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21 pages, 7451 KB  
Article
Distinct Pathways of Cadmium Immobilization as Affected by Wheat Straw- and Soybean Meal-Mediated Reductive Soil Disinfestation
by Tengqi Xu, Jingyi Mei, Cui Li, Lijun Hou, Kun Wang, Risheng Xu, Xiaomeng Wei, Jingwei Zhang, Jianxiao Song, Zuoqiang Yuan, Xiaohong Tian and Yanlong Chen
Agriculture 2026, 16(2), 242; https://doi.org/10.3390/agriculture16020242 (registering DOI) - 17 Jan 2026
Abstract
Both organic matter and iron oxide (FeO) dynamics pose key roles in soil cadmium (Cd) bioavailability. However, the microbially driven transformation of soil organic matter and FeO and their linkages to Cd fractions remain unclear under reductive soil disinfestation (RSD) with different organic [...] Read more.
Both organic matter and iron oxide (FeO) dynamics pose key roles in soil cadmium (Cd) bioavailability. However, the microbially driven transformation of soil organic matter and FeO and their linkages to Cd fractions remain unclear under reductive soil disinfestation (RSD) with different organic sources, which limits our mechanistic understanding of Cd immobilization by RSD. To address this gap, we conducted a 45 day microcosm experiment using a paddy soil contaminated with 22.8 mg/kg Cd. Six treatments were established: untreated control (CK), waterlogged (WF), and RSD-amended soils with 0.7% or 2.1% wheat straw (LWD, HWD) or soybean meal (LSD, HSD). We systematically assessed soil Cd fractionation, organic carbon and FeO concentrations, and bacterial community structure, aiming to clarify differences in Cd immobilization efficiency and the underlying mechanisms between wheat straw and soybean meal. For strongly extractable Cd, wheat straw RSD reduced the soil Cd concentrations from 6.02 mg/kg to 4.32 mg/kg (28.2%), whereas soybean meal RSD achieved a maximum reduction to 2.26 mg/kg (62.5%). Additionally, the soil mobility factor of Cd decreased from 44.6% (CK) to 39.2% (HWD) and 32.5% (HSD), while the distribution index increased from 58.5% (CK) to 62.2% (HWD) and 66.8% (HSD). Notably, the HWD treatment increased soil total organic carbon, humus, and humic acid concentrations by 34.8%, 24.6%, and 28.3%, respectively. Regarding amorphous FeO, their concentrations increased by 19.1% and 33.3% relative to CK. RSD treatments significantly altered soil C/N ratios (5.91–12.5). The higher C/N ratios associated with wheat straw stimulated r-strategist bacteria (e.g., Firmicutes, Bacteroidetes), which promoted carbohydrate degradation and fermentation, thereby enhancing the accumulation of humic substances. In contrast, the lower C/N ratios of soybean meal increased dissolved organic carbon and activated iron-reducing bacteria (FeRB; e.g., Anaeromyxobacter, Clostridium), driving iron reduction and amorphous iron oxide formation. PLS-PM analysis confirmed that wheat straw RSD immobilized Cd primarily through humification, whereas soybean meal RSD relied on FeRB-mediated FeO amorphization. These findings suggest that Cd immobilization in soil under RSD may be regulated by microbially mediated organic matter transformation and iron oxide dynamics, which was affected by organic materials of different C/N ratios. Full article
(This article belongs to the Section Agricultural Soils)
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16 pages, 3887 KB  
Article
Integrative Analysis of Transcriptome and Metabolome Reveals Molecular Mechanisms Underlying Hepatic Differences Between Zaozhuang Heigai Piglets and Duroc×Landrace×Yorkshire Piglets
by Caitong Wang, Jingxuan Li, Xueyan Zhao, Yanping Wang, Xiaodong Zhu, Fuping Zhao, Chuansheng Zhang, Liying Geng and Jiying Wang
Agriculture 2026, 16(2), 241; https://doi.org/10.3390/agriculture16020241 (registering DOI) - 17 Jan 2026
Abstract
Piglets weaning is a critical developmental stage marked by significant metabolic and inflammatory challenges. The hepatic responses during this period may differ among pig breeds with distinct genetic backgrounds. To explore the phenotypic and molecular differences in the livers between the Zaozhuang Heigai [...] Read more.
Piglets weaning is a critical developmental stage marked by significant metabolic and inflammatory challenges. The hepatic responses during this period may differ among pig breeds with distinct genetic backgrounds. To explore the phenotypic and molecular differences in the livers between the Zaozhuang Heigai (HG) pig and Duroc×Landrace×Yorkshire (DLY) piglets and elucidate the regulatory mechanisms of genetic background on liver function, five 35-day-old piglets from each breed were selected. Body weight and liver coefficients were measured; histological features of liver sections were observed, and the transcriptome and metabolome of the liver were determined using mRNA sequencing and non-targeted metabolomics analysis. The results showed that HG piglets had significantly lower body weight (p < 0.01) and slightly higher liver coefficients than DLY piglets. Histological examination revealed that the hepatic lobule structure was intact in both breeds, while mild hepatic congestion was observed in some DLY piglets. Transcriptome analysis identified 429 differentially expressed genes (DEGs) with criteria of FDR adjusted p-values < 0.01 and |log2(Fold Change)| > 1, and they were significantly enriched in oxidoreductase activity, peroxisome proliferator-activated receptor (PPAR) signaling, and arachidonic acid metabolism pathways. Metabolome analysis identified 169 differentially expressed metabolites (DEMs) with criteria of p < 0.05, VIP > 1, and |log2(Fold Change)| > 1, and they were significantly enriched in nucleotide metabolism, arginine biosynthesis, and arachidonic acid metabolism pathways. Integrative analysis of DEGs and DEMs showed that arachidonic acid metabolism was the common pathway. Within this pathway, key genes (GPX3, ALOX5, and CBR3) were significantly associated with specific metabolites (15-deoxy-PGJ2 and phosphatidylcholines) (FDR adjusted p < 0.05), suggesting a gene–metabolite interaction network that coordinates inflammatory regulation and oxidative stress. These findings provide molecular evidence for breed-specific hepatic metabolic regulation during the weaning period and are therefore conducive to the management of weaned piglets and the investigation of local pig characteristics. Full article
(This article belongs to the Section Farm Animal Production)
16 pages, 6489 KB  
Article
LIF-VSR: A Lightweight Framework for Video Super-Resolution with Implicit Alignment and Attentional Fusion
by Songyi Zhang, Hailin Zhang, Xiaolin Wang, Kailei Song, Zhizhuo Han, Zhitao Zhang and Wenchi Cheng
Sensors 2026, 26(2), 637; https://doi.org/10.3390/s26020637 (registering DOI) - 17 Jan 2026
Abstract
Video super-resolution (VSR) has advanced rapidly in enhancing video quality and restoring compressed content, yet leading methods often remain too costly for real-world use. We present LIF-VSR, a lightweight, near-real-time framework built with an efficiency-first philosophy, comprising economical temporal propagation, a new neighboring-frame [...] Read more.
Video super-resolution (VSR) has advanced rapidly in enhancing video quality and restoring compressed content, yet leading methods often remain too costly for real-world use. We present LIF-VSR, a lightweight, near-real-time framework built with an efficiency-first philosophy, comprising economical temporal propagation, a new neighboring-frame fusion strategy, and three streamlined core modules. For temporal propagation, a uni-directional recurrent architecture transfers context through a compact inter-frame memory unit, avoiding the heavy compute and memory of multi-frame parallel inputs. For fusion and alignment, we discard 3D convolutions and optical flow, instead using (i) a deformable convolution module for implicit feature-space alignment, and (ii) a sparse attention fusion module that aggregates adjacent-frame information via learned sparse key sampling points, sidestepping dense global computation. For feature enhancement, a cross-attention mechanism selectively calibrates temporal features at far lower cost than global self-attention. Across public benchmarks, LIF-VSR achieves competitive results with only 3.06 M parameters and a very low computational footprint, reaching 27.65 dB on Vid4 and 31.61 dB on SPMCs. Full article
(This article belongs to the Section Intelligent Sensors)
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16 pages, 398 KB  
Article
Psychometrics of Drawmetrics: An Expressive–Semantic Framework for Personality Assessment
by Larry R. Price
Behav. Sci. 2026, 16(1), 135; https://doi.org/10.3390/bs16010135 (registering DOI) - 17 Jan 2026
Abstract
This study examines whether Drawmetrics (DM), an expressive–semantic personality system, can be linked with the Five-Factor Model (Big Five) through an embedding-based mapping approach and network psychometric methods. A total of 185 participants completed both the DM assessment and the IPIP-NEO 120 Big [...] Read more.
This study examines whether Drawmetrics (DM), an expressive–semantic personality system, can be linked with the Five-Factor Model (Big Five) through an embedding-based mapping approach and network psychometric methods. A total of 185 participants completed both the DM assessment and the IPIP-NEO 120 Big Five inventory. DM term outputs were embedded using a miniLM sentence-transformer and aggregated into 30 facet composites, with six composites per domain. Big Five facet composites were extracted from standardized reports and harmonized to canonical facet names. Analyses focused on the overlap sample (N = 148) with valid scores on both instruments. DM composites demonstrated strong internal structure and high stability indices. Substantial semantic-space alignment was observed between DM term language and Big Five facet language, supporting interpretable linking. However, person-level correlations between DM and Big Five domains were modest (mean |r| ≈ 0.07; Spearman similar), with the largest facet-level association at |r| ≈ 0.26. DM appears to represent a coherent expressive–semantic trait space that is related to, but not isomorphic with, Big Five traits. These findings support a linking rather than equivalence interpretation and highlight the need for future research on scaling, reliability, range restriction, and criterion validation. Full article
22 pages, 8535 KB  
Article
Experimental Study and THM Coupling Analysis of Slope Instability in Seasonally Frozen Ground
by Xiangshen Chen, Chao Li, Feng Ding and Yongju Shao
GeoHazards 2026, 7(1), 13; https://doi.org/10.3390/geohazards7010013 (registering DOI) - 17 Jan 2026
Abstract
Freeze–thaw cycles (FTCs) are a prevalent weathering process that threatens the stability of canal slopes in seasonally frozen regions. This study combines direct shear tests under multiple F-T cycles with coupled thermo-hydro-mechanical numerical modeling to investigate the failure mechanisms of slopes with different [...] Read more.
Freeze–thaw cycles (FTCs) are a prevalent weathering process that threatens the stability of canal slopes in seasonally frozen regions. This study combines direct shear tests under multiple F-T cycles with coupled thermo-hydro-mechanical numerical modeling to investigate the failure mechanisms of slopes with different moisture contents (18%, 22%, 26%). The test results quantify a marked strength degradation, where the cohesion decreases to approximately 50% of its initial value and the internal friction angle is weakened by about 10% after 10 freeze–thaw cycles. The simulation reveals that temperature gradient-driven moisture migration is the core process, leading to a dynamic stress–strain concentration zone that propagates from the upper slope to the toe. The safety factors of the three soil specimens with different moisture contents fell below the critical threshold of 1.3. They registered values of 1.02, 0.99, and 0.78 within 44, 44, and 46 days, which subsequently induced shallow failure. The failure mechanism elucidated in this study enhances the understanding of freeze–thaw-induced slope instability in seasonally frozen regions. Full article
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15 pages, 3462 KB  
Article
Multiphysics Simulation for Efficient and Reliable Systems for Low-Temperature Plasma Treatment of Metals
by Nina Yankova Penkova, Boncho Edward Varhoshkov, Valery Todorov, Hristo Antchev, Kalin Krumov and Vesselin Iliev
Materials 2026, 19(2), 382; https://doi.org/10.3390/ma19020382 (registering DOI) - 17 Jan 2026
Abstract
Plasma nitriding is an advanced method to increase the hardness and wear resistance of different metal parts with complex shapes and geometries. The modelling is an appropriate approach for better understanding and improving such technologies based on multi-physical processes. Mathematical models of the [...] Read more.
Plasma nitriding is an advanced method to increase the hardness and wear resistance of different metal parts with complex shapes and geometries. The modelling is an appropriate approach for better understanding and improving such technologies based on multi-physical processes. Mathematical models of the coupled electromagnetic, fluid flow, and thermal processes in vacuum chambers for the low-temperature plasma treatment of metal parts have been developed. They were solved numerically via ANSYS/CFX software for a discretized solid and gas space of a plasma nitriding chamber. The specific electrical conductivity of the gas mixture, containing plasma, has been calibrated on the basis of an electrical model of the chamber and in situ measurements. The three-dimensional fields of pressure, temperature, velocity, turbulent characteristics, electric current density, and voltage in the chamber have been simulated and analysed. Methods for further development and application of the models and for technological and constructive enhancement of the plasma treatment technologies are discussed. Full article
(This article belongs to the Special Issue Advances in Plasma Treatment of Materials)
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16 pages, 3387 KB  
Article
Effects of Different Live-Preservation Methods on Soft-Shell Hardening and Flavor Characteristics of the Mud Crab (Scylla paramamosain)
by Ye Sun, Shengming Han and Yangfang Ye
Foods 2026, 15(2), 344; https://doi.org/10.3390/foods15020344 (registering DOI) - 17 Jan 2026
Abstract
The soft-shell mud crab (Scylla paramamosain) holds high market value, but rapid post-molting shell hardening limits its commercial viability. This study evaluated the effects of four live-preservation methods—ambient seawater (CK, 25 °C, pH 8.10), low-temperature seawater (LT, 14 °C, pH 8.10), [...] Read more.
The soft-shell mud crab (Scylla paramamosain) holds high market value, but rapid post-molting shell hardening limits its commercial viability. This study evaluated the effects of four live-preservation methods—ambient seawater (CK, 25 °C, pH 8.10), low-temperature seawater (LT, 14 °C, pH 8.10), ice-chilled storage (ICE, 2–6 °C), and low-temperature acidified seawater (LTA, 14 °C, pH 7.6)—on shell hardening and hepatopancreatic flavor in mud crabs. ICE and LTA significantly delayed hardening (p < 0.05), maintaining the hard-paper stage at 48 h post-molting, while CK and LT samples hardened considerably. Transcriptomic analysis revealed that both ICE and LTA down-regulated key genes involved in calcium signaling, autophagy, and lysosomal pathways, which may be associated with delayed shell hardening. Flavor profiling showed that ICE enhanced umami by increasing aspartate, inosine monophosphate, and adenosine monophosphate levels, and increased sweetness via elevated alanine and glycine, while reducing bitterness by lowering bitter amino acids. In contrast, LTA reduced umami and bitterness but did not improve sweetness. These findings demonstrate that ice-chilled storage effectively extends the soft-shell phase and better preserves flavor quality, offering a viable strategy for enhancing the preservation and marketability of live soft-shell crabs. Full article
(This article belongs to the Section Food Packaging and Preservation)
24 pages, 3395 KB  
Article
Bi-Objective Intraday Coordinated Optimization of a VPP’s Reliability and Cost Based on a Dual-Swarm Particle Swarm Algorithm
by Jun Zhan, Xiaojia Sun, Yang Li, Wenjing Sun, Jiamei Jiang and Yang Gao
Energies 2026, 19(2), 473; https://doi.org/10.3390/en19020473 (registering DOI) - 17 Jan 2026
Abstract
With the increasing penetration of renewable energy, power systems are facing greater uncertainty and volatility, which poses significant challenges for Virtual Power Plant scheduling. Existing research mainly focuses on optimizing economic efficiency but often overlooks system reliability and the impact of forecasting deviations [...] Read more.
With the increasing penetration of renewable energy, power systems are facing greater uncertainty and volatility, which poses significant challenges for Virtual Power Plant scheduling. Existing research mainly focuses on optimizing economic efficiency but often overlooks system reliability and the impact of forecasting deviations on scheduling, leading to suboptimal performance. Thus, this paper presents a reliability-cost bi-objective cooperative optimization model based on a dual-swarm particle swarm algorithm: it introduces positive and negative imbalance price penalty factors to explicitly describe the economic costs of forecast deviations, constructs a reliability evaluation system covering PV, EVs, air-conditioning loads, electrolytic aluminum loads, and energy storage, and solves the multi-objective model via algorithm design of “sub-swarms specializing in single objectives + periodic information exchange”. Simulation results show that the method ensures stable intraday operation of VPPs, achieving 6.8% total cost reduction, 12.5% system reliability improvement, and 14.8% power deviation reduction, verifying its practical value and application prospects. Full article
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26 pages, 8018 KB  
Article
Failure Mechanism and Rib-Roof Synergistic Support Technology for Bottom-Driven Roadways in Deep Thick Coal Seams
by Yanghao Peng, Hanze Jiang, Zhenjie Peng, Qiang Fu, Changjiang Li and Jianlin Zhou
Appl. Sci. 2026, 16(2), 970; https://doi.org/10.3390/app16020970 (registering DOI) - 17 Jan 2026
Abstract
Roadways driven along the floor of thick coal seams, while retaining the top coal, form “thick coal seam floor roadways.” These large-section roadways feature a composite coal-rock roof and weak coal ribs, leading to low overall strength and poor stability of the surrounding [...] Read more.
Roadways driven along the floor of thick coal seams, while retaining the top coal, form “thick coal seam floor roadways.” These large-section roadways feature a composite coal-rock roof and weak coal ribs, leading to low overall strength and poor stability of the surrounding rock. Significant deformation and “necking” often occur, accompanied by roof falls and rib spalling, which are exacerbated under high stress or adverse geology, threatening mine safety and production. In this study, the 2201 haulage gateway in Yingpanhao Coal Mine is investigated to address surrounding rock control in such deep roadways. Using field investigation, theoretical analysis, numerical simulation, and similar simulation tests, the failure mechanisms of ribs and roofs are analyzed. Rib failure is characterized by tensile fracture in the shallow zone, splitting failure in the medium-depth zone, and incomplete conjugate shear in the deep zone. Corresponding mechanical models are established, and a method for calculating total rib failure depth—combining tensile/splitting and shear failure depths—is proposed, along with a bolt length design formula. Based on this, a synergistic roof-and-rib support technology is developed. The failure mechanism and optimal support scheme are validated through simulation tests and successfully applied in the field, demonstrating satisfactory performance. The findings provide a valuable reference for support design in similar mining roadways. Full article
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10 pages, 2841 KB  
Article
The Impact of Cloudy Weather on the Calculation Accuracy of the Soiling Loss Ratio in Photovoltaic Systems
by Xihua Cao, Zipeng Tang, Xiaoshi Xu, Bo Kuang, Wenzhen Zou, Xuanshuo Shangguan, Honglu Zhu and Jifeng Song
Energies 2026, 19(2), 471; https://doi.org/10.3390/en19020471 (registering DOI) - 17 Jan 2026
Abstract
Accurate calculation of the soiling loss ratio (SLR) is essential for photovoltaic power prediction and cleaning optimization. While theoretical power-based methods perform reliably under stable, clear-sky conditions, their accuracy in fluctuating, cloudy weather remains uncertain. This study evaluates the impact of [...] Read more.
Accurate calculation of the soiling loss ratio (SLR) is essential for photovoltaic power prediction and cleaning optimization. While theoretical power-based methods perform reliably under stable, clear-sky conditions, their accuracy in fluctuating, cloudy weather remains uncertain. This study evaluates the impact of cloudy conditions on SLR calculation through a 20-day comparative experiment using a 10 kW PV system. The power difference between cleaned and soiled arrays defined the benchmark soiling loss ratio (SLRbm), against which theoretical power-derived soiling loss ratio (SLRtpd) was compared. Results show strong agreement between SLRtpd and SLRbm under sunny days but significant fluctuations (mean daily dispersion ratio: 17.8) and frequent anomalous negative values under cloudy conditions. These findings indicate that rapid irradiance changes and MPPT lag in cloudy weather amplify inherent model errors, highlighting the need for revised models adapted to complex meteorological conditions. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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23 pages, 1765 KB  
Article
Towards a Comprehensive Understanding of Microplastics and Antifouling Paint Particles from Ship-Hull Derusting Wastewater and Their Emissions into the Marine Environment
by Can Zhang, Yufan Chen, Wenbin Zhao, Jianhua Zhou and Deli Wu
J. Mar. Sci. Eng. 2026, 14(2), 195; https://doi.org/10.3390/jmse14020195 (registering DOI) - 17 Jan 2026
Abstract
Microplastics (MPs) and Antifouling Paint Particles (APPs) are pervasive anthropogenic pollutants that threaten global ecosystems, with distinct yet overlapping environmental behaviors and toxic impacts. MPs disperse widely in aquatic systems via runoff and wastewater; their toxicity stems from physical, chemical, and synergistic effects. [...] Read more.
Microplastics (MPs) and Antifouling Paint Particles (APPs) are pervasive anthropogenic pollutants that threaten global ecosystems, with distinct yet overlapping environmental behaviors and toxic impacts. MPs disperse widely in aquatic systems via runoff and wastewater; their toxicity stems from physical, chemical, and synergistic effects. APPs are concentrated in coastal zones, estuaries, and shipyard areas, and are acutely toxic due to their high metal and biocide content. This study systematically characterized the composition, concentration, and size distribution of common MPs and APPs in ship-hull derusting wastewater produced by ultra-high-pressure water jetting, using pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) coupled with particle size analysis. The wastewater exhibited a total suspended solids (TSS) concentration of 20.04 g·L−1, within which six types of MPs were identified at 3.29 mg·L−1 in total and APPs were quantified at 330.25 mg·L−1, representing 1.65% of TSS. The residual fraction primarily consisted of algae, biological debris, and inorganic particles. Particle size distribution ranged from 3.55 to 111.47 μm, with a median size (D50) of 31 μm, while APPs were mainly 5–100 μm, with 81.4% < 50 μm. Extrapolation to the annual treated ship-hull surface area in 2024 indicated the generation of ~57,440 m3 wastewater containing ~0.2 tons of MPs and ~19 tons of APPs. These findings highlight the magnitude of pollutant release from ship maintenance activities and underscore the urgent need for targeted treatment technologies and regulatory policies to mitigate microplastic pollution in marine environments. Full article
(This article belongs to the Section Marine Hazards)
16 pages, 1902 KB  
Article
Coordinated Control of Standalone Brushless Doubly-Fed Induction Generator for Load Disturbance Suppression in Microgrid
by Wei Luo, Yan Le, Minglei Xie, Yi Liu and Dayi Li
Energies 2026, 19(2), 464; https://doi.org/10.3390/en19020464 (registering DOI) - 17 Jan 2026
Abstract
The anti-load-disturbance capability is one of the most important capabilities in a microgrid. In comparison with the grid-connected brushless doubly-fed induction generator (BDFIG), the output voltage of the standalone BDFIG in a microgrid is more susceptible to load disturbances. In order to address [...] Read more.
The anti-load-disturbance capability is one of the most important capabilities in a microgrid. In comparison with the grid-connected brushless doubly-fed induction generator (BDFIG), the output voltage of the standalone BDFIG in a microgrid is more susceptible to load disturbances. In order to address this issue, this paper presents a coordinated control method based on both the machine side converter (MSC) and line side converter (LSC) to reduce the amplitude of power winding (PW) voltage fluctuation and shorten transient response time, so as to significantly reduce the influence of the load disturbance on the output voltage under the limited power converter capacity. The proposed control strategy is validated through experiments conducted on a 3 kW wound-rotor BDFIG. Full article
16 pages, 1551 KB  
Article
Host Response of Winter Wheat to the Causal Agents of Eyespot and Fungicide Resistance of the Pathogens
by Jana Palicová, Pavel Matušinsky, Simona Čejková, Alena Hanzalová, Veronika Dumalasová, Taťána Militká, Dominik Bleša and Jana Chrpová
Plants 2026, 15(2), 285; https://doi.org/10.3390/plants15020285 (registering DOI) - 17 Jan 2026
Abstract
Eyespot is one of the most important fungal diseases of wheat in the Czech Republic. As part of a long-term study (2015–2024), the occurrence, population structure, and pathogenic variability of Oculimacula yallundae and Oculimacula acuformis were investigated. In total, 356 O. yallundae, [...] Read more.
Eyespot is one of the most important fungal diseases of wheat in the Czech Republic. As part of a long-term study (2015–2024), the occurrence, population structure, and pathogenic variability of Oculimacula yallundae and Oculimacula acuformis were investigated. In total, 356 O. yallundae, 24 O. acuformis, and 33 mixed cultures were collected and identified using PCR. The study also included small-plot inoculation trials (2022–2023) to assess the response of widely grown winter wheat cultivars. Disease severity was evaluated visually, pathogen DNA was quantified using qPCR, and the presence of the resistance gene Pch1 was determined with the STS marker Xorw1. In addition to these analyses, monitoring of fungicide resistance to two commonly used fungicides (fluxapyroxad and prothioconazole) was performed. The results showed significant differences among cultivars and seasons. Genotypes carrying Pch1—including Annie, Campesino, Illusion, KWS Donovan, LG Absalon, and Pallas—exhibited the lowest levels of infection, whereas Mercedes and Dagmar were the most susceptible. The qPCR reliably detected and distinguished both pathogens, with O. yallundae occurring at higher concentrations. Fungicide sensitivity testing revealed EC50 values (mean ± SD) of 0.09 ± 0.13 μg·mL−1 for fluxapyroxad and 0.30 ± 0.22 μg·mL−1 for prothioconazole, indicating that eyespot pathogens remain largely sensitive, with only minor signs of reduced sensitivity. Full article
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22 pages, 2589 KB  
Article
Optimal Bidding Strategy of Virtual Power Plant Incorporating Vehicle-to-Grid Electric Vehicles
by Honghui Zhang, Dejie Zhao, Hao Pan and Limin Jia
Energies 2026, 19(2), 465; https://doi.org/10.3390/en19020465 (registering DOI) - 17 Jan 2026
Abstract
With the increasing penetration of renewable energy and electric vehicles (EVs), virtual power plants (VPPs) have become a key mechanism for coordinating distributed energy resources and flexible loads to participate in electricity markets. However, the uncertainties of renewable generation and EV user behavior [...] Read more.
With the increasing penetration of renewable energy and electric vehicles (EVs), virtual power plants (VPPs) have become a key mechanism for coordinating distributed energy resources and flexible loads to participate in electricity markets. However, the uncertainties of renewable generation and EV user behavior pose significant challenges to bidding strategies and real-time execution. This study proposes a two-stage optimal bidding strategy for VPPs by integrating vehicle-to-grid (V2G) technology. An aggregated EV schedulable-capacity model is established to characterize the time-varying charging and discharging capability boundaries of the EV fleet. A unified day-ahead and real-time optimization framework is further developed to ensure coordinated bidding and scheduling. Case studies on a modified IEEE-33 bus system demonstrate that the proposed strategy significantly enhances renewable energy utilization and market revenues, validating the effectiveness of coordinated V2G operation and multi-type flexible load control. Full article
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23 pages, 5602 KB  
Article
Effects of Soil Structure Degradation and Rainfall Patterns on Red Clay Slope Stability: Insights from a Combined Field-Laboratory-Numerical Study in Yunnan Province
by Jianbo Xu, Shibing Huang, Jiawei Zhai, Yanzi Sun, Hao Li, Jianjun Song, Ping Jiang and Yi Luo
Buildings 2026, 16(2), 389; https://doi.org/10.3390/buildings16020389 (registering DOI) - 17 Jan 2026
Abstract
Rainfall-induced failures in red clay slopes are common, yet the coupled influence of soil structure degradation and rainfall temporal patterns on slope hydromechanical behavior remains poorly understood. This study advances the understanding by investigating a cut slope failure in Yunnan through integrated field [...] Read more.
Rainfall-induced failures in red clay slopes are common, yet the coupled influence of soil structure degradation and rainfall temporal patterns on slope hydromechanical behavior remains poorly understood. This study advances the understanding by investigating a cut slope failure in Yunnan through integrated field monitoring, laboratory testing, and numerical modeling. Key advancements include: (1) elucidating the coupled effect of structure degradation on both shear strength reduction and hydraulic conductivity alteration; (2) systematically quantifying the impact of rainfall temporal patterns beyond total rainfall; and (3) providing a mechanistic explanation for the critical role of early-peak rainfall. Mechanical and hydrological parameters were obtained from intact and remolded samples, with soil-water retention estimated via pedotransfer functions. A hydro-mechanical finite element model of the slope was constructed and calibrated using recorded rainfall, displacement data and failure surface. Six simulation scenarios were designed by combining three strength conditions (intact at natural water content, intact at saturation, remolded at natural water content) with two hydraulic conductivity values (intact vs. remolded). Additionally, four synthetic rainfall patterns, including uniform, peak-increasing, peak-decaying and bell-shaped rainfall, were simulated to evaluate their influence on pore water pressure development and slope stability. Results show remolding reduced hydraulic conductivity 4.7-fold, slowing wetting front advance and increasing shallow pore water pressure. Intact soil facilitated deeper drainage, elevating pressure near the soil-rock interface. Strength reduction induced by structure degradation (water saturating and remolding) enlarged the slope deformation zone by 1.5 times under same hydraulic conductivity. Simulations using saturated intact strength best matched field observations. The results from this specific slope indicate that strength parameters primarily control stability, while permeability affects deformation depth. Simulations considering different rainfall patterns indicate that slope stability depends more critically on the temporal distribution of rainfall intensity than on the total amount. Overall, peak-decaying rainfall led to the most rapid rise in pore water pressure, earliest instability and lowest failure rainfall threshold, whereas peak-increasing rainfall showed the opposite trends. Our findings outline a practical framework for assessing red clay slope stability during rainfall. This framework recommends using saturated intact strength parameters in stability analysis. It highlights the important influence of rainfall temporal patterns, especially those with an early peak, on failure timing and rainfall threshold. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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