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26 pages, 9095 KB

Open AccessArticle

Spatiotemporal Dynamics and Drivers of Potential Winter Ice Resources in China (1990–2020) Using Multi-Source Remote Sensing and Machine Learning

by Donghui Shi

Remote Sens. 2026, 18(2), 250; https://doi.org/10.3390/rs18020250 (registering DOI) - 13 Jan 2026

Abstract

River and lake ice are sensitive indicators of climate change and important components of hydrological and ecological systems in cold regions. In this study, we develop a simple and transferable “surface water + land surface temperature (LST)” framework on Google Earth Engine to [...] Read more.

River and lake ice are sensitive indicators of climate change and important components of hydrological and ecological systems in cold regions. In this study, we develop a simple and transferable “surface water + land surface temperature (LST)” framework on Google Earth Engine to map potential winter ice area across China from 1990 to 2020. The framework enables consistent, large-scale, long-term monitoring without relying on complex remote sensing models or region-specific thresholds. Our results show that, despite a pronounced northwestward shift in the freezing-zone boundary, more than 400 km in the Northeast Plain and about 13 km per year along the eastern coast, the total ice-covered area increased by approximately 1.1% per year. At the same time, the average ice season became slightly shorter. This indicates asynchronous spatial and temporal responses of potential winter ice to warming. We identify a persistent “Northwest–Northeast dual-core” spatial pattern with strong positive spatial autocorrelation, characterized by increasing ice cover in Tibet, Qinghai, Xinjiang, Inner Mongolia, and Northeast China, and decreasing ice cover mainly in Beijing and Yunnan, where intense urbanization and low-latitude warming dominate. Random Forest modeling further shows that water area fraction, nighttime lights, built-up area, altitude, and water–heat indices are the main controls on potential winter ice. These findings highlight the combined influence of hydrological and thermal conditions and urbanization in reshaping potential winter ice patterns under climate change. Full article

(This article belongs to the Special Issue Remote Sensing of River and Lake Ice/Water Using Spaceborne, Airborne, and Ground Platforms)

24 pages, 3434 KB

Open AccessArticle

Hierarchical Route Planning Framework and MMDQN Agent-Based Intelligent Obstacle Avoidance for UAVs

by Boyu Dong, Yuzhen Zhang, Peiyuan Yuan, Shuntong Lu, Tao Huang and Gong Zhang

Drones 2026, 10(1), 57; https://doi.org/10.3390/drones10010057 (registering DOI) - 13 Jan 2026

Abstract

Efficient route planning technology is the core support for ensuring the successful execution of unmanned aerial vehicle (UAV) flight missions. In this paper, the coordination issue of global route planning and local real-time obstacle avoidance in complex mountainous environments is studied. To deal [...] Read more.

Efficient route planning technology is the core support for ensuring the successful execution of unmanned aerial vehicle (UAV) flight missions. In this paper, the coordination issue of global route planning and local real-time obstacle avoidance in complex mountainous environments is studied. To deal with this issue, a hierarchical route planning framework is designed, including global route planning and AI-based local route re-planning using deep reinforcement learning, exhibiting both flexible versatility and practical coordination and deployment efficiency. Throughout the entire flight, the local route re-planning task triggered by dynamic threats can be executed in real time. Meanwhile, a multi-model DQN (MMDQN) agent with a Monte Carlo traversal iterative learning (MCTIL) strategy is designed for local route re-planning. Compared to existing methods, this agent can be directly used to generate local obstacle avoidance routes in various scenarios at any time during the flight, which simplifies the complicated structure and training process of conventional deep reinforcement learning (DRL) agents in dynamic, complex environments. Using the framework structure and MMDQN agent for local route re-planning ensures the safety and efficiency of the mission, as well as local obstacle avoidance during global flights. These performances are verified through simulations based on actual terrain data. Full article

(This article belongs to the Special Issue Advances in AI Large Models for Unmanned Aerial Vehicles)

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29 pages, 2156 KB

Open AccessArticle

Electro-Actuated Customizable Stacked Fin Ray Gripper for Adaptive Object Handling

by Ratchatin Chancharoen, Kantawatchr Chaiprabha, Worathris Chungsangsatiporn, Pimolkan Piankitrungreang, Supatpromrungsee Saetia, Tanarawin Viravan and Gridsada Phanomchoeng

Actuators 2026, 15(1), 52; https://doi.org/10.3390/act15010052 (registering DOI) - 13 Jan 2026

Abstract

Soft robotic grippers provide compliant and adaptive manipulation, but most existing designs address actuation speed, adaptability, modularity, or sensing individually rather than in combination. This paper presents an electro-actuated customizable stacked Fin Ray gripper that integrates these capabilities within a single design. The [...] Read more.

Soft robotic grippers provide compliant and adaptive manipulation, but most existing designs address actuation speed, adaptability, modularity, or sensing individually rather than in combination. This paper presents an electro-actuated customizable stacked Fin Ray gripper that integrates these capabilities within a single design. The gripper employs a compact solenoid for fast grasping, multiple vertically stacked Fin Ray segments for improved 3D conformity, and interchangeable silicone or TPU fins that can be tuned for task-specific stiffness and geometry. In addition, a light-guided, vision-based sensing approach is introduced to capture deformation without embedded sensors. Experimental studies—including free-fall object capture and optical shape sensing—demonstrate rapid solenoid-driven actuation, adaptive grasping behavior, and clear visual detectability of fin deformation. Complementary simulations using Cosserat-rod modeling and bond-graph analysis characterize the deformation mechanics and force response. Overall, the proposed gripper provides a practical soft-robotic solution that combines speed, adaptability, modular construction, and straightforward sensing for diverse object-handling scenarios. Full article

(This article belongs to the Special Issue Soft Actuators and Robotics—2nd Edition)

22 pages, 1251 KB

Open AccessArticle

Assessment of Woody Species Diversity and Ecosystem Services in Restored Manzonzi Forest Landscape, Democratic Republic of the Congo

by Jean-Paul M. Tasi, Jean-Maron Maloti Ma Songo, Jean Semeki Ngabinzeke, Didier Bazile, Bocar Samba Ba, Jean-François Bissonnette and Damase P. Khasa

Conservation 2026, 6(1), 11; https://doi.org/10.3390/conservation6010011 (registering DOI) - 13 Jan 2026

Abstract

Forests are important biodiversity reservoirs and require sustainable management to prevent deforestation and forest degradation. Forest landscape restoration (FLR) has been proposed as a sustainable initiative aimed at restoring ecosystem functions and improving the well-being of surrounding populations. In 2005, the World Wildlife [...] Read more.

Forests are important biodiversity reservoirs and require sustainable management to prevent deforestation and forest degradation. Forest landscape restoration (FLR) has been proposed as a sustainable initiative aimed at restoring ecosystem functions and improving the well-being of surrounding populations. In 2005, the World Wildlife Fund (WWF) initiated a project to protect 200 ha of savanna in Manzonzi landscape, Democratic Republic of Congo, on the outskirts of the Luki Biosphere Reserve. The biodiversity changes related to this ecological restoration project remain unpublished. To address this knowledge gap, floristic inventories of the protected Manzonzi landscape were carried out over a 12-year period and we assessed how changes in the floral composition of this landscape evolved and affected the provision of ecosystem services (ES). We found that protection of the savanna by banning recurring bush fires and fencing off the area promoted the richness and abundance of forest species, such as Xylopia aethiopica (Dunal) A. Rich, Albizia adianthifolia (Schumach.) W. Wight. These forest taxa replaced grassland species, such as Hymenocardia acida Tul. and Maprounea africana Müll. Arg., and served to benefit the local population, who use these forest taxa as food, fuelwood, and medicines. This study revealed that protected savanna improved woody biomass, plant diversity (richness/abundance), and carbon storage, significantly boosting essential ES for communities; yet these positive trends reversed when active monitoring ceased. Protecting savannas improves the environment and benefits communities, but stopping protection efforts can undo these gains, emphasizing the need for ongoing conservation. Full article

29 pages, 1590 KB

Open AccessArticle

Structural Characterization and Anti-Inflammatory Properties of an Alginate Extracted from the Brown Seaweed Ericaria amentacea

by Maha Moussa, Serena Mirata, Lisa Moni, Valentina Asnaghi, Marina Alloisio, Simone Pettineo, Maila Castellano, Silvia Vicini, Mariachiara Chiantore and Sonia Scarfì

Mar. Drugs 2026, 24(1), 41; https://doi.org/10.3390/md24010041 (registering DOI) - 13 Jan 2026

Abstract

Brown algae of the Cystoseira genus are recognized as valuable sources of bioactive compounds, including polysaccharides. Within the framework of current restoration efforts regarding damaged Ericaria amentacea populations in the Mediterranean Sea, the valorization of apices derived from ex situ cultivation waste represents [...] Read more.

Brown algae of the Cystoseira genus are recognized as valuable sources of bioactive compounds, including polysaccharides. Within the framework of current restoration efforts regarding damaged Ericaria amentacea populations in the Mediterranean Sea, the valorization of apices derived from ex situ cultivation waste represents a sustainable opportunity for industrial and biomedical applications. In this study, sodium alginate (SA) was extracted from E. amentacea apex by-products using a hydrothermal–alkaline method and subsequently chemically characterized. FTIR analysis showed O-H, C-H, and COO- stretching compatible with commercial alginates, while 1H-NMR spectroscopy indicated high β-D-mannuronic acid content, with an M/G ratio of 2.33. The extracted SA displayed a molecular weight of 1 × 10⁴ g/mol and a polydispersity index of 3.5. The bioactive properties of the SA extract were investigated in chemico and in vitro. SA exhibited remarkable antioxidant activity, showing significant DPPH and nitric oxide-radical-scavenging capacity. Furthermore, SA demonstrated a strong anti-inflammatory effect in LPS-stimulated macrophages through modulation of several inflammatory mediators (i.e., IL-6, IL-8/CXCL5, MCP-1, and TNF-α). In particular, SA promoted a striking iNOS gene expression inhibition, which, paired with its direct NO-scavenging ability, paves the way for future pharmacological use of E. amentacea derivatives, particularly if sustainably obtained from restoration activity waste. Full article

(This article belongs to the Special Issue The Extraction and Application of Functional Components in Algae)

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14 pages, 2988 KB

Open AccessArticle

Region-Specific Lipid Alterations Around the 28-Year Transition as Early Indicators of Skin Aging

by Meiting Yi, Qian Jiao, Jianbiao He, Huiliang Li, Yangyang Fang, Youjie He, Huaming He and Yan Jia

Metabolites 2026, 16(1), 73; https://doi.org/10.3390/metabo16010073 (registering DOI) - 13 Jan 2026

Abstract

Background: Early molecular changes on the facial skin surface during early adulthood remain insufficiently characterized. We integrated biophysical readouts with untargeted skin surface lipid (SSL) profiling to identify region-dependent, age-associated features in women with combination skin. Methods: Eighty healthy Chinese women [...] Read more.

Background: Early molecular changes on the facial skin surface during early adulthood remain insufficiently characterized. We integrated biophysical readouts with untargeted skin surface lipid (SSL) profiling to identify region-dependent, age-associated features in women with combination skin. Methods: Eighty healthy Chinese women were stratified into 22–28 years (n = 40) and 29–35 years (n = 40). Sebum was measured on the cheek and forehead; cheek elasticity, hydration (CM), transepidermal water loss (TEWL), pH, and tone indices were assessed under standardized conditions. SSLs from both regions were profiled by UPLC–QTOF–MS. Differential features were prioritized using OPLS-DA (VIP > 1) with univariate screening (p < 0.05; fold change > 2 or <0.5). Results: TEWL, CM, and pH were comparable between age groups, whereas the older group showed lower cheek elasticity and reduced sebum. Lipidomics revealed clearer remodeling on the cheek than the forehead: 30 and 59 differential SSL features were identified in the cheek and forehead, respectively. Cheek changes in the older group were characterized by lower ceramides (including acylceramides), TG/DG and long-chain fatty acids, alongside relatively higher cholesteryl esters. Conclusions: Conventional barrier indices remained largely stable across this age window, while cheek SSL profiles captured earlier molecular shifts, providing candidates for targeted validation and longitudinal follow-up. Full article

(This article belongs to the Special Issue The Role of Lipid Metabolism in Health and Disease)

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10 pages, 648 KB

Open AccessCommunication

How Dairy Cows Are Culled from Freestall-Housed Dairy Herds in Wisconsin

by Kaitlin I. Buterbaugh, Thomas B. Naze and Nigel B. Cook

Animals 2026, 16(2), 238; https://doi.org/10.3390/ani16020238 (registering DOI) - 13 Jan 2026

Abstract

Efforts to improve efficiency and profitability on dairy farms have renewed focus on how culling practices affect herd sustainability and economic outcomes. This study surveyed decision-makers on 60 high-producing, freestall-housed dairy farms in Wisconsin, with a mean (SD) turnover rate of 36.0 (8.0)%. [...] Read more.

Efforts to improve efficiency and profitability on dairy farms have renewed focus on how culling practices affect herd sustainability and economic outcomes. This study surveyed decision-makers on 60 high-producing, freestall-housed dairy farms in Wisconsin, with a mean (SD) turnover rate of 36.0 (8.0)%. Using a structured questionnaire, we examined herd management, culling criteria, and motivations. Most farms (93%) used on-farm management systems to guide culling, yet only 48% used designated reports, relying instead on individual cow records. Milk production, infertility, and somatic cell count were the top culling criteria, with high milk yield cited as the most difficult factor in removal decisions. While 54% recorded the most obvious reason for culling, only 7% documented multiple causes. Cull cows were typically transported by third parties; 80% farms sent cows directly to slaughter, while 52% sent them to auction. One-third of farms sold cows for continued dairy use. Euthanasia was performed on 93% of farms, mostly by employees, with minimal veterinary input. The study aimed to investigate producer perspectives on the culling decision-making process on commercial dairy farms. The findings highlight opportunities for improved veterinary involvement and the use of structured herd-level reports to support more strategic culling decisions. Full article

(This article belongs to the Section Animal System and Management)

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18 pages, 1233 KB

Open AccessArticle

How Does Digital Empowerment Enhance the Effectiveness of Low-Carbon City Pilots in Reducing Pollution and Carbon Emissions?

by Hongyu He, Yu Chang and Yanzhi Zhao

Sustainability 2026, 18(2), 801; https://doi.org/10.3390/su18020801 (registering DOI) - 13 Jan 2026

Abstract

In the pursuit of high-quality economic development, addressing the challenge of high pollution and carbon emissions has become a critical issue. The rapid advancement of digital technology offers novel opportunities and tools to effectively mitigate these challenges. This study examines how digital technology [...] Read more.

In the pursuit of high-quality economic development, addressing the challenge of high pollution and carbon emissions has become a critical issue. The rapid advancement of digital technology offers novel opportunities and tools to effectively mitigate these challenges. This study examines how digital technology empowerment can enhance the effectiveness of low-carbon city pilot (LCCP) policies in mitigating high pollution and carbon emissions, thereby improving green economic efficiency (GEE), using data from 283 Chinese cities between 2006 and 2021. The method adopted is a DID framework tailored for settings with staggered treatment adoption. Our analysis focuses on the low-carbon city pilot initiative, examining its consequences and how it interacts with digital technology. The results indicate that (1) the LCCP policy significantly promotes green economic efficiency; (2) digital technology empowerment demonstrates a substantial positive moderating impact upon the policy outcome, thus considerably reinforcing low-emission pilot policies’ improvement effect on GEE; (3) there are regional variations in the policy effectiveness, with the eastern region showing the most pronounced improvement, followed by the central region, while the western region exhibits a relatively lower response. This study provides theoretical and empirical support for further integrating digital technology with low-carbon policies and advancing urban green and high-quality development. Full article

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23 pages, 11028 KB

Open AccessArticle

Preference Evaluation of Reverberation Times for Traditional Inner Mongolian Musical Instruments in Performance Spaces

by Xiaoyun Yue, Shuonan Ni, Zhongzheng Qu, Zifan Xu, Da Yang and Xiangdong Zhu

Buildings 2026, 16(2), 331; https://doi.org/10.3390/buildings16020331 (registering DOI) - 13 Jan 2026

Abstract

As unique forms of intangible cultural heritage of Inner Mongolia, traditional musical instruments from the region have undergone significant changes alongside socioeconomic development and evolving performance styles. The performance environment has transitioned from early outdoor and non-fixed venues to professional concert halls. Existing [...] Read more.

As unique forms of intangible cultural heritage of Inner Mongolia, traditional musical instruments from the region have undergone significant changes alongside socioeconomic development and evolving performance styles. The performance environment has transitioned from early outdoor and non-fixed venues to professional concert halls. Existing research has demonstrated a correlation between the acoustic quality of performance halls and their objective architectural acoustic parameters. However, no studies have been conducted in China on the acoustic parameters suitable for the performance environments of traditional Inner Mongolian musical instruments. This study determined the optimal acoustic environment for performances of traditional musical instruments, unique to Inner Mongolia, by employing computer simulations and subjective listening experiments in representative performance spaces. Participants were asked to select preferred audio samples of different reverberation times, generated by convolving the impulse responses of simulated spatial models with dry recordings of the instruments. Statistical analysis of the results revealed that the optimal reverberation times for traditional Inner Mongolian instruments are 1.2 s and 1.4 s in a theater space, and 0.9 s and 1.1 s in a rectangular space. Furthermore, under the influence of different factors, the four instruments exhibited distinct preferences for optimal reverberation values in the sampled spaces. Full article

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

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13 pages, 3745 KB

Open AccessArticle

Development and Characterization of Chitosan-TiO₂-Based Photocatalytic Membrane for Water Treatment: Applications on Methylene Blue Elimination

by Hamza En-nasri, Abdellatif Aarfane, Badreddine Hatimi, Najoua Labjar, Meryem Bensemlali, Abdoullatif Baraket, Mina Bakasse, Nadia Zine, Nicole Jaffrezic-Renault, Souad El Hajjaji and Hamid Nasrellah

Eng 2026, 7(1), 43; https://doi.org/10.3390/eng7010043 (registering DOI) - 13 Jan 2026

Abstract

Photocatalytic membrane reactors (PMRs) are an innovative technology for water treatment, effectively combining membrane filtration and photocatalysis to enhance contaminant removal while enabling the regeneration of fouled membranes. In this study, a new porous film of chitosan that was impregnated with TiO₂ [...] Read more.

Photocatalytic membrane reactors (PMRs) are an innovative technology for water treatment, effectively combining membrane filtration and photocatalysis to enhance contaminant removal while enabling the regeneration of fouled membranes. In this study, a new porous film of chitosan that was impregnated with TiO₂ was developed and coated onto a ceramic support by spin coating to form a new porous immobilized PMR. The formed membrane was tested for two reasons: the removal of methylene blue dye by a dead-end filtration process and to demonstrate its ability to self-regenerate under UV exposure. The selective layer of the membrane was characterized using FTIR spectroscopy, X-ray diffraction, scanning electron microscopy (SEM), and water permeability tests. The results confirmed the formation of an amorphous film with no chemical interaction between chitosan and TiO₂. The membrane exhibited an average water permeability of 10.72 L/m²·h·bar, classifying it as either ultrafiltration (UF) or nanofiltration (NF). Dead-end filtration of methylene blue (10 mg L⁻¹) achieved 99% dye removal based on UV–vis analysis of the permeate, while flux declined rapidly due to fouling. Subsequent UV irradiation removed the deposited dye layer and restored approximately 50% of the initial flux, indicating partial self-regeneration. Overall, spin-coated chitosan–TiO₂ layers on ceramic supports provide high dye removal and photocatalytically assisted flux recovery, and further work should quantify photocatalytic degradation during regeneration. Full article

(This article belongs to the Section Chemical, Civil and Environmental Engineering)

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16 pages, 2197 KB

Open AccessArticle

Machine Learning and Operator-Based Nonlinear Internal Model Control Design for Soft Robotic Finger Using Robust Right Coprime Factorization

by Zizhen An and Mingcong Deng

Appl. Sci. 2026, 16(2), 808; https://doi.org/10.3390/app16020808 (registering DOI) - 13 Jan 2026

Abstract

Currently, machine learning (ML) methods provide a practical approach to model complex systems. Unlike purely analytical models, ML methods can describe the uncertainties (e.g., hysteresis, temperature effects) that are difficult to deal with, potentially yielding higher-precision dynamics by a learning plant given a [...] Read more.

Currently, machine learning (ML) methods provide a practical approach to model complex systems. Unlike purely analytical models, ML methods can describe the uncertainties (e.g., hysteresis, temperature effects) that are difficult to deal with, potentially yielding higher-precision dynamics by a learning plant given a high-volume dataset. However, employing learning plants that lack explicit mathematical representations in real-time control remains challenging, namely, the model can be conversely looked at as a mapping from input data to output, and it is difficult to represent the corresponding time relationships in real applications. Hence, an ML and operator-based nonlinear control design is proposed in this paper. In this new framework, the bounded input/output spaces of the learning plant are addressed rather than mathematical dynamic formulation, which is realized by robust right coprime factorization (RRCF). While the stabilized learning plant is explored by RRCF, the desired tracking performance is also considered by an operator-based nonlinear internal model control (IMC) design. Eventually, practical application on a soft robotic finger system is conducted, which indicates the better performance of using the controlled learning plant and the feasibility of the proposed framework. Full article

(This article belongs to the Special Issue New Topics on System Learning and Control and Its Applications)

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15 pages, 529 KB

Open AccessArticle

Performance Modifications Following 8 Weeks of Strength and Strength–Power Resistance Training in Adolescent Track and Field Athletes

by Aikaterini Delere, Nikolaos Zaras, Spyridon Methenitis, Angeliki Kavvoura, Panagiotis F. Foteinakis, Alexandra Avloniti, Marios Hadjicharalambous, Ilias Smilios and Athanasios Chatzinikolaou

Appl. Sci. 2026, 16(2), 812; https://doi.org/10.3390/app16020812 (registering DOI) - 13 Jan 2026

Abstract

Background: Strength and the strength–power continuum may increase athletic performance, although data are scarce regarding the effects of long-term periodized training on the athletic performance of adolescent track and field athletes. The purpose of this study was to investigate performance modifications following 8 [...] Read more.

Background: Strength and the strength–power continuum may increase athletic performance, although data are scarce regarding the effects of long-term periodized training on the athletic performance of adolescent track and field athletes. The purpose of this study was to investigate performance modifications following 8 weeks of strength and strength–power resistance training, focusing on the athletic performance of adolescent track and field athletes. Methods: Following an equivalent single-arm pre–post intervention design, 16 adolescent athletes (age: 16.3 ± 0.5 years; mass: 56.5 ± 10.4 kg; height: 1.67 ± 0.07 m) participated in the study. Athletes followed an 8-week periodized resistance training program aiming to increase strength and strength–power. Measurements were performed before (T1), at the middle (T2) and at the end of the training period (T3) and included the standing long jump, single-leg standing long jump, five-step long jump, seated medicine ball throw, 0–80 m sprint and 1RM in the bench press and parallel squat. Results: The standing long jump (F_(2,14) = 109.564; η² = 0.940; p = 0.001), single-leg long jump (F_(2,14) > 41.801; η² = 0.857; p = 0.001) and five-step long jump (F_(2,14) = 148.564; η² = 0.955; p = 0.001) improved significantly from T1 to T2 (p < 0.001) and from T2 to T3 (p < 0.001). The seated medicine ball throw (F_(2,14) = 124.305; η² = 0.947; p = 0.001) and sprinting performance (F_(2,14) = 51.581; η² = 0.828; p = 0.001) were significantly enhanced from T1 to T2 (p < 0.001) and from T2 to T3 (p < 0.001). The 1RM in the bench press (F_(2,14) = 36.280; η² = 0.838, p = 0.001) and in the parallel squat (F_(2,14) = 48.165; η² = 0.873, p = 0.001) increased significantly from T1 to T2 (p < 0.001) and from T2 to T3 (p < 0.01). Conclusions: Strength and the strength–power continuum appear to have a positive effect on the physical fitness of adolescent track and field athletes, which highlights the importance of strength-based resistance training programs in adolescent athletes. Full article

(This article belongs to the Special Issue Resistance Training: Acute Responses, Short and Long-Term Adaptations in Athletic Performance and Health)

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28 pages, 2998 KB

Open AccessArticle

Transcriptomic Insights into Metabolic Reprogramming and Exopolysaccharide Synthesis in Porphyridium purpureum Under Gradual Nitrogen Deprivation

by Maurean Guerreiro, Coline Emmanuel, Céline Dupuits, Christine Gardarin, Said Mouzeyar, João Varela, Jane Roche and Céline Laroche

Mar. Drugs 2026, 24(1), 40; https://doi.org/10.3390/md24010040 (registering DOI) - 13 Jan 2026

Abstract

Porphyridium species are known red microalgae for producing valuable bioactive compounds such as sulfated exopolysaccharides (EPS) with diverse industrial biomedical applications due to their functional and rheological properties. Recent studies have investigated how abiotic stresses, particularly nitrogen deprivation, affect Porphyridium’s metabolic regulation [...] Read more.

Porphyridium species are known red microalgae for producing valuable bioactive compounds such as sulfated exopolysaccharides (EPS) with diverse industrial biomedical applications due to their functional and rheological properties. Recent studies have investigated how abiotic stresses, particularly nitrogen deprivation, affect Porphyridium’s metabolic regulation and EPS production through transcriptomic analysis. Still, the mechanisms governing EPS biosynthesis and the involvement of carbohydrate-activated enzymes (CAZymes) remain poorly understood. This study investigated the progressive effects of nitrate consumption on the unicellular red alga, P. purpureum, by integrating physiological, biochemical, and transcriptomic analyses through RNA-Seq, further validated by RT-qPCR. P. purpureum displayed a gradual, phase-dependent metabolic response to progressive nitrogen stress. EPS release coincided with the decline in nitrate uptake, linking nitrogen availability to carbon redirection towards polysaccharide secretion. Transcriptomic data revealed global metabolic downregulation with targeted upregulation of stress-responsive, carbohydrate catabolic, and nucleotide–sugar synthesis pathways, including the upregulation of CAZyme families GT4, GT8, and GT77. Our results give insights into the coordinated nitrogen and carbon metabolic regulation underlying polysaccharide biosynthesis, while opening future perspectives on enzyme compartmentalization and regulatory flux distribution under nitrogen stress in P. purpureum. Full article

(This article belongs to the Special Issue Polysaccharides from Marine Environment)

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15 pages, 9483 KB

Open AccessArticle

Air Gaps Fabrication for Sub-100 nm GaN HEMTs by Novel SF₆ Plasma Etching

by Simon St-Jacques, Mariyam Salmi, Oleh Fesiienko, Erwine Pargon, Ali Soltani, Bassem Salem and Hassan Maher

Microelectronics 2026, 2(1), 1; https://doi.org/10.3390/microelectronics2010001 (registering DOI) - 13 Jan 2026

Abstract

We demonstrate the fabrication of air gaps in a PECVD SiN interlayer through lateral recess by employing two consecutive plasma etch steps on an AlN/SiN/Al₂O₃ stack. This approach enables the preservation of sub-100 nm openings in Al₂O₃ [...] Read more.

We demonstrate the fabrication of air gaps in a PECVD SiN interlayer through lateral recess by employing two consecutive plasma etch steps on an AlN/SiN/Al₂O₃ stack. This approach enables the preservation of sub-100 nm openings in Al₂O₃, offering a potential optimization for the GaN-HEMT gate stack in RF applications while retaining low gate foot dimensions. A low-power, SF₆-based plasma etch is introduced, and time-dependent etch profiles reveal the formation of a skirt-like profile. The process exhibits excellent selectivity between SiN and Al₂O₃ etch rates. Furthermore, low-power SF₆ plasma produces a small self-bias voltage, and surface fluorine contamination which can subsequently be eliminated by annealing. Full article

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18 pages, 6582 KB

Open AccessArticle

First High-Density Linkage Map and Quantitative Trait Loci for Disease Resistance in Striped Catfish Pangasianodon hypophthalmus

by Nguyen Thanh Vu, Tran Huu Phuc, Tran Thi Mai Huong and Nguyen Hong Nguyen

Int. J. Mol. Sci. 2026, 27(2), 784; https://doi.org/10.3390/ijms27020784 (registering DOI) - 13 Jan 2026

Abstract

While striped catfish (Pangasianodon hypophthalmus) is an economically important aquaculture species, its genomic resources remain limited. To date, linkage maps, QTL (quantitative trait loci) analyses, and the identification of candidate genes associated with disease resistance traits are very limited. Therefore, the [...] Read more.

While striped catfish (Pangasianodon hypophthalmus) is an economically important aquaculture species, its genomic resources remain limited. To date, linkage maps, QTL (quantitative trait loci) analyses, and the identification of candidate genes associated with disease resistance traits are very limited. Therefore, the present study aimed to construct a high-density linkage map and identify candidate genes for this species. Our analysis was conducted on a pedigree population consisting of 560 individuals (490 offspring and 70 parents for 40 families), whose genomes were analyzed using a genotyping-by-sequencing platform. After stringent filtering, 9882 high-quality SNPs were retained for linkage analysis. Linkage analysis placed 8786 markers onto 30 linkage groups (LGs), with an average density of 0.43 SNPs per cM. Recombination rates varied across the 30 linkage groups (LGs), averaging of 3.6 cM/Mb in males, 6.7 cM/Mb in females, and 5.1 cM/Mb when sex-averaged. Using the linkage map, our QTL analysis identified three significant QTLs for disease resistance to Edwardsiella ictaluri, the causative agent of Bacillary Necrosis of Pangasius (BNP). The QTLs were located on LG1, LG9 and LG29, and their peak markers explained 17.03% of the phenotypic variance. An LD-based interval of approximately ±25 kb surrounding the QTL peak was identified as the putative candidate region. However, subsequent genome-wide association analysis did not identify significant SNP effects within these regions, suggesting that the QTLs may represent polygenic or small-effect loci that are detectable only in linkage-based analyses. In summary, this study presents the first high-density SNP-based linkage map for striped catfish and reports significant QTL and associated candidate genes related to disease resistance and growth traits. These findings provide valuable insights into the genetic architecture of economically important traits in P. hypophthalmus. Nevertheless, further validation in independent populations is required before incorporating these markers into selective breeding programs. Full article

(This article belongs to the Special Issue Application of Germplasm Innovation Technology in Aquactic Genetic Breeding)

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15 pages, 6645 KB

Open AccessArticle

Multiplex Editing of OsMads26, OsBsr-d1, OsELF3-2 and OsERF922 with CRISPR/Cas9 Confers Enhanced Resistance to Pathogens and Abiotic Stresses and Boosts Grain Yield in Rice (Oryza sativa)

by Hailing Luo, Hengwei Zou, Shengli Lin, Jiali Liu, Geng Zhou, Lijun Gao, Jieyi Huang, Jiaxuan Li, Ju Gao and Chonglie Ma

Int. J. Mol. Sci. 2026, 27(2), 781; https://doi.org/10.3390/ijms27020781 (registering DOI) - 13 Jan 2026

Abstract

Rice (Oryza sativa) is one of the world’s major staple foods. However, stable rice production is constrained by various biotic and abiotic and stresses. Breeding and cultivation of rice varieties with resistance to multiple pathogens and environmental stresses is the most [...] Read more.

Rice (Oryza sativa) is one of the world’s major staple foods. However, stable rice production is constrained by various biotic and abiotic and stresses. Breeding and cultivation of rice varieties with resistance to multiple pathogens and environmental stresses is the most effective strategy to mitigate the adverse effect of pathogen attacks and abiotic stresses. Recently, researchers have focused on the exploitation of CRISPR/Cas9 technology to manipulate some negative defense-regulator genes to generate rice varieties with broad-spectrum resistance against rice pathogens. In this study, four negative regulator genes of rice blast, OsMads26, OsBsr-1, OsELF3-2 and OsERF922, were selected as CRISPR/Cas9 targets. By simultaneously knocking out all four genes via CRISPR/Cas9 technology, we created three mads26/bsr-1/elf3-2/erf922 quadruple knockout mutants. Our results demonstrated that all quadruple mutants exhibited much higher resistance not only to rice blast and bacterial blight but also to drought and salt stresses than the wildtype. Interestingly, grain yield of all three quadruple mutants was also drastically increased by 17.35% to 21.95%. Therefore, this study provides a novel strategy to rapidly improve rice varieties with broad-spectrum resistance to pathogens, elevated tolerance to abiotic stresses and enhanced yield potential. Full article

(This article belongs to the Section Molecular Biology)

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14 pages, 5887 KB

Open AccessArticle

Trisferrocenyltrithiophosphite-Copper(I) Bromide Composites for Electrochemical CO₂ Reduction

by Mikhail Khrizanforov, Ilya Bezkishko, Anastasiia Samorodnova, Ruslan Shekurov, Radis Gainullin, Kirill Kholin, Igor Yanilkin, Aidar Gubaidullin, Alexey Galushko and Vasili Miluykov

Int. J. Mol. Sci. 2026, 27(2), 789; https://doi.org/10.3390/ijms27020789 (registering DOI) - 13 Jan 2026

Abstract

Copper-based catalysts have emerged as promising materials for electrochemical carbon dioxide reduction reactions, owing to copper’s unique ability to facilitate multi-electron transfer processes and produce valuable products such as methanol and ethanol. In this study, novel trisferrocenyltrithiophosphite–copper(I) bromide composites with Cu-to-ligand molar ratios [...] Read more.

Copper-based catalysts have emerged as promising materials for electrochemical carbon dioxide reduction reactions, owing to copper’s unique ability to facilitate multi-electron transfer processes and produce valuable products such as methanol and ethanol. In this study, novel trisferrocenyltrithiophosphite–copper(I) bromide composites with Cu-to-ligand molar ratios of 1:1 and 2:1 were synthesized and evaluated for their catalytic performance. The composites were characterized by a combination of techniques, including powder X-ray diffraction (PXRD), linear sweep voltammetry (LSV), potentiostatic testing, chromatographic analysis, scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). Electrochemical measurements demonstrated significant current enhancements in the presence of CO₂, highlighting the composites’ catalytic activity. Potentiostatic tests revealed excellent stability, with only a 9% decline in current density over 5 h of electrolysis. Product analysis via gas chromatography indicated the formation of methanol for the 1:1 composite and ethanol for the 2:1 composite with Faradaic efficiencies of 5.79% and 9.26%, respectively. While absolute efficiencies remain modest due to competitive hydrogen evolution, these results demonstrate a tunable catalytic performance based on the Cu-to-ligand ratio. SEM and XPS studies further supported the formation of active catalytic centers and changes in the oxidation states of copper during CO₂ reduction. PXRD analysis confirmed the retention of structural integrity for both composites before and after catalytic testing. Full article

(This article belongs to the Special Issue Recent Advances in Electrochemical-Related Materials)

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14 pages, 966 KB

Open AccessSystematic Review

Duration of Temporary Catheter Insertion as Hemodialysis Access Before Occurrence of Complications: A Systematic Review and Meta-Analysis

by I Ketut Adi Suryana, Bendix Samarta Witarto, Andro Pramana Witarto and Artaria Tjempakasari

Kidney Dial. 2026, 6(1), 7; https://doi.org/10.3390/kidneydial6010007 (registering DOI) - 13 Jan 2026

Abstract

Introduction: Temporary non-tunneled catheters are necessary in patients with chronic kidney disease requiring acute hemodialysis care, and complications associated with these catheters, such as infection and thrombosis, represent the most important sources of morbidity. There are no studies available that suggest the optimum [...] Read more.

Introduction: Temporary non-tunneled catheters are necessary in patients with chronic kidney disease requiring acute hemodialysis care, and complications associated with these catheters, such as infection and thrombosis, represent the most important sources of morbidity. There are no studies available that suggest the optimum duration of their use before catheter exchange or removal. This study aimed to explore the duration of temporary catheter insertion before the occurrence of catheter-related infection and mechanical complications in hemodialysis patients. Methods: Systematic searches were conducted according to the PRISMA 2020 guidelines on four databases up to 1 May 2025 (PROSPERO: CRD420251069657). The study outcome was the occurrence time to catheter-related infection and mechanical complications (thrombosis, obstruction, and kinking, causing dysfunction, failure, or insufficient blood flow) in days, pooled using a single-arm meta-analysis. Mean and 95% confidence interval (CI) were used as the summary statistics. Results: Nine studies involving 1448 participants undergoing hemodialysis using temporary catheters were included. Incidence of infection ranged from 0.7 to 13.58 per 1000 catheter-days. The most common bacterium identified was Staphylococcus aureus and Pseudomonas aeruginosa. The pooled mean time to catheter-related infection from 298 catheters was 15.98 days (95% CI 10.47–21.50; I² = 97.73%). We also found that the pooled mean time to mechanical complications from 507 catheters was 6.69 days (95% CI 2.49–10.90; I² = 98.03%). Conclusion: Among patients who developed complications, the mean time from temporary catheter insertion was approximately two weeks to the occurrence of catheter-related infection and one week to mechanical complications. Our finding was consistent with the recommendation of the KDOQI guideline, which suggests limiting catheter duration to typically less than two weeks. Full article

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14 pages, 1257 KB

Open AccessArticle

Proteome-Wide Serological Profiling Reveals Broad Elevation of EBV Immunity in Idiopathic Pulmonary Fibrosis

by Yomani D. Sarathkumara, Kiara M. Knuckey, Viviana P. Lutzky, Penny L. Groves, Maxine E. Tan, Daniel C. Chambers, Carla Proietti, Denise L. Doolan and Simon H. Apte

Int. J. Mol. Sci. 2026, 27(2), 783; https://doi.org/10.3390/ijms27020783 (registering DOI) - 13 Jan 2026

Abstract

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with uncertain etiology. Chronic viral infection, including Epstein–Barr virus (EBV), has been implicated as a potential driver of repetitive epithelial injury and dysregulated repair. We sought to evaluate and define the breadth versus [...] Read more.

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with uncertain etiology. Chronic viral infection, including Epstein–Barr virus (EBV), has been implicated as a potential driver of repetitive epithelial injury and dysregulated repair. We sought to evaluate and define the breadth versus specificity of EBV-directed humoral immunity in IPF. We performed proteome-scale serological profiling using an EBV protein microarray (202 proteins) representing all proteins expressed by the EBV proteome (type I and II) on plasma samples from 32 patients with confirmed IPF (87.5% male; mean age 60.9 years) and 15 healthy disease-free controls (40% male; mean age 57.9 years). Per-sample global EBV IgG means were higher in IPF than controls (Welch p = 0.005), and the difference persisted after sex adjustment (p = 0.012). Although no single antigen met a stringent FDR significance threshold, 10 EBV antigen-specific antibody responses showed nominal elevation in IPF, with 2 remaining nominally significant after sex adjustment and 5 additional antibody responses reaching significance only in linear regression models. Overall, these results support the concept that IPF is associated with a diffuse elevation of EBV-directed humoral responses rather than antigen-specific dominance, consistent with ongoing, low-level viral reactivation. The presence of an EBV-negative subgroup within the IPF cohort underscores etiological heterogeneity within IPF. Full article

(This article belongs to the Special Issue Pulmonary Fibrosis: Molecular Mechanisms and Therapeutic Strategies)

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Graphical abstract

18 pages, 1193 KB

Open AccessArticle

Multimodal Management of Extreme Hypertriglyceridemia in a Child with Recurrent Pancreatitis: Clinical Challenges and Solutions

by Elena-Lia Spoială, Carmen Oltean, Ioana Vasiliu, Gabriela Paduraru, Diana-Claudia Danilă, Gabriela Ghiga, Maria Țugui, Lacramioara Ionela Butnariu, Elena Cojocaru and Laura Mihaela Trandafir

J. Clin. Med. 2026, 15(2), 636; https://doi.org/10.3390/jcm15020636 (registering DOI) - 13 Jan 2026

Abstract

Background: Severe hypertriglyceridemia (SHTG) in children is a rare but clinically significant disorder associated with recurrent acute pancreatitis and substantial morbidity. Early identification and prompt management are essential to prevent pancreatic and systemic complications. Methods: We report the case of an 11-year-old female [...] Read more.

Background: Severe hypertriglyceridemia (SHTG) in children is a rare but clinically significant disorder associated with recurrent acute pancreatitis and substantial morbidity. Early identification and prompt management are essential to prevent pancreatic and systemic complications. Methods: We report the case of an 11-year-old female with a history of xanthogranulomatous pancreatitis who presented with extreme hypertriglyceridemia, with fasting triglyceride levels exceeding 4000 mg/dL. Results: The patient was treated acutely with continuous intravenous aspart insulin (0.1 U/kg/hour) and adjusted 10% glucose infusion, with hourly glucose and potassium monitoring, leading to a rapid and marked reduction in triglyceride levels—55% reduction within the first 24 h, 76% at 48 h, and 82% after 96 h of treatment. No hypoglycemia or other adverse effects were observed. Nutritional management included a low–long-chain triglyceride (LCT) diet enriched with medium-chain triglycerides (MCTs) and omega-3 fatty acids, providing essential calories while minimizing chylomicron production. Over a 12-month follow-up, the patient remained asymptomatic, with sustained lipid normalization and no recurrence of pancreatitis. Conclusions: This case underscores the therapeutic value of combining pharmacologic and dietary strategies in pediatric SHTG. Evidence from pediatric and adult studies supports the role of insulin infusion for acute triglyceride lowering and MCT-based nutritional therapy for long-term control. Our findings highlight the need for early, individualized, and multidisciplinary management and emphasize the potential future role of emerging targeted therapies in addressing refractory pediatric hypertriglyceridemia. Full article

(This article belongs to the Special Issue New Updates in Pediatric Gastroenterology)

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26 pages, 6868 KB

Open AccessArticle

A Novel Human–Machine Shared Control Strategy with Adaptive Authority Allocation Considering Scenario Complexity and Driver Workload

by Lijie Liu, Anning Ni, Linjie Gao, Yutong Zhu and Yi Zhang

Actuators 2026, 15(1), 51; https://doi.org/10.3390/act15010051 (registering DOI) - 13 Jan 2026

Abstract

Human–machine shared control has been widely adopted to enhance driving performance and facilitate smooth transitions between manual and fully autonomous driving. However, existing authority allocation strategies often neglect real-time assessment of scenario complexity and driver workload. To address this gap, we leverage non-invasive [...] Read more.

Human–machine shared control has been widely adopted to enhance driving performance and facilitate smooth transitions between manual and fully autonomous driving. However, existing authority allocation strategies often neglect real-time assessment of scenario complexity and driver workload. To address this gap, we leverage non-invasive eye-tracking devices and the 3D virtual driving simulator Car Learning to Act (CARLA) to collect multimodal data—including physiological measures and vehicle dynamics—for the real-time classification of scenario complexity and cognitive workload. Feature importance is quantified using the SHAP (SHapley Additive exPlanations) values derived from Random Forest classifiers, enabling robust feature selection. Building upon a Hidden Markov Model (HMM) for workload inference and a Model Predictive Control (MPC) framework, we propose a novel human–machine shared control architecture with adaptive authority allocation. Human-in-the-loop validation experiments under both high- and low-workload conditions demonstrate that the proposed strategy significantly improves driving safety, stability, and overall performance. Notably, under high-workload scenarios, it achieves substantially greater reductions in Time to Collision (TTC) and Time to Lane Crossing (TLC) compared to low-workload conditions. Moreover, the adaptive approach yields lower controller load than alternative authority allocation methods, thereby minimizing human–machine conflict. Full article

(This article belongs to the Section Actuators for Surface Vehicles)

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19 pages, 4811 KB

Open AccessArticle

Research on Structure and Electromagnetic Properties of a Dual-Channel Coupled Radial Magnetic Field Resolver

by Hao Wang, Jundi Wang, Hong Chen and Changchao Li

Vehicles 2026, 8(1), 18; https://doi.org/10.3390/vehicles8010018 (registering DOI) - 13 Jan 2026

Abstract

This paper presents a kind of dual-channel coupled radial magnetic field resolver (DCCRMFR). The exciting winding and signal winding of this resolver adopt the structure of orthogonal phase. The number of turns and distribution of the four phase signal winding have been designed. [...] Read more.

This paper presents a kind of dual-channel coupled radial magnetic field resolver (DCCRMFR). The exciting winding and signal winding of this resolver adopt the structure of orthogonal phase. The number of turns and distribution of the four phase signal winding have been designed. The rotor has a double-wave magnetic conductive material structure. The variable reluctance mechanism between the stator and the rotor is derived by analytical method, and the feasibility of changing the coupling area for variable reluctance is obtained. The inductance of DCCRMFR was theoretically derived through the winding function method and combined with the finite element simulation method to obtain the inductance variation law and verify the correctness of the resolver design. Then simulation analysis was conducted on the output signal of DCCRMFR to extract the total harmonic distortion (THD) of the envelope of the electromotive force (EMF) output from the signal winding. Taking THD as the optimization objective, the optimized DCCRMFR simulation model is obtained by analyzing the air-gap length between the stator and the rotor and the thickness ratio of rotor. Finally, experimental measurements were conducted on a prototype model of a two pole pairs DCCRMFR, and the measurement results were compared and analyzed with simulation results to verify the correctness of the structural design and optimization of this DCCRMFR. Full article

(This article belongs to the Special Issue Next-Generation Power Electronics and Charging Technologies for Electric Vehicles)

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21 pages, 3620 KB

Open AccessArticle

Geomechanical Analysis of Hot Fluid Injection in Thermal Enhanced Oil Recovery

by Mina S. Khalaf

Energies 2026, 19(2), 386; https://doi.org/10.3390/en19020386 (registering DOI) - 13 Jan 2026

Abstract

Hot-fluid injection in thermal-enhanced oil recovery (thermal-EOR, TEOR) imposes temperature-driven volumetric strains that can substantially alter in situ stresses, fracture geometry, and wellbore/reservoir integrity, yet existing TEOR modeling has not fully captured coupled thermo-poroelastic (thermo-hydro-mechanical) effects on fracture aperture, fracture-tip behavior, and stress [...] Read more.

Hot-fluid injection in thermal-enhanced oil recovery (thermal-EOR, TEOR) imposes temperature-driven volumetric strains that can substantially alter in situ stresses, fracture geometry, and wellbore/reservoir integrity, yet existing TEOR modeling has not fully captured coupled thermo-poroelastic (thermo-hydro-mechanical) effects on fracture aperture, fracture-tip behavior, and stress rotation within a displacement discontinuity method (DDM) framework. This study aims to examine the influence of sustained hot-fluid injection on stress redistribution, hydraulic-fracture deformation, and fracture stability in thermal-EOR by accounting for coupled thermal, hydraulic, and mechanical interactions. This study develops a fully coupled thermo-poroelastic DDM formulation in which fracture-surface normal and shear displacement discontinuities, together with fluid and heat influx, act as boundary sources to compute time-dependent stresses, pore pressure, and temperature, while internal fracture fluid flow (Poiseuille-based volume balance), heat transport (conduction–advection with rock exchange), and mixed-mode propagation criteria are included. A representative scenario considers an initially isothermal hydraulic fracture grown to 32 m, followed by 12 months of hot-fluid injection, with temperature contrasts of ΔT = 0–100 °C and reduced pumping rate. Results show that the hydraulic-fracture aperture increases under isothermal and modest heating (ΔT = 25 °C) and remains nearly stable near ΔT = 50 °C, but progressively narrows for ΔT = 75–100 °C despite continued injection, indicating potential injectivity decline driven by thermally induced compressive stresses. Hot injection also tightens fracture tips, restricting unintended propagation, and produces pronounced near-fracture stress amplification and re-orientation: minimum principal stress increases by 6 MPa for ΔT = 50 °C and 10 MPa for ΔT = 100 °C, with principal-stress rotation reaching 70–90° in regions adjacent to the fracture plane and with markedly elevated shear stresses that may promote natural-fracture activation. These findings show that temperature effects can directly influence injectivity, fracture containment, and the risk of unintended fracture or natural-fracture activation, underscoring the importance of temperature-aware geomechanical planning and injection-strategy design in field operations. Incorporating these effects into project design can help operators anticipate injectivity decline, improve fracture containment, and reduce geomechanical uncertainty during long-term hot-fluid injection. Full article

(This article belongs to the Section H1: Petroleum Engineering)

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70 pages, 9142 KB

Open AccessReview

A Review of Natural Hazards’ Impacts on Wind Turbine Performance, Part 2: Earthquakes, Waves, Tropical Cyclones, and Thunderstorm Downbursts

by Xiao-Hang Wang, Chong-Shen Khor, Jing-Hong Ng, Shern-Khai Ung, Ahmad Fazlizan and Kok-Hoe Wong

Energies 2026, 19(2), 385; https://doi.org/10.3390/en19020385 (registering DOI) - 13 Jan 2026

Abstract

The rapid expansion of wind power as a key component of global renewable energy systems has led to the widespread deployment of wind turbines in environments exposed to diverse natural hazards. While hazard effects are often investigated individually, real wind turbine systems frequently [...] Read more.

The rapid expansion of wind power as a key component of global renewable energy systems has led to the widespread deployment of wind turbines in environments exposed to diverse natural hazards. While hazard effects are often investigated individually, real wind turbine systems frequently experience concurrent or sequential hazards over their operational lifetime, giving rise to interaction effects that are not adequately captured by conventional design approaches. This paper presents Part 2 of a comprehensive review on natural hazards affecting wind turbine performance, combining bibliometric keyword co-occurrence analysis with a critical synthesis of recent technical studies. The review focuses on earthquakes, sea waves, and extreme wind events, while also highlighting other hazard types that have received comparatively limited attention in the literature, examining their effects on wind turbine systems and the mitigation strategies reported to address associated risks. Rather than treating hazards in isolation, their impacts are synthesised through cross-hazard interaction pathways and component-level failure modes. The findings indicate that wind turbine vulnerability under multi-hazard conditions is governed not only by load magnitude but also by hazard-induced changes in system properties and operational state. Key research gaps are identified, emphasising the need for state-aware, mechanism-consistent multi-hazard assessment frameworks to support the resilient design and operation of future wind energy systems. Full article

(This article belongs to the Section A3: Wind, Wave and Tidal Energy)

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22 pages, 1873 KB

Open AccessReview

Electron Transfer-Mediated Heavy Metal(loid) Bioavailability, Rice Accumulation, and Mitigation in Paddy Ecosystems: A Critical Review

by Zheng-Xian Cao, Zhuo-Qi Tian, Hui Guan, Yu-Wei Lv, Sheng-Nan Zhang, Tao Song, Guang-Yu Wu, Fu-Yuan Zhu and Hui Huang

Agriculture 2026, 16(2), 202; https://doi.org/10.3390/agriculture16020202 (registering DOI) - 13 Jan 2026

Abstract

Electron transfer (ET) is a foundational biogeochemical process in paddy soils, distinctively molded by alternating anaerobic-aerobic conditions from flooding-drainage cycles. Despite extensive research on heavy metal(loid) (denoted as “HM”, e.g., As, Cd, Cr, Hg) dynamics in paddies, ET has not been systematically synthesized [...] Read more.

Electron transfer (ET) is a foundational biogeochemical process in paddy soils, distinctively molded by alternating anaerobic-aerobic conditions from flooding-drainage cycles. Despite extensive research on heavy metal(loid) (denoted as “HM”, e.g., As, Cd, Cr, Hg) dynamics in paddies, ET has not been systematically synthesized as a unifying regulatory mechanism, and the trade-offs of ET-based mitigation strategies remain unclear. These critical gaps have drastically controlled HMs’ mobility, which further modulates bioavailability and subsequent accumulation in rice (Oryza sativa L., a staple sustaining half the global population), posing substantial food safety risks. Alongside progress in electroactive microorganism (EAM) research, extracellular electron transfer (EET) mechanism delineation, and soil electrochemical monitoring, ET’s role in orchestrating paddy soil HM dynamics has garnered unparalleled attention. This review explicitly focuses on the linkage between ET processes and HM biogeochemistry in paddy ecosystems: (1) elucidates core ET mechanisms in paddy soils (microbial EET, Fe/Mn/S redox cycling, organic matter-mediated electron shuttling, rice root-associated electron exchange) and their acclimation to flooded conditions; (2) systematically unravels how ET drives HM valence transformation (e.g., As(V) to As(III), Cr(VI) to Cr(III)), speciation shifts (e.g., exchangeable Cd to oxide-bound Cd), and mobility changes; (3) expounds on ET-regulated HM bioavailability by modulating soil retention capacity and iron plaque formation; (4) synopsizes ET-modulated HM accumulation pathways in rice (root uptake, xylem/phloem translocation, grain sequestration); (5) evaluates key factors (water management, fertilization, straw return) impacting ET efficiency and associated HM risks. Ultimately, we put forward future avenues for ET-based mitigation strategies to uphold rice safety and paddy soil sustainability. Full article

(This article belongs to the Special Issue From Agricultural Soils to Human Health: Exposure Sources, Intake Pathways, and Accumulation of Heavy Metals)

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20 pages, 33907 KB

Open AccessArticle

GLCN: Graph-Aware Locality-Enhanced Cross-Modality Re-ID Network

by Junjie Cao, Yuhang Yu, Rong Rong and Xing Xie

J. Imaging 2026, 12(1), 42; https://doi.org/10.3390/jimaging12010042 (registering DOI) - 13 Jan 2026

Abstract

Cross-modality person re-identification faces challenges such as illumination discrepancies, local occlusions, and inconsistent modality structures, leading to misalignment and sensitivity issues. We propose GLCN, a framework that addresses these problems by enhancing representation learning through locality enhancement, cross-modality structural alignment, and intra-modality compactness. [...] Read more.

Cross-modality person re-identification faces challenges such as illumination discrepancies, local occlusions, and inconsistent modality structures, leading to misalignment and sensitivity issues. We propose GLCN, a framework that addresses these problems by enhancing representation learning through locality enhancement, cross-modality structural alignment, and intra-modality compactness. Key components include the Locality-Preserved Cross-branch Fusion (LPCF) module, which combines Local–Positional–Channel Gating (LPCG) for local region and positional sensitivity; Cross-branch Context Interpolated Attention (CCIA) for stable cross-branch consistency; and Graph-Enhanced Center Geometry Alignment (GE-CGA), which aligns class-center similarity structures across modalities to preserve category-level relationships. We also introduce Intra-Modal Prototype Discrepancy Mining Loss (IPDM-Loss) to reduce intra-class variance and improve inter-class separation, thereby creating more compact identity structures in both RGB and IR spaces. Extensive experiments on SYSU-MM01, RegDB, and other benchmarks demonstrate the effectiveness of our approach. Full article

(This article belongs to the Special Issue Infrared Image Processing with Artificial Intelligence: Progress and Challenges)

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