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Dec 18, 2023

Optimal model for selection of material with low emission of indoor air pollutants

When the amount of data to be reviewed is large and the properties of the material are complex, it is difficult to make a rational decision in selecting the optimal material. Therefore, in this study, we tried to develop an optimization model that comprehensively considers user requirements, performance and economic feasibility of materials for selecting materials with low emission of indoor air pollutants. To this end, a database was constructed considering the economic feasibility by applying the concept of LCC (Life Cycle Cost) and presenting price range options that can be selected by the user. A genetic algorithm was used to construct a model to derive a material plan that could achieve the target score while satisfying economic feasibility and user requirements. As a result of model verification and verification cases, materials were selected only within the range according to the price range option and user selection criteria for each space and part. The efficiency and effectiveness of this model were confirmed. In this study, reliable results can be presented by presenting a model that can automatically select an algorithm for the optimal preferred material selection problem that is difficult for humans to solve cognitively with database construction and user selection information. Since it can be used in other fields, scalability and usability of this model are expected. In addition, it helps user to reduce the time of the material selection process and the price of materials is also considered, so that it is expected to help improve the economic feasibility of overall construction.

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Aug 7, 2024

Enhancing operational performance: The impact of smart algorithms in Saudi Arabian sports facilities

The objective of this study was to examine the impact of utilizing smart algorithms on enhancing the operational performance of sports facilities in the Kingdom of Saudi Arabia. These algorithms, based on principles and concepts of artificial intelligence, aim to achieve functions such as learning, decision-making, data analysis, pattern recognition, planning, and problem-solving. The study aimed to identify the extent to which smart algorithms are utilized in sports facilities, assess the level of operational performance, explore the correlation between the use of smart algorithms and operational performance, and predict the level of operational performance based on the use of smart algorithms. The study employed a descriptive approach, specifically utilizing a survey study method. Participants included chairmen and members of boards of directors, executive directors, sports directors, administrators, specialists, and members of various committees. The study sample was intentionally selected from different categories within the study population. Two questionnaires were used to collect data from 325 participants. The findings revealed a lack of utilization of smart algorithms in sports facilities in the Kingdom of Saudi Arabia, indicating a low level of operational performance. Additionally, a correlation was observed between the use of smart algorithms and operational performance, suggesting that the level of operational performance can be predicted based on the utilization of smart algorithms. The study concludes that the implementation of intelligent algorithms can enhance the operational performance of sports facilities in the Kingdom of Saudi Arabia. It provides valuable insights into the effects of utilizing smart algorithms on improving operational performance.

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Dec 12, 2024

Gender-responsive policies to support women start-ups to make a difference in the world

The 2019 Social Enterprise Promotion Act in Thailand represents a pivotal step towards promoting social enterprises by fostering self-reliance and a fair and sustainable future for the country. Despite their significance, there is a noticeable research gap focusing on the factors that motivate Thai entrepreneurs to venture into social entrepreneurship. This study seeks to fill that gap by analyzing data from 2000 respondents in Thailand, utilizing linear regression to explore whether the awareness of the United Nations Sustainable Development Goals (SDGs), the adoption of digital technologies, extrinsic motivations, such as the overall societal view of entrepreneurs, social awareness, and perceptions of entrepreneurial capabilities influence the decision to start a social enterprise. In a gender comparison, our findings reveal that the societal context plays a crucial role for both genders, although in distinct ways: Male entrepreneurs are more influenced by individualistic extrinsic values, with motivations linked to power, respect, and societal recognition. In contrast, female entrepreneurs display a collectivistic orientation, being more likely to be inspired by intrinsic motivations, such as the success and visibility of other successful startups within their society. These findings underline the need for a gender-sensitive approach by government bodies, educational institutions, and other relevant organizations aiming to boost start-up rates of enterprises who “make a difference in the world”. Tailored support and educational programs to address the unique motivations and perspectives of male and female entrepreneurs could play a crucial role in enhancing the effectiveness of strategies designed to promote social entrepreneurship in Thailand and beyond.

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Jul 24, 2024

School or home: Exploring the impact of digital infrastructure on digital literacy of school-age young people in a developing economy

Digital literacy plays a very important role for a developing innovative economy, since one of the global trends significantly affecting the dynamics of open innovation is strengthening of the influence of digital technologies on all spheres of society. This paper seeks to study the impact of digital infrastructure on digital literacy of school-age young people, which starts and develops both at school and/or at home. This paper uses a balanced panel of statistical data that includes 18 regions of Kazakhstan surveyed for the period between 2016 and 2022 on four indicators: the level of digital literacy in Kazakhstan, the share of households with Internet access, the share of Internet users aged 6-15, and the number of students per PC in public schools. Methods of correlation, variance, and structural model analysis proposed hereby consist of successive stages and include five hypotheses for verification. The results have shown that (a) the literature has not accumulated a unified methodology for assessing digital literacy yet; (b) digital infrastructure in Kazakhstan’s public schools has been found to have a negligible impact on formation of digital literacy, as well as on the increase in the number of school-age Internet users; (c) the number of young school-age Internet users have been found to have a positive effect on formation of digital literacy in Kazakhstan; (d) access to the Internet at home has been found to have a significant stable impact on digital literacy in Kazakhstan and an increase in the share of young school-age Internet users. This paper is intended for decision makers, researchers, education and open innovation experts interested in opportunities for the development of citizens’ digital skills and competencies and the implementation of an open innovation economy strategy.

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Nov 10, 2023

Research on the Functional Construction of Vocational Medical Technology Training Bases

The construction of practical education bases in the construction of medical colleges in vocational colleges is an important way to meet the teaching requirements of medical courses and reflect the comprehensive practical education ability of vocational colleges. For medical students in vocational colleges, the improvement of practical ability is also an important way to continuously enhance and improve their professional and technical abilities. This article analyzes the construction of relevant training bases in the field of medical imaging, and explores the scientific methods for teaching and constructing traditional Chinese medicine imaging professional bases in vocational colleges through four typical paths: basic construction of practice bases, effective management of practice bases, targeted practical abilities, and professional skill training for cultivating teacher teams.

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Oct 20, 2023

Exploration of Training Approaches for Applied English Talents in the Context of New Liberal Arts

The reform of the training mode for English majors in the context of the new liberal arts is a dynamic process that conforms to social needs, continuously improves and optimizes. After a series of special investigations, this article proposes development ideas for the cultivation of English majors in local applied undergraduate universities based on the analysis of the demand for English majors' abilities in the job market. The aim is to solve the problems of unclear characteristics of English major talent cultivation in local applied undergraduate universities and weak competitiveness of graduates in employment.

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