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11 results for “social media networks”
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 16. Social media postings
<p>After different stages of experimentation, we produced different statistical analysis of our results:</p> <p>a. concerning the most accessed social media. It indicated that Panoramio was the most visited, and Google+ had the majority of postings (Figure 16). </p> <p>The statistics indicate that the different social networks had different levels of impact on the children and that in the future developments the focus should be on those more frequently accessed. </p> <p>b. concerning the pedagogical content. A survey was done among teachers and children to evaluate the interest in our solutions and the quality of the educational content and therefore of the overall efficiency</p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 4. Augmented Reality with video movie and social media (a vertical loom in front of two reconstructed kilns and a wall of a Roman villa rustica)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages. </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 15. Social media visits
<p>We also point out the following the advantages of Google+: - Google+ is a more user-friendly than other social environments and very suitable for use by school children than other blogging environments (e.g. Wordpress); thus it stimulated the play-like learning. - Google+ is more customizable than other social environments; - By allowing teachers to post questionnaires and to share images and videos or links to content on the Time Maps website, the Google+ page acted as an aggregator of information and a for scaffolding the learning process. After different stages of experimentation, we produced different statistical analysis of our results: concerning the most accessed social media. It indicated that Panoramio was the most visited (Figure 15)</p> <p>The statistics indicate that the different social networks had different levels of impact on the children and that in the future developments the focus should be on those more frequently accessed. </p>
Medical Concept Normalization in Social Media Posts with Recurrent Neural Networks
<p>Text mining of scientific libraries and social media has already proven itself as a reliable tool for<br> drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept<br> in a controlled vocabulary, typically to the standard thesaurus in the Unified Medical Language<br> System (UMLS), is known as medical concept normalization. This task is challenging due to the<br> differences in medical terminology between health care professionals and social media texts coming<br> from the lay public. To bridge this gap, we use sequence learning with recurrent neural networks<br> and semantic representation of one- or multi-word expressions: we develop end-to-end architectures<br> directly tailored to the task, including bidirectional Long Short-Term Memory and Gated Recurrent<br> Units with an attention mechanism and additional semantic similarity features based on UMLS.<br> Our evaluation over a standard benchmark shows that recurrent neural networks improve results<br> over an effective baseline for classification based on convolutional neural networks. A qualitative<br> examination of mentions discovered in a dataset of user reviews collected from popular online health<br> information platforms as well as quantitative evaluation both show improvements in the semantic<br> representation of health-related expressions in social media.</p>
Exploring Korean adolescent stress on social media: A semantic network analysis
<p><strong>Korean Adolescent's Stress Semantic Network Analysis Project</strong></p> <p>Semantic Network Analysis for Korean Adolescent's Stress</p> <p>Input data file</p> <ul> <li>data_news.csv : News data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>)</li> <li>data_blog.csv : Blog data collected from Naver(<a href="https://www.naver.com">https://www.naver.com</a>) and Daum(<a href="https://www.daum.net">https://www.daum.net</a>)</li> </ul> <p>Output files</p> <ul> <li>Frequency Table of Each word in Documents (<em><strong>freq_news.csv</strong></em>, <em><strong>freq_blog.csv</strong></em>)</li> <li>TF-IDF(Term Frequency-Inverse Document Frequency) Table of Each word in Documents (<em><strong>tfidf_news.csv</strong></em>, <em><strong>tf_idf_blog.csv</strong></em>)</li> <li>Frequency Table of 30 keywords in Documents (<em><strong>freq_news_30.csv</strong></em>, <em><strong>freq_blog_30.csv</strong></em>)</li> <li>DTM(Document Term Matrix) of 30 keywords in Documents (<em><strong>DTM_news_30.csv</strong></em>, <em><strong>DTM_blog_30.csv</strong></em>)</li> <li>COM(Co-Occurrence Matrix) of 30 keywords in Documents (<em><strong>COM_news_30.csv</strong></em>, <em><strong>COM_blog_30.csv</strong></em>)</li> <li>Binary COM of 30 keywords in Documents (<em><strong>BinaryCOM_news_30.csv</strong></em>, <em><strong>BinaryCOM_blog_30.csv</strong></em>)</li> <li>Centrality Table of 30 keywords in Documents (<em><strong>centrality_news_30.csv</strong></em>, <em><strong>centrality_blog_30.csv</strong></em>)</li> </ul>
Triggering Events, Opinion Leader Networks, and Framing Strategies of Climate Change on Chinese Social Media
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Conectados: Social Networks and Social Media for Vaccine Uptake
ClinicalTrials.gov study NCT07096245. IPD Sharing: YES. Countries: 1. Publications: 0.
HOPE Social Media Intervention for HIV Testing and Studying Social Networks
ClinicalTrials.gov study NCT02944877. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data on: The role of technical characteristics in blockchain adoption: survey data from German social media network users
<p><span>Blockchain has become a hyped emerging technology that is predicted to be heavily influential in all our lives. Yet, until now, it has failed to deliver most of its advertised benefits. To tackle this problem and provide an explanation for the missing wider success, this study focuses on the role of technology features in the adoption of blockchain. Thus, this research integrates the view on technological characteristics, represented by aspects of the mindfulness concept, with the sociological aspects influencing technology adoption decisions based on the widely used unified theory of acceptance and use of technology (UTAUT). The resulting research model is evaluated using the partial least squares structural equation modelling (PLS-SEM) estimation approach with German social media network. The findings indicate that only high-level knowledge of distinct technology features (uniqueness) is influencing adoption decisions while the missing deeper understanding of these features hinders a careful evaluation of its benefits and meaningful use. This research expands the technology adoption literature by highlighting the role of technical characteristics and combining social, psychological and technological factors into one model. Further, it helps practitioners to understand the causes for the limited success of blockchain and advances the general knowledge on technology adoption.</span></p>
Media and Social Networks Consultation and Associated Factors Among Orthodontic Patients
ClinicalTrials.gov study NCT06734923. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data on: The role of technical characteristics in blockchain adoption: survey data from German social media network users
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International Brain Laboratory public data
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OpenNeuro
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