South Korea Research Articles

Ecological integration of Vespa velutina Lepeletier, 1836 in South Korea: a comprehensive study of co-occurrence and interaction patterns with native social wasps.

The spread of Vespa velutina Lepeletier, 1836 (Asian hornet) in South Korea poses a threat to biodiversity and agriculture. Traditional species interaction models often fail to capture the complexity of invasive species dynamics. This study used association rule learning (ARL) and clustering analyses to explore the interactions of V. velutina with native Vespidae species in South Korea, with the aim of uncovering patterns of coexistence and competition. Over 4 years (2020-2023), 304 traps were strategically placed across South Korea to collect data on Vespidae species. Our findings showed that Vespula flaviceps, Vespa crabro, and Vespula koreensis were the most frequently encountered species. V. velutina was also widespread, suggesting its successful integration into local ecosystems. The ARL analysis, using the 'apriori' algorithm, identified significant co-occurrence patterns and potential interactions. The rules generated indicated both competitive and coexistent relationships with varying levels of association strength across different regions. Clustering analyses, including hierarchical and k-means clustering, grouped species based on their occurrence similarities. The distinct clusters formed in the analysis highlighted the unique ecological roles and interactions of V. velutina and other Vespidae species in South Korean ecosystems. This study confirms the successful establishment of V. velutina in diverse South Korean ecosystems and highlights its complex interactions with native species. These findings support the need for nuanced management strategies that consider the intricate ecological relationships of V. velutina. This approach is crucial for the effective management of invasive species and ecosystem conservation. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Optimizing active chilled beam systems in the South Korean Climate: Comparative analysis of cooling energy and thermal comfort by set-point temperature

In this study, the feasibility of implementing the active chilled beam system (ACBS) in South Korea has been analyzed, and an appropriate control strategy has been proposed. While ACBS is increasingly adopted in North America and Europe, its spread in South Korea has been slow due to different climatic characteristics and a lack of diverse understanding and analysis. Furthermore, research discussing the effects of key system parameters on ACBS is notably scarce. Therefore, this study aims to assess the impact of air handling unit discharge air temperature (AHU DAT) and ACBS entering chilled water temperature (ACBS ECWT) on ACBS and propose a control strategy suitable for the South Korean climate. The applicability of ACBS, compared with existing HVAC systems using this control strategy, has been evaluated. The study incorporates two methodologies: firstly, the impact of control variables has been assessed, and a suitable control strategy has been proposed through a sensitivity analysis of these variables. Secondly, the feasibility of applying ACBS, in comparison with conventional HVAC systems, has been evaluated from the perspectives of energy and thermal comfort. It has been found that system parameters, tailored for the South Korean climate, can maintain a level of thermal comfort like existing HVAC systems while achieving up to 18% in energy savings. Overall, this research not only demonstrates the potential applicability of ACBS in hot and humid climates like South Korea but also emphasizes the need for controlling key system parameters

Spatiotemporal Changes and Recovery of Benthic Macroinvertebrate Communities after the Hebei Spirit Oil Spill in the Subtidal Area around the Taean Peninsula in South Korea

Marine oil pollution is a significant environmental issue that significantly threatens ocean ecosystems. It occurs frequently and has devastating consequences for marine life, coastal habitats, and human communities. We examined the recovery of benthic macroinvertebrate communities in shallow subtidal areas following the Hebei Spirit oil spill around the Taean Peninsula, South Korea, in 2007. Benthic macroinvertebrates were collected seasonally from 15 survey sites between 2008 and 2015. Immediately after the spill in 2008, species richness and density of benthic macroinvertebrates decreased by 66.7% and 37.0%, respectively, compared to before the oil spill in 2007. Cluster analysis based on benthic macroinvertebrate communities delineated the communities from 2008 to 2009 as a distinct cluster characterized by markedly low species richness. Communities from other periods exhibited spatiotemporal variability based on the sampling location and sediment characteristics. By 2011, species richness and density had recovered to levels similar to those in 2007, which was particularly pronounced regarding the resurgence of arthropods and mollusks. Notably, populations of amphipods that are particularly sensitive to oil, such as Urothoe sp. and Byblis spp., showed signs of recovery in 2011; however, recovery of the benthic community at the site nearest to the oil spill area, was not evident until July 2013, as indicated by the benthic opportunistic polychaete amphipod index. This underscores that prolonged time periods are required for communities to fully recuperate after oil spills.

Research trends of traditional Chinese non-pharmacological therapy in the management of overweight and obesity from 2004 to 2023: a bibliometric study

ObjectiveTraditional Chinese non-pharmacological therapy has gained popularity in the management of overweight and obesity. This study aims to reveal trends and hotspots of global research on traditional Chinese non-pharmacological therapies for overweight and obesity. MethodsPublications on traditional Chinese non-pharmacological therapies for overweight and obesity between 2004 and 2023 were searched from the Web of Science Core Collection. Bibliometric analyses and visualization were performed using VOSviewer, CiteSpace, and R software. ResultsA total of 566 publications from 246 journals were included in this study. Annual number of publications and cited times in the field were generally increasing. China contributed the most publications, followed by the United States and Republic of Korea, and Chengdu University of Traditional Chinese Medicine from China had the highest number of publications among institutions. Stener-Victorin E was not only the most productive author but also, along with Cabioglu MT, the most cited authors. Evidence-Based Complementary and Alternative Medicine was both the largest source journal and the most cited journal. The highly cited references mainly consists of clinical trials, narrative reviews and systematic reviews focusing on acupuncture therapy. Keywords analysis indicated that acupuncture therapy and traditional Chinese exercise constituted the main components of traditional Chinese non-pharmacological therapy in weight management. ConclusionsThis study revealed a growing interest in traditional Chinese non-pharmacological therapies for managing overweight and obesity, with acupuncture therapies and traditional Chinese exercises as the main research focuses. This study offers insights into traditional Chinese non-pharmacological therapies in weight management, and may benefit further research.

The first report of submandibular lymph node infection with Flavobacterium ceti in a horse and its complete genome sequence.

This is the first report describing the isolation and genome sequence of Flavobacterium ceti (F. ceti IJFC025) from a draining submandibular lymph node abscess in a 6-year-old mixed-breed mare in Korea. Since F. ceti is not a usual infectious pathogen that causes equine health problems, this study presents the complete genome sequence of F. ceti isolated from a submandibular lymph node abscess sample in Jeju, South Korea, in 2022. The entire genome sequence of F. ceti IJFC025 consisted of a 3,144,426-bp chromosome with 35.6% G+C content. Gene prediction revealed that this strain possesses 2909 coding sequences (CDSs), 74 tRNAs, and five rRNAs. Average nucleotide identity analysis of the whole-genome sequence revealed 98.6%-98.8% nucleotide identity between F. ceti IJFC025 and F. ceti CECT7184, which was previously isolated from beaked whales. PathogenFinder revealed four different virulence genes in the genome that could potentially cause infections in horses. F. ceti CECT7184 contained genes encoding propionyl-CoA carboxylase, 3-oxoacid CoA-transferase A subunit, and the translation initiation factor IF-1, whereas F. ceti IJFC025 does not. Instead, F. ceti IJFC025 harbors genes encoding deoxyhypusine synthase, whereas F. ceti CECT7184 does not. Antimicrobial susceptibility tests revealed that F. ceti IJFC025 is a multidrug-resistant strain that is resistant to gentamicin, ceftazidime, nalidixic acid, ciprofloxacin, and colistin. However, no resistance genes were detected in the whole-genome sequence. Because of the similarity of the clinical signs with those of strangles, this pathogen needs to be included in the differential diagnosis of submandibular lymphadenopathy in horses.

Association between social jetlag and leisure-time physical activity and muscle strengthening exercise in young adults: findings from a nationally representative sample in South Korea

ObjectivesSocial jetlag (SJL), which is characterised by a misalignment between biological and social time, is associated with cardiometabolic risk factors. This study investigated the relationship between SJL, leisure-time physical activity (LTPA) and muscle strengthening exercise (MSE) in young adults. Study designThis was a cross-sectional study. MethodsThis cross-sectional study included a nationally representative sample of young adults aged 19–29 years (n = 2113). SJL was calculated as the difference in the midpoint of sleep onset and offset time between weekdays and weekends. The dependent variables were engagement in ≥150 min/week of moderate-to-vigorous LTPA and engagement in MSE ≥2 days/week based on guidelines provided by the World Health Organisation. Logistic regression analysis was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Non-linear relationships were estimated using restricted cubic spline regression. ResultsThe study population comprised 975 men and 1138 women. Among participants, 4.6% had <0 min, 41.9% had 0–59 min, 25.7% had 60–119 min and 27.7% had ≥120 min SJL. Those with ≥120 min SJL had a reduced likelihood of achieving the recommended level of LTPA (OR: 0.71, 95% CI: 0.52–0.95) and MSE (OR: 0.73, 95% CI: 0.55–0.97). In the non-linear model, an inverse U-shaped association was observed, wherein the highest probability of meeting the recommended level of LTPA and MSE was observed in those with 45 min SJL, decreasing after this threshold. ConclusionsIndividuals with ≥120 min SJL were less likely to engage in the recommended level of both aerobic and anaerobic exercise. Although future studies using a longitudinal design are required to elucidate the causal relationship between SJL and physical activity, the current findings suggest that physical inactivity during leisure time may play an important role in the increased risk of cardiometabolic abnormalities in young adults with SJL.

GPT-based data-driven urban building energy modeling (GPT-UBEM): Concept, methodology, and case studies

Achieving carbon neutrality is a critical global goal, with urban building energy modeling (UBEM) playing a pivotal role by providing data-driven insights to optimize energy consumption and reduce emissions. This paper introduces GPT-based urban building energy modeling (GPT-UBEM), a novel approach utilizing GPT’s advanced capabilities to address key UBEM challenges using GPT-4o. The study aimed to demonstrate the effectiveness of GPT-UBEM in performing UBEM tasks and to explore its potential in overcoming traditional limitations. Specifically, (1) basic analytics of urban data, (2) data analysis and energy prediction, (3) building feature engineering and optimization, and (4) energy signature analysis were conducted in four case studies. These analyses were applied to 2,000 buildings in Seoul and 31 buildings in Gangwon-do, South Korea. Through case study, the findings highlighted the ability of GPT-UBEM to integrate diverse data sources, optimize building features for high accuracy in prediction models, and provide valuable insights for urban planners and policymakers through the use of expert domain knowledge and intervention. Additionally, based on the results derived from GPT-UBEM in this study, the current limitations of GPT-UBEM (L1 to L3) and future research directions (F1 to F4) have been outlined.

How Does Digitalization Drive Urban Industrial Locations? An Empirical Examination of South Korea’s Experience

This study offers a novel empirical examination of the interplay between industrial digitalization and urban spatial dynamics, addressing a significant gap in the existing literature. Using data from 1,609 firms in South Korea and employing a generalized structural equation model, this study examines how digitalization influences industries’ preferences for urban locations. It diverges from previous theoretical and intuitive approaches, by providing concrete data-driven insights. The role of digitalization in enhancing productivity and spatial efficiency is a critical outcome here, thereby encouraging industries to favor urban areas. It also reveals an unexpected nuance: digitalization does not directly correlate with clean production, challenging prevalent assumptions. By empirically validating the indirect pathways linking digitalization with urban industrial setting, this study contributes uniquely toward understanding technological advancements’ reshaping of urban industrial landscapes. This nuanced insight extends beyond the current discourse, emphasizing the indirect yet substantial influence of digitalization on industrial location choices. This marks a critical advancement in the academic examination of urban industrial dynamics.

Identification and Characterization of a surfactin from Pseudomonas gessardii: A Symbiotic Bacterium with Potent Anticancer Activity

Prasiola japonica, traditionally used as food and folk medicine in South Korea, exerts pharmacological properties, including antioxidant, anti-inflammatory, antidiabetic, and anticancer effects. In this study, we explored symbiotic microbes associated with P. japonica and identified Pseudomonas gessardii as a nonpathogenic symbiotic bacterium through 16S rDNA sequencing. Bioactivity-guided fractionation of P. gessardii ethanol extracts, utilizing a series of non-polar to polar solvents, led to the isolation of a single bioactive compound (SF10) from the ethyl acetate fraction. Structural analysis using LC-MS and NMR spectroscopy identified SF10 as surfactin C15, a lipopeptide consisting of 7 amino acids and a β-hydroxy fatty acid chain containing 15 carbon atoms. This represents the first discovery of surfactin production in P. gessardii, expanding known surfactin-producing genera beyond Bacillus. In HT-29 colorectal cancer cells, surfactin C15 demonstrated significant anticancer activity through multiple mechanisms: inhibition of cancer stem cell marker CD133 expression, upregulation of pro-apoptotic factors (CHOP, PUMA, DR5), and modulation of cell cycle regulators (p21, cyclin E1, CDK5). Furthermore, surfactin C15 induced necrotic cell death, confirmed by increased lactate dehydrogenase release and flow cytometry analysis showing dose-dependent increases in necrotic cell populations. This study reveals a novel source of surfactin with unique cancer cell-targeting properties, particularly through its ability to induce necrosis in colorectal cancer cells, suggesting potential therapeutic applications in cancer treatment.

Assessments of Liquefaction Triggering Using In Situ and Laboratory Tests in Pohang, South Korea

Assessments of Liquefaction Triggering Using In Situ and Laboratory Tests in Pohang, South Korea

Wildfire burn severity and post-wildfire time impact mechanical and hydraulic properties of forest soils

Vegetation contributes to the overall slope stability and is recognized as an environmentally friendly nature-based solution. Wildfires burn and denude vegetated slopes, thus increasing the risk of shallow landslides and debris flows. However, little attention has been given to assessing the effects of burn severity and the time elapsed since a wildfire on the hydro-geomechanical properties of burned slopes. This study performed a series of standard laboratory tests to evaluate the shear strength and saturated hydraulic conductivity (ksat) of forest soils collected from moderate-low (ML) burned, moderate-high (MH) burned, and unburned (UB) test plots. The plots were sampled one, four, and six months after the March 2022 wildfire in Uljin County, South Korea. The results show that the continuous deterioration of roots highly depended on the burn severity. The root biomass of ML- and MH-burned soils was consistently lower than those of the UB soils. The root deterioration reduced the shear strength of the soils temporally. The burned soil's cohesion intercept was 1.80–2.30 times lower than that of the UB soil six months post-wildfire, with the friction angle unaffected. One- and four-months post-wildfire, ksat of the burned soils was 1.22–3.15 times lower than the UB soil. Such lowered ksat was due to the fine ash-clogged pores and hydrophobic layers beneath the soil surface. However, six months post-wildfire, the burned soils' ksat increased by approximately twice that of the pre-wildfire condition because of macropore flow passages formed by impoverished roots. The appreciation of sand fraction, depreciation of fines content, and weakening of hydrophobicity over time have also emphasized their role in the temporal shifts in the properties of the ML- and MH-burned soils. The documented results herein can be incorporated into rainfall infiltration and stability analyses of wildfire-affected slopes, landslide susceptibility mapping, and mitigation measures design.

Effects of immersive virtual reality simulation–based maternity nursing education: A randomized controlled trial

BackgroundWe investigated the impact of an immersive virtual reality (IVR)-based scenario simulation education program as an alternative to traditional maternity nursing practicums. MethodA simulation maternity nursing class at Wonkwang University in South Korea was conducted with 59 junior nursing students (experimental group = 30, control group = 29). This randomized controlled trial evaluated the effects of the IVR simulation on students’ knowledge, satisfaction, self-efficacy, and confidence in delivering nursing care. We conducted data collection from September 2021 to February 2022. SPSS version 25.0 was used for data analysis. ResultsBoth groups’ most common previous-semester grade was B, followed by A and C. In the experimental group, 17 participants reported high or very high satisfaction, and 12 in the control group reported high satisfaction. The groups showed significant differences in knowledge (p = .024), satisfaction (p < .001), self-efficacy (p = .018), and confidence (p < .001) in normal vaginal delivery nursing care. ConclusionsCompared to traditional simulation, IVR simulation can enhance maternity nursing students’ knowledge, satisfaction, self-efficacy, and confidence.

Effects of a bypass-type multistage sand-filled dam on water supply in a drought-vulnerable area in Mullocheon catchment, South Korea

Study regionMullocheon catchment, Gangwon-do, South Korea Study focusClimate change can lead to extreme droughts worldwide, and regions relying on valley streams without large reservoirs are more vulnerable to drought. To address this, a bypass-type multistage sand-filled dam (BMSD) was constructed in a drought-prone area in South Korea, specifically in the Mullocheon catchment, to supply water to a small-population village. The BMSD was connected in series with an existing small pond, and the drainage rates were integrated through a single conduit. Quantitatively analyzing the contribution of the newly constructed sand-filled dam was challenging, so this study investigated the effect of the sand dam on water supply capacity using a bed-mounted infiltration system. The contribution of the sand-filled dam to the total drainage rate was calculated using observation data. New hydrological insights for the regionThe hydraulic conductivity of the riverbed and the drainage rate of the intake pond were estimated using the observed water level and flow rate. Prior to the installation of the sand dam, from January to May 2021, the total precipitation was approximately 284.72mm, and the average drainage rate was 76.78m³/d. After the sand dam was installed, from January to May 2022, the precipitation was 165.13mm, and the average drainage rate increased by 45.4% to 124.49m³/d. It was observed that during normal periods, the supply was more than three times greater than before, and even during droughts, the supply met the residents' needs. This indicates that the sand-filled dam’s storage effect has enhanced drought resilience.

Perceptions and Mental Health Effects of Therapeutic Farming across Age Groups: A Survey-based Study

We aimed to derive data that can serve as the basis for designing customized therapeutic farming programs (TFPs) for different life stages by collecting information regarding the mental health status and perceptions of therapeutic farming (TF). We created a survey encompassing individual mental health conditions, general perceptions and participation, demand, and policy requirements regarding TF. By targeting children, adolescents, adults, and older adults in the metropolitan area of South Korea, we collected 505 surveys online and face-to-face. Children and adolescents had worse mental health management than adults and older adults. More than half of the respondents reported experiencing stress and depressive symptoms. Regarding perceptions of TF, compared with other age groups, older adults were more likely to believe in the mental health benefits of plants. Additionally, those with relatively lower stress, depression, and anxiety levels agreed on these benefits. The primary purposes and expected activities regarding TFP participation differed by age group. However, pets and small farm animals were the most preferred animals for TF across all age groups. When promoting TF, children and adolescents prioritized improved introduction and promotion, whereas adults and older adults prioritized improved accessibility. These data can help develop customized TFPs for different life stages as well as the general public.

Time-frequency Co-movement and Cross-quantile Connectedness of Exchange Rates: Evidence from ASEAN+3 Countries

This study investigates the time-frequency co-movement and cross-quantile connectedness of exchange rates. Using wavelet coherence and cross-quantile methods, we examine ASEAN+3 countries’ time-frequency co-movement, quantile spillover effects, and network connectedness of the exchange rate markets. Our empirical results are as follows: significant co-movement heterogeneity exists across countries over different frequency bands. Moreover, the Chinese Yuan (CNY), Japanese Yen, and South Korea Won are desirable sources of diversification for other currencies across different investment horizons. CNY and JPY exhibit good regional safe haven currency attributes in different investment horizons. Overall, these findings suggest ways for currency authorities to maintain exchange rate stability and investor portfolio decisions.

Boosting the efficacy of green accounting for better firm performance: artificial intelligence and accounting quality as moderators

Purpose This study aims to deepen our understanding of how conventional technologies and robust accounting education standards can impact the effectiveness of green accounting practices in enhancing firm performance. To achieve this, the paper explores the moderating effects of artificial intelligence (AI) and accounting education quality on the relationship between green accounting and firm performance. Design/methodology/approach Using generalized method of moments estimation, this research uses a comprehensive dataset comprising 32,680 firm-year observations of listed companies from ten prominent countries – Canada, the UK, the USA, China, France, Germany, India, Japan, South Korea and Italy – over the period from 2012 to 2022. These countries, selected based on their high gross domestic product rankings as reported by the International Monetary Fund, ensure a diverse representation of economic strengths and capture a wide range of green accounting practices. Findings The study shows that green accounting practices positively impact current firm performance. Country-level AI positively moderates this relationship, suggesting that advanced AI infrastructure enhances the benefits of green accounting through improved data accuracy and decision-making. However, country-level accountancy education quality negatively moderates the relationship, indicating that stringent implementation of green accounting standards in these regions may introduce complexities and costs that reduce firm performance. Practical implications Integrating AI enhances data processing, predictive analytics and decision-making, improving green accounting effectiveness. High-quality accounting education ensures accurate reporting and greater transparency. These insights, when applied, can empower businesses to optimize sustainability strategies, assist policymakers in developing targeted regulations and guide educators in preparing accountants for the evolving demands of green accounting. Originality/value To the best of the authors’ knowledge, this study is the first to explore the combined moderating effects of AI and accounting education quality on the relationship between green accounting and firm performance. By highlighting the synergistic role of digital innovation and robust educational standards, this research offers novel insights into how these factors can enhance the effectiveness of green accounting practices and improve financial outcomes.

Concrete Actions for Improving Indoor Air Quality in Korea: Advancing Public Health for Vulnerable Populations

In modern society, individuals spend an increasing amount of time indoors, emphasizing the importance of understanding the health impacts of indoor environments. This study focused on measuring indoor air quality to identify vulnerable populations and observe the effects of residential environment improvements on air quality. Targeting low-income families and elderly households, known for their heightened vulnerability to environmental health risks, the study involved direct visits to 2328 low-income households across 16 cities and provinces in South Korea from 2021 to 2022. Indoor air quality parameters, including PM2.5, PM10, total volatile organic compounds (TVOC), formaldehyde (HCHO), and airborne mold, were measured. Among these households, 300 with critically compromised living conditions received support for wallpaper and paneling replacement. Comparative measurements before and after the renovations revealed that single-person households had higher levels of PM2.5 and TVOC compared with households with four or more members. Additionally, households with elevated concentrations of airborne mold also exhibited higher levels of PM2.5 and PM10. Importantly, households that received environmental improvements showed a significant reduction in airborne mold concentration by approximately 50% or more. This study underscores the importance of indoor environmental health and provides valuable evidence supporting policies focused on health promotion and residential welfare improvements for vulnerable populations. The research is distinguished by its comprehensive nature, involving direct measurements from nearly 2000 households nationwide, rather than relying solely on secondary data.

Refinement and Validation of the SPEcies at Risk Index for Metals (SPEARmetal Index) for Assessing Ecological Impacts of Metal Contamination in the Nakdong River, South Korea

The SPEcies At Risk index for metals (SPEARmetal index) was refined using updated physiological sensitivity data and validated to assess the ecological impact of metal contamination on benthic macroinvertebrate communities in the upper Nakdong River, near a Zn smelter in Korea. Biosurvey and chemical monitoring data were collected at 18 sites surrounding the smelter and nearby mines. Acute ecotoxicity tests on 20 indigenous species from the Korean peninsula were conducted and used to update taxon-specific metal sensitivity data. The refined SPEARmetal index, based on this updated sensitivity, was significantly lower than previous versions, with most values below the severe impact threshold (0.5) in the main stream. The correlation between hazard quotients in water and the SPEAR index improved, with the correlation coefficient increasing from 0.63 to 0.70. Despite consistently high benthic macroinvertebrate indices (BMIs) across the study area, generic ecological indices, such as total richness, EPT (Ephemeroptera, Plecoptera, and Trichoptera taxa richness), and Shannon’s diversity index, showed correlations with metal contamination levels. Principal component analysis identified the SPEARmetal index as the primary indicator associated with metal contamination in both water and sediment. These findings highlight the improved performance of the refined SPEARmetal index as a more sensitive and specific tool for assessing the ecological status of metal-impacted aquatic ecosystems compared to traditional indices.

Effect of Biological Therapy for Psoriasis on the Development of Psoriatic Arthritis: A Population-Based Cohort Study.

Evidence comparing the impact of various biologics for psoriasis on the progression to psoriatic arthritis (PsA) is limited. We therefore assessed the risk of PsA associated with interleukin (IL)-23 inhibitor, IL-17 inhibitor, or IL-12/23 inhibitor use compared with tumor necrosis factor (TNF) inhibitor use among patients with psoriasis. This population-based cohort study used the nationwide claims database from South Korea (2007-2023). New users of IL or TNF inhibitors with psoriasis who did not have PsA or other inflammatory arthritis were categorized into each class of the IL inhibitors for comparison with TNF inhibitor users. The outcome measured was the development of incident PsA. We calculated multinomial overlap weights to balance predefined covariates. Hazard ratio (HR) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models. We identified 9499 patients with psoriasis (mean age 45.1 years; 33.6% female), of whom 3913 (41.2%), 2126 (22.4%), 2773 (28.8%), and 727 (7.7%) were exposed to IL-23 inhibitor, IL-17 inhibitor, IL-12/23 inhibitor, and TNF inhibitor, respectively. PsA developed in 281 (3.0%) patients during 23,275 person-years. The weighted HR for any IL inhibitors was 0.40 (95% CI 0.25-0.62), with specific HRs of 0.22 (95% CI 0.13-0.37), 0.47 (95% CI 0.28-0.80), and 0.46 (95% CI0.29-0.74) for IL-23 inhibitor, IL-17 inhibitor, and IL-12/23 inhibitor, respectively. IL-23 inhibitors exhibited the greatest rate difference of - 2.61 (95% CI - 3.67 to - 1.55) cases of PsA per 100 person-years. The use of IL inhibitors, particularly IL-23 inhibitors, compared with TNF inhibitors, was associated with a lower risk of developing PsA.

Optimal Design of Water Distribution System Using Improved Life Cycle Energy Analysis: Development of Optimal Improvement Period and Unit Energy Formula

Water distribution systems (WDSs) are crucial for providing clean drinking water, requiring an efficient design to minimize costs and energy usage. This study introduces an enhanced life cycle energy analysis (LCEA) model for an optimal WDS design, incorporating novel criteria for pipe maintenance and a new resilience index based on nodal pressure. The improved LCEA model features a revised unit energy formula and sets standards for pipe rehabilitation and replacement based on regional regulations. Applied to South Korea’s Goyang network, the model reduces energy expenditure by approximately 35% compared to the cost-based design. Unlike the cost-based design, the energy-based design achieves results that can relatively reduce energy when designing water distribution networks by considering recovered energy. This allows designers to propose designs that consume relatively less energy. Analysis using the new resilience index shows that the energy-based design outperforms the cost-based design in terms of pressure and service under most pipe failure scenarios. The implementation of the improved LCEA in real-world pipe networks, including Goyang, promises a practical life cycle-based optimal design.