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https://www.readbyqxmd.com/read/28225466/the-use-of-social-media-in-graduate-medical-education-a-systematic-review
#1
Madeline Sterling, Peggy Leung, Drew Wright, Tara F Bishop
PURPOSE: Despite the growing presence of social media in graduate medical education (GME), few studies have attempted to characterize their effect on residents and their training. The authors conducted a systematic review of the peer-reviewed literature to understand the effect of social media on resident (1) education, (2) recruitment, and (3) professionalism. METHOD: The authors identified English-language peer-reviewed articles published through November 2015 using Medline, Embase, Cochrane, PubMed, Scopus, and ERIC...
February 21, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28186027/expanding-the-reach-of-continuing-educational-offerings-through-a-web-based-virtual-network-the-experience-of-inspirenet
#2
Noreen C Frisch, Pat Atherton, Elizabeth M Borycki, Grace Mickelson, Agnes Black, Helen Novak Lauscher, Jennifer Cordeiro
Virtual platforms using webinars, e-posters, e-newsletters, wikis and blogs connect people who have common interests in new ways. When those individuals are healthcare providers, a professional network that operates on a virtual platform can support their needs for learning, professional development and information currency. The practice of e-learning for continuing professional development is emerging , particularly in nursing where shift work shift inhibits their ability to attend conferences and classes...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28157142/using-wikis-to-build-nursing-concept-maps-promoting-group-interactive-learning
#3
Lilly Mathew
No abstract text is available yet for this article.
February 2017: Computers, Informatics, Nursing: CIN
https://www.readbyqxmd.com/read/28131145/preferred-methods-of-learning-for-nursing-students-in-an-on-line-degree-program
#4
Debra Hampton, Patricia F Pearce, Debra K Moser
Investigators have demonstrated that on-line courses result in effective learning outcomes, but limited information has been published related to preferred teaching strategies. Delivery of on-line courses requires various teaching methods to facilitate interaction between students, content, and technology. The purposes of this study were to understand student teaching/learning preferences in on-line courses to include (a) differences in preferred teaching/learning methods for on-line nursing students across generations and (b) which teaching strategies students found to be most engaging and effective...
January 2017: Journal of Professional Nursing: Official Journal of the American Association of Colleges of Nursing
https://www.readbyqxmd.com/read/28092529/sub-category-classifiers-for-multiple-instance-learning-and-its-application-to-retinal-nerve-fiber-layer-visibility-classification
#5
Siyamalan Manivannan, Caroline Cobb, Stephen Burgess, Emanuele Trucco
We propose a novel multiple instance learning method to assess the visibility (visible/not visible) of the retinal nerve fiber layer (RNFL) in fundus camera images. Using only image-level labels, our approach learns to classify the images as well as to localize the RNFL visible regions. We transform the original feature space to a discriminative subspace, and learn a region-level classifier in that subspace. We propose a margin-based loss function to jointly learn this subspace and the region-level classifier...
January 16, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28066818/microbiome-helper-a-custom-and-streamlined-workflow-for-microbiome-research
#6
André M Comeau, Gavin M Douglas, Morgan G I Langille
Sequence-based approaches to study microbiomes, such as 16S rRNA gene sequencing and metagenomics, are uncovering associations between microbial taxa and a myriad of factors. A drawback of these approaches is that the necessary sequencing library preparation and bioinformatic analyses are complicated and continuously changing, which can be a barrier for researchers new to the field. We present three essential components to conducting a microbiome experiment from start to finish: first, a simplified and step-by-step custom gene sequencing protocol that requires limited lab equipment, is cost-effective, and has been thoroughly tested and utilized on various sample types; second, a series of scripts to integrate various commonly used bioinformatic tools that is available as a standalone installation or as a single downloadable virtual image; and third, a set of bioinformatic workflows and tutorials to provide step-by-step guidance and education for those new to the microbiome field...
January 2017: MSystems
https://www.readbyqxmd.com/read/28025202/calypso-a-user-friendly-web-server-for-mining-and-visualizing-microbiome-environment-interactions
#7
Martha Zakrzewski, Carla Proietti, Jonathan J Ellis, Shihab Hasan, Marie-Jo Brion, Bernard Berger, Lutz Krause
: Calypso is an easy-to-use online software suite that allows non-expert users to mine, interpret and compare taxonomic information from metagenomic or 16S rDNA datasets. Calypso has a focus on multivariate statistical approaches that can identify complex environment-microbiome associations. The software enables quantitative visualizations, statistical testing, multivariate analysis, supervised learning, factor analysis, multivariable regression, network analysis and diversity estimates...
December 24, 2016: Bioinformatics
https://www.readbyqxmd.com/read/27998935/cymer-cytometry-analysis-using-knime-docker-and-r
#8
B Muchmore, M E Alarcon-Riquelme
: Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed...
December 20, 2016: Bioinformatics
https://www.readbyqxmd.com/read/27993772/p3bsseq-parallel-processing-pipeline-software-for-automatic-analysis-of-bisulfite-sequencing-data
#9
Phuc-Loi Luu, Daniela Gerovska, Mikel Arrospide-Elgarresta, Sugoi Retegi-Carrión, Hans R Schöler, Marcos J Araúzo-Bravo
MOTIVATION: Bisulfite sequencing (BSseq) processing is among the most cumbersome next generation sequencing (NGS) applications. Though some BSseq processing tools are available, they are scattered, require puzzling parameters and are running-time and memory-usage demanding. RESULTS: We developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment, generates BED methylome and report files following the NIH standards...
October 6, 2016: Bioinformatics
https://www.readbyqxmd.com/read/27922118/mining-visualizing-and-comparing-multidimensional-biomolecular-data-using-the-genomics-data-miner-gmine-web-server
#10
Carla Proietti, Martha Zakrzewski, Thomas S Watkins, Bernard Berger, Shihab Hasan, Champa N Ratnatunga, Marie-Jo Brion, Peter D Crompton, John J Miles, Denise L Doolan, Lutz Krause
Genomics Data Miner (GMine) is a user-friendly online software that allows non-experts to mine, cluster and compare multidimensional biomolecular datasets. Various powerful visualization techniques are provided, generating high quality figures that can be directly incorporated into scientific publications. Robust and comprehensive analyses are provided via a broad range of data-mining techniques, including univariate and multivariate statistical analysis, supervised learning, correlation networks, clustering and multivariable regression...
December 6, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27911955/scholarly-context-adrift-three-out-of-four-uri-references-lead-to-changed-content
#11
Shawn M Jones, Herbert Van de Sompel, Harihar Shankar, Martin Klein, Richard Tobin, Claire Grover
Increasingly, scholarly articles contain URI references to "web at large" resources including project web sites, scholarly wikis, ontologies, online debates, presentations, blogs, and videos. Authors reference such resources to provide essential context for the research they report on. A reader who visits a web at large resource by following a URI reference in an article, some time after its publication, is led to believe that the resource's content is representative of what the author originally referenced...
2016: PloS One
https://www.readbyqxmd.com/read/27907981/use-of-social-media-in-education-among-medical-students-in-saudi-arabia
#12
Anas Khaleel Alsuraihi, Ahmed Saeed Almaqati, Sultan Adnan Abughanim, Nisreen Abdulrahman Jastaniah
PURPOSE: Social media (SM), a virtual place where people can share, exchange, and communicate their ideas and knowledge, has become the new trend in communication and learning. This study aims to explore Saudi Arabian medical students' usage of SM and to discover the most common resources used in medical education. Furthermore, it aims to illustrate students' belief about the influence of SM on their learning. METHODS: This cross-sectional study administered validated questionnaires to medical students from different universities in Saudi Arabia, via emails, Twitter, Facebook, and short message service...
December 2016: Korean Journal of Medical Education
https://www.readbyqxmd.com/read/27899658/the-big-data-center-from-deposition-to-integration-to-translation
#13
(no author information available yet)
Biological data are generated at unprecedentedly exponential rates, posing considerable challenges in big data deposition, integration and translation. The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, including (i) Genome Sequence Archive, a data repository specialized for archiving raw sequence reads, (ii) Gene Expression Nebulas, a data portal of gene expression profiles based entirely on RNA-Seq data, (iii) Genome Variation Map, a comprehensive collection of genome variations for featured species, (iv) Genome Warehouse, a centralized resource housing genome-scale data with particular focus on economically important animals and plants, (v) Methylation Bank, an integrated database of whole-genome single-base resolution methylomes and (vi) Science Wikis, a central access point for biological wikis developed for community annotations...
January 4, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/27874839/online-access-and-motivation-of-tutors-of-health-professions-higher-education
#14
Federico Monaco, Leopoldo Sarli, Massimo Guasconi, Emanuela Alfieri
The case study of PUNTOZERO as an open web lab for activities, research and support to 5 Master's courses for the health professions is described. A virtual learning environment integrated in a much wider network including social networks and open resources was experimented on for five Master's Courses for the health professions at the University of Parma. A social learning approach might be applied by the engagement of motivated and skilled tutors. This is not only needed for the improvement and integration of the digital and collaborative dimension in higher education, but it aims to introduce issues and biases of emerging e-health and online networking dimensions for future healthcare professionals...
November 22, 2016: Acta Bio-medica: Atenei Parmensis
https://www.readbyqxmd.com/read/27864814/nodegame-real-time-synchronous-online-experiments-in-the-browser
#15
REVIEW
Stefano Balietti
nodeGame is a free, open-source JavaScript/ HTML5 framework for conducting synchronous experiments online and in the lab directly in the browser window. It is specifically designed to support behavioral research along three dimensions: (i) larger group sizes, (ii) real-time (but also discrete time) experiments, and (iii) batches of simultaneous experiments. nodeGame has a modular source code, and defines an API (application programming interface) through which experimenters can create new strategic environments and configure the platform...
November 18, 2016: Behavior Research Methods
https://www.readbyqxmd.com/read/27781083/the-2016-bioinformatics-open-source-conference-bosc
#16
EDITORIAL
Nomi L Harris, Peter J A Cock, Brad Chapman, Christopher J Fields, Karsten Hokamp, Hilmar Lapp, Monica Muñoz-Torres, Heather Wiencko
Message from the ISCB: The Bioinformatics Open Source Conference (BOSC) is a yearly meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. BOSC has been run since 2000 as a two-day Special Interest Group (SIG) before the annual ISMB conference. The 17th annual BOSC ( http://www.open-bio.org/wiki/BOSC_2016) took place in Orlando, Florida in July 2016...
2016: F1000Research
https://www.readbyqxmd.com/read/27775517/sequential-discrete-hashing-for-scalable-cross-modality-similarity-retrieval
#17
Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han
With the dramatic development of the Internet, how to exploit large-scale retrieval techniques for multimodal web data has become one of the most popular but challenging problems in computer vision and multimedia. Recently, hashing methods are used for fast nearest neighbor search in large-scale data spaces, by embedding high-dimensional feature descriptors into a similarity preserving Hamming space with a low dimension. Inspired by this, in this paper, we introduce a novel supervised cross-modality hashing framework, which can generate unified binary codes for instances represented in different modalities...
January 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27746773/brucella-abortus-strain-2308-wisconsin-genome-importance-of-the-definition-of-reference-strains
#18
Marcela Suárez-Esquivel, Nazareth Ruiz-Villalobos, Amanda Castillo-Zeledón, César Jiménez-Rojas, R Martin Roop Ii, Diego J Comerci, Elías Barquero-Calvo, Carlos Chacón-Díaz, Clayton C Caswell, Kate S Baker, Esteban Chaves-Olarte, Nicholas R Thomson, Edgardo Moreno, Jean J Letesson, Xavier De Bolle, Caterina Guzmán-Verri
Brucellosis is a bacterial infectious disease affecting a wide range of mammals and a neglected zoonosis caused by species of the genetically homogenous genus Brucella. As in most studies on bacterial diseases, research in brucellosis is carried out by using reference strains as canonical models to understand the mechanisms underlying host pathogen interactions. We performed whole genome sequencing analysis of the reference strain B. abortus 2308 routinely used in our laboratory, including manual curated annotation accessible as an editable version through a link at https://en...
2016: Frontiers in Microbiology
https://www.readbyqxmd.com/read/27706202/pubmedportable-a-framework-for-supporting-the-development-of-text-mining-applications
#19
Kersten Döring, Björn A Grüning, Kiran K Telukunta, Philippe Thomas, Stefan Günther
Information extraction from biomedical literature is continuously growing in scope and importance. Many tools exist that perform named entity recognition, e.g. of proteins, chemical compounds, and diseases. Furthermore, several approaches deal with the extraction of relations between identified entities. The BioCreative community supports these developments with yearly open challenges, which led to a standardised XML text annotation format called BioC. PubMed provides access to the largest open biomedical literature repository, but there is no unified way of connecting its data to natural language processing tools...
2016: PloS One
https://www.readbyqxmd.com/read/27704592/guidelines-for-use-of-the-approximate-beta-poisson-dose-response-model
#20
Gang Xie, Anne Roiko, Helen Stratton, Charles Lemckert, Peter K Dunn, Kerrie Mengersen
For dose-response analysis in quantitative microbial risk assessment (QMRA), the exact beta-Poisson model is a two-parameter mechanistic dose-response model with parameters α>0 and β>0, which involves the Kummer confluent hypergeometric function. Evaluation of a hypergeometric function is a computational challenge. Denoting PI(d) as the probability of infection at a given mean dose d, the widely used dose-response model PI(d)=1-(1+dβ)-α is an approximate formula for the exact beta-Poisson model. Notwithstanding the required conditions α<β and β>1, issues related to the validity and approximation accuracy of this approximate formula have remained largely ignored in practice, partly because these conditions are too general to provide clear guidance...
October 5, 2016: Risk Analysis: An Official Publication of the Society for Risk Analysis
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