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https://www.readbyqxmd.com/read/28526822/shortest-paths-in-multiplex-networks
#1
Saeed Ghariblou, Mostafa Salehi, Matteo Magnani, Mahdi Jalili
The shortest path problem is one of the most fundamental networks optimization problems. Nowadays, individuals interact in extraordinarily numerous ways through their offline and online life (e.g., co-authorship, co-workership, or retweet relation in Twitter). These interactions have two key features. First, they have a heterogeneous nature, and second, they have different strengths that are weighted based on their degree of intimacy, trustworthiness, service exchange or influence among individuals. These networks are known as multiplex networks...
May 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28526035/microblogging-violent-attacks-on-medical-staff%C3%A2-in-china-a-case-study-of-the-longmen-county-people-s-hospital-incident
#2
Jia Tian, Li Du
BACKGROUND: A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People's Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China...
May 19, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28515661/improving-large-area-population-mapping-using-geotweet-densities
#3
Nirav N Patel, Forrest R Stevens, Zhuojie Huang, Andrea E Gaughan, Iqbal Elyazar, Andrew J Tatem
Many different methods are used to disaggregate census data and predict population densities to construct finer scale, gridded population data sets. These methods often involve a range of high resolution geospatial covariate datasets on aspects such as urban areas, infrastructure, land cover and topography; such covariates, however, are not directly indicative of the presence of people. Here we tested the potential of geo-located tweets from the social media application, Twitter, as a covariate in the production of population maps...
April 2017: Transactions in GIS: TG
https://www.readbyqxmd.com/read/28514195/analysis-of-the-use-and-impact-of-twitter-during-american-society-of-clinical-oncology-annual-meetings-from-2011-to-2016-focus-on-advanced-metrics-and-user-trends
#4
Naveen Pemmaraju, Michael A Thompson, Ruben A Mesa, Tejas Desai
PURPOSE: The use of social media, in particular Twitter, has substantially increased among health care stakeholders in the field of hematology and oncology, with an especially sharp increase in the use of Twitter during times of major national meetings. The most attended meeting in the oncology field is the ASCO annual meeting. Little is known about the detailed metrics involved in the use, volume, and impact of Twitter during the ASCO annual meeting. METHODS: We conducted a retrospective review of tweets during the ASCO annual meetings from 2011 to 2016...
May 17, 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/28513372/tweets-of-the-week
#5
(no author information available yet)
Nurses on Twitter.
May 17, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28506895/the-node-and-beyond-using-social-media-in-cell-and-developmental-biology
#6
REVIEW
Catarina Vicente, Aidan Maartens, Katherine Brown
Traditionally, strong scientific communities have been at least partly built around physical proximity - either by members of the same department or institute, or through regular meetings and conferences. The online environment and the rise of social media platforms now make it easier to build virtual communities of geographically dispersed people with a common interest. In this article, we explore how such networks can be nurtured, focussing on the Node - a community blog for and by developmental biologists...
May 12, 2017: Seminars in Cell & Developmental Biology
https://www.readbyqxmd.com/read/28504948/substructural-regularization-with-data-sensitive-granularity-for-sequence-transfer-learning
#7
Shichang Sun, Hongbo Liu, Jiana Meng, C L Philip Chen, Yu Yang
Sequence transfer learning is of interest in both academia and industry with the emergence of numerous new text domains from Twitter and other social media tools. In this paper, we put forward the data-sensitive granularity for transfer learning, and then, a novel substructural regularization transfer learning model (STLM) is proposed to preserve target domain features at substructural granularity in the light of the condition of labeled data set size. Our model is underpinned by hidden Markov model and regularization theory, where the substructural representation can be integrated as a penalty after measuring the dissimilarity of substructures between target domain and STLM with relative entropy...
May 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28499259/systematic-review-of-social-media-interventions-for-smoking-cessation
#8
REVIEW
John A Naslund, Sunny Jung Kim, Kelly A Aschbrenner, Laura J McCulloch, Mary F Brunette, Jesse Dallery, Stephen J Bartels, Lisa A Marsch
BACKGROUND: Popular social media could extend the reach of smoking cessation efforts. In this systematic review, our objectives were: 1) to determine whether social media interventions for smoking cessation are feasible, acceptable, and potentially effective; 2) to identify approaches for recruiting subjects; and 3) to examine the specific intervention design components and strategies employed to promote user engagement and retention. METHODS: We searched Scopus, Medline, EMBASE, Cochrane Central, PsychINFO, CINAHL, and Web of Science through July 2016 and reference lists of relevant articles...
May 2, 2017: Addictive Behaviors
https://www.readbyqxmd.com/read/28498309/effective-social-relationship-measurement-and-cluster-based-routing-in-mobile-opportunistic-networks
#9
Feng Zeng, Nan Zhao, Wenjia Li
In mobile opportunistic networks, the social relationship among nodes has an important impact on data transmission efficiency. Motivated by the strong share ability of "circles of friends" in communication networks such as Facebook, Twitter, Wechat and so on, we take a real-life example to show that social relationships among nodes consist of explicit and implicit parts. The explicit part comes from direct contact among nodes, and the implicit part can be measured through the "circles of friends". We present the definitions of explicit and implicit social relationships between two nodes, adaptive weights of explicit and implicit parts are given according to the contact feature of nodes, and the distributed mechanism is designed to construct the "circles of friends" of nodes, which is used for the calculation of the implicit part of social relationship between nodes...
May 12, 2017: Sensors
https://www.readbyqxmd.com/read/28498041/sense-of-community-on-twitter-and-instagram-exploring-the-roles-of-motives-and-parasocial-relationships
#10
Michael G Blight, Erin K Ruppel, Kelsea V Schoenbauer
Although research has explored the ways in which people form virtual communities to converse about media figures, television shows, and similar topics, little research has examined the link between virtual communities and the parasocial relationships (PSRs) that are often the focus of these conversations and users' experiences in those virtual communities. We examined sense of community (SOC) on Twitter and Instagram as a function of users' motives for use and users' PSR on the sites. In addition to examining the relative importance of different motives for using Twitter and Instagram, we predicted that PSR would mediate the association between motives for use and SOC...
May 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28496225/altmetric-analysis-of-2015-dental-literature-a-cross-sectional-survey
#11
J Kolahi, P Iranmanesh, S Khazaei
Introduction To report and analyse Altmetric data of all dental articles and journals in 2015.Methods To identify all 2015 dental articles, PubMed was searched via Altmetric platform using the following query: ("2015/1/1"[PDAT]: "2015/12/31"[PDAT]) AND jsubsetd[text] NOT 2016[PDAT] on November 12, 2016. Altmetric data of all 2015 dental articles and journals were extracted and analysed by Microsoft Office Excel 2016 using descriptive statistics, graphs and trend-line analysis. To find the most important and influential Altmetric factors, multi-layered perceptron artificial neural network was employed using SPSS 22...
May 12, 2017: British Dental Journal
https://www.readbyqxmd.com/read/28495341/estimation-of-the-prevalence-of-adverse-drug-reactions-from-social-media
#12
Thin Nguyen, Mark E Larsen, Bridianne O'Dea, Dinh Phung, Svetha Venkatesh, Helen Christensen
This work aims to estimate the degree of adverse drug reactions (ADR) for psychiatric medications from social media, including Twitter, Reddit, and LiveJournal. Advances in lightning-fast cluster computing was employed to process large scale data, consisting of 6.4 terabytes of data containing 3.8 billion records from all the media. Rates of ADR were quantified using the SIDER database of drugs and side-effects, and an estimated ADR rate was based on the prevalence of discussion in the social media corpora...
June 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28488493/tweets-of-the-week
#13
(no author information available yet)
Nurses on Twitter.
May 10, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28483467/the-effect-of-social-media-some-on-journal-impact-factor-and-parental-awareness-in-paediatric-urology
#14
F O'Kelly, G J Nason, R P Manecksha, S Cascio, F J Quinn, M Leonard, M A Koyle, W Farhat, M J Leveridge
BACKGROUND: Social media (SoMe) comprises a number of internet-based applications that have the capability to disseminate multimodal media and allow for unprecedented inter-user connectivity. The role of Twitter has been studied in conferences and education; moreover, there is increasing evidence that patients are more likely to use social media for their own health education. OBJECTIVE: The aim of this study was to assess the impact of social media platforms on the impact factor of both urological and paediatric journals that publish on paediatric urology, and to assess parental awareness of social media in paediatric urology...
April 21, 2017: Journal of Pediatric Urology
https://www.readbyqxmd.com/read/28482879/current-management-strategies-for-patellofemoral-pain-an-online-survey-of-99-practising-uk-physiotherapists
#15
Benjamin E Smith, Paul Hendrick, Marcus Bateman, Fiona Moffatt, Michael Skovdal Rathleff, James Selfe, Toby O Smith, Pip Logan
BACKGROUND: Patellofemoral pain (PFP) is considered one of the commonest forms of knee pain. This study aimed to identify how physiotherapists in the United Kingdom (UK) currently manage patellofemoral pain (PFP), particularly in relation to exercise prescription, and response to pain. METHODS: An anonymous survey was designed with reference to previous surveys and recent systematic reviews. Practising UK physiotherapists who treat patients with PFP were invited to take part via an invitation email sent through professional networks, the 'interactive Chartered Society of Physiotherapy (iCSP)' message board, and social media (Twitter)...
May 8, 2017: BMC Musculoskeletal Disorders
https://www.readbyqxmd.com/read/28479090/electrocardiogram-training-for-residents-a-curriculum-based-on-facebook-and-twitter
#16
Stanley S Liu, Sammy Zakaria, Dhananjay Vaidya, Mukta C Srivastava
BACKGROUND: We studied whether social media applications can serve as effective educational tools for teaching electrocardiogram (ECG) interpretation to medical residents. METHODS: 39 emergency, family, and internal medicine residents participated in the 33-week "ECG of the Week" curriculum via Facebook and Twitter. ECG skill was assessed before and after the study with a 10-ECG quiz. Outcomes of interest included predictors of participant response rates and post-study quiz performance...
April 22, 2017: Journal of Electrocardiology
https://www.readbyqxmd.com/read/28473305/quality-of-social-media-and-web-based-information-regarding-inappropriate-nuclear-cardiac-stress-testing-and-the-choosing-wisely-campaign-a-cross-sectional-study
#17
David E Winchester, Diana Baxter, Merry J Markham, Rebecca J Beyth
BACKGROUND: The World Wide Web and social media provide the public with access to medical information unlike any other time in human history. However, the quality of content related to cardiac stress testing is not well understood. OBJECTIVE: The aim of our study was to evaluate the quality of content on the Internet relating to the use of cardiac nuclear stress testing and the Choosing Wisely campaign. METHODS: We searched the World Wide Web, Google Video (including YouTube), and Twitter for information relating to these two topics...
May 4, 2017: Interactive Journal of Medical Research
https://www.readbyqxmd.com/read/28471066/bipolar-disorder-research-2-0-web-technologies-for-research-capacity-and-knowledge-translation
#18
Erin E Michalak, Sally McBride, Steven J Barnes, Chanel S Wood, Nasreen Khatri, Nusha Balram Elliott, Sagar V Parikh
RATIONALE, AIMS AND OBJECTIVES: Current Web technologies offer bipolar disorder (BD) researchers many untapped opportunities for conducting research and for promoting knowledge exchange. In the present paper, we document our experiences with a variety of Web 2.0 technologies in the context of an international BD research network: The Collaborative RESearch Team to Study psychosocial issues in BD (CREST.BD). METHODS: Three technologies were used as tools for enabling research within CREST...
May 4, 2017: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/28468748/twimed-twitter-and-pubmed-comparable-corpus-of-drugs-diseases-symptoms-and-their-relations
#19
Nestor Alvaro, Yusuke Miyao, Nigel Collier
BACKGROUND: Work on pharmacovigilance systems using texts from PubMed and Twitter typically target at different elements and use different annotation guidelines resulting in a scenario where there is no comparable set of documents from both Twitter and PubMed annotated in the same manner. OBJECTIVE: This study aimed to provide a comparable corpus of texts from PubMed and Twitter that can be used to study drug reports from these two sources of information, allowing researchers in the area of pharmacovigilance using natural language processing (NLP) to perform experiments to better understand the similarities and differences between drug reports in Twitter and PubMed...
May 3, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28466718/tweets-of-the-week
#20
(no author information available yet)
Nurses on Twitter.
May 3, 2017: Nursing Standard
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