• Proceedings of the Korean Society of Applied Pharmacology
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• 1997.11a
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• pp.27-33
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• 1997

• Safe Food
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• v.6 no.2
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• pp.28-33
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• 2011

• Safe Food
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• v.6 no.4
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• pp.17-22
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• 2011

• Safe Food
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• v.9 no.1
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• pp.34-39
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• 2014

• Safety and Health at Work
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• v.14 no.3
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• pp.272-278
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• 2023

Background: Some working conditions may pose a higher physical or psychological demand to pregnant women leading to increased risks of pregnancy complications. Objectives: We assessed the association of woman's employment status and the industrial classification with obstetric complications. Methods: We conducted a national population study using the National Health Information Service database of Republic of Korea. Our analysis encompassed 1,316,310 women who experienced first-order live births in 2010-2019. We collected data on the employment status and the industrial classification of women, as well as their diagnoses of preeclampsia (PE) and gestational diabetes mellitus (GDM) classified as A1 (well controlled by diet) or A2 (requiring medication). We calculated odds ratios (aORs) of complications per employment, and each industrial classification was adjusted for individual risk factors. Results: Most (64.7%) were in employment during pregnancy. Manufacturing (16.4%) and the health and social (16.2%) work represented the most prevalent industries. The health and social work exhibited a higher risk of PE (aOR = 1.11, 95% confidence interval [CI]: 1.03-1.21), while the manufacturing industry demonstrated a higher risk of class A2 GDM (1.20, 95% CI: 1.03-1.41) than financial intermediation. When analyzing both classes of GDM, women who worked in public administration and defense/social security showed higher risk of class A1 GDM (1.04, 95% CI: 1.01, 1.07). When comparing high-risk industries with nonemployment, the health and social work showed a comparable risk of PE (1.02, 95% CI: 0.97, 1.07). Conclusion: Employment was associated with overall lower risks of obstetric complications. Health and social service work can counteract the healthy worker effect in relation to PE. This highlights the importance of further elucidating specific occupational risk factors within the high-risk industries.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.4
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• pp.515-524
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• 2009

This study was a preliminary investigation of healthy breads in the domestic bakery industry and examined conditions for consumer purchases. The analyzed data will be used for future product improvements within for the domestic bakery market. The key results were as follows: First, the subjects' choosing of healthy breads was 'Usually' (34.1%) and women were more knowledgeable about healthy breads than men. About 31.2% of the subjects responded 'Do not know well', but 98% had clear purchase intentions and showed positive acclaims for healthy breads. Second, the ranking of selection factors that subjects considered when buying healthy breads was 'curiosity>taste>safety>health>price>diet>employee representation> brand'. Women (3.89) had more sensitive reactions than men (3.47) to the 'Diet' variable, and there were statistical differences in 'Health', 'Taste', and 'Employee explanation' (p<0.05, p<0.001). Finally, highly educated considered brand more (3.87).

• Food Science of Animal Resources
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• v.38 no.1
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• pp.203-208
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• 2018

The objective of this study was to investigate the pathogenicity and antimicrobial resistance of foodborne pathogens isolated from farmstead cheeses. Twenty-seven isolates, including 18 Bacillus cereus, two Escherichia coli, and seven Staphylococcus aureus, were subjected to polymerase chain reaction (PCR) to detect virulence genes and toxin genes, and the antibiotic resistances of the isolates were determined. All E. coli isolates were determined by PCR to be non-pathogenic. Among the 18 B. cereus isolates, 17 isolates (94.4%) were diarrheal type, as indicated by the presence of nheA, entFM, hbIC, cytK and bceT genes, and one isolate (5.6%) was emetic type, based on the presence of the CER gene. Among the seven S. aureus isolates, three (42.9%) had the mecA gene, which is related to methicillin-resistance. Most B. cereus isolates (94.7%) showed antibiotic resistance to oxacillin and penicillin G, and some strains also showed resistance to ampicillin (26.3%), erythromycin (5.3%), tetracycline (10.5%), and vancomycin (5.3%). These results indicate that microbial food safety measures for farmstead cheese must be implemented in Korea because antibiotic resistant foodborne pathogens, with resistance even to vancomycin, harboring virulence genes were found to be present in the final products of farmstead cheese.

• Journal of the Korean Society of Safety
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• v.22 no.6
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• pp.81-86
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• 2007

The purpose of this study is to provide foot classification on 30 generation young men and women by factor analysis and cluster analysis. The sample for this work was chosen from data which were collected and measured by Size Korea during two years($2003{\sim}2004$). In order to analyze and compare features of the foot of men and women, analysis was performed about 871 subjects(male: 422, female: 449) on 24 body parts including height, width, thickness, circumference, length and angle. According to the result of factor analysis about measured data, there were seven factors and six factors for men and women respectively. After cluster analysis, data for men and women were commonly divided by three types for utilization of research results. Type 1 and type 3 had wide distribution about men. Type 2 had wide distribution about women. The results of this study can be applied in manufacturing and design of comfortable shoes and socks.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.547-562
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• 2016

The purpose of this research was to provide the information of mandatory regulation for Korean sports facilities and the preliminary data for building sport safety management manual through sports facilities abroad and system status. Futhermore, based on the information of sports facilities safety management, this research performed the benchmarking of each country sports facilities safety management system. As a result, in the U.S, Department of Homeland Security(DHS) leads effort to achieve a safe, secure, and resilient homeland. In Germany, law & regulations, sports facilities safety guideline and expert extension have been reviewed. Germany is more realistic and practical than other countries. In Australia, Major Hazard Facilities(MHF) is responsible for eliminating the risk of a major incident. Emergency Management System(EMS) should spontaneously respond when the alarm is raised as early detection and intervention are vital to ensuring that a small incident does not escalate to become a major disaster.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.