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Motivational states and learning

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https://www.readbyqxmd.com/read/28280394/addressing-intravaginal-practices-in-women-with-hiv-and-at-risk-for-hiv-infection-a-mixed-methods-pilot-study
#1
Maria L Alcaide, Violeta J Rodriguez, Margaret A Fischl, Deborah L Jones, Stephen M Weiss
Intravaginal practices (IVPs), include intravaginal cleansing (cleansing the inside of the vagina) or intravaginal insertion of products for hygiene, health or sexuality reasons. IVPs are associated with adverse female health outcomes, development of bacterial vaginosis, HIV acquisition and transmission. A mixed methods approach was used in this study to examine the prevalence of IVP, assess reasons for engagement, and perceptions of IVP among a sample of minority (African-American and Hispanic) women infected, or at-risk, for HIV in Miami, USA, a city with increasing numbers of sexually transmitted infections (STIs) and HIV...
2017: International Journal of Women's Health
https://www.readbyqxmd.com/read/28275895/-emotiplay-a-serious-game-for-learning-about-emotions-in-children-with-autism-results-of-a-cross-cultural-evaluation
#2
S Fridenson-Hayo, S Berggren, A Lassalle, S Tal, D Pigat, N Meir-Goren, H O'Reilly, S Ben-Zur, S Bölte, S Baron-Cohen, O Golan
Children with autism spectrum conditions (ASC) experience difficulties recognizing others' emotions and mental states. It has been shown that serious games (SG) can produce simplified versions of the socio-emotional world. The current study performed a cross-cultural evaluation (in the UK, Israel and Sweden) of Emotiplay's SG, a system aimed to teach emotion recognition (ER) to children with ASC in an entertaining, and intrinsically motivating way. Participants were 6-9 year olds with high functioning ASC who used the SG for 8-12 weeks...
March 8, 2017: European Child & Adolescent Psychiatry
https://www.readbyqxmd.com/read/28268947/design-projects-motivated-and-informed-by-the-needs-of-severely-disabled-autistic-children
#3
Steve Warren, Punit Prakash, David Thompson, Bala Natarajan, Charles Carlson, Kim Fowler, Ed Brokesh, Jack Xin, Wayne Piersel, Janine Kesterson, Steve Stoffregen
Technology can positively impact the lives of severely disabled autistic children if used to (a) gather situational awareness data regarding their health, development, and behavior and (b) assist them with learning and day-to-day activities. This paper summarizes student design projects in the Kansas State University (KSU) College of Engineering that are motivated and informed by the needs of severely disabled children at Heartspring, Wichita, KS. These efforts are supported through the National Science Foundation's General and Age-Related Disabilities Engineering (GARDE) program...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28264738/the-dark-side-of-dopaminergic-therapies-in-parkinson-s-disease-shedding-light-on-aberrant-salience
#4
Michele Poletti
Psychotic subjects and patients with Parkinson's disease (PD) "on" dopaminergic drugs, especially on dopamine agonists, present a hyperdopaminergic state that interferes with learning processing. These clinical populations present with distinct alterations of learning that share an increased potential motivational significance of stimuli: psychotic subjects may attribute salience to neutral stimuli, while medicated PD patients may overvalue rewards. Herein is discussed the speculative hypothesis that the hyperdopaminergic state induced by dopaminergic treatments, especially with dopamine agonists, may also facilitate the attribution of salience to neutral stimuli in PD patients, altering the physiological attribution of salience...
March 7, 2017: CNS Spectrums
https://www.readbyqxmd.com/read/28263413/species-specific-diversity-in-the-anatomical-and-physiological-organization-of-the-bnst-vta-pathway
#5
Jennifer Kaufling, Delphine Girard, Marlène Maitre, Thierry Leste-Lasserre, François Georges
The anteromedial part of the bed nucleus of the stria terminalis (amBNST) is a limbic structure innervating the ventral tegmental area (VTA) that is remarkably constant across species. The amBNST modulates fear and anxiety, and activation of VTA dopamine (DA) neurons by amBNST afferents seems to be the way by which stress controls motivational states associated with reward or aversion. Because fear learning and anxiety states can be expressed differently between rats and mice, we compared the functional connectivity between amBNST and the VTA-DA neurons in both species using consistant methodological approaches...
March 6, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28227153/design-projects-motivated-and-informed-by-the-needs-of-severely-disabled-autistic-children
#6
Steve Warren, Punit Prakash, David Thompson, Bala Natarajan, Charles Carlson, Kim Fowler, Ed Brokesh, Jack Xin, Wayne Piersel, Janine Kesterson, Steve Stoffregen, Steve Warren, Punit Prakash, David Thompson, Bala Natarajan, Charles Carlson, Kim Fowler, Ed Brokesh, Jack Xin, Wayne Piersel, Janine Kesterson, Steve Stoffregen, Janine Kesterson, Bala Natarajan, David Thompson, Steve Stoffregen, Steve Warren, Kim Fowler, Jack Xin, Punit Prakash, Charles Carlson, Wayne Piersel
Technology can positively impact the lives of severely disabled autistic children if used to (a) gather situational awareness data regarding their health, development, and behavior and (b) assist them with learning and day-to-day activities. This paper summarizes student design projects in the Kansas State University (KSU) College of Engineering that are motivated and informed by the needs of severely disabled children at Heartspring, Wichita, KS. These efforts are supported through the National Science Foundation's General and Age-Related Disabilities Engineering (GARDE) program...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223891/what-should-we-tell-our-patients-about-marijuana-cannabis-indica-and-cannabis-sativa
#7
EDITORIAL
Joseph Pizzorno
With several states allowing medicinal use of marijuana and a growing number decriminalizing recreational use, many of our patients are using this herbal drug. Approximately 43% of US adults have tried marijuana, with 13% using it regularly. These users are seeking help from integrative medicine practitioners regarding safety. They are looking for advice based on research and clinical experience, not politics or philosophical bias. The major health problems caused by marijuana appear to be bronchial irritation, decreased motivation, learning difficulties, and injuries...
December 2016: Integrative Medicine
https://www.readbyqxmd.com/read/28222000/fast-prediction-of-protein-methylation-sites-using-a-sequence-based-feature-selection-technique
#8
Leyi Wei, Pengwei Xing, Gaotao Shi, Zhi-Liang Ji, Quan Zou
Protein methylation, an important post-translational modification, plays crucial roles in many cellular processes. The accurate prediction of protein methylation sites is fundamentally important for revealing the molecular mechanisms undergoing methylation. In recent years, computational prediction based on machine learning algorithms has emerged as a powerful and robust approach for identifying methylation sites, and much progress has been made in predictive performance improvement. However, the predictive performance of existing methods is not satisfactory in terms of overall accuracy...
February 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28213443/changes-in-appetitive-associative-strength-modulates-nucleus-accumbens-but-not-orbitofrontal-cortex-neuronal-ensemble-excitability
#9
Joseph Ziminski, Sabine Hessler, Gabriella Margetts-Smith, Meike C Sieburg, Hans S Crombag, Eisuke Koya
Cues that predict the availability of food rewards influence motivational states and elicit food-seeking behaviors. If a cue no longer predicts food availability, animals may adapt accordingly by inhibiting food seeking responses. Sparsely activated sets of neurons, coined neuronal ensembles, have been shown to encode the strength of reward-cue associations. While alterations in intrinsic excitability have been shown to underlie many learning and memory processes, little is known about these properties specifically on cue-activated neuronal ensembles...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28212966/estimating-preferences-for-complex-health-technologies-lessons-learned-and-implications-for-personalized-medicine
#10
Deborah A Marshall, Juan Marcos Gonzalez, Karen V MacDonald, F Reed Johnson
We examine key study design challenges of using stated-preference methods to estimate the value of whole-genome sequencing (WGS) as a specific example of genomic testing. Assessing the value of WGS is complex because WGS provides multiple findings, some of which can be incidental in nature and unrelated to the specific health concerns that motivated the test. In addition, WGS results can include actionable findings (variants considered to be clinically useful and can be acted on), findings for which evidence for best clinical action is not available (variants considered clinically valid but do not meet as high of a standard for clinical usefulness), and findings of unknown significance...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28210357/a-survey-of-emergency-medicine-residents-use-of-educational-podcasts
#11
Jeff Riddell, Anand Swaminathan, Monica Lee, Abdiwahab Mohamed, Rob Rogers, Salim R Rezaie
INTRODUCTION: Emergency medicine (EM) educational podcasts have become increasingly popular. Residents spend a greater percentage of their time listening to podcasts than they do using other educational materials. Despite this popularity, research into podcasting in the EM context is sparse. We aimed to determine EM residents' consumption habits, optimal podcast preferences, and motivation for listening to EM podcasts. METHODS: We created a survey and emailed it to EM residents at all levels of training at 12 residencies across the United States from September 2015 to June 2016...
February 2017: Western Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28143568/factors-predicting-training-transfer-in-health-professionals-participating-in-quality-improvement-educational-interventions
#12
Ahmed Eid, Doris Quinn
BACKGROUND: Predictors of quality improvement (QI) training transfer are needed. This study aimed to identify these predictors among health professionals who participated in a QI training program held at a large hospital in the United States between 2005 and 2014. It also aimed to determine how these predictive factors facilitated or impeded QI training transfer. METHODS: Following the Success Case Method, we used a screening survey to identify trainees with high and low levels of training transfer...
January 31, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28129155/learning-deep-sharable-and-structural-detectors-for-face-alignment
#13
Hao Liu, Jiwen Lu, Jianjiang Feng, Jie Zhou
Face alignment aims at localizing multiple facial landmarks for a given facial image, which usually suffers from large variances of diverse facial expressions, aspect ratios and partial occlusions, especially when face images were captured in wild conditions. To address this problem, conventional face alignment methods extract local features and then directly concatenate these features for global shape regression. Unlike these methods which cannot explicitly model the correlation of neighbouring landmarks and motivated by the fact that individual landmarks are usually correlated, in this paper, we propose a deep structural and sharable detectors (DSSD) method for facial landmark localization...
January 23, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28114063/deep-learning-driven-visual-path-prediction-from-a-single-image
#14
Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Wei Liu, Jinhui Tang, Yueting Zhuang
Capabilities of inference and prediction are significant components of visual systems. Visual path prediction is an important and challenging task among them, with the goal to infer the future path of a visual object in a static scene. This task is complicated as it needs high-level semantic understandings of both the scenes and underlying motion patterns in video sequences. In practice, cluttered situations have also raised higher demands on the effectiveness and robustness of models. Motivated by these observations, we propose a deep learning framework which simultaneously performs deep feature learning for visual representation in conjunction with spatio-temporal context modeling...
September 26, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28114038/class-specific-subspace-kernel-representations-and-adaptive-margin-slack-minimization-for-large-scale-classification
#15
Yinan Yu, Konstantinos I Diamantaras, Tomas McKelvey, Sun-Yuan Kung
In kernel-based classification models, given limited computational power and storage capacity, operations over the full kernel matrix becomes prohibitive. In this paper, we propose a new supervised learning framework using kernel models for sequential data processing. The framework is based on two components that both aim at enhancing the classification capability with a subset selection scheme. The first part is a subspace projection technique in the reproducing kernel Hilbert space using a CLAss-specific Subspace Kernel representation for kernel approximation...
December 7, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28113794/unsupervised-topic-hypergraph-hashing-for-efficient-mobile-image-retrieval
#16
Lei Zhu, Jialie Shen, Liang Xie, Zhiyong Cheng
Hashing compresses high-dimensional features into compact binary codes. It is one of the promising techniques to support efficient mobile image retrieval, due to its low data transmission cost and fast retrieval response. However, most of existing hashing strategies simply rely on low-level features. Thus, they may generate hashing codes with limited discriminative capability. Moreover, many of them fail to exploit complex and high-order semantic correlations that inherently exist among images. Motivated by these observations, we propose a novel unsupervised hashing scheme, called topic hypergraph hashing (THH), to address the limitations...
October 21, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28110724/avnm-a-voting-based-novel-mathematical-rule-for-image-classification
#17
Ankit Vidyarthi, Namita Mittal
BACKGROUND AND OBJECTIVES: In machine learning, the accuracy of the system depends upon classification result. Classification accuracy plays an imperative role in various domains. Non-parametric classifier like K-Nearest Neighbor (KNN) is the most widely used classifier for pattern analysis. Besides its easiness, simplicity and effectiveness characteristics, the main problem associated with KNN classifier is the selection of a number of nearest neighbors i.e. "k" for computation. At present, it is hard to find the optimal value of "k" using any statistical algorithm, which gives perfect accuracy in terms of low misclassification error rate...
December 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28106670/reward-motivation-and-emotion-of-pain-and-its-relief
#18
Frank Porreca, Edita Navratilova
No abstract text is available yet for this article.
April 2017: Pain
https://www.readbyqxmd.com/read/28092510/unobtrusive-and-wearable-systems-for-automatic-dietary-monitoring
#19
Temiloluwa Prioleau, Elliot Moore, Maysam Ghovanloo
The threat of obesity, diabetes, anorexia and bulimia in our society today has motivated extensive research on dietary monitoring. Standard self-report methods such as 24-hour recall and food frequency questionnaires are expensive, burdensome and unrealiable to handle the growing health crisis. Long-term activity monitoring in daily living is a promising approach to provide individuals with quantitative feedback that can encourage healthier habits. Although several studies have attempted automating dietary monitoring using wearable, hand-held, smartobject, and environmental systems, it remains an open research problem...
January 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28088350/the-emotive-nature-of-conflict-monitoring-in-the-medial-prefrontal-cortex
#20
Blair Saunders, Hause Lin, Marina Milyavskaya, Michael Inzlicht
The detection of conflict between incompatible impulses, thoughts, and actions is a ubiquitous source of motivation across theories of goal-directed action. In this overview, we explore the hypothesis that conflict is emotive, integrating perspectives from affective science and cognitive neuroscience. Initially, we review evidence suggesting that the mental and biological processes that monitor for information processing conflict-particularly those generated by the anterior midcingulate cortex-track the affective significance of conflict and use this signal to motivate increased control...
January 11, 2017: International Journal of Psychophysiology
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