ENABLING EHEALTH IN TRADITIONAL MEDICINE: A SYSTEMATIC REVIEW OF INFORMATION SYSTEMS INTEGRATION REQUIREMENTS

This paper shall investigate the information systems integration needs towards eHealth implementation in Traditional Medicine. This review seeks to answer questions related to the locations of the integration points for integrated systems for the accessibility of electronic health records in both Traditional Medicine and modern medicine to identify of the most suitable health information systems model and the selection of the concrete integration technologies and standards to be implemented. A systematic literature review was conducted to select the relevant studies. A total of 11 articles were finally included for assessment. The findings of this review revealed that data integration is considered the most important precondition for the basis of further integration and is the backbone or starting point of a successful integration project. Other information systems integration needs are information model, interoperability standards, workflow or process integration and access to multiple repositories from different platforms. Establishment of Traditional Medicine databases of medications, procedures, information and diseases is crucial to ensure a generic and extensible information model can be designed so that new data sources can be integrated without major changes to the data schema

Understanding the structure and meaning of Finnish texts: From corpus creation to deep language modelling

Natural Language Processing (NLP) is a cross-disciplinary field combining elements of computer science, artificial intelligence, and linguistics, with the objective of developing means for computational analysis, understanding or generation of human language. The primary aim of this thesis is to advance natural language processing in Finnish by providing more resources and investigating the most effective machine learning based practices for their use. The thesis focuses on NLP topics related to understanding the structure and meaning of written language, mainly concentrating on structural analysis (syntactic parsing) as well as exploring the semantic equivalence of statements that vary in their surface realization (paraphrase modelling). While the new resources presented in the thesis are developed for Finnish, most of the methodological contributions are language-agnostic, and the accompanying papers demonstrate the application and evaluation of these methods across multiple languages. The first set of contributions of this thesis revolve around the development of a state-of-the-art Finnish dependency parsing pipeline. Firstly, the necessary Finnish training data was converted to the Universal Dependencies scheme, integrating Finnish into this important treebank collection and establishing the foundations for Finnish UD parsing. Secondly, a novel word lemmatization method based on deep neural networks is introduced and assessed across a diverse set of over 50 languages. And finally, the overall dependency parsing pipeline is evaluated on a large number of languages, securing top ranks in two competitive shared tasks focused on multilingual dependency parsing. The overall outcome of this line of research is a parsing pipeline reaching state-of-the-art accuracy in Finnish dependency parsing, the parsing numbers obtained with the latest pre-trained language models approaching (at least near) human-level performance. The achievement of large language models in the area of dependency parsing— as well as in many other structured prediction tasks— brings up the hope of the large pre-trained language models genuinely comprehending language, rather than merely relying on simple surface cues. However, datasets designed to measure semantic comprehension in Finnish have been non-existent, or very scarce at the best. To address this limitation, and to reflect the general change of emphasis in the field towards task more semantic in nature, the second part of the thesis shifts its focus to language understanding through an exploration of paraphrase modelling. The second contribution of the thesis is the creation of a novel, large-scale, manually annotated corpus of Finnish paraphrases. A unique aspect of this corpus is that its examples have been manually extracted from two related text documents, with the objective of obtaining non-trivial paraphrase pairs valuable for training and evaluating various language understanding models on paraphrasing. We show that manual paraphrase extraction can yield a corpus featuring pairs that are both notably longer and less lexically overlapping than those produced through automated candidate selection, the current prevailing practice in paraphrase corpus construction. Another distinctive feature in the corpus is that the paraphrases are identified and distributed within their document context, allowing for richer modelling and novel tasks to be defined

The Living Environmental Education

This open access book is designed and written to bridge the gap on the critical issues identified in environmental education programs in Asian countries. The world and its environments are changing rapidly, and the public may have difficulty keeping up and understanding how these changes will affect our way of life. The authors discuss various topics and case studies from an Asian perspective, but the content, messaging, and lessons learned need not be limited to Asian cultures. Each chapter provides a summary of the intensive research that has been performed on pro-environmental behaviors, the experience of people working in industry and at home, and their philosophies that guide them in their daily lives. We highlight humanity’s potential to contribute to Sustainable Development Goals (SDGs) by understanding better the environmental psychology, social inclusion, and environmental sustainability and stewardship protection elements that contribute to responsible environmental citizenship. The content of the chapters in this book includes a discussion of the crucial issues, plans, and evaluations for sustainability theories, practices, and actions with a proposed management structure for maximizing the cultural, social, and ecological diversity of Asian experiences compared to other theories and cultures internationally. We intend that the data in this book will provide a comprehensive guide for students, professors, practitioners, and entrepreneurs of environmental education and its related disciplines using case studies that demonstrate the relationship between the social and behavioral sciences and environmental leadership and sustainability

The Living Environmental Education

This open access book is designed and written to bridge the gap on the critical issues identified in environmental education programs in Asian countries. The world and its environments are changing rapidly, and the public may have difficulty keeping up and understanding how these changes will affect our way of life. The authors discuss various topics and case studies from an Asian perspective, but the content, messaging, and lessons learned need not be limited to Asian cultures. Each chapter provides a summary of the intensive research that has been performed on pro-environmental behaviors, the experience of people working in industry and at home, and their philosophies that guide them in their daily lives. We highlight humanity’s potential to contribute to Sustainable Development Goals (SDGs) by understanding better the environmental psychology, social inclusion, and environmental sustainability and stewardship protection elements that contribute to responsible environmental citizenship. The content of the chapters in this book includes a discussion of the crucial issues, plans, and evaluations for sustainability theories, practices, and actions with a proposed management structure for maximizing the cultural, social, and ecological diversity of Asian experiences compared to other theories and cultures internationally. We intend that the data in this book will provide a comprehensive guide for students, professors, practitioners, and entrepreneurs of environmental education and its related disciplines using case studies that demonstrate the relationship between the social and behavioral sciences and environmental leadership and sustainability