• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.105-113
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• 2022

Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.294-300
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• 2022

The article highlights the European experience of innovative educational technologies of training management specialists. Based on existing strategies, relevant in the European educational space, the introduction of regulatory elements to maintain a balance between the traditional and innovative format of the educational process, which is typical for the Ukrainian education system is proposed. The article aims to single out educational and technological innovations into a separate cluster of managerial training at different levels in the context of the principles of the modern synergetic sociocultural paradigm. The main objectives of the work are to develop settings to ensure the effective functioning of innovative educational technologies. Among the synergetic principles of educational technologies, providing the formation of necessary competencies of future managers, are: self-organization, interdisciplinarity, nonlinearity, individuality, and technologization. The methods used in the scientific study can be attributed to the group of scientific synergetic methodology. So, the training of specialists in management, implemented in the European practice assumes the use of new educational strategies. These technologies provide both the necessary skills of different levels (hard-soft-digital skills) and the observance of value components (solidarity, ethics, inclusiveness, openness).

• Journal of Engineering Education Research
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• v.26 no.5
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• pp.17-28
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• 2023

Generative AI has arrived and it's here. Education, research, industry, and labor are all on edge about the changes it will bring. It is noteworthy that while there is a wide range of optimistic and pessimistic predictions about the impact of generative AI, there is more concern than hope when it comes to education. This paper focuses on the lack of discussion on the impact of AI in higher education. First, we reviewed the process of the emergence of generative AI and introduced how the impact of AI is being understood from various perspectives. Second, we classified work areas based on expertise and efficiency and analyzed the impact of AI on work in each area. Finally, the study found that the educational perception of generative AI and the way it is perceived for engineering education purposes can be very different. It also argued that there is a lack of active discussion and debate on areas that need to be specifically discussed around generative AI. This has led to a phenomenon known as professors' delayed indifference. We emphasized that it is time for a serious and realistic discussion on the connection and integration of AI and education.

• Journal of Distribution Science
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• v.21 no.7
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• pp.65-71
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• 2023

Purpose: This study attempted to analyze the impacts of the backward linkage and output multipliers, and investigate the price fluctuation and the price forecast amongst the manufacturing sectors associated with food processing industrial output of Thailand. Research design, data and methodology: The Thailand Input-Output table with a size of 180 x 180 sectors from 2005, 2010, and 2015 was utilized while the secondary data of the time series from January 2002 to December 2021 were processed via a multiplicative model and Box-Jenkins model. Results: The backward linkage analysis indicates that canning and preserving of the meat sector majorly utilized the factors of production from the slaughtering sector; canning and preservation of fish and other seafoods sector largely used those factors from the ocean and coastal fishing sector; and the sugar sector used those of the sugarcane sector. Notably, the output multiplier analysis indicated that output multipliers of those 3 manufacturing sectors were highly increased; meanwhile the price fluctuation continually existed in all forms. Besides, the price forecast suggested that prices of chicken and sugarcane tended to be higher; whereas, the price of shrimp was unstable. Conclusions: Food processing industry contains the favorable components to be one of the industries of the future of Thailand.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.115-132
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• 2023

The globalization of Korean culture has spurred a steady increase in the participation of domestic fashion designers in global performance art. This study analyzes the formal elements of stage costume designs by fashion designers, and further evaluates the impact of these designers' aesthetic philosophies on overall performance. This analysis seeks to provide a foundation for the development of new directionality in performance art, with an enhanced competitiveness derived from diversity and creativity. The scope of this research spans 15 performances and eight fashion designers' works in the post-2010s era. These performances are characterized by their break from traditional artistic norms, illustrating the modernization of the performing arts and reflecting the designers' aesthetic philosophies. This modernization incorporates inspirations drawn from a diverse selection of movements, such as fusion, culture clash, kitsch, and minimal avant-garde. As a result, in combination with a pure reflection of the designers' aesthetics, these designs heighten overall performance, suggest a new direction for traditional performance art, tap into a popular sensibility to expand communication to a wider audience, and push the boundaries of tradition through artistic innovation.

• Communications for Statistical Applications and Methods
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• v.30 no.5
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• pp.485-499
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• 2023

This study aimed to predict the number of meals served in a group cafeteria using machine learning methodology. Features of the menu were created through the Word2Vec methodology and clustering, and a stacking ensemble model was constructed using Random Forest, Gradient Boosting, and CatBoost as sub-models. Results showed that CatBoost had the best performance with the ensemble model showing an 8% improvement in performance. The study also found that the date variable had the greatest influence on the number of diners in a cafeteria, followed by menu characteristics and other variables. The implications of the study include the potential for machine learning methodology to improve predictive performance and reduce food waste, as well as the removal of subjective elements in menu classification. Limitations of the research include limited data cases and a weak model structure when new menus or foreign words are not included in the learning data. Future studies should aim to address these limitations.

• Journal of Fashion Business
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• v.27 no.6
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• pp.47-65
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• 2023

The purpose of this study is to derive the future-oriented characteristics Sonia Delaunay presented at the time based on the identity and modernity shown in her works and diverse activity. The scope of study spans from 1907 to the start of World War II and includes both applied and fine arts, with a focus on textiles and fashion. The research method is a literary study that includes old documents, exhibition booklets, and explanations from museum curators. The visual materials are actual works observed at exhibitions and digital images of various exhibitions. As a result of the research, she was a practitioner who expressed her identity in marriage, artwork, textiles, and fashion. In order to embody her design and express modernity, she showed geometric and modern motifs and she incorporated a sense of bright color and modernized light into her work by following the principle of simultaneous contrast in color. Additionally, she applied Hungarian embroidery techniques to simple materials and created geometric abstraction with her simultaneous colors, which contributed to both originality and the mass production of textile design. The future-oriented characteristics she presented are the dynamism of modern rhythm, the expansion of convergence and collaboration, the innovation of new production and exhibition, the media of consumer society, and the femininity of modern life. She recognized the mass consumer society and mass production of the early 20th century and actively utilized various media and genres to evoke a dynamic sense necessary for modern life and presented a design to be seen as a modern woman.

• The Journal of Industrial Distribution & Business
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• v.15 no.4
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• pp.27-33
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• 2024

Purpose: Arts and cultural management are a field with unique meaning and significance. This study is uniquely based on the focus of arts and cultural management on social and cultural sustainability sets it apart from other related study fields. Through delving into arts and cultural management, one can quickly gain skills vis-à-vis creativity and innovation in traditional and emerging media platforms. Research design, data and methodology: The current researcher relied on the descriptive research design, arriving at and evaluating the findings. The descriptive research design was the most ideal because of the need to evaluate the various literature sources systematically and later describe them without undue influence. Results: This research's core finding of art and cultural management in the current literature may be split up four findings, such as (1) Art and Cultural Management is Fast Embracing Digital Innovations and Related Elements, (2) Data and Analytics in Art and Cultural Management, (3) Interdisciplinary Nature of Arts and Cultural Management Elements, and (4) Arts and Cultural Management Face Numerous Challenges that Define it and its Future. Conclusions: All in all, based on the literature findings, the present research concludes that It is incumbent upon the various stakeholders, such as the government, to prioritize the arts and cultural management field through adequate budgeting and allocation of money.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.51-59
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• 2024

Qiang ethnic group is one of the fifty-six ethnic minorities in China, and Qiang embroidery, as an important achievement of Qiang's intangible cultural heritage, is the precipitation and testimony of the history and culture of the Qiang ethnic group. However, with the development of the times, traditional and ancient Qiang embroidery is facing a dilemma due to the problem of a single form of communication. Therefore, it is necessary to add new communication media for Qiang embroidery to help it spread and develop better. In this paper, we extract the core representative patterns of Qiang embroidery, use the "shape grammars" as the rules of morphological changes, and generate new decorative pattern patterns with the characteristics of Qiang embroidery by adding, deleting, mirroring, rotating, and other relevant rules of changes, and combine the new patterns with the rules of formal beauty to combine the layout, which is then applied in the design of different cultural creations and products. The new patterns are combined with the rules of formal beauty and applied in the design of different cultural and creative products. To provide a quantitative method for the digital protection of Qiang embroidery in the new era of Chinese traditional art, and also provide new ideas for the industrialization application.

• Nuclear Engineering and Technology
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• v.56 no.5
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• pp.1667-1671
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• 2024

This paper presents a neutron/gamma detector based on a micropixel avalanche photodiode and a plastic scintillator that monitors the status of the accelerator-driven intense resonance neutron source (IREN) facility by measuring the neutron/gamma intensity in the target hall. The electronics of the neutron/gamma detector has been designed and developed. The size of the plastic scintillator was selected to be 3.7 × 3.7 × 30 mm³ due to the sensitive area of the MAPD. The experimental results demonstrated a dependence between the count rate of the detector and the frequency of the accelerator. The detector is sensitive to intermediate and fast neutrons. The minimum detectable energy was determined to be 200 keV using Cs-137 point gamma source. The maximum counting rate of the detector from TTL out is about 2.2⋅10⁶ counts/sec, but for analogue output it is about 2⋅10⁷ counts/sec. The detector can not allow discriminating neutrons and gamma rays by charge integration method.