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15 pages, 3786 KB

Open AccessArticle

Nanocomposites from β-Pinene and α-Pinene Copolymer: Synthesis, Characterization, and Antioxidant Evaluation

by Hodhaifa Derdar, Zakaria Cherifi, Geoffrey Robert Mitchell, Artur Mateus, Meziane Zerrouki, Naima Hammoudi, Khaldoun Bachari, Redouane Chebout, Fouzia Touahra, Abdelghani Bouchama, Amine Harrane and Rachid Meghabar

Polymers 2025, 17(17), 2378; https://doi.org/10.3390/polym17172378 (registering DOI) - 31 Aug 2025

Abstract

In this study, we present a novel and straightforward approach for the synthesis of copolymers and nanocomposites based on α- and β-pinene, employing an eco-friendly and cost-effective nano-reinforcing filler. The copolymers (α-co-β-P) were produced through cationic copolymerization, using AlCl₃ as a catalyst. [...] Read more.

In this study, we present a novel and straightforward approach for the synthesis of copolymers and nanocomposites based on α- and β-pinene, employing an eco-friendly and cost-effective nano-reinforcing filler. The copolymers (α-co-β-P) were produced through cationic copolymerization, using AlCl₃ as a catalyst. The structural characterization of the resulting copolymer was validated through FT-IR, ¹H-NMR spectroscopy, and differential scanning calorimetry (DSC). The molecular weight of the obtained polymer is determined by Gel Permeation Chromatography (GPC) analysis and is about 4500 g/mol. Nanocomposites (α-co-β-P/Clay 2, 5, 8, and 10% by weight of nano-clay) were synthesized by combining clay and α-co-β-P copolymer in solution using ultrasonic irradiation. This ultrasound-assisted method was employed to enhance and assess the structural, morphological, and thermal properties of the pure copolymer. The morphology of the resultant nanocomposites was characterized using infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Thermogravimetric analysis (TGA) revealed that the nanocomposites exhibit a higher degradation temperature compared to the pure copolymer. The analyses provided evidence of the chemical modification of nano-clay layers and their uniform dispersion in the α-co-β-P copolymer matrix. Exfoliated structures were achieved for lower clay concentration (2% by weight), while intercalated structures and immiscible regions were observed for higher clay concentrations (5, 8, and 10% by weight). The antioxidant activity of α-pinene, β-pinene, and the obtained nanocomposites were studied using DPPH (2,2-diphenyl-1-picrylhydrazyl) as a model free-radical. The results demonstrate a significant antioxidant potential of the nanocomposites, showcasing their ability to effectively neutralize free-radicals. Finally, a novel procedure was devised for the rapid synthesis of copolymers and nanocomposites using α- and β-pinene. Full article

(This article belongs to the Section Polymer Composites and Nanocomposites)

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16 pages, 1010 KB

Open AccessReview

Applications of Adipose Tissue Micrografts (ATM) and Dermis Micrografts (DMG) in Wound Healing: A Scoping Review of Clinical Studies

by Konstantinos Zapsalis, Orestis Ioannidis, Elissavet Anestiadou, Maria Pantelidou, Konstantinos Siozos, Christos Xylas, Georgios Gemousakakis, Angeliki Cheva, Chryssa Bekiari, Antonia Loukousia, Savvas Symeonidis, Stefanos Bitsianis, Manousos-Georgios Pramateftakis, Efstathios Kotidis, Ioannis Mantzoros and Stamatios Angelopoulos

Bioengineering 2025, 12(9), 948; https://doi.org/10.3390/bioengineering12090948 (registering DOI) - 31 Aug 2025

Abstract

Adipose tissue micrografts (ATM) and dermis micrografts (DMG) have emerged as promising autologous therapies in regenerative wound care, leveraging mechanically disaggregated cell–matrix constructs to modulate the wound microenvironment and promote tissue repair. This scoping review systematically analyzed clinical studies investigating ATMs and DMGs [...] Read more.

Adipose tissue micrografts (ATM) and dermis micrografts (DMG) have emerged as promising autologous therapies in regenerative wound care, leveraging mechanically disaggregated cell–matrix constructs to modulate the wound microenvironment and promote tissue repair. This scoping review systematically analyzed clinical studies investigating ATMs and DMGs in acute and chronic wounds. Eight studies, comprising randomized controlled trials, observational studies, and case series, were identified, involving diverse wound types such as burns, ulcers, surgical dehiscence, and posttraumatic defects. All interventions utilized mechanical disaggregation (Rigenera^® system) to produce micrografts, which were applied via perilesional injection, scaffold-assisted delivery, or topical administration. Outcomes consistently demonstrated accelerated re-epithelialization, enhanced angiogenesis, improved scar remodeling, and low complication rates. In select studies, micrografts were combined with platelet-rich fibrin or stromal vascular fraction, suggesting potential synergistic effects. While one randomized trial showed superior healing outcomes with DMGs over collagen scaffolds, others yielded mixed results, likely reflecting heterogeneity in methodology and outcome measures. Overall, the available clinical evidence supports the safety, feasibility, and biological activity of micrograft-based therapies. However, larger, standardized, and mechanistically driven studies are required to validate their efficacy and define optimal protocols across wound etiologies. Full article

(This article belongs to the Special Issue Recent Advancements in Wound Healing and Repair)

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27 pages, 5798 KB

Open AccessArticle

Bioengineered Chitosan–Collagen–Honey Sponges: Physicochemical, Antibacterial, and In Vitro Healing Properties for Enhanced Wound Healing and Infection Control

by David Servín de la Mora-López, Leticia Olivera-Castillo, Jaime López-Cervantes, Dalia I. Sánchez-Machado, Jesús Fernando Ayala-Zavala, Herlinda Soto-Valdez and Tomás J. Madera-Santana

Polymers 2025, 17(17), 2379; https://doi.org/10.3390/polym17172379 (registering DOI) - 31 Aug 2025

Abstract

Bacterial-mediated infections represent a major risk factor for chronic wounds. Numerous polymeric dressings have been proposed to reduce this incidence and promote wound healing. In the present investigation, chitosan/collagen/honey-based sponges were prepared by freeze-drying. The effect of honey incorporation at different concentrations on [...] Read more.

Bacterial-mediated infections represent a major risk factor for chronic wounds. Numerous polymeric dressings have been proposed to reduce this incidence and promote wound healing. In the present investigation, chitosan/collagen/honey-based sponges were prepared by freeze-drying. The effect of honey incorporation at different concentrations on the physicochemical and antibacterial properties of the sponges was evaluated. The SEM images showed that the surface and cross-sections of all samples had a porous structure. The pore size gradually increased in the range of 78.14 to 126.9 μm due to the increase in honey content in the sponges. This property resulted in considerably higher porosity degrees (79.90–90.13%) and absorption rates (ranges of 1357–1665% in deionized water and 865–1938% in PBS solution) in honey-loaded systems. Conversely, the honey composite formulations exhibited a reduction in permeability, with WVTR values ranging from 131.01 to 99.39 gh⁻¹m⁻² and values of WVP from 0.3255 to 0.2118 gm⁻¹d⁻¹mm Hg⁻¹. The mechanical properties showed that adding honey made the sponges more flexible (12.49–7.95% MPa) but decreased elongation rates in the sponges (16.36–7.56%) due to higher pore heterogeneity. The antibacterial tests indicated that all treatments had inhibitory effects against S. aureus, P. aeruginosa, E. coli, and L. monocytogenes. The results from cells viability assays and in vitro healing models using human keratinocytes demonstrate that chitosan/collagen/honey sponges represent a potential alternative for applications such as wound dressings to help treat skin ulcers. The physicochemical, antibacterial, and biocompatibility properties of chitosan/collagen/honey sponges indicated their potential as a promising alternative for clinical use. Full article

(This article belongs to the Special Issue Development and Application of Polymer Scaffolds, 2nd Volume)

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20 pages, 6600 KB

Open AccessArticle

Flow Separation Delay Mechanism and Aerodynamic Enhancement via Optimized Flow Deflector Configurations

by ShengGuan Xu, Siyi Wang, Hongquan Chen, Jianfeng Tan, Wei Li and Shuai Yin

Actuators 2025, 14(9), 428; https://doi.org/10.3390/act14090428 (registering DOI) - 31 Aug 2025

Abstract

This study explores the critical role of the flow deflector in suppressing boundary layer separation and enhancing aerodynamic efficiency through systematic geometric parameterization and computational analysis. By defining eight key design variables, this research identifies optimal configurations that significantly delay flow separation at [...] Read more.

This study explores the critical role of the flow deflector in suppressing boundary layer separation and enhancing aerodynamic efficiency through systematic geometric parameterization and computational analysis. By defining eight key design variables, this research identifies optimal configurations that significantly delay flow separation at high angles of attack. Computational Fluid Dynamics (CFD) simulations reveal that optimized deflector geometries enhance suction peaks near the airfoil leading edge, redirect separated flow toward the upper surface, and inject momentum into the boundary layer to generate a more positive lift coefficient. The numerical results demonstrate that the optimized design achieves a 58.4% increase in lift coefficient and an 83.3% improvement in the lift–drag ratio by effectively mitigating large-scale vortical structures inherent in baseline configurations. Sensitivity analyses further highlight threshold-dependent “sudden-jump” behaviors in lift coefficients for parameters such as element spacing and deflection angles, while thickness exhibits minimal influence. Additionally, pre-stall optimizations show that strategically aligned deflectors preserve baseline performance with a 0.4% lift gain, whereas misaligned configurations degrade aerodynamic efficiency by up to 9.1%. These findings establish a direct correlation between deflector-induced flow redirection and separation suppression, offering actionable insights for passive flow control in stalled regimes. This research advances fundamental understanding of flow deflector-based separation management and provides practical guidelines for enhancing aerodynamic performance in aerospace applications. Full article

(This article belongs to the Special Issue Active Flow Control: Recent Advances in Fundamentals and Applications—3rd Edition)

18 pages, 3234 KB

Open AccessArticle

Start-up Strategies of MBBR and Effects on Nitrification and Microbial Communities in Low-Temperature Marine RAS

by Jixin Yuan, Shuaiyu Lu, Jianghui Du, Kun You, Qian Li, Ying Liu, Gaige Liu, Jianlin Guo and Dezhao Liu

Appl. Sci. 2025, 15(17), 9610; https://doi.org/10.3390/app15179610 (registering DOI) - 31 Aug 2025

Abstract

The rapid development of marine recirculating aquaculture systems (RASs) worldwide offers an efficient and sustainable approach to aquaculture. However, the slow start-up of the nitrification process under low-temperature conditions remains a significant challenge. This study evaluated multiple start-up strategies for moving bed biofilm [...] Read more.

The rapid development of marine recirculating aquaculture systems (RASs) worldwide offers an efficient and sustainable approach to aquaculture. However, the slow start-up of the nitrification process under low-temperature conditions remains a significant challenge. This study evaluated multiple start-up strategies for moving bed biofilm reactors (MBBRs) operating at 13–15 °C. Among them, the salinity-gradient (SG) strategy exhibited the best performance, reducing the start-up time by 38 days compared to the control, with microbial richness (Chao1 index) reaching 396 and diversity (Shannon index) of 4.89. Inoculation with mature biofilm (MBI) also showed excellent results, shortening the start-up period by 26 days and achieving a stable total ammonia nitrogen (TAN) effluent concentration below 0.5 mg/L within 132 days. MBI exhibited the highest microbial richness (Chao1 index = 808) and diversity (Shannon index = 5.55), significantly higher than those of the control (Chao1 index = 279, Shannon index = 3.90) and other treatments. The hydraulic retention time-gradient (HRT) strategy contributed to performance improvement as well, with a 24-day reduction in start-up time and a Chao1 index of 663 and a Shannon index is 4.69. In contrast, nitrifying bacteria addition (NBA) and carrier adhesion layer modification (CALM) had limited effects on start-up efficiency or microbial diversity, with Chao1 indices of only 255 and 228, and Shannon indices were both 3.24, respectively. Overall, the results indicate that salinity acclimation, mature biofilm inoculation, and extended HRT are effective approaches for promoting microbial community adaptation and enhancing MBBR start-up under low-temperature marine conditions. Full article

(This article belongs to the Special Issue Trends and Prospects of Wastewater Treatment: Implications for Aquaculture and Water Quality)

15 pages, 921 KB

Open AccessArticle

The Clinical Characteristics, Treatment, and Prognosis of Lung Cancer in Young Patients in the New Era of Cancer Treatment: A Retrospective and Comprehensive Analysis

by Xiaoyi Feng, Shengjie Li, Siyuan Yu, Yunxin Liu, Zhanxian Peng, Haoran Zhang, Xiaoxing Gao, Xiaoyan Liu, Minjiang Chen, Jing Zhao, Wei Zhong, Yan Xu and Mengzhao Wang

Curr. Oncol. 2025, 32(9), 489; https://doi.org/10.3390/curroncol32090489 (registering DOI) - 31 Aug 2025

Abstract

Background: This study was aimed to comprehensively investigate the clinical and molecular characteristics, treatments, and outcomes of young patients with lung cancer in the new era of cancer treatment. Methods: Clinical data from patients aged 18 to 45 with lung cancer, treated at [...] Read more.

Background: This study was aimed to comprehensively investigate the clinical and molecular characteristics, treatments, and outcomes of young patients with lung cancer in the new era of cancer treatment. Methods: Clinical data from patients aged 18 to 45 with lung cancer, treated at our hospital from January 2014 through January 2024, were systematically collected and analyzed. Results: This study enrolled a total of 343 patients, with a predominance of females, never-smokers, and those diagnosed at an advanced stage. Adenocarcinoma was the most common histology (72.0%), and rare tumors could also be seen in young patients, such as pulmonary sarcomatoid carcinoma and pulmonary mucoepidermoid carcinoma. The mutation rate of the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) in NSCLC patients were 35.9% (111/309) and 14.2% (44/309), respectively. PD-L1 expression was assessed in 55 patients, with 14 showing high expression (≥50%) and 24 showing negative expression (<1%). The median overall survival (mOS) for the entire cohort was 80.2 months, with a 5-year survival rate of 55.7%. For patients with stage I, II, and III disease, the mOS had not yet been reached, whereas the mOS for stage IV patients was 39.7 months. Targeted therapy, particularly second-generation ALK tyrosine kinase inhibitors (TKIs), significantly improved the prognosis of patients with driver gene mutations. Chemotherapy combined with immunotherapy was beneficial for patients with progressive disease or driver gene negativity in NSCLC and was associated with improved OS in small cell lung cancer (SCLC). Female, family history of lung cancer, positive driver genes, and first-line use of second-generation ALK-TKIs are independent prognostic factors in young patients with advanced NSCLC. Conclusions: Our findings highlight the importance of early diagnosis, targeted therapy, and immunotherapy in improving outcomes for young patients with lung cancer. Full article

(This article belongs to the Section Thoracic Oncology)

12 pages, 2334 KB

Open AccessArticle

Mass Spectrometric Analysis of Antigenic Determinant Glycans of Soybean Glycoprotein Gly m Bd 30K

by Lingmei Li, Sidi Luo, You Wu, Xuefei Feng, Yuxin Ding and Yajuan Zhou

Molecules 2025, 30(17), 3571; https://doi.org/10.3390/molecules30173571 (registering DOI) - 31 Aug 2025

Abstract

Glycosylation of many proteins has been revealed to be closely related to food allergy, and screening and structural analysis of related glycoproteins are essential for studies in this important area. Gly m Bd 30K is one of the major allergens that exist in [...] Read more.

Glycosylation of many proteins has been revealed to be closely related to food allergy, and screening and structural analysis of related glycoproteins are essential for studies in this important area. Gly m Bd 30K is one of the major allergens that exist in soybeans. N-Glycans of the Gly m Bd 30K influenced the immunoreactivity and antigen-presenting efficiency. In this paper, soybean allergen glycoprotein Gly m Bd 30K was used as the research object. It was separated and purified by the combination of isoelectric point and Sepharose CL-6B gel. The glycoprotein was analyzed and identified by SDS-PAGE and MALDI-TOF MS. The N-glycans of Gly m Bd 30K glycoprotein were released and labeled by a newly developed one-pot method, and qualitatively and quantitatively analyzed by ESI-MSⁿ and HILIC-UV-MS/MS. The results showed that the purity of Gly m Bd 30K glycoprotein was 95%, and the relative molecular mass was 33,923 Da. The Gly m Bd 30K glycoprotein contained a total of six kinds of glycans, including two types: oligo-mannose type (4.3%) and paucimannose type (95.7%). The paucimannose modified with core α-1,3-fucose and β-1,2-xylose accounted for 92.87%. This study provides quality-reliable materials for the follow-up study of glycan sensitization and also provides a theoretical basis for the in-depth study of the specificity and biological function of the antigenic determinant of Gly m Bd 30K glycoprotein. Full article

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41 pages, 9317 KB

Open AccessSystematic Review

High-Resolution CT Findings in Interstitial Lung Disease Associated with Connective Tissue Diseases: Differentiating Patterns for Clinical Practice—A Systematic Review with Meta-Analysis

by Janet Camelia Drimus, Robert Cristian Duma, Daniel Trăilă, Corina Delia Mogoșan, Diana Luminița Manolescu and Ovidiu Fira-Mladinescu

J. Clin. Med. 2025, 14(17), 6164; https://doi.org/10.3390/jcm14176164 (registering DOI) - 31 Aug 2025

Abstract

Objectives: Connective tissue diseases (CTDs) include a diverse group of systemic autoimmune conditions, among which interstitial lung disease (ILD) is acknowledged as a major determinant of prognosis. High-resolution computed tomography (HRCT) is the gold standard for ILD assessment. The distribution of HRCT [...] Read more.

Objectives: Connective tissue diseases (CTDs) include a diverse group of systemic autoimmune conditions, among which interstitial lung disease (ILD) is acknowledged as a major determinant of prognosis. High-resolution computed tomography (HRCT) is the gold standard for ILD assessment. The distribution of HRCT patterns across CTDs remain incompletely defined. The objective of this systematic review is to synthesize available evidence regarding the prevalence of specific radiological patterns within CTD-ILDs and to assess whether specific patterns occur at different frequencies among individual CTDs. Methods: The inclusion criteria encompassed original human studies published in English between 2015 and 2024, involving adult participants (≥18 years) with CTD-ILDs assessed primarily by HRCT and designed as retrospective, prospective, or cross-sectional trials with extractable data. We systematically searched PubMed, Scopus, and Web of Science (January 2025). Risk of bias was evaluated using the Newcastle–Ottawa Scale (NOS) for cohort and case–control studies, and the JBI Critical Appraisal Checklist for cross-sectional studies. Data were extracted and categorized by HRCT pattern for each CTD, and then summarized descriptively and statistically. Results: We analyzed 23 studies published between 2015 and 2024, which included 2020 patients with CTD-ILDs. The analysis revealed non-specific interstitial pneumonia (NSIP) as the most prevalent pattern overall (36.5%), followed by definite usual interstitial pneumonia (UIP) (24.8%), organizing pneumonia (OP) (9.8%) and lymphoid interstitial pneumonia (LIP) (1.25%). HRCT distribution varied by CTD: NSIP predominated in systemic sclerosis, idiopathic inflammatory myopathies, and mixed connective tissue disease; UIP was most frequent in rheumatoid arthritis; LIP was more common in Sjögren’s syndrome. While global differences were statistically significant, pairwise comparisons often lacked significance, likely due to sample size constraints. Discussion: Limitations include varying risk of bias across study designs, heterogeneity in HRCT reporting, small sample sizes, and inconsistent follow-up, which may reduce precision and generalizability. In addition to the quantitative synthesis, this review offers a detailed description of each radiologic pattern mentioned above, illustrated by representative examples to support the recognition in clinical settings. Furthermore, it includes a brief overview of the major CTDs associated with ILD, summarizing their epidemiological data, risk factors for ILD and clinical presentation and diagnostic recommendations. Conclusions: NSIP emerged as the most common HRCT pattern across CTD-ILDs, with UIP predominating in RA. Although inter-disease differences were observed, statistical significance was limited, likely reflecting sample size constraints. These findings emphasize the diagnostic and prognostic relevance of HRCT pattern recognition and highlight the need for larger, standardized studies. Full article

(This article belongs to the Special Issue Advances in Pulmonary Disease Management and Innovation in Treatment)

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17 pages, 3046 KB

Open AccessArticle

A New Approach in Hydrometallurgy for the Solvent Extraction of Cu(II) from Alkaline Solutions Leached with Tartrate Using Phenyl-2-Pyridyl Ketoxime

by Félix José Sueros Velarde, Jhon Alfredo Quispe Ortiz and Angela F. Danil de Namor

Metals 2025, 15(9), 977; https://doi.org/10.3390/met15090977 (registering DOI) - 31 Aug 2025

Abstract

For the first time, an alternative and sustainable approach is reported using phenyl-2-pyridyl ketoxime (PPKO) as a selective extracting agent for the recovery of Cu(II) from alkaline solutions in the presence of tartrate ions. The advantages relative to conventional processes carried out in [...] Read more.

For the first time, an alternative and sustainable approach is reported using phenyl-2-pyridyl ketoxime (PPKO) as a selective extracting agent for the recovery of Cu(II) from alkaline solutions in the presence of tartrate ions. The advantages relative to conventional processes carried out in acidic media are outlined. Through potentiometric and spectrophotometric analyses, the sequential formation of a 1:2 metal cation–ligand Cu(II)-(PPKO)₂ complex was identified as the predominant species in alkaline aqueous solutions. The high removal capacity of the extractant for Cu(II), as assessed from liquid–liquid extraction, and its efficient performance are comparable to widely used commercial extractants. Thermodynamic studies of the complexation between the copper(II) ion and PPKO demonstrated that the process exhibits an endothermic character. A progressive decrease in the performance of the extractant was observed after reuse without a regenerative treatment. This deterioration was partially reversed through a controlled reprotonation process using an acetate buffer solution. Overall, the results support the potential of PPKO as an effective and selective alternative ligand for hydrometallurgical applications in alkaline medium. Full article

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22 pages, 1433 KB

Open AccessReview

Harnessing Opportunities, Constraints, and Implications of Integrating Environmental Conservation with Sustainable Ruminant Production

by Chenaimoyo Lufutuko Faith Katiyatiya and Thobeka Ncanywa

Environments 2025, 12(9), 308; https://doi.org/10.3390/environments12090308 (registering DOI) - 31 Aug 2025

Abstract

The growing demand for animal products exerts pressure on the livestock sector to increase production while minimizing its impact on the environment. The paper explored the impact of ruminant production systems on the environment and opportunities for enhancing production and environmental conservation. A [...] Read more.

The growing demand for animal products exerts pressure on the livestock sector to increase production while minimizing its impact on the environment. The paper explored the impact of ruminant production systems on the environment and opportunities for enhancing production and environmental conservation. A comprehensive review of literature on livestock production, animal nutrition, and environmental conservation was conducted. The review shows that the challenges of ruminant production on the ecosystem are centered around greenhouse gas emissions, land degradation, and water and feed resources. However, manipulation of animal feeding strategies, rotational grazing, precision farming, and integration of crop-livestock systems have the potential to enhance feed efficiency, reduce waste, improve animal health, and nutrition and reduce nitrogen and methane gas emissions. This will also improve manure management, soil health, and biodiversity, which are essential in climate resilience building and resource management by farmers. Development of effective strategies for enhancing animal nutrition and ruminant production while conserving the ecosystem is important. Full article

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18 pages, 394 KB

Open AccessArticle

Practice, Profit, and Public Good: Temple Economies and Social Enterprises in Korean Buddhism

by Junghyun Kwon

Religions 2025, 16(9), 1139; https://doi.org/10.3390/rel16091139 (registering DOI) - 31 Aug 2025

Abstract

In contemporary Korea, particularly within the Jogye Order of Korean Buddhism, temple revenue relies on two primary sources: donations and production activities. With declining religious participation, donations alone are no longer sufficient for temple sustainability. In response, many temples have diversified into non-religious [...] Read more.

In contemporary Korea, particularly within the Jogye Order of Korean Buddhism, temple revenue relies on two primary sources: donations and production activities. With declining religious participation, donations alone are no longer sufficient for temple sustainability. In response, many temples have diversified into non-religious economic ventures—an approach that, while controversial, has historical precedent. Pre-modern Korean temples actively contributed to local economies and public welfare through various productive roles. A notable recent development is the rise of Buddhist social enterprises, which aim to reconcile financial sustainability with core Buddhist values. This paper examines two interrelated dimensions: first, the historical role of Korean Buddhist temples as economic actors and social welfare providers; second, the emergence of Buddhist social enterprises as a modern model for sustainable temple economies. The paper highlights their potential to balance spiritual integrity with economic viability while acknowledging the challenges they face in achieving broader institutional and public support. Full article

18 pages, 1652 KB

Open AccessArticle

Design and Experimental Validation of the Profiling Cutting Platform for Tea Harvesting

by Hang Zheng, Ning Ren, Tong Fu, Bin Chen, Zhaowei Hu and Guohong Yu

Agriculture 2025, 15(17), 1866; https://doi.org/10.3390/agriculture15171866 (registering DOI) - 31 Aug 2025

Abstract

The low quality of mechanized tea harvesting in China’s hilly plantations, often caused by irregular canopy morphology, necessitates improved technology. This study addresses this issue by proposing a contact-based profiling mechanism and a corresponding control method for tea cutting platforms. This cutting platform [...] Read more.

The low quality of mechanized tea harvesting in China’s hilly plantations, often caused by irregular canopy morphology, necessitates improved technology. This study addresses this issue by proposing a contact-based profiling mechanism and a corresponding control method for tea cutting platforms. This cutting platform mainly consists of a canopy profiling mechanism, a tea harvesting unit, a lifting actuator, and a control system, containing a mathematical model correlating the tea canopy pose with sensor signals. Following a theoretical analysis of key components of the profiling device, we determined their structural parameters. Subsequently, a profiling control strategy was formulated, and an automatic control system for the profiling cutting platform was developed. Finally, a prototype was constructed and subjected to experimental validation to assess the dynamic characteristics of its pose adjustment and its profiling-based harvesting performance. The results of this experiment illustrate that after implementing the profiling system, the proportion of time the cutting blade remained in an optimal cutting position increased from 26.5% to 95.0%, an improvement of 68.5%, demonstrating that the system successfully achieves its design objective of the adaptive profiling apparatus in response to variation in canopy morphology. In addition, the integrity rate of harvested tea leaves increased from 50.7% without profiling to 74.6% with profiling, an improvement of 47.1%, which indicates the good performance of this profiling cutting platform. Therefore, this research provides a valuable reference for the design of intelligent tea harvesting machinery for the hilly tea plantations in China. Full article

(This article belongs to the Section Agricultural Technology)

18 pages, 5039 KB

Open AccessArticle

Dual-Network Thermal-Insulating and Flame-Retardant Cellulose Aerogel Fabricated via Ambient Pressure Drying

by Zhengsong Wu, Yucheng Gao, Shibin Nie, Dongyue Zhao and Xudong Cheng

Polymers 2025, 17(17), 2377; https://doi.org/10.3390/polym17172377 (registering DOI) - 31 Aug 2025

Abstract

Cellulose aerogel is a promising thermal insulation material with terrific thermal insulation and environmental friendliness. However, the intrinsic flammability of polysaccharide molecules and dependence on freeze-drying have limited its application in flame-retardant and thermal management systems. Here, we develop a flame-retardant biomass aerogel [...] Read more.

Cellulose aerogel is a promising thermal insulation material with terrific thermal insulation and environmental friendliness. However, the intrinsic flammability of polysaccharide molecules and dependence on freeze-drying have limited its application in flame-retardant and thermal management systems. Here, we develop a flame-retardant biomass aerogel based on a dual-network matrix of bacterial cellulose and sodium alginate. This innovative material enables high-efficiency and low-cost preparation via ambient pressure drying technology (only ~3.5% volume shrinkage), while achieving flame retardancy by introducing an inorganic nanosheet microstructure within a polymer matrix. The resulting dual-network flame-retardant cellulose aerogel demonstrates thermal performance superior to that of most polymer foams and conventional cellulose aerogels, featuring an ultra-low thermal conductivity of ~0.04 W m⁻¹ K⁻¹ and a high limiting oxygen index (LOI) of ~69%. This research provides a novel strategy for simultaneous flame-retardant modification and energy-efficient manufacturing of biomass-derived aerogels. Full article

(This article belongs to the Section Biobased and Biodegradable Polymers)

20 pages, 2392 KB

Open AccessArticle

Antibiofilm Activity of a Novel Calcium Phosphate Cement Doped with Two Antibiotics

by Eneko Elezgaray, Cassandra Pouget, Fanny Salmeron, Catherine Flacard, Jean-Philippe Lavigne, Vincent Cavaillès and Mikhael Bechelany

J. Funct. Biomater. 2025, 16(9), 320; https://doi.org/10.3390/jfb16090320 (registering DOI) - 31 Aug 2025

Abstract

This study presents the development of a degradable and biocompatible calcium phosphate cement (CPC) co-loaded with gentamicin (1.25 wt%) and vancomycin (4.25 wt%) for the local treatment of polymicrobial bone infections. The antibiotics were incorporated —individually or in combination—into the solid phase of [...] Read more.

This study presents the development of a degradable and biocompatible calcium phosphate cement (CPC) co-loaded with gentamicin (1.25 wt%) and vancomycin (4.25 wt%) for the local treatment of polymicrobial bone infections. The antibiotics were incorporated —individually or in combination—into the solid phase of Graftys ^®Quickset (GQS), an injectable CPC. Antibiotic loading modifies some of the intrinsic properties of the GQS cement. Porosity exceeded 53%, compressive strength reduced around 5 MPa, which is comparable to calcium sulphates cements, and the setting time, although extended, remained within the clinically acceptable threshold (<20 min), ensuring suitable handling. A burst release of both antibiotics was observed within the first 24 h, with sustained release over time and no cytotoxic effects on human osteoblasts. The dual-loaded cement exhibited broad-spectrum antibacterial activity against both Gram-positive and Gram-negative strains, including methicillin-resistant isolates, in both planktonic and biofilm forms. Notably, the combination of both antibiotics demonstrated superior efficacy compared to either antibiotic alone. These findings suggest that this dual-antibiotic-loaded CPC offers a promising strategy for localised treatment of complex bone infections such as osteomyelitis, where polymicrobial involvement and antibiotic resistance pose significant therapeutic challenges. Full article

(This article belongs to the Section Bone Biomaterials)

25 pages, 1892 KB

Open AccessArticle

B-Scan Imaging and 3D Visualization of Hardened Layer Depth Profile in Linear Guide Rails Based on Ultrasonic Shear Wave Backscattering Technique

by Peiqiang Chen, Lingtong Chen, Mingyang Xue and Chenlong Yang

Acoustics 2025, 7(3), 55; https://doi.org/10.3390/acoustics7030055 (registering DOI) - 31 Aug 2025

Abstract

In order to measure the depth profile of the heat-treated case-hardened layer of linear guides, this paper proposes a B-scan imaging and 3D visualization method for detecting the depth profile of the case-hardened layer of linear guides based on the ultrasonic transverse wave [...] Read more.

In order to measure the depth profile of the heat-treated case-hardened layer of linear guides, this paper proposes a B-scan imaging and 3D visualization method for detecting the depth profile of the case-hardened layer of linear guides based on the ultrasonic transverse wave backscattering technology. Firstly, by analyzing the generation mechanism of ultrasonic transverse waves and their advantages in material detection, and combining the differences in metallographic structure and hardness properties between the case-hardened layer and the base material, an ultrasonic transverse wave backscattering model for the case-hardened layer of linear guides was established. Then, an ultrasonic transverse wave detection experiment for the GH20 linear guide was designed and carried out to obtain the A-scan signals of the case-hardened layer depth at different positions on the cross-section of the linear guide. Finally, the A-scan signals obtained from the detection were used to generate the B-scan image of the case-hardened layer depth profile, and the 3D visualization of the case-hardened layer of the linear guide was achieved using Python and VTK tools. The experimental results show that the error between the measurement results of ultrasonic transverse waves and those of the metallographic method is 0.063 mm, and the detection results are within the allowable error range. This research provides an efficient, intuitive, and reliable technical method for detecting the depth of the case-hardened layer of linear guides in the industrial field. Full article

17 pages, 2180 KB

Open AccessArticle

Complete Chloroplast Genome Features and Phylogenetic Analysis of Linum usitatissimum L.

by Qingqing Ji, Guanghui Du, Xingcai An, Junyuan Dong, Xiahong Luo, Changli Chen, Tingting Liu, Lina Zou, Shaocui Li, Jikang Chen and Xia An

Genes 2025, 16(9), 1038; https://doi.org/10.3390/genes16091038 (registering DOI) - 31 Aug 2025

Abstract

Background: The chloroplast genome provides rich genetic information for plant evolutionary studies. This study aimed to assemble, annotate, and analyze the complete chloroplast genome of flax cultivar ‘Longya 15’ (Linum usitatissimum L.) and clarify its phylogenetic relationships with other Linaceae species. Methods: [...] Read more.

Background: The chloroplast genome provides rich genetic information for plant evolutionary studies. This study aimed to assemble, annotate, and analyze the complete chloroplast genome of flax cultivar ‘Longya 15’ (Linum usitatissimum L.) and clarify its phylogenetic relationships with other Linaceae species. Methods: We assembled and annotated the chloroplast genome of ‘Longya 15’ and retrieved chloroplast genomes of related species (e.g., Linum grandiflorum NC_058845.1, Linum lewisii NC_058799.1) from the NCBI database for phylogenetic analysis. Results: The chloroplast genome of ‘Longya 15’ was a 157,074-bp quadripartite structure with 37.42% GC content, encoding 128 genes (83 mRNAs, 37 tRNAs, 8 rRNAs) without pseudogenes. It showed codon bias for leucine (28 codons with RSCU > 1, ending in A/U), 260 dispersed repeats, and 240 SSRs. Ka/Ks analysis revealed purifying selection for most genes, while rps18 and ycf2 had positive selection. ycf1 was identified as the hypervariable region (pi = 0.25024). Phylogenetically, it clustered closest with Linum grandiflorum, followed by L. lewisii and L. perenne, and was related to Hypericum species. Conclusions: This is the first fine assembly and annotation of ‘Longya 15’ chloroplast genome, confirming no pseudogenes in flax chloroplast. It elucidates flax chloroplast genome conservation and evolutionary dynamics, enriches the database, and provides a foundation for Linaceae phylogenetics, germplasm development, and stress-resistant breeding. Full article

(This article belongs to the Special Issue Genetic and Functional Genomics Insights into the Genetic Improvement of Stress Resistance in Economic Crops)

18 pages, 518 KB

Open AccessArticle

Fakhr al-Dīn al-Rāzī on the Existence and Nature of the Jinn

by Shoaib Ahmed Malik

Religions 2025, 16(9), 1141; https://doi.org/10.3390/rel16091141 (registering DOI) - 31 Aug 2025

Abstract

This article reconstructs Fakhr al-Dīn al-Rāzī’s (d. 1210) systematic treatment of the jinn in his Great Exegesis (al-Tafsīr al-Kabīr) and his summa The Sublime Objectives in Metaphysics (al-Maṭālib al-ʿĀliya min al-ʿIlm al-Ilāhī). In these works, al-Rāzī treats the jinn [...] Read more.

This article reconstructs Fakhr al-Dīn al-Rāzī’s (d. 1210) systematic treatment of the jinn in his Great Exegesis (al-Tafsīr al-Kabīr) and his summa The Sublime Objectives in Metaphysics (al-Maṭālib al-ʿĀliya min al-ʿIlm al-Ilāhī). In these works, al-Rāzī treats the jinn not as a marginal curiosity but as a test case for probing core metaphysical categories such as substance, embodiment, and divine action. His analysis unfolds through a sequence of guiding questions. Do the jinn exist at all? If not, we arrive at (1) the Denialist View. If they do exist, they must be either immaterial or material. The first yields (2) the Immaterialist View. The second raises the further question of whether bodies differ in essence or share a single essence. If they differ, we arrive at (3) the Non-Essentialist Corporealist View. Notably, these first three views are associated, in different ways, with various figures in the falsafa tradition. If they share a single essence, this produces the Essentialist Corporealist position, which then divides according to whether bodily structure is metaphysically necessary for life and agency. If not necessary, this produces (4) the Essentialist Corporealist—Structural Independence View, associated with the Ashʿarīs. If necessary, it leads to (5) the Essentialist Corporealist—Structural Dependence View, associated with the Muʿtazilīs. Al-Rāzī rejects (1) and (5), but he leaves (2), (3), and (4) as live possibilities. While he shows greater sympathy for (4), his broader purpose is not to settle the matter but to map the full range of theological and philosophical options. Al-Rāzī’s comprehensive exposition reflects the wider dialectic between falsafa, Ashʿarī theology, and Muʿtazilī theology, showcasing a sophisticated willingness to engage and entertain multiple metaphysical possibilities side by side. The result is an exercise in systematic metaphysics, where the question of the jinn, as liminal beings, becomes a means for interrogating broader ontological commitments in Islamic theology and philosophy. Full article

(This article belongs to the Special Issue Between Philosophy and Theology: Liminal and Contested Issues)

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24 pages, 2940 KB

Open AccessArticle

Spatio-Temporal Evolution Characteristics of Land Consolidation in the Coastal Regions: A Typical Case Study of Lianyungang, China

by Qiaochu Liu, Yonghu Fu, Gan Teng, Jianyuan Ma, Yu Yao and Longqian Chen

Land 2025, 14(9), 1776; https://doi.org/10.3390/land14091776 (registering DOI) - 31 Aug 2025

Abstract

Understanding the spatio-temporal evolution of land consolidation is essential for optimizing regional land resource allocation and mitigating human–land conflicts during socio-economic development. This study introduced a novel framework for analyzing such patterns in China. Utilizing a two-decade (2002–2022) prefecture-level city dataset of land [...] Read more.

Understanding the spatio-temporal evolution of land consolidation is essential for optimizing regional land resource allocation and mitigating human–land conflicts during socio-economic development. This study introduced a novel framework for analyzing such patterns in China. Utilizing a two-decade (2002–2022) prefecture-level city dataset of land consolidation projects in Lianyungang, Jiangsu Province, we developed a “land consolidation intensity” metric and applied quantitative techniques—including land use transfer matrices, landscape pattern indices, Sankey diagrams, and standard deviation ellipses—to assess spatio-temporal dynamics and centroid shifts. Key findings included: (1) Land consolidation intensity exhibited distinct stages, evolving from initial development to rapid growth and eventual stabilization, closely aligning with national policy shifts. (2) The primary sources for supplemented cultivated land were ponds, rivers, and tidal flats, followed by grassland, construction land, and forest land, with cultivated land consistently dominating the consolidated landscape. (3) Land consolidation projects distribution concentrated in economic and political centers, with a spatial shift from inland western region towards the eastern coastal region. (4) Gray relational analysis identified economic development as the predominant driver, with policy and social factors providing secondary guidance. This research elucidates the spatio-temporal evolution characteristics of land consolidation at the prefecture-level city and demonstrates the utility of the proposed framework for similar analyses, offering insights relevant to national land use planning and policy formulation. Full article

(This article belongs to the Special Issue Advances in Land Consolidation and Land Ecology (Second Edition))

22 pages, 5741 KB

Open AccessArticle

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet

by Abdullah Mamun, Asiful Arefeen, Susan B. Racette, Dorothy D. Sears, Corrie M. Whisner, Matthew P. Buman and Hassan Ghasemzadeh

Sensors 2025, 25(17), 5372; https://doi.org/10.3390/s25175372 (registering DOI) - 31 Aug 2025

Abstract

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after consuming a meal, is a critical indicator of progression toward type 2 diabetes in people with prediabetes and in healthy individuals. A key metric for understanding blood glucose dynamics after [...] Read more.

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after consuming a meal, is a critical indicator of progression toward type 2 diabetes in people with prediabetes and in healthy individuals. A key metric for understanding blood glucose dynamics after eating is the postprandial Area Under the Curve (AUC). Predicting postprandial AUC in advance based on a person’s lifestyle factors, such as diet and physical activity level, and explaining the factors that affect postprandial blood glucose could allow an individual to adjust their behavioral choices accordingly to maintain normal glucose levels. In this work, we develop an explainable machine learning solution, GlucoLens, that takes sensor-driven inputs and utilizes advanced data processing, large language models, and trainable machine learning models to estimate postprandial AUC and predict hyperglycemia from diet, physical activity, and recent glucose patterns. We use data obtained using wearables in a five-week clinical trial of 10 adults who worked full-time to develop and evaluate the proposed computational model that integrates wearable sensing, multimodal data, and machine learning. Our machine learning model takes multimodal data from wearable activity and glucose monitoring sensors, along with food and work logs, and provides an interpretable prediction of the postprandial glucose patterns. GlucoLens achieves a normalized root mean squared error (NRMSE) of 0.123 in its best configuration. On average, the proposed technology provides a 16% better predictive performance compared to the comparison models. Additionally, our technique predicts hyperglycemia with an accuracy of 79% and an F1 score of 0.749 and recommends different treatment options to help avoid hyperglycemia through diverse counterfactual explanations. With systematic experiments and discussion supported by established prior research, we show that our method is generalizable and consistent with clinical understanding. Full article

(This article belongs to the Special Issue Sensors for Unsupervised Mobility Assessment and Rehabilitation)

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16 pages, 4916 KB

Open AccessArticle

Adaptive Robotic Deburring of Molded Parts via 3D Vision and Tolerance-Constrained Non-Rigid Registration

by Zuping Zhou, Zhilin Sun and Pengfei Luo

J. Manuf. Mater. Process. 2025, 9(9), 294; https://doi.org/10.3390/jmmp9090294 (registering DOI) - 31 Aug 2025

Abstract

This paper introduces an innovative automatic trajectory generation method for the robotic deburring of molded parts, effectively addressing challenges posed by burr defects and workpiece deformation common in casting and injection molding processes. Existing offline trajectory planning methods often struggle with substantial burr [...] Read more.

This paper introduces an innovative automatic trajectory generation method for the robotic deburring of molded parts, effectively addressing challenges posed by burr defects and workpiece deformation common in casting and injection molding processes. Existing offline trajectory planning methods often struggle with substantial burr sizes and complex surface deformations, resulting in compromised machining quality due to over-adaptation. To overcome these issues, the proposed approach utilizes 3D vision techniques to achieve precise burr localization. A novel burr point cloud segmentation method based on feature analysis, combined with a tolerance-constrained non-rigid registration algorithm, accurately identifies burr regions and optimizes trajectory positioning within defined manufacturing tolerances. Furthermore, the method employs quantitative burr height distribution analysis to dynamically adjust robotic feed rates, significantly enhancing processing efficiency. Experimental validations demonstrated that the proposed method reduces the deburring time by up to 68% compared to conventional techniques, achieving an average trajectory deviation of only 0.79 mm. This study provides a robust, efficient, and precise solution for automating deburring operations in complex molded components, highlighting its substantial potential for industrial applications. Full article

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9 pages, 453 KB

Open AccessArticle

Taking a Stand: A Prospective Study on the Influence of Posture on Urodynamic Studies in Older Patients

by Andries Van Huele, George Bou Kheir, Alan Wein, Veerle Decalf, Thomas F. Monaghan, François Hervé and Karel Everaert

Medicina 2025, 61(9), 1576; https://doi.org/10.3390/medicina61091576 (registering DOI) - 31 Aug 2025

Abstract

Background and Objectives: Urinary incontinence (UI) is a prevalent issue among older adults and may require urodynamic studies (UDSs) for accurate diagnosis. However, these procedures can be uncomfortable and time-consuming, especially in a geriatric population, where certain practical restrictions may apply. This study [...] Read more.

Background and Objectives: Urinary incontinence (UI) is a prevalent issue among older adults and may require urodynamic studies (UDSs) for accurate diagnosis. However, these procedures can be uncomfortable and time-consuming, especially in a geriatric population, where certain practical restrictions may apply. This study examines whether posture of filling cystometry during UDSs in an older patient group affects diagnostic outcomes and whether a single UDS in one posture is sufficient for a reliable diagnosis or if multiple postures provide added value. Materials and Methods: This is a secondary analysis of the Think Dry: Optimalisation of Diagnostic Process of Urinary Incontinence in Older People study (NCT04094753), a prospective observational cohort study. Each patient underwent both sitting and standing filling cystometry during UDS. The final diagnosis was determined by the referring urologist by integrating results from both the sitting and standing groups alongside all available clinical data. Subsequently, each separate UDS was reviewed independently by a second, blinded, urologist, and a diagnosis was established based on a single UDS. The agreement between these independent diagnoses and the final diagnosis was then evaluated using Cohen’s kappa coefficient (κ). Results: Results from the UDS with the standing filling cystometry had an almost perfect agreement (κ = 0.92) with the final diagnosis, compared to only a moderate agreement (κ = 0.42) while sitting. Conclusions: UDS with standing filling cystometry may be sufficient for an accurate diagnosis, potentially eliminating the need for additional filling cystometry in the sitting position. By streamlining the diagnostic process, this approach could enhance efficiency, reduce patient burden, and optimize resource utilization in older adults. Full article

(This article belongs to the Section Urology & Nephrology)

16 pages, 4878 KB

Open AccessArticle

Mechanical Behavior Analysis of Neural Electrode Arrays Implantation in Brain Tissue

by Xinyue Tan, Bei Tong, Kunyang Zhang, Changmao Ni, Dengfei Yang, Zhaolong Gao, Yuzhao Huang, Na Yao and Li Huang

Micromachines 2025, 16(9), 1010; https://doi.org/10.3390/mi16091010 (registering DOI) - 31 Aug 2025

Abstract

Understanding the mechanical behavior of implanted neural electrode arrays is crucial for BCI development, which is the foundation for ensuring surgical safety, implantation precision, and evaluating electrode efficacy and long-term stability. Therefore, a reliable FE models are effective in reducing animal experiments and [...] Read more.

Understanding the mechanical behavior of implanted neural electrode arrays is crucial for BCI development, which is the foundation for ensuring surgical safety, implantation precision, and evaluating electrode efficacy and long-term stability. Therefore, a reliable FE models are effective in reducing animal experiments and are essential for a deeper understanding of the mechanics of the implantation process. This study established a novel finite element model to simulate neural electrode implantation into brain tissue, specifically characterizing the nonlinear mechanical responses of brain tissue. Synchronized electrode implantation experiments were conducted using ex vivo porcine brain tissue. The results demonstrate that the model accurately reproduces the dynamics of the electrode implantation process. Quantitative analysis reveals that the implantation force exhibits a positive correlation with insertion depth, the average implantation force per electrode within a multi-electrode array decreases with increasing electrode number, and elevation in electrode size, shank spacing, and insertion speed each contribute to a systematic increase in insertion force. This study provides a reliable simulation tool and in-depth mechanistic analysis for predicting the implantation forces of high-density neural electrode arrays and offer theoretical guidance for optimizing BCI implantation device design. Full article

(This article belongs to the Special Issue Current Trends in Microneedles: Design, Fabrication and Applications)

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13 pages, 1819 KB

Open AccessArticle

Human-like Biofilm Models to Study the Activity of Antifungals Against Aspergillus fumigatus

by Dan-Tiberiu Furnica, Julia Falkenstein, Silke Dittmer, Joerg Steinmann, Peter-Michael Rath and Lisa Kirchhoff

Microorganisms 2025, 13(9), 2040; https://doi.org/10.3390/microorganisms13092040 (registering DOI) - 31 Aug 2025

Abstract

Aspergillus fumigatus is an opportunistic filamentous fungus that primarily affects the respiratory tract of the human body. Depending on its host’s immune response, the pathogen can cause invasive pulmonary aspergillosis (IPA). Biofilm formation by A. fumigatus increases virulence and resistance against antifungals and [...] Read more.

Aspergillus fumigatus is an opportunistic filamentous fungus that primarily affects the respiratory tract of the human body. Depending on its host’s immune response, the pathogen can cause invasive pulmonary aspergillosis (IPA). Biofilm formation by A. fumigatus increases virulence and resistance against antifungals and immune response and is one important factor in IPA development. Here, two human-like models, precision cut lung slices (PCLS) and a biofilm co-culture model, have been developed to test the anti-biofilm activity of voriconazole, amphotericin B, as well as luliconazole against A. fumigatus. In both assays, metabolically active A. fumigatus biofilms were examined at different biofilm developmental stages using an XTT assay. A decrease in the metabolic activity of the fungal biofilms was detected for each of the tested agents in both assays. Significant anti-biofilm effects exist against early-stage biofilm in the co-culture model. In the PCLS assay, amphotericin B showed the strongest inhibition after 24 h. In conclusion, the applied PCLS ex vivo model can be used to study the property and activity of certain antifungal compounds against Aspergillus biofilm. With its close resemblance to human conditions, the PCLS model has the potential for improving the current understanding of biofilm treatments in laboratory settings. Full article

(This article belongs to the Special Issue Fungal Infections and Antifungal Agents)

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25 pages, 7989 KB

Open AccessTechnical Note

Gust Factors in Aerodrome Weather and Climate Assessment

by Michael Splitt and Steven Lazarus

Meteorology 2025, 4(3), 24; https://doi.org/10.3390/meteorology4030024 (registering DOI) - 31 Aug 2025

Abstract

Wind gustiness at airports, which is generally determined using gust factors, is impactful across a range of considerations from piloting to airport planning. Yet advisory materials to help assess their quality and representativeness, particularly for aviators, are limited. To address this, a climatological [...] Read more.

Wind gustiness at airports, which is generally determined using gust factors, is impactful across a range of considerations from piloting to airport planning. Yet advisory materials to help assess their quality and representativeness, particularly for aviators, are limited. To address this, a climatological analysis of both gust factors is conducted using Automated Surface Observing System (ASOS) wind observations. Data for multi-year periods at selected airports in the United States are used to assess their site representativeness and for turbulence attribution purposes. Both gust factors vary by direction in response to local terrain features and nearby obstructions and are generally not well correlated with each other. The meteorological gust factor is shown to be more responsive to local obstructions in proximity to the ASOS systems. Excluding lower gusts leads to a marked improvement in the correlation between the two gust factors. Due to ASOS’s siting limitations, attributing observed gustiness to turbulence from nearby terrain or structures is difficult. The gustiness is often localized and may not represent conditions across the full airport. Excluding lower gusts increases the aviation gust factor’s sensitivity to local obstructions. This suggests that obstructions may play a meaningful role in shaping the higher observed gust factors. The potential exists to provide pilots and other users of this data with site- and direction-specific metadata regarding observed gustiness, thereby improving situational awareness. Full article

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25 pages, 5543 KB

Open AccessArticle

Comprehensive Evaluation of Urban Storm Flooding Resilience by Integrating AHP–Entropy Weight Method and Cloud Model

by Zhangao Huang and Cuimin Feng

Water 2025, 17(17), 2576; https://doi.org/10.3390/w17172576 (registering DOI) - 31 Aug 2025

Abstract

To address urban flooding challenges exacerbated by climate change and urbanization, this study develops an integrated assessment framework combining the analytic hierarchy process (AHP), entropy weight method, and cloud model to quantify urban flood resilience. Resilience is deconstructed into resistance, adaptability, and recovery [...] Read more.

To address urban flooding challenges exacerbated by climate change and urbanization, this study develops an integrated assessment framework combining the analytic hierarchy process (AHP), entropy weight method, and cloud model to quantify urban flood resilience. Resilience is deconstructed into resistance, adaptability, and recovery and evaluated through 24 indicators spanning water resources, socio-economic systems, and ecological systems. Subjective (AHP) and objective (entropy) weights are optimized via minimum information entropy, with the cloud model enabling qualitative–quantitative resilience mapping. Analyzing 2014–2024 data from 27 Chinese sponge city pilots, the results show resilience improved from “poor to average” to “good to average”, with a 2.89% annual growth rate. Megacities like Beijing and Shanghai excel in resistance and recovery due to infrastructure and economic strengths, while cities like Sanya enhance resilience via ecological restoration. Key drivers include water allocation (27.38%), economic system (18.41%), and social system (17.94%), with critical indicators being population density, secondary industry GDP ratio, and sewage treatment rate. Recommendations emphasize upgrading rainwater storage, intelligent monitoring networks, and resilience-oriented planning. The model offers a scientific foundation for urban disaster risk management, supporting sustainable development. This approach enables systematic improvements in adaptive capacity and recovery potential, providing actionable insights for global flood-resilient urban planning. Full article

(This article belongs to the Special Issue Advances in Water and Stormwater Networks: Modelling and Pollutant Degradation, 2nd Edition)

16 pages, 2187 KB

Open AccessArticle

Comparative Preclinical Analysis of Anti-B7-H3 CAR-T Cells Targeting Neuroblastoma

by Dzmitry V. Lutskovich, Alexander N. Meleshko, Valeria M. Stepanova, Dmitri O. Dormeshkin and Yury P. Rubtsov

Biomedicines 2025, 13(9), 2130; https://doi.org/10.3390/biomedicines13092130 (registering DOI) - 31 Aug 2025

Abstract

Background: Neuroblastoma is a childhood tumor that is usually fatal after relapse in high-risk patients. Most clinical trials of CAR-T therapy for neuroblastoma are based on targeting the disialoganglioside GD2. B7-H3, a protein from the immunoglobulin superfamily, is a specific marker for [...] Read more.

Background: Neuroblastoma is a childhood tumor that is usually fatal after relapse in high-risk patients. Most clinical trials of CAR-T therapy for neuroblastoma are based on targeting the disialoganglioside GD2. B7-H3, a protein from the immunoglobulin superfamily, is a specific marker for neuroblastoma and a number of other solid tumors. We conducted a preclinical study of three variants of anti-B7-H3 CAR-T cells in order to justify the selection of the best candidate for subsequent clinical trials. Methods: The expression level of B7-H3 was measured in a number of cell lines and neuroblastoma tissue samples via flow cytometry. The functional activity of CAR-T cells was compared using an NFAT-inducible reporter assay, a cytotoxicity test, cytokine production, and a repeated stimulation assay. Results: The obtained CAR-T cells carrying all resulting CAR variants specifically recognized and killed B7-H3-positive tumor cells in vitro. Nevertheless, TE9-28z and 8H9-28BBz demonstrated superior activation and cytokine production compared to the second-generation 8H9-BBz construct. TE9-28z and 8H9-28BBz exhibited functional differences in expansion, exhaustion markers, and cytokine secretion in co-cultures with target cells in vitro. In particular, TE9-28z induced higher IFNγ production, while 8H9-28BBz showed increased TNFα release. Despite comparable cytotoxicity, TE9-28z and 8H9-28BBz CAR-T cells exhibited varying persistence depending on the tumor type, and showed signs of functional exhaustion upon prolonged exposure to the target antigen. Conclusion: TE9-28z and 8H9-28BBz were selected for further preclinical development as promising candidates for the effective targeting of B7-H3-expressing malignancies. Full article

(This article belongs to the Section Gene and Cell Therapy)

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