5 research outputs found
People-Centric, ICT-Enabled Process Innovations via Community, Public and Private Sector Partnership, and e-Leadership: The Case of the Dompe eHospital in Sri Lanka
No full text<b>(a) Situation faced:</b> This case study is a unique example of a people-centric ICT-enabled BPM effort that overcame many challenges through steady championship fuelled by a multi-sectorial support network (local community, government agencies, private sector and institutes of higher education). Driven by a desire to make a difference, a weekly reputed regional hospital in Sri Lanka with chaotic, mundane, manual processes became a landmark success in its service efficiency and effectiveness via staged-continuous improvements, collaborative ideation, creative resource utilisation, and effective management of its “people” aspects.\ud
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<b>(b) Action taken:</b> The project took a multi-staged people-centric approach. Major attitudinal change efforts with staff helped to build a unified internal workforce that was empowered to understand the patients’ needs. The hospital’s physical environment was transformed into a peaceful, pleasant atmosphere that was free of chaos. The entire patient-care-process was mapped, analysed, and transformed with IT enabled process improvements. A new patient records management system and a mobile-channeling system was implemented to eliminate long queues and increase the quality of patient care. Continued reviews and improvements are key in this case, as the vision to make a difference does not end with a single initiative. \ud
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<b>(c) Results achieved:</b> The case illustrates how an ordinary government regional hospital’s patient-care pro-cess was transformed with the collective efforts of multi-stakeholder power. The reforms have enabled the hospital to increase the quality of patient care, enhance staff satisfaction, gain deep support, and get buy-in from higher authorities and the community. These process reform efforts enabled not only a one-off improvement initiative but a sustained success story that has received national and international attention.\ud
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<b>(d) Lessons learned:</b> A key takeaway is how all of the enabling elements (championship, community, and executive support), lined up, each making its own significant contribution. The absence or misaligned timing of any one of these elements could have caused the effort to stall or fail. The e-champion and his supporters selected and managed the people-centric resources and opportunities in a highly resource-constrained environment while balancing and strengthening the ongoing stakeholder relationships. These efforts served as the foundation for the success and sustainability of this case
Art and tradition of Sri Lanka - Volume 01: Music of Sri Lanka
No full textMusic Singing and playing musical instruments
have been developed and spread according to their unique
traditions all over the world. Therefore this book titled
‘Art and Tradition of Sri Lanka: Music of Sri Lanka’ can be
considered as a timely necessary task.
The author Dr. Gayathri Madubhani Ranathunga,
Senior Lecturer at the Fashion Design and Product
Development of the Department of Textile and Clothing
Technology, University of Moratuwa has made a noteworthy
effort in exploring the socio-cultural aspects of the history
of music of Sri Lanka. The book consists of four chapters.
The first chapter is about an unsighted overview of the
tradition in Sri Lanka. The second is about the chronological
development of the music tradition of Sri Lanka. The third
is about the history of musical instruments of Sri Lanka.
The forth is about musical instruments of today.Explorations
are based on archaeological evidences of Sri Lanka and it is
important that the author was able to build a sound dialogue
between Sri Lankan music tradition and its interaction with
society.
This scholarly work is very much vital for researchers
and students of the respective subject areas. Besides, anyone
who studies the practical side of aesthetic subjects can be
guided with insight into the music of Sri Lanka through a different perspective. Also, any who seeks subject matter
related to music of Sri Lanka can understand the content
easily.
One of the responsibilities of a university lecturer is to
contribute to the research culture and generously share and
publish earned knowledge. Therefore, I would like to wish
the author all success and may she involve in such service
and publish more research work in the future as well
A Novel aspect taxonomy and aspect extraction methodology for scholarly book reviews
No full textMany people decide on the quality of a product based on its online reviews, which is also the most commonly used method when purchasing books from online book stores. Compared to other products, a scholarly book is one of the most difficult products to purchase online since customers have limited access to its internal content. Therefore, a customer has to go through multiple reviews in order to get insight on the book. However, the sheer volume of online reviews makes it difficult for a human to process and extract all the meaningful information in order to make an educated purchase. As a result, a requirement for a sentiment analysis system for scholarly book reviews are much needed at this stage. A more accurate opinion of the book can be obtained through aspect-based summarization. This type of summarization of opinions is critical for scholarly book reviews since content, organization, and other features interpret whether the book can be recommended to a customer at a certain education level.
Compared to sentiment analysis on reviews of products/services such as movies or restaurants, there is no well-defined research in aspect extraction or aspect-based sentiment analysis of scholarly book reviews. Not surprisingly for this domain, there is no well-defined aspect taxonomy or an annotated dataset available to extract aspects or to identify aspect categories. Compared to other domains, identifying aspects of book reviews is difficult since aspects such as the quality of the book or the discussed topics always appear implicitly in reviews.
The main contribution of this research is to identify potential aspects and an aspect taxonomy for scholarly book reviews. We also present a (1.) dependency rule-based unsupervised model for aspect extraction, which works better than state-of-the-art unsupervised methods, and (2.) a clustering-based aspect category identification method. Both of these are important first steps for aspect-based sentiment analysis.
The aspect taxonomy for scholarly book reviews is a hierarchical model. Book and Author have been identified as the first level of the taxonomy. Readability, content, worthiness and price, are the next level of aspect taxonomy under the book aspect category. Author expertise has been identified as an aspect category under author. In order to validate the aspect taxonomy, an unsupervised aspect extraction and clustering algorithm is proposed. An existing dependency rule-based aspect extraction algorithm is improved by adding new rules that extract aspects from book reviews. Two existing clustering algorithms for aspect clustering are merged to obtain a new clustering algorithm to discover the categories of aspect terms. The clustering algorithm is able to find the semantic similarity of aspect terms, while considering the sharing words between aspect terms, and groups similar aspects in to a one cluster. After successfully generating an annotated corpus for the scholarly book reviews in the computer science domain with Cohen’s kappa statistics of 0.76, the dependency rule-based aspect extractor was able to extract both implicit and explicit aspects with precision 76.04%, recall 75.99% and overall F1-score 76.02%. The proposed semantic similarity based aspect clustering algorithm identifies the aspect in the following categories; book, author, readability, content, worthiness, price and author expertise with rand-index 14.41%, V-measure 36.29%, homogeneity 66.18% and completeness 25%
Design of an Rfid System for Asset Tracking and Inventory Management at Illinois State University
No full textIllinois State University (ISU) Facilities Management reports misplacement of university assets worth $176,495.20 (which equals to 0.1086% of total assets) annually according to the last 5 years\u27 data. According to the State of Illinois Government regulations, that amount should not exceed 0.1%. The current barcode scanning process for asset tracking and inventory management lacks efficiency in controlling the misplacement rate. Among the present technologies, a system of Radio Frequency Identification (RFID) technology could be used to track assets in the university. The purpose of this thesis is to explore the best ways of developing and implementing an RFID system for Illinois State University. The author proposes to implement a campus-wide RFID system for automatic tracking of university assets. The proposed system will help Facilities Management to improve the efficiency and accuracy in tracking all valuable assets, especially when they have been moved from where they belong
Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures
No full textTo date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we present Global PIQA, a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by 335 researchers from 65 countries around the world. The 116 language varieties in Global PIQA cover five continents, 14 language families, and 23 writing systems. In the non-parallel split of Global PIQA, over 50% of examples reference local foods, customs, traditions, or other culturally-specific elements. We find that state-of-the-art LLMs perform well on Global PIQA in aggregate, but they exhibit weaker performance in lower-resource languages (up to a 37% accuracy gap, despite random chance at 50%). Open models generally perform worse than proprietary models. Global PIQA highlights that in many languages and cultures, everyday knowledge remains an area for improvement, alongside more widely-discussed capabilities such as complex reasoning and expert knowledge. Beyond its uses for LLM evaluation, we hope that Global PIQA provides a glimpse into the wide diversity of cultures in which human language is embedded.See §A for author list. Global PIQA would not be possible without the efforts of all of the authors. Wealso thank several anonymous contributors who preferred not to be authors on this paper. The research of Yolanda Xavier is supported by Portuguese national funding through the FCT– Portuguese Foundation for Science and Technology, I.P. as part of the project UID/3213/2025– Linguistics Research Centre of NOVA University Lisbon (CLUNL) and by the Doctoral Grant (FCT PhD grant) number 2022.13977.BD from the same funder. Group 0025 is supported by the following grants: CLARIN-PL (POIR.04.02.00-00C002/19, FENG.02.04-IP.040004/24, 2024/WK/01), DARIAH-PL (POIR.04.02.00-00-D006/20, KPOD.01.18-IW.03-0013/23). Annika Simonsen was funded by the European Commission under grant agreement no. 101135671. CEB has been partially funded by the German ministry for education and research (BMBF) through the TRAILS project (grant number 01IW24005). Group 0070 is supported by funding from King Abdullah University of Science and Technology (KAUST)- Center of Excellence for Generative AI, under award number 5940. Group 0079 would like to thank Mr. Sudhir R. Narayana for help with correction and verification of items in their dataset. Sina Ahmadi gratefully acknowledges support from the University of Zurich (UZH) Postdoc Grant (reference number 269093). Group 0133 would like to thank the MbazaNLP community, including students from the University of Rwanda, School of Art and Languages. We would also like to thank Yonatan Bisk for useful insights into the original PIQA dataset
