1,721,217 research outputs found
Taxonomic status of the arboreal Skink Lizard Dasia halianus (Haly & Nevill, 1887) in Sri Lanka and the redescription of Dasia subcaeruleum (Boulenger, 1891) from India
Wickramasinghe, L. J. M., Wickramasinghe, N., Kariyawasam, L. (2011): Taxonomic status of the arboreal Skink Lizard Dasia halianus (Haly & Nevill, 1887) in Sri Lanka and the redescription of Dasia subcaeruleum (Boulenger, 1891) from India. Journal of Threatened Taxa 3 (8): 1961-1974, DOI: 10.11609/jott.o2300.1961-74, URL: http://dx.doi.org/10.11609/jott.o2300.1961-7
Improving healthcare service quality and patients' life quality through mobile technologies: The case of diabetes self-management
Chronic diseases such as diabetes often require lifestyle adjustment and sometimes lifelong medical care especially when patients are not admitted to hospitals. In this context, self-management becomes pivotal. Anecdotal evidence suggests that using wireless technologies to facilitate self-management, in particular, is increasing adherence and even treatment outcome in chronic disease management. However, it is not clear if and how using wireless technology solutions also improves patients’ service quality perception concerning their healthcare. The objective of this chapter is to address this shortcoming in existing literature and propose a service quality framework for wireless solutions in healthcare settings.Sally Rao Hill, Indrit Troshani, Steve Goldberg, and Nilmini Wickramasingh
e-Health trends
The use of Information and Communications Technologies (ICT) to support the achievement of health outcomes has the potential to transform the manner in which health services are delivered. Although there is an increasing number of contributions in e-health research, knowledge in this area remains limited. In this chapter, we discuss current trends in pervasive e-health with the hope that this endeavor will assist e-health scholars channel their research efforts. Having extensively reviewed extant research, we focus on health education, electronic health records (EHR), standardization, and m-health.Indrit Troshani and Nilmini Wickramasingh
Less is More: Simplifying Network Traffic Classification Leveraging RFCs
The rapid growth of encryption has significantly enhanced privacy and security while posing challenges for network traffic classification. Recent approaches address these challenges by transforming network traffic into text or image formats to leverage deep-learning models originally designed for natural language processing, and computer vision. However, these transformations often contradict network protocol specifications, introduce noisy features, and result in resource-intensive processes. To overcome these limitations, we propose NetMatrix, a minimalistic tabular representation of network traffic that eliminates noisy attributes and focuses on meaningful features leveraging RFCs (Request for Comments) definitions. By combining NetMatrix with a vanilla XGBoost classifier, we implement a lightweight approach, LiM ("Less is More") that achieves classification performance on par with state-of-the-art methods such as ET-BERT and YaTC. Compared to selected baselines, experimental evaluations demonstrate that LiM improves resource consumption by orders of magnitude. Overall, this study underscores the effectiveness of simplicity in traffic representation and machine learning model selection, paving the way towards resource-efficient network traffic classification
Regulating pervasive e-health services
While the development of pervasive e-health services is experiencing growth in many countries worldwide, existing regulatory regimes are ill-equipped for dealing with them. In this chapter, we investigate institutional regulatory factors that can impact pervasive e-health services. These factors are important as they can shape both the nature of these services and their diffusion trajectory. We argue that coregulation, a mixture of direct monitoring and intervention of regulators through legislation and complete industry self-regulation, can be an effective approach for regulating the pervasive e-health services industry. Given the complex and dynamic nature of this industry, coregulation can minimize monitoring costs and enhance compliance.Indrit Troshani and Nilmini Wickramasingh
Introduction
This brief chapter introduces many important concepts and constructs and sets the scene for why a pervasive perspective is a prudent choice for supporting superior healthcare delivery in the current healthcare environment globally.Indrit Troshani and Nilmini Wickramasingh
Image 9 in Taxonomic status of the arboreal Skink Lizard Dasia halianus (Haly & Nevill, 1887) in Sri Lanka and the redescription of Dasia subcaeruleum (Boulenger, 1891) from India
Image 9. Dorsolateral view of the lectotype Dasia halianus BMNH 1908.3.19.3.Published as part of Wickramasinghe, L. J. M., Wickramasinghe, N. & Kariyawasam, L., 2011, Taxonomic status of the arboreal Skink Lizard Dasia halianus (Haly & Nevill, 1887) in Sri Lanka and the redescription of Dasia subcaeruleum (Boulenger, 1891) from India, pp. 1961-1974 in Journal of Threatened Taxa 3 (8) on page 1970, DOI: 10.11609/jott.o2300.1961-74, http://zenodo.org/record/498729
A pervasive wireless knowledge management solution to address urban health inequalities with indigenous Australians
A recent study by Adelaide Aboriginal and Torres Strait Islander Health (Gallagher et al., In our own backyard: Urban health inequalities and Aboriginal experiences of neighbourhood life, social capital and racism, 2009) revealed some alarming findings concerning the health status of these groups. One of the key health areas that requires attention is that of chronic diseases in general and diabetes in particular. We propose using a wireless knowledge-based system developed by INET for enabling effective and efficient monitoring of patients with diabetes. We argue that systematic use of this solution can improve self-management and lead to positive healthcare outcomes. Key aspects of the wireless diabetes solution to facilitate self-management of diabetes patients are highlighted. Adoption facilitators and barriers, assessment criteria, and policy implications are discussed.Nilmini Wickramasinghe, Indrit Troshani and Steve Goldber
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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