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https://www.readbyqxmd.com/read/29781807/word-recognition-re-thinking-prosthetic-vision-evaluation
#1
Shui'Er Han, Cheng Qiu, Kassandra R Lee, JaeHyun Jung, Eli Peli
Evaluations of vision prostheses and sensory substitution devices have frequently relied on repeated training and testing with the same small set of items. These multiple forced-choice tasks have been shown to produce above chance performance in blind patients, but it is unclear if the observed performance represents restoration of vision that transfers to novel, untrained items. Here, we tested the generalizability of the forced-choice paradigm on the discrimination of low-resolution word images. Extensive visual training was conducted with the same 10 words used in previous BrainPort tongue stimulating studies...
May 21, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29780889/how-to-conceptualize-and-implement-a-phd-program-in-health-sciences-the-basel-approach
#2
Franziska Keller, Suzanne Dhaini, Matthias Briel, Sina Henrichs, Christoph Höchsmann, Daniel Kalbermatten, Nino Künzli, Annette Mollet, Christian Puelacher, Arno Schmidt-Trucksäss, Belinda von Niederhäusern, Sabina De Geest
Objectives: Over the past decade, several excellent guidelines have been published on how to enhance the quality of PhD education in Europe. Aimed primarily at preparing students for innovative roles in their fields, they include variously structured approaches to curricular offerings, as well as other program components applicable across specialties (eg: supervisor support, scientific conduct, transferable skills). Since 2012, the interdisciplinary PhD Program in Health Sciences (PPHS) at the Faculty of Medicine of the University of Basel in Switzerland has focused on translating these guidelines into a 21st-century health sciences PhD program...
January 2018: Journal of Medical Education and Curricular Development
https://www.readbyqxmd.com/read/29780336/brain-training-in-children-and-adolescents-is-it-scientifically-valid
#3
REVIEW
Teresa Rossignoli-Palomeque, Elena Perez-Hernandez, Javier González-Marqués
Background: Brain training products are becoming increasingly popular for children and adolescents. Despite the marketing aimed at their use in the general population, these products may provide more benefits for specific neurologically impaired populations. A review of Brain Training (BT) products analyzing their efficacy while considering the methodological limitations of supporting research is required for practical applications. Method: searches were made of the PubMed database (until March 2017) for studies including: (1) empirical data on the use of brain training for children or adolescents and any effects on near transfer (NT) and/or far transfer (FT) and/or neuroplasticity, (2) use of brain training for cognitive training purposes, (3) commercially available training applications, (4) computer-based programs for children developed since the 1990s, and (5) relevant printed and peer-reviewed material...
2018: Frontiers in Psychology
https://www.readbyqxmd.com/read/29779999/peer-assisted-learning-model-enhances-clinical-clerk-s-procedural-skills
#4
Chia-Chang Huang, Hui-Chi Hsu, Ling-Yu Yang, Chen-Huan Chen, Ying-Ying Yang, Ching-Chih Chang, Chiao-Lin Chuang, Wei-Shin Lee, Fa-Yauh Lee, Shinn-Jang Hwang
BACKGROUND: Failure to transfer procedural skills learned in a laboratory to the bedside is commonly due to a lack of peer support/stimulation. A digital platform (Facebook) allows new clinical clerks to share experiences and tips that help augment their procedural skills in a peer-assisted learning/teaching method. This study aims to investigate the effectiveness of the innovation of using the digital platform to support the transfer of laboratory-trained procedural skills in the clinical units...
May 17, 2018: Journal of the Chinese Medical Association: JCMA
https://www.readbyqxmd.com/read/29779546/state-legislative-approach-to-enumerating-behavioral-health-workforce-shortages-lessons-learned-in-new-mexico
#5
Deborah B Altschul, Caroline A Bonham, Martha J Faulkner, Amy W Farnbach Pearson, Jessica Reno, Wayne Lindstrom, Shelley M Alonso-Marsden, Annette Crisanti, Julie G Salvador, Richard Larson
Nationally, the behavioral health workforce is in crisis because of a lack of resources, culturally responsive services, quality clinical supervision, sufficient training in evidence-based practices, and targeted recruitment and retention. Disparities in access to behavioral health care are particularly significant in New Mexico, where 25% of the population live in rural areas, and behavioral health shortages are among the highest in the nation. Additionally, as a Medicaid expansion state, New Mexico providers experience increased demand for services at a time when the state is challenged with limited workforce capacity...
June 2018: American Journal of Preventive Medicine
https://www.readbyqxmd.com/read/29777356/visuospatial-abilities-and-fine-motor-experiences-influence-acquisition-and-maintenance-of-fundamentals-of-laparoscopic-surgery-fls-task-performance
#6
Cuan M Harrington, Patrick Dicker, Oscar Traynor, Dara O Kavanagh
BACKGROUND: Minimally invasive surgery poses a unique learning curve due to the requirement for non-intuitive psychomotor skills. The fundamentals of laparoscopic surgery (FLS) program trains and certifies residents in such skills. However, innate predictors of FLS performance and maintenance remain to be described. This single-centre observational study aimed to assess for candidate factors influencing the acquisition and maintenance of FLS performance amongst a surgically naïve cohort...
May 18, 2018: Surgical Endoscopy
https://www.readbyqxmd.com/read/29775951/retinal-blood-vessel-segmentation-using-fully-convolutional-network-with-transfer-learning
#7
Zhexin Jiang, Hao Zhang, Yi Wang, Seok-Bum Ko
Since the retinal blood vessel has been acknowledged as an indispensable element in both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of the retinal vessel tree has become the prerequisite step for automated or computer-aided diagnosis systems. In this paper, a supervised method is presented based on a pre-trained fully convolutional network through transfer learning. This proposed method has simplified the typical retinal vessel segmentation problem from full-size image segmentation to regional vessel element recognition and result merging...
April 26, 2018: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/29775623/unsupervised-visual-discrimination-learning-of-complex-stimuli-accuracy-bias-and-generalization
#8
Rodrigo Montefusco-Siegmund, Mauricio Toro, Pedro E Maldonado, María de la L Aylwin
Through same-different judgements, we can discriminate an immense variety of stimuli and consequently, they are critical in our everyday interaction with the environment. The quality of the judgements depends on familiarity with stimuli. A way to improve the discrimination is through learning, but to this day, we lack direct evidence of how learning shapes the same-different judgments with complex stimuli. We studied unsupervised visual discrimination learning in 42 participants, as they performed same-different judgments with two types of unfamiliar complex stimuli in the absence of labeling or individuation...
May 15, 2018: Vision Research
https://www.readbyqxmd.com/read/29775537/amplification-of-dynamic-nuclear-polarization-at-200-ghz-by-arbitrary-pulse-shaping-of-the-electron-spin-saturation-profile
#9
Ilia Kaminker, Songi Han
Dynamic nuclear polarization (DNP) takes center stage in nuclear magnetic resonance (NMR) as a tool to amplify its signal by orders of magnitude through the transfer of polarization from electron to nuclear spins. In contrast to modern NMR and electron paramagnetic resonance (EPR) that extensively rely on pulses for spin manipulation in the time domain, the current mainstream DNP technology exclusively relies on monochromatic continuous wave (CW) irradiation. This study introduces arbitrary phase shaped pulses that constitute a train of coherent chirp pulses in the time domain at 200 GHz (7 Tesla) to dramatically enhance the saturation bandwidth and DNP performance compared to CW DNP, yielding up to 500-fold in NMR signal enhancements...
May 18, 2018: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/29774597/assessment-of-the-generalization-of-learned-image-reconstruction-and-the-potential-for-transfer-learning
#10
Florian Knoll, Kerstin Hammernik, Erich Kobler, Thomas Pock, Michael P Recht, Daniel K Sodickson
PURPOSE: Although deep learning has shown great promise for MR image reconstruction, an open question regarding the success of this approach is the robustness in the case of deviations between training and test data. The goal of this study is to assess the influence of image contrast, SNR, and image content on the generalization of learned image reconstruction, and to demonstrate the potential for transfer learning. METHODS: Reconstructions were trained from undersampled data using data sets with varying SNR, sampling pattern, image contrast, and synthetic data generated from a public image database...
May 17, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29773659/modeling-leaderless-transcription-and-atypical-genes-results-in-more-accurate-gene-prediction-in-prokaryotes
#11
Alexandre Lomsadze, Karl Gemayel, Shiyuyun Tang, Mark Borodovsky
In a conventional view of the prokaryotic genome organization, promoters precede operons and RBS sites with Shine-Dalgarno consensus precede genes. However, recent experimental research suggesting a more diverse view motivated us to develop an algorithm with improved gene-finding accuracy. We describe GeneMarkS 2, an ab initio algorithm that uses a model derived by self-training for finding species-specific (native) genes, along with an array of pre-computed "heuristic" models designed to identify harder-to-detect genes (likely horizontally transferred)...
May 17, 2018: Genome Research
https://www.readbyqxmd.com/read/29772392/effects-of-task-repetition-but-no-transfer-of-inhibitory-control-training-in-healthy-adults
#12
Tobias Talanow, Ulrich Ettinger
Executive functions (EFs) comprise the updating, shifting and inhibition dimensions. According to the Unity and Diversity Model, the inhibition dimension is fully accounted for by a general EFs factor. This suggests that training of inhibition should transfer, in part, to updating and shifting. Therefore, we tested the effectiveness of a three-week inhibition training (high-conflict Stroop task) and explored near transfer effects to an untrained inhibition task (antisaccade task) and far transfer effects to untrained tasks demanding task-set shifting (number-letter-task), working memory updating (n-back task) and planning abilities (Stockings of Cambridge task)...
May 14, 2018: Acta Psychologica
https://www.readbyqxmd.com/read/29771738/prediction-of-transfer-among-multiple-states-of-blood-pressure-based-on-markov-model-an-18-year-cohort-study
#13
Yunfeng Wang, Zhimin Ma, Chaonan Xu, ZiKun Wang, Xinghua Yang
OBJECTIVE: This study aimed to identify the rules of transition between normotension, prehypertension and hypertension states and to establish a prediction model for the incidence of prehypertension and hypertension. METHODS: Data from the China Health and Nutrition Survey from 1991 to 2009 were used as training data to develop the model. Data of the year 2011 were used for model validation. The multistate Markov model was developed using the msm package in R software...
May 15, 2018: Journal of Hypertension
https://www.readbyqxmd.com/read/29771674/multisource-transfer-double-dqn-based-on-actor-learning
#14
Jie Pan, Xuesong Wang, Yuhu Cheng, Qiang Yu
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential role in the fields of artificial intelligence and machine learning. Since an RL agent needs to constantly interact with its surroundings, the deep Q network (DQN) is inevitably faced with the need to learn numerous network parameters, which results in low learning efficiency...
June 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29771354/methylation-guide-rna-evolution-in-archaea-structure-function-and-genomic-organization-of-110-c-d-box-srna-families-across-six-pyrobaculum-species
#15
Lauren M Lui, Andrew V Uzilov, David L Bernick, Andrea Corredor, Todd M Lowe, Patrick P Dennis
Archaeal homologs of eukaryotic C/D box small nucleolar RNAs (C/D box sRNAs) guide precise 2'-O-methyl modification of ribosomal and transfer RNAs. Although C/D box sRNA genes constitute one of the largest RNA gene families in archaeal thermophiles, most genomes have incomplete sRNA gene annotation because reliable, fully automated detection methods are not available. We expanded and curated a comprehensive gene set across six species of the crenarchaeal genus Pyrobaculum, particularly rich in C/D box sRNA genes...
May 16, 2018: Nucleic Acids Research
https://www.readbyqxmd.com/read/29770560/how-nurses-restore-and-maintain-mobility-in-hospitalised-older-people-an-integrative-literature-review
#16
Stephanie Constantin, Sherry Dahlke
AIM: The aim of this integrative review of the literature was to evaluate and summarise current research about how nurses maintain and improve hospitalised older peoples' mobility levels. BACKGROUND: Older persons make up the majority of healthcare recipients, and they are at risk to experience significant decline in their mobility once hospitalised. This can result in longer hospitalisations or nursing home admissions. Currently, it is not well understood how nurses maintain and restore mobility of hospitalised older persons...
May 17, 2018: International Journal of Older People Nursing
https://www.readbyqxmd.com/read/29770102/rolling-out-hiv-antiretroviral-therapy-in-sub-saharan-africa-2003-2017
#17
G Taylor
Multiple issues need to be addressed in order to control the HIV pandemic in sub-Saharan Africa. Combination antiretroviral therapy (cART) is key to reducing morbidity and mortality among people living with HIV and has a role in preventing HIV transmission. However, access to cART is very unevenly distributed globally, especially in sub-Saharan Africa. Although cost of cART is no longer a major barrier as effective treatment can be had for under US$100 per year, HIV management is compromised by the inadequate number of trained clinicians, the lack of clinical and laboratory infrastructure and the increased prevalence of co-morbidities (e...
February 1, 2018: Canada Communicable Disease Report, Relevé des Maladies Transmissibles Au Canada
https://www.readbyqxmd.com/read/29768990/control-of-a-7-dof-robotic-arm-system-with-an-ssvep-based-bci
#18
Xiaogang Chen, Bing Zhao, Yijun Wang, Shengpu Xu, Xiaorong Gao
Although robot technology has been successfully used to empower people who suffer from motor disabilities to increase their interaction with their physical environment, it remains a challenge for individuals with severe motor impairment, who do not have the motor control ability to move robots or prosthetic devices by manual control. In this study, to mitigate this issue, a noninvasive brain-computer interface (BCI)-based robotic arm control system using gaze based steady-state visual evoked potential (SSVEP) was designed and implemented using a portable wireless electroencephalogram (EEG) system...
April 12, 2018: International Journal of Neural Systems
https://www.readbyqxmd.com/read/29768096/lower-extremity-muscle-function-of-front-row-rugby-union-scrummaging
#19
Mostafa Yaghoubi, Sally D Lark, Wyatt H Page, Philip W Fink, Sarah P Shultz
A rugby scrum's front row must act uniformly to transfer maximal horizontal force and improve performance. This study investigated the muscle activation patterns of lower extremity muscles in front row forwards during live and machine scrums at professional and amateur levels. Electromyography was collected bilaterally on vastus lateralis, rectus femoris and gastrocnemius muscles of 75 male rugby prop players during live and machine scrums. ANOVAs compared muscle reaction time, rate of change in muscle amplitude and muscle amplitude between groups and conditions...
May 16, 2018: Sports Biomechanics
https://www.readbyqxmd.com/read/29767569/teaching-tip-development-of-veterinary-anesthesia-simulations-for-pre-clinical-training-design-implementation-and-evaluation-based-on-student-perspectives
#20
Jana L Jones, Jim Rinehart, Jacqueline Jordan Spiegel, Ryane E Englar, Brian K Sidaway, Joie Rowles
Anesthesia simulations have been used in pre-clinical medical training for decades to help learners gain confidence and expertise in an operating room environment without danger to a live patient. The authors describe a veterinary anesthesia simulation environment (VASE) with anesthesia scenarios developed to provide a re-creation of a veterinarian's task environment while performing anesthesia. The VASE uses advanced computer technology with simulator inputs provided from standard monitoring equipment in common use during veterinary anesthesia and a commercial canine training mannequin that allows intubation, ventilation, and venous access...
2018: Journal of Veterinary Medical Education
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