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Centella asiatica exhibits antioxidant, anti-inflammatory, and dermal-regenerative activities, yet the in vivo efficacy of an orally administered, dose-standardized extract against ultraviolet B (UVB)-induced photoaging has not been fully elucidated. This study investigated the protective effects of a chemically standardized C. asiatica extract (sCAE; 70 mg/g asiaticoside) in UVB-irradiated Skh:HR-1 hairless mice. Animals received oral sCAE (40 or 80 mg/kg/day) for eight weeks during repeated UVB exposure. Comprehensive assessments—including skin biophysical measurements, histological analysis, ELISA, and gene expression profiling—were performed to characterize dose-dependent responses. sCAE significantly reduced wrinkle formation, transepidermal water loss, malondialdehyde accumulation, and pro-inflammatory cytokines, while enhancing skin hydration, elasticity, antioxidant enzyme activities, and collagen expression. It also restored hyaluronic acid, ceramide, and their biosynthetic genes, and suppressed matrix metalloproteinase-1 and -9. Notably, the higher dose (80 mg/kg) consistently shifted key parameters toward normal levels, demonstrating a clear dose–response effect. These findings provide the first integrative in vivo evidence that orally administered, asiaticoside-standardized C. asiatica extract mitigates UVB-induced photoaging by concurrently improving barrier lipids, extracellular matrix integrity, inflammation, and oxidative stress, supporting its potential as a nutricosmetic agent for skin health.

Steamed ginger ethanolic extract (GGE03) has been shown to exert anti-obesity effects, yet its underlying molecular mechanisms remain unclear. This study investigates the metabolic impact of GGE03 on lipid metabolism, adipogenesis, and energy regulation in a high-fat diet (HFD)-induced obesity model. C57BL/6N mice were fed a control diet, a high-fat diet (HFD), or HFD supplemented with GGE03 (50, 100, or 200 mg/kg/day) for eight weeks. GGE03 significantly reduced body weight gain (HFD: 18.1 ± 0.3 g vs. HFD+GGE03 200 mg/kg/day: 13.4 ± 0.2 g, p < 0.05) and fat mass percentage (HFD: significantly higher vs. HFD+GGE03 50, 100, 200 mg/kg/day, p < 0.05). Serum glucose levels were decreased from 220.2 ± 8.2 mg/dL (HFD) to 169.6 ± 5.9 mg/dL (HFD+GGE03 200 mg/kg/day, p < 0.05), and triglyceride levels were reduced from 82.9 ± 4.2 mg/dL (HFD) to 57.2 ± 2.9 mg/dL (p < 0.05). Insulin resistance, as measured by HOMA-IR, was improved by up to 54.9% compared to the HFD (p < 0.05). Mechanistically, GGE03 administration increased AMPK phosphorylation (p-AMPK/AMPK ratio significantly elevated by HFD+GGE03 100 and 200 mg/kg/day, p < 0.05) and upregulated fatty acid oxidation gene expression (Cpt-1), while suppressing lipogenesis-related genes (Srebp-1c, Fas, and Acc1). GGE03 improved obesity-related metabolic disturbances in high-fat diet-induced mice, with beneficial effects associated with AMPK signaling and lipid metabolism. These findings suggest the potential of GGE03 as a functional food ingredient for obesity prevention and management.

To represent 24-2 visual field (VF) losses of individual patients using a hybrid approach of archetypal analysis (AA) and fuzzy c-means (FCM) clustering. In this multicenter retrospective study, we classified characteristic patterns of 24-2 VF using AA and decomposed them with FCM clustering. We predicted the change in mean deviation (MD) through supervised machine learning from decomposition coefficient change. In addition, we compared the areas under the receiver operating characteristic curves (AUCs) of the decomposition coefficient slopes to detect VF progression using three criteria: MD slope, Visual Field Index slope, and pointwise linear regression analysis. We identified 16 characteristic patterns (archetypes or ATs) of 24-2 VF from 132,938 VFs of 18,033 participants using AA. The hybrid approach using FCM revealed a lower mean squared error and greater correlation coefficient than the AA single approach for predicting MD change (all P ≤ 0.001). Three of 16 AUCs of the FCM decomposition coefficient slopes outperformed the AA decomposition coefficient slopes in detecting VF progression for all three criteria (AT5, superior altitudinal defect; AT10, double arcuate defect; AT13, total loss) (all P ≤ 0.028). A hybrid approach combining AA and FCM to analyze 24-2 VF can visualize VF tests in characteristic patterns and enhance detection of VF progression with lossless decomposition.

Phase effect on the modal interaction of flow instabilities is investigated for laminar-to-turbulent transition in a flat-plate boundary-layer flow. Primary and secondary three-dimensional (3-D) oblique waves at various initial phase differences between these two instability modes. Three numerical methods are used for a systematic approach for the entire transition process, i.e. before the onset of transition well into fully turbulent flow. Floquet analysis predicts the subharmonic resonance where a subharmonic mode locally resonates for a given basic flow composed of the steady laminar flow and the fundamental mode. Because Floquet analysis is limited to the resonating subharmonic mode, nonlinear parabolised stability equation analysis (PSE) is conducted with various phase shifts of the subharmonic mode with respect to the given fundamental mode. The application of PSE offers insights on the modal interaction affected by the phase difference up to the weakly nonlinear stage of transition. Large-eddy simulation (LES) is conducted for a complete transition to turbulent boundary layer because PSE becomes prohibitively expensive in the late nonlinear stage of transition. The modulation of the subharmonic resonance with the initial phase difference leads to a significant delay in the transition location up to $\\Delta Re_{x, tr} \\simeq 4\\times 10^5$ as predicted by the current LES. Effects of the initial phase difference on the spatial evolution of the modal shape of the subharmonic mode are further investigated. The mechanism of the phase evolution is discussed, based on current numerical results and relevant literature data.

Background Traditional Korean Medicine (TKM) is highly integrated with the modern health care system of South Korea and is actively used in the public health field. Since 2014, the Ministry of Health and Welfare of South Korea has supported the development of standard models for TKM-based health promotion programs. This study aimed to develop and evaluate a standard TKM-based health promotion program for disadvantaged children. Methods Using convenience sampling, we recruited 16 Community Children’s Centers (CCCs) located in Busan and Yangsan, South Korea, which are welfare daytime facilities for children from socially disadvantaged families. The CCCs were divided into two groups of eight CCCs—intervention CCCs and control CCCs—through random allocation, and children in each group were selected as subjects for the study. For 12 weeks, the TKM-based health promotion program developed in this study along with the basic services of CCCs were applied to children in the intervention group, and only the basic services of CCCs were provided to children in the control group. Data were obtained through pre- and post-surveys with the legal representatives of the children prior to implementing the program and after the 12-week program, respectively. The outcome variables—the number of outpatient visits, absences, lateness/early leaves, infectious symptoms, and EuroQol-5D and EQ-visual analog scale scores–were measured and statistically compared between the groups by descriptive analysis, chi-square test, t-test, and difference-in-differences model with regression analysis. Results At baseline, there were 156 children in the intervention group and 153 children in the control group, among which 155 and 147 children, respectively, were included in the analysis. Results indicated that the number of outpatient visits was significantly lower (by 65%) in the intervention group than in the control group ( p = 0.03), and this was similar in the sensitivity analysis. Regarding other outcome variables, the effects were not consistently significant. Conclusions A standard TKM-based health promotion program has the potential to improve the health of disadvantaged children. In the future, studies with long-term interventions and a larger sample are needed to enhance the applicability of these programs in communities.

Phase effect on the modal interaction of flow instabilities is investigated for laminar-to-turbulent transition in a flat-plate boundary layer flow. Primary and secondary instabilities are numerically studied with 2D Tollmien-Schlichting wave and subharmonic 3D oblique waves at various initial phase differences between these two instability modes. Three numerical methods are used for a systematic approach for the entire transition process, i.e., before the onset of transition well into fully turbulent flow. The Floquet analysis predicts the subharmonic resonance where a subharmonic mode locally resonates for a given basic flow composed of the steady laminar flow and the fundamental mode. Because the Floquet analysis is limited to the resonating subharmonic mode, nonlinear parabolized stability equations (PSE) simulation is conducted with various phase shifts of the subharmonic mode with respect to the given fundamental mode. PSE offers insights on the modal interaction affected by the phase difference up to the weakly nonlinear stage of transition. Large-eddy simulation (LES) is conducted for a complete transition to turbulent boundary layer because PSE becomes prohibitively expensive in the late nonlinear stage of transition. The modulation of the subharmonic resonance with the initial phase difference leads to a significant delay in the transition location up to \\(\\Delta Re_{x, tr} \\simeq 4\\times 10^5\\) as predicted by the current LES. Effects of the initial phase difference on the spatial evolution of the modal shape of the subharmonic mode are further investigated. The mechanism of the phase evolution is discussed, based on current numerical results and relevant literature data.

Tracking suspected cases of COVID-19 is crucial to suppressing the spread of COVID-19 pandemic. Active monitoring and proactive inspection are indispensable to mitigate COVID-19 spread, though these require considerable social and economic expense. To address this issue, we introduce CareCall, a call-based dialog agent which is deployed for active monitoring in Korea and Japan. We describe our system with a case study with statistics to show how the system works. Finally, we discuss a simple idea which uses CareCall to support proactive inspection.