• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.551-562
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• 2021

Strategic management of universities is crucial for the regional competitiveness due to the high impact of universities on the economic growth of regions through entrepreneurial training and support. The study aimed to investigate the HEInnovate self-assessment tool, valuable in building entrepreneurship-oriented strategy, by considering the case of Turan University. The tool can be used to study entrepreneurial capabilities of the university and make strong management decisions. The self-assessment allows getting feedback from all stakeholders, including external ones, which helps to make institutional changes to influence the regional economic growth. The framework of the research is based on the theories of strategic management and regional competitiveness, which can be deployed with the HEInnovate self-assessment recommendations and findings. The research methodology comprises objective and functional approaches to system analysis. HEInnovate self-assessment by Turan university revealed some weaknesses in the university strategy and helped make some recommendations, namely, the university's entrepreneurial ecosystem must act as part of a regional business support ecosystem to provide input into local economic development, attract more international faculty and faculty with more practical experience, create an entrepreneurial culture across staff of the university, address a lack of internal structures to support staff, and improve university-business cooperation.

• Korean Medical Education Review
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• v.25 no.1
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• pp.3-16
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• 2023

Unlike in the past, standards for the quantity and quality of work expected from medical school faculty are continuously rising, causing changes and stress in various areas. This highlights the need for career development among medical school faculty for professional, personal, organizational, and societal reasons. The role of medical school faculty has become more diverse, leading to an increase in the types and levels of competencies required. Medical schools must support their faculty members with diverse identities in fully utilizing their capabilities to achieve the institution's mission. Furthermore, societal changes suggest that career development for medical school faculty will become even more crucial in the future. To achieve this, both individuals and organizations must make efforts and play appropriate roles. For this purpose, medical schools use a combination of promotion and tenure evaluations and faculty development programs, while individual faculty members follow a career path within the medical school environment. Medical school faculty must be able to meet the evolving demands at each stage of their careers. It is important for professors, who engage in career development, to have a clear sense of their identity and values, and to prioritize their career goals. Medical schools should also ensure that the implicit messages they convey align with the organization's explicit values. Finally, proactively preparing for future changes in society and generations is essential from a long-term perspective.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.109-118
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• 2023

Purpose - This research paper aims to examine the impact of entrepreneurial orientation (EO) and government support programs (GSP) on new product performance in Korean Small and Medium-sized Enterprises (SME). We specifically focus on the interaction between these two factors and their influence on the new product performance of Korean SMEs. Research design, data, and methodology - We collected survey questionnaires from SMEs that are certified with Inno-biz by the Korean Ministry of SMEs and Startups. The collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result - Based on the analysis, our findings indicate that the proactiveness and innovativeness dimensions of EO have a positive effect on new product performance. However, the risk-taking dimension of EO has a negative effect. Additionally, GSP exhibit both positive and negative moderating effects on different dimensions of EO. Conclusion - It is important to recognize that GSP are not a universal solution for all challenges faced by SMEs. Hence, it is crucial for policy-makers to have a clear understanding of SMEs' capabilities and the level of EO dimensions in order to identify types of GSP that could lead to positive outcomes, while minimizing the negative effects of GSP.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.143-151
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• 2023

Expanding exports of small and medium-sized companies is crucial for the continuous growth of the Korean economy. Therefore, the government operates various support systems to enhance the export capabilities of these companies. This study aims to analyze the impact of the Korean government's flagship export support system, known as the export initiation support system, on the performance of participating domestic companies. A fixed effect model using panel data was applied to examine the characteristics of 11,099 companies that participated in the export initiation support system from 2016 to 2019. The analysis revealed that the number of exporting countries, employees, and previous export volume had a significant impact on the export amount of participating companies. However, contrary to expectations, the number of overseas marketing participation and the GCL (global competence level) test did not show a significant impact. This study is significant as it provides implications for the development of support projects tailored to the specific needs of small and medium-sized companies, with the goal of improving the export support system.

• The Journal of Industrial Distribution & Business
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• v.14 no.8
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• pp.19-25
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• 2023

Using a procurement and construction stage emphasis on the capabilities of the Sub-Contractor (SC), the present research aims to discover the types of unfair activities between the Main Contractor (MC) and SC and their influence on project completion. This research also tries to figure out solutions which can reduce unfair activities between MC and SC. Research design, data and methodology: The qualitative textual analysis was selected for the current research and has been used by numerous previous researchers commonly to review relevant themes in the prior resources and suggested for researchers who conduct a reviewing procedure to analyze meta-analysis approach for figuring out better research findings from prior resources. Results: The result indicates the prevalence and consequences of bid shopping, emphasizing the need for transparency and fair bidding practices. Late payment issues were also found to be crucial for subcontractors' financial stability, urging the implementation of prompt payment legislation and agreements. Conclusions: In conclusion, the research revealed that subcontracting is common in construction projects, with general contractors relying on multiple subcontractors to carry out specific work items. The accomplishment of building projects hinges on the collaborative efforts between the main contractor (MC) and subcontractors (SCs), each focusing on different aspects of the project.

• Electronics and Telecommunications Trends
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• v.38 no.6
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• pp.1-11
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• 2023

Large language models seem promising for handling reasoning problems, but their underlying solving mechanisms remain unclear. Large language models will establish a new paradigm in artificial intelligence and the society as a whole. However, a major challenge of large language models is the massive resources required for training and operation. To address this issue, researchers are actively exploring compact large language models that retain the capabilities of large language models while notably reducing the model size. These research efforts are mainly focused on improving pretraining, instruction tuning, and alignment. On the other hand, chain-of-thought prompting is a technique aimed at enhancing the reasoning ability of large language models. It provides an answer through a series of intermediate reasoning steps when given a problem. By guiding the model through a multistep problem-solving process, chain-of-thought prompting may improve the model reasoning skills. Mathematical reasoning, which is a fundamental aspect of human intelligence, has played a crucial role in advancing large language models toward human-level performance. As a result, mathematical reasoning is being widely explored in the context of large language models. This type of research extends to various domains such as geometry problem solving, tabular mathematical reasoning, visual question answering, and other areas.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.182-189
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• 2023

A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

• The Journal of Korea Robotics Society
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• v.19 no.1
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• pp.130-138
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• 2024

High-precision 3D Object Detection is a crucial component within autonomous driving systems, with far-reaching implications for subsequent tasks like multi-object tracking and path planning. In this paper, we propose a novel approach designed to enhance the performance of 3D Object Detection, especially in heading angle estimation by employing a moving object segmentation technique. Our method starts with extracting point-wise moving labels via a process of moving object segmentation. Subsequently, these labels are integrated into the LiDAR Pointcloud data and integrated data is used as inputs for 3D Object Detection. We conducted an extensive evaluation of our approach using the KITTI-road dataset and achieved notably superior performance, particularly in terms of AOS, a pivotal metric for assessing the precision of 3D Object Detection. Our findings not only underscore the positive impact of our proposed method on the advancement of detection performance in lidar-based 3D Object Detection methods, but also suggest substantial potential in augmenting the overall perception task capabilities of autonomous driving systems.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.79-95
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• 2024

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

• Journal of Trauma and Injury
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• v.37 no.1
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• pp.1-5
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• 2024

The aim of this paper was to review the biomechanics of knife injuries, including those that occur during stabbing rampages. In knife stab attacks, axial force and energy were found to be 1,885 N and 69 J, respectively. The mean velocity of a stabbing motion has been reported to range from 5 to 10 m/sec, with knife motions occurring between 0.62 and 1.07 seconds. This speed appears to surpass the defensive capabilities of unarmed, ordinarily trained law enforcement officers. Therefore, it is advisable to maintain a minimum distance of more than an arm's length from an individual visibly armed with a knife. In training for knife defense, particularly in preparation for close-quarter knife attacks, this timing should be kept in mind. Self-inflicted stab wounds exhibited a higher proportion of wounds to the neck and abdomen than assault wounds. Injuries from assault wounds presented a higher Injury Severity Score, but more procedures were performed on self-inflicted stab wounds. Wound characteristics are not different between nonsuicidal self-injury and suicidal self-wrist cutting injuries. Consequently, trauma surgeons cannot determine a patient's suicidal intent based solely on the characteristics of the wound. In Korea, percent of usage of lethal weapon is increasing. In violence as well as murders, the most frequently used weapon is knife. In the crimes using knife, 4.8% of victims are killed. Therefore, the provision of prehospital care by an emergency medical technician is crucial.