keyword
MENU ▼
Read by QxMD icon Read
search

Online learning

keyword
https://www.readbyqxmd.com/read/28441677/building-a-global-online-community-of-practice-the-openpediatrics-world-shared-practices-video-series
#1
Traci A Wolbrink, Niranjan Kissoon, Nabila Mirza, Jeffrey P Burns
PROBLEM: Health care professionals are familiar with engaging in local communities of practice (CoPs) within their hospital, region, and/or country, but despite the availability of online technologies that facilitate online global collaboration, the health care sector has yet to fully embrace these tools. APPROACH: In 2013, OPENPediatrics (an online social learning platform) launched the World Shared Practices video (WSP) series to engage and coalesce the global community of critical care clinicians...
May 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28441408/short-term-internet-search-using-makes-people-rely-on-search-engines-when-facing-unknown-issues
#2
Yifan Wang, Lingdan Wu, Liang Luo, Yifen Zhang, Guangheng Dong
The Internet search engines, which have powerful search/sort functions and ease of use features, have become an indispensable tool for many individuals. The current study is to test whether the short-term Internet search training can make people more dependent on it. Thirty-one subjects out of forty subjects completed the search training study which included a pre-test, a six-day's training of Internet search, and a post-test. During the pre- and post- tests, subjects were asked to search online the answers to 40 unusual questions, remember the answers and recall them in the scanner...
2017: PloS One
https://www.readbyqxmd.com/read/28441114/neural-circuitry-of-reward-prediction-error
#3
Mitsuko Watabe-Uchida, Neir Eshel, Naoshige Uchida
Dopamine neurons facilitate learning by calculating reward prediction error, or the difference between expected and actual reward. Despite two decades of research, it remains unclear how dopamine neurons make this calculation. Here we review studies that tackle this problem from a diverse set of approaches, from anatomy to electrophysiology to computational modeling and behavior. Several patterns emerge from this synthesis: that dopamine neurons themselves calculate reward prediction error, rather than inherit it passively from upstream regions; that they combine multiple separate and redundant inputs, which are themselves interconnected in a dense recurrent network; and that despite the complexity of inputs, the output from dopamine neurons is remarkably homogeneous and robust...
April 24, 2017: Annual Review of Neuroscience
https://www.readbyqxmd.com/read/28440006/health-information-practice-integrating-inspiring-and-innovating
#4
EDITORIAL
Audrey Marshall
The 2017 virtual issue of the Health Information and Libraries Journal (HILJ) is published to link to the 12th International Congress on Medical Librarianship and the 2017 EAHIL Workshop taking place in Dublin, Ireland on 12-16 June 2017. The conference title is Diversity in Practice: integrating, inspiring and innovative and it is exploring how health science librarianship, in all its diversity, is integrating, inspiring and innovating practice. These themes have been used to compile this virtual issue, which contains published articles selected from HILJ from the June 2014 issue through to September 2016...
April 25, 2017: Health Information and Libraries Journal
https://www.readbyqxmd.com/read/28439361/impact-of-a-video-based-interactive-workshop-on-unprofessional-behaviors-among-internal-medicine-residents
#5
Aashish Didwania, Jeanne M Farnan, Liza Icayan, Kevin J O'Leary, Mark Saathoff, Shashi Bellam, Holly J Humphrey, Diane B Wayne, Vineet M Arora
BACKGROUND: Unprofessional behaviors undermine the hospital learning environment and the quality of patient care. OBJECTIVE: To assess the impact of an interactive workshop on the perceptions of and self-reported participation in unprofessional behaviors. METHODS: We conducted a pre-post survey study at 3 internal medicine residency programs. For the workshop we identified unprofessional behaviors related to on-call etiquette: "blocking" an admission, disparaging a colleague, and misrepresenting a test as urgent...
April 2017: Journal of Graduate Medical Education
https://www.readbyqxmd.com/read/28439243/relationships-between-behavioural-addictions-and-psychiatric-disorders-what-is-known-and-what-is-yet-to-be-learned
#6
Vladan Starcevic, Yasser Khazaal
This article provides a narrative review of the relationships between several behavioural addictions [pathological gambling, problematic Internet use (PIU), problematic online gaming, compulsive sexual behaviour disorder, compulsive buying, and exercise addiction] and psychiatric disorders. Associations between most behavioural addictions and depressive and anxiety disorders are strong and seem relatively non-specific. Strong links with substance use disorders may support the notion that some people are more prone to addictive behaviours, regardless of whether these involve substances or problematic activities...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28439103/brain-age-predicts-mortality
#7
J H Cole, S J Ritchie, M E Bastin, M C Valdés Hernández, S Muñoz Maniega, N Royle, J Corley, A Pattie, S E Harris, Q Zhang, N R Wray, P Redmond, R E Marioni, J M Starr, S R Cox, J M Wardlaw, D J Sharp, I J Deary
Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, 'brain-predicted age', derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N=2001), then tested in the Lothian Birth Cohort 1936 (N=669), to determine relationships with age-associated functional measures and mortality...
April 25, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/28439099/optogenetic-silencing-of-a-corticotropin-releasing-factor-pathway-from-the-central-amygdala-to-the-bed-nucleus-of-the-stria-terminalis-disrupts-sustained-fear
#8
A Asok, A Draper, A F Hoffman, J Schulkin, C R Lupica, J B Rosen
The lateral central nucleus of the amygdala (CeAL) and the dorsolateral bed nucleus of the stria terminalis (BNSTDL) coordinate the expression of shorter- and longer-lasting fears, respectively. Less is known about how these structures communicate with each other during fear acquisition. One pathway, from the CeAL to the BNSTDL, is thought to communicate via corticotropin-releasing factor (CRF), but studies have yet to examine its function in fear learning and memory. Thus, we developed an adeno-associated viral-based strategy to selectively target CRF neurons with the optogenetic silencer archaerhodopsin tp009 (CRF-ArchT) to examine the role of CeAL CRF neurons and projections to the BNSTDL during the acquisition of contextual fear...
April 25, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/28438725/analyzing-and-predicting-user-participations-in-online-health-communities-a-social-support-perspective
#9
Xi Wang, Kang Zhao, Nick Street
BACKGROUND: Online health communities (OHCs) have become a major source of social support for people with health problems. Members of OHCs interact online with similar peers to seek, receive, and provide different types of social support, such as informational support, emotional support, and companionship. As active participations in an OHC are beneficial to both the OHC and its users, it is important to understand factors related to users' participations and predict user churn for user retention efforts...
April 24, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28438124/effectiveness-of-an-individual-online-e-learning-program-about-sexually-transmitted-infections-a-prospective-cohort-study
#10
Linda H A Bos-Bonnie, Jan E A M van Bergen, Ellen Te Pas, Michael A Kijser, Nynke van Dijk
BACKGROUND: Primary health-care professionals play an important role in the treatment and prevention of Sexually Transmitted Infections (STI). Continuing Medical Education (CME)-courses can influence the knowledge and behavior of health-care professionals concerning STI. We performed a prospective cohort study to evaluate if the individual and online e-learning program "The STI-consultation", which uses the Commitment-to-Change (CtC)-method, is able to improve the knowledge, attitude and behavior of Dutch General Practitioners (GPs), concerning the STI-consultation...
April 24, 2017: BMC Family Practice
https://www.readbyqxmd.com/read/28437615/experimental-demonstration-of-feature-extraction-and-dimensionality-reduction-using-memristor-networks
#11
Shinhyun Choi, Jong Hoon Shin, Jihang Lee, Patrick Sheridan, Wei D Lu
Memristors have been considered as a leading candidate for a number of critical applications ranging from non-volatile memory to non-Von Neumann computing systems. Feature extraction, which aims to transform input data from a high dimensional space to a space with fewer dimensions, is an important technique widely used in machine learning and pattern recognition applications. Here, we experimentally demonstrate that memristor arrays can be used to perform principal component analysis (PCA), one of the most commonly-used feature extraction techniques, through online, unsupervised learning...
April 24, 2017: Nano Letters
https://www.readbyqxmd.com/read/28437486/prediction-of-crime-occurrence-from-multi-modal-data-using-deep-learning
#12
Hyeon-Woo Kang, Hang-Bong Kang
In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols. Previous studies have used data from multiple domains such as demographics, economics, and education. Their prediction models treat data from different domains equally. These methods have problems in crime occurrence prediction, such as difficulty in discovering highly nonlinear relationships, redundancies, and dependencies between multiple datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28437316/attitudes-of-physician-assistant-educators-toward-interprofessional-education-and-collaborative-care
#13
Laura A Levy, Kathleen Mathieson
PURPOSE: Interprofessional education (IPE) has been shown to improve collaboration in the workforce, ultimately improving patient care. The purpose of this study was to evaluate physician assistant (PA) educators' attitudes toward IPE and interprofessional (IP) health care teams. METHODS: An online survey was sent to 1198 PA educators. The survey assessed 3 domains: attitudes toward IPE, attitudes toward IP health care teams, and attitudes toward IP learning in the academic setting...
April 21, 2017: Journal of Physician Assistant Education
https://www.readbyqxmd.com/read/28436896/online-hashing
#14
Long-Kai Huang, Qiang Yang, Wei-Shi Zheng
Although hash function learning algorithms have achieved great success in recent years, most existing hash models are off-line, which are not suitable for processing sequential or online data. To address this problem, this paper proposes an online hash model to accommodate data coming in stream for online learning. Specifically, a new loss function is proposed to measure the similarity loss between a pair of data samples in hamming space. Then, a structured hash model is derived and optimized in a passive-aggressive way...
April 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436895/online-learning-algorithm-based-on-adaptive-control-theory
#15
Jian-Wei Liu, Jia-Jia Zhou, Mohamed S Kamel, Xiong-Lin Luo
This paper proposes a new online learning algorithm which is based on adaptive control (AC) theory, thus, we call this proposed algorithm as AC algorithm. Comparing to the gradient descent (GD) and exponential gradient (EG) algorithm which have been applied to online prediction problems, we find a new form of AC theory for online prediction problems and investigate two key questions: how to get a new update law which has a tighter upper bound on the error than the square loss? How to compare the upper bound for accumulated losses for the three algorithms? We obtain a new update law which fully utilizes model reference AC theory...
April 18, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436894/online-learning-algorithms-can-converge-comparably-fast-as-batch-learning
#16
Junhong Lin, Ding-Xuan Zhou
Online learning algorithms in a reproducing kernel Hilbert space associated with convex loss functions are studied. We show that in terms of the expected excess generalization error, they can converge comparably fast as corresponding kernel-based batch learning algorithms. Under mild conditions on loss functions and approximation errors, fast learning rates and finite sample upper bounds are established using polynomially decreasing step-size sequences. For some commonly used loss functions for classification, such as the logistic and the p-norm hinge loss functions with p ∈ [1,2], the learning rates are the same as those for Tikhonov regularization and can be of order O(T-(1/2) log T), which are nearly optimal up to a logarithmic factor...
April 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436874/track-everything-limiting-prior-knowledge-in-online-multi-object-recognition
#17
Sebastien C Wong, Victor Stamatescu, Adam Gatt, David Kearney, Ivan Lee, Mark D McDonnell
This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene without relying on object-specific prior knowledge, which in other systems can take the form of hand-crafted features or user-based track initialization. We then classify the tracked objects with a fastlearning image classifier that is based on a shallow convolutional neural network architecture and demonstrate that object recognition improves when this is combined with object state information from the tracking algorithm...
April 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28436845/drawing-and-recognizing-chinese-characters-with-recurrent-neural-network
#18
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio
Recent deep learning based approaches have achieved great success on handwriting recognition. Chinese characters are among the most widely adopted writing systems in the world. Previous research has mainly focused on recognizing handwritten Chinese characters. However, recognition is only one aspect for understanding a language, another challenging and interesting task is to teach a machine to automatically write (pictographic) Chinese characters. In this paper, we propose a framework by using the recurrent neural network (RNN) as both a discriminative model for recognizing Chinese characters and a generative model for drawing (generating) Chinese characters...
April 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28436664/cppred-rf-a-sequence-based-predictor-for-identifying-cell-penetrating-peptides-and-their-uptake-efficiency
#19
Leyi Wei, Pengwei Xing, Ran Su, Gaotao Shi, Zhanshan Sam Ma, Quan Zou
Cell-penetrating peptides (CPPs), have been proven as important drug delivery vehicles, demonstrating the potential as therapeutic candidates. The last decade has witnessed a rapid growth in CPP-based research. Recently, many computational efforts have been made to develop machine learning based methods for identifying CPPs. Although much progress has been made, existing methods still suffer low feature representation capability that limits further performance improvement. In this study, we propose a novel predictor called CPPred-RF, in which we integrate multiple sequence-based feature descriptors to sufficiently explore distinct information embedded in CPPs, employ a well-established feature selection technique to improve the feature representation, and at the first time, construct a 2-layer prediction framework based on the random forest algorithm...
April 24, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28434385/digital-curation-and-online-resources-digital-scanning-of-surgical-tools-at-the-royal-college-of-physicians-and-surgeons-of-glasgow-for-an-open-university-learning-resource
#20
Kirsty Earley, Daniel Livingstone, Paul M Rea
Collection preservation is essential for the cultural status of any city. However, presenting a collection publicly risks damage. Recently this drawback has been overcome by digital curation. Described here is a method of digitisation using photogrammetry and virtual reality software. Items were selected from the Royal College of Physicians and Surgeons of Glasgow archives, and implemented into an online learning module for the Open University. Images were processed via Agisoft Photoscan, Autodesk Memento, and Garden Gnome Object 2VR...
January 2017: Journal of Visual Communication in Medicine
keyword
keyword
5114
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"