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https://www.readbyqxmd.com/read/28818075/perspectives-of-basic-wheelchair-users-on-improving-their-access-to-wheelchair-services-in-kenya-and-philippines-a-qualitative-study
#1
Emma Williams, Elizabeth Hurwitz, Immaculate Obaga, Brenda Onguti, Adovich Rivera, Tyrone Reden L Sy, R Lee Kirby, Jamie Noon, Deepti Tanuku, Anthony Gichangi, Eva Bazant
BACKGROUND: The United Nations has called for countries to improve access to mobility devices when needed. The World Health Organization has published guidelines on the provision of manual wheelchairs in less-resourced settings. Yet little is known about the extent to which appropriate wheelchairs are available and provided according to international guidelines. This study's purpose was to describe wheelchair users' experiences receiving services and acquiring wheelchair skills in urban and peri-urban areas of Kenya and the Philippines...
August 17, 2017: BMC International Health and Human Rights
https://www.readbyqxmd.com/read/28817513/from-start-up-to-sustainability-a-decade-of-collaboration-to-shape-the-future-of-nursing
#2
Paula Gubrud, Angela G Spencer, Linda Wagner
AIM: This article describes progress the Oregon Consortium for Nursing Education has made toward addressing the academic progression goals provided by the 2011 Institute of Medicine's Future of Nursing: Leading Change, Advancing Health report. BACKGROUND: The history of the consortium's development is described, emphasizing the creation of an efficient and sustainable organization infrastructure that supports a shared curriculum provided through a community college/university partnership...
September 2017: Nursing Education Perspectives
https://www.readbyqxmd.com/read/28817247/assessing-predictions-of-fitness-effects-of-missense-mutations-in-sumo-conjugating-enzyme-ube2i
#3
Jing Zhang, Lisa N Kinch, Qian Cong, Jochen Weile, Song Sun, Atina G Cote, Frederick P Roth, Nick V Grishin
The exponential growth of genomic variants uncovered by next-generation sequencing necessitates efficient and accurate computational analyses to predict their functional effects. A number of computational methods have been developed for the task, but few unbiased comparisons of their performance are available. To fill the gap, The Critical Assessment of Genome Interpretation (CAGI) comprehensively assesses phenotypic predictions on newly collected experimental datasets. Here, we present the results of the SUMO conjugase challenge where participants were predicting functional effects of missense mutations in human SUMO-conjugating enzyme UBE2I...
September 2017: Human Mutation
https://www.readbyqxmd.com/read/28816682/rank-k-2-d-multinomial-logistic-regression-for-matrix-data-classification
#4
Kun Song, Feiping Nie, Junwei Han, Xuelong Li
The amount of matrix data has increased rapidly nowadays. How to classify matrix data efficiently is an important issue. In this paper, by discovering the shortages of 2-D linear discriminant analysis and 2-D logistic regression, a novel 2-D framework named rank-k 2-D multinomial logistic regression (2DMLR-RK) is proposed. The 2DMLR-RK is designed for a multiclass matrix classification problem. In the proposed framework, each category is modeled by a left projection matrix and a right projection matrix with rank k...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816675/adaboost-llp-a-boosting-method-for-learning-with-label-proportions
#5
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/28816668/fast-open-world-person-re-identification
#6
Xiatian Zhu, Botong Wu, Dongcheng Huang, Wei-Shi Zheng
Existing person re-identification (re-id) methods typically assume that (1) any probe person is guaranteed to appear in the gallery target population during deployment (i.e. closed-world), and (2) the probe set contains only a limited number of people (i.e. small search scale). Both assumptions are artificial and breached in real-world applications, since the probe population in target people search can be extremely vast in practice due to the ambiguity of probe search space boundary. Therefore, it is unrealistic that any probe person is assumed as one target people, and a large-scale search in person images is inherently demanded...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28815129/sdt-a-tree-method-for-detecting-patient-subgroups-with-personalized-risk-factors
#7
Xiangrui Li, Dongxiao Zhu, Ming Dong, Milad Zafar Nezhad, Alexander Janke, Phillip D Levy
Eradicating health disparity is a new focus for precision medicine research. Identifying patient subgroups is an effective approach to customized treatments for maximizing efficiency in precision medicine. Some features may be important risk factors for specific patient subgroups but not necessarily for others, resulting in a potential divergence in treatments designed for a given population. In this paper, we propose a tree-based method, called Subgroup Detection Tree (SDT), to detect patient subgroups with personalized risk factors...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28814611/homing-pigeons-columba-livia-modulate-wingbeat-characteristics-as-a-function-of-route-familiarity
#8
Lucy A Taylor, Steven J Portugal, Dora Biro
Mechanisms of avian navigation have received considerable attention, but whether different navigational strategies are accompanied by different flight characteristics is unknown. Managing energy expenditure is critical for survival; therefore, understanding how flight characteristics, and hence energy allocation, potentially change with birds' familiarity with a navigational task could provide key insights into the costs of orientation. We addressed this question by examining changes in the wingbeat characteristics and airspeed of homing pigeons (Columba livia) as they learned a homing task...
August 15, 2017: Journal of Experimental Biology
https://www.readbyqxmd.com/read/28814435/adaptive-global-innovative-learning-environment-for-glioblastoma-gbm-agile
#9
Brian M Alexander, Sujuan Ba, Mitchel S Berger, Donald A Berry, Webster K Cavenee, Susan M Chang, Timothy F Cloughesy, Tao Jiang, Mustafa Khasraw, Wenbin Li, Robert Mittman, George H Poste, Patrick Y Wen, W K Alfred Yung, Anna D Barker
Glioblastoma (GBM) is a deadly disease with few effective therapies. While much has been learned about the molecular characteristics of the disease, this knowledge has not been translated into clinical improvements for patients. At the same time, many new therapies are being developed. Many of these therapies have potential biomarkers to identify responders. The result is an enormous amount of testable clinical questions that must be answered efficiently. The GBM Adaptive Global Innovative Learning Environment (GBM AGILE) is a novel, multi-arm, platform trial designed to address these challenges...
August 16, 2017: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#10
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813969/prediction-of-user-preference-over-shared-control-paradigms-for-a-robotic-wheelchair
#11
Ahmetcan Erdogan, Brenna D Argall
The design of intelligent powered wheelchairs has traditionally focused heavily on providing effective and efficient navigation assistance. Significantly less attention has been given to the end-user's preference between different assistance paradigms. It is possible to include these subjective evaluations in the design process, for example by soliciting feedback in post-experiment questionnaires. However, constantly querying the user for feedback during real-world operation is not practical. In this paper, we present a model that correlates objective performance metrics and subjective evaluations of autonomous wheelchair control paradigms...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813944/robotic-set-up-to-quantify-hand-eye-behavior-in-motor-execution-and-learning-of-children-with-autism-spectrum-disorder
#12
Claudia Casellato, Marta Gandolla, Alessandro Crippa, Alessandra Pedrocchi
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not objectively assessed. Most studies showed inefficient eye-hand coordination and motor learning in children with ASD; in other experiments, mechanisms of acquisition of internal models in self-generated movements appeared to be normal in autism. In this framework, we have developed a robotic protocol, recording gaze and hand data during upper limb tasks, in which a haptic pen-like handle is moved along specific trajectories displayed on the screen...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813257/social-learning-parenting-intervention-research-in-the-era-of-translational-neuroscience
#13
REVIEW
Philip A Fisher, Elizabeth A Skowron
In the decades since social learning parenting interventions emerged, many evidence-based programs have been implemented at scale in community settings, and much research is now focusing on ways to maintain fidelity and impact during the implementation process. Notably, a considerable amount of theoretical confluence has occurred in parenting interventions from social learning, attachment, and other theoretical perspectives, with parent coaching as an example of this new generation of relational interventions...
June 2017: Current Opinion in Psychology
https://www.readbyqxmd.com/read/28812976/learning-and-recognition-of-tactile-temporal-sequences-by-mice-and-humans
#14
Michael R Bale, Malamati Bitzidou, Anna Pitas, Leonie S Brebner, Lina Khazim, Stavros T Anagnou, Caitlin D Stevenson, Miguel Maravall
The world around us is replete with stimuli that unfold over time. When we hear an auditory stream like music or speech or scan a texture with our fingertip, physical features in the stimulus are concatenated in a particular order. This temporal patterning is critical to interpreting the stimulus. To explore the capacity of mice and humans to learn tactile sequences, we developed a task in which subjects had to recognise a continuous modulated noise sequence delivered to whiskers or fingertips, defined by its temporal patterning over hundreds of milliseconds...
August 16, 2017: ELife
https://www.readbyqxmd.com/read/28812881/predicting-microbial-fuel-cell-biofilm-communities-and-bioreactor-performance-using-artificial-neural-networks
#15
Keaton Larson Lesnik, Hong Liu
The complex interactions that occur in mixed-species bioelectrochemical reactors, like microbial fuel cells (MFCs), make accurate predictions of performance outcomes under untested conditions difficult. While direct correlations between any individual waste stream characteristic or microbial community structure and reactor performance have not been able to be directly established, the increase in sequencing data and readily available computational power enables the development of alternate approaches. In the current study, 33 MFCs were evaluated under a range of conditions including 8 separate substrates and 3 different wastewaters...
August 16, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28812630/our-path-to-better-science-in-less-time-using-open-data-science-tools
#16
Julia S Stewart Lowndes, Benjamin D Best, Courtney Scarborough, Jamie C Afflerbach, Melanie R Frazier, Casey C O'Hara, Ning Jiang, Benjamin S Halpern
Reproducibility has long been a tenet of science but has been challenging to achieve-we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same-so we can all produce better science in less time...
May 23, 2017: Nature ecology & evolution
https://www.readbyqxmd.com/read/28812154/robotic-versus-laparoscopic-versus-open-colorectal-surgery-towards-defining-criteria-to-the-right-choice
#17
Matthew Zelhart, Andreas M Kaiser
OBJECTIVE: Analysis of various parameters related to the patient, the disease, and the needed surgical maneuvers to develop guidance for preoperative selection of the appropriate and the best approach for a given patient. Rapid advances in minimally invasive surgical technology are fascinating and challenging alike. It can be difficult for surgeons to keep up with new modalities that come on to the market place and to assess their true value, i.e., distinguish between fashionable trends versus scientific evidence...
August 15, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28811481/leaky-integrate-and-fire-neuron-by-charge-discharge-dynamics-in-floating-body-mosfet
#18
Sangya Dutta, Vinay Kumar, Aditya Shukla, Nihar R Mohapatra, Udayan Ganguly
Neuro-biology inspired Spiking Neural Network (SNN) enables efficient learning and recognition tasks. To achieve a large scale network akin to biology, a power and area efficient electronic neuron is essential. Earlier, we had demonstrated an LIF neuron by a novel 4-terminal impact ionization based n+/p/n+ with an extended gate (gated-INPN) device by physics simulation. Excellent improvement in area and power compared to conventional analog circuit implementations was observed. In this paper, we propose and experimentally demonstrate a compact conventional 3-terminal partially depleted (PD) SOI- MOSFET (100 nm gate length) to replace the 4-terminal gated-INPN device...
August 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28809716/structured-weak-semantic-space-construction-for-visual-categorization
#19
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/28808825/integrating-planning-perception-and-action-for-informed-object-search
#20
Luis J Manso, Marco A Gutierrez, Pablo Bustos, Pilar Bachiller
This paper presents a method to reduce the time spent by a robot with cognitive abilities when looking for objects in unknown locations. It describes how machine learning techniques can be used to decide which places should be inspected first, based on images that the robot acquires passively. The proposal is composed of two concurrent processes. The first one uses the aforementioned images to generate a description of the types of objects found in each object container seen by the robot. This is done passively, regardless of the task being performed...
August 14, 2017: Cognitive Processing
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