Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (236,522)

Search Parameters:
Keywords = SOS response

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 830 KB  
Article
External Costs of Road Traffic Accidents in Türkiye: The Willingness-to-Pay Method
by Rahmi Topcu and Emine Coruh
Sustainability 2025, 17(21), 9514; https://doi.org/10.3390/su17219514 (registering DOI) - 25 Oct 2025
Abstract
Traffic accidents remain a major global burden, causing mortality, disability, and socio-economic losses that hinder sustainable development. Beyond human suffering, crashes place long-term pressures on health systems, labor markets, and national economies, disproportionately impacting low- and middle-income countries. Estimating the true societal costs [...] Read more.
Traffic accidents remain a major global burden, causing mortality, disability, and socio-economic losses that hinder sustainable development. Beyond human suffering, crashes place long-term pressures on health systems, labor markets, and national economies, disproportionately impacting low- and middle-income countries. Estimating the true societal costs of accidents is therefore essential for designing effective, equitable, and sustainable road safety policies. This study applies the Willingness-to-Pay (WTP) method to evaluate the external costs of traffic-related deaths and injuries in Türkiye between 2008 and 2018. By incorporating material and immaterial losses, the WTP framework captures a broader spectrum of impacts than traditional approaches, offering valuable insights into the scale of welfare losses and the value of risk reduction. The findings reveal that external costs rose substantially over the decade, from 1.63% to 2.72% of national Gross Domestic Product (GDP), underscoring that economic losses from road crashes are growing faster than the economy. These results highlight the need for systematic interventions that integrate road safety into national sustainability agendas, including safer infrastructure, behavioral programs, advanced vehicle technologies, and efficient emergency response systems. The evidence presented strengthens the case for prioritizing traffic safety as a fundamental component of sustainable transport and public health strategies. Full article
12 pages, 643 KB  
Article
Cheese Consumption and Incidence of Dementia in Community-Dwelling Older Japanese Adults: The JAGES 2019–2022 Cohort Study
by Seungwon Jeong, Takao Suzuki, Yusuke Inoue, Eunji Bang, Kentaro Nakamura, Mayuki Sasaki and Katsunori Kondo
Nutrients 2025, 17(21), 3363; https://doi.org/10.3390/nu17213363 (registering DOI) - 25 Oct 2025
Abstract
Background/Objectives: Dementia is a growing public health concern in rapidly aging Japan. Dietary factors, including dairy products, have been proposed as modifiable influences on cognitive health, although findings across studies remain inconsistent. This study aimed to examine the association between habitual cheese consumption [...] Read more.
Background/Objectives: Dementia is a growing public health concern in rapidly aging Japan. Dietary factors, including dairy products, have been proposed as modifiable influences on cognitive health, although findings across studies remain inconsistent. This study aimed to examine the association between habitual cheese consumption and incident dementia in a large, population-based cohort of older Japanese adults, and to provide epidemiological evidence regarding its potential preventive role in populations with low baseline dairy intake. Methods: We analyzed data from the Japan Gerontological Evaluation Study (JAGES) 2019–2022 cohort, linking survey responses to long-term care insurance (LTCI) certification records. Participants aged ≥65 years without prior LTCI certification were included. Cheese consumption was assessed at baseline and categorized as ≥1 time/week vs. non-consumers. Propensity score matching (PSM) was applied on sociodemographic and health-related covariates. Cox proportional hazards models estimated hazard ratios (HRs) for incident dementia over three years. Results: After PSM, 7914 participants were analyzed (3957 consumers; 3957 non-consumers). Baseline covariates were well-balanced. Over 3 years, 134 consumers (3.4%) and 176 non-consumers (4.5%) developed dementia, corresponding to an absolute risk difference of 1.06 percentage points. Cheese consumption was associated with a lower hazard of dementia (HR = 0.76, 95% CI 0.60–0.95, p = 0.015). Conclusions: Habitual cheese consumption (≥1 time/week) was modestly associated with a reduced 3-year incidence of dementia in older Japanese adults. While the absolute risk reduction was small, these findings are consistent with prior observational evidence linking dairy intake to cognitive health. Further research is warranted to clarify dose–response relationships, cheese subtypes, and underlying mechanisms. Full article
14 pages, 2082 KB  
Article
Medical Professionals’ Opinions of and Attitudes Toward Uterus Transplantation in Hungary
by Kata Szilvia Papp, Peter Szakaly, Szilard Kolumban, Kálmán András Kovács, Jozsef Bodis, Nelli Farkas, Gabor Fazekas and Balint Farkas
Clin. Pract. 2025, 15(11), 194; https://doi.org/10.3390/clinpract15110194 (registering DOI) - 25 Oct 2025
Abstract
Background: Uterus transplantation (UTx) is a proven treatment for individuals affected by absolute uterine factor infertility (AUFI) who desire biological motherhood. Despite the fact that over 130 procedures have been performed worldwide in the past decade, UTx remains relatively unfamiliar, even among [...] Read more.
Background: Uterus transplantation (UTx) is a proven treatment for individuals affected by absolute uterine factor infertility (AUFI) who desire biological motherhood. Despite the fact that over 130 procedures have been performed worldwide in the past decade, UTx remains relatively unfamiliar, even among healthcare professionals. This study aimed to identify knowledge gaps regarding and evaluate attitudes toward UTx among Hungarian obstetricians/gynecologists and transplantation providers, in anticipation of the first procedure to be performed in the country. Methods: A Microsoft Forms® questionnaire was distributed electronically among Hungarian medical professionals via e-mail, including members of the Hungarian Society of Obstetrics and Gynaecology and the Hungarian Transplantation Society. Additionally, participants of the “Update 2024” OB/GYN conference (held 28–29 November 2024, in Visegrád, Hungary) were invited to complete the survey through a QR code displayed during the event. Results: A total of 290 medical professionals completed the survey (response rate: 27.6%, 290/1050). Most of the respondents specialized in obstetrics and gynecology (81.7%, n = 237), with the remainder representing transplantation fields (18.3%, n = 53). Over half (56.6%, n = 161) reported they would recommend UTx to patients with AUFI, and 64.1% (n = 186) agreed that UTx should be available as a treatment option. The medical risks associated with the procedure were deemed acceptable for both living donors (58.0%, n = 168) and recipients (54.8%, n = 159). Conclusions: This is the first study to explore perceptions of UTx among Hungarian medical professionals. The findings suggest there is a generally favorable professional attitude toward its future clinical implementation. Full article
22 pages, 36240 KB  
Article
Research on the Sustainable Indicator System for Multi-Coal Seam Mining: A Case Study of the Buertai Coal Mine in China
by Tianshuo Qi, Hao Li, Zhiqin Kang, Dong Yang and Zhengjun Zhou
Sustainability 2025, 17(21), 9512; https://doi.org/10.3390/su17219512 (registering DOI) - 25 Oct 2025
Abstract
The extraction of multiple coal seams not only increases the risk of water inrush disasters in mines but also exacerbates the long-term depletion of groundwater, posing challenges for sustainable resource management in ecologically sensitive areas. This study utilizes the plastic damage–permeability coupling model [...] Read more.
The extraction of multiple coal seams not only increases the risk of water inrush disasters in mines but also exacerbates the long-term depletion of groundwater, posing challenges for sustainable resource management in ecologically sensitive areas. This study utilizes the plastic damage–permeability coupling model in Abaqus CAE to analyze the impact of coal seam thickness and pillar layout on the evolution of the plastic zone and groundwater loss in the Shen Dong mining area, specifically at the Buertai coal mine. The results indicate that coal seam thickness is a strong driving factor for aquifer depletion: the water inflow under a 10 m thick coal seam is 1.56 times that under a 4 m thick coal seam. In contrast, the optimized staggered pillar layout alters stress distribution and reduces the water inflow under deeper coal seams by approximately 38%, demonstrating excellent water-saving potential. To translate these findings into a sustainability framework, this study proposes three new indicators: the Groundwater Loss Index (GLI) to quantify depletion intensity, the Aquifer Protection Efficiency (APE) to assess protection benefits, and the Sustainability Trade-off Index (STI) to balance coal recovery, safety, and groundwater protection. These metrics establish a dual-objective optimization approach that ensures safe mining and the sustainability of the aquifer. This study provides practical benchmarks for environmental impact assessment and aligns with the global sustainable development agenda, particularly the United Nations Sustainable Development Goals concerning clean water (SDG 6), responsible consumption (SDG 12), and terrestrial ecosystems (SDG 15). By incorporating groundwater protection into the design of the Buertai coal mine, this study advances the transition of multi-seam mining at Buertai from disaster prevention to sustainability orientation. Full article
Show Figures

Figure 1

20 pages, 520 KB  
Article
QEEG-Guided rTMS in Pediatric ASD with Contextual Evidence on Home-Based tDCS: Within-Cohort Reanalysis and Narrative Contextualization
by Alptekin Aydin, Ali Yildirim and Ece Damla Duman
Children 2025, 12(11), 1453; https://doi.org/10.3390/children12111453 (registering DOI) - 25 Oct 2025
Abstract
Background: Autism Spectrum Disorder (ASD) affects ~1 in 36 children and is increasingly studied as a candidate for non-invasive neuromodulation. Two of the most widely applied modalities are quantitative EEG (QEEG)-guided repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), both [...] Read more.
Background: Autism Spectrum Disorder (ASD) affects ~1 in 36 children and is increasingly studied as a candidate for non-invasive neuromodulation. Two of the most widely applied modalities are quantitative EEG (QEEG)-guided repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), both targeting the dorsolateral prefrontal cortex (DLPFC). While both have shown promise, questions remain regarding their relative clinical profiles and scalability. Objective: To conduct a within-cohort reanalysis of QEEG-guided rTMS outcomes in paediatric ASD and to contextualise these findings alongside published reports of home-supervised tDCS. Methods: Individual participant data (n = 56, ages 6–17) from a prospective rTMS cohort were reanalysed, focusing on the Social Responsiveness Scale (SRS-2), Autism Diagnostic Observation Schedule (ADOS-2), Aberrant Behavior Checklist (ABC), Repetitive Behavior Scale–Revised (RBS-R), and QEEG biomarkers. Findings were then situated within a narrative synthesis of published paediatric tDCS trials, which consistently report caregiver-supervised feasibility but did not provide raw, baseline-adjusted data suitable for reanalysis. Results: rTMS was associated with large within-cohort improvements (Hedges’ g ≈ 1.0–1.6), including an 11-point reduction in SRS-2 T-scores, a 12-point reduction in ABC totals, and robust QEEG normalisation (β/γ suppression, α enhancement). Published tDCS studies report moderate, clinically meaningful improvements in social communication, executive functioning, and regulation (Cohen’s d ≈ 0.4–0.6), with excellent adherence and no serious adverse events. Conclusions: rTMS produced robust behavioural and neurophysiological improvements within its cohort, while published tDCS trials demonstrate moderate, feasible benefits in home settings. Because of incomplete baseline data and protocol differences, no direct statistical comparison was possible. These findings suggest complementary roles: rTMS as a high-intensity clinic-based intervention, and tDCS as a scalable, family-centred option. A stepped-care framework that combines both modalities should be considered hypothesis-generating only and requires validation in harmonised, randomised controlled trials. Full article
(This article belongs to the Section Pediatric Neurology & Neurodevelopmental Disorders)
30 pages, 4273 KB  
Article
Scalable Predictive Modeling for Hospitalization Prioritization: A Hybrid Batch–Streaming Approach
by Nisrine Berros, Youness Filaly, Fatna El Mendili and Younes El Bouzekri El Idrissi
Big Data Cogn. Comput. 2025, 9(11), 271; https://doi.org/10.3390/bdcc9110271 (registering DOI) - 25 Oct 2025
Abstract
Healthcare systems worldwide have faced unprecedented pressure during crises such as the COVID-19 pandemic, exposing limits in managing scarce hospital resources. Many predictive models remain static, unable to adapt to new variants, shifting conditions, or diverse patient populations. This work proposes a dynamic [...] Read more.
Healthcare systems worldwide have faced unprecedented pressure during crises such as the COVID-19 pandemic, exposing limits in managing scarce hospital resources. Many predictive models remain static, unable to adapt to new variants, shifting conditions, or diverse patient populations. This work proposes a dynamic prioritization framework that recalculates severity scores in batch mode when new factors appear and applies them instantly through a streaming pipeline to incoming patients. Unlike approaches focused only on fixed mortality or severity risks, our model integrates dual datasets (survivors and non-survivors) to refine feature selection and weighting, enhancing robustness. Built on a big data infrastructure (Spark/Databricks), it ensures scalability and responsiveness, even with millions of records. Experimental results confirm the effectiveness of this architecture: The artificial neural network (ANN) achieved 98.7% accuracy, with higher precision and recall than traditional models, while random forest and logistic regression also showed strong AUC values. Additional tests, including temporal validation and real-time latency simulation, demonstrated both stability over time and feasibility for deployment in near-real-world conditions. By combining adaptability, robustness, and scalability, the proposed framework offers a methodological contribution to healthcare analytics, supporting fair and effective hospitalization prioritization during pandemics and other public health emergencies. Full article
Show Figures

Figure 1

24 pages, 5353 KB  
Article
Chitosan Nanoformulations of Mycosporine-like Amino Acid (MAA)-Rich Extracts from Mazzaella laminarioides Effectively Protect Human Keratinocytes Against UVA Radiation Damage
by Osmán Vásquez, Braulio Contreras-Trigo, Eileen Castillo, Neriel Contreras, Jessica Lemus, Felipe A. Zuniga, Karina Oyarce, Dariela Núñez, Víctor Díaz-García and Patricio Oyarzún
Int. J. Mol. Sci. 2025, 26(21), 10394; https://doi.org/10.3390/ijms262110394 (registering DOI) - 25 Oct 2025
Abstract
Mycosporine-like amino acids (MAAs) are secondary metabolites of interest for the development of natural sunscreens, owing to their antioxidant activity and ultraviolet radiation (UVR)-absorbing properties. MAA-rich aqueous extracts obtained from the Chilean red alga Mazzaella laminarioides (locally known as luga cuchara) were analyzed [...] Read more.
Mycosporine-like amino acids (MAAs) are secondary metabolites of interest for the development of natural sunscreens, owing to their antioxidant activity and ultraviolet radiation (UVR)-absorbing properties. MAA-rich aqueous extracts obtained from the Chilean red alga Mazzaella laminarioides (locally known as luga cuchara) were analyzed by HPLC and loaded into chitosan nanoparticles (CSNPs), with an encapsulation efficiency of 90.1%. The resulting CS nanoformulations (CSNFs) were characterized by FTIR spectroscopy, DLS and TEM microscopy, confirming the presence of nanoparticles with a core diameter of 94 ± 11 nm and FTIR absorption bands accounting for CS functional groups. Pre-treatment of HaCaT keratinocytes with CSNFs conferred complete protection against low-to-moderate UVA doses (5, 10, 15, and 30 J/cm2). Remarkably, cells still retained a protection efficacy of 64.7% under lethal UVA exposure (60 J/cm2), with gene expression evidence suggesting the activation of a compensatory stress response to photo-oxidative damage. CSNFs were also capable of restoring cell viability in post-treatment experiments at UVA doses of 30 J/cm2 (100% cell viability) and 60 J/cm2 (~43% cell viability). This is the first demonstration that nanoencapsulation of an MAA-rich algal extract yields superior UVA photoprotection in human keratinocytes compared with non-encapsulated MAA-based formulations, contributing to the effort of developing eco-friendly sunscreens. Full article
Show Figures

Figure 1

17 pages, 5375 KB  
Article
Exogenous Nitric Oxide Promotes the Growth and Cadmium Accumulation of Alfalfa (Medicago sativa) Seedlings Under Cadmium Stress
by Yinping Chen, Yong Sun, Bo Cao, Maurice Ngabire, Yuzhi Lu, Qian Li and Qiaoling Yuan
Plants 2025, 14(21), 3264; https://doi.org/10.3390/plants14213264 (registering DOI) - 25 Oct 2025
Abstract
As an important bioactive signaling molecule, nitric oxide (NO) participates in the responses of plants to various environmental stresses. The aim of this study was to investigate the influence of exogenous NO on the growth and cadmium (Cd) accumulation of alfalfa (Medicago [...] Read more.
As an important bioactive signaling molecule, nitric oxide (NO) participates in the responses of plants to various environmental stresses. The aim of this study was to investigate the influence of exogenous NO on the growth and cadmium (Cd) accumulation of alfalfa (Medicago sativa) during early growth. The results showed that Cd significantly inhibited alfalfa seedling growth and induced membrane lipid peroxidation. Addition of sodium nitroprusside (SNP, as an NO donor) significantly promoted seedling growth and induced the mobilization of seed photosynthate reserves, leading to an increase in total soluble sugar (SS) and reducing sugar (RS) contents. Application of SNP mitigated membrane peroxidation damage caused by Cd stress by enhancing catalase (CAT), ascorbate peroxidase (APX), superoxide dismutase (SOD) and peroxidase (POD) activities in order to eliminate reactive oxygen species (ROS), thereby improving Cd resistance and increasing Cd accumulation in alfalfa. This promoting effect of SNP depended on its concentration; the most optimal SNP concentration to promote the growth and Cd absorption of alfalfa under Cd stress was found to be 200 µM. The fresh weight (FW), dry weight (DW) and Cd accumulation of seedlings treated with 200 µM SNP increased significantly by 23.10%, 30.32% and 82.50%, respectively, on the fifth day, compared with the Cd-only treatment. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
Show Figures

Figure 1

22 pages, 2344 KB  
Article
Probabilistic Assessment of Crop Yield Loss Under Drought and Global Warming in the Canadian Prairies
by Mohammad Zare, David Sauchyn, Amin Roshani and Zahra Noorisameleh
Agronomy 2025, 15(11), 2484; https://doi.org/10.3390/agronomy15112484 (registering DOI) - 25 Oct 2025
Abstract
This study assessed the vulnerability of canola, spring wheat, and barley yields in the Canadian Prairies to drought stress under future climate scenarios, integrating DSSAT crop models with NEX-GDDP CMIP6 projections and probabilistic copula analysis. The DSSAT simulations reproduced historical yields with high [...] Read more.
This study assessed the vulnerability of canola, spring wheat, and barley yields in the Canadian Prairies to drought stress under future climate scenarios, integrating DSSAT crop models with NEX-GDDP CMIP6 projections and probabilistic copula analysis. The DSSAT simulations reproduced historical yields with high accuracy (d > 0.7, nRMSE < 15–20%), confirming its applicability for Prairie agroecosystems. Results indicate distinct crop-specific sensitivities to warming: barley showed relative resilience with modest yield gains (~10%) at 1.5–2 °C of global warming (GW), wheat exhibited heterogeneous responses with early minor gains (~1%) followed by declines (~8%) beyond 3 °C of GW, and canola displayed consistent and substantial losses (20–37%) even under moderate warming. Spatial analysis highlighted relatively stable regions in northern Alberta, central Saskatchewan, and southern Manitoba (Gray and Black soil zones), while the southern and southwestern Prairie areas (Brown and Black-Brown zones) showed the greatest yield declines. Copula-based analysis further revealed that canola is most vulnerable to dry conditions, with yield exceedance probabilities falling from 62% (wet years) to ~25–28% (dry years) under GW. These findings underscore that Prairie crop production faces increasingly heterogeneous risks, with canola emerging as the most climate-sensitive crop. Targeted adaptation strategies such as stress-tolerant cultivars, shifting cropping zones, and improved water management will be essential to mitigate projected drought impacts and sustain Prairie agricultural productivity. Full article
(This article belongs to the Special Issue Agroclimatology and Crop Production: Adapting to Climate Change)
16 pages, 312 KB  
Article
Exploring the Association of Vitamin D and VDR Polymorphisms with Disease Severity in COVID-19 and Influenza
by Alexandru Constantin Sîrbu, Ioana Corina Bocșan, Octavia Sabin, Raluca Maria Pop, Ștefan Cristian Vesa, Gavriela Feketea, Violeta Briciu, Mihaela Lupșe and Anca Dana Buzoianu
Biomedicines 2025, 13(11), 2617; https://doi.org/10.3390/biomedicines13112617 (registering DOI) - 25 Oct 2025
Abstract
Background: Respiratory viral infections such as COVID-19 and influenza represent significant public health threats, especially in vulnerable populations. Vitamin D has been promoted as an immunomodulatory agent, with previous studies suggesting an association between vitamin D levels and disease severity in respiratory [...] Read more.
Background: Respiratory viral infections such as COVID-19 and influenza represent significant public health threats, especially in vulnerable populations. Vitamin D has been promoted as an immunomodulatory agent, with previous studies suggesting an association between vitamin D levels and disease severity in respiratory infections. Additionally, genetic variations in the vitamin D receptor (VDR) may influence immune responses. Methods: This study investigates the relationship between vitamin D levels, VDR polymorphisms (rs1544410, rs731236, and rs7975232), and clinical severity in hospitalized patients with COVID-19 and influenza during the 2023–2024 winter season. Results: A total of 71 patients were included in this cross-sectional study. Vitamin D levels were significantly lower in severe COVID-19 cases (8.08 ng/mL, IQR: 4.79–15.7) compared to moderate forms (32.6 ng/mL, IQR: 13.0–38.6), as well as severe influenza cases (25.6 ng/mL, IQR: 18.9–34.5). Additionally, severe COVID-19 patients exhibited higher inflammatory markers (CRP, neutrophil count) and lower lymphocyte counts. However, no significant association was found between VDR polymorphisms and disease severity or vitamin D levels. Conclusions: These findings highlight the potential role of vitamin D in modulating disease severity in respiratory viral infections, while the influence of genetic polymorphisms remains uncertain. Further research is needed to determine whether vitamin D supplementation could improve clinical outcomes in these infections. Full article
(This article belongs to the Special Issue Vitamin D: Latest Scientific Discoveries in Health and Disease)
22 pages, 11428 KB  
Article
Cold Atmospheric Plasma Selectively Targets Neuroblastoma: Mechanistic Insights and In Vivo Validation
by Ligi Milesh, Bindu Nair, Ha M. Nguyen, Taylor Aiken, J. Leon Shohet and Hau D. Le
Cancers 2025, 17(21), 3432; https://doi.org/10.3390/cancers17213432 (registering DOI) - 25 Oct 2025
Abstract
Background: Neuroblastoma (NB) presents significant challenges in pediatric oncology, particularly in high-risk cases where local recurrence occurs in ~35% of patients. Cold Atmospheric Plasma (CAP) has emerged as a promising treatment due to its selective cytotoxicity toward cancer cells while sparing normal cells. [...] Read more.
Background: Neuroblastoma (NB) presents significant challenges in pediatric oncology, particularly in high-risk cases where local recurrence occurs in ~35% of patients. Cold Atmospheric Plasma (CAP) has emerged as a promising treatment due to its selective cytotoxicity toward cancer cells while sparing normal cells. Methods: This study assessed CAP efficacy using in vitro NB cell lines (SK-N-AS and LAN-5) and in vivo xenograft murine models. In vitro, CAP was applied via a helium jet, and cellular responses were evaluated for viability, reactive oxygen species (ROS), lipid peroxidation, DNA damage, and cell cycle, while apoptosis was measured by Annexin V/PI flow cytometry. In vivo, CAP was applied to unresected tumors and residual tumors after incomplete resection. Tumor regrowth was monitored, and histological analysis was performed. Results: CAP reduced NB cell viability in a dose- and time-dependent manner by increasing intracellular ROS and lipid peroxidation. CAP-treated NB cells showed a 50% rise in oxidative DNA damage, a two-fold increase in apoptosis, and alterations in cell-cycle progression, while normal fibroblasts showed modest effects. CAP predominantly induced apoptosis, though secondary necrosis appeared with prolonged exposures, consistent with caspase-3 and PARP pathways. In xenografts, CAP reduced tumor diameter by 60% and increased caspase-3-positive cells, with minimal effects on normal tissue. Conclusions: CAP demonstrates strong therapeutic potential as a targeted, non-invasive NB treatment, particularly for residual tumors near vascular structures with consistent exposure times (60–300 s). Full article
(This article belongs to the Section Methods and Technologies Development)
Show Figures

Figure 1

23 pages, 1742 KB  
Article
Towards Resilient Re-Routing Procedures in Ports: Combining Sociotechnical Systems and STAMP
by Ross O. Phillips, Ben Rutten and Samaneh Rezvani
Systems 2025, 13(11), 950; https://doi.org/10.3390/systems13110950 (registering DOI) - 25 Oct 2025
Abstract
Truck congestion around international ports poses persistent challenges for safety, efficiency, environmental performance, and accessibility, particularly during container terminal disruptions when long queues of trucks accumulate. Traditional responses often address isolated components of the problem and fail to capture the interdependencies of sociotechnical [...] Read more.
Truck congestion around international ports poses persistent challenges for safety, efficiency, environmental performance, and accessibility, particularly during container terminal disruptions when long queues of trucks accumulate. Traditional responses often address isolated components of the problem and fail to capture the interdependencies of sociotechnical systems, where multiple actors pursue partly conflicting goals. This study explores the usefulness of combining Sociotechnical Systems (STS) principles with the Systems-Theoretic Accident Model and Processes (STAMP) to analyze such complexity more holistically. Using the case of truck re-routing procedures during terminal closures at the Port of Rotterdam, structured interviews and document analyses were used to apply parallel STS and System-Theoretic Process Analyses (STPA). The STS analysis identified misalignments among procedures, actor intentions, infrastructure, and communication practices, clarifying why diversion protocols often fail in practice. The STPA complemented this diagnosis by modeling control relationships and feedback loops, identifying 92 unsafe control actions and 407 loss scenarios that informed 16 design recommendations. Together, the two approaches demonstrate how sociotechnical and control-theoretic perspectives can be combined to generate both diagnostic and prescriptive insights. The study highlights the potential of a combined STS–STPA framework as a transferable analytical tool for understanding and redesigning complex transport systems. Full article
(This article belongs to the Special Issue Scheduling and Optimization in Production and Transportation Systems)
Show Figures

Figure 1

22 pages, 8072 KB  
Article
Enhanced Dynamic Obstacle Avoidance for UAVs Using Event Camera and Ego-Motion Compensation
by Bahar Ahmadi and Guangjun Liu
Drones 2025, 9(11), 745; https://doi.org/10.3390/drones9110745 (registering DOI) - 25 Oct 2025
Abstract
To navigate dynamic environments safely, UAVs require accurate, real time onboard perception, which relies on ego motion compensation to separate self-induced motion from external dynamics and enable reliable obstacle detection. Traditional ego-motion compensation techniques are mainly based on optimization processes and may be [...] Read more.
To navigate dynamic environments safely, UAVs require accurate, real time onboard perception, which relies on ego motion compensation to separate self-induced motion from external dynamics and enable reliable obstacle detection. Traditional ego-motion compensation techniques are mainly based on optimization processes and may be computationally expensive for real-time applications or lack the precision needed to handle both rotational and translational movements, leading to issues such as misidentifying static elements as dynamic obstacles and generating false positives. In this paper, we propose a novel approach that integrates an event camera-based perception pipeline with an ego-motion compensation algorithm to accurately compensate for both rotational and translational UAV motion. An enhanced warping function, integrating IMU and depth data, is constructed to compensate camera motion based on real-time IMU data to remove ego motion from the asynchronous event stream, enhancing detection accuracy by reducing false positives and missed detections. On the compensated event stream, dynamic obstacles are detected by applying a motion aware adaptive threshold to the normalized mean timestamp image, with the threshold derived from the image’s spatial mean and standard deviation and adjusted by the UAV’s angular and linear velocities. Furthermore, in conjunction with a 3D Artificial Potential Field (APF) for obstacle avoidance, the proposed approach generates smooth, collision-free paths, addressing local minima issues through a rotational force component to ensure efficient UAV navigation in dynamic environments. The effectiveness of the proposed approach is validated through simulations, and its application for UAV navigation, safety, and efficiency in environments such as warehouses is demonstrated, where real-time response and precise obstacle avoidance are essential. Full article
Show Figures

Figure 1

14 pages, 1836 KB  
Article
A Novel Surface Plasmon Resonance Imaging (SPRi) Biosensor for the Determination of Bovine Interleukin-10: Development, Validation, and Application in Biological Fluids
by Aleksandra Pytel, Dawid Tobolski, Piotr Skup, Justyna Gargaś, Sylwia Flis, Zdzisław Gajewski, Ewa Gorodkiewicz and Krzysztof Papis
Int. J. Mol. Sci. 2025, 26(21), 10395; https://doi.org/10.3390/ijms262110395 (registering DOI) - 25 Oct 2025
Abstract
Interleukin-10 (IL-10) is a pleiotropic cytokine that is pivotal in regulating the immune response. Its involvement in the pathophysiology of bovine diseases and its potential influence on oocyte developmental competence make it an important target for diagnostics and research. This study aimed to [...] Read more.
Interleukin-10 (IL-10) is a pleiotropic cytokine that is pivotal in regulating the immune response. Its involvement in the pathophysiology of bovine diseases and its potential influence on oocyte developmental competence make it an important target for diagnostics and research. This study aimed to develop and validate a novel, rapid, and sensitive analytical tool for its quantification. A specific biosensor based on Surface Plasmon Resonance Imaging (SPRi) was developed for the precise quantification of bovine IL-10, utilizing a polyclonal rabbit antibody immobilized on a gold chip for direct capture from complex biological matrices. The method was validated for its analytical performance, including linearity, sensitivity, precision, and selectivity. The developed method is characterized by a wide diagnostic range (1–1000 pg/mL) and high sensitivity, with a limit of detection (LOD) of 0.45 pg/mL and a limit of quantification (LOQ) of 1.49 pg/mL. The biosensor was successfully applied to measure IL-10 concentrations in bovine serum and follicular fluid, revealing significantly higher levels in follicular fluid. The validated SPRi biosensor is a rapid, sensitive, and cost-effective tool for determining IL-10 levels. Its successful application confirms its utility for veterinary diagnostics and highlights its potential for research in reproductive biology, particularly for assessing the follicular microenvironment. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
Show Figures

Figure 1

18 pages, 2266 KB  
Article
Anti-Hyperpigmentation-Related Potential Activities in B16BL6 Cells and Chemical Composition of Essential Oil from Chamaecyparis pisifera Leaves
by Do Yoon Kim, Kyung Jong Won, Yoon Yi Kim, Da Yeon Yoo and Hwan Myung Lee
Pharmaceutics 2025, 17(11), 1386; https://doi.org/10.3390/pharmaceutics17111386 (registering DOI) - 25 Oct 2025
Abstract
Background/Objectives: Chamaecyparis pisifera (C. pisifera; family Cupressaceae) is known to have insecticidal and antibacterial activities, but its effects on skin depigmentation-related activities have not been elucidated. Thus, in the present study, we aimed to investigate the anti-hyperpigmentation potential of C. [...] Read more.
Background/Objectives: Chamaecyparis pisifera (C. pisifera; family Cupressaceae) is known to have insecticidal and antibacterial activities, but its effects on skin depigmentation-related activities have not been elucidated. Thus, in the present study, we aimed to investigate the anti-hyperpigmentation potential of C. pisifera var. filifera leaf essential oil (CPEO), specially focusing on responses related to melanogenesis and melanin transport, using B16BL6 cells. Methods: CPEO was extracted by steam distillation, and its composition was determined by GC/MS spectrometry. The biological activities of CPEO on B16BL6 melanoma cells were analyzed using the water soluble tetrazolium salt, BrdU incorporation, ELISA, and immunoblotting assays. Results: Twenty-eight components were identified in CPEO. CPEO was noncytotoxic to B16BL6 cells at 1–100 μg/mL and reduced serum-induced proliferation in B16BL6 cells. CPEO significantly inhibited α-MSH-stimulated increases in melanin synthesis and tyrosinase activity in the cells (e.g., at 100 μg/mL CPEO, melanin synthesis: 117.89 ± 0.00% vs. 571.94 ± 0.81% with α-MSH; tyrosinase activity: 73.62 ± 0.00% vs. 322.60 ± 3.10% with α-MSH). CPEO also downregulated the expression levels of melanogenesis-related proteins (MITF, tyrosinase, TRP-1 and -2) and melanosome transport-related proteins (Rab27a, melanophilin, myosin Va) in cells exposed to α-MSH. Moreover, the essential oil increased the phosphorylations of MAPKs (p38, ERK1/2, and JNK) in α-MSH-treated B16BL6 cells. In addition, CPEO reduced the ultraviolet A (UVA) induced increases in α-MSH levels in HaCaT cells. In addition, conditioned medium from HaCaT cells irradiated with UVA (CM-UVA) in the presence of CPEO reduced melanin synthesis and tyrosinase activity in B16BL6 cells (e.g., at CM-UVA with 100 μg/mL CPEO, melanin synthesis: 100.92 ± 0.99% vs. 134.44 ± 0.97% with CM-UVA; tyrosinase activity: 101.02 ± 1.81% vs. 133.77 ± 1.88% with CM-UVA). Conclusions: These findings suggest that CPEO inhibits melanin production (probably through the regulation of MAPKs) and transport-related activities in B16BL6 cells, and that CPEO may serve as a potential natural anti-hyperpigmentation or skin whitening. Full article
(This article belongs to the Section Drug Targeting and Design)
Show Figures

Graphical abstract

Back to TopTop