• Knowledge Management Research
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• v.23 no.4
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• pp.69-89
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• 2022

As we enter a super-aged society, senior citizens' health issues are affecting a variety of fields, including medicine, economics, society, and culture. In this study, we intend to draw implications from unstructured data analysis such as text mining and social network analysis in order to apply digital health care service design for improving the cognitive ability of senior citizens. The research procedure of this study improved the service design methodology into a process suited to the analysis of unstructured data, and six steps were applied. Related keywords that exist on social media, focusing on cognitive improvement and healthcare for senior citizens, were collected and analyzed, and based on these results, the direction of healthcare service design for improving on the cognitive abilities of senior citizens was derived. The results of this study are expected to have academic and practical implications for expanding the scope of the use of big data analysis methods and improving existing healthcare service development methodologies.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.95-106
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• 2024

The article is devoted to the design and development of an information system for preserving the results of testing to verify the residual knowledge of students of the resource for training specialists in information and communication technologies. The purpose of the study is to provide a scientific justification for the problem of developing professional training of specialists in information and communication technologies in the process of using an information system to save test results to verify students' residual knowledge and to verify the effectiveness of its implementation in universities. According to the results of the experiment, it can be argued that the introduction of an information system to preserve the results of testing to test students' residual knowledge in the educational process contributes to the professional training of specialists in information and communication technologies at the universities of Ukraine. The practice of development and use of modern information technologies focused on the implementation of psychological and pedagogical goals of teaching and education is fundamentally new mediated by modern technical and technological innovations.

• Journal of Microbiology and Biotechnology
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• v.34 no.5
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• pp.1164-1177
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• 2024

Esophageal squamous cell carcinoma (ESCC) is among the most common malignant tumors of the digestive tract, with the sixth highest fatality rate worldwide. The ESCC-related dataset, GSE20347, was downloaded from the Gene Expression Omnibus (GEO) database, and weighted gene co-expression network analysis was performed to identify genes that are highly correlated with ESCC. A total of 91 transcriptome expression profiles and their corresponding clinical information were obtained from The Cancer Genome Atlas database. A mitochondria-associated risk (MAR) model was constructed using the least absolute shrinkage and selection operator Cox regression analysis and validated using GSE161533. The tumor microenvironment and drug sensitivity were explored using the MAR model. Finally, in vitro experiments were performed to analyze the effects of hub genes on the proliferation and invasion abilities of ESCC cells. To confirm the predictive ability of the MAR model, we constructed a prognostic model and assessed its predictive accuracy. The MAR model revealed substantial differences in immune infiltration and tumor microenvironment characteristics between high- and low-risk populations and a substantial correlation between the risk scores and some common immunological checkpoints. AZD1332 and AZD7762 were more effective for patients in the low-risk group, whereas Entinostat, Nilotinib, Ruxolutinib, and Wnt.c59 were more effective for patients in the high-risk group. Knockdown of TYMS significantly inhibited the proliferation and invasive ability of ESCC cells in vitro. Overall, our MAR model provides stable and reliable results and may be used as a prognostic biomarker for personalized treatment of patients with ESCC.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.73-78
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• 2024

The present world is full of challenges and opportunities for the women at work. Every woman works hard for academic growth and professional development. For the same reason they also face challenges every day such as stresses, tensions, problems and competitions. When these factors exceed above the strengths, the capabilities of a woman start drowning under stress. Stress is generally thought negative characteristic, but stress or tension maintained up to some level is necessary and effective towards work done at job. This paper covers the study relationship between job stressor and female teacher's performance. The study was carried out in Government Colleges of District Hyderabad, Pakistan. The teacher student relationship was selected as a stressor for female teachers. The study is descriptive in nature followed by method of correlation. A five point "Likert Scale" was developed to collect the data from the sample size of 158 college teachers drawn randomly and the collected data was assessed quantitatively. The relationship between the "teacher student" (as an indicator of job stress) and "female teachers' performance" was calculated by Pearson Correlation formula. The findings of the study show the significant correlations between the teacher student relationship and job stress in female teachers' performance where it is found that the stressor caused the poor Physical and Mental health of female teachers working in colleges.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.749-759
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• 2020

Over the years, numerous Micro, Small, and Medium Enterprises (MSMEs) have been vigorously established across many countries. Even though the Internet of Things (IoT) has enabled companies to anchorage business returns, most Indonesian MSMEs are highly susceptible to failure and one of the main issues is the inability to manage their financials effectively. The literature on accounting points out that the success of MSMEs owing to the usage of cloud-based Accounting Information Systems (AIS) or Cloud Accounting (CA) could reduce the rate of failure by managing multiple accounting information at a low cost. Although many benefits exist, Indonesian MSMEs are not adopting these platforms in their daily business activities. This study investigates the factors that influence Indonesian MSMEs' intention to adopt CA. The study is directed by unstructured in-depth interviews with seven bestseller MSMEs where a thematic analysis technique was employed to identify them. The interview findings and prevailing literature on the influencing factors based on the TOE (technological, organizational, and environmental) framework to adopt CA in Indonesian MSMEs context are perceived benefits outweighing the cost, perceived compatibility, perceived complexity, owner-manager knowledge on accounting, organization size, competitive pressure, and informal network. The conceptual model further includes government intervention as a moderator in the model.

• The Journal of Fisheries Business Administration
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• v.46 no.2
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• pp.43-57
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• 2015

The study aims to identify the current status of aquaculture information in Korea and suggests policy directions for its integrated management. Firstly, the study focuses on the identification of the current status of aquaculture information by reviewing how aquaculture information is managed. Secondly, this study identifies problems such as lacks in necessary aquaculture information, inefficiency caused by dispersion and overlapping of information, absence of integrated management system and insufficient sharing of information. After identifying the current status of aquaculture information and its problems, the study suggests three basic directions to systematically integrate and manage the information such as establishment of infrastructure for promoting the integrated management of aquaculture information, generation and systematic management of useful aquaculture information and enhancement of user convenience. Finally, the study suggests detailed strategies such as establishment of a foundation to facilitate integrated management of aquaculture information, organization of organic network, sharing of more information, creation of necessary information through demand survey, creation of systematic management system, provision of a customized total service, and increase in education and PR activities on information use.

• Journal of Information Technology Application
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• v.1
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• pp.173-211
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• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.61-81
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• 2007

A typical small firm in consumer goods sectors of developing countries is an OEM supplier to big MNCs. Lacking design and marketing capability, a small firm relies on the MNCs for survival but their long term growth is not guaranteed as the MNCs are always looking for, and ready to relocate to, cheaper production sites. In this light, we can say that there is something like "OEM trap" from which most firms from LDCs find difficult to move out (Lee 2005). In this situation, one way for long term growth and catch-up is to make a transition to the OBM (own brand manufacturer). But, the transition is not easy or even risky. This paper analyzes the cases of three companies in Korea to find out common features in their successful transition to OBM. They are Aurora World (a flush toy maker), Hankook Chinaware (a chinaware maker), and Hanacobi (a plastic-made food container maker with the Lock-and-Lock brand). These firms can be commonly characterized by 1) arranging access to external knowledge base and steady increase of in-house R&D efforts and capabilities leading to acquisition of formal IPRs and their management, and 2) establishment of global production networks with factories in lower-income countries as well as their own independent global marketing network.

• Journal of Nutrition and Health
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• v.10 no.2
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• pp.5-11
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• 1977

The mature human braun contains over 10 billion nerve cells (neurons), whose functions are directly related to the acquisition, transfer, processing, analysis, and utilization of all the information. There are also billions of glial cells, which serve primarily to support and to maintain the integrity of the neuron network and to synthesize an essential fatty strucfure, myelin. In the human brain DNA content therefore cell number rises rapidly until birth and then more slowly until $5{\sim}6$ months of age, when it reaches a maximum. While glial cells may be replaced, the more important nerve cell neurons can never be replaced once they are formed. Humans are born with their full complement of neurons and every neuron is as old as each individual. Thus prenatal malnutrition can seriously affect a person's entire life by severely inhibiting the production of neurons before birth.It has been demonstrated that in humans severe malnutrition during the fetal period and in infancy is associated with intellectual impairment. Severely malnourished children have brains smaller than average size and have been found to have $15{\sim}20%$ fewer brain cells than wellnourished childen. There is growing body of literature pointing to malnutrition as a cause of abnormal behavior as evidence that suggests these abnormalities may produce chromosomal damage that may persist forever. Although cognitive development in children is affected by multiple environmental factors, nutrition certainly deaerves more attention than it has received.

• Journal of Agricultural Extension & Community Development
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• v.8 no.2
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• pp.223-234
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• 2001

The community consciousness used to be the core of the social capital in rural Korea, and there used to be a long tradition of mutual trust and cooperation in rural village community in Korea. However, recent trends in rapid urbanization or de-ruralization may affected community consciousness and social capital in rural society in Korea. The social capital has been existed in terms of mutual trust, commonly shared norms, and cooperative behavior in farm work and daily life of rural people. Commonly shared norms and networks have accelerated social effectiveness and promoted cooperative work as well as moral and spiritual aspects of rural society. Social capital in terms of community consciousness, participation of village work, visit and invitation of the neighborhood, and participation in various village group and networks were suveyed in JanggogRi, Jori Myun, Paju city, Gyeonggi province. The data collected from 65 persons, and the major findings of the study were as follow; The respondents responded that the community consciousness of de-rural area decreased in general with a few exception in the groups of alumni, family, religion and voluntary society. Social capital in terms of participation of village work, visiting the neighbors and voting increased slightly. Further research on social capital should be conducted to strengthen community consciousness, and various measures to increase the social capital should be adopted for livable community development.