• Korean Journal of Social Welfare Studies
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• v.42 no.1
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• pp.433-461
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• 2011

This study investigated changes and determinants of public pension generosity and pension spending in welfare states during the last retrenchment period. Path-dependency thesis, industrialization theory and power resources model were examined with the twelve welfare states from 1980 to 2007. The main results are as follows. First, the developments of benefit generosity and pension spending have been differently presented according to pension structure. Second, the cross-national pooled-time series analysis confirmed that pension structure is the most significant factors to determine the level of benefit generosity and pension spending. Third, the positive effect of population ageing on pension spendings were proved even without any changes of pension generosity. New social risks, however, have restrained the pension spending. Fourth, the power of the left party and labor union did not affect the pension policy, which implies that power resources theory cannot explain the development of pension policy in this retrenchment period.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.87-95
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• 2020

Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.4
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• pp.381-394
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• 2023

Purpose: This study aimed to develop an intentional rounding protocol to enhance the clinical competence of nursing students. Methods: An intentional rounding protocol for nursing students' clinical practice was developed following the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. A convenient sampling method was used to select 23 junior year university nursing students during their clinical practice in adult nursing. The program evaluation included a quantitative assessment (communication and relationship efficacy, empathy, and patient safety competency) and focus group interviews. Results: The intentional rounding protocol focused on the 4Ps (pain, position, potty, and possessions) and encompassed aspects such as level of consciousness, pain management, personal care needs, intravenous injection, oxygen administration, nasogastric/nasoenteric tube care, maintenance of urine collection bags, and the identification of environmental fall risks. Nursing students performed intentional rounding at least twice a day. Following the implementation of this protocol, nursing students demonstrated a significant improvement in communication and interpersonal efficacy. The focus group interviews revealed four main themes: growth of human relationships, acquiring knowledge in and about the clinical field, becoming a nurse, and barriers in reality. Conclusion: The intentional rounding protocol has the potential to enhance nursing students' communication and interpersonal skills during clinical practice and to provide them with positive experiences in nursing clinical education. Therefore, it is recommended that this protocol be incorporated into nursing clinical practice education.

• Korea Trade Review
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• v.47 no.4
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• pp.215-231
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• 2022

Analysis and forecasting of the Baltic Capsize Index (BCI) is important for managing an entity's losses and risks from the uncertainty and volatility of the fast-changing maritime transport market in the future. This study conducted volatility transition analysis through the GARCH model, using BCI which is highly related to steel raw materials. As for the data, 2,385 monthly data were used from March 1999 to March 2021. In this study, after basic statistical analysis, unit root and cointegration test, the GARCH, EGARCH, and DCC-GARCH models were used for volatility transition analysis. As the results of GARCH and EGARCH model, we confirmed that all variables had no autocorrelation between the standardized residuals for error terms and the square of residuals, that the variability of all variables at this time was likely to persist in the future, and that the variability of the time-series error term impact according to Iron ore trade (IoT). In addition, through the EGARCH model, the magnitude convenience of all variables except the Iron ore price (IOP) and Capesize bulk fleet (BCF) variables was greater than the positive value (+). As a result of analyzing the DCC-GARCH (1,1) model, partial linear combinations were confirmed over the entire period. Estimating the effect of variability transition on BCF and C5 with statistically significant linear combinations with BCI confirmed that the impact of BCF on BCI was greater than the impact of BCI itself.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.863-898
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• 2023

Previous studies have shown that insiders pose risks to the security of organisations' secret information. Information security policy (ISP) intentional violation can jeopardise organisations. For years, ISP violations persist despite organisations' best attempts to tackle the problem through security, education, training and awareness (SETA) programs and technology solutions. Stopping hacking attempts e.g., phishing relies on personnel's behaviour. Therefore, it is crucial to consider employee behaviour when designing strategies to protect sensitive data. In this case, organisations should also focus on improving employee behaviour on security and creating positive security perceptions. This paper investigates the role of psychological capital (PsyCap), punishment and organisational security resources in influencing employee behaviour and ultimately reducing ISP violations. The model of the proposed study has been modified to investigate the connection between self-efficacy, resilience, optimism, hope, perceived sanction severity, perceived sanction certainty, security response effectiveness, security competence and ISP violation. The sample of the study includes 364 bank employees in Jordan who participated in a survey using a self-administered questionnaire. The findings show that the proposed approach acquired an acceptable fit with the data and 17 of 25 hypotheses were confirmed to be correct. Furthermore, the variables self-efficacy, resilience, security response efficacy, and protection motivation directly influence ISP violations, while perceived sanction severity and optimism indirectly influence ISP violations through protection motivation. Additionally, hope, perceived sanction certainty, and security skills have no effect on ISP infractions that are statistically significant. Finally, self-efficacy, resiliency, optimism, hope, perceived severity of sanctions, perceived certainty of sanctions, perceived effectiveness of security responses, and security competence have a substantial influence on protection motivation.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.27 no.2
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• pp.195-200
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• 2023

Backgrounds/Aims: We aimed to build a machine learning tool to help predict low-grade intraductal papillary mucinous neoplasms (IPMNs) in order to avoid unnecessary surgical resection. IPMNs are precursors to pancreatic cancer. Surgical resection remains the only recognized treatment for IPMNs yet carries some risks of morbidity and potential mortality. Existing clinical guidelines are imperfect in distinguishing low-risk cysts from high-risk cysts that warrant resection. Methods: We built a linear support vector machine (SVM) learning model using a prospectively maintained surgical database of patients with resected IPMNs. Input variables included 18 demographic, clinical, and imaging characteristics. The outcome variable was the presence of low-grade or high-grade IPMN based on post-operative pathology results. Data were divided into a training/validation set and a testing set at a ratio of 4:1. Receiver operating characteristics analysis was used to assess classification performance. Results: A total of 575 patients with resected IPMNs were identified. Of them, 53.4% had low-grade disease on final pathology. After classifier training and testing, a linear SVM-based model (IPMN-LEARN) was applied on the validation set. It achieved an accuracy of 77.4%, with a positive predictive value of 83%, a specificity of 72%, and a sensitivity of 83% in predicting low-grade disease in patients with IPMN. The model predicted low-grade lesions with an area under the curve of 0.82. Conclusions: A linear SVM learning model can identify low-grade IPMNs with good sensitivity and specificity. It may be used as a complement to existing guidelines to identify patients who could avoid unnecessary surgical resection.

• Journal of Nutrition and Health
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• v.57 no.1
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• pp.65-74
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• 2024

Purpose: Sodium is essentially required for homeostasis and physiological functions, but excessive sodium consumption increases the risk of obesity and other chronic disorders. Korean studies on the sodium-obesity relationship are limited, and thus, this study was undertaken to determine the nature of the relationship between sodium intake and obesity in Korean adults. Methods: Forty-two participants were divided into 2 groups according to body mass index (BMI, non-obese BMI < 25 kg/m², obese BMI ≥ 25 kg/m²). Dietary intakes and eating habits were analyzed using 3-day food records and a food frequency questionnaire. Anthropometric data were obtained from bioimpedance results, and fasting glucose and lipid levels were measured. Results: Mean weight, BMI, waist and hip circumferences, and body fat mass were greater in the obese group than in the non-obese group for men and women. Skeletal muscle mass and body fat mass were higher in obese women than in non-obese women. Biochemical data were no different in these two subgroups except triglycerides (TGs), which were higher in obese women. Nutrient intakes were not significantly different in obese and non-obese groups. However, obese men consumed excessive sodium, while obese women consumed slightly more than non-obese women. Obese men preferred salty foods and tended to overeat. Positive correlations were found between sodium intake and weight in men and percent body fat mass (PBFM) in women. Correlation analysis (adjusted for energy intake) of the relation between sodium intake and obesity-related factors showed sodium intake was positively correlated with PBFM and TG in women. Conclusion: This anthropometric and biochemical data analysis emphasizes the need for awareness and interventions to mitigate the health risks of elevated sodium consumption. Our findings should aid future studies on the relationship between sodium and obesity and contribute to preventing and managing this metabolic condition.

• Journal of Veterinary Science
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• v.25 no.4
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• pp.42.1-42.12
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• 2024

Importance: Bovine mastitis, predominantly associated with gram-positive Staphylococcus aureus, poses a significant threat to dairy cows, leading to a decline in milk quality and volume with substantial economic implications. Objective: This study investigated the incidence, virulence, and antibiotic resistance of S. aureus associated with mastitis in dairy cows. Methods: Fifty milk-productive cows underwent a subclinical mastitis diagnosis, and the S. aureus strains were isolated. Genomic DNA extraction, sequencing, and bioinformatic analysis were performed, supplemented by including 124 S. aureus genomes from cows with subclinical mastitis to enhance the overall analysis. Results: The results revealed a 42% prevalence of subclinical mastitis among the cows tested. Genomic analysis identified 26 sequence types (STs) for all isolates, with Mexican STs belonging primarily to CC1 and CC97. The analyzed genomes exhibited multidrug resistance to phenicol, fluoroquinolone, tetracycline, and cephalosporine, which are commonly used as the first line of treatment. Furthermore, a similar genomic virulence repertoire was observed across the genomes, encompassing the genes related to invasion, survival, pathogenesis, and iron uptake. In particular, the toxic shock syndrome toxin (tss-1) was found predominantly in the genomes isolated in this study, posing potential health risks, particularly in children. Conclusion and Relevance: These findings underscore the broad capacity for antibiotic resistance and pathogenicity by S. aureus, compromising the integrity of milk and dairy products. The study emphasizes the need to evaluate the effectiveness of antibiotics in combating S. aureus infections.

• Nuclear Engineering and Technology
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• v.56 no.6
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• pp.2220-2238
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• 2024

As a typical active equipment, pump machinery is widely used in nuclear power plants. Although the mechanism of pump machinery in nuclear power plants is similar to that of conventional pumps, the safety and reliability requirements of nuclear pumps are higher in complex operating environments. Once there is significant performance degradation or failure, it may cause huge security risks and economic losses. There are many pumps mechanical parameters, and it is very important to explore the correlation between multi-dimensional variables and condition. Therefore, a condition monitoring model based on Deep Denoising Autoencoder (DDAE) is constructed in this paper. This model not only ensures low false positive rate, but also realizes early abnormal monitoring and location. In order to alleviate the influence of parameter time-varying effect on the model in long-term monitoring, this paper combined equidistant sampling strategy and DDAE model to enhance the monitoring efficiency. By using the simulation data of reactor coolant pump and the actual centrifugal pump data, the monitoring and positioning capabilities of the proposed scheme under normal and abnormal conditions were verified. This paper has important reference significance for improving the intelligent operation and maintenance efficiency of nuclear power plants.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.195-212
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• 2012

Most of the office-workers are worrying about their future and try to make diverse future plan. Fast shifting industry pattern make office-workers retire early and their remain life time are getting longer and many of them try to consider some kind of new start-up. In this article factors affecting entrepreneurial intention were discussed such as individual factors, psychological factors, environmental factors. Individual factors were economic situations and future life expectation were analyzed. Psychological factors were composed of risk taking tendency, self efficiency, career value, and entrepreneurial characteristics were discussed. Environmental factors were composed of recognition on social-economic risks and recognition on negative mind on start-up, and employment unstability. 340 sample questionaries were collected and 26 samples were excluded. Data were analyzed by SPSS Win 18.0 Version. The results of the study were as follows. Among individual factors life-expectation after retirement was positive impact on entrepreneurial intention. Among psychological factors risk taking factor has positive impact on entrepreneurial intention. Among Environmental factors negative recognition on start-up has negative impact on entrepreneurial intention. Based on the studies diverse understanding and implementation of policies were necessary to change negative social atmospheres on start-up.