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We propose a genetic algorithm for optimizing oil skimmer assignments, introducing a tailored repair operation for constrained assignments. Methods essentially involve simulation-based evaluation to ensure adherence to South Korea's regulations. Results show that the optimized assignments, compared to current ones, reduced work time on average and led to a significant reduction in total skimmer capacity. Additionally, we present a deep neural network-based surrogate model, greatly enhancing efficiency compared to simulation-based optimization. Addressing inefficiencies in mobilizing locations that store oil skimmers, further optimization aimed to minimize mobilized locations and was validated through scenario-based simulations resembling actual situations. Based on major oil spills in South Korea, this strategy significantly reduced work time and required locations. These findings demonstrate the effectiveness of the proposed genetic algorithm and mobilized location minimization strategy in enhancing oil spill response operations. [ABSTRACT FROM AUTHOR]

Aim: This cross‐sectional study aimed to investigate the factors that affected the mental health of Korean nurses caring for coronavirus disease 2019 (COVID‐19) patients, causing posttraumatic stress disorder, depression, anxiety, and sleep disorders. Background: Infectious disease outbreaks like COVID‐19 affect the mental health not only of those who contract the disease but also of nurses caring for affected patients. Introduction: To address health issues effectively, it is essential to comprehend how to prevent them. Therefore, it is necessary to scrutinize the origins of COVID‐19–related health concerns and devise measures to prevent potential problems. Method: We used an online survey to collect data from 136 nurses caring for COVID‐19 patients during the initial stage of the pandemic. The data were analyzed using the one‐way analysis of variance and a simple logistic regression. Results: The findings confirmed a high prevalence of posttraumatic stress disorder among nurses, with symptoms of depression, anxiety, and sleep problems. Discussion: Our research has shown that it is important not to exacerbate the difficulties that nurses face after their activities. Therefore, it proposes for creating environmental structures that mitigate predictable challenges such as workload from various tasks, sleep disturbances, and hopelessness, rather than focusing on personal vulnerabilities. Conclusion: Timely attention to influencing factors can reduce the risk to nurses' mental health, so we need to plan preventive measures that reflect the influencing factors to prepare for future pandemics. Implications for nursing and health policy: Continuous monitoring of the mental health status of nurses responding to a global health crisis and the development of appropriate psychological support programs and policies for creating a conducive work environment are necessary. [ABSTRACT FROM AUTHOR]

Objectives: The aim was to investigate the effect of -maternal smoking exposure assessed by urinary tobacco-specific nitrosamine metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-a1-butanol (NNAL) with adverse pregnancy outcomes.Methods: A total of 251 pregnant women were recruited. Urinary cotinine and NNAL were measured. Participants' sociodemographics were obtained by questionnaire and pregnancy outcomes were collected by charts review after delivery.Results: The prevalence of smoking was 8.4% (21 of 249), 1.2% (3 of 241), and 3.7% (9 of 241) in pregnant women according to questionnaire, cotinine, and NNAL, respectively. As compared with questionnaire positivity and cotinine levels, women with positive NNAL were independent determinants for spontaneous abortion (adjusted OR 12.357, 95% CI 2.053-74.368), preterm birth (adjusted OR 22.239, 95% CI 3.737-132.357), and small for gestational age (adjusted OR 6.915, 95% CI 1.385-34.524).Conclusions: Urinary NNAL might be a useful biomarker in detection of maternal smoking status in association with adverse pregnancy outcomes. Use of this marker in preconception and pregnancy counselling before planning pregnancy may allow prevention of several adverse pregnancy outcomes. [ABSTRACT FROM AUTHOR]

Objective. Phosphatidylethanol (PEth) is formed endogenously by the direct action of ethanol, and has a half-life long enough to make it a reliable biomarker of alcohol exposure in early pregnancy. In this study, we aimed to characterize PEth blood concentrations to differentiate different levels of alcohol exposure in pregnant women. Methods. The study consisted of 305 consecutive pregnant women who had been referred to our hospital for antenatal care. Of them, 117 self-reported alcohol ingestion in the first trimester of pregnancy and 188 were abstainers. Total PEth concentration in whole blood was quantified by liquid chromatography-mass spectrometry (LC-MS/MS). Alcohol ingestion was classified according to the United States National Institute on Alcohol Abuse and Alcoholism into light drinkers: ≤ 3 drinks/week, moderate drinkers: 3-7 drinks/week, and heavier drinkers: > 7 drinks/week (a standard drink = 14 g of ethanol). Results. Participants had quantifiable PEth blood levels 3-4 weeks after the last drink. There were 4.8% abstainers who had positive PEth concentrations; all of them reported a positive history of alcohol consumption before conception. PEth blood concentrations were significantly correlated to drinks per occasion ( r = 0.44; P < 0.001) and days drinking per week ( r = 0.34; P < 0.001). However, almost 74% of participants with ≤ 3 drinks/week of alcohol, and 46% with 3-7 drinks/week, had PEth blood concentrations below the lower limit of quantification (LLOQ). The area under the curve (AUC) generated by a receiver operation characteristic curve (ROC) analysis increased as the cutoff value of PEth blood concentration increased. However, the cutoff values were below or close to the LLOQ. Conclusions: Our study presents a formal characterization of PEth blood concentrations for screening alcohol ingestion in first-trimester pregnant women. However, caution is recommended for overrepresenting either negative or positive results. [ABSTRACT FROM AUTHOR]

Objective. A reliable biomarker of low alcohol exposure during pregnancy is needed to clarify the controversy on the teratogenicity of low-to-moderate alcohol levels. Methods. Blood samples were obtained from 13 pregnant women who self-reported alcohol ingestion between 2.5 and 20 drinks/week, and from 26 controls. Total lipids were extracted, and phosphatidylethanol (PEth) species 16:0/16:0, 16:0/18:1, and 16:0/18:1 were separated by high-performance liquid chromatography (HPLC) on a reverse-phase phenyl column. These PEth species were quantified by MS/MS using phosphatidylpropanol as internal standard, with electrospray ionization and MRM. Results. PEth species were not detected in women who abstained from alcohol ingestion during pregnancy, whereas PEth-16:0/18:1 was > 5 nmol/L in those with positive alcohol ingestion. PEth species were detected for up to 4 weeks after cessation of exposure. Conclusions. PEth-16:0/18:1 was detected in pregnant women at 4-6 weeks after their last low-to-moderate alcohol ingestion, and therefore appears to be a reliable biomarker of prenatal alcohol exposure to study the teratogenicity of alcohol at these exposure levels. [ABSTRACT FROM AUTHOR]

Feature selection reduces the dimension of input variables by eliminating irrelevant features. We propose feature selection techniques based on a genetic algorithm, which is a metaheuristic inspired by a natural selection process. We compare two types of feature selection for predicting a stock market index and cryptocurrency price. The first method is a newly devised genetic filter involving a fitness function designed to increase the relevance between the target and the selected features and decrease the redundancy between the selected features. The second method is a genetic wrapper, whereby we can find the better feature subsets related to KOPSI by exploring the solution space more thoroughly. Both genetic feature selection methods improved the predictive performance of various regression functions. Our best model was applied to predict the KOSPI, cryptocurrency price, and their respective trends after COVID-19. [ABSTRACT FROM AUTHOR]

Simple Summary: We identified the sequence encoding galectin-9 from Pagrus major and subsequently investigated the molecular characteristics and changes in gene expression patterns in response to artificial infection with major pathogens. Overall, our data suggest that galectin-9 plays a pivotal role in the immune system of P. major. The findings of this study can potentially serve as a reference for understanding the function of galectin-9 in the P. major immune system; moreover, galectin-9 has been identified as a potential candidate for use as a disease-related molecular marker. Galectin (Gal) is a member of a family of β-galactoside-binding lectin. The members of this family play important roles in the recognition of carbohydrate ligands and in various other biological processes. In this study, we identified the gene encoding Gal-9 in Pagrus major (PmGal-9) and analyzed its expression in various tissues after pathogen challenge. Alignment analysis revealed that the two galactose-binding lectin domains of the deduced protein were highly conserved among all the teleosts. Phylogenetic analysis revealed that PmGal-9 is most closely related to the Gal-9 gene of gilthead sea bream. PmGal-9 was ubiquitously expressed in all tissues analyzed but was predominantly expressed in the spleen, head kidney, and intestine. After challenges with major microbial pathogens (Edwardsiella piscicida, Streptococcus iniae, or red sea bream iridovirus) of red sea bream, PmGal-9 mRNA expression was significantly regulated in most immune-related tissues. These results suggested that PmGal-9 not only plays an important role in the immune system of red sea bream but is also a possible inflammatory marker for pathogenic diseases. [ABSTRACT FROM AUTHOR]

Simple Summary: In this study, we detected Kudoa hexapunctata in Pacific bluefin tuna (Thunnus orientalis) individuals that did not show any gross pathology lesions. Giemsa staining was used to identify clearer lesions than haematoxylin and eosin (H&E) staining that is used in general histological analysis. K. hexapunctata was separated through molecular biological methods, other than haematolocial and histological analysis. Individuals infected with K. hexapunctata showed relatively low haemoglobin (Hb) and haematocrit (Ht) values, and histological analysis revealed clear pseudocysts in the abdominal and dorsal muscles. The consumption of fish and shellfish worldwide is steadily increasing, and tuna is a particularly valuable fish species. However, infection caused by Kudoa spp. is causing problems in many fish including the Pacific bluefin tuna (Thunnus orientalis), and there is much controversy about the association of these infections with foodborne disease. In this study, using haematological and histological analyses of the blood and internal organs (liver, spleen, kidney, heart, stomach, intestine, gill, and muscle) of Pacific bluefin tuna cultured in South Korea, infection with Myxosporea was first identified, and molecular biological analysis was conducted. In this study, Kudoa hexapunctata was finally identified. The Pacific bluefin tunas analysed in this study did not show any gross pathology lesions, such as visible cysts and/or myoliquefaction, of infection with this species. The histological analytical results can provide guidelines for the identification of K. hexapunctata. In the case of K. hexapunctata-induced infection, unlike other countries, such as Japan, there have been no reports in South Korea, and this study is the first to detect K. hexapunctata infection in Pacific bluefin tuna cultured in South Korea. The correlation between K. hexapunctata and food poisoning is not yet clear, however, it is thought that continuous observation of its infection is necessary. [ABSTRACT FROM AUTHOR]

Hyponatremia can be a life-threatening illness among hospitalized children. The aims of this study were to evaluate the incidence and risk factors of hyponatremia in 3938 children who were admitted to the Cheil General Hospital and Women’s Health Care Center with respiratory infections. Clinical data were collected, and multiplex RT-PCR analyses were done for various microorganisms. Hyponatremia was observed in 531 (13.5%) patients. The incidence of hyponatremia differed according to the respiratory tract infection (P < 0.0001) and microorganism (P = 0.001). In children with hyponatremia, the age at admission was significantly older (P < 0.0001), male gender was more frequent (P = 0.019), CRP was higher (P < 0.0001), and coinfection with multiple organisms was more common (P = 0.001) than in children without hyponatremia. In multivariate analyses, an older age at admission (P = 0.006), male gender (P = 0.004), and increased CRP (P < 0.0001) were independent risk factors. Sodium levels correlated negatively with WBC (P = 0.037), CRP (P < 0.0001), and number of hospital days (P = 0.020). The AUC values of age (0.586, P < 0.0001), CRP (0.599, P < 0.0001), and blood urea nitrogen (0.559, P < 0.0001) were all significant predictors of hyponatremia. This study is the first to show that the incidence of hyponatremia differs according to infecting microorganism and radiological findings. [ABSTRACT FROM AUTHOR]