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15 pages, 2356 KB  
Article
A Fenton Oxidation-Based Integrated Strategy for the Treatment of Raw Gasoline Alkali Residue in Kashi
by Yucai Zhang, Xianghao Zha, Zhuo Zhang, Yangyang Guo, Shuying Yang, Haonan Qiu and Zhiwei Li
Toxics 2025, 13(10), 871; https://doi.org/10.3390/toxics13100871 (registering DOI) - 13 Oct 2025
Abstract
Gasoline alkali residue raw liquid, a kind of highly toxicity containing organic waste generated during petroleum refining, is characterized by its complex composition, high pollutant levels, and significant emission volume. The effective treatment of this wastewater remains a considerable challenge in environmental engineering. [...] Read more.
Gasoline alkali residue raw liquid, a kind of highly toxicity containing organic waste generated during petroleum refining, is characterized by its complex composition, high pollutant levels, and significant emission volume. The effective treatment of this wastewater remains a considerable challenge in environmental engineering. This study systematically investigates the degradation efficiency and mechanism of Fenton oxidation in reducing the chemical oxygen demand (COD) of raw gasoline alkali residue sourced from Kashi. The effects of H2O2 concentration and the H2O2/Fe2+ molar ratio on COD and TOC removal were examined. Results demonstrated that the COD and TOC removal efficiency exhibited an initial decrease followed by an increase with rising concentrations of Fe2+ and H2O2. Comparative assessment of different combined Fenton processes revealed distinct mechanistic differences among the composite oxidation systems. The integration of pretreatment with UV-Fenton oxidation was identified as the optimal strategy. Under optimal conditions (pH = 3.0, H2O2 concentration = 1.0 mol/L, H2O2/Fe2+ molar ratio = 5:0.10), the COD was reduced from 25,041 mg/L to 543 mg/L, achieving a COD removal rate of 97.8%. This study elucidates the reaction mechanism of the Fenton system in treating alkali residue and provides a theoretical foundation for the advanced treatment of high-concentration organic wastewater. Full article
(This article belongs to the Special Issue Technology and Principle of Removing Pollutants in Water)
12 pages, 1479 KB  
Article
Structure-Guided In-Use Stability Assessment of Monoclonal Antibody Tislelizumab
by David Andre Rudd and Ghizal Siddiqui
Pharmaceuticals 2025, 18(10), 1539; https://doi.org/10.3390/ph18101539 (registering DOI) - 13 Oct 2025
Abstract
Background/Objectives: Monoclonal antibody (mAb) stability is critical not only during manufacturing but also at the point of clinical administration. For therapies like tislelizumab (Tevimbra), a programmed death-1 (PD-1) targeting IgG mAb, delays in dosing often result in prepared infusions being discarded, contributing [...] Read more.
Background/Objectives: Monoclonal antibody (mAb) stability is critical not only during manufacturing but also at the point of clinical administration. For therapies like tislelizumab (Tevimbra), a programmed death-1 (PD-1) targeting IgG mAb, delays in dosing often result in prepared infusions being discarded, contributing to substantial drug waste despite being engineered for improved stability. Methods: To evaluate the physicochemical in-use stability of tislelizumab in a ready-to-administer format, we mapped degradation pathways, including post-translational modifications (PTMs); peptide alterations; pH and solution characteristics—under 12-month storage (ultra-long), under 1-month storage (0, 7, 14, 21, 28 and 31 days), and under exposure-related forced degradation conditions including room temperature, elevated temperature, pH (acidic/basic), oxidation and UV exposure. Structural analysis was contextualised to the known PD-1 binding site, making stability assessment relevant to tislelizumab’s mechanism-of-action in blocking PD-1. To assess solution stability, a validated size-exclusion chromatography (SEC) assay was applied to all conditions. Results: Aggregation was identified as the primary degradation pathway during ultra-long-term storage. SEC and chemical assessment revealed no measurable changes in protein quantity, aggregation, peptide integrity, or PTM profile over 31 days at 2–8 °C in polyolefin intravenous bags (1.6 mg/mL). Conclusions: These results support the structural and physicochemical stability of tislelizumab under refrigerated conditions. Full article
(This article belongs to the Topic Optimization of Drug Utilization and Medication Adherence)
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21 pages, 2666 KB  
Article
Maintenance-Aware Risk Curves: Correcting Degradation Models with Intervention Effectiveness
by F. Javier Bellido-Lopez, Miguel A. Sanz-Bobi, Antonio Muñoz, Daniel Gonzalez-Calvo and Tomas Alvarez-Tejedor
Appl. Sci. 2025, 15(20), 10998; https://doi.org/10.3390/app152010998 (registering DOI) - 13 Oct 2025
Abstract
In predictive maintenance frameworks, risk curves are used as interpretable, real-time indicators of equipment degradation. However, existing approaches generally assume a monotonically increasing trend and neglect the corrective effect of maintenance, resulting in unrealistic or overly conservative risk estimations. This paper addresses this [...] Read more.
In predictive maintenance frameworks, risk curves are used as interpretable, real-time indicators of equipment degradation. However, existing approaches generally assume a monotonically increasing trend and neglect the corrective effect of maintenance, resulting in unrealistic or overly conservative risk estimations. This paper addresses this limitation by introducing a novel method that dynamically corrects risk curves through a quantitative measure of maintenance effectiveness. The method adjusts the evolution of risk to reflect the actual impact of preventive and corrective interventions, providing a more realistic and traceable representation of asset condition. The approach is validated with case studies on critical feedwater pumps in a combined-cycle power plant. First, individual maintenance actions are analyzed for a single failure mode to assess their direct effectiveness. Second, the cross-mode impact of a corrective intervention is evaluated, revealing both direct and indirect effects. Third, corrected risk curves are compared across two redundant pumps to benchmark maintenance performance, showing similar behavior until 2023, after which one unit accumulated uncontrolled risk while the other remained stable near zero, reflected in their overall performance indicators (0.67 vs. 0.88). These findings demonstrate that maintenance-corrected risk curves enhance diagnostic accuracy, enable benchmarking between comparable assets, and provide a missing piece for the development of realistic, risk-informed predictive maintenance strategies. Full article
(This article belongs to the Special Issue Big-Data-Driven Advances in Smart Maintenance and Industry 4.0)
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30 pages, 5726 KB  
Article
Multi-Scenario Simulation and Restoration Strategy of Ecological Security Pattern in the Yellow River Delta
by Danning Chen, Weifeng Chen, Xincun Zhu, Shugang Xie, Peiyu Du, Xiaolong Chen and Dong Lv
Sustainability 2025, 17(20), 9061; https://doi.org/10.3390/su17209061 (registering DOI) - 13 Oct 2025
Abstract
The Yellow River Delta is one of China’s most ecologically fragile regions, experiencing prolonged pressures from rapid urbanization and ecological degradation. Existing research, however, has predominantly focused on constructing ecological security patterns under single scenarios, with limited systematic multi-scenario comparisons and insufficient statistical [...] Read more.
The Yellow River Delta is one of China’s most ecologically fragile regions, experiencing prolonged pressures from rapid urbanization and ecological degradation. Existing research, however, has predominantly focused on constructing ecological security patterns under single scenarios, with limited systematic multi-scenario comparisons and insufficient statistical support. To address this gap, this study proposes an integrated framework of “land use simulation—multi-scenario ecological security pattern construction—statistical comparative analysis.” Using the PLUS model, three scenarios were constructed—Business-as-Usual (BAU), Priority Urban Development (PUD), and Priority Ecological Protection (PEP)—to simulate land use changes by 2040. Habitat quality assessment, Multi-Scale Pattern Analysis (MSPA), landscape connectivity, and circuit theory were integrated to identify ecological source areas, corridors, and nodes, incorporating a novel hexagonal grid partitioning method. Statistical significance was evaluated using parametric tests (ANOVA, t-test) and non-parametric tests (permutation test, PERMANOVA). Analysis indicated significant differences in ecological security patterns across scenarios. Under the PEP scenario, ecological source areas reached 3580.42 km2 (12.39% of the total Yellow River Delta), corresponding to a 14.85% increase relative to the BAU scenario and a 32.79% increase relative to the PUD scenario. These gains are primarily attributable to stringent wetland and forestland protection policies, which successfully limited the encroachment of construction land into ecological space. Habitat quality and connectivity markedly improved, resulting in the highest ecosystem stability. By contrast, the PUD scenario experienced an 851.46 km2 expansion of construction land, resulting in the shrinkage of ecological source areas and intensified fragmentation, consequently increasing ecological security risks. The BAU scenario demonstrated moderate outcomes, with a moderately balanced spatial configuration. In conclusion, this study introduces an ecological restoration strategy of “five zones, one belt, one center, and multiple corridors” based on multi-scenario ecological security patterns. This provides a scientific foundation for ecological restoration and territorial spatial planning in the Yellow River Delta, while the proposed multi-scenario statistical comparison method provides a replicable methodological framework for ecological security pattern research in other delta regions. Full article
19 pages, 5176 KB  
Article
A Study on the Hydrochemical Evolution Property and Pollution Source Attribution of Groundwater in Highly Urbanized Areas: A Case Study of Shenzhen City
by Yue Wei, Yang Li, Lihong Zhang, Chuane Liu, Qingzhai Meng, Jianbo Yin and Long Wang
Water 2025, 17(20), 2945; https://doi.org/10.3390/w17202945 (registering DOI) - 13 Oct 2025
Abstract
Accurate identification of groundwater pollution sources is crucial for the socio-economic development of a region. In highly urbanized areas, where human activities have a pronounced impact on groundwater, however, the hydrochemical evolution patterns and sources of pollutants remain unclear. Taking Shenzhen, a highly [...] Read more.
Accurate identification of groundwater pollution sources is crucial for the socio-economic development of a region. In highly urbanized areas, where human activities have a pronounced impact on groundwater, however, the hydrochemical evolution patterns and sources of pollutants remain unclear. Taking Shenzhen, a highly urbanized city in China, as a case study, this research employed a combination of multivariate statistical techniques and the Positive Matrix Factorization (PMF) model to elucidate the hydrochemical evolution and quantitatively parse the pollution sources of groundwater in such regions. The results revealed that the pH of groundwater in the study area ranged from 4.24 to 7.31, indicating weak acidity to neutrality. The exceedance rates for pH, NH4+, COD, Mn, and Fe were as high as 67.1%, 44.3%, 44.3%, 34.3%, and 31.4%, respectively. The Water Quality Index assessment revealed that 32.9% of the groundwater samples were classified as poor, highlighting the significant impact of human activities. Land-use types significantly affected groundwater quality, with urban areas exhibiting higher concentrations of the COD, NO3, Mn, and Fe compared to agricultural and forested areas. The predominant hydrochemical type of groundwater in the study area was HCO3·Cl—Ca·Na, with rock weathering (primarily silicate weathering) being the dominant process controlling groundwater chemistry. The PMF model identified three major pollution sources in the highly urbanized region: domestic and industrial wastewater, enhanced water-rock interactions leading to the release of hydrochemical components, and agricultural fertilizers, contributing 43.9%, 37.0%, and 19.1% to groundwater pollution, respectively. Geostatistical spatial interpolation techniques demonstrated that in urban areas, groundwater quality was primarily controlled by the discharge of domestic and industrial wastewater, while in agricultural areas, excessive fertilizer application was the main driver of groundwater degradation. These findings provide a scientific basis for groundwater pollution prevention and sustainable utilization in highly urbanized regions. Full article
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14 pages, 1103 KB  
Article
Are Reusable Dry Electrodes an Alternative to Gelled Electrodes for Canine Surface Electromyography?
by Ana M. Ribeiro, I. Brás, L. Caldeira, J. Caldeira, C. Peham, H. Plácido da Silva and João F. Requicha
Animals 2025, 15(20), 2959; https://doi.org/10.3390/ani15202959 (registering DOI) - 13 Oct 2025
Abstract
Despite its increasing use in veterinary rehabilitation, practical constraints—such as skin preparation and single-use electrodes—limit the wider adoption of surface electromyography (sEMG). Having conventional pre-gelled Ag/AgCl electrodes as reference, we made a pioneering comparison of the performance of reusable soft polymeric dry electrodes [...] Read more.
Despite its increasing use in veterinary rehabilitation, practical constraints—such as skin preparation and single-use electrodes—limit the wider adoption of surface electromyography (sEMG). Having conventional pre-gelled Ag/AgCl electrodes as reference, we made a pioneering comparison of the performance of reusable soft polymeric dry electrodes for recording paraspinal muscle activity in dogs during treadmill walking. Twelve clinically healthy Dachshunds from both genders were evaluated under two conditions, namely: (i) dry electrodes on untrimmed hair; and (ii) pre-gelled electrodes after trichotomy. Signals were acquired from the longissimus dorsi muscle at 1 kHz, processed with standardized filtering and rectification, and analyzed in both time and frequency domains. Dry electrodes yielded higher amplitude and Root Mean Square (RMS) values, but slightly lower power spectral density metrics when compared to pre-gelled electrodes. Nevertheless, frequency-domain results were broadly comparable between configurations. Dry electrodes reduce the preparation time, avoid hair clipping, and allow reusability without major signal degradation. While pre-gelled electrodes may still offer marginally superior stability during movement, our results suggest that soft polymeric dry electrodes present a feasible, less invasive, and more sustainable alternative for canine sEMG. These findings support further validation of dry electrodes in clinical populations, particularly for neuromuscular assessment in intervertebral disk disease. Full article
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13 pages, 3001 KB  
Article
Surface Engineering of Enamel with Sodium Hypochlorite: Effects on Bond Strength and Etching Microstructure in Adhesive Applications
by Mar Torrella-Girbes, Santiago Arias-Luxán, Clara Guinot-Barona, Laura Marqués-Martínez, Esther García-Miralles and Juan Ignacio Aura-Tormos
Appl. Sci. 2025, 15(20), 10952; https://doi.org/10.3390/app152010952 - 12 Oct 2025
Abstract
Background: Adhesion to enamel is influenced by surface preparation, which affects the micromechanical retention of resin-based materials. Sodium hypochlorite (NaOCl) deproteinization has been proposed as a pretreatment to improve acid etching efficacy, but the optimal application time remains unclear. Methods: This [...] Read more.
Background: Adhesion to enamel is influenced by surface preparation, which affects the micromechanical retention of resin-based materials. Sodium hypochlorite (NaOCl) deproteinization has been proposed as a pretreatment to improve acid etching efficacy, but the optimal application time remains unclear. Methods: This in vitro study evaluated the effect of 5% NaOCl pretreatment at three exposure times (15, 30, and 60 s) on shear bond strength (SBS), the adhesive remnant index (ARI), and enamel etching patterns. Extracted human premolars (n = 140) were divided into four groups: the control (acid etching only) and three experimental groups. SBS was tested per ISO 11405, while ARI scores were assessed under stereomicroscopy, and surface morphology was examined by scanning electron microscopy (SEM). Results: The 30-s NaOCl group exhibited the highest SBS (20.9 MPa) compared with the control (15.9 MPa, p < 0.05) and 15-s (14.9 MPa, p < 0.05) groups. SEM analysis showed predominantly Type I–II etching patterns for the 30-s group, irregular Type III for 15 s, and overetched Type IV with loss of prism definition for 60 s, compromising the adhesive interface. ARI scores indicated 86.7% of samples in the 30-s group retained all adhesive on enamel (score 3). Conclusions: A 30-s 5% NaOCl pretreatment before acid etching improved enamel micromorphology and bonding performance compared to shorter or longer exposures. The intermediate duration provided effective deproteinization without structural damage, whereas prolonged exposure degraded the enamel microstructure. This protocol may offer a simple, cost-effective method to enhance clinical adhesive procedures, though prolonged exposure (60 s) should be avoided due to structural degradation of the enamel microstructure. Full article
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17 pages, 9111 KB  
Article
A New Deepfake Detection Method with No-Reference Image Quality Assessment to Resist Image Degradation
by Jiajun Jiang, Wen-Chao Yang, Chung-Hao Chen and Timothy Young
Eng 2025, 6(10), 274; https://doi.org/10.3390/eng6100274 (registering DOI) - 11 Oct 2025
Abstract
Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection methods often struggle with the low-quality or compressed press, which is prevalent on [...] Read more.
Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection methods often struggle with the low-quality or compressed press, which is prevalent on social media platforms. This paper proposes a novel Deepfake detection framework that leverages No-Reference Image Quality Assessment (NRIQA) techniques, specifically, BRISQUE, NIQE, and PIQUE, to extract quality-related features from facial images. These features are then classified using a Support Vector Machine (SVM) with various kernel functions. We evaluate our method under both intra-dataset and cross-dataset settings. For intra-dataset evaluation, we conduct K-fold cross-validation on two benchmark datasets, DFDC and Celeb-DF (v2), including downsampled versions to simulate real-world degradation. The results show that our method maintains high accuracy even under significant quality loss, achieving up to 98% accuracy on the Celeb-DF (v2) dataset and outperforming several state-of-the-art methods. To improve the transferability of the detection models, we introduce an integrated filtering strategy based on NR-IQA thresholding, which enhances performance in cross-dataset transfer scenarios. This approach yields up to 7% improvement in detection accuracy under challenging cross-domain conditions. Full article
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17 pages, 3635 KB  
Article
Evaluation of Medical-Grade Polycaprolactone for 3D Printing: Mechanical, Chemical, and Biodegradation Characteristics
by Eun Chae Kim, Jae-Seok Kim, Yun Jin Yu, Sang-Gi Yu, Dong Yeop Lee, Dong-Mok Lee, So-Jung Gwak, Kyoung Duck Seo and Seung-Jae Lee
Polymers 2025, 17(20), 2730; https://doi.org/10.3390/polym17202730 (registering DOI) - 11 Oct 2025
Viewed by 34
Abstract
Polycaprolactone (PCL) is one of the most widely used polymers in tissue engineering owing to its excellent biocompatibility, biodegradability, and processability. Nevertheless, most previous studies have primarily employed research-grade PCL, thereby limiting its clinical translation. In this study, four types of medical-grade PCL [...] Read more.
Polycaprolactone (PCL) is one of the most widely used polymers in tissue engineering owing to its excellent biocompatibility, biodegradability, and processability. Nevertheless, most previous studies have primarily employed research-grade PCL, thereby limiting its clinical translation. In this study, four types of medical-grade PCL (RESOMER® C203, C209, C212, and C217) were systematically evaluated for their applicability in three-dimensional (3D) printing, with respect to printability, mechanical characteristics, chemical stability, and biodegradation behavior. Among these, C209 and C212 exhibited superior printability and mechanical strength. FT-IR analysis showed that the chemical structure of PCL remained unchanged after both 3D printing and E-beam sterilization, while compressive testing demonstrated no significant differences in mechanical characteristics. In vitro degradation assessment revealed a time-dependent decrease in molecular weight. For kinetic analysis, both C209 and C212 were fitted using pseudo-first-order and pseudo-second-order models, which yielded comparable coefficients of determination (R2), suggesting that degradation may be governed by multiple factors rather than a single kinetic pathway. Taken together, these findings indicate that medical-grade PCL, particularly C209 and C212, is highly suitable for 3D printing. Furthermore, this study provides fundamental insights that may facilitate the clinical translation of PCL-based scaffolds for tissue engineering and biomedical implantation. Full article
(This article belongs to the Special Issue Polymeric Materials and Their Application in 3D Printing, 2nd Edition)
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17 pages, 1369 KB  
Article
Heme Oxygenase-1 Expression as a Prognostic Marker in Early-Stage HCC Undergoing Resection or Liver Transplantation
by Ramona Cadar, Alin Mihai Vasilescu, Ana Maria Trofin, Alexandru Grigorie Nastase, Mihai Zabara, Cristina Muzica, Corina Lupascu Ursulescu, Mihai Danciu, Andrei Pascu, Iulian Buzincu, Delia Ciobanu, Ianole Victor and Cristian Dumitru Lupascu
Life 2025, 15(10), 1589; https://doi.org/10.3390/life15101589 - 11 Oct 2025
Viewed by 33
Abstract
Background: Hepatocellular carcinoma (HCC) is a prevalent malignancy with high mortality, often arising in the context of chronic liver diseases. Heme oxygenase-1 (HO-1), an inducible enzyme involved in heme degradation, has been implicated in both hepatoprotection and tumor progression. This study evaluates the [...] Read more.
Background: Hepatocellular carcinoma (HCC) is a prevalent malignancy with high mortality, often arising in the context of chronic liver diseases. Heme oxygenase-1 (HO-1), an inducible enzyme involved in heme degradation, has been implicated in both hepatoprotection and tumor progression. This study evaluates the expression of HO-1 in HCC and its association with clinicopathological features and patient survival. Materials and Methods: We retrospectively analyzed 58 HCC cases diagnosed between 2018 and 2023 at “Sf. Spiridon” Emergency County Hospital, Iasi. HO-1 expression was assessed immunohistochemically and quantified using a semi-quantitative immunoreactivity score (IRS). Statistical correlations between HO-1 expression and clinical, pathological, and survival parameters were evaluated using univariate analysis, ROC curves, and Kaplan–Meier survival models. Results: High HO-1 expression (IRS > 1) was significantly associated with hepatitis C virus etiology (p = 0.004, V = 0.381), vascular invasion (p = 0.019, V = 0.309) and perioperative anticoagulant therapy (p = 0.007, V = 0.352). However, HO-1 expression did not correlate with overall survival (OS). In contrast, solid growth pattern (p = 0.030) and serum α-fetoprotein levels of 10–99 ng/mL (p = 0.022) were negatively associated with OS. Conclusions: HO-1 expression in HCC was found to be associated with vascular invasion, but not with overall survival. While this may indicate a potential link to certain aggressive tumor features, the overall role of HO-1 in HCC biology remains unclear. These findings suggest that HO-1 should be considered an exploratory rather than definitive prognostic marker, and further research is warranted to clarify its function and potential utility, including investigation of its detectability in biological fluids for non-invasive monitoring. Full article
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21 pages, 7032 KB  
Article
Non-Thermal Plasma Treatment of Dye-Contaminated Wastewater: A Sustainable Approach for Pollutant Degradation and Enhanced Plant Growth
by Subash Mohandoss, Harshini Mohan, Natarajan Balasubramaniyan and Sivachandiran Loganathan
Plasma 2025, 8(4), 40; https://doi.org/10.3390/plasma8040040 (registering DOI) - 11 Oct 2025
Viewed by 34
Abstract
The win–win situation of dye degradation and nitrogen fixation in wastewater using non-thermal plasma (NTP) were investigated in this study. Specifically, the feasibility of utilizing plasma-treated dye-contaminated wastewater for seed germination and plant growth was explored. Crystal Violet (CV) and Rhodamine B (RhB) [...] Read more.
The win–win situation of dye degradation and nitrogen fixation in wastewater using non-thermal plasma (NTP) were investigated in this study. Specifically, the feasibility of utilizing plasma-treated dye-contaminated wastewater for seed germination and plant growth was explored. Crystal Violet (CV) and Rhodamine B (RhB) dyes were used as model pollutants, while Sorghum bicolor (great millet) seeds were used to assess germination rates and plant growth responses. In untreated wastewater containing CV and RhB, approximately 45% of seeds germinated after three days, but no significant stem or root growth was observed after 11 days. Plasma treatment significantly enhanced dye degradation, with efficiency improving as treatment time and input power increased. After 16 min of plasma treatment at 1.3 ± 0.2 W input power, about 99% degradation efficiency was achieved for both CV (0.0122 mM) and RhB (0.0104 mM). This degradation was primarily driven by reactive oxygen and nitrogen species (RONS) generated by plasma discharge. When sorghum seeds were germinated using plasma-treated wastewater, the germination rate increased to 65% after three days—20% higher than with untreated wastewater. Furthermore, after 11 days, the average stem length reached 9 cm, while the average root length extended to 7 cm. These findings highlight NTP as a promising and sustainable method for degrading textile industry pollutants while simultaneously enhancing crop productivity through the reuse of treated wastewater. Full article
(This article belongs to the Special Issue Feature Papers in Plasma Sciences 2025)
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14 pages, 1430 KB  
Article
Evaluation of the Genetic Resource Value of Datong Yak: A Cultivated Breed on the Qinghai–Tibet Plateau
by Donghao Guo and Hua Pu
Agriculture 2025, 15(20), 2114; https://doi.org/10.3390/agriculture15202114 - 11 Oct 2025
Viewed by 43
Abstract
Livestock and poultry genetic resources form the cornerstone of elite population breeding, new breed development, and global food security. The yak (Bos mutus), endemic to the Qinghai–Tibet Plateau, is indispensable for maintaining regional biodiversity and ecological stability. The Datong yak—China’s first [...] Read more.
Livestock and poultry genetic resources form the cornerstone of elite population breeding, new breed development, and global food security. The yak (Bos mutus), endemic to the Qinghai–Tibet Plateau, is indispensable for maintaining regional biodiversity and ecological stability. The Datong yak—China’s first nationally recognized cultivated yak breed and the world’s inaugural domesticated yak variety—plays a pivotal role in enhancing yak production performance, mitigating grassland–livestock conflicts, and restoring degraded grasslands. This study aimed to provide a scientific basis for the conservation and sustainable utilization of yak genetic resources by comprehensively evaluating the genetic resource value of Datong yaks. We employed the market price method, opportunity cost method, and shadow engineering method to assess four value dimensions—aligned with the Food and Agriculture Organization (FAO) livestock genetic resource value framework and adapted to China’s yak production context: direct use value (DUV), indirect use value (IUV), potential use value (PUV), and conservation value (CV). Data were collected through expert consultations, semi-structured interviews, and questionnaire surveys in Datong County (Qinghai Province, the core production area of Datong yaks) between August and September 2024, with the widely distributed Qinghai Plateau yak serving as the control breed. Based on a recent market survey, the total genetic resource value of Datong yaks in China was estimated at CNY 2.505 billion in 2024, highlighting the increasing economic and strategic significance of yak genetic resources. Among the four value dimensions, PUV accounted for the largest share (65.67%), driven by superior production performance, market price premiums, and reduced feeding costs. DUV contributed 20.72%, reflecting the value of biological assets and beef products; IUV represented 7.10%, primarily associated with grassland conservation benefits; and CV constituted 6.51%, encompassing costs for genetic resource preservation and cultural heritage contributions. These results underscore the substantial potential of Datong yak genetic resources, particularly given their unique adaptation to high-altitude environments and their critical role in supporting local livelihoods and ecological stability. Future research should focus on expanding breeding programs and genetic conservation, optimizing industrial and value chains, and strengthening genetic improvement initiatives to promote ecological security and sustainable development of the yak industry on the Qinghai–Tibet Plateau. Full article
(This article belongs to the Section Farm Animal Production)
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15 pages, 2863 KB  
Article
Resistant Potato Starch Supplementation Increases the Serum Levels of Choline and Sphingomyelins Without Affecting Trimethylamine Oxide Levels
by Jason R. Bush, Jun Han and David R. Goodlett
Metabolites 2025, 15(10), 662; https://doi.org/10.3390/metabo15100662 (registering DOI) - 11 Oct 2025
Viewed by 57
Abstract
Background/Objectives: The prebiotic effect of resistant potato starch (RPS) has been demonstrated, but the role of this nutrient in choline metabolism and the production of microbially modified choline-derived toxins is unknown. Methods: We performed post hoc analysis comparing changes in choline and related [...] Read more.
Background/Objectives: The prebiotic effect of resistant potato starch (RPS) has been demonstrated, but the role of this nutrient in choline metabolism and the production of microbially modified choline-derived toxins is unknown. Methods: We performed post hoc analysis comparing changes in choline and related metabolites in serum from baseline to the week 4 time point in a human clinical trial evaluating daily consumption of 3.5 g RPS versus a placebo. Results: Choline levels increased in the RPS consuming group, while levels of trimethylamine decreased and levels of the cardiovascular toxin trimethylamine oxide were unaffected by RPS consumption. Increases in choline were positively correlated with increases in Akkermansia in the gut. Oxidation of choline to betaine was unaffected by RPS, as was acetylcholine metabolism. Levels of various saturated even acyl chain and hydroxylated acyl chain sphingomyelins were increased in RPS consuming participants, and levels of phospholipid degradation products phosphocholine and glycerophosphocholine were decreased. Conclusions: These data suggest that RPS enhances choline absorption without increasing TMAO and stimulates the incorporation of choline into sphingomyelins containing saturated even acyl chains and hydroxylated acyl chains. Future studies assessing the physiological consequences, such as cognitive or neurological benefits, of enhanced choline absorption and sphingomyelin levels in people consuming RPS are warranted. Full article
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20 pages, 21172 KB  
Article
Landscape Metric-Enhanced Vegetation Restoration: Improving Spatial Suitability on Loess Plateau
by Sixuan Du, Jiarui Li and Xiang Li
Forests 2025, 16(10), 1569; https://doi.org/10.3390/f16101569 - 11 Oct 2025
Viewed by 63
Abstract
Ecological restoration of the Loess Plateau plays a pivotal role in mitigating land degradation and promoting regional sustainability. In this study, landscape pattern metrics were integrated into the MaxEnt model to evaluate the influence of landscape configuration on restoration planning. Nine representative species [...] Read more.
Ecological restoration of the Loess Plateau plays a pivotal role in mitigating land degradation and promoting regional sustainability. In this study, landscape pattern metrics were integrated into the MaxEnt model to evaluate the influence of landscape configuration on restoration planning. Nine representative species from three vegetation strata—herbs, shrubs, and trees—were selected based on ecological suitability. A comprehensive set of variables, including environmental, anthropogenic, and landscape metrics, was constructed for modeling. Results demonstrate that incorporating landscape metrics significantly enhanced the spatial explanatory power, providing a robust supplement to traditional ecological restoration assessments. Distinct responses to landscape structure were observed among vegetation types: herb species were more sensitive to patch aggregation and connectivity, shrubs preferred regular edges and larger patch size, while tree species favored extensive, low-fragmentation core habitats. Vertical structure optimization revealed that while large areas were suitable for single vegetation layers, composite vegetation configurations were more appropriate in certain central and southern subregions. These findings underscore the importance of landscape structure in guiding restoration strategies and serve as a basis for designing ecologically coherent and spatially targeted vegetation restoration plans on the Loess Plateau. Full article
(This article belongs to the Section Forest Ecology and Management)
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29 pages, 11644 KB  
Article
Machine Learning-Driven Optimization for Evaluating the Durability of Basalt Fibers in Alkaline Environments
by Aamir Mahmood, Miroslava Pechočiaková, Blanka Tomková, Muhammad Tayyab Noman, Mohammad Gheibi, Kourosh Behzadian, Jakub Wiener and Luboš Hes
Fibers 2025, 13(10), 137; https://doi.org/10.3390/fib13100137 - 11 Oct 2025
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Abstract
Basalt fiber-reinforced composites are increasingly utilized in sustainable construction due to their high strength, environmental benefits, and durability. However, the long-term tensile performance of these composites in alkaline environments remains a critical concern. This study investigates the degradation performance of basalt fibers exposed [...] Read more.
Basalt fiber-reinforced composites are increasingly utilized in sustainable construction due to their high strength, environmental benefits, and durability. However, the long-term tensile performance of these composites in alkaline environments remains a critical concern. This study investigates the degradation performance of basalt fibers exposed to different alkaline solutions (NaOH, KOH, and Ca(OH)2) with varying concentrations (5 g/L, 15 g/L, and 30 g/L) over various exposure periods (7, 14, and 28 days). The performance assessment is carried out by mechanical properties, including tensile strength and modulus of elasticity, using experimental techniques and Response Surface Methodology (RSM) to find influential factors on tensile performance. The findings indicate that tensile strength degradation is highly dependent on alkali type and concentration, with Ca(OH)2-treated fibers exhibiting superior mechanical retention (max tensile strength: 938.94 MPa) compared to NaOH-treated samples, which showed the highest degradation rate. Five machine learning (ML) models, including Tree Random Forest (TRF), Function Multilayer Perceptron (FMP), Lazy IBK, Meta Bagging, and Function SMOreg (FSMOreg), were also implemented to predict tensile strength based on exposure parameters. FSMOreg demonstrated the highest prediction accuracy with a correlation coefficient of 0.928 and the lowest error metrics (RMSE 181.94). The analysis boosts basalt fiber durability evaluations in cement-based composites. Full article
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