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Problem base learning

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https://www.readbyqxmd.com/read/28719247/telehealth-in-schools-using-a-systematic-educational-model-based-on-fiction-screenplays-interactive-documentaries-and-three-dimensional-computer-graphics
#1
Diogo Julien Miranda, Chao Lung Wen
BACKGROUND: Preliminary studies suggest the need of a global vision in academic reform, leading to education re-invention. This would include problem-based education using transversal topics, developing of thinking skills, social interaction, and information-processing skills. We aimed to develop a new educational model in health with modular components to be broadcast and applied as a tele-education course. MATERIALS AND METHODS: We developed a systematic model based on a "Skills and Goals Matrix" to adapt scientific contents on fictional screenplays, three-dimensional (3D) computer graphics of the human body, and interactive documentaries...
July 18, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28717600/implementation-of-the-xpert-mtb-rif-assay-for-tuberculosis-in-mongolia-a-qualitative-exploration-of-barriers-and-enablers
#2
Nicole L Rendell, Solongo Bekhbat, Gantungalag Ganbaatar, Munkhjargal Dorjravdan, Madhukar Pai, Claudia C Dobler
OBJECTIVE: The aim of our study was to identify barriers and enablers to implementation of the Xpert MTB/RIF test within Mongolia's National Tuberculosis Program. METHODS: Twenty-foursemi-structured interviews were conducted between June and September 2015 with laboratory staff and tuberculosis physicians in Mongolia's capital Ulaanbaatar and regional towns where Xpert MTB/RIF testing had been implemented. Interviews were recorded, transcribed, translated and analysed thematically using NVIVO qualitative analysis software...
2017: PeerJ
https://www.readbyqxmd.com/read/28715261/social-media-use-and-conduct-problems-in-emerging-adults
#3
Victoria L Galica, Anna Vannucci, Kaitlin M Flannery, Christine McCauley Ohannessian
Social media use has become pervasive in the lives of emerging adults. Although social media may provide individuals with positive opportunities for communication and learning, social media sites also may provide an outlet for youth conduct problems, such as bullying, harassment, and intentional hostility and aggression toward others. Yet, the relationship between social media use and conduct problems remains unclear. This study investigated the association between conduct disorder (CD) symptoms before age 15 and social media use during emerging adulthood in a large, nationally representative sample...
July 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28714187/a-critique-of-utilitarian-and-instrumentalist-concepts-for-the-teaching-of-gross-anatomy-to-medical-and-dental-students-an-opinion-piece
#4
Bernard J Moxham, Diogo Pais
Medical and dental curricula, together with anatomical sciences courses, are increasingly having to change, mainly because there is a drive to being what is termed, without adequate definition, 'clinically relevant'. The concept of 'clinical anatomy' has accordingly been invented and it is expected that, at all times, the teaching of anatomy is directly focussed on clinical scenarios, meaning almost invariably the 'disease-based model of medicine and dentistry'. Furthermore, students are not expected to have a detailed knowledge of gross anatomy and the time devoted to teaching and learning the subject has decreased significantly...
July 16, 2017: Clinical Anatomy
https://www.readbyqxmd.com/read/28714184/research-review-what-have-we-learned-about-adolescent-substance-use
#5
REVIEW
Kevin M Gray, Lindsay M Squeglia
BACKGROUND: Adolescence is a critical biological, psychological, and social developmental stage involving heightened risk for substance use and associated adverse consequences. This review, synthesizing emerging findings on this complex topic, is intended to inform research and clinical care focused on adolescents. METHODS: Literature searches were conducted using PubMed, yielding a cross-section of observational and interventional studies focused on adolescent substance use...
July 17, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28712748/chi-a-contemporaneous-health-index-for-degenerative-disease-monitoring-using-longitudinal-measurements
#6
Yijun Huang, Qiang Meng, Heather Evans, William Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
In this paper, we develop a novel formulation for contemporaneous patient risk monitoring by exploiting the emerging data-rich environment in many healthcare applications, where an abundance of longitudinal data that reflect the degeneration of the health condition can be continuously collected. Our objective, and the developed formulation, is fundamentally different from many existing risk score models for different healthcare applications, which mostly focus on predicting the likelihood of a certain outcome at a pre-specified time...
July 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28708559/texture-characterization-using-shape-co-occurrence-patterns
#7
Gui-Song Xia, Gang Liu, Xiang Bai, Liangpei Zhang
Texture characterization is a key problem in image understanding and pattern recognition. In this paper, we present a flexible shape-based texture representation using shape co-occurrence patterns. More precisely, texture images are first represented by a tree of shapes, each of which is associated with several geometrical and radiometric attributes. Then, four typical kinds of shape co-occurrence patterns based on the hierarchical relationships among the shapes in the tree are learned as codewords. Three different coding methods are investigated for learning the codewords, which can be used to encode any given texture image into a descriptive vector...
July 12, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28708556/deep-learning-on-sparse-manifolds-for-faster-object-segmentation
#8
Jacinto C Nascimento, Gustavo Carneiro
We propose a new combination of deep belief networks and sparse manifold learning strategies for the 2D segmentation of non-rigid visual objects. With this novel combination, we aim to reduce the training and inference complexities while maintaining the accuracy of machine learning based non-rigid segmentation methodologies. Typical non-rigid object segmentation methodologies divide the problem into a rigid detection followed by a non-rigid segmentation, where the low dimensionality of the rigid detection allows for a robust training (i...
July 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28708554/distance-metric-learning-via-iterated-support-vector-machines
#9
Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang
Distance metric learning aims to learn from the given training data a valid distance metric, with which the similarity between data samples can be more effectively evaluated for classification. Metric learning is often formulated as a convex or nonconvex optimization problem, while most existing methods are based on customized optimizers and become inefficient for large scale problems. In this paper, we formulate metric learning as a kernel classification problem with the positive semi-definite constraint, and solve it by iterated training of support vector machines (SVMs)...
July 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28707953/neural-correlates-of-visual-memory-in-patients-with-diffuse-axonal-injury
#10
Juliane Lauer, Laura Moreno-López, Anne Manktelow, Ellen L Carroll, Joanne G Outtrim, Jonathan P Coles, Virginia F Newcombe, Barbara J Sahakian, David K Menon, Emmanuel A Stamatakis
PRIMARY OBJECTIVE: To investigate the neural substrates of visual memory in a sample of patients with traumatic brain injury (TBI). We hypothesized that patients with decreased grey and white matter volume in frontal and parietal cortices as well as medial temporal and occipital lobes would perform poorly on the tests of visual memory analysed. METHODS AND PROCEDURES: 39 patients and 53 controls were assessed on tests of visual memory and learning from the Cambridge Neuropsychological Test Automated Battery (CANTAB)...
July 14, 2017: Brain Injury: [BI]
https://www.readbyqxmd.com/read/28707636/implementation-and-evaluation-of-a-patient-safety-course-in-a-problem-based-learning-program
#11
Sarah Ahmed Eltony, Nahla Hassan El-Sayed, Shimaa El-Sayed El-Araby, Salah Eldin Kassab
BACKGROUND: Since the development of the WHO patient safety curriculum guide, there has been insufficient reporting regarding the implementation and evaluation of patient safety courses in undergraduate problem-based learning (PBL) programs. This study is designed to implement a patient safety course to undergraduate students in a PBL medical school and evaluate this course by examining its effects on students' knowledge and satisfaction. METHODS: The target population included year 6 medical students (n = 71) at the Faculty of Medicine, Suez Canal University in Egypt...
January 2017: Education for Health: Change in Training & Practice
https://www.readbyqxmd.com/read/28707630/how-innovative-and-conventional-curricula-prepare-medical-students-for-practice-in-sub-saharan-africa-a-comparative-study-from-mozambique
#12
Janneke M Frambach, Beatriz A F Manuel, Afonso M T Fumo, Bernard Groosjohan, Cees P M Van Der Vleuten, Erik W Driessen
BACKGROUND: Medical education in Sub-Saharan Africa is in need of reform to promote the number and quality of physicians trained. Curriculum change and innovation in this region, however, face a challenging context that may affect curriculum outcomes. Research on outcomes of curriculum innovation in Sub-Saharan Africa is scarce. We investigated curriculum outcomes in a Sub-Saharan African context by comparing students' perceived preparedness for practice within three curricula in Mozambique: a conventional curriculum and two innovative curricula...
January 2017: Education for Health: Change in Training & Practice
https://www.readbyqxmd.com/read/28706545/effect-of-face-to-face-education-problem-based-learning-and-goldstein-systematic-training-model-on-quality-of-life-and-fatigue-among-caregivers-of-patients-with-diabetes
#13
Reza Masoudi, Mohammad Ali Soleimani, Ameneh Yaghoobzadeh, Shahram Baraz, Ashrafalsadat Hakim, Yiong H Chan
BACKGROUND: Education is a fundamental component for patients with diabetes to achieve good glycemic control. In addition, selecting the appropriate method of education is one of the most effective factors in the quality of life. The present study aimed to evaluate the effect of face-to-face education, problem-based learning, and Goldstein systematic training model on the quality of life (QOL) and fatigue among caregivers of patients with diabetes. MATERIALS AND METHODS: This randomized clinical trial was conducted in Hajar Hospital (Shahrekord, Iran) in 2012...
May 2017: Iranian Journal of Nursing and Midwifery Research
https://www.readbyqxmd.com/read/28705246/effects-of-additional-team-based-learning-on-students-clinical-reasoning-skills-a-pilot-study
#14
Meike Jost, Peter Brüstle, Marianne Giesler, Michel Rijntjes, Jochen Brich
BACKGROUND: In the field of Neurology good clinical reasoning skills are essential for successful diagnosing and treatment. Team-based learning (TBL), an active learning and small group instructional strategy, is a promising method for fostering these skills. The aim of this pilot study was to examine the effects of a supplementary TBL-class on students' clinical decision-making skills. METHODS: Fourth- and fifth-year medical students participated in this pilot study (static-group comparison design)...
July 14, 2017: BMC Research Notes
https://www.readbyqxmd.com/read/28702811/a-machine-learning-framework-involving-eeg-based-functional-connectivity-to-diagnose-major-depressive-disorder-mdd
#15
Wajid Mumtaz, Syed Saad Azhar Ali, Mohd Azhar Mohd Yasin, Aamir Saeed Malik
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning framework involving EEG-derived synchronization likelihood (SL) features as input data for automatic diagnosis of MDD. It was hypothesized that EEG-based SL features could discriminate MDD patients and healthy controls with an acceptable accuracy better than measures such as interhemispheric coherence and mutual information...
July 13, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28702204/exploring-the-status-of-retail-private-drug-shops-in-bangladesh-and-action-points-for-developing-an-accredited-drug-shop-model-a-facility-based-cross-sectional-study
#16
Syed Masud Ahmed, Nahitun Naher, Tarek Hossain, Lal Bahadur Rawal
BACKGROUND: The private retail drug shops market in Bangladesh is largely unregulated and unaccountable, giving rise to irrational use of drugs and high Out-of-pocket expenditure on health. These shops are served by salespersons with meagre or no formal training in dispensing. METHOD: This facility-based cross-sectional study was undertaken to investigate how the drug shops currently operate vis-a-vis the regulatory regime including dispensing practices of the salespersons, for identifying key action points to develop an accredited model for Bangladesh...
2017: Journal of Pharmaceutical Policy and Practice
https://www.readbyqxmd.com/read/28701968/perceived-enablers-and-barriers-to-optimal-health-among-music-students-a-qualitative-study-in-the-music-conservatoire-setting
#17
Rosie Perkins, Helen Reid, Liliana S Araújo, Terry Clark, Aaron Williamon
Student health and wellbeing within higher education has been documented as poor in relation to the general population. This is a particular problem among students at music conservatoires, who are studying within a unique educational context that is known to generate both physical and psychological challenges. This article examines how conservatoire students experience health and wellbeing within their institutional context, using a framework from health promotion to focus attention on perceived enablers and barriers to optimal health in relation to three levels: lifestyle, support services, and conservatoire environment...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28701816/brief-history-of-agricultural-systems-modeling
#18
James W Jones, John M Antle, Bruno Basso, Kenneth J Boote, Richard T Conant, Ian Foster, H Charles J Godfray, Mario Herrero, Richard E Howitt, Sander Janssen, Brian A Keating, Rafael Munoz-Carpena, Cheryl H Porter, Cynthia Rosenzweig, Tim R Wheeler
Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges...
July 2017: Agricultural Systems
https://www.readbyqxmd.com/read/28701497/teaching-neurology-to-medical-students-with-a-simplified-version-of-team-based-learning
#19
Jochen Brich, Meike Jost, Peter Brüstle, Marianne Giesler, Michel Rijntjes
OBJECTIVE: To compare the effect of a simplified version of team-based learning (sTBL), an active learning/small group instructional strategy, with that of the traditionally used small group interactive seminars on the acquisition of knowledge and clinical reasoning (CR) skills. METHODS: Third- and fourth-year medical students (n = 122) were randomly distributed into 2 groups. A crossover design was used in which 2 neurologic topics were taught by sTBL and 2 by small group interactive seminars...
July 12, 2017: Neurology
https://www.readbyqxmd.com/read/28700672/prediction-of-clinical-depression-scores-and-detection-of-changes-in-whole-brain-using-resting-state-functional-mri-data-with-partial-least-squares-regression
#20
Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya
In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability. To overcome these problems, we applied partial least squares (PLS) regression to resting-state functional magnetic resonance imaging (rs-fMRI) data, creating a low-dimensional representation that relates symptoms to brain activity and that predicts clinical measures. Our experimental results, based upon data from clinically depressed patients and healthy controls, demonstrated that PLS and its kernel variants provided significantly better prediction of clinical measures than ordinary linear regression...
2017: PloS One
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