for both discovery and practical applications to improve healthcare. However, for healthcare epidemiologists to best utilize these data, computational techniques that can handle large complex datasets are required. Machine learning (ML), the study of tools and methods for identifying patterns in data, can help. The appropriate application of ML to these data promises to transform patient risk stratification broadly in the field of medicine, and especially in infectious diseases...
August 21, 2017: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
https://www.readbyqxmd.com/read/29018623/voomdda-discovery-of-diagnostic-biomarkers-and-classification-of-rna-seq-data
#16
Gokmen Zararsiz, Dincer Goksuluk, Bernd Klaus, Selcuk Korkmaz, Vahap Eldem, Erdem Karabulut, Ahmet Ozturk
RNA-Seq is a recent and efficient technique that uses the capabilities of next-generation sequencing technology for characterizing and quantifying transcriptomes. One important task using gene-expression data is to identify a small subset of genes that can be used to build diagnostic classifiers particularly for cancer diseases. Microarray based classifiers are not directly applicable to RNA-Seq data due to its discrete nature. Overdispersion is another problem that requires careful modeling of mean and variance relationship of the RNA-Seq data...
2017: PeerJ
https://www.readbyqxmd.com/read/28994471/god-of-the-hinge-treating-lgbtqia-patients
#17
Annie Boland
This paper looks at systems of gender within the context of analysis. It explores the unique challenges of individuation faced by transsexual, transgender, gender queer, gender non-conforming, cross-dressing and intersex patients. To receive patients generously we need to learn how a binary culture produces profound and chronic trauma. These patients wrestle with being who they are whilst simultaneously receiving negative projections and feeling invisible. While often presenting with the struggles of gender conforming individuals, understanding the specifically gendered aspect of their identity is imperative...
November 2017: Journal of Analytical Psychology
https://www.readbyqxmd.com/read/28991850/aligning-education-with-health-care-transformation-identifying-a-shared-mental-model-of-new-faculty-competencies-for-academic-faculty
#18
Jed D Gonzalo, Amarpreet Ahluwalia, Maria Hamilton, Heidi Wolf, Daniel R Wolpaw, Britta M Thompson
PURPOSE: To develop a potential competency framework for faculty development programs aligned with the needs of faculty in academic health centers (AHCs). METHOD: In 2014 and 2015, the authors interviewed 23 health system leaders and analyzed transcripts using constant comparative analysis and thematic analysis. They coded competencies and curricular concepts into subcategories. Lead investigators reviewed drafts of the categorization themes and subthemes related to gaps in faculty knowledge and skills, collapsed and combined competency domains, and resolved disagreements via discussion...
October 3, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28991847/medical-humanities-the-rx-for-uncertainty
#19
Danielle Ofri
While medical students often fear the avalanche of knowledge they are required to learn during training, it is learning to translate that knowledge into wisdom that is the greatest challenge of becoming a doctor. Part of that challenge is learning to tolerate ambiguity and uncertainty, a difficult feat for doctors who are taught to question anything that is not evidence based or peer reviewed. The medical humanities specialize in this ambiguity and uncertainty, which are hallmarks of actual clinical practice but rarely addressed in medical education...
October 3, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28991756/person-reidentification-via-discrepancy-matrix-and-matrix-metric
#20
Zheng Wang, Ruimin Hu, Chen Chen, Yi Yu, Junjun Jiang, Chao Liang, Shin'ichi Satoh
Person reidentification (re-id), as an important task in video surveillance and forensics applications, has been widely studied. Previous research efforts toward solving the person re-id problem have primarily focused on constructing robust vector description by exploiting appearance's characteristic, or learning discriminative distance metric by labeled vectors. Based on the cognition and identification process of human, we propose a new pattern, which transforms the feature description from characteristic vector to discrepancy matrix...
October 5, 2017: IEEE Transactions on Cybernetics
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