• Asia pacific journal of information systems
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• 제32권4호
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• pp.750-769
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• 2022

Indonesia has the largest potential mobile payment (m-payment) market in Southeast Asia. The government has realised this through Government's National Non-Cash Movement to increase its adoption. This is then followed up by advocating its adoption massively. However, for this movement to be a success, ensuring its continued use is critical. Various studies have attempted to contribute to this issue. Incorporating game elements into the application that brings benefits and satisfaction to its user is envisaged as one of the most feasible ways. This study, therefore, sets out to investigate the effects of gamification on the m-payment application, which drive the intention to continued use by employing the Uses dan Gratification Theory (UGT). A total of 826 m-payment users were gathered to be analysed using Structural Equation Modelling. The results show that utilitarian, hedonic and social gratifications have significant effects on the continuance usage intention of m-payment. Theoretically, this study contributes to the literature by showing that gamification applied in the payment significantly affects the m-payment continuance usage intention. Practically, this research informs the m-payment providers to maintain the gamification elements in their applications to ensure their sustainable use. Limitations and future research directions are also discussed.

• Journal of Information Science Theory and Practice
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• 제12권2호
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• pp.79-95
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• 2024

The new AI based conversational chatbot, ChatGPT, launched in November 2022, is causing a stir. There are many opinions about this being a 'threat or a promise,' and thus it is important to understand what has been said about this tool and, based on the growing literature that has emerged on the subject, demystify its effective impact on society. To analyse this impact, a systematic literature review with the support of the preferred reporting items for systematic reviews and meta-analysis protocol was used. The data, scientific documents, were collected using the main scientific databases - SCOPUS and Web of Science - and the results were presented based on a bibliometric and thematic exploration of content. The main findings indicate that people are increasingly using this chatbot in more diverse areas. Therefore, this study contributes at the practical level, aiming to enlighten people in general - both in professional and personal life - about this tool and its impacts. Also, it contributes at the theoretical level, which involves expanding understanding and elucidation of the impacts of ChatGPT in different areas of study.

• Genomics & Informatics
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• 제19권3호
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• pp.21.1-21.5
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• 2021

The use of social media data, like Twitter, for biomedical research has been gradually increasing over the years. With the coronavirus disease 2019 (COVID-19) pandemic, researchers have turned to more non-traditional sources of clinical data to characterize the disease in near-real time, study the societal implications of interventions, as well as the sequelae that recovered COVID-19 cases present. However, manually curated social media datasets are difficult to come by due to the expensive costs of manual annotation and the efforts needed to identify the correct texts. When datasets are available, they are usually very small and their annotations don't generalize well over time or to larger sets of documents. As part of the 2021 Biomedical Linked Annotation Hackathon, we release our dataset of over 120 million automatically annotated tweets for biomedical research purposes. Incorporating best-practices, we identify tweets with potentially high clinical relevance. We evaluated our work by comparing several SpaCy-based annotation frameworks against a manually annotated gold-standard dataset. Selecting the best method to use for automatic annotation, we then annotated 120 million tweets and released them publicly for future downstream usage within the biomedical domain.

• 보건의료생명과학 논문지
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• 제10권2호
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• pp.231-236
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• 2022

다가오는 초고령사회는 보건의료복지 산업분야에 치위생사의 증대되는 역할과 직무가 요구되어질 것으로 예측되어, 일본 치과위생사 양성기관의 4년제 교육과정 중 복수전공 사회복지학을 조사하였다. 그리고 니가카 대학교 치학부 구강생명복지학과의 교육과정을 조사하여 우리나라 치위생학계의 발전을 위한 제안을 다음과 같이 하였다. 첫째 미래 학습자 중심의 치위생학과 교육목표를 설정한다. 둘째, 유연한 복수전공 교육제도의 도입을 위한 환경을 구축한다

• Asian Pacific Journal of Cancer Prevention
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• 제17권11호
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• pp.5025-5030
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• 2016

The objective of this study was to clarify how distance from place of residence to the nearest specialist cancer hospital affects the survival of lung cancer patients and the treatment received. For all patients diagnosed with lung cancer in the Aomori cancer registry database for the period from 2009 to 2011 (n=3,986). The distance to the treating hospital was measured as the straight line from a person's place of residence, and compared with findings from the Ederer II method for calculating relative survival. Information on treatments given was obtained by data extraction. We defined a hospital having respiratory medicine as specialist, while all private hospitals and clinics were included in the general category. Patients attending specialist hospitals numbered 2,548 (67.0%), and those treated at general institutions were 1,255 (33.0%). The patients who had the lowest relative survival with localized lesions lived <20 km from general hospitals and clinics. With more advanced stages, relative survival of those living <20 km from a specialist hospital was the lowest. Although the survival rate was not affected by the distance between place of residence and hospital, even when patients are diagnosed at a localized stage at a general hospital or clinic within 20 km from their home, they did survive longer in comparison with patients diagnosed at a specialist hospital.

• Genomics & Informatics
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• 제14권1호
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• pp.20-28
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• 2016

Internet addiction (IA) has become a widespread and problematic phenomenon as smart devices pervade society. Moreover, internet gaming disorder leads to increases in social expenditures for both individuals and nations alike. Although the prevention and treatment of IA are getting more important, the diagnosis of IA remains problematic. Understanding the neurobiological mechanism of behavioral addictions is essential for the development of specific and effective treatments. Although there are many databases related to other addictions, a database for IA has not been developed yet. In addition, bioinformatics databases, especially genetic databases, require a high level of security and should be designed based on medical information standards. In this respect, our study proposes the OAuth standard protocol for database access authorization. The proposed IA Bioinformatics (IABio) database system is based on internet user authentication, which is a guideline for medical information standards, and uses OAuth 2.0 for access control technology. This study designed and developed the system requirements and configuration. The OAuth 2.0 protocol is expected to establish the security of personal medical information and be applied to genomic research on IA.

• Asian Pacific Journal of Cancer Prevention
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• 제15권14호
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• pp.5545-5550
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• 2014

Background: Human biological materials from cancer patients are linked directly with public health issues in medical science research as foundational resources so securing "human biological material" is truly important in bio-industry. However, because South Korea's national R and D project lacks a proper managing system for establishing a national standard for the outputs of certain processes, high-value added human biological material produced by the national R and D project could be lost or neglected. As a result, it is necessary to develop a managing process, which can be started by establishing operating guidelines to handle the output of human biological materials. Materials and Methods: The current law and regulations related to submitting research outcome resources was reviewed, and the process of data 'acquisition' and data 'distribution' from the point of view of big data and health 2.0 was examined in order to arrive at a method for switching paradigms to better utilize human biological materials. Results: For the deposit of biological research resources, the original process was modified and a standard process with relative forms was developed. With deposit forms, research information, researchers, and deposit type are submitted. The checklist's 26 items are provided for publishing. This is a checklist of items that should be addressed in deposit reports. Lastly, XML-based deposit procedure forms were designed and developed to collect data in a structured form, to help researchers distribute their data in an electronic way. Conclusions: Through guidelines included with the plan for profit sharing between depositor and user it is possible to manage the material effectively and safely, so high-quality human biological material can be supplied and utilized by researchers from universities, industry and institutes. Furthermore, this will improve national competitiveness by leading to development in the national bio-science industry.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.273-285
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• 2021

This study estimates the financial value of return on investment (ROI) of research funds. Four simulation estimations are employed to measure ROI finance value that considers the outputs, outcomes, impacts and total ROI from the allocation input received. Research outputs, outcomes, and impacts can be quantitatively measured based on improvements to existing systems. In terms of input, the Malaysian government has allocated MYR301,350,000 for fundamental research in the 2021 budget compared with 2019, up 9.5 percent from 2019. It brings up the question: To what extent does the input of research funds allocated by the government yield a good return in outputs, outcomes, and impacts to the academic community, society, and country? The result of total ROI shows around MYR7 return is generated by researchers for each Malaysian ringgit channeled by the funder. More specifically, for a research project, it is more difficult to produce impacts and outcomes compared to research outputs. The positive return is evidence that all the allocated funds are beneficial to the stakeholders. The government can apply this approach in calculating ROI for evaluation and fund allocation to universities. Furthermore, the positive financial value of research output, outcome, and impact automatically contribute to a positive innovation environment in Malaysia.

• 보건의료생명과학 논문지
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• 제10권1호
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• pp.129-135
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• 2022

본 논문은 노인을 돌보는 핵심적인 역할을 수행 해야 할 간호학생을 대상으로 노인에 대한 편견, 사회적 거리감, 행동에 대해 기초 자료를 조사하여 간호학생의 노인에 대한 폭넓은 이해와 긍정적인 태도 향상을 위한 실행방안을 모색하고자 한다. 본 연구의 대상자는 경남 J시에 소재한 간호대학생 145명을 대상으로 설문조사를 하였으며, 자료분석은 IBM SPSS 21.0 프로그램을 사용하였다. 연구결과를 요약하면 대상자의 노인에 대한 행동은 노인에 대한 편견과 부적 상관관계(r=-.171, p=.040), 사회적 거리감과는 (r=.387, p<.001)정적 상관관계, 노인에 대한 사회적 거리감과 편견은 정적 상관관계(r=.171, p=.04.)가 있는 것으로 나타났다. 초고령화사회에서 노인간호의 핵심적인 역할을 수행해야 할 간호학생의 노인에 대한 편견, 사회적 거리감, 노인에 대한 긍정적인 행동은 중요한 요소이다. 그러므로 향후 지역별 간호학생의 차이 연구가 이루어져야 할 것이다.