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Authors = Zhonghua Zhang

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20 pages, 14936 KiB  
Article
Viscosity, Morphology, and Thermomechanical Performance of Attapulgite-Reinforced Bio-Based Polyurethane Asphalt Composites
by Haocheng Yang, Suzhou Cao, Xinpeng Cui, Zhonghua Xi, Jun Cai, Zuanru Yuan, Junsheng Zhang and Hongfeng Xie
Polymers 2025, 17(15), 2045; https://doi.org/10.3390/polym17152045 - 26 Jul 2025
Viewed by 393
Abstract
Bio-based polyurethane asphalt binder (PUAB) derived from castor oil (CO) is environmentally friendly and exhibits extended allowable construction time. However, CO imparts inherently poor mechanical performance to bio-based PUAB. To address this limitation, attapulgite (ATT) with fibrous nanostructures was incorporated. The effects of [...] Read more.
Bio-based polyurethane asphalt binder (PUAB) derived from castor oil (CO) is environmentally friendly and exhibits extended allowable construction time. However, CO imparts inherently poor mechanical performance to bio-based PUAB. To address this limitation, attapulgite (ATT) with fibrous nanostructures was incorporated. The effects of ATT on bio-based PUAB were systematically investigated, including cure kinetics, rotational viscosity (RV) evolution, phase-separation microstructures, dynamic mechanical properties, thermal stability, and mechanical performance. Experimental characterization employed Fourier transform infrared spectroscopy, Brookfield viscometry, laser scanning confocal microscopy, dynamic mechanical analysis, thermogravimetry, and tensile testing. ATT incorporation accelerated the polyaddition reaction conversion between isocyanate groups in polyurethane (PU) and hydroxyl groups in ATT. Paradoxically, it reduced RV during curing, prolonging allowable construction time proportionally with clay content. Additionally, ATT’s compatibilizing effect decreased bitumen particle size in PUAB, with scaling proportionally with clay loading. While enhancing thermal stability, ATT lowered the glass transition temperature and damping properties. Crucially, 1 wt% ATT increased tensile strength by 71% and toughness by 62%, while maintaining high elongation at break (>400%). The cost-effectiveness and significant reinforcement capability of ATT make it a promising candidate for producing high-performance bio-based PUAB composites. Full article
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21 pages, 2263 KiB  
Article
Elevational Patterns and Drivers of Soil Total, Microbial, and Enzymatic C:N:P Stoichiometry in Karst Peak-Cluster Depressions in Southwestern China
by Siyu Chen, Chaohao Xu, Cong Hu, Chaofang Zhong, Zhonghua Zhang and Gang Hu
Forests 2025, 16(8), 1216; https://doi.org/10.3390/f16081216 - 24 Jul 2025
Viewed by 288
Abstract
Elevational gradients in temperature, moisture, and vegetation strongly influence soil nutrient content and stoichiometry in mountainous regions. However, exactly how total, microbial, and enzymatic carbon (C), nitrogen (N), and phosphorus (P) stoichiometry vary with elevation in karst peak-cluster depressions remains poorly understood. To [...] Read more.
Elevational gradients in temperature, moisture, and vegetation strongly influence soil nutrient content and stoichiometry in mountainous regions. However, exactly how total, microbial, and enzymatic carbon (C), nitrogen (N), and phosphorus (P) stoichiometry vary with elevation in karst peak-cluster depressions remains poorly understood. To address this, we studied soil total, microbial, and enzymatic C:N:P stoichiometry in seasonal rainforests within karst peak-cluster depressions in southwestern China at different elevations (200, 300, 400, and 500 m asl) and depths (0–20 and 20–40 cm). We found that soil organic carbon (SOC), total nitrogen (TN), and the C:P and N:P ratios increased significantly with elevation, whereas total phosphorus (TP) decreased. Microbial phosphorus (MBP) also declined with elevation, while the microbial N:P ratio rose. Activities of nitrogen- (β-N-acetylglucosaminidase and L-leucine aminopeptidase combined) and phosphorus-related enzymes (alkaline phosphatase) increased markedly with elevation, suggesting potential phosphorus limitation for plant growth at higher elevations. Our results suggest that total, microbial, and enzymatic soil stoichiometry are collectively shaped by topography and soil physicochemical properties, with elevation, pH, and exchangeable calcium (ECa) acting as the key drivers. Microbial stoichiometry exhibited positive interactions with soil stoichiometry, while enzymatic stoichiometry did not fully conform to the expectations of resource allocation theory, likely due to the functional specificity of phosphatase. Overall, these findings enhance our understanding of C–N–P biogeochemical coupling in karst ecosystems, highlight potential nutrient limitations, and provide a scientific basis for sustainable forest management in tropical karst regions. Full article
(This article belongs to the Section Forest Soil)
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14 pages, 1482 KiB  
Article
The Physiological Mechanism of Arbuscular Mycorrhizal in Regulating the Growth of Trifoliate Orange (Poncirus trifoliata L. Raf.) Under Low-Temperature Stress
by Changlin Li, Xian Pei, Qiaofeng Yang, Fuyuan Su, Chuanwu Yao, Hua Zhang, Zaihu Pang, Zhonghua Yao, Dejian Zhang and Yan Wang
Horticulturae 2025, 11(7), 850; https://doi.org/10.3390/horticulturae11070850 - 18 Jul 2025
Viewed by 306
Abstract
In recent years, low temperature has seriously threatened the citrus industry. Arbuscular mycorrhizal fungi (AMF) can enhance the absorption of nutrients and water and tolerance to abiotic stresses. In this study, pot experiments were conducted to study the effects of low-temperature stress on [...] Read more.
In recent years, low temperature has seriously threatened the citrus industry. Arbuscular mycorrhizal fungi (AMF) can enhance the absorption of nutrients and water and tolerance to abiotic stresses. In this study, pot experiments were conducted to study the effects of low-temperature stress on citrus (trifoliate orange, Poncirus trifoliata L. Raf.) with AMF (Diversispora epigaea D.e). The results showed that AMF inoculation significantly increased plant growth, chlorophyll fluorescence, and photosynthetic parameters. Compared with 25 °C, −5 °C significantly increased the relative conductance rate and the contents of malondialdehyde, hydrogen peroxide, soluble sugar soluble protein, and proline, and also enhanced the activities of catalase and superoxide dismutase, but dramatically reduced photosynthetic parameters. Compared with the non-AMF group, AMF significantly increased the maximum light quantum efficiency and steady-state light quantum efficiency at 25 °C (by 16.67% and 61.54%), and increased the same parameters by 71.43% and 140% at −5 °C. AMF also significantly increased the leaf net photosynthetic rate and transpiration rate at 25 °C (by 54.76% and 29.23%), and increased the same parameters by 72.97% and 26.67% at −5 °C. Compared with the non-AMF treatment, the AMF treatment significantly reduced malondialdehyde and hydrogen peroxide content at 25 °C (by 46.55% and 41.29%), and reduced them by 28.21% and 29.29% at −5 °C. In addition, AMF significantly increased the contents of soluble sugar, soluble protein, and proline at 25 °C (by 15.22%, 34.38%, and 11.38%), but these increased by only 9.64%, 0.47%, and 6.09% at −5 °C. Furthermore, AMF increased the activities of superoxide dismutase and catalase at 25 °C (by 13.33% and 13.72%), but these increased by only 5.51% and 13.46% at −5 °C. In conclusion, AMF can promote the growth of the aboveground and underground parts of trifoliate orange seedlings and enhance their resistance to low temperature via photosynthesis, osmoregulatory substances, and their antioxidant system. Full article
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20 pages, 4089 KiB  
Article
Epicatechin Gallate Regulation of Steroid Hormone Levels Improves Sarcopenia in C57BL/6J Mice
by Ziwei Huang, Meifeng Liu, Yufei Zhou, Yiyu Tang, Jian’an Huang, Sheng Zhang, Zhonghua Liu and Ailing Liu
Foods 2025, 14(14), 2495; https://doi.org/10.3390/foods14142495 - 16 Jul 2025
Viewed by 332
Abstract
The decline in differentiation capacity during skeletal muscle (SkM) aging contributes to the deterioration of skeletal muscle function and impairs regenerative ability. Epicatechin gallate (ECG), a major functional component of catechins found in tea, has an unclear role in aging-related sarcopenia. In vivo [...] Read more.
The decline in differentiation capacity during skeletal muscle (SkM) aging contributes to the deterioration of skeletal muscle function and impairs regenerative ability. Epicatechin gallate (ECG), a major functional component of catechins found in tea, has an unclear role in aging-related sarcopenia. In vivo experiments in 54-week-old C57BL/6J mice showed that ECG treatment improved exercise performance, muscle mass, and fiber morphology and downregulated the expression of the testosterone metabolic enzyme gene UGT2A3 in aged mice. In vitro experiments with Leydig cells (TM3) demonstrated that ECG upregulated the mRNA and protein expression levels of testosterone synthase genes, including StAR, P450scc, 3β-HSD, CYP17a1, and 17β-HSD. Network pharmacology analysis further suggested that ECG can influence testosterone secretion through the regulation of cytokines, thereby promoting skeletal muscle differentiation. These findings indicate that ECG enhances the differentiation of skeletal muscle cells by modulating testosterone levels, which helps alleviate age-related muscle function decline. Full article
(This article belongs to the Section Food Nutrition)
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32 pages, 6094 KiB  
Article
A Study of the Soil–Wall–Indoor Air Thermal Environment in a Solar Greenhouse
by Zhi Zhang, Yu Li, Liqiang Wang, Weiwei Cheng and Zhonghua Liu
Sensors 2025, 25(13), 4041; https://doi.org/10.3390/s25134041 - 28 Jun 2025
Viewed by 331
Abstract
Greenhouses offer optimal environments for crop cultivation during the winter months. The rationale for this study was identified as the synergistic exchange of air between the soil, the wall, and the indoor environment within the greenhouse (referring to the coupling law of the [...] Read more.
Greenhouses offer optimal environments for crop cultivation during the winter months. The rationale for this study was identified as the synergistic exchange of air between the soil, the wall, and the indoor environment within the greenhouse (referring to the coupling law of the temperature fields of the three elements in space and time, including the direction of heat transfer and the consistency of the temperature zoning), thereby maintaining a more optimal temperature. However, there is a paucity of research on the impact of different spans on the thermal environment in solar greenhouses and even fewer studies on the synergistic law of changes in soil-wall indoor air in solar greenhouses with different spans. In this study, two solar greenhouses with different spans were analyzed through a combination of experiments as follows: K-means classification optimized using the grey wolf optimizer (GWO), computational fluid dynamics (CFD) simulations, and long short-term memory (LSTM) prediction models. The two solar greenhouses, designated as S1 and S2, had spans of 11 m and 10 m, respectively. The results are as follows: In two greenhouses when the span and temperature were the same, the indoor air temperature and soil temperature of the S1 greenhouse were lower than those of the S2 greenhouse; there was an isothermal layer in the north wall of greenhouses S1 and S2 (a stable area where the temperature change over time is less than 0.5 °C), the horizontal distance between the isothermal layer on the inside of the greenhouse wall and the inside of the wall was more than 400 mm, and that of the outside of the greenhouse wall was more than 200 mm; within the solar greenhouse, this study identified that heat was emitted from the inner surface of the wall (at 0 mm from the inner surface) toward the outer surface of the wall (at 0 mm from the outer surface), as well as at a horizontal distance of 200 mm from the inner surface of the wall. The temperature data from 0:00 to 8:00 at night were selected for the purpose of analyzing the temperature synergistic change in soil-wall indoor air in the S1 greenhouse. The temperature change can be classified into four categories according to K-means classification, which was optimized based on the grey wolf algorithm. The categories were as follows: high-temperature region, medium-high temperature region, medium-low temperature region, and low-temperature region. The low-temperature region spanned the range of X = (800, 3000) mm, and its height range was Y = (−150, 1200) mm. The CFD model and LSTM prediction model have been shown to be superior, and the findings of this study offer a theoretical basis for the optimization of thermal environment control in solar greenhouses. Full article
(This article belongs to the Section Smart Agriculture)
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20 pages, 4362 KiB  
Article
Ultra-Low Dielectric Constant Ca3(BO3)2 Microwave Ceramics and Their Performance Simulation in 5G Microstrip Patch Antennas
by Fangyuan Liu, Fuzhou Song, Wanghuai Zhu, Zhengpu Zhang, Zhonghua Yao, Hanxing Liu, Huaao Sun, Guangran Lin, Yue Xu, Lingcui Zhang, Yan Shen, Jinbo Zhao, Zeming Qi, Feng Shi and Jinghui Li
Crystals 2025, 15(7), 599; https://doi.org/10.3390/cryst15070599 - 25 Jun 2025
Viewed by 269
Abstract
Ca3(BO3)2 microwave dielectric ceramics with space group R-3c (#167) were prepared by cold sintering, and their properties were systematically investigated. Phonon density of state diagrams for the Ca3(BO3)2 lattice were obtained based on [...] Read more.
Ca3(BO3)2 microwave dielectric ceramics with space group R-3c (#167) were prepared by cold sintering, and their properties were systematically investigated. Phonon density of state diagrams for the Ca3(BO3)2 lattice were obtained based on first-principles calculations to provide a more comprehensive understanding of the lattice vibrational properties of the material. Raman scattering and infrared reflectance spectroscopy were employed to investigate the lattice vibrational characteristics, identifying two types of vibrational modes: internal modes associated with the planar bending and symmetric stretching vibrations of the [BO3] group, and external modes linked to the vibrations of the [CaO6] octahedron. The intrinsic dielectric properties were determined by fitting the experimental data using a four-parameter semi-quantum model. The results demonstrate that the dielectric properties of Ca3(BO3)2 ceramics are primarily influenced by the external vibrational modes. The sample under 800 MPa exhibits optimal dielectric performance, with a dielectric constant (εr) of 5.95, a quality factor (Q × f) of 11,836 GHz, and a temperature coefficient of resonant frequency (τf) of −39.89 ppm/°C. A simulation of this Ca3(BO3)2 sample as a dielectric substrate was conducted using HFSS to fabricate a microstrip patch antenna operating at 14.97 GHz, which exhibits a return loss (S11) of −25.5 dB and a gain of 7.15 dBi. Full article
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28 pages, 1191 KiB  
Review
piRNAs as Potential Regulators of Mammary Gland Development and Pathology in Livestock
by Wenjing Yu, Zixuan Zhang, Zhonghua Wang, Xusheng Dong and Qiuling Hou
Vet. Sci. 2025, 12(6), 594; https://doi.org/10.3390/vetsci12060594 - 17 Jun 2025
Viewed by 690
Abstract
PiRNAs are a subclass of non-coding RNAs, 26–31 nucleotides (nt) in length, that form regulatory complexes through their interaction with PIWI proteins. Studies in model organisms have demonstrated that piRNAs play crucial roles in tissue development and in predicting disease outcomes, positioning them [...] Read more.
PiRNAs are a subclass of non-coding RNAs, 26–31 nucleotides (nt) in length, that form regulatory complexes through their interaction with PIWI proteins. Studies in model organisms have demonstrated that piRNAs play crucial roles in tissue development and in predicting disease outcomes, positioning them as promising targets for developmental regulation and therapeutic intervention. In contrast, research on piRNAs in animal husbandry is still in its early stages and has not received sufficient attention. Despite this, the few studies available in livestock research have revealed that piRNAs serve as key regulators of reproductive development, underscoring their significant regulatory potential in farm animals and justifying further investigation. Accordingly, this review uses the bovine mammary gland as an exemplary case to summarize the progress in piRNA research related to mammary development and disease. The role of piRNAs in regulating breast cancer stem cell proliferation and modulating inflammatory progression is a highly active area of research. We hypothesize that piRNAs may play a potential role in regulating both mammary gland development and mastitis, making them promising targets for enhancing mammary development and overall health in dairy cattle and providing a theoretical foundation for further piRNA applications in animal husbandry. Full article
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17 pages, 2772 KiB  
Article
A Study on the Pantograph Slide Wear Model Based on Energy Dissipation
by Yiming Dong, Binghong Li, Zhonghua Chen, Hebin Wang and Huayang Zhang
Appl. Sci. 2025, 15(12), 6748; https://doi.org/10.3390/app15126748 - 16 Jun 2025
Viewed by 311
Abstract
During train operations, the contact surface between the pantograph slide and the catenary wire is subjected to mechanical friction and an electrical current, leading to an increase in the wear of the pantograph slide and a reduction in the service life of the [...] Read more.
During train operations, the contact surface between the pantograph slide and the catenary wire is subjected to mechanical friction and an electrical current, leading to an increase in the wear of the pantograph slide and a reduction in the service life of the pantograph–catenary friction pair. Therefore, the study of pantograph slide wear modeling and prediction is of great significance. This paper proposes a method to quantitatively characterize the wear of the pantograph slide by analyzing the energy dissipated through current-carrying friction in the pantograph–catenary system, from the perspective of the work done by the system. This study finds a significant linear relationship between the wear of the pantograph slide and the energy dissipated by current-carrying friction and establishes a mathematical model for pantograph slide wear based on energy dissipation, validating the effectiveness of the model. Furthermore, the relationship between the dissipated energy, contact current, contact pressure, and sliding speed is explored using experimental data, providing a quantitative explanation of the interaction between electrical and mechanical wear from an energy perspective. The wear morphology of the pantograph slide surface is further examined using metallographic microscopy, and the wear mechanism is analyzed. The applicability of the wear model is discussed, and it can be used for further studies on the current-carrying wear mechanisms in pantograph–catenary systems. Full article
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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14 pages, 6581 KiB  
Article
High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry
by Lou Gao, Hongchao Zhang, Jian Lu and Zhonghua Shen
Photonics 2025, 12(6), 601; https://doi.org/10.3390/photonics12060601 - 11 Jun 2025
Viewed by 750
Abstract
This study employs the simultaneous phase-shift interferometry (SPSI) system to diagnose laser-induced plasma (LIP) and shock wave (SW). In high-density LIP diagnostics, the Faraday rotation effect causes probe light polarization deflection, rendering traditional fixed-phase-demodulation methods ineffective, the Carré phase-recovery algorithm is adopted and [...] Read more.
This study employs the simultaneous phase-shift interferometry (SPSI) system to diagnose laser-induced plasma (LIP) and shock wave (SW). In high-density LIP diagnostics, the Faraday rotation effect causes probe light polarization deflection, rendering traditional fixed-phase-demodulation methods ineffective, the Carré phase-recovery algorithm is adopted and its applicability is verified. Uncertainty analysis and precision verification show that the total phase shift uncertainty is controlled within 0.045 radians, equivalent to a refractive index accuracy of 8.55×106, with sensitivity to weak perturbations improved by approximately one order of magnitude compared to conventional carrier-frequency interferometry. Experimental results demonstrate that the SPSI system precisely captures the initial spatiotemporal evolution of LIP and tracks shock waves at varying attenuation levels, exhibiting notable advantages in weak shock wave detection. This research validates the SPSI system’s high sensitivity to transient weak perturbations, offering a valuable diagnostic tool for high-vacuum plasmas, low-pressure shock waves, and stress waves in optical materials. Full article
(This article belongs to the Special Issue Advances in Laser Measurement)
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18 pages, 5409 KiB  
Article
Research on Motion Transfer Method from Human Arm to Bionic Robot Arm Based on PSO-RF Algorithm
by Yuanyuan Zheng, Hanqi Zhang, Gang Zheng, Yuanjian Hong, Zhonghua Wei and Peng Sun
Biomimetics 2025, 10(6), 392; https://doi.org/10.3390/biomimetics10060392 - 11 Jun 2025
Viewed by 487
Abstract
Although existing motion transfer methods for bionic robot arms are based on kinematic equivalence or simplified dynamic models, they frequently fail to tackle dynamic compliance and real-time adaptability in complex human-like motions. To address this shortcoming, this study presents a motion transfer method [...] Read more.
Although existing motion transfer methods for bionic robot arms are based on kinematic equivalence or simplified dynamic models, they frequently fail to tackle dynamic compliance and real-time adaptability in complex human-like motions. To address this shortcoming, this study presents a motion transfer method from the human arm to a bionic robot arm based on the hybrid PSO-RF (Particle Swarm Optimization-Random Forest) algorithm to improve joint space mapping accuracy and dynamic compliance. Initially, a high-precision optical motion capture (Mocap) system was utilized to record human arm trajectories, and Kalman filtering and a Rauch–Tung–Striebel (RTS) smoother were applied to reduce noise and phase lag. Subsequently, the joint angles of the human arm were computed through geometric vector analysis. Although geometric vector analysis offers an initial estimation of joint angles, its deterministic framework is subject to error accumulation caused by the occlusion of reflective markers and kinematic singularities. To surmount this limitation, this study designed five action sequences for the establishment of the training database for the PSO-RF model to predict joint angles when performing different actions. Ultimately, an experimental platform was built to validate the motion transfer method, and the experimental verification showed that the system attained high prediction accuracy (R2 = 0.932 for the elbow joint angle) and real-time performance with a latency of 0.1097 s. This paper promotes compliant human–robot interaction by dealing with joint-level dynamic transfer challenges, presenting a framework for applications in intelligent manufacturing and rehabilitation robotics. Full article
(This article belongs to the Special Issue Advances in Biological and Bio-Inspired Algorithms)
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18 pages, 8733 KiB  
Article
Bio-Based Polyurethane Asphalt Binder with Continuous Polymer-Phase Structure: Critical Role of Isocyanate Index in Governing Thermomechanical Performance and Phase Morphology
by Haocheng Yang, Suzhou Cao, Chengwei Wu, Zhonghua Xi, Jun Cai, Zuanru Yuan, Junsheng Zhang and Hongfeng Xie
Molecules 2025, 30(11), 2466; https://doi.org/10.3390/molecules30112466 - 4 Jun 2025
Cited by 1 | Viewed by 561
Abstract
Polyurethane asphalt (PUA) has attracted considerable attention in the field of pavement engineering. However, traditional PUA systems typically exhibit low concentrations of polyurethane (PU), leading to a continuous bitumen-dominated phase that adversely affects mechanical properties. Furthermore, the non-renewable nature of raw materials raises [...] Read more.
Polyurethane asphalt (PUA) has attracted considerable attention in the field of pavement engineering. However, traditional PUA systems typically exhibit low concentrations of polyurethane (PU), leading to a continuous bitumen-dominated phase that adversely affects mechanical properties. Furthermore, the non-renewable nature of raw materials raises environmental concerns. To address these limitations, this study developed an eco-friendly and cost-efficient bio-based PUA binder (PUAB) featuring a continuous high-biomass PU matrix (over 70% biomass) and a high bitumen content (60 wt%). The effects of the isocyanate index (NCO/OH ratio) on the cure kinetics, rheological behavior (rotational viscosity over time), viscoelasticity, damping capacity, phase morphology, thermal stability, and mechanical performance were systematically investigated using Fourier-transform infrared spectroscopy, dynamic mechanical analysis, laser-scanning confocal microscopy, and tensile testing. Key findings revealed that while the rotational viscosity of PUABs increased with a higher isocyanate index, all formulations maintained a longer allowable construction time. Specifically, the time to reach 1 Pa·s for all PUABs at 120 °C exceeded 60 min. During curing, higher isocyanate indices reduced final conversions but enhanced the storage modulus and glass transition temperatures, indicating improved rigidity and thermal resistance. Phase structure analysis demonstrated that increasing NCO/OH ratios reduced bitumen domain size while improving dispersion uniformity. Notably, the PUAB with the NCO/OH ratio of 1.3 achieved a tensile strength of 1.27 MPa and an elongation at break of 238%, representing a 49% improvement in toughness compared to the counterpart with an NCO/OH ratio = 1.1. These results demonstrate the viability of bio-based PUAB as a sustainable pavement material, offering a promising solution for environmentally friendly infrastructure development. Full article
(This article belongs to the Special Issue Exclusive Feature Papers in Macromolecular Chemistry)
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15 pages, 4171 KiB  
Article
Comparative Analysis of Microalgae’s Physiological Responses to Fibrous and Layered Clay Minerals
by Zhongquan Jiang, Tianyi Wei, Sijia Wu, Zhongyang Wang, Zhonghua Zhao, Lu Zhang, Ying Ge and Zhen Li
Biology 2025, 14(6), 647; https://doi.org/10.3390/biology14060647 - 3 Jun 2025
Viewed by 536
Abstract
Microalgae interact with mineral particles in an aqueous environment, yet how clay minerals affect physiological processes in algal cells remains unexplored. In this study, we compared the effects of palygorskite (Pal) and montmorillonite (Mt), which respectively represent fibrous and layered clay minerals, on [...] Read more.
Microalgae interact with mineral particles in an aqueous environment, yet how clay minerals affect physiological processes in algal cells remains unexplored. In this study, we compared the effects of palygorskite (Pal) and montmorillonite (Mt), which respectively represent fibrous and layered clay minerals, on the physiological processes of Chlamydomonas reinhardtii. It was observed that C. reinhardtii responded differently to the treatments of Pal and Mt. The Pal particles bound tightly to and even inserted themselves into cells, resulting in a significant decrease in cell numbers from 27.35 to 21.02 × 107 mL−1. However, Mt was only loosely attached to the cell surface. The photosynthesis in the algal cells was greatly inhibited by Pal, with the rETRmax significantly reduced from 103.80 to 56.67 μmol electrons m−2s−1 and the downregulation of IF2CP, psbH and OHP1, which are key genes involved in photosynthesis. In addition, Pal reduced the quantities of proteins and polysaccharides in extracellular polymeric substances (EPSs) and the P uptake by C. reinhardtii when the P level in the culture was 3.15 mg/L. However, no significant changes were found regarding the above EPS components or the amount of P in algal cells upon the addition of Mt. Together, the impacts of fibrous Pal on C. reinhardtii was more profound than those of layered Mt. Full article
(This article belongs to the Special Issue Global Fisheries Resources, Fisheries, and Carbon-Sink Fisheries)
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17 pages, 4669 KiB  
Article
Effect of Caragana korshinskii Plantation Succession on Community Stability in Alpine Sandy Regions
by Zhengchen Shi, Li Ma, Zhonghua Zhang, Honglin Li, Dengxian Wei, Xuebin Zhao, Ruimin Qin, Hongye Su, Shan Li, Xue Hu, Haze Ade and Huakun Zhou
Agriculture 2025, 15(11), 1143; https://doi.org/10.3390/agriculture15111143 - 26 May 2025
Viewed by 323
Abstract
Climate change and intensified human activities have led to plant degradation and land desertification in desert areas, which seriously threaten ecological security. The establishment of the Caragana korshinskii plantation is considered to be one of the important means to improve the ecological environment [...] Read more.
Climate change and intensified human activities have led to plant degradation and land desertification in desert areas, which seriously threaten ecological security. The establishment of the Caragana korshinskii plantation is considered to be one of the important means to improve the ecological environment in thealpine sandy region. This study focuses on Caragana korshinskii plantation in the alpine sandy region of the Qinghai–Tibet Plateau. Adopting a space-for-time substitution approach, six restoration chrono sequences were selected: 0 years, 5 years, 15 years, 25 years, 35 years, and 50 years. By investigating the variations in vegetation community composition and soil properties, we aim to elucidate the plant and soil system interactions under different restoration durations. The findings will clarify the stability evolution patterns of Caragana korshinskii plantation during desertification control and contribute to promoting green development strategies. The main conclusions of this study are as follows: With the passage of planting time, the plant biomass and species diversity of the Caragana korshinskii plantation community showed a trend of first increasing and then decreasing, reaching their peak in 25~35 years. Soil water content exhibited fluctuating trends, while soil organic matter showed progressive accumulation, demonstrating that Caragana korshinskii plantations effectively improved soil fertility. Community stability reaches its maximum (4.98) at 25 years. In summary, the Caragana korshinskii plantation are in an early stage of ecological secondary succession, with plant communities developing from simple to complex structures and gradually approaching, though not yet achieving a stable state. Full article
(This article belongs to the Special Issue Research on Soil Carbon Dynamics at Different Scales on Agriculture)
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21 pages, 3522 KiB  
Article
The Influence of Geometry of Helical Anchors on Frost-Heave Performance in Seasonal Frozen Regions
by Ji Zhang, Yan Liu, Zhonghua Lv, Dongxue Hao, Xinying Zhao, Haoyu Wang, Yexian Shi and Yuhang Zhang
Buildings 2025, 15(10), 1685; https://doi.org/10.3390/buildings15101685 - 16 May 2025
Viewed by 280
Abstract
Helical anchors are deep foundation systems that offer high uplift capacity due to the increased interaction area between the helix and surrounding soil, thus exhibiting strong potential for resisting frost jacking in cold-region engineering. The influence of helical anchor geometry on frost heave [...] Read more.
Helical anchors are deep foundation systems that offer high uplift capacity due to the increased interaction area between the helix and surrounding soil, thus exhibiting strong potential for resisting frost jacking in cold-region engineering. The influence of helical anchor geometry on frost heave behavior remains a critical yet insufficiently understood factor in engineering designs. Accordingly, this study conducts experimental and numerical investigations to evaluate the effects of helix number, helix diameter, helix spacing, and freeze–thaw cycles on frost jacking and thaw-induced settlement. The results indicate that the frost jacking and residual displacement after thawing gradually decrease with increasing freeze–thaw cycles and tend to stabilize after more than three cycles. Numerical simulations show that the residual displacements for full-scale anchors range from 12% to 33% of the peak frost jacking. Anchors with a greater number of helices demonstrate improved resistance to frost jacking when the uplift capabilities are comparable. When the helix spacing ranges from 2D to 6D (where D denotes the helix diameter), the double-helix anchor with 2D spacing exhibits the highest stability during freeze–thaw cycles, followed by the anchor with 3D spacing. However, the anchor with 2D spacing yields the lowest uplift capacity under unfrozen soil conditions. Anchors with a helix spacing of 2D to 3D are recommended for resisting freeze–thaw effects, provided that this configuration does not significantly reduce the uplift capacity. Full article
(This article belongs to the Section Building Structures)
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19 pages, 6245 KiB  
Article
Ensemble Learning-Based Approach for Forecasting Inventory Data in Prefabricated Component Warehousing
by Shuo Lin, Xianyu Huang, Shunchao Zhang and Zhonghua Han
Processes 2025, 13(5), 1443; https://doi.org/10.3390/pr13051443 - 8 May 2025
Cited by 1 | Viewed by 620
Abstract
Accurately predicting the storage area of prefabricated components facilitates transshipment scheduling and prevents the waste of storage space. Due to the influence of numerous factors, precise prediction remains challenging. Currently, limited research has addressed the prediction of storage areas for prefabricated components, and [...] Read more.
Accurately predicting the storage area of prefabricated components facilitates transshipment scheduling and prevents the waste of storage space. Due to the influence of numerous factors, precise prediction remains challenging. Currently, limited research has addressed the prediction of storage areas for prefabricated components, and effective solutions are lacking. To address this issue, a GRU model with an attention mechanism based on ensemble learning was proposed. The model employed the Bo-Bi-ATT-GRU approach to address the time series prediction of storage areas. A Bayesian optimization algorithm was utilized to enhance parameter tuning and training efficiency, while an ensemble learning framework improved model stability. In this study, a port container dataset was used for experimentation, with root mean square error (RMSE) and mean absolute percentage error (MAPE) as evaluation metrics. Compared with the GM model, the R2 of the proposed model improved by 3.38%. Experimental results demonstrated that the ensemble learning-based prediction model offered superior performance in forecasting the storage area of prefabricated components. Full article
(This article belongs to the Special Issue Design and Analysis of Adaptive Identification and Control)
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