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24 pages, 1649 KB

Open AccessArticle

Normative Data for a Multi-Domain Concussion Assessment in the Female Community Sport of Ladies Gaelic Football

by Róisín Leahy, Keith D. Rochfort, Enda Whyte, Anthony P. Kontos, Michael W. Collins and Siobhán O'Connor

Sports 2025, 13(11), 405; https://doi.org/10.3390/sports13110405 (registering DOI) - 12 Nov 2025

Abstract

Due to the highly individualised presentation of sport-related concussion (SRC), multi-domain assessments examining cognitive, migraine, vestibular, ocular, mood, sleep, and neck-related function have been suggested to assist clinicians with diagnosis, management, and rehabilitation. Normative data on such assessments for female, community players from [...] Read more.

Due to the highly individualised presentation of sport-related concussion (SRC), multi-domain assessments examining cognitive, migraine, vestibular, ocular, mood, sleep, and neck-related function have been suggested to assist clinicians with diagnosis, management, and rehabilitation. Normative data on such assessments for female, community players from countries outside the U.S. are needed. This study aimed to (i) describe normative data from community-level Ladies Gaelic Football players using a multi-domain assessment, and (ii) compare findings between adolescent and adult players. A total of 138 LGF players without SRC (101 adults, 37 adolescents) completed a multi-domain SRC assessment including Sport Concussion Assessment Tool 5th Edition, Concussion Clinical Profiles Screening, Vestibular/Ocular Motor Screening (VOMS), Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT^®), Patient Health Questionnaire-9, Generalised Anxiety Disorder-7, Pittsburgh Sleep Quality Index, Migraine Disability Assessment, and Neck Bournemouth Questionnaire, and neck dynamometry. Normative data were summarised using descriptive statistics, while differences in test scores between adolescents and adults were examined using parametric or non-parametric tests. While adolescents and adults scored similarly on most measures, adolescents scored worse on ImPACT^® visual–motor speed (d = 0.09) and reaction time (r = 0.52), SCAT5 concentration (V = 0.38), total modified Balance Error Scoring System (r = 0.42), and CP Screen vestibular profile (r = 0.38) (p < 0.05). This is the first study to describe and compare normative data for multidomain SRC assessments in adolescent and adult female, community athletes. Differences in some tests between adolescents and adults highlight the need for demographic-specific normative data when interpreting post-SRC assessment results. Full article

(This article belongs to the Special Issue Sport-Related Concussion and Head Impact in Athletes)

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23 pages, 32401 KB

Open AccessArticle

An Integrated Rule-Based and Deep Learning Method for Automobile License Plate Image Generation with Enhanced Geometric and Radiometric Details

by Yuanrui Dong, Zhe Peng, Wende Liu and Haiyong Gan

Appl. Sci. 2025, 15(22), 11990; https://doi.org/10.3390/app152211990 (registering DOI) - 12 Nov 2025

Abstract

Automobile license plate image generation represents a pivotal technology for the development of intelligent transportation systems. However, existing methods are constrained by their inability to simultaneously preserve geometric structure and radiometric properties of both license plates and characters. To overcome this limitation, we [...] Read more.

Automobile license plate image generation represents a pivotal technology for the development of intelligent transportation systems. However, existing methods are constrained by their inability to simultaneously preserve geometric structure and radiometric properties of both license plates and characters. To overcome this limitation, we propose a novel framework for generating geometrically and radiometrically consistent license plate images. The proposed radiometric enhancement framework integrates two specialized modules, which are precise geometric rectification and radiometric property learning. The precise geometric rectification module exploits the perspective transformation consistency between character regions and license plate boundaries. By employing a feature matching algorithm based on character endpoint correspondence, this module achieves precise plate rectification, thereby establishing a geometric foundation for maintaining character structural integrity in generated images. The radiometric property learning module implements a precise character inpainting strategy with fluctuation compensation inpainting to reconstruct background regions, followed by a character-wise style transfer approach to ensure both geometric and radiometric consistency with realistic automobile license plates. Furthermore, we introduce a physical validation and evaluation method to quantitatively assess image quality. Comprehensive evaluation on real-world datasets demonstrate that our method achieves superior performance, with a peak signal-to-noise ratio (PSNR) of 13.83 dB and a structural similarity index measure (SSIM) of 0.57, representing significant improvements over comparative methods in preserving both structural integrity and radiometric properties. This framework effectively enhances the visual fidelity and reliability of generated automobile license plate images, thereby providing high-quality data for intelligent transportation recognition systems while advancing license plate image generation technology. Full article

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18 pages, 442 KB

Open AccessReview

Translating Features to Findings: Deep Learning for Melanoma Subtype Prediction

by Dorra Guermazi, Sarina Khemchandani, Samer Wahood, Cuong Nguyen and Elie Saliba

Dermatopathology 2025, 12(4), 42; https://doi.org/10.3390/dermatopathology12040042 (registering DOI) - 12 Nov 2025

Abstract

Melanoma subtyping plays a vital role in histopathological diagnosis, informing prognosis and, in some cases, guiding targeted therapy. However, conventional histologic classification is constrained by inter-rater reliability, morphologic overlap, and the underrepresentation of rare subtypes. Deep learning (DL)—particularly convolutional neural networks (CNNs)—presents a [...] Read more.

Melanoma subtyping plays a vital role in histopathological diagnosis, informing prognosis and, in some cases, guiding targeted therapy. However, conventional histologic classification is constrained by inter-rater reliability, morphologic overlap, and the underrepresentation of rare subtypes. Deep learning (DL)—particularly convolutional neural networks (CNNs)—presents a compelling opportunity to enhance diagnostic precision and reproducibility through automated analysis of histopathologic slides. This review examines the clinical importance and diagnostic challenges of melanoma subtyping, outlines core DL methodologies in dermatopathology, and synthesizes current advances in applying DL to subtype classification. Pertinent limitations including dataset imbalance, a lack of interpretability, and domain generalizability are discussed. Additionally, emerging directions such as multimodal integration, synthetic data generation, federated learning, and explainable AI are highlighted as potential solutions. As these technologies mature, DL holds considerable promise in advancing melanoma diagnostics and supporting more personalized, accurate, and equitable patient care. Full article

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17 pages, 4366 KB

Open AccessArticle

Total Cloud Cover Variability over the Last 150 Years in Padua, Italy

by Claudio Stefanini, Francesca Becherini, Antonio della Valle, Fabio Zecchini and Dario Camuffo

Geographies 2025, 5(4), 67; https://doi.org/10.3390/geographies5040067 (registering DOI) - 12 Nov 2025

Abstract

Understanding long-term cloud cover variability is essential for assessing past climate dynamics and human influences on atmospheric conditions. In Padua, instrumental weather records (temperature, precipitation, pressure) and descriptive sky observations date back to 1725, but quantitative cloud cover data, expressed as tenths of [...] Read more.

Understanding long-term cloud cover variability is essential for assessing past climate dynamics and human influences on atmospheric conditions. In Padua, instrumental weather records (temperature, precipitation, pressure) and descriptive sky observations date back to 1725, but quantitative cloud cover data, expressed as tenths of the sky covered by clouds, began in 1872 at the Astronomical Observatory. From 1920 to 1989, observations continued under the authority of the Meteorological Observatory of the Water Magistrate, and from 1951 to 1990, additional records by the Italian Air Force expressed in eighths of sky are available. These visual datasets—based on multiple daily observations—are complemented by satellite records (from 1983) and reanalysis such as ERA5 (from 1940) and NOAA 20CRv3 (from 1872 to 2015). The aim of this study is to reconstruct a homogenized, long-term total cloud cover (TCC) time series for Padua from 1872 to 2024, integrating all available observational sources. By comparing overlapping periods across different subseries and nearby ground-based stations, the analysis not only investigates consistency and potential discontinuities across datasets but also quantifies the reliability and limitations of historical visual observations. This work provides one of the few centennial-scale reconstructions of cloud cover in Europe, offering a valuable contribution to historical climatology and climate change studies. Full article

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16 pages, 2745 KB

Open AccessSystematic Review

Intraoperative Cryotherapy as a Local Adjuvant After Bone Curettage in Orthopedic Oncology: A Review of Modern Literature

by Antonio D’Arienzo, Edoardo Ipponi, Fabio Cosseddu, Francesco Rosario Campo, Paolo Domenico Parchi and Lorenzo Andreani

J. Clin. Med. 2025, 14(22), 8007; https://doi.org/10.3390/jcm14228007 (registering DOI) - 12 Nov 2025

Abstract

Background: Curettage is a well-established treatment for benign bone tumors. Among the adjuvant treatments available to minimize the risk of local recurrence after curettage, cryotherapy is one of the most used and documented. Our study aims to summarize the results of curettage [...] Read more.

Background: Curettage is a well-established treatment for benign bone tumors. Among the adjuvant treatments available to minimize the risk of local recurrence after curettage, cryotherapy is one of the most used and documented. Our study aims to summarize the results of curettage and intraoperative cryotherapy for the treatment of bone tumors in the modern literature. Methods: We systematically reviewed the existing literature, searching for cases treated with intraoperative cryotherapy after bone curettage in orthopedic oncology. Articles from the PubMed and MEDLINE databases, published between January 2000 and January 2025, were included. Our research was conducted in accordance with PRISMA guidelines. Case reports were excluded. For each study, we recorded the number of cases, their histological diagnosis, the curettage technique, and the cryotherapy administration strategy. Complications and recurrence rates were recorded, as well as post-operative functional performance. Results: Twenty-two studies met our inclusion criteria. A total of 1451 cases with benign and low-grade malignant bone tumors were recorded. After a mean follow-up of 55.7 months, the mean recurrence rate was 7.4% and the global complication rate was 8.7%. The mean MSTS score was 27.8. Conclusions: The combination of curettage and intra-operative cryotherapy, administered with either open or closed contact techniques, can be effective in eradicating benign and low-grade bone tumors and has low complication rates and a limited impact on patients’ functionality. Full article

(This article belongs to the Special Issue Clinical Management and Treatment of Orthopedic Oncology: 2nd Edition)

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36 pages, 7319 KB

Open AccessArticle

An Enhanced Secretary Bird Optimization Algorithm Based on Multi Population Management for Numerical Optimization Problems

by Jin Zhu, Bojun Liu, Jun Zheng, ShaoJie Yin and Meng Wang

Biomimetics 2025, 10(11), 761; https://doi.org/10.3390/biomimetics10110761 (registering DOI) - 12 Nov 2025

Abstract

The Secretary Bird Optimization Algorithm (SBOA) is a novel swarm-based meta-heuristic that formulates an optimization model by mimicking the secretary bird’s hunting and predator-evasion behaviors, and thus possesses appreciable application potential. Nevertheless, it suffers from an unbalanced exploration–exploitation ratio, difficulty in maintaining population [...] Read more.

The Secretary Bird Optimization Algorithm (SBOA) is a novel swarm-based meta-heuristic that formulates an optimization model by mimicking the secretary bird’s hunting and predator-evasion behaviors, and thus possesses appreciable application potential. Nevertheless, it suffers from an unbalanced exploration–exploitation ratio, difficulty in maintaining population diversity, and a tendency to be trapped in local optima. To eliminate these drawbacks, this paper proposes an SBOA variant (MESBOA) that integrates a multi-population management strategy with an experience-trend guidance strategy. The proposed method is compared with eight advanced basic/enhanced algorithms of different categories on both the CEC2017 and CEC2022 test suites. Experimental results demonstrate that MESBOA delivers faster convergence, more stable robustness and higher accuracy, achieving mean rankings of 2.500 (CEC2022 10-D), 2.333 (CEC2022 20-D), 1.828 (CEC2017 50-D) and 1.931 (CEC2017 100-D). Moreover, engineering constrained optimization problems further verify its applicability to real-world optimization tasks. Full article

(This article belongs to the Special Issue Advances in Biological and Bio-Inspired Algorithms)

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37 pages, 7905 KB

Open AccessReview

Review of Fault Detection Approaches for Large-Scale Lithium-Ion Battery Systems: A Spatio-Temporal Perspective

by Qingbin Wang, Hangang Yan, Yun Yang, Xianzhong Zhao, Hui Huang, Zudi Huang, Zhuoqi Zhu, Shi Liu, Bin Yi, Gancai Huang and Jianfeng Yang

Batteries 2025, 11(11), 414; https://doi.org/10.3390/batteries11110414 (registering DOI) - 12 Nov 2025

Abstract

Battery fault detection is crucial for maintaining the safety and reliability of large-scale lithium-ion battery systems, especially in demanding applications like electric vehicles and energy storage power stations. However, existing research primarily addresses either temporal patterns or spatial variations in isolation. This paper [...] Read more.

Battery fault detection is crucial for maintaining the safety and reliability of large-scale lithium-ion battery systems, especially in demanding applications like electric vehicles and energy storage power stations. However, existing research primarily addresses either temporal patterns or spatial variations in isolation. This paper presents a comprehensive review of fault detection from a spatio-temporal perspective, with a specific focus on AI-driven methods that integrate temporal dynamics with spatial sensor data. The contributions of this review include an in-depth analysis of advanced techniques such as transfer learning, foundation models, and physics-informed neural networks, emphasizing their potential for modeling complex spatio-temporal dependencies. On the engineering side, this review surveys the practical application of these methods for early fault detection and diagnostics in large-scale battery systems, supported by case studies and real-world deployment examples. The findings of this review provide a unified perspective to guide the development of robust and scalable spatio-temporal fault detection methods for EV batteries, highlighting key challenges, promising solutions, and future research directions. Full article

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25 pages, 4819 KB

Open AccessArticle

An Interpretable Hybrid System Using Temporal Convolutional Network and Informer Model for Carbon Price Prediction

by Pei Du, Xuankai Zhang, Tingting Chen and Wendong Yang

Systems 2025, 13(11), 1011; https://doi.org/10.3390/systems13111011 (registering DOI) - 12 Nov 2025

Abstract

Scientific, accurate, and interpretable carbon price forecasts provide critical support for addressing climate change, achieving low-carbon goals, and informing policy-making and corporate decision-making in energy and environmental markets. However, the existing studies mainly focus on deterministic forecasting, with obvious limitations in data feature [...] Read more.

Scientific, accurate, and interpretable carbon price forecasts provide critical support for addressing climate change, achieving low-carbon goals, and informing policy-making and corporate decision-making in energy and environmental markets. However, the existing studies mainly focus on deterministic forecasting, with obvious limitations in data feature diversity, model interpretability, and uncertainty quantification. To fill these gaps, this study constructs an interpretable hybrid system for carbon market price prediction by combining feature screening algorithms, deep learning models, and interpretable explanatory analysis methods. Specifically, this study first screens important variables from twenty-one multi-source structured and unstructured influencing factor datasets on five dimensions affecting carbon price using the Boruta algorithm. Immediately after that, this study proposes a hybrid architecture of bidirectional temporal convolutional network and Informer models, where a bidirectional temporal convolutional network is used to extract local spatio-temporal dependent features, while Informer captures long sequences of global features through the connectivity mechanism, thus realizing staged feature extraction. Then, to improve the interpretability of the model and quantify the uncertainty, this study introduces Shapley additive explanations to analyze the feature contribution in the prediction process, and the Monte Carlo dropout method is used to achieve interval prediction. Finally, the empirical results in China’s Guangdong and Shanghai carbon markets show that the proposed model significantly outperforms benchmark models, and the coverage probability of the obtained prediction intervals significantly outperforms the confidence level. The Shapley additive explanation analysis reveals regional heterogeneity drivers. In addition, the proposed model is also intensively validated in the European carbon market and the U.S. natural gas market, which also demonstrate an excellent prediction performance, indicating that the model has good robustness and applicability. Full article

(This article belongs to the Special Issue Ensemble Learning-Driven Models for Managerial System Modelling and Applications)

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27 pages, 890 KB

Open AccessArticle

Circularity for Sustainable Textiles: Aligning Fiber Compositions of T-Shirts with Ecodesign and Recyclability

by Tanita Behrendt and Elisabeth Eppinger

Sustainability 2025, 17(22), 10057; https://doi.org/10.3390/su172210057 - 11 Nov 2025

Abstract

The sustainability transition of the textile industry requires amongst other strategies circular approaches. Ecodesign guidelines and design for recycling are approaches that reduce resource consumption and textile waste. Garments are made of a large variety of different materials, from blended fibers to haberdashery [...] Read more.

The sustainability transition of the textile industry requires amongst other strategies circular approaches. Ecodesign guidelines and design for recycling are approaches that reduce resource consumption and textile waste. Garments are made of a large variety of different materials, from blended fibers to haberdashery items, colorants, and finishings, making it challenging to predict the composition of post-consumer textile waste. This mix of materials complicates recycling efforts, contributing to globally less than 1% of fiber-to-fiber recycling. This study investigates material compositions of one of the most popular and widespread garments: T-shirts. While about half of our sample contains cotton only, the other items contain two or more fibers, revealing huge variations in fiber blends, including varying degrees of elastane contents, which are not linked to functional requirements. These blends, especially the varying levels of elastane, increase costs and efforts for recycling, making fiber-to-fiber recycling less attractive and more expensive than new fiber production. They also contribute to avoidable microfiber pollution. Accordingly, this study underlines the requirements for providing detailed ecodesign guidelines and applying the extended producer responsibility to incorporate environmental lifecycle costs, to help shift the industry towards a circular economy. Full article

(This article belongs to the Section Waste and Recycling)

28 pages, 6230 KB

Open AccessArticle

Developmental Phase-Specific Molecular Signatures and Signaling Pathways in Cryptorchidism-Induced Testicular Damage

by Xinying Wang, Fuming Deng, Yijing Chen, Xiaonan Liu, Dian Li, Xiangliang Tang, Hongkun Lai, Qianlong Li, Wen Fu, Guochang Liu, Zhongzhong Chen and Tianxin Zhao

Biomolecules 2025, 15(11), 1584; https://doi.org/10.3390/biom15111584 - 11 Nov 2025

Abstract

Cryptorchidism, characterized by undescended testes, is associated with infertility and increased cancer risk through complex, multifactorial pathophysiological mechanisms involving interconnected alterations in testicular microenvironment, including but not limited to elevated temperature, hormonal dysregulation, altered vascular perfusion, and immune responses. These factors interact synergistically [...] Read more.

Cryptorchidism, characterized by undescended testes, is associated with infertility and increased cancer risk through complex, multifactorial pathophysiological mechanisms involving interconnected alterations in testicular microenvironment, including but not limited to elevated temperature, hormonal dysregulation, altered vascular perfusion, and immune responses. These factors interact synergistically to drive testicular pathology. Using a surgically induced bilateral cryptorchid mouse model established at postnatal day 21 (PND21), we investigated phase-specific pathological mechanisms through analyses at prepubertal (PND35) and sexually mature (PND70) phases. Our transcriptome analysis revealed distinct molecular signatures at different developmental phases, with prepubertal cryptorchid testes showing 2570 differentially expressed genes predominantly enriched in immunoproteasome components and inflammatory pathways, while sexually mature testes exhibited 883 differentially expressed genes primarily related to extracellular matrix (ECM) remodeling and oncogenic pathways. Prepubertal molecular changes indicated immunoproteasome activation and inflammatory responses, whereas mature-phase alterations were characterized by ECM reorganization and fibrotic remodeling. Functional analysis demonstrated prepubertal enrichment in spermatogenesis regulation and interferon responses, while mature-phase signatures were associated with apoptosis, epithelial–mesenchymal transition, and inflammatory signaling cascades. Phase-specific oncogenic pathway correlations revealed distinct mechanisms: metabolic reprogramming and epigenetic regulation in prepubertal testes versus structural remodeling and invasion-related pathways in mature testes. Molecular validation confirmed elevated PI3K-Akt and NF-κB signaling at both developmental phases, identifying these as potential therapeutic targets. This first phase-resolved characterization of cryptorchidism pathology provides insights into developmental phase-specific mechanisms and suggests timing-dependent therapeutic strategies. Although differing from human congenital cryptorchidism in developmental timing and etiology, our surgically induced model recapitulates anatomical testicular malposition with multiple inseparable pathophysiological alterations, and the identified molecular signatures reflect integrated responses to the complex cryptorchid microenvironment. Full article

(This article belongs to the Section Molecular Biomarkers)

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13 pages, 445 KB

Open AccessReview

Lifestyle Interventions for the Treatment of Obesity in Workers: An Integrative Review

by Marcia Cristina Almeida Magalhães Oliveira, Julia Passo Machado Neto Viana, Sergio de Queiroz Braga and Magno Merces Weyll Pimentel

Obesities 2025, 5(4), 79; https://doi.org/10.3390/obesities5040079 - 11 Nov 2025

Abstract

Background: Obesity is a multifactorial disease with significant physical, psychological, and economic impacts on individuals and society. Workers are particularly vulnerable, as obesity is associated with reduced productivity, absenteeism, and premature mortality. Lifestyle interventions combining dietary, physical activity, and behavioural strategies have been [...] Read more.

Background: Obesity is a multifactorial disease with significant physical, psychological, and economic impacts on individuals and society. Workers are particularly vulnerable, as obesity is associated with reduced productivity, absenteeism, and premature mortality. Lifestyle interventions combining dietary, physical activity, and behavioural strategies have been investigated as therapeutic approaches in this population. Objective: We aimed to conduct an integrative review assessing the effectiveness of workplace-based obesity treatment models involving dietary interventions, physical activity, and behavioural change. Methods: A search was conducted in PubMed for studies published between 2006 and 2024, with no language restrictions. Eligible studies included experimental or quasi-experimental longitudinal designs involving adult workers. After screening 95 articles, 18 were evaluated in full, and 8 met all inclusion criteria. Data extraction covered study design, intervention type, comparators, outcomes, and methodological quality, assessed using the Newcastle–Ottawa Scale. Results: Half of the included studies reported no significant reduction in body mass index after 6 or 12 months, while the others showed only modest decreases. Nevertheless, all interventions demonstrated improvements in dietary habits (reduced sugar-sweetened beverage intake, increased fruit, vegetable, and fibre consumption), physical activity (increased walking, reduced sedentary behaviour), and behavioural domains (adherence to healthy routines, self-monitoring, and family or employer support). Conclusions: Lifestyle-based workplace interventions for obesity show limited long-term effectiveness in weight reduction but promote healthier lifestyle habits, cardiometabolic health, and more supportive work environments. Future research should include diverse socioeconomic settings, particularly in developing countries, and apply robust designs, longer follow-ups, and innovative strategies to enhance adherence and outcomes. Full article

(This article belongs to the Special Issue Obesity and Its Comorbidities: Prevention and Therapy)

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19 pages, 21485 KB

Open AccessFeature PaperArticle

Horticultural Potential of the Flora from Karstic Dolines in the Northern Dinarides

by Andraž Čarni, Mateja Breg Valjavec, Aljaž Jakob, Blanka Ravnjak and Jože Bavcon

Horticulturae 2025, 11(11), 1355; https://doi.org/10.3390/horticulturae11111355 - 11 Nov 2025

Abstract

Karstic dolines are unique geomorphological and ecological features of limestone landscapes, characterised by strong microclimatic and edaphic gradients. These concave landforms form natural microrefugia that harbour a variety of plant species. In this study, dolines in the northern Dinarides on the Kras Plateau [...] Read more.

Karstic dolines are unique geomorphological and ecological features of limestone landscapes, characterised by strong microclimatic and edaphic gradients. These concave landforms form natural microrefugia that harbour a variety of plant species. In this study, dolines in the northern Dinarides on the Kras Plateau were investigated to assess the horticultural potential of their flora. Vegetation surveys along edge-to-bottom transects revealed a pronounced species turnover and differentiation of functional traits. Shade-tolerant geophytes and early-flowering perennials dominate the bottoms of the dolines, while the edges harbour drought-tolerant aromatic herbs. Not only do dolines serve biodiversity conservation by acting as microrefugia, but they also preserve cultural heritage through ethnobotanical species and provide a species pool for the selection of plants with horticultural potential. We selected horticultural important plants (HPs) and analysed them within the dolines. Depending on their morphology and seasonal occurrence, they can be divided into woody species, early and late spring flowering species, orchids, and structural species. By linking biodiversity conservation with applied horticulture, this study emphasises the multifunctional role of dolines as small natural features of disproportionate ecological and horticultural importance. We suggest that integrating doline species into horticultural utilisation could improve sustainability, diversify plantings, and strengthen climate adaptation strategies. Full article

(This article belongs to the Special Issue Horticulture from an Ecological Perspective)

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18 pages, 1271 KB

Open AccessReview

Cardiovascular Imaging Applications, Implementations, and Challenges Using Novel Magnetic Particle Imaging

by Muhiddin Dervis, Ahmed Marey, Shiva Toumaj, Ruaa Mustafa Qafesha, Doaa Mashaly, Ahmed Afify, Anna Langham, Sachin Jambawalikar and Muhammad Umair

Bioengineering 2025, 12(11), 1235; https://doi.org/10.3390/bioengineering12111235 (registering DOI) - 11 Nov 2025

Abstract

Magnetic Particle Imaging (MPI) is a new type of tracer-based imaging that has great spatial and temporal resolution, does not require ionizing radiation, and can see deep into tissues by directly measuring the nonlinear magnetization response of superparamagnetic iron oxide nanoparticles (SPIONs). Unlike [...] Read more.

Magnetic Particle Imaging (MPI) is a new type of tracer-based imaging that has great spatial and temporal resolution, does not require ionizing radiation, and can see deep into tissues by directly measuring the nonlinear magnetization response of superparamagnetic iron oxide nanoparticles (SPIONs). Unlike Magnetic Resonance Imaging (MRI) or Computed Tomography (CT), MPI has very high contrast and quantitative accuracy, which makes it perfect for use in dynamic cardiovascular applications. This study presents a full picture of the most recent changes in cardiac MPI, such as the physics behind Field-Free Point (FFP) and Field-Free Line (FFL) encoding, new ideas for tracer design, and important steps in the evolution of scanner hardware. We discuss the clinical relevance of cardiac MPI in visualizing myocardial perfusion, quantifying blood flow, and guiding real-time interventions. A hybrid imaging workflow, which improves anatomical detail and functional assessment, is utilized to explore the integration of MPI with complementary modalities, particularly MRI. By consolidating recent preclinical breakthroughs and highlighting the roadmap toward human-scale implementation, this article underscores the transformative potential of MPI in cardiac diagnostics and image-guided therapy. Full article

(This article belongs to the Section Biosignal Processing)

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17 pages, 680 KB

Open AccessArticle

Overcoming Transportation Barriers for Low-Income Individuals with Chronic Conditions: Identifying Barriers and Strategies in Access to Healthcare and Food as Medicine (FAM)

by Hyesu Im, Fei Li, Shanae Stover, Carlie Abel, Janee Farmer, Carlos M. García, Jenna-Ashley Lee and Christopher K. Wyczalkowski

Healthcare 2025, 13(22), 2869; https://doi.org/10.3390/healthcare13222869 - 11 Nov 2025

Abstract

Background/Objectives: Transportation is a critical social determinant of health with direct impacts on healthcare access and utilization. This study examines transportation challenges faced by low-income individuals with chronic conditions who participated in the Food as Medicine (FAM) program offered by their primary care [...] Read more.

Background/Objectives: Transportation is a critical social determinant of health with direct impacts on healthcare access and utilization. This study examines transportation challenges faced by low-income individuals with chronic conditions who participated in the Food as Medicine (FAM) program offered by their primary care provider and explores the strategies they employ to overcome those challenges, particularly during the COVID-19 pandemic. Methods: We conducted semi-structured interviews with 36 FAM participants from Grady Health System in Atlanta, Georgia between May 2022 and October 2023. Interviews explored their ability to access routine care, FAM, and healthy food as prescribed by their physicians and nutritionists, as well as how the COVID-19 pandemic affected their transportation challenges and solutions. Results: Participants reported various transportation barriers including long wait times, delays, cost burdens, unreliable services, and coordination failures, which contributed to missing doctor appointments and FAM attendance. To overcome those challenges, participants planned trips in advance, used multiple transportation options, relied on social networks, or reduced and sometimes forwent trips. The COVID-19 pandemic limited their accessibility to healthcare, FAM, and healthy food options by reducing business hours and disrupting transportation services. Alternatives such as telemedicine and online ordering were less utilized due to distrust, dissatisfaction, and limited digital literacy. Conclusions: Transportation barriers can substantially restrict healthcare and food access for low-income individuals managing chronic conditions, especially during public crises that may lead to service disruptions. Transportation assistance that accommodates individuals’ financial circumstances and health conditions, implemented through collaborative efforts of healthcare institutions, transportation agencies, and governments, is essential to facilitating chronic disease management and reducing health disparities. Full article

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10 pages, 495 KB

Open AccessArticle

Epitope Specificity of HLA Class I Alloantibodies in Indian Renal Transplant Patients: A Single-Center Study

by Vikash Chandra Mishra, Dinesh Chandra, Ritu Sharma, Diksha Dhuliya and Vimarsh Raina

Transplantology 2025, 6(4), 34; https://doi.org/10.3390/transplantology6040034 - 11 Nov 2025

Abstract

Background/Objectives: Epitope-based matching has emerged as a refined approach for assessing donor–recipient compatibility in renal transplantation. However, limited data are available on HLA Class I epitope distribution among Indian patients, particularly from northern India, where substantial allelic diversity is known to influence immunological [...] Read more.

Background/Objectives: Epitope-based matching has emerged as a refined approach for assessing donor–recipient compatibility in renal transplantation. However, limited data are available on HLA Class I epitope distribution among Indian patients, particularly from northern India, where substantial allelic diversity is known to influence immunological risk. Methods: This retrospective analysis evaluated HLA Class I single-antigen bead (SAB) antibody data from 218 consecutive renal-transplant candidates who tested positive for anti-HLA antibodies between July 2018 and September 2024. HLA Class I epitopes were identified and analyzed using MATCH IT Antibody Software (Immucor, version 1.5.0). Demographic variables and sensitization history (previous transplant, transfusion, pregnancy) were reviewed. Results: A total of 504 distinct epitopes were identified, with 65GK and 163LG emerging as the most frequent motifs. The predominance of these epitopes mirrors the high prevalence of alleles such as HLA-A*24 and HLA-B*35 reported in North-Indian populations. The data suggest a strong influence of regional allele architecture on the immunogenic epitope landscape. Conclusions: This study provides the first baseline characterization of HLA Class I epitope distribution among northern-Indian renal-transplant candidates. The findings emphasize the need for establishing population-specific HLA epitope databases and highlight the potential of epitope-based matching to enhance donor selection and minimize immunological risk in Indian transplantation programs. Full article

(This article belongs to the Section Solid Organ Transplantation)

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16 pages, 295 KB

Open AccessArticle

by Jedidiah A. Feyisetan, Maggie Britton, Tzuan A. Chen, Isabel Martinez Leal, Mhyank S. Sekhar, Teresa Williams, Kathleen Casey, Ammar D. Siddiqi and Lorraine R. Reitzel

Int. J. Environ. Res. Public Health 2025, 22(11), 1701; https://doi.org/10.3390/ijerph22111701 (registering DOI) - 11 Nov 2025

Abstract

Background: Tobacco use, and particularly cigarette smoking, is elevated among patients with substance use disorders (SUDs), resulting in health inequities. In rural and medically underserved areas (MUAs), healthcare access is limited; thus, patients with SUDs may receive care in substance use treatment centers [...] Read more.

Background: Tobacco use, and particularly cigarette smoking, is elevated among patients with substance use disorders (SUDs), resulting in health inequities. In rural and medically underserved areas (MUAs), healthcare access is limited; thus, patients with SUDs may receive care in substance use treatment centers (SUTCs) and/or medical healthcare centers (MHCs). Healthcare providers in these settings should know the importance and benefits of quitting tobacco use for patients with SUDs, as this is essential for effective cessation care. This study examined baseline provider knowledge/training receipt and knowledge gains following training in SUTCs and MHCs serving rural and MUAs of Texas, USA. Methods: From 2021 to 2024, 428 providers from 8 SUTCs and 8 MHCs completed an e-survey on tobacco knowledge and past-year training. They then completed 1 to 1.5 h of training. Knowledge gain was assessed via a 10-item test delivered pre- and post-training. Results: Pre-training knowledge and past-year training rates were low across settings; providers at SUTCs were more likely than those at MHCs to know that persons with behavioral disorders like substance misuse are 2 times more likely to smoke than the general USA population. Both groups demonstrated significant knowledge gains from training (SUTCs: 37.41% and MHCs: 45.92% increases; ps < 0.0001). Conclusions: Findings support the need for routine tobacco training in healthcare centers serving rural and MUAs of Texas. Brief educational sessions may help address provider knowledge gaps and, ultimately, strengthen cessation care and reduce tobacco-related disparities in these settings. Full article

(This article belongs to the Special Issue Smoking and Tobacco Use: A Health Equity Perspective)

16 pages, 801 KB

Open AccessArticle

Exploring the Potential of Cupriavidus metallidurans and Ochrobactrum anthropi for ²⁴¹Am Bioaccumulation in Aqueous Solution

by Leandro Goulart de Araujo, Tania Regina de Borba, Rafael Luan Sehn Canevesi, Sabine Neusatz Guilhen, Edson Antonio da Silva and Júlio Takehiro Marumo

AppliedChem 2025, 5(4), 34; https://doi.org/10.3390/appliedchem5040034 (registering DOI) - 11 Nov 2025

Abstract

This study explores, for the first time, the bioaccumulation of americium-241 (²⁴¹Am) by Cupriavidus metallidurans and Ochrobactrum anthropi, two bacterial strains previously investigated mainly for their interactions with other heavy metals and radionuclides. To the best of our knowledge, no [...] Read more.

This study explores, for the first time, the bioaccumulation of americium-241 (²⁴¹Am) by Cupriavidus metallidurans and Ochrobactrum anthropi, two bacterial strains previously investigated mainly for their interactions with other heavy metals and radionuclides. To the best of our knowledge, no prior studies have reported the use of these microorganisms for ²⁴¹Am removal from aqueous solutions. The effects of initial ²⁴¹Am concentration and solution pH on removal performance were evaluated through batch experiments. Kinetic analyses were performed using pseudo-first-order (PFO) and pseudo-second-order (PSO) models, with the PSO model providing a better fit, suggesting chemisorption as the rate-limiting step in the process. Initial ²⁴¹Am concentrations ranged from 75 to 300 Bq mL⁻¹, and both bacterial strains demonstrated comparable maximum bioaccumulation capacities of approximately 1.5 × 10⁻⁸ mmol g⁻¹. However, O. anthropi exhibited superior resistance to ²⁴¹Am, maintaining colony growth at activity levels up to 1200 Bq mL⁻¹, compared to a threshold of 400 Bq mL⁻¹ for C. metallidurans. These findings highlight the robustness and efficiency of these bacterial strains—particularly O. anthropic—in removing ²⁴¹Am from liquid radioactive waste, offering promising implications for bioremediation technologies. Full article

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27 pages, 1465 KB

Open AccessReview

Dietary Modulation of the Enteric Nervous System: From Molecular Mechanisms to Therapeutic Applications

by Xintong Wang, Wen Zhang, Huihui Wang, Yuzhen Zhao, Pengjie Wang, Ran Wang, Yanan Sun, Fazheng Ren and Yixuan Li

Nutrients 2025, 17(22), 3519; https://doi.org/10.3390/nu17223519 - 11 Nov 2025

Abstract

The enteric nervous system (ENS), frequently referred to as the “second brain,” is integral to maintaining gastrointestinal and systemic homeostasis. The structural and functional homeostasis of the ENS is crucial for both local intestinal processes (digestion, immunity) and systemic physiological equilibrium via the [...] Read more.

The enteric nervous system (ENS), frequently referred to as the “second brain,” is integral to maintaining gastrointestinal and systemic homeostasis. The structural and functional homeostasis of the ENS is crucial for both local intestinal processes (digestion, immunity) and systemic physiological equilibrium via the gut–brain axis, directly influencing overall health and disease. In recent years, dietary substances have attracted increasing scholarly attention for their potential to modulate the ENS, attributed to their safety and accessibility. This review commences with a systematic exploration of the anatomical structure of the ENS, including the myenteric and submucosal plexuses, its cellular constituents such as enteric neurons and enteric glial cells, and its core physiological functions, encompassing the regulation of gastrointestinal motility, the secretion–absorption balance, and the maintenance of immune homeostasis. Subsequently, it delineates the classification, distribution, and properties of essential dietary components, encompassing polyphenols, short-chain fatty acids, amino acids and their derivatives, as well as prebiotics and probiotics. Additionally, it examines the mechanisms through which these substances modulate the physiological functions of the ENS, including the regulation of intestinal motility, support for neuronal survival and network integrity, and the maintenance of neuro-immune homeostasis. The review concludes by highlighting current limitations—including reliance on rodent models, unclear human ENS mechanisms, and imprecise interventions—and proposes future directions focused on precision medicine, clinical translation, and advanced tools like single-cell sequencing and targeted delivery systems. Full article

(This article belongs to the Special Issue Micronutrients and Bioactive Molecules: Their Development, Interaction, and Impact on Human Health)

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23 pages, 3517 KB

Open AccessFeature PaperReview

Recent Progress of Low Pt Content Intermetallic Electrocatalysts Toward Proton Exchange Membrane Fuel Cells

by Huiyuan Liu, Qian Song, Yan Xie, Weiqi Zhang, Qian Xu and Huaneng Su

Catalysts 2025, 15(11), 1070; https://doi.org/10.3390/catal15111070 - 11 Nov 2025

Abstract

Proton exchange membrane fuel cells are playing a crucial role in the widespread adoption of hydrogen energy. However, their large-scale commercialization has been hampered by the high cost and limited durability of Pt-based electrocatalysts. To overcome the issues, researchers are focusing on Pt–non-noble [...] Read more.

Proton exchange membrane fuel cells are playing a crucial role in the widespread adoption of hydrogen energy. However, their large-scale commercialization has been hampered by the high cost and limited durability of Pt-based electrocatalysts. To overcome the issues, researchers are focusing on Pt–non-noble metal (PtM) intermetallic electrocatalysts due to their superior activity and durability. This review highlights key advances in this field, starting with a comparison of intermetallic compounds and solid-solution alloys, and an analysis of the composition and structure of PtM intermetallics. It then proceeds to the controllable synthesis and structure characterization of the carbon-supported PtM intermetallics electrocatalysts. The review also thoroughly discusses their activity and durability for the oxygen reduction reaction (ORR). Finally, some perspectives on remaining challenges and future development of the PtM intermetallics electrocatalysts are presented to guide the exploitation of the active and durable intermetallic electrocatalysts with high metal content and small size for practical substitution. Full article

(This article belongs to the Special Issue Catalytic Materials in Electrochemical and Fuel Cells)

14 pages, 232 KB

Open AccessArticle

Active Surveillance of Adverse Events Following Influenza Immunization in Jiangsu Province, China: A 2019–2023 Retrospective Study

by Zhiguo Wang, Sufang Wu, Xun Li, Ran Hu, Jing Yu, Borong Xu, Yuanyuan Zhu and Poning Liu

Vaccines 2025, 13(11), 1154; https://doi.org/10.3390/vaccines13111154 - 11 Nov 2025

Abstract

Background: Influenza vaccines have been administered in Jiangsu Province. This study aimed to conduct a comprehensive retrospective analysis of influenza vaccine safety in the region from 2019 to 2023. Methods: Data were sourced from the Chinese National Adverse Events Following Immunization Information System [...] Read more.

Background: Influenza vaccines have been administered in Jiangsu Province. This study aimed to conduct a comprehensive retrospective analysis of influenza vaccine safety in the region from 2019 to 2023. Methods: Data were sourced from the Chinese National Adverse Events Following Immunization Information System (CNAEFIS) and Jiangsu Provincial Electronic Immunization Registries System (JSEIRS) systems. A comprehensive retrospective analysis was performed to calculate the incidence rates of adverse events following immunization (AEFI) and to identify potential safety signals through disproportionality analysis. Results: Out of 4,906,905 administered doses, 2080 AEFI cases were reported, yielding an overall incidence rate of 42.39 per 1,000,000 doses. Significantly higher rates were observed in children aged 6–35 months (71.03 per 1,000,000) and among recipients of trivalent vaccines (52.79 per 1,000,000) compared to quadrivalent vaccines (36.03 per 1,000,000). The vast majority of AEFIs were mild, common adverse reactions (94.47%, predominantly fever and local reactions), occurring predominantly within one day post-vaccination, while disproportionality analysis identified expected signals for common adverse reactions and rare local purulent infections. Conclusions: Overall, the findings affirm the vaccine’s favorable safety profile, align with pre-marketing data, and underscore the critical role of continuous post-marketing surveillance in maintaining public confidence and monitoring the safety of both established and new vaccine formulations. Full article

(This article belongs to the Section Influenza Virus Vaccines)

21 pages, 381 KB

Open AccessArticle

The Relationship Between Language and Social Competence in 3- to 5-Year-Old Children at Risk of and Without Developmental Language Disorder

by Marylène Dionne and Stefano Rezzonico

Behav. Sci. 2025, 15(11), 1536; https://doi.org/10.3390/bs15111536 (registering DOI) - 11 Nov 2025

Abstract

Developmental language disorder (DLD) is associated with persistent language difficulties that may impact social competence. The aim of this study is to describe the relationship between language, pragmatics, and social competence in French-speaking preschoolers and to identify the specific social competence difficulties observed [...] Read more.

Developmental language disorder (DLD) is associated with persistent language difficulties that may impact social competence. The aim of this study is to describe the relationship between language, pragmatics, and social competence in French-speaking preschoolers and to identify the specific social competence difficulties observed in children at risk of DLD at this age. The sample included 63 children aged between 36 and 59 months, 12 of whom were at risk of having DLD. Children were assessed using measures of vocabulary, morphosyntax, pragmatic skills, and narrative abilities, while childcare educators completed a questionnaire evaluating social competence. Results revealed that children at risk for DLD exhibited more characteristics related to dependence on adults compared to their peers without DLD. No significant group differences were observed for the other components of social competence. The findings also identified a relationship between pragmatic and personal narrative skills, and social adjustment. These findings support the social adaptation model, suggesting that functional social impacts in children with DLD may arise from limited language abilities rather than an intrinsic socio-emotional disorder. This study highlights the importance of early pragmatic and narrative development in supporting social competence from the preschool age. Full article

(This article belongs to the Special Issue Understanding Dyslexia and Developmental Language Disorders)

20 pages, 4114 KB

Open AccessArticle

The Effect of the Recycling Process on the Performance of Thermoplastic Vulcanizates Containing Recycled Rubber from End-of-Life Tires

by Maialen Narvaez-Fagoaga, Marina M. Escrivá, Zenen Zepeda-Rodríguez, Laura Diñeiro, Fernando M. Salamanca, Ángel Marcos-Fernández and Juan L. Valentín

Polymers 2025, 17(22), 2992; https://doi.org/10.3390/polym17222992 - 11 Nov 2025

Abstract

End-of-life tires (ELTs) are an important source of energy and materials, with ELT powder (ELTp) being a secondary raw material of increasing industrial interest. However, the complex structure and composition of ELTp rubber pose technological difficulties and scientific challenges in some high-performance applications [...] Read more.

End-of-life tires (ELTs) are an important source of energy and materials, with ELT powder (ELTp) being a secondary raw material of increasing industrial interest. However, the complex structure and composition of ELTp rubber pose technological difficulties and scientific challenges in some high-performance applications in the rubber industry. The mechanical recycling of ELTp produces ground tire rubber (GTR) powder, which is used, among other applications in the rubber field, to prepare thermoplastic vulcanizates (TPVs) due to the interest in these materials in the automotive and construction sectors. Over the last few decades, different approaches have been explored to minimize the limitations of these TPVs, including their large particle size and poor compatibility with GTR powder in other polymer matrices. This study applies different recycling procedures to GTR powder, based on thermal, chemical and mechanical methods, and combinations thereof, to minimize interfacial issues with other matrices used in TPV preparation. The effect of the different rubber recycling processes on the performance of the resulting TPVs was evaluated, optimizing the fraction of recycled rubber from ELTp and the vulcanization system to enhance the mechanical properties and obtain industrially competitive products. Full article

(This article belongs to the Special Issue Advances in Rubber Composites and Recovered Waste Rubber)

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17 pages, 9161 KB

Open AccessArticle

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision–Language Learning

by Raja Mallina and Bryar Shareef

Diagnostics 2025, 15(22), 2849; https://doi.org/10.3390/diagnostics15222849 - 11 Nov 2025

Abstract

Background/Objectives: Precise breast ultrasound (BUS) segmentation supports reliable measurement, quantitative analysis, and downstream classification yet remains difficult for small or low-contrast lesions with fuzzy margins and speckle noise. Text prompts can add clinical context, but directly applying weakly localized text–image cues (e.g., CAM/CLIP-derived [...] Read more.

Background/Objectives: Precise breast ultrasound (BUS) segmentation supports reliable measurement, quantitative analysis, and downstream classification yet remains difficult for small or low-contrast lesions with fuzzy margins and speckle noise. Text prompts can add clinical context, but directly applying weakly localized text–image cues (e.g., CAM/CLIP-derived signals) tends to produce coarse, blob-like responses that smear boundaries unless additional mechanisms recover fine edges. Methods: We propose XBusNet, a novel dual-prompt, dual-branch multimodal model that combines image features with clinically grounded text. A global pathway based on a CLIP Vision Transformer encodes whole-image semantics conditioned on lesion size and location, while a local U-Net pathway emphasizes precise boundaries and is modulated by prompts that describe shape, margin, and Breast Imaging Reporting and Data System (BI-RADS) terms. Prompts are assembled automatically from structured metadata, requiring no manual clicks. We evaluate the model on the Breast Lesions USG (BLU) dataset using five-fold cross-validation. The primary metrics are Dice and Intersection over Union (IoU); we also conduct size-stratified analyses and ablations to assess the roles of the global and local paths and the text-driven modulation. Results: XBusNet achieves state-of-the-art performance on BLU, with a mean Dice of 0.8766 and IoU of 0.8150, outperforming six strong baselines. Small lesions show the largest gains, with fewer missed regions and fewer spurious activations. Ablation studies show complementary contributions of global context, local boundary modeling, and prompt-based modulation. Conclusions: A dual-prompt, dual-branch multimodal design that merges global semantics with local precision yields accurate BUS segmentation masks and improves robustness for small, low-contrast lesions. Full article

(This article belongs to the Special Issue Information-Driven Computer-Aided Diagnosis and Decision Support System)

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26 pages, 9232 KB

Open AccessArticle

Distributed Fiber Optic Sensing for Monitoring Mining-Induced Overburden Deformation

by Shunjie Huang, Xiangrui Meng, Guangming Zhao, Xiang Cheng, Xiangqian Wang and Kangshuo Xia

Coatings 2025, 15(11), 1317; https://doi.org/10.3390/coatings15111317 - 11 Nov 2025

Abstract

The accurate real-time delineation of overburden failure zones, specifically the caved and water-conducted fracture zones, remains a significant challenge in longwall mining, as conventional monitoring methods often lack the spatial continuity and resolution for precise, full-profile strain measurement. Based on the hydrogeological data [...] Read more.

The accurate real-time delineation of overburden failure zones, specifically the caved and water-conducted fracture zones, remains a significant challenge in longwall mining, as conventional monitoring methods often lack the spatial continuity and resolution for precise, full-profile strain measurement. Based on the hydrogeological data of the E9103 working face in Hengjin Coal Mine, a numerical calculation model for the overburden strata of the E9103 working face was established to simulate and analyze the stress distribution, failure characteristics, and development height of the water-conducting fracture zones in the overburden strata of the working face. To address this problem, this study presents the application of a distributed optical fiber sensing (DOFS) system, centering on an innovative fiber installation technology. The methodology involves embedding the sensing fiber into boreholes within the overlying strata and employing grouting to achieve effective coupling with the rock mass, a critical step that restores the in situ geological environment and ensures measurement reliability. Field validation at the E9103 longwall face successfully captured the dynamic evolution of the strain field during mining. The results quantitatively identified the caved zone at a height of 13.1–16.33 m and the water-conducted fracture zone at 58–60.6 m. By detecting abrupt strain changes, the system enables the back-analysis of fracture propagation paths and the identification of potential seepage channels. This work demonstrates that the proposed DOFS-based monitoring system, with its precise spatial resolution and real-time capability, provides a robust scientific basis for the early warning of roof hazards, such as water inrushes, thereby contributing to the advancement of intelligent and safe mining practices. Full article

(This article belongs to the Section Surface Engineering for Energy Harvesting, Conversion, and Storage)

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22 pages, 2165 KB

Open AccessArticle

Adaptive Packetization Model (AABF+) and Microblocks for an Intelligent Atmospheric Emissions Monitoring System on a Consortium Blockchain

by Dilara Abzhanova and Andrii Biloshchytskyi

Information 2025, 16(11), 976; https://doi.org/10.3390/info16110976 - 11 Nov 2025

Abstract

Real-time monitoring of atmospheric emissions is critical for ensuring transparency, compliance, and rapid response to environmental risks. However, traditional systems often suffer from latency and a lack of verifiable data integrity. This paper presents AABF+, an adaptive packetization and microblock model built on [...] Read more.

Real-time monitoring of atmospheric emissions is critical for ensuring transparency, compliance, and rapid response to environmental risks. However, traditional systems often suffer from latency and a lack of verifiable data integrity. This paper presents AABF+, an adaptive packetization and microblock model built on a permissioned blockchain that supports intelligent emissions monitoring. The proposed system dynamically groups sensor readings into microblocks and commits them using Byzantine Fault Tolerant (BFT) consensus, enabling both high throughput and verifiable traceability. Unlike fixed-window blockchains, AABF+ adapts the microblock size and time window based on incoming data rates, balancing responsiveness and reliability. The model was implemented and experimentally evaluated in an edge-class 1 GbE testbed under real MRV (Measurement–Reporting–Verification) conditions. Results show that AABF+ achieves a median end-to-end latency of 0.96 s for single-record transactions and 3.07 s for 1000-record batches, while maintaining strong cryptographic verification of all entries. These findings demonstrate that AABF+ provides second-level data freshness with verifiable provenance, offering a practical foundation for digital environmental governance and regulatory compliance in Industry 4.0 ecosystems. Full article

(This article belongs to the Section Information Systems)

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18 pages, 1913 KB

Open AccessArticle

Primary and Booster COVID-19 Vaccination in Patients with Sjögren’s Disease: Data from the Longitudinal SAFER Cohort Study

by Maressa Barbosa Beloni Lirio, Ketty Lysie Libardi Lira Machado, Olindo Assis Martins-Filho, Samira Tatiyama Miyamoto, Yasmin Gurtler Pinheiro de Oliveira, Érica Vieira Serrano, José Geraldo Mill, Karina Rosemarie Lallemand Tapia, Lunara Baptista Ferreira, Juliana Ribeiro de Oliveira, Maria da Penha Gomes Gouvea, Laura Gonçalves Rodrigues Aguiar, Barbara Oliveira Souza, Vitor Alves Cruz, Ricardo Machado Xavier, Andréa Teixeira Carvalho, Viviane Angelina de Souza, Gilda Aparecida Ferreira, Odirlei André Monticielo, Edgard Torres dos Reis Neto, Emilia Inoue Sato, Gecilmara Salviato Pileggi and Valéria Valim Show full author list Hide full author list

Vaccines 2025, 13(11), 1152; https://doi.org/10.3390/vaccines13111152 (registering DOI) - 11 Nov 2025

Abstract

Introduction: The COVID-19 pandemic posed additional challenges for this vulnerable population, such as Sjögren’s disease (SjD), underscoring the need for effective and safe vaccination strategies. Objective: To evaluate the immunogenicity and safety of COVID-19 vaccines in patients with SjD. Methods: This prospective, observational, [...] Read more.

Introduction: The COVID-19 pandemic posed additional challenges for this vulnerable population, such as Sjögren’s disease (SjD), underscoring the need for effective and safe vaccination strategies. Objective: To evaluate the immunogenicity and safety of COVID-19 vaccines in patients with SjD. Methods: This prospective, observational, longitudinal study included SjD patients from the SAFER cohort. Immunogenicity was assessed via anti-spike IgG (IgG-S) titers using chemiluminescence reported as geometric mean titers (GMT) and fold increase in GMT (FI-GMT). Disease activity was evaluated using the ESSDAI score. Adverse events and COVID-19 infections were also monitored. Assessments were conducted at four time points: pre-first dose (T1), pre-second dose (T2), pre-booster (T3), and four weeks post-booster (T4). Primary vaccination involved ChAdOx1 nCoV-19 or inactivated vaccine (CoronaVac), and boosters were either homologous (ChAdOx1 nCoV-19) or heterologous (BNT162b2). Results: Among 51 participants (mean age 46 years; 90% female), 41% had comorbidities and 27% (n = 14/51) were highly immunosuppressed. Among those 73% (n = 37/51) under low immunosuppression, n = 8/51 (13%) were not using any medication. At baseline, 11% (n = 4/35) showed moderate/high disease activity, which decreased to 6.5% (n = 2/31) at T4. Primary vaccination was ChAdOx1 in 94% (n = 48/51) and CoronaVac in 6% (n = 3/51); 73% (n = 37/51) received heterologous and 27% (n = 14/51) homologous boosters. COVID-19 infection post-booster occurred in 20% (n = 10/51). Seroconversion rates reached nearly 100% across all medication subgroups except for biologic users, who showed delayed but stable seroconversion by T4. IgG-S titers increased progressively through T4. Primary immunization induced an ascending GMT in both vaccine types. At T4, the GMT was significantly higher in the BNT162b2 group (2148.03 [1452.05–3155.84]; p < 0.001; 95% CI) than in the ChAdOx1 group (324.29 [107.92–974.48]; p < 0.001; 95% CI); the fold-increase in immune response was six times greater with BNT162b2 (5.98 [2.97–12.03]; p = 0.001; 95% CI). Seroconversion was 100% in the heterologous group versus 83% in the homologous group (p > 0.01). Those with prior infection showed significantly higher titers, particularly at T2 and T3 (p < 0.001 for T1–T3). Adverse events were mild and not statistically significant. Multivariate regression confirmed BNT162b2 as an independent factor for higher antibody titers. Conclusion: COVID-19 vaccination in patients with SjD was safe and induced high anti-spike antibody titers and seropositivity. Heterologous boosting, particularly with BNT162b2, demonstrated superior immunogenicity. No association was found between vaccination and SjD disease flares or worsening activity. Full article

(This article belongs to the Section COVID-19 Vaccines and Vaccination)

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14 pages, 8180 KB

Open AccessArticle

Impact of Replicated Biomimetic Microstructures on the Wettability of Injection-Molded Polymer Surfaces

by Vojtěch Šorm, Jakub Bittner, Petr Lenfeld, Dora Kroisová and Štěpánka Dvořáčková

Biomimetics 2025, 10(11), 759; https://doi.org/10.3390/biomimetics10110759 (registering DOI) - 11 Nov 2025

Abstract

This article evaluates the influence of replicated natural structures, produced by micro-machining, on the wettability of plastic parts made from hydrophilic and hydrophobic polymer materials under various temperature and pressure conditions. Although many studies have focused on biomimetic surface design, the effect of [...] Read more.

This article evaluates the influence of replicated natural structures, produced by micro-machining, on the wettability of plastic parts made from hydrophilic and hydrophobic polymer materials under various temperature and pressure conditions. Although many studies have focused on biomimetic surface design, the effect of specific processing parameters on the accurate replication of natural topologies and their resulting wettability has been only partially explored. This study addresses this gap by systematically analyzing the effect of melt temperature and packing pressure on the functional replication of micro-machined biomimetic structures. The research describes the design of hierarchical microstructures inspired by biomimetics and their fabrication by micro-milling on molded parts. Test samples were prepared from polypropylene (PP), acrylonitrile butadiene styrene (ABS), and polyamide 6.6 (PA 6.6) under different processing parameters, and wettability was assessed using contact angle (CA) measurements. The results confirmed significant variations in surface wettability depending on polymer type, melt temperature, and packing pressure. For the hydrophilic relief (Rock Moss), contact angles below 90° were obtained for all tested polymers, including PP, which decreased from 98.7° on a flat surface to 82.4° at 220 °C and 500 bar. In PA 6.6, a reduction of up to 12% in contact angle was observed compared to smooth samples at 310 °C and 500 bar. For hydrophobic reliefs (Three-part Hibiscus and Tricolor Pansy), contact angles exceeded 100–110°, with the highest value of 108.3 ± 1.6° for PP at 200 °C and 500 bar. Suitable combinations of melt temperature and packing pressure enabled accurate replication of microstructures while preserving their functional wettability, demonstrating the possibility of tuning surface properties through topological design. Full article

(This article belongs to the Special Issue Bioinspired Engineered Systems)

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