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Adversarial camouflage has garnered attention for its ability to attack object detectors from any viewpoint by covering the entire object's surface. However, universality and robustness in existing methods often fall short as the transferability aspect is often overlooked, thus restricting their application only to a specific target with limited performance. To address these challenges, we present Adversarial Camouflage for Transferable and Intensive Vehicle Evasion (ACTIVE), a state-of-the-art physical camouflage attack framework designed to generate universal and robust adversarial camouflage capable of concealing any 3D vehicle from detectors. Our framework incorporates innovative techniques to enhance universality and robustness, including a refined texture rendering that enables common texture application to different vehicles without being constrained to a specific texture map, a novel stealth loss that renders the vehicle undetectable, and a smooth and camouflage loss to enhance the naturalness of the adversarial camouflage. Our extensive experiments on 15 different models show that ACTIVE consistently outperforms existing works on various public detectors, including the latest YOLOv7. Notably, our universality evaluations reveal promising transferability to other vehicle classes, tasks (segmentation models), and the real world, not just other vehicles.

While depressive symptoms are common during menopausal transition, the relationship between the two remains unclear. Therefore, this study aimed to examine the longitudinal changes in depressive symptoms among middle-aged Korean women and identify those with elevated and worsening symptoms during this period. A total of 1,178 participants who underwent comprehensive health examinations at Kangbuk Samsung Hospital in Korea were followed for a median of 10.8 years (IQR, 9.2-11.6; maximum, 12.7), including all women who reached natural menopause during follow-up, with only data prior to HRT initiation included. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and menopausal stages were classified according to the STRAW + 10 criteria and final menstrual period (FMP). Linear mixed-effects models and group-based trajectory modelling (GBTM) were applied to evaluate longitudinal changes in depressive symptoms and to identify distinct trajectories in the severity and stability of depressive symptoms. The age-adjusted prevalence of CES-D ≥ 16 was 11.0%, 11.5%, 11.2% and 12.4%, with corresponding mean scores of 6.7, 6.6, 6.9 and 7.1 across stages. After adjusting for time-varying age and covariates, menopausal stage transitions were not significantly associated with higher levels of depressive symptoms, whether analysed as continuous or binary variables. For binary CES-D (≥16), the estimated coefficients (95% CI) were 0.10 (-0.20 to 0.41) for early transition, 0.09 (-0.21 to 0.39) for late transition and 0.26 (-0.09 to 0.61) for post-menopause. Similarly, time relative to the FMP (-11 to +9 years) showed no significant association with depressive symptoms. GBTM identified three distinct trajectories: most participants (75.5%) maintained consistently low depressive symptoms throughout the transition, whereas 5.8% showed worsening symptoms. Poor sleep quality (OR 5.83, 95% CI 3.25 to 10.45) and moderate-to-severe vasomotor symptoms (OR 2.95, 95% CI 1.30 to 6.70) were significantly associated with the worsening trajectory. Suicidal ideation was higher in this group (45.4% at baseline, increasing to 70.5% at follow-up). Most women maintained low depressive symptoms during the menopausal transition; however, a subset experienced worsening symptoms linked to menopause-related physical symptoms. Medical visits for menopause-related symptoms may provide opportunities for screening depressive symptoms in higher-risk women, though the screening effectiveness requires further evaluation.

Schwann cells (SCs), which produce neurotropic factors and adhesive molecules, have been reported previously to contribute to structural support and guidance during axonal regeneration; therefore, they are potentially a crucial target in the restoration of injured nervous tissues. Autologous SC transplantation has been performed and has shown promising clinical results for treating nerve injuries and donor site morbidity, and insufficient production of the cells have been considered as a major issue. Here, we performed differentiation of tonsil-derived mesenchymal stem cells (T-MSCs) into SC-like cells (T-MSC-SCs), to evaluate T-MSC-SCs as an alternative to SCs. Using SC markers such as CAD19, GFAP, MBP, NGFR, S100B, and KROX20 during quantitative real-time PCR we detected the upregulation of NGFR, S100B, and KROX20 and the downregulation of CAD19 and MBP at the fully differentiated stage. Furthermore, we found myelination of axons when differentiated SCs were cocultured with mouse dorsal root ganglion neurons. The application of T-MSC-SCs to a mouse model of sciatic nerve injury produced marked improvements in gait and promoted regeneration of damaged nerves. Thus, the transplantation of human T-MSCs might be suitable for assisting in peripheral nerve regeneration.

Although several studies have evaluated the association between fine particulate matter (PM2.5) and acute lower respiratory infection (ALRI) in children, their results were inconsistent Therefore, we aimed to evaluate the association between short-term exposure to PM2.5 and ALRI hospitalizations in children (0–5 years) living in seven metropolitan cities of Korea. The ALRI hospitalization data of children living in seven metropolitan cities of Korea from 2008 to 2016 was acquired from a customized database constructed based on National Health Insurance data. The time-series data in a generalized additive model were used to evaluate the relationship between ALRI hospitalization and 7-day moving average PM2.5 exposure after adjusting for apparent temperature, day of the week, and time trends. We performed a meta-analysis using a two-stage design method. The estimates for each city were pooled to generate an average estimate of the associations. The average PM2.5 concentration in 7 metropolitan cities was 29.0 μg/m3 and a total of 713,588 ALRI hospitalizations were observed during the 9-year study period. A strong linear association was observed between PM2.5 and ALRI hospitalization. A 10 μg/m3 increase in the 7-day moving average of PM2.5 was associated with a 1.20% (95% CI: 0.71, 1.71) increase in ALRI hospitalization. While we found similar estimates in a stratified analysis by sex, we observed stronger estimates of the association in the warm season (1.71%, 95% CI: 0.94, 2.48) compared to the cold season (0.31%, 95% CI: −0.51, 1.13). In the two-pollutant models, the PM2.5 effect adjusted by SO2 was attenuated more than in the single pollutant model. Our results suggest a positive association between PM2.5 exposure and ALRI hospitalizations in Korean children, particularly in the warm season. The children need to refrain from going out on days when PM2.5 is high.