• Physical Therapy Rehabilitation Science
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• 제11권2호
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• pp.224-234
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• 2022

Objective: The purpose of this study was to identify the practitioner and organizational characteristics that either detracted from or encouraged the use of evidence-based practice (EBP) by physical therapists. Design: A cross-sectional survey study Methods: Participants were 260 physical therapists currently practicing in South Korea. They completed a questionnaire designed to determine attitudes, beliefs, interest, self-efficacy and barriers to EBP, as well as demographic information about themselves and their practice settings. Logistic regression was used to examine relationships between socio-demographic and work environment characteristics and each practitioner factor. Results: Respondents agreed that the use of evidence in practice was necessary. Although 80% of them agreed that research findings are useful, 71% felt that a divide exists between research and practice. In terms of confidence in their skills, the ability to interpret results of statistical procedures ranked lowest. Despite internet access at work for 63% of respondents, only 14% were given protected work time to search and appraise the literature. Only 2% of respondents stated that their organization had a written requirement to use current evidence in their practice. The primary barrier to implementing EBP was a reported lack of time. Conclusions: In conclusion, most physical therapists stated they had a positive attitude toward EBP and were interested in learning or improving the skills necessary for implementation. Most recognized a need to increase the use of evidence in their daily practice, but a lack of ability to understand the results of research represents a significant barrier to implementing EBP.

• Computers and Concrete
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• 제29권 6호
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• pp.433-444
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• 2022

Concrete's compressive strength is widely studied in order to understand many qualities and the grade of the concrete mixture. Conventional civil engineering tests involve time and resources consuming laboratory operations which results in the deterioration of concrete samples. Proposing efficient non-destructive models for the prediction of concrete compressive strength will certainly yield advancements in concrete studies. In this study, the efficiency of using radial basis function neural network (RBFNN) which is not common in this field, is studied for the concrete compressive strength prediction. Complementary studies with back propagation neural network (BPNN), which is commonly used in this field, have also been carried out in order to verify the efficiency of RBFNN for compressive strength prediction. A total of 13 input parameters, including novel ones such as cement's and fly ash's compositional information, have been employed in the prediction models with RBFNN and BPNN since all these parameters are known to influence concrete strength. Three different train: test ratios were tested with both models, while different hidden neurons, epochs, and spread values were introduced to determine the optimum parameters for yielding the best prediction results. Prediction results obtained by RBFNN are observed to yield satisfactory high correlation coefficients and satisfactory low mean square error values when compared to the results in the previous studies, indicating the efficiency of the proposed model.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.310-314
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• 2022

Digitalization affects not only the content of education, but also its organization. These processes have ambiguous implications for the positioning of both universities and teaching staff. The necessary competencies are often acquired outside the walls of educational institutions, because educational programs often do not keep pace with the dynamics of technology. The teacher turns from a bearer of transmitted knowledge and skills into a navigator that helps to navigate the knowledge bases. All these issues are especially acute in relation to the reform of the higher education system in the context of pandemic consequences. The article examines and analyzes the features of the transformation of higher education in the context of a pandemic that faced the world in 2020. It has been proved that the processes of changes and transformations that the higher education system is going through both in an individual country and throughout the world should be defined as transformation, not modernization, reform or transformation.

• 반도체디스플레이기술학회지
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• 제22권1호
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• pp.104-112
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• 2023

Agriculture plays an industrial and economic role, as well as an environmental and ecological conservation role, group harmony and the inheritance of traditional culture. However, no matter how advanced the industry is, the basic food necessary for human life can only be produced through the photosynthesis of plants with natural resources such as the sun, water, and air. The Food and Agriculture Organization of the United Nations (FAO) predicts that the world's population will increase by another 2 billion people by 2050, and it faces a myriad of complex and diverse factors to consider, including climate change, food security concerns, and global ecosystems and political factors. In particular, in order to solve problems such as increasing productivity and production of agricultural products, improving quality, and saving energy, it is difficult to solve them with traditional farming methods. Recently, with the wind of the 4th industrial revolution, ICT convergence technology and artificial intelligence have been rapidly developing in many fields, but it is also true that the application of new technologies is somewhat delayed due to the unique characteristics of agriculture. However, in recent years, as ICT and artificial intelligence utilization technologies have been developed and applied by many researchers, a revolution is also taking place in agriculture. This paper summarizes the current state of research so far in four categories of agriculture, namely crop cultivation environment management, soil management, pest management, and irrigation management, and smart farm research data that has recently been actively developed around the world.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.149-156
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• 2023

Joint research on software, electronic engineering, computer engineering, and financial engineering and the use of ICT knowledge through network formation play an important role in strengthening science and technology-based innovation capabilities and facilitating the development and production process of products using new technologies. For the purpose of this study, I would like to strategically propose ICT specialized education in the 4th industrial revolution. To this end, the ICT specialization model, ICT specialization strategy analysis, and ICT specialization operation and effect were explored to establish ICT specialization strategies centered on software, electronic engineering, computer engineering, and financial engineering in the era of super-intelligence, hyper-connected, and hyper-convergence. Secondly, a roadmap for detailed promotion tasks related to efficient ICT characterization based on core strategies, detailed promotion tasks, and programs was proposed, focusing on talent related to ICT characterization. Thirdly, we would like to propose a reorganization of the academic structure and organization related to ICT characterization. Finally, we would like to propose the establishment of a future-oriented education system related to ICT specialization based on the advanced education and research environment.

• 유통과학연구
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• 제20권4호
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• pp.85-94
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• 2022

Purpose: Previous research has found that organizational performance pressures and barriers have an effect on the long-term viability of Micro, Small, and Medium Enterprises (MSMEs). Furthermore, MSMEs' intellectual capital and strategic orientation, according to recent research findings, have an impact on this. The goal of this study is to see how intellectual capital and strategic orientation affect MSMEs' performance. Research design, data and methodology: The performance of MSMEs is the dependent variable, with intellectual capital, market orientation, learning orientation, and technical orientation as independent factors. With a sample size of 113 respondents, this research focused on information technology-based MSMEs in Indonesia's Solo Raya area. Data was analyzed use Confirmatory Factor Analysis for the reliability test and path analysis SEM. Results: The interaction between intellectual capital and strategic orientation in respect to MSMEs' performance reveals that innovation capability serves as a partial mediator in the relationship between intellectual capital and technical orientation and organization performance. Conclusions: In general, intellectual capital and strategic orientation have a positive substantial influence on innovation, according to the findings. Furthermore, they have a considerable favorable influence on the performance of MSMEs. It's just that intellectual capital has no discernible impact on knowledge sharing.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.202-206
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• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

• 의학교육논단
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• 제25권2호
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• pp.119-125
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• 2023

Pusan National University School of Medicine (PNUSOM) began analyzing the cohort of pre-medical students admitted in 2015 and has been conducting purposeful analyses for the past 3 years. The aim of this paper is to introduce the process of cohort establishment, cohort composition, and the utilization of cohort analysis results. PNUSOM did not initially form a cohort with a purpose or through a systematic process, but was able to collect longitudinal data on students through the establishment of a Medical Education Information System and an organization that supports medical education. Cohort construction at our university is different in terms of a clear orientation toward research questions, flexibility in cohort composition, and subsequent guideline supplementation. We investigated the relevance of admission factors, performance improvements, satisfaction with the educational environment, and promotion and failure rate in undergraduate students, as well as performance levels and career paths in graduates. The results were presented to the Admissions Committee, Curriculum Committee, Learning Outcomes Committee, and Student Guidance Committee to be used as a basis for innovations and improvements in education. Since cohort studies require long-term efforts, it is necessary to ensure the efficiency of data collection for graduate cohorts, as well as the validity and ethics of the study.

• 한국비블리아학회지
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• 제19권1호
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• pp.19-36
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• 2008

온톨로지는 기 구축된 지식체계나 개념에 대한 기술요소들을 통합하여 새로운 지식 체계를 제시할 수 있다는 장점이 있다. 이러한 장점을 바탕으로, 본 연구에서는 교육 분야의 상황과 관련된 객체들-인적자원, 기관, 교육자원 등-을 고려한 온톨로지를 구축하고자 하였다. 즉 현재 사용되고 있는 교육 분야의 지식체계나 메타데이터, 온톨로지를 통합하여 새로운 교육 온톨로지를 개발하고자 하였다. 학교도서관과 MLA를 연계한 교수-학습 활동을 교육 온톨로지라는 하나의 프레임워크로 제시하였으며, 그에 대한 특성은 다음과 같다. 첫째, 기존 교육관련 메타데이터 및 온톨로지를 활용하였으며, 둘째, 교육 온톨로지 개념을 먼저 제시하고 그에 맞는 교육 분야 클래스와 속성을 정의하였다. 셋째, 기존의 클래스와 속성을 연결하기 위한 새로운 요소들을 추가하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.686-693
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• 2022

Construction is a collaborative endeavor. The complexity in delivering construction projects successfully is impacted by the effective collaboration needs of a multitude of stakeholders throughout the project life-cycle. Technologies such as Building Information Modelling and relational project delivery approaches such as Alliancing and Integrated Project Delivery have developed to address this conundrum. However, with the onset of the pandemic, the digital economy has surged world-wide and advances in technology such as in the areas of machine learning (ML) and Artificial Intelligence (AI) have grown deep roots across specializations and domains to the point of matching its capabilities to the human mind. Several recent studies have both explored the role of AI in the construction process and highlighted its benefits. In contrast, literature in the organization studies field has highlighted the fear that tasks currently done by humans will be done by AI in future. Motivated by these insights and with the understanding that construction is a labour intensive sector where knowledge is both fragmented and predominantly tacit in nature, this paper explores the integration of AI in construction processes across project phases from planning, scheduling, execution and maintenance operations using literary evidence and experiential insights. The findings show that AI can complement human skills rather than provide a substitute for them. This preliminary study is expected to be a stepping stone for further research and implementation in practice.