Explore the vast range of titles available.

3-O-Methyl-D-chiro-inositol (pinitol) has been reported to possess insulin-like effects and is known as one of the anti-diabetic agents for improving muscle and liver function. However, the beneficial effects of pinitol on human dermal microvascular endothelial cells (HDMECs) are not well understood. In this study, we investigated whether pinitol could protect HDMECs from damage induced by lipopolysaccharides (LPSs), which cause various cell defects. We observed that pinitol enhanced wound healing for LPS-damaged HDMECs. We found that pinitol significantly downregulated the LPS-induced upregulation of reactive oxygen species (ROS). Pinitol also significantly restored the mitochondrial membrane potential in these cells. Immunofluorescence analysis revealed that pinitol notably reduced the nuclear localization of NF-κB in LPS-damaged HDMECs. Furthermore, we demonstrated that pinitol decreased the phosphorylation levels of the MAPK family in LPS-damaged HDMECs. Interestingly, we observed that pinitol improved tube formation in LPS-damaged HDMECs. Taken together, we suggest that pinitol exerts several beneficial effects on LPS-damaged HDMECs and may be a promising therapeutic agent for improving vascular-related skin diseases.

This study examines the security implications of generative artificial intelligence (GAI), focusing on models such as ChatGPT. As GAI technologies are increasingly integrated into industries like healthcare, education, and media, concerns are growing regarding security vulnerabilities, ethical challenges, and potential for misuse. This study not only synthesizes existing research but also conducts an original scientometric analysis using text mining techniques. To address these concerns, this research analyzes 1047 peer-reviewed academic articles from the SCOPUS database using scientometric methods, including Term Frequency–Inverse Document Frequency (TF-IDF) analysis, keyword centrality analysis, and Latent Dirichlet Allocation (LDA) topic modeling. The results highlight significant contributions from countries such as the United States, China, and India, with leading institutions like the Chinese Academy of Sciences and the National University of Singapore driving research on GAI security. In the keyword centrality analysis, “ChatGPT” emerged as a highly central term, reflecting its prominence in the research discourse. However, despite its frequent mention, “ChatGPT” showed lower proximity centrality than terms like “model” and “AI”. This suggests that while ChatGPT is broadly associated with other key themes, it has a less direct connection to specific research subfields. Topic modeling identified six major themes, including AI and security in education, language models, data processing, and risk management. The analysis emphasizes the need for robust security frameworks to address technical vulnerabilities, ensure ethical responsibility, and manage risks in the safe deployment of AI systems. These frameworks must incorporate not only technical solutions but also ethical accountability, regulatory compliance, and continuous risk management. This study underscores the importance of interdisciplinary research that integrates technical, legal, and ethical perspectives to ensure the responsible and secure deployment of GAI technologies.

Diabetic foot ulcers represent a severe complication of diabetes, often resulting in amputation and high mortality rates. Currently, there are no treatments for diabetic foot ulcers other than antibiotics and dressings. In this study, we evaluated the wound-healing effects of an antidiabetic agent pinitol in lipopolysaccharide (LPS)-damaged human dermal fibroblasts (HDFs) and streptozotocin (STZ)-induced diabetic rat models with a foot wound. Our findings indicated that pinitol enhanced cell migration, proliferation, and wound healing by activating Nrf2, thereby mitigating oxidative stress and inflammatory responses at the wound site. Additionally, pinitol restored mitochondrial energy metabolism, decreased matrix metalloproteinase (MMP) activity, and increased collagen deposition. Furthermore, pinitol facilitated angiogenesis, contributing to improved wound healing. Taken together, these findings suggest that pinitol could be a promising therapeutic agent for the treatment of diabetic foot ulcers.

Bridge inspection methods using unmanned vehicles have been attracting attention. In this study, we devised an efficient and reliable method for visually inspecting bridges using unmanned vehicles. For this purpose, we developed the BIRD U-Net algorithm, which is an evolution of the U-Net algorithm that utilizes images taken by unmanned vehicles. Unlike the U-Net algorithm, however, this algorithm identifies the optimal function by setting the epoch to 120 and uses the Adam optimization algorithm. In addition, a bilateral filter was applied to highlight the damaged areas of the bridge, and a different color was used for each of the five types of abnormalities detected, such as cracks. Next, we trained and tested 135,696 images of exterior bridge damage, including concrete delamination, water leakage, and exposed rebar. Through the analysis, we confirmed an analysis method that yields an average inspection reproduction rate of more than 95%. In addition, we compared and analyzed the inspection reproduction rate of the method with that of BIRD U-Net after using the same method and images for training as the existing U-Net and ResNet algorithms for validation. In addition, the algorithm developed in this study is expected to yield objective results through automatic damage analysis. It can be applied to regular inspections that involve unmanned mobile vehicles in the field of bridge maintenance, thereby reducing the associated time and cost.

Prostaglandin D2 (PGD2) levels are high in the balding areas of human scalps, and PGD2 has been found to inhibit hair growth. It is known that the inhibition of the PGD2 receptor can promote hair growth by preventing hair follicles from entering the catagen phase. Thus, we identified an antagonist of DP2, the receptor for PGD2, as a potential treatment for hair loss using an AI-based DeepZema® drug development program. In this study, we identified that the DP2 antagonist (DP2A) could ameliorate alopecia in human follicle dermal papilla cells (HFDPCs) that were stimulated by dihydrotestosterone (DHT), a known molecule related to hair loss. We observed that the DP2A promoted wound healing efficiency and increased alkaline phosphatase levels in the HFDPCs that were damaged with DHT. In addition, we found that the DP2A diminished the reactive oxygen species (ROS) levels generated in the DHT-damaged HFDPCs. We confirmed that the DP2A effectively recovered the membrane potential of mitochondria in these cells. We also demonstrated that the DP2A enhanced the phosphorylation levels of both Akt and ERK in the HFDPCs that were damaged with DHT. Notably, we revealed that the DP2A slightly enlarged the three-dimensional spheroid size in these cells and confirmed that the DP2A improved hair growth in the organ culture of human hair follicles. Taken together, we suggest that DP2A has therapeutic effects on HFDPCs that are damaged by DHT and holds promise as a potential treatment for treating hair loss.

Hair loss is often associated with oxidative stress and mitochondrial dysfunction in human follicle dermal papilla cells (HFDPCs), resulting in impaired cellular function and follicle degeneration. Thus, many studies have been conducted on natural plants aimed at inhibiting hair loss. This study investigated the therapeutic potential of exosomes derived from the rhizomes of Iris germanica L. (Iris-exosomes) in HFDPCs damaged by dihydrotestosterone (DHT). Iris-exosomes significantly reduced reactive oxygen species (ROS) levels, restoring mitochondrial membrane potential and ATP production, thereby mitigating oxidative stress and improving mitochondrial function. These effects occurred alongside enhanced cellular processes critical for hair follicle regeneration, including increased cell migration, alkaline phosphatase (ALP) activity, and three-dimensional (3D) spheroid formation, which replicates the follicle-like microenvironment and promotes inductive potential. Furthermore, Iris-exosomes stimulated the Wnt/β-catenin signaling pathway by enhancing glycogen synthase kinase-3β (GSK-3β), AKT, and extracellular signal-regulated kinase (ERK), leading to β-catenin stabilization and nuclear translocation, thereby supporting the expression of genes essential for hair growth. Taken together, these findings suggest that Iris-exosomes can be promising ingredients for alleviating hair loss.

Prostaglandin E2 (PGE2) is known to be effective in regenerating tissues, and bimatoprost, an analog of PGF2α, has been approved by the FDA as an eyelash growth promoter and has been proven effective in human hair follicles. Thus, to enhance PGE2 levels while improving hair loss, we found dihydroisoquinolinone piperidinylcarboxy pyrazolopyridine (DPP), an inhibitor of 15-hydroxyprostaglandin dehydrogenase (15-PGDH), using DeepZema®, an AI-based drug development program. Here, we investigated whether DPP improved hair loss in human follicle dermal papilla cells (HFDPCs) damaged by dihydrotestosterone (DHT), which causes hair loss. We found that DPP enhanced wound healing and the expression level of alkaline phosphatase in DHT-damaged HFDPCs. We observed that DPP significantly down-regulated the generation of reactive oxygen species caused by DHT. DPP recovered the mitochondrial membrane potential in DHT-damaged HFDPCs. We demonstrated that DPP significantly increased the phosphorylation levels of the AKT/ERK and activated Wnt signaling pathways in DHT-damaged HFDPCs. We also revealed that DPP significantly enhanced the size of the three-dimensional spheroid in DHT-damaged HFDPCs and increased hair growth in ex vivo human hair follicle organ culture. These data suggest that DPP exhibits beneficial effects on DHT-damaged HFDPCs and can be utilized as a promising agent for improving hair loss.

The growing adoption of electric propulsion systems in Maritime Autonomous Surface Ships (MASSs) necessitates advancements in shipboard electronics for safe, efficient, and reliable operation. These advancements are crucial for tasks such as real-time sensor data processing, control algorithms for autonomous navigation, and robust decision-making capabilities. This study investigates research trends in MASSs, using bibliographic analysis to identify policy and future research directions in this evolving field. We analyze 3363 MASS-related articles from the Web of Science database, employing co-occurrence word analysis and latent Dirichlet allocation (LDA) topic modeling. The findings reveal a rapidly growing field dominated by image recognition research. Keywords such as “datum”, “image”, and “detection” suggest a focus on collecting and analyzing marine data, particularly with deep learning for synthetic aperture radar imagery. LDA confirms this, with “image analysis and classification research” as the leading topic. The study also identifies national and organizational leaders in MASS research. However, research on Arctic routes lags behind that on other areas. This work provides valuable insights for policymakers and researchers, promoting a deeper understanding of MASSs and informing future policy and research agendas regarding the integration of electric propulsion systems within the maritime industry.

As the global fitness industry rapidly digitalizes, home fitness applications have emerged as a convenient solution for people to exercise anytime, anywhere. This study investigated the mediation effect of exercise satisfaction on the relationship between content characteristics and continuance intention to use home fitness applications. This study provided guidance for developing effective home fitness applications by analyzing which content characteristics can increase the continuance intention to use home fitness applications. The mediation effect of exercise satisfaction on content characteristics and continuance intention to use was examined using a structural equation model analysis, and 330 survey responses from individuals who have used home fitness applications for exercise were analyzed. The results confirmed that the enhancement of the content characteristics exerted a positive effect on exercise satisfaction and continuance intention to use. Additionally, the enhancement of exercise satisfaction characteristics positively affected the continuance intention to use. Further, exercise satisfaction was observed to exert a significant mediating effect on the relationship between the content characteristics and continuance intention to use home fitness applications. These findings suggest that it is essential to devote significant attention to enhancing content characteristics and exercise satisfaction in the development of home fitness applications.

Background/Objectives: The skin, being the body’s outermost organ, plays a vital role in protecting against various external stimuli. Ultraviolet generates reactive oxygen species (ROS), promoting the secretion of matrix metalloproteinases (MMPs) and inducing collagen degradation. Many studies have been conducted to identify natural substances that can prevent or delay the harmful effects of UV. Methods: A wound healing assay, DCF-DA reactive oxygen species (ROS) assay, and JC-1 assay were performed to assess the effects of bio-converted eggplant peels (BEPs) on human dermal fibroblasts (HDFs). Western blot analysis was also conducted to understand the underlying mechanisms for their effects. Finally, hematoxylin–eosin staining and immunohistochemistry were also performed in animal studies. Results: Our study evaluated the antioxidant efficacy of BEPs fermented with Lactobacillus plantarum in hydrogen peroxide (H2O2)-HDFs and UVB-induced skin damage in hairless mice. We demonstrated that BEPs exhibited enhanced antioxidant properties compared to non-fermented eggplant peels (EPs). BEPs facilitated wound healing in H2O2-damaged HDFs, reduced ROS levels, and restored mitochondrial membrane potential. BEPs suppressed the phosphorylation of ERK, p38, and JNK as their underlying mechanism. We further demonstrated that dietary supplementation of BEPs also downregulated matrix metalloproteinase 1 (MMP1) expression and upregulated collagen I (COL1) in UVB-damaged hairless mice, indicating that BEPs were more effective compared to EPs. Conclusions: Our studies suggest that BEPs fermented with Lactobacillus plantarum hold significant potential as a protective agent for mitigating UVB-induced damage and promoting skin health.