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https://www.readbyqxmd.com/read/28650700/the-size-and-scope-of-collegiate-athletic-training-facilities-and-staffing
#1
Andrew R Gallucci, Jeffrey C Petersen
CONTEXT:   Athletic training facilities have been described in terms of general design concepts and from operational perspectives. However, the size and scope of athletic training facilities, along with staffing at different levels of intercollegiate competition, have not been quantified. OBJECTIVE:   To define the size and scope of athletic training facilities and staffing levels at various levels of intercollegiate competition. To determine if differences existed in facilities (eg, number of facilities, size of facilities) and staffing (eg, full time, part time) based on the level of intercollegiate competition...
June 26, 2017: Journal of Athletic Training
https://www.readbyqxmd.com/read/28648605/a-semi-supervised-approach-using-label-propagation-to-support-citation-screening
#2
Georgios Kontonatsios, Austin J Brockmeier, Piotr Przybyła, John McNaught, Tingting Mu, John Y Goulermas, Sophia Ananiadou
Citation screening, an integral process within systematic reviews that identifies citations relevant to the underlying research question, is a time-consuming and resource-intensive task. During the screening task, analysts manually assign a label to each citation, to designate whether a citation is eligible for inclusion in the review. Recently, several studies have explored the use of active learning in text classification to reduce the human workload involved in the screening task. However, existing approaches require a significant amount of manually labelled citations for the text classification to achieve a robust performance...
June 22, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28647404/patient-centered-outcomes-and-treatment-preferences-regarding-sexual-problems-a-qualitative-study-among-midlife-women
#3
Holly N Thomas, Megan Hamm, Rachel Hess, Sonya Borrero, Rebecca C Thurston
BACKGROUND: Sexual dysfunction is common in midlife women and can have a significant negative impact on quality of life. Although treatments exist, there is little research on which sexual function outcomes and treatments midlife women prefer. AIM: To better understand the sexual function outcomes that were most important to sexually active women 45 to 60 years old and the types of treatments they would prefer from individual interviews and focus groups. METHODS: Twenty individual interviews and three focus groups (N = 39) were led by a trained facilitator, audio recorded, and transcribed...
June 21, 2017: Journal of Sexual Medicine
https://www.readbyqxmd.com/read/28646763/deep-neural-mapping-support-vector-machines
#4
Yujian Li, Ting Zhang
The choice of kernel has an important effect on the performance of a support vector machine (SVM). The effect could be reduced by NEUROSVM, an architecture using multilayer perceptron for feature extraction and SVM for classification. In binary classification, a general linear kernel NEUROSVM can be theoretically simplified as an input layer, many hidden layers, and an SVM output layer. As a feature extractor, the sub-network composed of the input and hidden layers is first trained together with a virtual ordinary output layer by backpropagation, then with the output of its last hidden layer taken as input of the SVM classifier for further training separately...
June 21, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28644806/discriminative-deep-metric-learning-for-face-and-kinship-verification
#5
Jiwen Lu, Junlin Hu, Yap-Peng Tan
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric learning methods aim to learn a single Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, which cannot capture the nonlinear manifold where face images usually lie on. To address this, we propose a DDML method to train a deep neural network to learn a set of hierarchical nonlinear transformations to project face pairs into the same latent feature space, under which the distance of each positive pair is reduced and that of each negative pair is enlarged, respectively...
June 20, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28644783/how-should-integrity-preservation-and-professional-growth-be-balanced-during-trainees-professionalization
#6
Eli Weber, Sharon Gray
People can experience moral distress when they regard themselves as expected to pursue a course of action they believe to be morally wrong. However, beliefs that give rise to moral distress are sometimes underdeveloped. Experiences of moral distress are not uncommon for medical trainees, who are still in the process of forming their professional identities and whose identity-constituting beliefs might therefore be subject to ongoing revision. Thus, it is important for health professions training programs to incorporate case-based ethics education sessions into their structure to help identify and alleviate trainees' moral distress, provide ethics education, and create a "safe space" for trainees to talk openly about moral concerns related to clinical practice...
June 1, 2017: AMA Journal of Ethics
https://www.readbyqxmd.com/read/28644414/benefits-facilitators-barriers-and-strategies-to-improve-pesticide-protective-behaviors-insights-from-farmworkers-in-north-carolina-tobacco-fields
#7
AnnMarie Lee Walton, Catherine E LePrevost, Laura Linnan, Ana Sanchez-Birkhead, Kathi Mooney
Pesticide exposure is associated with deleterious health effects. Prior studies suggest Latino farmworkers perceive little control over their occupational health. Using the Health Belief Model as a theoretical guide, we explored the perceptions of Latino farmworkers working in tobacco in North Carolina (n = 72) about benefits and facilitators of pesticide protective behaviors as well as barriers, and strategies to overcome barriers to their use. Interviews were conducted with participants at farmworker housing during non-work time...
June 23, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28643052/the-spaced-learning-concept-significantly-improves-training-for-laparoscopic-suturing-a-pilot-randomized-controlled-study
#8
Michael Boettcher, Johannes Boettcher, Stefan Mietzsch, Thomas Krebs, Robert Bergholz, Konrad Reinshagen
BACKGROUND: Spaced learning has been shown to be effective in various areas like traditional knowledge or motor skill acquisition. To evaluate the impact of implementation of the spaced learning concept in laparoscopic training was the aim of this study. METHODS: To evaluate the effectiveness of spaced learning, subjects were asked to perform four surgeon's square knots on a bowel model prior and post 3 h of hands-on training. All subjects were medical students and novice in laparoscopic suturing...
June 22, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28641680/ophthalmological-evaluation-of-integrated-resistance-and-aerobic-training-during-70-day-bed-rest
#9
Giovanni Taibbi, Ronita L Cromwell, Susana B Zanello, Patrice O Yarbough, Robert J Ploutz-Snyder, Bernard F Godley, Gianmarco Vizzeri
INTRODUCTION: We evaluated ophthalmic changes in healthy individuals who underwent integrated resistance and aerobic training (iRAT) during 70-d 6° head-down tilt (HDT) bed rest (BR). METHODS: Participants were selected using NASA standard screening procedures. Standardized NASA BR conditions were implemented. Subjects were randomly assigned to the iRAT protocol or no exercise during HDTBR. Weekly ophthalmic examinations were performed in the sitting (pre/post-BR only) and HDT (BR only) positions...
July 1, 2017: Aerospace Medicine and Human Performance
https://www.readbyqxmd.com/read/28641251/robust-face-recognition-with-kernelized-locality-sensitive-group-sparsity-representation
#10
Shoubiao Tan, Xi Sun, Wentao Chan, Lei Qu, Ling Shao
In this paper, a novel joint sparse representation method is proposed for robust face recognition. We embed both group sparsity and kernelized locality-sensitive constraints into the framework of sparse representation. The group sparsity constraint is designed to utilize the grouped structure information in the training data. The local similarity between test and training data is measured in the kernel space instead of the Euclidian space. As a result, the embedded nonlinear information can be effectively captured, leading to a more discriminative representation...
June 15, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28641244/computerized-lung-sound-screening-for-pediatric-auscultation-in-noisy-field-environments
#11
Dimitra Emmanouilidou, Eric D McCollum, Daniel E Park, Mounya Elhilali
GOAL: Chest auscultations offer a non-invasive and low-cost tool for monitoring lung disease. However, they present many shortcomings including inter-listener variability, subjectivity, and vulnerability to noise and distortions. The current work proposes a computer-aided approach to process lung signals acquired in the field under adverse noisy conditions, by improving the signal quality and offering automated iden- tification of abnormal auscultations indicative of respiratory pathologies...
June 19, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28638700/vowel-decoding-from-single-trial-speech-evoked-electrophysiological-responses-a-feature-based-machine-learning-approach
#12
Han G Yi, Zilong Xie, Rachel Reetzke, Alexandros G Dimakis, Bharath Chandrasekaran
INTRODUCTION: Scalp-recorded electrophysiological responses to complex, periodic auditory signals reflect phase-locked activity from neural ensembles within the auditory system. These responses, referred to as frequency-following responses (FFRs), have been widely utilized to index typical and atypical representation of speech signals in the auditory system. One of the major limitations in FFR is the low signal-to-noise ratio at the level of single trials. For this reason, the analysis relies on averaging across thousands of trials...
June 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28637136/virtual-environment-navigation-with-look-around-mode-to-explore-new-real-spaces-by-people-who-are-blind
#13
Orly Lahav, Hadas Gedalevitz, Steven Battersby, David Brown, Lindsay Evett, Patrick Merritt
BACKGROUND: This paper examines the ability of people who are blind to construct a mental map and perform orientation tasks in real space by using Nintendo Wii technologies to explore virtual environments. The participant explores new spaces through haptic and auditory feedback triggered by pointing or walking in the virtual environments and later constructs a mental map, which can be used to navigate in real space. METHODS: The study included 10 participants who were congenitally or adventitiously blind, divided into experimental and control groups...
February 10, 2017: Disability and Rehabilitation
https://www.readbyqxmd.com/read/28636679/towards-the-analysis-of-attosecond-dynamics-in-complex-systems
#14
C-Z Gao, P M Dinh, P-G Reinhard, E Suraud
We study from a theoretical perspective the ionization of molecules and clusters induced by irradiation of a combined two-color laser field consisting of a train of attosecond XUV pulses in the presence of an IR field. We use time-dependent density-functional theory (TDDFT) in real time and real space as a theoretical tool. The calculated results are compared to experimental data when available. We also compare TDDFT with results obtained using a time-dependent Schrödinger equation (TDSE), which is well suited to simple systems while TDDFT allows dealing with more complex molecules and clusters...
June 21, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28632944/deconstructing-the-landscape-of-fear-in-stable-multi-species-societies
#15
A E Martínez, E Parra, L F Collado, V T Vredenburg
Animal distributions are influenced by variation in predation risk in space, which has been described as the "landscape of fear." Many studies suggest animals also reduce predation risk by eavesdropping on heterospecific alarm calls, allowing them to occupy otherwise risky habitats. One unexplored area of study is understanding how different species' alarms vary in quality, and how this variation is distributed in the landscape. We tested this phenomenon in a unique system of avian mixed species flocks in Amazonian rainforests: flock mates (eavesdropping species) strongly associate with alarm-calling antshrikes (genus Thamnomanes), which act as sentinel species...
June 20, 2017: Ecology
https://www.readbyqxmd.com/read/28623886/epsilon-cp-using-deep-learning-to-combine-information-from-multiple-sources-for-protein-contact-prediction
#16
Kolja Stahl, Michael Schneider, Oliver Brock
BACKGROUND: Accurately predicted contacts allow to compute the 3D structure of a protein. Since the solution space of native residue-residue contact pairs is very large, it is necessary to leverage information to identify relevant regions of the solution space, i.e. correct contacts. Every additional source of information can contribute to narrowing down candidate regions. Therefore, recent methods combined evolutionary and sequence-based information as well as evolutionary and physicochemical information...
June 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28622676/training-dcnn-by-combining-max-margin-max-correlation-objectives-and-correntropy-loss-for-multilabel-image-classification
#17
Weiwei Shi, Yihong Gong, Xiaoyu Tao, Nanning Zheng
In this paper, we build a multilabel image classifier using a general deep convolutional neural network (DCNN). We propose a novel objective function that consists of three parts, i.e., max-margin objective, max-correlation objective, and correntropy loss. The max-margin objective explicitly enforces that the minimum score of positive labels must be larger than the maximum score of negative labels by a predefined margin, which not only improves accuracies of the multilabel classifier, but also eases the threshold determination...
June 13, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28622141/analysis-of-structural-brain-mri-and-multi-parameter-classification-for-alzheimer-s-disease
#18
Yingteng Zhang, Shenquan Liu
Incorporating with machine learning technology, neuroimaging markers which extracted from structural Magnetic Resonance Images (sMRI), can help distinguish Alzheimer's Disease (AD) patients from Healthy Controls (HC). In the present study, we aim to investigate differences in atrophic regions between HC and AD and apply machine learning methods to classify these two groups. T1-weighted sMRI scans of 158 patients with AD and 145 age-matched HC were acquired from the ADNI database. Five kinds of parameters (i...
June 15, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28619408/children-crossing-streets-the-cognitive-task-of-pedestrians-across-nations
#19
David C Schwebel
BACKGROUND: About 100,000 children die worldwide in pedestrian crashes, more than 90% of whom live in low- and middle-income countries (LMICs). However, most existing research on children's ability to cross the street is conducted in high-income countries (HICs). OBJECTIVE: The present study discusses 4 ways pedestrian behavior in LMICs differs from that in HICs, influencing both children's ability to cross streets safely and adult efforts to train children in pedestrian safety...
March 2017: Annals of Global Health
https://www.readbyqxmd.com/read/28618897/shared-decision-making-about-palliative-chemotherapy-a-qualitative-observation-of-talk-about-patients-preferences
#20
Inge Henselmans, Hanneke Wm Van Laarhoven, Jane Van der Vloodt, Hanneke Cjm De Haes, Ellen Ma Smets
BACKGROUND: Particularly at the end of life, treatment decisions should be shared and incorporate patients' preferences. This study examines elaboration and preference construction. AIM: To examine the values, appraisals and preferences that patients express, as well as the oncologists' communicative behaviour that facilitates these expressions in consultations on palliative chemotherapy. DESIGN: Verbatim transcripts of audio-recorded consultations ( n = 60) were analysed in MAXqda10 software...
July 2017: Palliative Medicine
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