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19 pages, 2728 KB  
Article
In Situ Characterization of Time-Dependent Rock Mass Degradation in an Open-Pit Gold Mine in a Semi-Arid Sahelian Climate: Field Mapping, Physical Testing, and Petrographic Analysis
by Pierre Sawadogo, Samuel Nakolendoussé and Tikou Belem
Mining 2026, 6(2), 30; https://doi.org/10.3390/mining6020030 (registering DOI) - 30 Apr 2026
Abstract
Quantifying time-dependent rock mass degradation is critical for assessing long-term slope stability during open-pit mine closure. This study evaluates the geotechnical evolution of Paleoproterozoic arenites and argillites in the semi-arid Essakane Main Zone (Burkina Faso) over a 0–9-year atmospheric exposure period. Field characterization [...] Read more.
Quantifying time-dependent rock mass degradation is critical for assessing long-term slope stability during open-pit mine closure. This study evaluates the geotechnical evolution of Paleoproterozoic arenites and argillites in the semi-arid Essakane Main Zone (Burkina Faso) over a 0–9-year atmospheric exposure period. Field characterization across 32 sampling stations included density measurements, point load testing (Is(50)), determination of the Geological Strength Index (GSI), and petrographic analysis. The results demonstrate a time-dependent reduction in physico-mechanical properties, modeled with a high correlation (R2 = 0.80–0.99). While density exhibited minor reductions, structural degradation was pronounced; the GSI decreased by 10 points for both lithologies, and Is50 dropped significantly, particularly in argillites (4.1 to 2.3 MPa) relative to arenites (4.0 to 3.6 MPa). Petrographic evidence indicates negligible chemical weathering and mineral neoformation. Consequently, the degradation was attributed primarily to physical processes, specifically microcracking and discontinuity deterioration driven by thermal cycling and phyllosilicate sensitivity in argillites. These empirical relationships provide essential quantitative input for numerical slope stability modeling in semi-arid mine closure scenarios. Full article
28 pages, 6889 KB  
Article
Comparative Evaluation of QQ Media Materials for MBR Applications: An Environmental Footprint Approach in Urban Wastewater Treatment Plants
by Semanur Korkusuz-Soylu, Rabia Ardic-Demirbilekli, Merve Yilmaz, Ismail Koyuncu and Borte Kose-Mutlu
Membranes 2026, 16(5), 161; https://doi.org/10.3390/membranes16050161 (registering DOI) - 30 Apr 2026
Abstract
Urban wastewater treatment plants face increasing challenges in mitigating environmental impacts while achieving high treatment efficiency. This study explores the optimization of quorum-quenching (QQ) media materials for scalable membrane bioreactor (MBR) applications, focusing on their potential to reduce operational footprints and enhance sustainability. [...] Read more.
Urban wastewater treatment plants face increasing challenges in mitigating environmental impacts while achieving high treatment efficiency. This study explores the optimization of quorum-quenching (QQ) media materials for scalable membrane bioreactor (MBR) applications, focusing on their potential to reduce operational footprints and enhance sustainability. Six immobilization media were evaluated—sodium alginate (SA), polyvinyl alcohol (PVA) beads (P), magnetic beads (M), chitosan magnetic beads (CM), polymer-coated beads (PS), and flat media (SAP)—using a multi-criteria decision analysis (MCDA) framework. Key parameters, including porosity, mechanical strength, quorum-quenching activity, and durability in sludge, were quantitatively weighted according to their operational significance. SA demonstrated the most balanced performance, exhibiting superior durability and cost-effectiveness, whereas SAP showed potential in applications prioritizing high porosity and enhanced QQ activity. The incorporation of QQ media led to a significant reduction in membrane fouling, chemical consumption, and energy consumption in pilot-scale MBR systems. Ecological footprint assessment revealed a 15% reduction in indirect blue water footprints and a 20% decrease in Scope 2 carbon emissions, attributable to reduced operational energy demands. These findings highlight the efficacy of QQ media in improving MBR performance and advancing system-level sustainability. Overall, this study highlights the critical importance of material engineering and ecological footprint integration in the development of next-generation urban wastewater treatment technologies. Full article
17 pages, 12685 KB  
Article
Preliminary Technical Feasibility of Integrating Auxetic Foam into Foot Orthoses for Diverse Neuropathic Etiologies: A Small-Scale Pilot Observation
by LaBreesha Batey, Enrique Jackson, Changchun Zeng and Selvum Pillay
Bioengineering 2026, 13(5), 530; https://doi.org/10.3390/bioengineering13050530 (registering DOI) - 30 Apr 2026
Abstract
Research into auxetic foams—materials with a negative Poisson’s ratio— is expanding, yet their integration into orthotics for diverse neuropathic conditions remains largely unexplored. This pilot study evaluates the feasibility of fabricating custom auxetic foam insoles and characterizing vertical ground reaction force (vGRF) trends [...] Read more.
Research into auxetic foams—materials with a negative Poisson’s ratio— is expanding, yet their integration into orthotics for diverse neuropathic conditions remains largely unexplored. This pilot study evaluates the feasibility of fabricating custom auxetic foam insoles and characterizing vertical ground reaction force (vGRF) trends across a heterogeneous cohort. In collaboration with the NASA/Marshall Space Flight Center, six participants, including five representing varied neuropathic etiologies and one healthy control, performed randomized walking trials under three conditions: barefoot, over-the-counter (OTC) insoles, and custom auxetic prototypes. The healthy control was retained in the cohort-level analysis to preserve methodological symmetry across experimental conditions. To maintain physical rigor, vGRF data were mass-normalized (N/kg). A Friedman test (n = 6) evaluated global differences, supplemented by a dual-bootstrap analysis (1000 resamples) to quantify effect magnitudes (r) and numerical uncertainty. Although the Friedman test revealed no statistically significant global differences (Q = 0.333, df = 2, p = 0.846), a descriptively large effect size (r = 0.58) was observed for the auxetic material versus barefoot walking. However, wide 95% bootstrap confidence intervals prevent population-level inference, reinforcing the exploratory nature of these findings. Subject-specific observations showed descriptive differences in vGRF in three participants (0.17 to 1.18 N/kg), while increases in others occurred alongside confounding factors such as self-selected walking velocity. This work demonstrates the mechanical application of auxetic insole prototypes, providing a foundational rationale for future trials utilizing standardized walking velocity to isolate material performance. Full article
(This article belongs to the Special Issue Biomechanical Assessment in Rehabilitation and Performance)
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25 pages, 2945 KB  
Article
Hnf1aos1 as a Metabolic Coordinator of Hepatic Lipid Homeostasis and Feedback Control
by Beshoy Armanios, Jing Jin, Ankit P. Laddha, Le Tra Giang Nguyen, Sherouk M. Tawfik, Neha Mishra, Jose E. Manautou and Xiao-Bo Zhong
Non-Coding RNA 2026, 12(3), 15; https://doi.org/10.3390/ncrna12030015 (registering DOI) - 30 Apr 2026
Abstract
Background: Long noncoding RNAs (lncRNAs) have emerged as critical regulators of hepatic metabolism and disease progression. The hepatocyte nuclear factor 1 alpha antisense 1 (HNF1A-AS1) lncRNA modulates liver-specific transcription factors; however, its physiological role in diet-dependent lipid homeostasis remains poorly defined. Methods: In [...] Read more.
Background: Long noncoding RNAs (lncRNAs) have emerged as critical regulators of hepatic metabolism and disease progression. The hepatocyte nuclear factor 1 alpha antisense 1 (HNF1A-AS1) lncRNA modulates liver-specific transcription factors; however, its physiological role in diet-dependent lipid homeostasis remains poorly defined. Methods: In this study, we investigated the mouse ortholog, Hnf1a opposite strand 1 (Hnf1aos1), using AAV-mediated knockdown in C57BL/6J mice fed either a chow diet (10% kcal from fat) or a high-fat diet (HFD; 60% kcal from fat) for 12 weeks. Metabolic phenotyping included hepatic lipid quantification, histological analysis, serum biochemistry, and quantitative gene expression profiling. Results: Loss of Hnf1aos1 produced distinct, diet-dependent alterations in hepatic lipid handling. Under chow conditions, knockdown mice exhibited selective hepatic cholesterol accumulation (6.10 ± 2.9 mg/g tissue vs. 3.51 ± 1.1 mg/g in controls), accompanied by dysregulation of cholesterol clearance pathways. In contrast, under HFD conditions, knockdown precipitated severe macrovesicular degeneration, with hepatic triglyceride levels approximately doubled relative to HFD-fed controls (51.72 ± 19.8 mg/g vs. 26.34 ± 11.9 mg/g) and a numerically elevated triglyceride-to-cholesterol ratio (TG:TC ≈ 6.1:1; p = 0.0621, trend). Chow/Kd mice gained significantly less weight than chow-fed controls, whereas HFD/Kd mice exhibited weight gain comparable to HFD controls despite severe hepatic steatosis. This paradoxical phenotype suggests impaired metabolic feedback at the post-transcriptional level, in which compensatory upregulation of Hnf1a mRNA is insufficient to suppress lipid-associated genes such as Cd36, despite profound lipid overload; however, HNF1A protein levels were not directly measured in this study. Conclusion: Collectively, these findings identify Hnf1aos1 as a regulator of hepatic lipid homeostasis whose loss produces a phenotype consistent with inappropriate lipid accumulation during nutrient excess, without defining the underlying molecular mechanism. Our results support a role for Hnf1aos1 in shaping hepatic metabolic plasticity and provide insight into lncRNA-associated MASLD phenotypes. Full article
26 pages, 4155 KB  
Article
Revealing the Pharmacological Mechanism of Tibetan Medicine Wugeng San in Treating Rheumatoid Arthritis Through an Integrated Strategy of Chemical Composition Analysis, Network Pharmacology, Machine Learning, and In Vivo Experiments
by Zixian Chen, Yu Zhang, Shuangqi Chen, Chunxia Zhang, Rui Gu and Shaohui Wang
Pharmaceuticals 2026, 19(5), 718; https://doi.org/10.3390/ph19050718 (registering DOI) - 30 Apr 2026
Abstract
Background: Wugeng San (WGS) is a traditional Tibetan medicinal preparation that has long been used to treat inflammatory and arthritic conditions. However, its contemporary pharmacological validation and the mechanisms underlying its action in rheumatoid arthritis (RA) have not been fully investigated. Objective: For [...] Read more.
Background: Wugeng San (WGS) is a traditional Tibetan medicinal preparation that has long been used to treat inflammatory and arthritic conditions. However, its contemporary pharmacological validation and the mechanisms underlying its action in rheumatoid arthritis (RA) have not been fully investigated. Objective: For the first time, this study aimed to systematically investigate the therapeutic effects of WGS on RA, identify its potential targets, and elucidate its action mechanisms. Methods: This study, as the first comprehensive investigation of WGS in RA, employed integrated multiple approaches including chemical component identification via UPLC-Q-TOF/MS, network pharmacology, bioinformatics, machine learning, and in vivo efficacy assessment and mechanism verification in a collagen-induced arthritis (CIA) rat model, a widely accepted experimental model that mimics the key pathological features of RA. Results: The results demonstrated that WGS reduced the severity of arthritis in a dose-dependent manner, as evidenced by decreased paw swelling, normalized body weight, and restored levels of pro- and anti-inflammatory cytokines. The high dose of WGS (252 mg/kg) showed an effect comparable to that of methotrexate (0.2 mg/kg). Histological analysis revealed that WGS reduced synovial hyperplasia, cartilage erosion and bone destruction, decreased osteoclast numbers, and promoted osteoblast activity. Eighty-four compounds were identified using UPLC-Q-TOF/MS. Network pharmacology and machine learning analyses indicated SYK as a key target enriched in the NF-κB signaling and osteoclast differentiation pathways. Experimental validation confirmed that WGS suppressed the phosphorylation of SYK and NF-κB pathway components (p65, IκBα, and IKKα/β), decreased MMP1/MMP3 levels, and modulated the Bax/Bcl-2 ratio to promote apoptosis. Conclusions: In conclusion, WGS exhibits strong anti-arthritic effects through “multi-component, multi-target, and multi-pathway” mechanisms, likely attributable to the inhibition of the SYK/NF-κB signaling axis, suppression of matrix degradation, and regulation of cellular apoptosis. This research offers a pharmacological basis for repurposing WGS as a promising natural candidate for RA therapy. Full article
(This article belongs to the Section Pharmacology)
24 pages, 485 KB  
Article
Annual Chronological Production Simulation Method for Regional Power Grids Considering Inter-Provincial Monthly Medium-Term Mutual Assistance
by Deping Gao, Wei Yan and Siqi Zhang
Appl. Sci. 2026, 16(9), 4421; https://doi.org/10.3390/app16094421 (registering DOI) - 30 Apr 2026
Abstract
This study proposes a three-stage chronological production simulation method to enhance inter-provincial resource coordination. The core innovation lies in combining the “multi-time-scale decomposition” strategy with the “intra-provincial balancing and inter-provincial mutual assistance” mechanism. A three-stage optimization model for annual chronological production simulation is [...] Read more.
This study proposes a three-stage chronological production simulation method to enhance inter-provincial resource coordination. The core innovation lies in combining the “multi-time-scale decomposition” strategy with the “intra-provincial balancing and inter-provincial mutual assistance” mechanism. A three-stage optimization model for annual chronological production simulation is constructed. Specifically, the inter-provincial monthly medium-term mutual assistance stage takes into account the constraints of inter-provincial monthly transaction electricity volume, so as to adapt to the current situation in China where inter-provincial medium-term power transactions are mostly carried out on a monthly cycle. Simulation analysis was conducted based on a case study built with actual data from the Chongqing and Sichuan power grids in the southwestern region of China, which verifies the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Energy and Power Systems: Control and Management)
16 pages, 1176 KB  
Article
Comparative Antioxidant Evaluation and GC-MS Identification of Bioactive Constituents in Litsea cubeba (Lour.) Pers. Fractions
by Mengyue Wei, Zihan Yu, Wenyi Fang, Yunbin Zhang and Xiaofei Zhou
Molecules 2026, 31(9), 1506; https://doi.org/10.3390/molecules31091506 (registering DOI) - 30 Apr 2026
Abstract
In this study, five solvent fractions from Litsea cubeba (Lour.) Pers. fruit were extracted and investigated for their antioxidant profiles. Results showed that the petroleum ether fraction (PEF) and n-butanol fraction (NBF) exhibited prominent free radical scavenging capacities in DPPH, ABTS, and hydroxyl [...] Read more.
In this study, five solvent fractions from Litsea cubeba (Lour.) Pers. fruit were extracted and investigated for their antioxidant profiles. Results showed that the petroleum ether fraction (PEF) and n-butanol fraction (NBF) exhibited prominent free radical scavenging capacities in DPPH, ABTS, and hydroxyl radical assays. Gas chromatography–mass spectrometry (GC-MS) identified citral as the dominant bioactive component in both active fractions. Further mechanism analysis demonstrated that citral exerted potent antioxidant effects via dual pathways: direct free radical scavenging and transition metal ion chelation. These findings not only elucidate the material basis and molecular mechanism underlying the antioxidant activity of L. cubeba but also provide a scientific rationale for the high-value utilization of citral-rich fractions in functional foods, cosmetics, and healthcare products. Full article
(This article belongs to the Section Food Chemistry)
19 pages, 3890 KB  
Article
Response of Soil CO2 Diurnal Flux to Precipitation Changes in a Desert Steppe
by Xingyue Li, Yarong Chen, Lei Li, Ziwei Yang, Yuyu Ma, Long Yang and Kelong Chen
Sustainability 2026, 18(9), 4425; https://doi.org/10.3390/su18094425 (registering DOI) - 30 Apr 2026
Abstract
Desert steppe is a typical ecosystem in arid and semi-arid regions and an important component of the global carbon cycle. Under the background of global climate change, the increasing frequency of extreme precipitation events and changes in precipitation patterns can significantly affect water- [...] Read more.
Desert steppe is a typical ecosystem in arid and semi-arid regions and an important component of the global carbon cycle. Under the background of global climate change, the increasing frequency of extreme precipitation events and changes in precipitation patterns can significantly affect water- and heat-sensitive desert steppe ecosystems, thereby regulating soil CO2 flux; however, the underlying mechanisms remain unclear. To investigate the effects of precipitation changes on soil CO2 flux and their roles in carbon cycling and ecological sustainability, this study was conducted in a desert steppe. Seven precipitation treatments were established, including a control (CK) and ±15%, ±30%, and ±45% precipitation gradients. Based on the static chamber-gas chromatography method, combined with principal component analysis (PCA), correlation analysis, random forest modeling, and stepwise regression, the main influencing factors and their diurnal variation patterns of soil CO2 flux were analyzed over 24 h periods from June to August. The results show that CO2 flux ranged from −68.33 to 77.59 mg·m−2·h−1. During the study period, CO2 flux exhibited a diurnal pattern characterized by daytime emissions and weak nighttime emissions or uptake, along with clear seasonal variation. The ±30% precipitation treatment showed the largest fluctuation in CO2 flux. Soil hydrothermal factors were identified as the key drivers of CO2 flux. With changes in precipitation intensity, the combined effects of multiple factors increased ecosystem complexity, and the controlling factors showed clear seasonal differences. The results from different analytical methods were generally consistent, providing a reference for predicting CO2 flux, developing carbon sink strategies, and supporting sustainable ecological management in desert steppe regions. Full article
32 pages, 1728 KB  
Article
Chitosan-Based Nanocomposite Dressings Loaded with Zinc Oxide and Camphor for Hemostatic Applications
by Ioanna Koumentakou, Theodora Adamantidi, Marios Argyrios Finos, Pavlos Efthymiopoulos, Ramonna Kosheleva, Ioannis Tsamesidis, Eleana Kontonasaki and George Z. Kyzas
Processes 2026, 14(9), 1470; https://doi.org/10.3390/pr14091470 (registering DOI) - 30 Apr 2026
Abstract
Two hemostatic bionanocomposite dressings were developed using natural, semi-natural (or semi-synthetic) and synthetic polymers. The first system consisted of chitosan (CS), polyvinyl alcohol (PVA), and carboxymethyl cellulose (CMC) (CS/PVA/CMC), while the second was based on CS, PVA, and starch (SR) (CS/PVA/SR). Zinc oxide [...] Read more.
Two hemostatic bionanocomposite dressings were developed using natural, semi-natural (or semi-synthetic) and synthetic polymers. The first system consisted of chitosan (CS), polyvinyl alcohol (PVA), and carboxymethyl cellulose (CMC) (CS/PVA/CMC), while the second was based on CS, PVA, and starch (SR) (CS/PVA/SR). Zinc oxide (ZnO) nanoparticles and bicyclic monoterpene camphor (CP) ketone were incorporated as bioactive agents in order to enhance antimicrobial and hemostatic performance. FTIR spectroscopy confirmed the successful solvent casting synthesis of the dressings and the interactions between the biopolymers and additives. XRD analysis indicated a predominantly amorphous structure, while SEM images and EDS analysis revealed uniform dispersion of ZnO particles within the polymer matrices without aggregation. Furthermore, the CS/PVA/CMC-1ZnO/CP sample exhibited a water sorption of 12,666 ± 126%, while CS/PVA/SR-1ZnO/CP reached 7013 ± 215%. ZnO incorporation also improved mechanical performance, with CS/PVA/SR-2ZnO/CP displaying the highest tensile strength (39.18 ± 0.2 MPa) and elongation at break (9.54 ± 1.04%). ZnO incorporation also led to a concentration-dependent increase in antibacterial activity, with SR-based dressings achieving near-complete bacterial reduction at higher ZnO loadings. All the dressings demonstrated good biocompatibility, while CS/PVA/SR-1ZnOCP showed the fastest clotting time (420s ± 40), highlighting its potential for hemostatic applications. Full article
31 pages, 3278 KB  
Article
Q-Learning-Based Sailing Speed Optimization for Ocean-Going Liners Under the EU ETS: Considering Shipper Satisfaction
by Tong Zhou, Tiantian Bao, Yifan Liu and Chuanqiu Zhang
J. Mar. Sci. Eng. 2026, 14(9), 848; https://doi.org/10.3390/jmse14090848 (registering DOI) - 30 Apr 2026
Abstract
With the formal inclusion of the shipping industry in the European Union Emissions Trading System (EU ETS), the speed optimization of ocean-going container ships must simultaneously balance operating costs, incorporating carbon emission costs and shipper satisfaction with transportation timeliness. Taking ocean-going container liner [...] Read more.
With the formal inclusion of the shipping industry in the European Union Emissions Trading System (EU ETS), the speed optimization of ocean-going container ships must simultaneously balance operating costs, incorporating carbon emission costs and shipper satisfaction with transportation timeliness. Taking ocean-going container liner routes as the research object, this paper establishes a ship navigation resistance model based on meteorological and hydrological conditions, and constructs a route segmentation mechanism and a ship fuel consumption model on this basis. The spatially differentiated carbon accounting rules of the EU ETS are introduced, a fuzzy membership function is adopted to quantify shipper satisfaction, and a Q-learning-based solution algorithm for ship speed optimization that balances operating costs and shipper satisfaction is designed. Numerical experiments on a 20,150 Twenty-foot Equivalent Unit (TEU) container ship demonstrate that the proposed framework reduces total operating costs by 5.56%, EU ETS carbon compliance costs by 18.72%, and total voyage carbon emissions by 11.01% compared with the conventional constant-speed strategy. Meanwhile, the algorithm can spontaneously form an optimal speed strategy adapted to meteorological conditions and policy rules. Through parameter sensitivity analysis, this paper further extracts management implications for liner-operating companies. Full article
20 pages, 8184 KB  
Article
The Influence of the Drying Process on the Dissolution Time of Concentrated Chinese Medicine Pills: Roles of Textural Properties and Water Migration
by Xiaojun Wang, Qinmin Meng, Xiaojian Luo, Yao Zhang, Jing Yang, Xiaoyong Rao, Yingming Zhang, Haowei Lu, Yan He and Wei Liu
Pharmaceutics 2026, 18(5), 563; https://doi.org/10.3390/pharmaceutics18050563 (registering DOI) - 30 Apr 2026
Abstract
Objectives: Concentrated pills, as a modernization and upgrade of traditional pills, have achieved significant advancements in dosage form. However, their extended disintegration and dispersion times have become a major limitation to their therapeutic efficacy. Therefore, an in-depth study and explanation of the [...] Read more.
Objectives: Concentrated pills, as a modernization and upgrade of traditional pills, have achieved significant advancements in dosage form. However, their extended disintegration and dispersion times have become a major limitation to their therapeutic efficacy. Therefore, an in-depth study and explanation of the dissolution mechanism of concentrated pills, along with the development of processing technology to control dissolution time, has emerged as a critical bottleneck in improving the quality of concentrated pills. Methods: In this study, the Liuwei Dihuang (LWDH) concentrated pill, derived from the classical Liuwei Dihuang pill, was selected as a representative model. Two drying methods—hot-air drying and hot air–microwave combined drying—were comparatively investigated to evaluate their effects on dissolution time. The dissolution behavior was elucidated by analyzing water migration during the dissolution process, as well as the textural properties and internal structural characteristics of the pills using Low-Field Nuclear Magnetic Resonance (LF-NMR), Micro-Computed Tomography (Micro-CT), texture analysis, and other modern techniques. Results: The results indicated that: (i) The rate of water absorption during the dissolution process of the LWDH pill was influenced by the number and size of the internal pores. (ii) Hot air–microwave combined drying results in more pores and faster dissolution. (iii) High-Performance Liquid Chromatography (HPLC) fingerprints showed no significant differences in the active ingredients between the samples. Conclusions: The drying method significantly affected the internal structure of the pills, suggesting that controlling the drying process could address the prolonged dissolution time of concentrated pills. Full article
(This article belongs to the Special Issue Recent Advances in Pharmaceutical Formulation)
18 pages, 14696 KB  
Article
Effects of Magnesium on the Microstructure of Hypereutectic Al–20Si Alloys
by Liang Hu, Hui Zhao, Guanglin Zhu, Wenqi Han, Fengling Zhang, Xiaohao Yi, Qinru Tang and Wenhuan Shen
Metals 2026, 16(5), 491; https://doi.org/10.3390/met16050491 (registering DOI) - 30 Apr 2026
Abstract
A detailed analysis of the effects of magnesium on the microstructure of hypereutectic Al–20Si alloys is provided in this study. Experimental results show that the addition of Mg significantly refines the primary silicon phase relative to the unmodified Al–20Si alloy, transforming its morphology [...] Read more.
A detailed analysis of the effects of magnesium on the microstructure of hypereutectic Al–20Si alloys is provided in this study. Experimental results show that the addition of Mg significantly refines the primary silicon phase relative to the unmodified Al–20Si alloy, transforming its morphology from a complex form to a singular plate-like structure. Notably, for the first time, equiaxed aluminum grains appear in the aluminum matrix under conventional solidification conditions. The generation of these grains is closely related to the quenching effect caused by rapid cooling during metal mold casting, which promotes the generation of equiaxed aluminum grains within tightly constrained temporal and spatial parameters. The Al–Si eutectic structure exhibits a regular lamellar morphology, with an average eutectic silicon spacing of 930.97 nm. The phase analysis shows that the alloy mainly consists of Al, Si, and Mg2Si phases after the addition of Mg. With the increase in Mg concentration, the diffraction peaks for Al(200) and Si(220) first shift to lower angles and then move to higher angles, along with significant peak broadening. Ambient temperature mechanical testing indicates that tensile strength first increases with increasing Mg concentration, then declines, with the highest tensile strength of 235.1 MPa at 3 wt.% Mg in the Al–20Si alloy. The fracture mechanism of the testing specimens changes from cleavage fracture to ductile fracture. Microhardness testing indicates a continuous increase in the hardness of the aluminum matrix with rising Mg concentration; the hardness of primary silicon declines first and then increases, whereas the hardness of the eutectic structure exhibits a first increase followed by a decline. Full article
19 pages, 3013 KB  
Review
Selective Control Mechanisms, Quantitative Evaluation, and Sustainable Strategies for Cultural Heritage Surface Cleaning
by Jiaxin Zhang, Yutong Liu, Xiang Liu, Shanxiang Xu, Wenxuan Chen and Xinyou Liu
Polymers 2026, 18(9), 1116; https://doi.org/10.3390/polym18091116 (registering DOI) - 30 Apr 2026
Abstract
The conservation of cultural heritage artifacts requires precise and controlled cleaning strategies to remove surface contaminants while preserving the structural and aesthetic integrity of the original materials. Over time, artifacts made of stone, paper, textiles, and other materials are exposed to environmental pollution, [...] Read more.
The conservation of cultural heritage artifacts requires precise and controlled cleaning strategies to remove surface contaminants while preserving the structural and aesthetic integrity of the original materials. Over time, artifacts made of stone, paper, textiles, and other materials are exposed to environmental pollution, chemical reactions, and microbial colonization, which lead to the accumulation of complex contaminant layers and progressive material degradation. In recent years, significant advances in materials science have introduced innovative cleaning approaches, including polymer gels, microemulsions, nanomaterials, and enzyme-assisted systems, which enable selective contaminant removal with reduced risk of substrate damage. These methods provide improved control over solvent release, contaminant dissolution, and interaction with sensitive surfaces compared to conventional mechanical and chemical cleaning techniques. In addition, advanced analytical tools such as Raman spectroscopy, surface-enhanced Raman spectroscopy (SERS), and X-ray fluorescence (XRF) have enabled quantitative evaluation of cleaning efficiency and more accurate monitoring of conservation processes. This review summarizes the major contamination mechanisms affecting cultural heritage materials and discusses recent developments in cleaning technologies, functional materials, and evaluation methods. The analysis shows that selective cleaning methods can significantly minimize damage to the underlying substrate, while environmentally friendly functional materials combined with multi-dimensional quantitative evaluation provide an effective and sustainable framework for cultural heritage conservation. Full article
24 pages, 43659 KB  
Article
Microstructural Reconstruction and Interfacial Regulation in a CaCl2–Sodium Polyacrylate Organic–Inorganic Composite System for High-Liquid-Limit Clay
by Lu Zhang, Pengbin Gao, Yongjian Wu, Fabo Liu, Wenyue Huang, Haiyan Mou and Wenqing Chen
J. Compos. Sci. 2026, 10(5), 248; https://doi.org/10.3390/jcs10050248 (registering DOI) - 30 Apr 2026
Abstract
High-liquid-limit clay exhibits pronounced water sensitivity due to the strong electrostatic repulsion and weak interparticle bonding within its microstructure, which often limits its direct engineering uses and complicates the reuse of excavated clayey soils generated during the construction of transportation infrastructure. In this [...] Read more.
High-liquid-limit clay exhibits pronounced water sensitivity due to the strong electrostatic repulsion and weak interparticle bonding within its microstructure, which often limits its direct engineering uses and complicates the reuse of excavated clayey soils generated during the construction of transportation infrastructure. In this study, inorganic salts (KCl, CaCl2 and FeCl3) and carboxyl-containing polymers (PAAS, HPMA and CMC) were screened to construct organic–inorganic composite stabilization systems. Based on the screening results, an organic–inorganic composite system composed of CaCl2 and sodium polyacrylate (PAAS) was developed to regulate interfacial interactions and induce microstructural reconstruction in clay. The synergistic mechanisms governing particle aggregation and dispersion were systematically investigated through Atterberg limit tests, zeta potential measurements, DLVO theoretical calculations, particle size analysis, scanning electron microscopy (SEM) and immersion disintegration experiments, combined with multivariate statistical modeling. Among the tested salt–polymer formulations, a composite system with 2% CaCl2 and 0.1% PAAS showed the most favorable overall performance, achieving an optimal balance between electrostatic compression and steric stabilization, leading to enhanced structural integrity and delayed water-induced disintegration. Ca2+ ions compress the diffuse double layer and promote particle flocculation, whereas adsorbed PAAS chains introduce steric hindrance and interfacial modification. Their synergistic interaction reconstructs the pore–aggregate framework and regulates the interparticle potential energy landscape. DLVO analysis indicates that the optimized system attains a moderate critical interaction distance (hc = 7.31 nm) and primary minimum depth (DPM = −2.72 × 10−16 J), reflecting a balanced interfacial bonding state. Multivariate statistical analyses further reveal a dual control pathway, in which consistency primarily governs disintegration duration, with additional contributions from surface electrochemical properties, while surface properties, soil structure and consistency collectively influence disintegration initiation. These findings elucidate the interfacial regulation and structural evolution mechanisms in organic–inorganic composite systems and provide insights into the design of composite modifiers for water-sensitive particulate materials, particularly for the resource reuse of high-liquid-limit clay excavated during the construction of transportation infrastructure and related geotechnical engineering applications. Full article
(This article belongs to the Section Composites Applications)
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Article
Deciphering the Seasonal Thermal Environments in Kunming’s Central Urban Area Using LST and Interpretable Geo-Machine Learning
by Jiangqin Chao, Yingyun Li, Jianyu Liu, Jing Fan, Yinghui Zhou, Maofen Li and Shiguang Xu
Remote Sens. 2026, 18(9), 1395; https://doi.org/10.3390/rs18091395 (registering DOI) - 30 Apr 2026
Abstract
Rapid urbanization and complex topography complicate Urban Heat Island (UHI) spatio-temporal dynamics. Traditional models and coarse-resolution imagery often fail to capture fine-scale, spatially non-stationary seasonal driving mechanisms. This study investigates the multi-dimensional drivers of surface thermal dynamics in Kunming, a typical low-latitude plateau [...] Read more.
Rapid urbanization and complex topography complicate Urban Heat Island (UHI) spatio-temporal dynamics. Traditional models and coarse-resolution imagery often fail to capture fine-scale, spatially non-stationary seasonal driving mechanisms. This study investigates the multi-dimensional drivers of surface thermal dynamics in Kunming, a typical low-latitude plateau city, using seasonal median LST composite (2018–2025). Integrating eXtreme Gradient Boosting (XGBoost) with eXplainable Artificial Intelligence (XAI) models decoupled the nonlinear impacts of these drivers. Results reveal a seasonal thermal dichotomy: Summer exhibits the most intense UHI effect with extreme peak temperatures, while Spring presents an anomaly where natural and vegetated Local Climate Zones (LCZs) show pronounced warming. SHapley Additive exPlanations (SHAP) analysis identified a seasonal rotation: anthropogenic and structural factors dominate Summer and Autumn warming, whereas natural and topographic regulators govern Spring and Winter. GeoShapley deconstruction demonstrated strong spatial non-stationarity. Building-density warming is amplified in poorly ventilated urban cores, and fragmented vegetation’s cooling is offset by anthropogenic heat during peak summer. This study provides new insights into the seasonal drivers of urban thermal environments in plateau cities. Full article
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