• 대한통합의학회지
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• 제12권2호
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• pp.1-10
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• 2024

Purpose : Sarcopenic obesity is associated with adverse health consequences in females. Nevertheless, there has been limited research on the hazardous components and prevailing rates of sarcopenic obesity among younger women. This study aimed to identify the hazardous components and prevailing rates of sarcopenic obesity in younger females. Methods : This study utilized data based on 2008~2011 from the Korea National Health and Nutrition Examination Surveys by the centers for disease control and prevention. The analysis was concentrated on a subset of 1,520 women aged between 30 and 39 years of age. The participants answered a questionnaire to gather demographic information. They then underwent a physical examination to measure the human detention variables, which was conducted utilizing bioelectrical impedance analysis. The blood pressure and blood laboratory tests were determined using established laboratory protocols for evaluating blood parameters. Results : This study included 1,520 patients aged 30~39 years old. The mean age of the participants was 34.97 (years)±2.74 and the overall prevailing rate was 1.84 %. The hazard components in human dimensions were the height, weight, body mass index (BMI), waist circumference (WC) and skeletal muscle mass index (SMI). The hazard components in biochemical and blood pressure were high fasting glucose, increased triglyceride, elevated total cholesterol, high systolic blood pressure, and increased diastolic blood pressure with p-values <.05. Conclusion : This study examined the hazardous components and prevailing rates of sarcopenic obesity in younger women living in the community. The results contribute to the current body of knowledge on sarcopenic obesity and shed light on possible hazardous components in a younger female population. Based on these findings, there should be increased health and medical attention towards the prevention, management, and health promotion related to reducing risk factors for sarcopenic obesity in younger women.

• Journal of Yeungnam Medical Science
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• 제41권1호
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• pp.45-47
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• 2024

Peripheral nerves may be affected or injured for several reasons. Peripheral nerve damage can result from trauma, surgery, anatomical abnormalities, entrapment, systemic diseases, or iatrogenic injuries. Trauma and iatrogenic injuries are the most common causes. The ulnar, median, and radial nerves are the most injured nerves in the upper extremities, while the sciatic and peroneal nerves are the most injured nerves in the lower extremities. The clinical symptoms of peripheral nerve damage include pain, weakness, numbness/ tingling, and paresthesia. Therefore, early diagnosis and appropriate treatment of peripheral nerve injuries are crucial. If a peripheral nerve injury is left untreated, it can lead to severe complications and significant morbidity. The sciatic nerve is one of the most affected nerves. This nerve is generally injured by trauma and iatrogenic causes. Children are more susceptible to trauma than adults. Therefore, sciatic nerve injuries are observed in pediatric patients. When the sciatic nerve is damaged, pain, weakness, sensory loss, and gait disturbances can occur. Therefore, the diagnosis and treatment of sciatic nerve injuries are important to avoid unexpected consequences. Ultrasound can play an important role in the diagnosis of peripheral nerve injury and the follow-up of patients. The aim of this case report is twofold. First, we aimed to emphasize the critical role of ultrasonographic evaluation in the diagnosis of peripheral nerve injuries and pathologies. Second, we aimed to present this case, which has distinguishing features, such as the existence of periostitis ossificans progressiva with sciatic neurotmesis due to a traumatic glass injury.

• 경영정보학연구
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• 제21권2호
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• pp.91-115
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• 2019

모바일 어플리케이션 시장에서 업데이트는 (i) 어플리케이션의 가시성을 높이거나, (ii) 기존 사용자들의 충성도를 높이고 가치를 제고하거나, (iii) 기능 추가를 통해 시장을 확대하는 등 다양한 목적을 위한 전략적 마케팅 도구로 활용되고 있다. 많은 연구와 사례들은 이러한 업데이트가 모바일 어플리케이션 시장에서 생존하기 위해 중요하다는 점을 강조하고 있다. 그러나, 일부 다른 사례들은 업데이트가 오히려 사용자들의 반발과 이탈을 불러오기도 한다는 것을 보여주었다. 본 연구는 모바일 어플리케이션의 실제 사용량 데이터를 통해 어플리케이션의 이용 목적과 시장경쟁 환경에 따라 업데이트가 사용자들의 어플리케이션 이용패턴에 사용자수 측면에서, 이용빈도수 측면에서, 그리고 이용시간 측면에서 어떠한 영향을 주는지를 분석하였다.

• 한국안전학회지
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• 제39권2호
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• pp.75-86
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• 2024

Hydrogen has been selected as one of the key technologies for reducing CO₂ emissions to achieve carbon neutrality by 2050. However, hydrogen safety issues should be fully guaranteed before the commercial and widespread utilization of hydrogen. Here, a bow-tie risk assessment is conducted for the hydrogen fuel supply system in a gas turbine power plant, which can be a mass consumption application of hydrogen. The bow-tie program is utilized for a qualitative risk assessment, allowing the analysis of the causes and consequences according to the stages of accidents. This study proposed an advanced bow-tie method, which includes the barrier criticality matrix and visualized maps of quantitative risk reduction. It is based on evaluating the importance of numerous barriers for the extent of their impact. In addition, it emphasizes the prioritization and concentrated management of high-importance barriers. The radar chart of a bow tie allows the visual comparison of risk levels before/after the application of barriers (safety measures). The risk reduction methods are semi-quantitatively analyzed utilizing the criticality matrix and radar chart, and risk factors from multiple aspects are derived. For establishing a secure hydrogen fuel storage system, the improvements suggested by the bow-tie risk assessment results, such as 'Ergonomic equipment design to prevent human error' and 'Emergency shutdown system,' will enhance the safety level. It attempts to contribute to the development and enhancement of an efficient safety management system by suggesting a method of calculating the importance of barriers based on the bow-tie risk assessment.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.26.1-26.15
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• 2023

Background: The objective of this study is to investigate the differences in incidence rates of targeted diseases by classification of occupations among construction workers in Korea. Methods: In a subject-based cohort of the Korean Construction Worker's Cohort, we surveyed a total of 1,027 construction workers. As occupational exposure, the classification of occupations was developed using two axes: construction business and job type. To analyze disease incidence, we linked survey data with National Health Insurance Service data. Eleven target disease categories with high prevalence or estimated work-relatedness among construction workers were evaluated in our study. The average incidence rates were calculated as cases per 1,000 person-years (PY). Results: Injury, poisoning, and certain other consequences of external causes had the highest incidence rate of 344.08 per 1,000 PY, followed by disease of the musculoskeletal system and connective tissue for 208.64 and diseases of the skin and subcutaneous tissue for 197.87 in our cohort. We especially found that chronic obstructive pulmonary disease was more common in construction painters, civil engineering welders, and civil engineering frame mold carpenters, asthma in construction painters, landscape, and construction water proofers, interstitial lung diseases in construction water proofers. Conclusions: This is the first study to systematically classify complex construction occupations in order to analyze occupational diseases in Korean construction workers. There were differences in disease incidences among construction workers based on the classification of occupations. It is necessary to develop customized occupational safety and health policies for high-risk occupations for each disease in the construction industry.

• Pediatric Infection and Vaccine
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• 제30권3호
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• pp.165-172
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• 2023

건강한 소아에서 화농성 간농양은 선진국에서는 드문 질환이지만 진단과 치료가 늦어진다면 치명적일 수 있는 질환이다. 전세계적으로 화농성 간농양의 가장 흔한 원인균은 Staphylococcus aureus이며 국내의 경우 Klebsiella pneumoniae가 가장 흔하지만, 혐기균에 의한 화농성 간농양도 매우 드물게 보고되고 있다. 발열과 우상복부 통증을 주소로 응급실에 온 14세 남아가 우상복부 압통을 보이고 백혈구 상승, 빈혈, 간효소치 상승을 보여 조영증강 복부컴퓨터단층촬영을 시행한 결과 간농양을 진단하였다. 환자는 2주간의 경피적 도관 배액술과 4주간의 항생제 치료 후 완쾌되었다. 간농양 배양검사에서 혐기균이자 구강 상재균인 Prevotella intermedia가 확인되었으나 감염의 근원이 치아조직 감염이라는 증거를 찾지는 못하였다. 본 증례와 같이 건강한 소아에서도 화농성 간농양이 발생할 수 있음을 염두에 두고 진단적 접근을 하는 것이 바람직하겠다.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.101-106
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• 2023

Chronic illnesses are among the most common serious problems affecting human health. Early diagnosis of chronic diseases can assist to avoid or mitigate their consequences, potentially decreasing mortality rates. Using machine learning algorithms to identify risk factors is an exciting strategy. The issue with existing feature selection approaches is that each method provides a distinct set of properties that affect model correctness, and present methods cannot perform well on huge multidimensional datasets. We would like to introduce a novel model that contains a feature selection approach that selects optimal characteristics from big multidimensional data sets to provide reliable predictions of chronic illnesses without sacrificing data uniqueness.[1] To ensure the success of our proposed model, we employed balanced classes by employing hybrid balanced class sampling methods on the original dataset, as well as methods for data pre-processing and data transformation, to provide credible data for the training model. We ran and assessed our model on datasets with binary and multivalued classifications. We have used multiple datasets (Parkinson, arrythmia, breast cancer, kidney, diabetes). Suitable features are selected by using the Hybrid feature model consists of Lassocv, decision tree, random forest, gradient boosting,Adaboost, stochastic gradient descent and done voting of attributes which are common output from these methods.Accuracy of original dataset before applying framework is recorded and evaluated against reduced data set of attributes accuracy. The results are shown separately to provide comparisons. Based on the result analysis, we can conclude that our proposed model produced the highest accuracy on multi valued class datasets than on binary class attributes.[1]

• 한국군사과학기술학회지
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• 제27권1호
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• pp.43-50
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• 2024

Large planar military antenna boasts a range of electrical components, including TRA(Transmit-Receive Assembly), signal processors, etc. which engage in computations and calculations. These processes generate a significant amount of heat, leading to unforeseen consequences for the equipment. To mitigate these adverse effects, it's imperative to implement a cooling system that can effectively reduce heat-related issues. Given the antenna's intricate nature and the multitude of components it houses, a two-step estimation process is necessary. The first step involves a comprehensive model calculation to determine the total flow characteristics, while the second step entails a thermal analysis of individual TRA set. In this study, we depicted an antenna set using simplified 3D models of its components, considering their material and thermal properties. The sequential analysis process facilitated the calculation of branched flow rates, providing insights into the individual TRA. This approach also allowed us to design a cooling system for the TRA set, assessing its thermal stability in high-temperature environments. To ensure the optimal performance of TRA, breaking down the analysis into stages based on the cooling system's structure can assist operators in predicting numerical results more effectively.

• Geomechanics and Engineering
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• 제36권5호
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• pp.489-509
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• 2024

Slope stability analysis and prediction are of critical importance to geotechnical engineers, given the severe consequences associated with slope failure. This research endeavors to forecast the factor of safety (FOS) for slopes through the implementation of six distinct ML techniques, including back propagation neural networks (BPNN), feed-forward neural networks (FFNN), Takagi-Sugeno fuzzy system (TSF), gene expression programming (GEP), and least-square support vector machine (Ls-SVM). 344 slope cases were analyzed, incorporating a variety of geometric and shear strength parameters measured through the PLAXIS software alongside several loss functions to assess the models' performance. The findings demonstrated that all models produced satisfactory results, with BPNN and GEP models proving to be the most precise, achieving an R² of 0.86 each and MAE and MAPE rates of 0.00012 and 0.00002 and 0.005 and 0.004, respectively. A Pearson correlation and residuals statistical analysis were carried out to examine the importance of each factor in the prediction, revealing that all considered geomechanical features are significantly relevant to slope stability. However, the parameters of friction angle and slope height were found to be the most and least significant, respectively. In addition, to aid in the FOS computation for engineering challenges, a graphical user interface (GUI) for the ML-based techniques was created.

• 한국발생생물학회지:발생과생식
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• 제27권4호
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• pp.205-211
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• 2023

INTS14/VWA9, a component of the integrator complex subunits, plays a pivotal role in regulating the fate of numerous nascent RNAs transcribed by RNA polymerase II, particularly in the biogenesis of small nuclear RNAs and enhancer RNAs. Despite its significance, a comprehensive mutation model for developmental research has been lacking. To address this gap, we aimed to investigate the expression patterns of INTS14 during zebrafish embryonic development. We generated ints14 mutant strains using the CRISPR/Cas9 system. We validated the gRNA activity by co-injecting Cas9 protein and a single guide RNA into fertilized zebrafish eggs, subsequently confirming the presence of a 6- or 9-bp deletion in the ints14 gene. In addition, we examined the two mutant alleles through PCR analysis, T7E1 assay, TA-cloning, and sequencing. For the first time, we used the CRISPR/Cas9 system to create a model in which some sequences of the ints14 gene were removed. This breakthrough opens new avenues for in-depth exploration of the role of ints14 in animal diseases. The mutant strains generated in this study can provide a valuable resource for further investigations into the specific consequences of ints14 gene deletion during zebrafish development. This research establishes a foundation for future studies exploring the molecular mechanisms underlying the functions of ints14, its interactions with other genes or proteins, and its broader implications for biological processes.