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https://www.readbyqxmd.com/read/28926820/guided-university-debate-effect-of-a-new-teaching-learning-strategy-for-undergraduate-nursing-students
#1
Marta Arrue, Saloa Unanue, David Merida
BACKGROUND: A number of studies have shown that the traditional lecture suffers from limitations in the development of many important competencies such as reasoning ability for nursing professionals. OBJECTIVES: In view of this issue, the authors present a promising alternative to the traditional lecture: the Guided University Debate (GUD). With regard to this aim a teaching-learning sequence of schizophrenia is described based on the GUD. Next, the improvement in the argumentative and declarative knowledge of the students who have participated in the said methodology is demonstrated...
September 5, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28926629/learning-linear-transformations-between-counting-based-and-prediction-based-word-embeddings
#2
Danushka Bollegala, Kohei Hayashi, Ken-Ichi Kawarabayashi
Despite the growing interest in prediction-based word embedding learning methods, it remains unclear as to how the vector spaces learnt by the prediction-based methods differ from that of the counting-based methods, or whether one can be transformed into the other. To study the relationship between counting-based and prediction-based embeddings, we propose a method for learning a linear transformation between two given sets of word embeddings. Our proposal contributes to the word embedding learning research in three ways: (a) we propose an efficient method to learn a linear transformation between two sets of word embeddings, (b) using the transformation learnt in (a), we empirically show that it is possible to predict distributed word embeddings for novel unseen words, and...
2017: PloS One
https://www.readbyqxmd.com/read/28926310/coronary-ct-angiography-derived-fractional-flow-reserve
#3
Christian Tesche, Carlo N De Cecco, Moritz H Albrecht, Taylor M Duguay, Richard R Bayer, Sheldon E Litwin, Daniel H Steinberg, U Joseph Schoepf
Invasive coronary angiography (ICA) with measurement of fractional flow reserve (FFR) by means of a pressure wire technique is the established reference standard for the functional assessment of coronary artery disease (CAD) ( 1 , 2 ). Coronary computed tomographic (CT) angiography has emerged as a noninvasive method for direct assessment of CAD and plaque characterization with high diagnostic accuracy compared with ICA ( 3 , 4 ). However, the solely anatomic assessment provided with both coronary CT angiography and ICA has poor discriminatory power for ischemia-inducing lesions...
October 2017: Radiology
https://www.readbyqxmd.com/read/28925823/deep-learning-mr-imaging-based-attenuation-correction-for-pet-mr-imaging
#4
Fang Liu, Hyungseok Jang, Richard Kijowski, Tyler Bradshaw, Alan B McMillan
Purpose To develop and evaluate the feasibility of deep learning approaches for magnetic resonance (MR) imaging-based attenuation correction (AC) (termed deep MRAC) in brain positron emission tomography (PET)/MR imaging. Materials and Methods A PET/MR imaging AC pipeline was built by using a deep learning approach to generate pseudo computed tomographic (CT) scans from MR images. A deep convolutional auto-encoder network was trained to identify air, bone, and soft tissue in volumetric head MR images coregistered to CT data for training...
September 19, 2017: Radiology
https://www.readbyqxmd.com/read/28925817/using-multiple-classifiers-for-predicting-the-risk-of-endovascular-aortic-aneurysm-repair-re-intervention-through-hybrid-feature-selection
#5
Omneya Attallah, Alan Karthikesalingam, Peter Je Holt, Matthew M Thompson, Rob Sayers, Matthew J Bown, Eddie C Choke, Xianghong Ma
Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data...
September 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28925587/lessons-learned-from-the-development-and-parameterization-of-a-computer-simulation-model-to-evaluate-task-modification-for-healthcare-providers
#6
Parastu Kasaie, W David Kelton, Rachel M Ancona, Michael J Ward, Craig M Froehle, Michael S Lyons
Computer simulation is a highly advantageous method for understanding and improving healthcare operations with a wide variety of possible applications. Most computer-simulation studies in emergency medicine have sought to improve allocation of resources to meet demand, or to assess the impact of hospital and other system policies on emergency department (ED) throughput. These models have enabled essential discoveries that can be used to improve the general structure and functioning of EDs. Theoretically, computer simulation could also be used to examine the impact of adding or modifying specific provider tasks...
September 19, 2017: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine
https://www.readbyqxmd.com/read/28924655/managing-the-introduction-of-super-resolution-microscopy-into-a-core-facility
#7
Jeffrey A Kamykowski, Brian Storrie
Super resolution techniques place the resolution of fluorescence microscopy closer to the size of the underlying cell structure or molecular machine being studied. Structured illumination techniques will give users a set of tools that are close to their past experience and relatively simple and quick to learn. The present dyes can be used. Resolution approaching 100 nm XY can be achieved. In contrast, stochastic methods such as PALM/STORM typically require the choice of new dyes and a much greater learning curve to master the technology and calculations...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28924571/tracking-and-diameter-estimation-of-retinal-vessels-using-gaussian-process-and-radon-transform
#8
Masoud Elhami Asl, Navid Alemi Koohbanani, Alejandro F Frangi, Ali Gooya
Extraction of blood vessels in retinal images is an important step for computer-aided diagnosis of ophthalmic pathologies. We propose an approach for blood vessel tracking and diameter estimation. We hypothesize that the curvature and the diameter of blood vessels are Gaussian processes (GPs). Local Radon transform, which is robust against noise, is subsequently used to compute the features and train the GPs. By learning the kernelized covariance matrix from training data, vessel direction and its diameter are estimated...
July 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28924524/retrospective-review-on-accuracy-a-pilot-study-of-robotically-guided-thoracolumbar-sacral-pedicle-screws-versus-fluoroscopy-guided-and-computerized-tomography-stealth-guided-screws
#9
Brian Fiani, Syed A Quadri, Vivek Ramakrishnan, Blake Berman, Yasir Khan, Javed Siddiqi
Introduction Pedicle screw insertion is the mainstay of thora-cic and lumbosacral posterior spinal instrumentation. However, it may be associated with complications such as screw mal-positioning. The purpose of this study was to develop a pilot study to compare the accuracy of robot-guided screw insertion versus hand-guided screw placement for spinal instrumentation. The hand-guided screws were placed with assistance from computerized tomography (CT) stealth guidance or fluoroscopy. Materials and methods A retrospective analysis of medical records was done for all patients that had pedicle screw insertion for instrumentation between the dates of December 2013 and January 2016 with post-screw placement CT imaging...
July 6, 2017: Curēus
https://www.readbyqxmd.com/read/28924506/automated-classification-of-tropical-shrub-species-a-hybrid-of-leaf-shape-and-machine-learning-approach
#10
Miraemiliana Murat, Siow-Wee Chang, Arpah Abu, Hwa Jen Yap, Kien-Thai Yong
Plants play a crucial role in foodstuff, medicine, industry, and environmental protection. The skill of recognising plants is very important in some applications, including conservation of endangered species and rehabilitation of lands after mining activities. However, it is a difficult task to identify plant species because it requires specialized knowledge. Developing an automated classification system for plant species is necessary and valuable since it can help specialists as well as the public in identifying plant species easily...
2017: PeerJ
https://www.readbyqxmd.com/read/28924398/what-does-the-future-hold-for-scientific-journals-visual-abstracts-and-other-tools-for-communicating-research
#11
REVIEW
Vahagn C Nikolian, Andrew M Ibrahim
Journals fill several important roles within academic medicine, including building knowledge, validating quality of methods, and communicating research. This section provides an overview of these roles and highlights innovative approaches journals have taken to enhance dissemination of research. As journals move away from print formats and embrace web-based content, design-centered thinking will allow for engagement of a larger audience. Examples of recent efforts in this realm are provided, as well as simplified strategies for developing visual abstracts to improve dissemination via social media...
September 2017: Clinics in Colon and Rectal Surgery
https://www.readbyqxmd.com/read/28924275/relationship-among-academic-engagement-burnout-and-student-perceptions-of-curriculum-delivery-in-speech-and-language-therapy-students-from-university-of-concepcion-chile
#12
Rocio Glaria, Lorena Carmona, Cristhian Perez, Paula Parra
OBJECTIVE: To relate engagement and academic burnout with curriculum evaluation among speech therapy students. METHODS: This observational, cross-sectional study was conducted at the end of the first academic semester for each level and at the end of a theoretical class in order to ensure the maximum participation rate at the University of Concepción, Concepción, Chile, and comprised students of a speech and language therapy programme.Curriculum evaluation scale, academic engagement and academic burnout questionnaires were used...
September 2017: JPMA. the Journal of the Pakistan Medical Association
https://www.readbyqxmd.com/read/28924171/a-network-integration-approach-for-drug-target-interaction-prediction-and-computational-drug-repositioning-from-heterogeneous-information
#13
Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinglin Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng
The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug-target interactions from a constructed heterogeneous network, which integrates diverse drug-related information. DTINet focuses on learning a low-dimensional vector representation of features, which accurately explains the topological properties of individual nodes in the heterogeneous network, and then makes prediction based on these representations via a vector space projection scheme...
September 18, 2017: Nature Communications
https://www.readbyqxmd.com/read/28923375/the-feldenkrais-method-improves-functioning-and-body-balance-in-people-with-intellectual-disability-in-supported-employment-a-randomized-clinical-trial
#14
Jon Torres-Unda, Vanesa Polo, Iratxe Dunabeitia, Iraia Bidaurrazaga-Letona, María García-Gil, Ana Rodriguez-Larrad, Jon Irazusta
Loss of functioning and age-related health problems tend to appear earlier in individuals with intellectual disability (ID) than in their non-disabled peers. The Feldenkrais method (FM) is a movement-based form of learning that enhances body balance and physical functioning. We carried out an intervention based on Awareness Through Movement, a form of the FM. Thirty-two middle-aged (48.94±6.01years old) adults with ID who were in supported employment were recruited and randomly assigned to the experimental group (EG) or control group (CG)...
September 15, 2017: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/28923366/development-of-fine-grained-pill-identification-algorithm-using-deep-convolutional-network
#15
Yuen Fei Wong, Hoi Ting Ng, Kit Yee Leung, Ka Yan Chan, Sau Yi Chan, Chen Change Loy
OBJECTIVE: Oral pills, including tablets and capsules, are one of the most popular pharmaceutical dosage forms available. Compared to other dosage forms, such as liquid and injections, oral pills are very stable and are easy to be administered. However, it is not uncommon for pills to be misidentified, be it within the healthcare institutes or after the pills were dispensed to the patients. Our objective is to develop groundwork for automatic pill identification and verification using Deep Convolutional Network (DCN) that surpasses the existing methods...
September 15, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28923056/physicians-perceptions-on-the-impact-of-telemedicine-on-recruitment-and-retention-in-underserved-areas-a-descriptive-study-in-senegal
#16
Birama Apho Ly, Ivy Lynn Bourgeault, Ronald Labonté, Mbayang Ndiaye Niang
BACKGROUND: Similar to many places, physicians in Senegal are unevenly distributed. Telemedicine is considered a potential solution to this problem. This study investigated the perceptions of Senegal's physicians of the impact of telemedicine on their recruitment to and retention in underserved areas. METHODS: We conducted individual interviews with a random sample of 60 physicians in Senegal, including 30 physicians working in public hospitals and 30 physicians working in district health centres between January and June 2014, as part of a mixed methods study...
September 18, 2017: Human Resources for Health
https://www.readbyqxmd.com/read/28923002/deep-learning-methods-for-protein-torsion-angle-prediction
#17
Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng
BACKGROUND: Deep learning is one of the most powerful machine learning methods that has achieved the state-of-the-art performance in many domains. Since deep learning was introduced to the field of bioinformatics in 2012, it has achieved success in a number of areas such as protein residue-residue contact prediction, secondary structure prediction, and fold recognition. In this work, we developed deep learning methods to improve the prediction of torsion (dihedral) angles of proteins...
September 18, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28922705/from-ancient-to-avant-garde-a-review-of-traditional-and-modern-multimodal-approaches-to-surgical-anatomy-education
#18
REVIEW
Minhao Hu, David Wattchow, Dayan de Fontgalland
The landscape of surgical anatomy education is progressively changing. Traditional methods, such as cadaveric dissection and didacticism are being increasingly phased out in undergraduate courses for multimodal approaches incorporating problem-based learning, radiology and computer-based simulations. Although effective at clinically contextualizing and integrating anatomical information, these approaches may be a poor substitute for fostering a grasp of foundational 'pure' anatomy. Dissection is ideal for this purpose and hence remains the cornerstone of anatomical education...
September 18, 2017: ANZ Journal of Surgery
https://www.readbyqxmd.com/read/28922654/student-s-perception-about-innovative-teaching-learning-practices-in-forensic-medicine
#19
Sanjay Gupta, Utsav N Parekh, Jaishree D Ganjiwale
BACKGROUND: Since decades, Forensic Medicine is mainly taught by didactic methods but in last couple of years some other teachinglearning and assessment methods are also introduced at some places which also lacks uniformity. Feedback from learners is most fundamental aspect to assess effectiveness of applied methods, but is not implemented in practice at most medical schools in India. Unfortunately, medical students are deprived of this practical empowerment and thus may not be efficient enough to contribute potentially to the justice system during their professional life...
September 11, 2017: Journal of Forensic and Legal Medicine
https://www.readbyqxmd.com/read/28922648/a-theoretical-and-empirical-modeling-of-anxiety-integrated-with-rdoc-and-temporal-dynamics
#20
Brandon Frank, Nicholas C Jacobson, Landon Hurley, Dean McKay
The newly launched Research Domain Criteria (RDoC) emphasize specific mechanisms over diagnostic categories of psychopathology. In our view, RDoC provides a useful heuristic for mental health disorders, but does not capture the complexity of psychological data when proposed mechanisms are viewed as static entities. However, temporal and complex system dynamics may advance RDoC's utility. By investigating temporal patterns within trajectories and the interaction of complex networks, we propose that dynamic modeling provides comprehensive methods with which to investigate the etiopathology and maintenance of mental health disorders...
September 8, 2017: Journal of Anxiety Disorders
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