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Background: Individuals with type 2 diabetes mellitus (T2DM) have increased colorectal cancer (CRC) risk, but it is unknown whether income dynamics are associated with CRC risk in these individuals. We examined whether persistent low- or high-income and income changes are associated with CRC risk in non-elderly adults with T2DM. Methods: Using nationally representative data from the Korean Health Insurance Service database, 1,909,492 adults aged 30 to 64 years with T2DM and no history of cancer were included between 2009 and 2012 (median follow-up of 7.8 years). We determined income levels based on health insurance premiums and assessed annual income quartiles for the baseline year and the four preceding years. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for sociodemographic factors, CRC risk factors, and diabetes duration and treatment. Results: Persistent low income (ie, lowest income quartile) was associated with increased CRC risk (HR5 years vs 0 years 1.11; 95% CI, 1.04–1.18; P for trend = 0.004). Income declines (ie, a decrease ≥25% in income quantile) were also associated with increased CRC risk (HR≥2 vs 0 declines 1.10; 95% CI, 1.05–1.16; P for trend = 0.001). In contrast, persistent high income (ie, highest income quartile) was associated with decreased CRC risk (HR5 years vs 0 years 0.81; 95% CI, 0.73–0.89; P for trend < 0.0001), which was more pronounced for rectal cancer (HR 0.64; 95% CI, 0.53–0.78) and distal colon cancer (HR 0.70; 95% CI, 0.57–0.86). Conclusion: Our findings underscore the need for increased public policy awareness of the association between income dynamics and CRC risk in adults with T2DM.

The human leukocyte antigen (HLA) system, which is part of the major histocompatibility complex (MHC) plays a vital role in immune responses by differentiating between itself and foreign cells and antigens. The significant diversity of alleles affects disease susceptibility and immune responses within different populations. Specifically, the HLA-A and HLA-DRB1 alleles are associated with various immune-related diseases, and understanding the frequency and haplotype associations of these alleles is vital for genetic and immunological research. To investigate the distribution of these characteristics in Koreans, we isolated peripheral blood mononuclear cells (PBMCs) from blood samples donated by volunteers at the Seoul Central Blood Bank and performed HLA typing on 790 samples. Our study found that the HLA-A and HLA-DRB1 alleles are widely distributed within the Korean population, with HLA-A*24:02 (21.7%) and HLA-DRB1*09:01 (9.9%) being the most frequent. Significant haplotype associations between specific HLA-A and HLA-DRB1 alleles were identified using the Chi-square test, suggesting that certain genetic combinations may influence disease onset. This insight could contribute to the development of predictive and preventative strategies for various diseases. The unique genetic characteristics of the Korean population highlight the importance of studying the HLA allele and the haplotype distributions in this group as key indicators for understanding disease susceptibility.

Considering that system analysis codes are used for the evaluation of the performance of Passive Safety Systems (PSSs), it is important to investigate the capability of the system analysis code to reliably predict the heat transfer and natural circulation flow, which are the main phenomena governing the performance of a PSS. Since MARS-KS has been widely validated for heat transfer models, this study focuses on evaluating its capability to predict the single and two-phase pressure drops and natural circulation flow. The straight pipe simulation results indicate that the pressure drop predictions are reliable within ±5 % error margin for the single-phase flow and the errors of pressure drop up to −30 % for the two-phase flow. Through single-phase natural circulation flow analysis, it is concluded that the use of the appropriate K-factor modeling based on the flow regimes is important since the natural circulation flow rate in MARS-KS is mainly affected by the form loss factor modeling. With two-phase natural circulation flow analysis, this study emphasizes the behavior of the system could change significantly depending on the two-phase wall friction and pressure loss modeling. With the analysis results, modeling considerations for the PSS performance evaluation with the system analysis codes are proposed.

Abstract Alzheimer’s disease (AD) is the most common dementia. It is known that women with one ApoE4 allele display greater risk and earlier onset of AD compared with men. In mice, we previously showed that follicle–stimulating hormone (FSH), a gonadotropin that rises in post–menopausal females, activates its receptor FSHR in the hippocampus, to drive AD–like pathology and cognitive impairment. Here we show in mice that ApoE4 and FSH jointly trigger AD-like pathogenesis by activating C/EBPβ/δ-secretase signaling. ApoE4 and FSH additively activate C/EBPβ/δ-secretase pathway that mediates APP and Tau proteolytic fragmentation, stimulating Aβ and neurofibrillary tangles. Ovariectomy-provoked AD-like pathologies and cognitive defects in female ApoE4-TR mice are ameliorated by anti-FSH antibody treatment. FSH administration facilitates AD-like pathologies in both young male and female ApoE4-TR mice. Furthermore, FSH stimulates AD-like pathologies and cognitive defects in ApoE4-TR mice, but not ApoE3-TR mice. Our findings suggest that in mice, augmented FSH in females with ApoE4 but not ApoE3 genotype increases vulnerability to AD-like process by activating C/EBPβ/δ-secretase signalling.

The worldwide diabetes epidemic is estimated to currently afflict almost 500 million persons. Long-term diabetes damages multiple organ systems with the blood vessels, eyes, kidneys and nervous systems being particularly vulnerable. These complications of diabetes reduce lifespan, impede quality of life and impose a huge social and economic burden on both the individual and society. Peripheral neuropathy is a debilitating complication that will impact over half of all persons with diabetes. There is no treatment for diabetic neuropathy and a disturbingly long history of therapeutic approaches showing promise in preclinical studies but failing to translate to the clinic. These failures have prompted re-examination of both the animal models and clinical trial design. This review focuses on the functional and structural parameters used as indices of peripheral neuropathy in preclinical and clinical studies and the extent to which they share a common pathogenesis and presentation. Nerve conduction studies in large myelinated fibers have long been the mainstay of preclinical efficacy screening programs and clinical trials, supplemented by quantitative sensory tests. However, a more refined approach is emerging that incorporates measures of small fiber density in the skin and cornea alongside these traditional assays at both preclinical and clinical phases.

Objectives The objectives of this study are to assess the degree of uniformity of the flow rate flowing into four grit chamber for actual waste water treatment and to to improve hydraulic structure of the existing distribution channel. Methods Mobile ultrasonic flow meter was used to measure each flow rate flowing into four grit chambers, and the CFD technique was used to suggest several hydraulic structure improvements for enhancing flow rate evenness. Results and Discussion From the results of the actual measurement using ultrasonic flowmeter and CFD simulation, The flow rates distributed to four grit chamber through the existing complicated open channels (four outlets) showed a severe unevenness. It was revealed that the flow rate passing through the outlets 1 and 4 at both right anf left ends showed a difference of more than 20% compared to those through outlets 2 and 3 installed in the center. Conclusion As a result of examining the data of the water level, flow rate, and distribution percentages passing through the 4 distribution channels using the CFD simulation, it was found that case 4 (the case to install the orifice walls on both sides) had the most even flow rate distribution effect. However, as a result of comparing the water levels in case 4 and case 6, the case installing both orifice walls make relatively higher head loss.

Background Interest in digital medical information has increased because it allows doctors to easily access a patient’s medical records and provide appropriate medical care. Blockchain technology ensures data safety, reliability, integrity, and transparency by distributing medical data to all users over a peer-to-peer network. This study attempted to assess pediatricians’ thoughts and attitudes toward introducing blockchain technology into the medical field. Methods This study used a questionnaire survey to examine the thoughts and attitudes of 30- to 60-year-old pediatricians regarding the introduction of blockchain technology into the medical field. Responses to each item were recorded on a scale ranging from 1 (never agree) to 7 (completely agree). Results The scores for the intentions and expectations of using blockchain technology were 4.0 to 4.6. Pediatricians from tertiary hospitals responded more positively (4.5–4.9) to the idea of using blockchain technology for hospital work relative to the general population (4.3–4.7). However, pediatricians working in primary and secondary hospitals had a slightly negative view of the application of blockchain technology to hospital work (p=0.018). Conclusion When introducing the medical records of related pediatric and adolescent patients using blockchain technology in the future, it would be better to conduct a pilot project that prioritizes pediatricians in tertiary hospitals. The cost, policy, and market participants’ perceptions are essential factors to consider when introducing technology in the medical field.

Oysters are a major commercial and ecological fishery resource. Recently, the oyster industry has experienced mass mortality in summer due to environmental factors. Generally, the survival of oysters in aquatic environments is mainly impacted by environmental stressors such as elevated sea temperatures and reduced salinity; however, the stressors impacting tidal flat oysters that are repeatedly exposed to air remain poorly understood. Hence, we studied the relationship between environmental factors and the survival of tidal flat pacific oysters in Incheon, South Korea, where mass mortality is common. Principal component analysis and Bayesian networks revealed that air temperature (in spring and summer) and sea temperature (in summer) are related to oyster production. In habitats of the tidal flat oysters during the summer, high temperatures of 34.7–35.4°C (maximum 47.6°C) were observed for average durations of 0.8–1.9 hours (maximum 3.6 hours). Furthermore, heat waves occurred for up to 12 consecutive days. Results from the multiple stress test showed that when exposed to 45°C (air temperature) for 4 hours per day, the survival rate of oysters was 42.5% after only 2 days and 0% after 6 days. The findings stemming from the field observations and stress tests suggest that high temperatures during emersion may contribute to mass mortality of oysters in summer, indicating a potential threat to oysters due to climate change. To understand the effects of future thermal stress on oysters more accurately, simultaneous long-term trend analyses and field-based observations are required.