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https://www.readbyqxmd.com/read/28817395/echo-pain-curriculum-balancing-mandated-continuing-education-with-the-needs-of-rural-health-care-practitioners
#1
Brian M Shelley, Joanna G Katzman, George D Comerci, Daniel J Duhigg, Cynthia Olivas, Summers Kalishman, Rebecca Monette, Melissa Britt, Lainey Flatow-Trujillo, Sanjeev Arora
Chronic pain is a common problem in the United States. Health care professions training at the undergraduate and graduate levels in managing chronic pain is insufficient. The Chronic Pain and Headache Management TeleECHO Clinic (ECHO Pain) is a telehealth approach at Project ECHO (Extension for Community Healthcare Outcomes), which supports clinicians interested in improving their knowledge and confidence in treating patients with chronic pain and safe opioid management. It is a vehicle for educating practicing clinicians (at the "spoke") based on work-place learning with cases selected by participants from their patient panels combined with short lectures by experts (at the "hub")...
August 16, 2017: Journal of Continuing Education in the Health Professions
https://www.readbyqxmd.com/read/28816675/adaboost-llp-a-boosting-method-for-learning-with-label-proportions
#2
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
How to solve the classification problem with only label proportions has recently drawn increasing attention in the machine learning field. In this paper, we propose an ensemble learning strategy to deal with the learning problem with label proportions (LLP). In detail, we first give a loss function based on different weights for LLP, and then construct the corresponding weak classifier, at the same time, estimate its conditional probabilities by a standard logistic function. At last, by introducing the maximum likelihood estimation, we propose a new anyboost learning system for LLP (called Adaboost-LLP)...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816670/colorization-using-neural-network-ensemble
#3
Zezhou Cheng, Qingxiong Yang, Bin Sheng
This paper investigates into the colorization problem which converts a grayscale image to a colorful version. This is a difficult problem and normally requires manual adjustment to achieve artifact-free quality. For instance, it normally requires human-labelled color scribbles on the grayscale target image or a careful selection of colorful reference images. The recent learning-based colorization techniques automatically colorize a grayscale image using a single neural network. Since different scenes usually have distinct color styles, it is difficult to accurately capture the color characteristics using a single neural network...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816474/deficits-in-category-learning-in-older-adults-rule-based-versus-clustering-accounts
#4
Stephen P Badham, Adam N Sanborn, Elizabeth A Maylor
Memory research has long been one of the key areas of investigation for cognitive aging researchers but only in the last decade or so has categorization been used to understand age differences in cognition. Categorization tasks focus more heavily on the grouping and organization of items in memory, and often on the process of learning relationships through trial and error. Categorization studies allow researchers to more accurately characterize age differences in cognition: whether older adults show declines in the way in which they represent categories with simple rules or declines in representing categories by similarity to past examples...
August 2017: Psychology and Aging
https://www.readbyqxmd.com/read/28815609/the-academic-practice-gap-strategies-for-an-enduring-problem
#5
C L Huston, B Phillips, P Jeffries, C Todero, J Rich, P Knecht, S Sommer, M P Lewis
The academic-practice gap in nursing is well documented. Academe is criticized for producing nurses insufficiently prepared to fully participate in patient care. Practice settings are criticized for having unrealistic expectations of new graduates. This article is based on a review of the literature and an exploration of contemporary practices used to bridge academic and practice partnerships. Differences in outcome expectations for new graduates between academe and practice are outlined and consequences of the gap for new graduates, patients, and employers are discussed...
August 16, 2017: Nursing Forum
https://www.readbyqxmd.com/read/28815260/-improving-the-teaching-quality-by-multiple-tools-and-technology-in-oral-histopathology-experimental-course
#6
Zhen Tian, Li-Zhen Wang, Yu-Hua Hu, Chun-Ye Zhang, Jiang Li
PURPOSES: Oral histopathology is a course which needs to be combined with theory and practice closely. Experimental course plays an important role in teaching oral histopathology. Here, we aim to explore a series of effective measures to improve the teaching quality of experimental course and tried to train observation, thinking, analysis and problem solving skills of dental students. METHODS: We re-edited and updated the experimental textbook "guidelines of experimental course of oral histopathology", and published the reference book for experimental course--"color pocket atlas of oral histopathology: experiment and diadactic teaching"...
April 2017: Shanghai Kou Qiang Yi Xue, Shanghai Journal of Stomatology
https://www.readbyqxmd.com/read/28813938/online-sparse-gaussian-process-based-human-motion-intent-learning-for-an-electrically-actuated-lower-extremity-exoskeleton
#7
Yi Long, Zhi-Jiang Du, Chao-Feng Chen, Wei Dong, Wei-Dong Wang
The most important step for lower extremity exoskeleton is to infer human motion intent (HMI), which contributes to achieve human exoskeleton collaboration. Since the user is in the control loop, the relationship between human robot interaction (HRI) information and HMI is nonlinear and complicated, which is difficult to be modeled by using mathematical approaches. The nonlinear approximation can be learned by using machine learning approaches. Gaussian Process (GP) regression is suitable for high-dimensional and small-sample nonlinear regression problems...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813874/effect-of-human-robot-interaction-on-muscular-synergies-on-healthy-people-and-post-stroke-chronic-patients
#8
A Scano, A Chiavenna, M Caimmi, M Malosio, L M Tosatti, F Molteni
Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is commonly accepted that robot-based therapies are potentially helpful, strong insights about their efficacy are still lacking. The motor re-learning process may act on muscular synergies, which are groups of co-activating muscles that, being controlled as a synergic group, allow simplifying the problem of motor control. In fact, by coordinating a reduced amount of neural signals, complex motor patterns can be elicited...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813454/applying-machine-learning-to-identify-autistic-adults-using-imitation-an-exploratory-study
#9
Baihua Li, Arjun Sharma, James Meng, Senthil Purushwalkam, Emma Gowen
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinematic characteristics in the movement patterns of autistic individuals are poorly studied, preventing advances in understanding the aetiology of motor impairment, or whether a wider range of motor characteristics could be used for diagnosis. The aim of this study was to investigate whether data-driven machine learning based methods could be used to address some fundamental problems with regard to identifying discriminative test conditions and kinematic parameters to classify between ASC and neurotypical controls...
2017: PloS One
https://www.readbyqxmd.com/read/28813277/incredible-years-parenting-interventions-current-effectiveness-research-and-future-directions
#10
REVIEW
Frances Gardner, Patty Leijten
The Incredible Years parenting intervention is a social learning theory-based programme for reducing children's conduct problems. Dozens of randomized trials, many by independent investigators, find consistent effects of Incredible Years on children's conduct problems across multiple countries and settings. However, in common with other interventions, these average effects hide much variability in the responses of individual children and families. Innovative moderator research is needed to enhance scientific understanding of why individual children and parents respond differently to intervention...
June 2017: Current Opinion in Psychology
https://www.readbyqxmd.com/read/28813260/pairing-attachment-theory-and-social-learning-theory-in-video-feedback-intervention-to-promote-positive-parenting
#11
REVIEW
Femmie Juffer, Marian J Bakermans-Kranenburg, Marinus H van IJzendoorn
Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) is a social-learning and attachment-based intervention using video feedback to support sensitive parenting and at the same time setting firm limits. Empirical studies and meta-analyses have shown that sensitive parenting is the key determinant to promote secure child-parent attachment relationships and that adequate parental discipline contributes to fewer behavior problems in children. Building on this evidence, VIPP-SD has been tested in various populations of at-risk parents and vulnerable children (in the age range of zero to six years), as well as in the context of child care...
June 2017: Current Opinion in Psychology
https://www.readbyqxmd.com/read/28809716/structured-weak-semantic-space-construction-for-visual-categorization
#12
Chunjie Zhang, Jian Cheng, Qi Tian
Visual features have been widely used for image representation and categorization. However, visual features are often inconsistent with human perception. Besides, constructing explicit semantic space is still an open problem. To alleviate these two problems, in this paper, we propose to construct structured weak semantic space for image representation. Exemplar classifier is first trained to separate each training image from other images for weak semantic space construction. However, each exemplar classifier separates one training image from other images, and it only has limited semantic separability...
August 11, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28809672/photorealistic-monocular-gaze-redirection-using-machine-learning
#13
Daniil Kononenko, Yaroslav Ganin, Diana Sungatullina, Victor Lempitsky
We propose a general approach to the gaze redirection problem in images that utilizes machine learning. The idea is to learn to re-synthesize images by training on pairs of images with known disparities between gaze directions. We show that such learning-based re-synthesis can achieve convincing gaze redirection based on monocular input, and that the learned systems generalize well to people and imaging conditions unseen during training.
August 14, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28806718/stochastic-separation-theorems
#14
A N Gorban, I Y Tyukin
The problem of non-iterative one-shot and non-destructive correction of unavoidable mistakes arises in all Artificial Intelligence applications in the real world. Its solution requires robust separation of samples with errors from samples where the system works properly. We demonstrate that in (moderately) high dimension this separation could be achieved with probability close to one by linear discriminants. Based on fundamental properties of measure concentration, we show that for M<aexp(bn) random M-element sets in R(n) are linearly separable with probability p, p>1-ϑ, where 1>ϑ>0 is a given small constant...
July 31, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28806715/recurrent-networks-with-soft-thresholding-nonlinearities-for-lightweight-coding
#15
MohammadMehdi Kafashan, ShiNung Ching
A long-standing and influential hypothesis in neural information processing is that early sensory networks adapt themselves to produce efficient codes of afferent inputs. Here, we show how a nonlinear recurrent network provides an optimal solution for the efficient coding of an afferent input and its history. We specifically consider the problem of producing lightweight codes, ones that minimize both ℓ1 and ℓ2 constraints on sparsity and energy, respectively. When embedded in a linear coding paradigm, this problem results in a non-smooth convex optimization problem...
July 22, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28804468/individual-difference-factors-in-the-learning-and-transfer-of-patterning-discriminations
#16
Elisa Maes, Elias Vanderoost, Rudi D'Hooge, Jan De Houwer, Tom Beckers
In an associative patterning task, some people seem to focus more on learning an overarching rule, whereas others seem to focus on acquiring specific relations between the stimuli and outcomes involved. Building on earlier work, we further investigated which cognitive factors are involved in feature- vs. rule-based learning and generalization. To this end, we measured participants' tendency to generalize according to the rule of opposites after training on negative and positive patterning problems (i.e., A+/B+/AB- and C-/D-/CD+), their tendency to attend to global aspects or local details of stimuli, their systemizing disposition and their score on the Raven intelligence test...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28803947/monitoring-stress-with-a-wrist-device-using-context
#17
Martin Gjoreski, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski
Being able to detect stress as it occurs can greatly contribute to dealing with its negative health and economic consequences. However, detecting stress in real life with an unobtrusive wrist device is a challenging task. The objective of this study is to develop a method for stress detection that can accurately, continuously and unobtrusively monitor psychological stress in real life. First, we explore the problem of stress detection using machine learning and signal processing techniques in laboratory conditions, and then we apply the extracted laboratory knowledge to real-life data...
August 10, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28803226/nursing-students-and-faculty-members-experiences-of-comfort-during-transition-to-context-based-learning
#18
Vivian Puplampu
There is evidence supporting student-centered learning (SCL) as an effective pedagogy to prepare professionals to work in the evolving health care system of the twenty-first century. SCL has many benefits, among them that it helps students to learn to work in teams and develop problem-solving, critical thinking and communication skills. The focus on the student means that the teacher's power is decreased. This, along with openness of the approach, can make the transition to SCL a challenge. This study used an exploratory descriptive qualitative design to explore how comfortable nursing students and faculty members were in a context-based learning (CBL) program, a version of SCL...
July 28, 2017: International Journal of Nursing Education Scholarship
https://www.readbyqxmd.com/read/28802162/efficient-dynamic-graph-construction-for-inductive-semi-supervised-learning
#19
F Dornaika, R Dahbi, A Bosaghzadeh, Y Ruichek
Most of graph construction techniques assume a transductive setting in which the whole data collection is available at construction time. Addressing graph construction for inductive setting, in which data are coming sequentially, has received much less attention. For inductive settings, constructing the graph from scratch can be very time consuming. This paper introduces a generic framework that is able to make any graph construction method incremental. This framework yields an efficient and dynamic graph construction method that adds new samples (labeled or unlabeled) to a previously constructed graph...
July 24, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28799688/developing-a-program-for-enhancing-youth-hiv-treatment-adherence-and-risk-reduction
#20
Warunee Fongkaew, Warawan Udomkhamsuk, Nongkran Viseskul, Marisa Guptaruk
Youth living with HIV face difficult and challenging situations that decrease their adherence to antiretroviral medications. In this study, we developed a pilot program to enhance HIV treatment adherence and risk reduction among youth living with HIV based on collaboration with a community hospital involving a multi-disciplinary healthcare team. Participants were 25 youth living with HIV/AIDS, 18 caregivers, and 12 healthcare providers. The action research process comprised a preliminary stage and four phases of assessment, planning, implementation, and evaluation...
August 11, 2017: Nursing & Health Sciences
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