- E-ISSN2586-6036
- KCI
E-ISSN : 2586-6036
Vol.8 No.6
Abstract
Purpose: To provide the first quantitative baseline on the winter population status, age–sex structure and spatial distribution of Himalayan ibex in the Community Controlled Hunting Area of Immit Valley, Ghizer district, and to assess implications for community-based trophy hunting and conservation. Research design, data and methodology: A late-winter ground survey was conducted using a double-observer design at nine vantage points across Immit Valley. At each sighting, observers recorded herd size, sex and age class (kids/yearlings, adult females, three male age classes), location and elevation. Duplicate detections were reconciled to obtain minimum counts, and descriptive statistics were used to summarize population structure and altitudinal use. Results: A minimum of 84 ibex in nine herds was recorded, with mean group size of about nine animals (range 4–19). The population comprised roughly 46% adult females, 38% adult males and 16% kids/yearlings, with most males in medium age classes and only one trophy-age male. Nearly 40% of animals occurred in two sub-valleys, and most ibex used mid- to upper-elevation south-facing slopes. Conclusions: Findings indicate a small but demographically mixed population whose viability may be sensitive to overharvest of scarce trophy-age males and to disturbance in core winter ranges, underscoring the need for conservative, data-driven quotas and repeated monitoring.
Abstract
Purpose: This study examines the factors influencing the workplace application of periodic occupational safety and health education for supervisors, focusing on individual characteristics (self-efficacy, learning motivation, transfer motivation) and program factors (instructor competence, training environment). The research aims to identify key variables that enhance the effectiveness of mandatory supervisor education and provide practical implications for improving educational outcomes. Research Design, Data and Methodology: A survey was conducted with 310 supervisors across various industries in Korea who completed periodic occupational safety and health education. The study utilized a structured questionnaire based on validated measurement tools from previous research. Data analysis was performed using SPSS 24.0, employing descriptive statistics, factor analysis, reliability tests, correlation analysis, and multiple regression analysis. Results: The workplace application level of supervisor education was relatively high (M=4.12). Multiple regression analysis revealed that transfer motivation (β=.381, p<.001), instructor competence (β=.260, p<.001), and training environment (β=.190, p<.01) significantly predicted workplace application, explaining 54% of the variance (R²=.543). However, self-efficacy and learning motivation did not show significant effects on workplace application. Conclusions: The study confirms that enhancing transfer motivation, ensuring instructor quality, and improving training environments are essential for maximizing the effectiveness of supervisor education. The findings suggest that educational programs should prioritize practical applicability and create motivational learning environments to improve workplace transfer of safety knowledge and skills.
Abstract
Purpose: This study examined the major risk factors for heat-related illnesses in high-temperature work environments within domestic steel mills and evaluated the effectiveness of current preventive measures. A descriptive analytical approach was used, combining literature review, reported accident cases, and comparison with international guidelines such as ISO 7243 and OSHA heat-stress standards. The analysis showed that heat-related illnesses are influenced by multiple factors, including high WBGT levels, strong radiant heat from furnaces, inadequate acclimatization, limited access to shade or cooling facilities, and the thermal burden caused by personal protective equipment. Quantitative indicators—including heat illness incidence, self-reported symptoms, rest-time compliance, hydration behavior, and WBGT–symptom correlation—were used to assess preventive measures. Results indicated that the “water–shade–rest” protocol and improved rest environments helped reduce symptoms, although effectiveness remained limited under high work intensity, insufficient acclimatization, and differences in job tasks. Key implications include the need to reinforce heat acclimatization programs, expand cooling and shaded rest areas, establish standardized rest schedules based on WBGT levels, and strengthen employer and worker awareness. This study is limited by its reliance on literature and case-based data; future research should incorporate real-time exposure measurements and worker-level physiological indicators to develop more tailored heat-stress management strategies.
Abstract
Purpose: The Korean construction industry accounts for about 40% of all industrial accidents, of which more than half of them are high-level accidents such as falls and falls (Ministry of Employment and Labor, 2024). Over the past decade, domestic construction sites have continued to develop high-rise and large-scale complexes, increasing the frequency and risk of high-rise work. High-risk accidents, including falls and falls, are repeated every year as the number of high-level sites such as high-rise apartment houses with 30 stories or more, super-large bridges, and underground complex spaces increases. In particular, a crash is highly likely to lead to death once it occurs, so it is pointed out as the most important area to manage in the field of occupational safety and health. The Occupational Safety and Health Act introduced a risk assessment system in 2008, requiring employers to identify and improve harmful and risk factors for each process in advance. Subsequently, the Serious Accident Punishment Act, which took effect in 2022, stipulated that management managers must establish and implement a safety and health management system and prove the results. However, in real-world settings, risk assessment often remains a formality of paperwork and does not lead to substantial risk elimination and improvement. This study aims to analyze the current status and problems of risk assessment, focusing on the domestic construction industry complaint work, and to suggest various improvement measures to strengthen execution power. 1) The purpose of the study: This study analyzes the problems of the current system and suggests improvement measures in terms of systems, fields, education, and technology to enhance the execution power of the risk assessment of high work. 2) Research design and methodology: Occupational Safety and Health Act and KOSHA Guide data, accident statistics from the Ministry of Employment and Labor over the past five years, and previous studies were analyzed, focusing on domestic construction site complaints. 3) Key Results: The Occupational Safety and Health Act introduced a risk assessment system in 2008 requiring employers to identify and improve harmful and risk factors for each process in advance, and the Serious Accident Punishment Act, which took effect in 2022, stipulates that management managers must establish and implement a safety and health management system and prove the results. 4) Key conclusions: In addition to legal enforcement, practical participation in the field, transparent disclosure of evaluation results, and real-time monitoring using the latest technology should be accompanied. This study aims to analyze the current status and problems of risk assessment, focusing on the domestic construction industry complaint work, and to suggest various improvement measures to strengthen execution power.
Abstract
Purpose: The purpose of this study was to analyze research trends related to core nursing skills in Korean nursing education through text network analysis. A total of 82 academic papers published between 2012 and 2024 were collected from major Korean academic databases and analyzed to identify the primary research themes, knowledge structures, and temporal changes in research topics. Research design, data and methodology: The study applied a text network analysis method that included data preprocessing, frequency and topic modeling analyses, and network visualization. Results: The abstract should be unstructured, that is, one paragraph. The analysis revealed that research on core nursing skills has evolved from an emphasis on basic procedural education and clinical practice to an integration of simulation-based learning, digital technology, and self-directed learning. Keywords such as “nursing students,” “core nursing skills,” “confidence,” and “clinical competence” were found to be central within the network, indicating a close relationship between nursing education and competency enhancement. The findings suggest that core nursing skills education has transitioned toward multidimensional approaches that incorporate digital learning environments and learner-centered pedagogies. Conclusions: This study provides empirical insights into the structural relationships among research topics and offers a foundation for developing future educational strategies and policy directions to strengthen nursing competence in an evolving healthcare environment.
Abstract
Purpose: This study aims to investigate whether shampoo containing tea tree essential oil is effective in improving problematic scalp. Methodology: Nine adult men and women with sensitive scalp were used once a day for 28 days by mixing sensitive shampoo and tea tree essential oil in a 9:1 ratio. Areas where inflammation and erythema appeared after use of the product were regularly used by scalp experts as scalp diagnostic devices to diagnose improvement. The Likert 5-point scale was applied to the satisfaction of improving the sensitive scalp of the subjects. Results: Inflammation was the highest after the experiment, followed by erythema, scalp overall improvement, cleanliness, itching, and heat sensitivity. Among them, inflammation and erythema showed t=2.87 (p=0.021) and t=3.00 (p=0.017), respectively, confirming that tea tree essential oil significantly improved sensitive scalp condition. Conclusions: Therefore,Shampoo products with tea tree essential oils have been shown to be very effective in improving erythema and inflammation of sensitive scalp.
Abstract
Purpose: This study aims to compare the medical device classification systems and regulatory frameworks of Korea and the United States. By analyzing ten comparable device categories and adverse event reports, it examines the effectiveness and safety management levels of each country's regulatory system. Research Design, Data, and Methodology: This study conducted a comparative analysis using official regulatory and statistical data. In Korea, data were obtained from the MFDS and NIDS, while in the United States, FDA’s MAUDE database was used. Population data from Statistics Korea were applied to calculate adverse event rates per total population. Results: A comparative analysis across 10 device categories revealed that the MFDS generally assigned a risk classification 1 class higher than the FDA for generally equivalent devices. From 2020 to 2024, the number of adverse reaction reports for Korean medical devices increased slightly by 3.2% (from 8,838 to 9,122), while the United States saw a 67% increase (from 1,567,545 to 2,628,663). In 2024, the adverse reaction reporting rate in the United States was approximately 40 times that of Korea. Conclusion: Research findings indicate that Korea's Class 4 regulatory framework is stricter than the U.S. Class 3 system in terms of ensuring safety and efficacy, resulting in a significantly lower number of adverse event reports. These results suggest that Korea's medical device regulations exert a certain degree of influence on industrial reliability and patient safety. This provides meaningful implications for future policy improvements and institutional development within the medical device industry.
Abstract
Purpose: This study aims to evaluate the energy efficiency and operational optimization of a variable-speed, low-temperature heat pump drying system designed for sewage sludge treatment. The research addresses the need for experimental validation of inverter-controlled heat pump systems that can reduce Specific Energy Consumption (SEC) and emissions compared to fossil-fuel-based dryers. Research Design & Data: A pilot-scale closed-loop belt dryer equipped with an inverter-driven scroll compressor (30–200 Hz) was fabricated and tested at compressor frequencies of 130, 160, and 180 Hz. Experimental data were collected for power use, temperature, pressure, and moisture content, supplemented by external verification from the Korea Testing & Inspection Institute (KTI). Research Results: The SEC decreased from 0.580 to 0.564 kWh kg⁻¹-H₂O as frequency increased, while final moisture contents remained ≤ 10 wt %. Average energy savings reached 31.5 % compared with conventional dryers. The system maintained stable condensation (17.6–20 bar) and evaporation (5.3–6.7 bar) pressures, confirming robust thermodynamic performance. Conclusion: The results demonstrate that optimal operation occurs near 170–180 Hz, balancing energy efficiency and moisture removal. The inverter-controlled heat pump dryer offers a technically stable, zero-emission alternative for wastewater facilities, aligning with carbon-neutral and circular-economy goals, and providing a scalable foundation for future hybrid sludge–biomass drying systems.
Abstract
Purpose: Based on examples, we analyzed the effects of interactive artificial intelligence on students' learning. How ChatGPT promotes students' interest in class participation and German literature, and how to use this tool how students' critical thinking skills and information verification skills can develop by using them, and focus is on the design of effective teaching methods using ChatGPT. Research design, data and methodology: ChatGPT was used in the discussion class and task execution process combined with de-learning, The company chose to evaluate the impact of interactive artificial intelligence on learning. Results: By verifying the GPT output and suggesting a class environment that can effectively utilize it, according to the results of the survey, Improve AI literacy by improving prompts and sharing how to use them when used in the error of ChatGPT stimulates the curiosity of the student and verifies the information itself. It was possible to draw the conclusion that there is a paradoxical effect such as promoting the process of plate thinking. Conclusions: Prompt analysis of students with excellent turbulence shows that if you use ChatGPT as a discussion tool, this study suggests that crabs can provide an active learning environment. Beyond the simple provision of information, education and learning using students' critical thinking and self-directed.
Abstract
Purpose: This study proposes an engineering design model for a blockchain-enabled collaborative medical information platform that integrates patented AI imaging-diagnosis technology. Research design, data and methodology: Building upon Patent KR10-2604558, the platform incorporates a multi-layered architecture consisting of an AI diagnostic engine, a self-corrective learning loop (ADE), a PBFT-based blockchain integrity module, and an FMEA-driven risk-management framework. A synthetic dataset of 2,000 musculoskeletal ultrasound images was generated to evaluate the structural feasibility of the proposed model. The AI module, developed using a ResNet50 backbone and a four-class Softmax classifier, demonstrated stable self-correction through ADE, which autonomously identified false positives and false negatives and used them to construct a hard-case dataset for selective retraining. Results: The blockchain module—designed with ECC-256 encryption, SHA-256 hashing, and a seven-node PBFT network—successfully ensured immutability, tamper detection, and privacy preservation using Zero-Knowledge Encryption Exchange (ZKEE). FMEA analysis confirmed that risks related to AI misclassification, data integrity, consensus failure, and user input errors could be decomposed into modular risk structures, resulting in a 44.8% reduction in overall RPN.Conclusions: The findings demonstrate that the proposed design model can serve as a technically reliable architecture for AI-driven, legally robust, and privacy-preserving collaborative healthcare data platforms
Abstract
Purpose: This pilot study investigated the effects of a synesthetic visual cue-based reminiscence program on cognitive function and empathic expression in older adults residing in long-term care facilities. Methods: A total of eight sessions were conducted with an experimental group (n = 4) receiving a multisensory reminiscence intervention, and a control group (n = 4) receiving standard reminiscence activities. Pre- and post-intervention cognitive function was assessed using the Cognitive Impairment Screening Test (CIST). Empathic expression was evaluated through qualitative observation of verbal and non-verbal behaviors during sessions. Results: Compared to the control group, the experimental group demonstrated statistically significant improvements in attention, language, and executive function (p < .05). Additionally, participants in the experimental group exhibited increased frequency and intensity of empathic responses, including spontaneous sharing, facial expressions, and gestures. Conclusion: The findings suggest that a reminiscence program incorporating synesthetic visual cues may serve as an effective non-pharmacological intervention to enhance both cognitive performance and emotional engagement in institutionalized older adults. Despite the small sample size, results support the feasibility of integrating multisensory strategies into dementia care. Future studies with larger, more diverse samples are recommended to validate and expand upon these findings.
