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Adverse drug reactions (ADRs) represent a serious health problem all over the world, and how to detect ADRs in an early stage has drawn many researchers' attention and efforts. There are an increasing number of studies focused on this area and many techniques have been proposed to detect ADRs based on various data sources such as spontaneous reporting data, electronic health record, pharmaceutical...
This paper describes current research exploring the adaption of the Bridge21 pedagogical model for the provision of a Computer Science (CS) Continuing Professional Development (CPD) Programme for post-primary/high school teachers in the Republic of Ireland. This paper outlines the design of the programme and explores the delivery of two, week long CS CPD interventions delivered in the authors' home...
The IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015) announced a challenge in healthcare domain that concerns the quality of health inquiries on social media. The problem of the challenge is to reduce the repetition of posts for patient support forums. This problem gradually becomes hard to control due to the increase of forum users and lack of research within the forum's older...
This paper presents an analysis of star ratings in consumer reviews in Yelp, an online social platform for sharing consumer reviews about local businesses. In particular, we analyze consumer reviews about food businesses. We analyze how well or poorly the star ratings (on a scale of one star to five stars) associated with these reviews tally with the sentiment derived from the textual portion of the...
Underage drinking or adolescent alcohol use is a major public health problem that causes more than 4,300 annual deaths. Traditional methods for monitoring adolescent alcohol consumption are based on surveys, which have many limitations and are difficult to scale. The main limitations include 1) respondents may not provide accurate, honest answers, 2) surveys with closed-ended questions may have a...
In this position paper, I describe the rationale behind, and the early design of Scratch Data Blocks — a Scratch-based block-programming toolkit that allows Scratch users to program with public data from the Scratch online community.
A plane homogeneous porous layer saturated by gas and water is considered. A mathematical model describing distributions of the saturants' pressure and mass density along the transversal coordinate depending of the amount of the gas accumulated in the layer is developed. On this basis, with the use of the know Gassmann model, effective elasticity moduli and phase velocities of longitudinal and transversal...
Visitors of museums and cultural heritage sites are not different from other types of citizens and, hence, they are getting more and more engaged into a participatory culture that encourages them to play an active role and not only acting as information consumers. In this paper we describe a technological platform that makes it possible to enable such proactive behavior by supporting social storytelling...
Crowdsourcing has proved to be a feasible way of harnessing human computation for solving complex problems. However, crowdsourcing frequently faces various challenges: data handling, task reusability, and platform selection. Domain scientists rely on eScientists to find solutions for these challenges. CrowdTruth is a framework that builds on existing crowdsourcing platforms and provides an enhanced...
A company's capability to be involved in science popularization plays a very important role in advancing the nation's innovation capability. Based on the definition of a nation's science popularization capabilities, the company's science popularization's capability is put forward. In addition the theoretical model and indicator system of a regional company's science popularization capability is also...
Traffic congestion is still a crucial issue because it has a huge impact from the waste of time, the fuel to air pollution. Search information on traffic conditions have been widely available such as through Twitter and the website of CCTV, but the rapid development of online information services resulted in the lack of time to read the complete information. By utilizing the Twitter data, then created...
This paper presents strategy to classify tweets sentiment using Naive Bayes techniques based on trainers' perception into three categories; positive, negative or neutral. 50 tweets of ‘Malaysia’ and ‘Maybank’ keywords were selected from Twitter for perception training. In this study, there were 27 trainers participated. Each trainer was asked to classify the sentiment of 25 tweets of each keyword...
A medium-sized Massively Open Online Course (MOOC) was hosted by Peking University in 2013. Altogether 192 Chinese students came to Peking University and learned face-to-face, another 311 Chinese students participated online. This study targeted one research question: Were there any significant differences between the learning experiences and outcomes of onsite and online students? Although onsite...
Collaboration in a software project is affected by team spirit, perceived closeness or distance between team members, and by the effectiveness of working together. Communication style and the degree of indirection in communication could have an impact on all of the above-mentioned parameters. A FLOW model represents the paths, modes, and media used in the communication of a particular project. The...
This study presents an assessment of multiple approaches to determine the home and/or other important locations to a Twitter user. In this study, we present a unique approach to the problem of geotagged data sparsity in social media when performing geoinferencing tasks. Given the sparsity of explicitly geotagged Twitter data, the ability to perform accurate and reliable user geolocation from a limited...
At with the rapid development of web 2.0, large volume of freely opinion available on the different website, micro blogs, forum, newspaper, article, blogs etc. These opinions are very useful for individual, companies, product vendors and organization to making a crucial decision before buying any product or making the decision before manufacturing of any product and domain. However the individual,...
This paper presents a methodology for optimized utilization of merged Hidden Markov Models and Mixed Gaussian Model to classify lung sounds (LS) and heart sounds (HS) as a part of cardiopulmonary diagnostic assessment. Specifically this method was used as a criterion to determine most advantageous number of clusters for the HMMGMM model calculation. For this purpose, the LS and HS characteristics...
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