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https://www.readbyqxmd.com/read/28530039/transition-from-paediatric-to-adult-care-of-adolescents-living-with-hiv-in-sub-saharan-africa-challenges-youth-friendly-models-and-outcomes
#1
Désiré Lucien Dahourou, Chloé Gautier-Lafaye, Chloe A Teasdale, Lorna Renner, Marcel Yotebieng, Sophie Desmonde, Samuel Ayaya, Mary-Ann Davies, Valériane Leroy
INTRODUCTION: The number of adolescents with perinatally or behaviourally acquired HIV is increasing in low-income countries, and especially in sub-Saharan Africa where HIV prevalence and incidence are the highest. As they survive into adulthood in the era of antiretroviral therapy, there is a pressing need to transfer them from paediatric to adult care, known as the transition of care. We conducted a narrative review of recent evidence on their transition outcomes in Africa, highlighting the specific needs and challenges in these populations and settings, and the different models of care for transition...
May 16, 2017: Journal of the International AIDS Society
https://www.readbyqxmd.com/read/28529122/shared-decision-making-a-buzz-word-in-the-netherlands-the-pace-quickens-towards-nationwide-implementation%C3%A2
#2
Trudy van der Weijden, Heleen Post, Paul L P Brand, Haske van Veenendaal, Ton Drenthen, Linda Aj van Mierlo, Peep Stalmeier, Olga C Damman, Anne Stiggelbout
Currently, shared decision making (SDM) is on the agenda among target patient representative groups, policy makers and professional bodies. Although the International Conference for Shared Decision Making (ISDM) 2011 generated a positive boost, hesitation was also felt among Dutch clinicians, who are challenged by many new tasks. No hesitation is seen among the majority of patients, opting mostly for the SDM model. We haven't reached these patients' needs fully yet, given disappointing research data on patients' experiences and professional behaviour...
May 18, 2017: Zeitschrift Für Evidenz, Fortbildung und Qualität Im Gesundheitswesen
https://www.readbyqxmd.com/read/28528295/a-machine-learning-graph-based-approach-for-3d-segmentation-of-bruch-s-membrane-opening-from-glaucomatous-sd-oct-volumes
#3
Mohammad Saleh Miri, Michael D Abràmoff, Young H Kwon, Milan Sonka, Mona K Garvin
Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter which estimates the remaining nerve fiber bundles in the retina and is superior to other conventional structural parameters for diagnosing glaucoma. Measuring this structural parameter requires identification of BMO locations within spectral domain-optical coherence tomography (SD-OCT) volumes. While most automated approaches for segmentation of the BMO either segment the 2D projection of BMO points or identify BMO points in individual B-scans, in this work, we propose a machine-learning graph-based approach for true 3D segmentation of BMO from glaucomatous SD-OCT volumes...
May 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28523233/a-new-method-allowing-long-term-potentiation-recordings-in-hippocampal-organotypic-slices
#4
Paula Paci, Sylvain Gabriele, Laurence Ris
BACKGROUND: Hippocampal organotypic slices are used to improve the understanding of synaptic plasticity mechanisms because they allow longer term studies compared to acute slices. However, it is more delicate to keep cultures alive in the recording system outside in vitro conditions. Experiments from the organotypic cultures are common but the handling of slices is rarely described in the literature, even though tissue preservation is crucial. Instruments are sometimes required to extract the slices from the culture inserts but this approach is delicate and can lead to damage, given how strongly the slices are attached to the insert...
May 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28520585/the-role-of-simulation-and-warm-up-in-minimally-invasive-gynecologic-surgery
#5
Janelle K Moulder, Michelle Louie, Tarek Toubia, Lauren D Schiff, Matthew T Siedhoff
PURPOSE OF REVIEW: The purpose of the review is to update the reader on the current literature and recent studies evaluating the role of simulation and warm-up as part of surgical education and training, and maintenance of surgical skills. RECENT FINDINGS: Laparoscopic and hysteroscopic simulation may improve psychomotor skills, particularly for early-stage learners. However, data are mixed as to whether simulation education is directly transferable to surgical skill...
May 16, 2017: Current Opinion in Obstetrics & Gynecology
https://www.readbyqxmd.com/read/28516347/uniting-the-pre-health-humanities-with-the-introductory-composition-course
#6
Amy Rubens
Drawing on my experiences at a teaching-focused university, I show how locating the health humanities in first-year or introductory composition courses improves learning and offers an economical, flexible, and far-reaching approach to bringing a health humanities education to all baccalaureate-level learners, regardless of whether they aspire to careers in the health professions. In terms of improving learning, health humanities composition courses support the disciplinary aims of both fields. Accessible, relevant issues in the health humanities, such as interventions in health debates or representations of illness and healthcare settings, nourish the cognitive and social conditions needed to develop college-level writing skills...
May 17, 2017: Journal of Medical Humanities
https://www.readbyqxmd.com/read/28515009/transfer-learning-on-fused-multiparametric-mr-images-for-classifying-histopathological-subtypes-of-rhabdomyosarcoma
#7
Imon Banerjee, Alexis Crawley, Mythili Bhethanabotla, Heike E Daldrup-Link, Daniel L Rubin
This paper presents a deep-learning-based CADx for the differential diagnosis of embryonal (ERMS) and alveolar (ARMS) subtypes of rhabdomysarcoma (RMS) solely by analyzing multiparametric MR images. We formulated an automated pipeline that creates a comprehensive representation of tumor by performing a fusion of diffusion-weighted MR scans (DWI) and gadolinium chelate-enhanced T1-weighted MR scans (MRI). Finally, we adapted transfer learning approach where a pre-trained deep convolutional neural network has been fine-tuned based on the fused images for performing classification of the two RMS subtypes...
May 5, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28512396/a-generic-transferable-eeg-decoder-for-online-detection-of-error-potential-in-target-selection
#8
Saugat Bhattacharyya, Amit Konar, D N Tibarewala, Mitsuhiro Hayashibe
Reliable detection of error from electroencephalography (EEG) signals as feedback while performing a discrete target selection task across sessions and subjects has a huge scope in real-time rehabilitative application of Brain-computer Interfacing (BCI). Error Related Potentials (ErrP) are EEG signals which occur when the participant observes an erroneous feedback from the system. ErrP holds significance in such closed-loop system, as BCI is prone to error and we need an effective method of systematic error detection as feedback for correction...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28512037/understanding-behavior-under-nonverbal-transitive-inference-procedures-stimulus-control-topography-analyses
#9
Ann Galizio, Adam H Doughty, Dean C Williams, Kathryn J Saunders
Following training with verbal stimulus relations involving A is greater than B and B is greater than C, verbally-competent individuals reliably select A > C when asked "which is greater, A or C?" (i.e., verbal transitive inference). This result is easy to interpret. Nonhuman animals and humans with and without intellectual disabilities have been exposed to nonverbal transitive-inference procedures involving trained arbitrary stimulus relations. Following the training of A+B-, B+C-, C+D-, and D+E-, B reliably is selected over D (i...
May 13, 2017: Behavioural Processes
https://www.readbyqxmd.com/read/28511894/incorporating-simulation-into-gynecologic-surgical-training
#10
REVIEW
Kyle Wohlrab, J Eric Jelovsek, Deborah Myers
Today's educational environment has made it more difficult to rely on the Halstedian model of 'see one, do one, teach one' in gynecologic surgical training. There is decreased surgical volume, but an increased number of surgical modalities. Fortunately, surgical simulation has evolved to fill the educational void. Whether it is through skill generalization or skill transfer, surgical simulation has shifted the learning curve from the operating room back to the classroom. This article explores the principles of surgical education and ways to introduce simulation as an adjunct to residency training...
May 13, 2017: American Journal of Obstetrics and Gynecology
https://www.readbyqxmd.com/read/28509639/factors-associated-with-simulator-assessed-laparoscopic-surgical-skills-of-veterinary-students
#11
Jessica J Kilkenny, Ameet Singh, Carolyn L Kerr, Deep K Khosa, Boel A Fransson
OBJECTIVE To determine whether simulator-assessed laparoscopic skills of veterinary students were associated with training level and prior experience performing nonlaparoscopic veterinary surgery and other activities requiring hand-eye coordination and manual dexterity. DESIGN Experiment. SAMPLE 145 students without any prior laparoscopic surgical or fundamentals of laparoscopic surgery (FLS) simulator experience in years 1 (n = 39), 2 (34), 3 (39), and 4 (33) at a veterinary college. PROCEDURES A questionnaire was used to collect data from participants regarding experience performing veterinary surgery, playing video games, and participating in other activities...
June 1, 2017: Journal of the American Veterinary Medical Association
https://www.readbyqxmd.com/read/28508529/mastery-learning-does-the-method-of-learning-make-a-difference-in-skills-acquisition-for-robotic-surgery
#12
Karen L Siroen, Christopher D W Ward, Abelardo Escoto, Michael D Naish, Yves Bureau, Rajni V Patel, Christopher M Schlachta, Sayra M Cristancho, Ana Luisa Trejos
BACKGROUND: Few studies compare the effectiveness of blocked vs random practice conditions in minimally invasive surgery training, and none have evaluated these in robotic surgery training. METHODS: The dV-Trainer(®) and the da Vinci(®) Surgical System (dVSS) were used to compare practice conditions. Forty-two participants were randomized into blocked and random practice groups. Each participant performed five tasks: Ring Walk, Thread the Rings, Needle Targeting, Suture Sponge and Tubes Level 2...
May 16, 2017: International Journal of Medical Robotics + Computer Assisted Surgery: MRCAS
https://www.readbyqxmd.com/read/28508076/machine-learning-of-accurate-energy-conserving-molecular-force-fields
#13
Stefan Chmiela, Alexandre Tkatchenko, Huziel E Sauceda, Igor Poltavsky, Kristof T Schütt, Klaus-Robert Müller
Using conservation of energy-a fundamental property of closed classical and quantum mechanical systems-we develop an efficient gradient-domain machine learning (GDML) approach to construct accurate molecular force fields using a restricted number of samples from ab initio molecular dynamics (AIMD) trajectories. The GDML implementation is able to reproduce global potential energy surfaces of intermediate-sized molecules with an accuracy of 0.3 kcal mol(-1) for energies and 1 kcal mol(-1) Å̊(-1) for atomic forces using only 1000 conformational geometries for training...
May 2017: Science Advances
https://www.readbyqxmd.com/read/28507695/ani-1-an-extensible-neural-network-potential-with-dft-accuracy-at-force-field-computational-cost
#14
J S Smith, O Isayev, A E Roitberg
Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI for short. ANI is a new method designed with the intent of developing transferable neural network potentials that utilize a highly-modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors (AEV) as a molecular representation...
April 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28507426/performance-of-high-school-students-in-a-laparoscopic-training-program
#15
Scott Furer, Sarah Alam, James Rosser
BACKGROUND AND OBJECTIVES: We hypothesized that high school students can be subjected to the same laparoscopic surgical training curriculum used by surgeons and successfully complete it. The goal of this study was to evaluate the appropriateness of early training in minimally invasive surgical techniques. METHODS: Thirteen high school students, ages 15-18, participated in the validated Top Gun Surgeon Laparoscopic Skills and Suturing program. The students performed 3 preparatory drills 10 times each...
April 2017: JSLS: Journal of the Society of Laparoendoscopic Surgeons
https://www.readbyqxmd.com/read/28507290/effects-of-the-non-parabolic-kinetic-energy-on-non-equilibrium-polariton-condensates
#16
F Pinsker, X Ruan, T J Alexander
In the study of non-equilibrium polariton condensates it is usually assumed that the dispersion relation of polaritons is parabolic in nature. We show that considering the true non-parabolic kinetic energy of polaritons leads to significant changes in the behaviour of the condensate due to the curvature of the dispersion relation and the possibility of transfer of energy to high wavenumber components in the condensate spatial profile. We present explicit solutions for plane waves and linear excitations, and identify the differences in the theoretical predictions between the parabolic and non-parabolic mean-field models, showing the possibility of symmetry breaking in the latter...
May 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28506442/boosting-syntax-training-with-temporally-regular-musical-primes-in-children-with-cochlear-implants
#17
N Bedoin, A-M Besombes, E Escande, A Dumont, P Lalitte, B Tillmann
OBJECTIVES: Previous research has suggested the use of rhythmic structures (implemented in musical material) to improve linguistic structure processing (i.e., syntax processing), in particular for populations showing deficits in syntax and temporal processing (e.g., children with developmental language disorders). The present study proposes a long-term training program to improve syntax processing in children with cochlear implants, a population showing syntax processing deficits in perception and production...
May 11, 2017: Annals of Physical and Rehabilitation Medicine
https://www.readbyqxmd.com/read/28503954/experiences-of-employment-among-young-people-with-juvenile-idiopathic-arthritis-a-qualitative-study
#18
Helen Hanson, Ruth I Hart, Ben Thompson, Janet E McDonagh, Rachel Tattersall, Alison Jordan, Helen E Foster
PURPOSE: This study explored expectations and experiences of employment among young people with juvenile idiopathic arthritis and the role of health professionals in promoting positive employment outcomes. METHODS: Semistructured interviews (n = 13) and three focus groups (n = 9, n = 4, n = 3) were conducted with young people (16-25 y) and adults (26-31 y) with juvenile idiopathic arthritis and semistructured interviews (n = 9) were conducted with health professionals...
May 13, 2017: Disability and Rehabilitation
https://www.readbyqxmd.com/read/28502585/frontoparietal-neurostimulation-modulates-working-memory-training-benefits-and-oscillatory-synchronization
#19
Kevin T Jones, Dwight J Peterson, Kara J Blacker, Marian E Berryhill
There is considerable interest in maintaining working memory (WM) because it is essential to accomplish most cognitive tasks, and it is correlated with fluid intelligence and ecologically valid measures of daily living. Toward this end, WM training protocols aim to improve WM capacity and extend improvements to unpracticed domains, yet success is limited. One emerging approach is to couple WM training with transcranial direct current stimulation (tDCS). This pairing of WM training with tDCS in longitudinal designs promotes behavioral improvement and evidence of transfer of performance gains to untrained WM tasks...
May 11, 2017: Brain Research
https://www.readbyqxmd.com/read/28501942/pulmonary-nodule-classification-with-deep-residual-networks
#20
Aiden Nibali, Zhen He, Dennis Wollersheim
PURPOSE  : Lung cancer has the highest death rate among all cancers in the USA. In this work we focus on improving the ability of computer-aided diagnosis (CAD) systems to predict the malignancy of nodules from cropped CT images of lung nodules. METHODS: We evaluate the effectiveness of very deep convolutional neural networks at the task of expert-level lung nodule malignancy classification. Using the state-of-the-art ResNet architecture as our basis, we explore the effect of curriculum learning, transfer learning, and varying network depth on the accuracy of malignancy classification...
May 13, 2017: International Journal of Computer Assisted Radiology and Surgery
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