• Smart Media Journal
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• v.11 no.4
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• pp.38-45
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• 2022

Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improves the performance by ameliorating networks and optimizing the loss function. However, the data-centric part of a whole project also needs more investigation. In this paper, we proposed a systematic strategy with three different annotation methods for plant disease detection: local, semi-global, and global label. Experimental results on our paprika disease dataset show that a single class annotation with semi-global boxes may improve accuracy. In addition, we also studied the noise factor during the labeling process. An ablation study shows that annotation noise within 10% is acceptable for keeping good performance. Overall, this data-centric numerical analysis helps us to understand the significance of annotation methods, which provides practitioners a way to obtain higher performance and reduce annotation costs on plant disease detection tasks. Our work encourages researchers to pay more attention to label quality and the essential issues of labeling methods.

• Journal of the Korean Society of School Health
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• v.35 no.2
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• pp.41-48
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• 2022

Purpose: The purpose of the study was to investigate the mediating effects of psychosocial well-being on the relationship between self-leadership and learning flow in nursing students. Methods: A total of 148 nursing students with online class experience participated in the study. The data were analyzed using the independent t-test, Pearson's correlation coefficient, PROCESS macro, and bootstrapping methods with SPSS Statistics 26.0. Results: The results showed that self-leadership, learning flow, and psychosocial well-being were significantly correlated, and self-leadership had a direct effect on learning flow. In other words, the higher the level of self-leadership, the higher the learning flow of nursing students. Psychosocial well-being was partially mediated by self-leadership and learning flow. Conclusion: It is necessary to develop and implement programs for self-leadership and psychosocial well-being enhancement as a strategy to enhance nursing students' learning flow.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.43-51
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• 2009

In this paper, we propose an efficient method of face retrieval by using PCA(principal component analysis) based features. The coarse-to-fine strategy is adopted to sort the retrieval results in the lower dimensional eigenface space and to rearrange candidates at high ranks in higher dimensional eigenface space. To evaluate similarity between a query face image and class reference image, we utilize the PD (projection distance), MQDF(modified quadratic distance function) and MED(minimum Euclidean distance). The experimental results show that the proposed method which rearrange the retrieval results incrementally by using projection distance is efficient for face image retrieval.

• Journal of Microbiology and Biotechnology
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• v.33 no.3
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• pp.277-287
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• 2023

Since the first discovery of antibiotics, introduction of new antibiotics has been coupled with the occurrence of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Rapid dissemination of ARB and ARGs in the aquatic environments has become a global concern. ARB and ARGs have been already disseminated in the aquatic environments via various routes. Main hosts of most of ARGs were found to belong to Gammaproteobacteria class, including clinically important potential pathogens. Transmission of ARGs also occurs by horizontal gene transfer (HGT) mechanisms between bacterial strains in the aquatic environments, resulting in ubiquity of ARGs. Thus, a few of ARGs and MGEs (e.g., strA, sul1, int1) have been suggested as indicators for global comparability of contamination level in the aquatic environments. With ARB and ARGs contamination, the occurrence of critical pathogens has been globally issued due to their widespread in the aquatic environments. Thus, active surveillance systems have been launched worldwide. In this review, we described advancement of methodologies for ARGs detection, and occurrence of ARB and ARGs and their dissemination in the aquatic environments. Even though numerous studies have been conducted for ARB and ARGs, there is still no clear strategy to tackle antibiotic resistance (AR) in the aquatic environments. At least, for consistent surveillance, a strict framework should be established for further research in the aquatic environments.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.86-95
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• 2022

Online recruitment websites discuss job demands in various fields, and job postings contain detailed job specifications. Analyzing this text can elucidate the features that determine job salaries. Text embedding models can learn the contextual information in a text, and explainable artificial intelligence frameworks can be used to examine in detail how text features contribute to the models' outputs. We collected 733,625 job postings using the WORKNET API and classified them into low, mid, and high-range salary groups. A text embedding model that predicts job salaries based on the text in job postings was trained with the collected data. Then, we applied the SHapley Additive exPlanations (SHAP) framework to the trained model and discovered the significant words that determine each salary class. Several limitations and remaining words are also discussed.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.93-99
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• 2021

The purpose of this study is to analyze recently developed tools and relevant literature in order to discuss development scheme of augmented reality-based programming tools targeting elementary school students. Literature review draws conclusion that touch mode in the mobile augmented reality is effective, especially in the environment where manipulates commands and it is required to design contents taking class environment and teaching-learning strategy into account. Such research findings indicate that augmented reality-based programming tools targeting elementary school students should be designed to increase their interest in programming in a way that when physical teaching materials or specific space are recognized, the programmed problems will be augmented to allow students to combine the commands in the augmented environment.

• The Journal of Economics, Marketing and Management
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• v.4 no.2
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• pp.1-19
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• 2016

The purpose of this study was to examine the issues involved in offering superior customer experience on fashion retail stores in Brazil. The approach used to access CEM (Customer Experience Management) issues was a special questionnaire with 23 questions, through a research with managers of three important brazilian fashion retail chains (focused on class A clients). Some statistical techniques were used for data processing. It was possible to analyze the aspects that impact on the customer experience and their relevance. it was possible to realize that CEM is effective in increasing productivity and, so, it can be used as a guideline matrix management in decision making to promote superior customer experiences. The classical management is usually conservative and avoids to deal with strategies that do not necessarily involve numbers. Dealing with intangible and so subtle experience is unusual and a huge challenge, but sometimes it is necessary to look beyond the obvious and accessible statistics. If CEM is a strategy to focus on operations and processes of a business around the customers experiences with the company, it is essential to structure it and find out its effectiveness.

• Asian Journal of Business Environment
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• v.14 no.1
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• pp.1-13
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• 2024

Purpose: This study explores the level of relevance of liability of foreignness (LOF) in foreign firms' decision to relocate or to expand their regional headquarters (RHQ) in Singapore. Research design, data and methodology: The research question is: what are the mitigating factors of LOF for RHQs operating in Singapore? This explorative study uses various resources from the government agencies: Singapore Economic Development Board such as annual reports between 2012 and 2022, investment programs and published interviews with RHQ's CEOs, Singapore Department of Statistics such as economic, socio-economic and investment data. Results: My study shows that years of nation-building toward a world-class infrastructure, identifying key-industries and conscientiously enhancing workforce skills and competency, developing and reviewing investment programs to attract and retain RHQs were the mitigating factors of LOF. Conclusion: This implies a low level of relevance of LOF in foreign firms' strategic choice to relocate or to expand their regional headquarters to Singapore. As such, the steady growth of multinational enterprises' (MNEs) RHQs in Singapore presents a challenge to the theoretical postulation of LOF positing that foreign firms are discriminated in host country-environment. As a result, incurring additional costs operating in an unfamiliar environment manifested by varying responses from the local actors. Singapore is a case in point.

• Journal of Microbiology and Biotechnology
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• v.33 no.11
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• pp.1412-1419
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• 2023

Retroviral integration into ancient vertebrate genomes left traces that can shed light on the early history of viruses. In this study, we explored the early evolution of retroviruses by isolating nine Spuma endogenous retroviruses (ERVs) and one Epsilon ERV from the genomes of Agnatha and Chondrichthyes. Phylogenetic analysis of protein sequences revealed a striking pattern of co-evolution between jawless fish ERV and their host, while shark ERV underwent ancient cross-class viral transmission with jawless fish, ray-finned fish, and amphibians. Nucleotide sequence analysis showed that jawless fish ERV emerged in the Palaeozoic period, relatively later than ray-finned fish ERV. Moreover, codon analysis suggested that the jawless fish ERV employed an infection strategy that mimics the host codon. The genealogical diversity of ERVs in the jawless fish genome highlights the importance of studying different viral species. Overall, our findings provide valuable insights into the evolution of retroviruses and their interactions with their hosts.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.681-691
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• 2018

The purpose of this study is to investigate the impacts of Collaborative Problem solving for Character competency (CoProC) strategy on the practical character competency and collaborative problem solving competency in middle school. For this study, 49 seventh grade students (two classes) were selected for use applying the CoProC strategy (CoProC group) while 46 students (two classes) were used for traditional lecture and experimental class (comparative group). In the result, CoProC group showed a statistically significant result in practical character competency than the comparative group. In the sub items of the competency, the CoProC group showed result statistically significant in cooperation, communication, responsibility, and positive self-understanding than the comparative group. Analysis of the effect size of students' practical character competency showed that the CoProC group results showed more effective than the comparative group in terms of care, cooperation, communication, honesty, responsibility, positive self-understanding, and self-regulation. In addition, we investigated the effect of the CoProC strategy on collaborative problem solving competency. As a result, it showed a large effect in the total score of collaborative problem solving competency. Among the sub items of the competency, 'exploration and understanding of members' showed a small size of effect and 'Establishing and maintaining team organization' showed a medium size of effect. 'Communication' and 'self-reflection' showed a large effect. CoProC strategy embedded in Science subject could improve students' collaborative problem solving competency through the process of scientific communication in the scientific inquiry process.