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A Survey Study on Researchers' Satisfaction with Institutional Review Board Reviews and Demands for Enhancing Human Research Protection Programs (Institutional Review Board 심의에 대한 연구자 만족도 및 임상연구보호프로그램 개선 요구도에 대한 설문조사 연구)

  • Sinyoung Park;Cho Rong Ahn;Yang Hee Noh;Se Joo Kim;Sun Young Rha
    • The Journal of KAIRB
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    • v.5 no.2
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    • pp.43-50
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    • 2023
  • Purpose: Due to the stringency of regulations related to clinical research, researchers face various requirements in the Institutional Review Board (IRB) review process. Specifically, they encounter time constraints and administrative burdens. In order to cultivate a more favorable review culture and establish a robust research environment, it is necessary to analyze researchers' perceptions of the IRB review. Therefore, this study aims to assess researchers' overall experiences with the IRB and identify researchers' educational needs and demands for research-related policies. Methods: A semistructured questionnaire with 34 items was developed and refined in consultation with advisors from IRB and Human Research Protection Program (HRPP). The questionnaire was distributed via an online survey to researchers with experience in IRB review. The survey covered general characteristics, satisfaction with the IRB review process (rated on a 10-point scale), experiences with IRB review, HRPP policy demands. Results: The study's descriptive statistics revealed a moderate satisfaction level (average rating, 6.75 out of 10) with the IRB review. Researchers from clinical medicine and other disciplines showed similar satisfaction scores of 6.65 and 6.87, respectively. However, respondents with over 5 years of research experience expressed higher satisfaction (mean score, 7.03) compared to those with less experience (mean score, 6.57). Institutional support was emphasized for improving the IRB review process. Certain training topics generated higher demands for addressing frequently raised IRB issues among minor discipline researchers compared to clinical medicine (p=0.017). Conclusion: We conducted an analysis of researchers' perceptions regarding the IRB as well as their demands concerning educational and HRPP policies. It is imperative to address the pinpointed areas for enhancement and integrate a range of perspectives in order to effectively cultivate a robust research ethics culture and ensure comprehensive participant protection.

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Swelling behavior Simulation Study of KJ-II Bentonite Buffer Blocks under Various Experimental Conditions (다양한 실험조건에 따른 경주 벤토나이트 완충재 블록의 팽윤 거동 해석)

  • Lee, Deuk-Hwan;Go, Gyu-Hyun;Lee, Gi-Jun;Yoon, Seok
    • Journal of the Korean Geotechnical Society
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    • v.40 no.2
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    • pp.29-40
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    • 2024
  • This study aimed to evaluate the swelling behavior characteristics of KJ-II buffer blocks by performing numerical analysis of swelling pressure measurement experiments using the nonlinear elasticity model of COMSOL Multiphysics. The analysis was conducted under boundary conditions that included isotropic constraints and water injection pressure, mirroring the experimental settings. Validation of the numerical model was achieved by comparing its outputs with experimental results. The validated model was then used to simulate swelling deformations under unconfined conditions and to analyze swelling pressure as influenced by dry density and the geometric shape of the buffer material. The results accurately represented the swelling deformation observed during the saturation process and demonstrated that swelling pressure increases with higher dry density. Moreover, simulations concerning the geometric shape of the buffer material indicated a markedly faster rate of pressure increase in U-shaped samples compared to cylindrical ones. Analysis suggested that stress manifested preemptively near the internal edges of U-shaped samples during saturation. To enhance the simulation's fidelity to actual buffer material behavior, further refinement of the analysis model using a nonlinear elasticity model is recommended.

Factors Affecting Intention of Youth Entrepreneurship : A Comparative Study of Mentored vs. Non-Mentored Groups (청년 창업의도에 영향을 미치는 요인에 관한 연구 : 창업 멘토링 유무의 차이를 중심으로)

  • Lee, Joon-byeong;Lee, Sang-jik
    • Journal of Venture Innovation
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    • v.7 no.1
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    • pp.201-223
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    • 2024
  • This study undertook an empirical analysis to examine the impact of various factors on entrepreneurial intention among young people, with a particular focus on the role of startup mentoring. Employing a survey distributed nationwide, data from 250 valid respondents were subjected to structural equation modeling to investigate these dynamics. The analysis uncovered that workplace stress, subjective norms, and perceived behavioral control positively influence the entrepreneurial intentions of youth. Meanwhile, technological constraints negatively affected these intentions. The study did not explore the potential effects of future uncertainty and the burden of failure. Significantly, it was found that startup mentoring plays a crucial role in mitigating the negative impacts that may deter young individuals from pursuing entrepreneurship. Mentoring was instrumental in reducing negative influences, thereby fostering a more conducive environment for entrepreneurial ambition. By integrating the Push-Pull-Mooring (PPM) and Theory of Planned Behavior (TPB) models, this research not only validates these frameworks within the context of youth entrepreneurship but also underscores the essential function of startup mentoring in enhancing entrepreneurial intentions. The insights from this study highlight the importance of mentoring programs in nurturing the entrepreneurial spirit among the youth, suggesting that targeted mentoring support can play a pivotal role in overcoming barriers to entrepreneurship.

The Study on well-aging using digital fitness technology (디지털피트니스 기술을 활용한 웰에이징에 관한 연구)

  • Seungae Kang
    • Convergence Security Journal
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    • v.24 no.3
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    • pp.231-237
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    • 2024
  • The rapid aging of the global population poses significant challenges to public health systems, as it often correlates with various physical, cognitive, and social declines among the elderly. Traditional approaches to promoting healthy aging emphasize the importance of physical activity, mental engagement, and social connectivity. However, factors such as mobility issues and resource constraints can limit the accessibility and effectiveness of these approaches. Digital fitness technologies, including wearable devices, mobile applications, virtual reality platforms, and AI-based feedback systems, present innovative solutions with the potential to enhance the physical, cognitive, and social well-being of older adults. This study analyzes the latest trends in digital fitness technologies and proposes strategies for effective utilization in promoting well-aging. Specifically, it addresses the need for improved technology accessibility through affordable devices and user-friendly interfaces, the development of personalized fitness programs, strategies to enhance ongoing participation such as social interaction and gamification, and solutions for data protection and ethical issues. Effective implementation of these strategies is expected to significantly improve the health and well-being of older adults. Future research and policy development should incorporate these elements to maximize the impact of digital fitness technologies and enhance the overall quality of life for the elderly.

A Multi-chiller Operation Model Based on Deep Reinforcement Learning Considering Minimum Up-time Constraint (최소가동시간 제약을 고려한 심층 강화학습 기반의 다중 냉동기 운영 모델)

  • Jongeun Kim;Khanho Kim;Jae-Gon Kim
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.153-168
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    • 2024
  • In summer, as chillers are considered the main energy consumer of building, the efficient chiller operation is considered important. However, it is difficult to operate chillers to meet the cooling demand of the building as the demand fluctuates with various factors like the internal, external environment and behavior of the occupants and as chiller's constraint cause the current operation constrains operation in future. To address these problems, this study proposes a multi-chiller operation model based on deep reinforcement learning considering the minimum up-time of the chiller. The proposed model learns the value of the chiller operations according to the state composed of metrological and cooling system information and determines operation that minimizes the difference between the supply load and the cooling demand among feasible operations. The practical applicability was improved by applying the training algorithm considering the minimum up-time constraint and Experiments results using the actual data from a Korean university confirmed that the proposed model complies with the chiller constraints and outperforms the existing chiller operation logic of the university in terms of differences from the building cooling demand.

Case Study on the Application and Evaluation of an Integrated Medical Service Model to Improve the Quality of Life for Breast Cancer Patients and Caregivers (유방암 환자와 보호자의 삶의 질 증진을 위한 통합의료서비스모델 적용평가 사례 연구)

  • Moon Joo Cheong;Do-Eun Lee;Un Jong Choi;Han Baek Cho;Hyung Won Kang
    • Journal of The Korean Society of Integrative Medicine
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    • v.12 no.3
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    • pp.163-178
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    • 2024
  • Purpose : This study aimed to evaluate the effectiveness of an integrative medical service model applied to breast cancer patients and their caregivers, exploring its feasibility and challenges within the context of South Korean healthcare system. Methods : A case study approach was chosen to assess the integrative medical service model's efficacy, involving one breast cancer patient and her primary caregiver from W University Hospital. The patient had completed reconstructive surgery and chemotherapy and was undergoing radiotherapy. The model included standard treatments alongside psychological counseling, aromatherapy, axillary rehabilitation exercise, make-up program, art therapy, laughter therapy, horticultural therapy, and yoga programs, and meditation programs delivered over eight weeks. Quantitative and qualitative data were collected through surveys, psychological tests, and feedback assessments. Results : The integrative medical service model demonstrated notable improvements in the quality of life for both breast cancer patients and their caregivers. Participants reported enhanced emotional well-being, reduced stress levels, and improved coping mechanisms throughout the treatment journey. Qualitative feedback highlighted the positive impact of holistic interventions in alleviating psychological distress and fostering resilience. Quantitative data corroborated these findings, showing statistically significant improvements in various psychosocial parameters assessed. Conclusions : Our findings underscore the benefits of integrative medical service model with standard medical treatments in the care of breast cancer patients and their caregivers. The holistic approach not only addresses physical symptoms but also enhances overall well-being and quality of life. However, the implementation of such models faces challenges within the South Korean healthcare system, including fragmented service networks and financial constraints. Addressing these structural barriers is crucial for the widespread adoption and sustainability of integrative care models in oncology practice. Future research should focus on larger-scale studies to further validate these findings and inform policy decisions aimed at optimizing cancer care delivery.

A Study on Developing a Web Care Model for Audiobook Platforms Using Machine Learning (머신러닝을 이용한 오디오북 플랫폼 기반의 웹케어 모형 구축에 관한 연구)

  • Dahoon Jeong;Minhyuk Lee;Taewon Lee
    • Information Systems Review
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    • v.26 no.1
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    • pp.337-353
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    • 2024
  • The purpose of this study is to investigate the relationship between consumer reviews and managerial responses, aiming to explore the necessity of webcare for efficiently managing consumer reviews. We intend to propose a methodology for effective webcare and to construct a webcare model using machine learning techniques based on an audiobook platform. In this study, we selected four audiobook platforms and conducted data collection and preprocessing for consumer reviews and managerial responses. We utilized techniques such as topic modeling, topic inconsistency analysis, and DBSCAN, along with various machine learning methods for analysis. The experimental results yielded significant findings in clustering managerial responses and predicting responses to consumer reviews, proposing an efficient methodology considering resource constraints and costs. This research provides academic insights by constructing a webcare model through machine learning techniques and practical implications by suggesting an efficient methodology, considering the limited resources and personnel of companies. The proposed webcare model in this study can be utilized as strategic foundational data for consumer engagement and providing useful information, offering both personalized responses and standardized managerial responses.

Study on the shielding performance of bismuth oxide as a spent fuel dry storage container based on Monte Carlo simulation

  • Guo-Qiang Zeng;Shuang Qi;Peng Cheng;Sheng Lv;Fei Li;Xiao-Bo Wang;Bing-Hai Li;Qing-Ao Qin
    • Nuclear Engineering and Technology
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    • v.56 no.8
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    • pp.3307-3314
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    • 2024
  • For traditional spent fuel shielding materials, due to physical and chemical defects and cost constraints, they have been unable to meet the needs. Therefore, this paper carries out the first discussion on the application and performance of bismuth in neutron shielding by establishing Monte Carlo simulation on the neutron flux model of shielded spent fuel. Firstly, functional fillers such as bismuth oxide, lead oxide, boron oxide, gadolinium oxide and tungsten oxide are added to the matrices to compare the shielding rates of aluminum alloy matrix and silicone rubber matrix. The shielding rate of silicone rubber mixture is higher than aluminum alloy mixture, reaching more than 56%. The optimal addition proportion of bismuth oxide and lead oxide is 30%, and the neutron radiation protection efficiency reaches 60%. Then, the mass attenuation coefficients of bismuth oxide, lead oxide, boron oxide, gadolinium oxide and tungsten oxide in silicone rubber matrix are simulated with the change of functional fillers proportion and neutron energy. This simulation result shows that the mixture with functional fillers has good shielding performance for low energy neutrons, but poor shielding effect for high energy neutrons. Finally, in order to further evaluate the possibility of replacing lead oxide with bismuth oxide as shielding material, the half-value layers and various properties of bismuth oxide and lead oxide are compared. The results show that the shielding properties of bismuth oxide and lead oxide are basically the same, and the mechanical properties, heat resistance, radiation resistance and environmental protection of bismuth oxide are better than that of lead oxide. Therefore, in the case of neutron source strengths in the range of 0.01-6 MeV and secondary gamma rays produced below 2.5 MeV, bismuth can replace lead in neutron shielding applications.

The Development and Originality of Wind Chimes of the Goryeo Dynasty (고려시대 풍탁(風鐸)의 전개와 독창성)

  • Lee, Young-sun
    • Korean Journal of Heritage: History & Science
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    • v.52 no.2
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    • pp.292-307
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    • 2019
  • Buddhists have always tended to adorn and embellish Buddhist statues and their surrounding spaces in order to exhibit the grandeur and sublime nature of the Buddha. The various kinds of splendid instruments and implements used in such ornamentation are collectively called jangeomgu in Korean. Thus, the term jangeomgu encompasses articles used to decorate Buddhist statues, halos, and baldachin, as well as Buddhist banners and wind chimes, which are generally hung outside a building. Wind chimes are still widely used at Buddhist temples. In China, judging from various structures such as the Wooden Stupa of Yongningsi in Luoyang and the Dunhuang Caves, wind chimes began to be used around the sixth century. As for Korea, Buddhism was first introduced from China during the Three Kingdoms Period, and Koreans accordingly began to build Buddhist temples and buildings. It would appear that wind chimes came to be used around the time that the first temples were built. The oldest extant wind chime in Korea is the gilt-bronze wind chime of Baekje, discovered at the Mireuksa Temple Site in Iksan. In general, Korean wind chimes dating from the Three Kingdoms Period are classified into two general types according to their shape and elevation, i.e., those shaped like a Buddhist bell and those shaped like a trapezoid. As these two forms of wind chimes have influenced each other over time, those made during the Goryeo dynasty, having inherited the style, structure, and design of the preceding period, display such features. At the same time, the artisans who produced wind chimes pursued technical development and adopted free, yet not extravagant, designs. In particular, Goryeo wind chimes are characterized by original designs created through exchanges with other Buddhist art forms of the same period, such as the embossed lotus design band of Goryeo bells; the bullmun design, which served to display the grandeur of the royal family; the samhwanmun design, which consisted of decorating the interior of a Goryeo incense burner with three holes; Sanskrit designs; and designs inspired by the windows and doors of stone pagodas. In this way, the production of Goryeo wind chimes developed with a focus on purpose while being free of formal constraints. This study started out from the fact that the largest number of Korean wind chimes were produced during the Goryeo dynasty. Therefore, research on wind chimes should be based on those of the Goryeo dynasty, especially since fewer relevant studies have been conducted compared to studies on other forms of Buddhist art. For the purposes of this study, the reasons for the production of wind chimes will be examined first, followed by an examination of the various styles of Korean wind chimes. Then, based on the findings of this investigation, the development and characteristics of the wind chimes produced during the Goryeo dynasty will be explored for each period.

Estimation of Near Surface Air Temperature Using MODIS Land Surface Temperature Data and Geostatistics (MODIS 지표면 온도 자료와 지구통계기법을 이용한 지상 기온 추정)

  • Shin, HyuSeok;Chang, Eunmi;Hong, Sungwook
    • Spatial Information Research
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    • v.22 no.1
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    • pp.55-63
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    • 2014
  • Near surface air temperature data which are one of the essential factors in hydrology, meteorology and climatology, have drawn a substantial amount of attention from various academic domains and societies. Meteorological observations, however, have high spatio-temporal constraints with the limits in the number and distribution over the earth surface. To overcome such limits, many studies have sought to estimate the near surface air temperature from satellite image data at a regional or continental scale with simple regression methods. Alternatively, we applied various Kriging methods such as ordinary Kriging, universal Kriging, Cokriging, Regression Kriging in search of an optimal estimation method based on near surface air temperature data observed from automatic weather stations (AWS) in South Korea throughout 2010 (365 days) and MODIS land surface temperature (LST) data (MOD11A1, 365 images). Due to high spatial heterogeneity, auxiliary data have been also analyzed such as land cover, DEM (digital elevation model) to consider factors that can affect near surface air temperature. Prior to the main estimation, we calculated root mean square error (RMSE) of temperature differences from the 365-days LST and AWS data by season and landcover. The results show that the coefficient of variation (CV) of RMSE by season is 0.86, but the equivalent value of CV by landcover is 0.00746. Seasonal differences between LST and AWS data were greater than that those by landcover. Seasonal RMSE was the lowest in winter (3.72). The results from a linear regression analysis for examining the relationship among AWS, LST, and auxiliary data show that the coefficient of determination was the highest in winter (0.818) but the lowest in summer (0.078), thereby indicating a significant level of seasonal variation. Based on these results, we utilized a variety of Kriging techniques to estimate the surface temperature. The results of cross-validation in each Kriging model show that the measure of model accuracy was 1.71, 1.71, 1.848, and 1.630 for universal Kriging, ordinary Kriging, cokriging, and regression Kriging, respectively. The estimates from regression Kriging thus proved to be the most accurate among the Kriging methods compared.