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17 pages, 4074 KB  
Article
Synergistically Enhancing Capacitive Performance of Ti3C2Tx MXene via Building Hierarchical Structure of TiO2 Nanowire/MXene Composites and Utilizing Iron-Ion-Based Redox-Active Electrolytes
by Xiaohan Wang and Xusheng Du
Nanomaterials 2026, 16(11), 671; https://doi.org/10.3390/nano16110671 (registering DOI) - 27 May 2026
Abstract
In this work, a strategy for synergistic regulation of the Ti3C2Tx surface structure and redox activity of the electrolyte has been proposed. The surface modification of MXene was achieved via KOH treatment. Meanwhile, to cooperate with the surface-modified [...] Read more.
In this work, a strategy for synergistic regulation of the Ti3C2Tx surface structure and redox activity of the electrolyte has been proposed. The surface modification of MXene was achieved via KOH treatment. Meanwhile, to cooperate with the surface-modified MXene electrode materials, Fe3+/Fe2+ was introduced into its common H2SO4 electrolyte to operate as a redox-active electrolyte for the first time. The results indicate that alkali treatment not only effectively reduces the amount of fluorine-terminal groups on the MXene surface but also forms in situ TiO2 nanowires on its surface, thereby forming a unique hierarchical structure for facilitating the electrochemical reaction. Further utilization of the Fe2+/Fe3+ redox-active electrolyte introduced additional pseudocapacitive reactions at the electrode/electrolyte interface, significantly enhancing the capacitive performance of the system. This synergistic effect of both the hierarchical 1D TiO2/MXene composite electrode materials and the redox-active electrolyte resulted in a substantial increase in specific capacitance from 78.17 F g−1 to 655.54 F g−1 at a current density of 10 Ag−1. The reaction kinetics of the electrochemical systems were studied, along with their energy storage mechanism. It is revealed that there is a transition of the energy storage mechanism from being dominated almost solely by diffusion control to collaborative diffusion and surface reactions in the synergistic electrode/electrolyte system, and the corresponding equivalent circuit has evolved from the single-interface model to a dual-interface model. This work has demonstrated that the proposed synergistic strategy can effectively enhance the capacitive performance of the MXene energy storage system and can be applied to other electrochemical systems. Full article
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23 pages, 1363 KB  
Article
Influence of Additives on the Curing Kinetics and Delay Time Sensitivity of Mono-Component Polyurethane Mixtures
by Haisheng Zhao, Wenbin Gao, Peiyu Zhang, Chongji Diao, Chunhua Su, Bokai Liu, Hongshan Shang and Shijie Ma
Coatings 2026, 16(6), 649; https://doi.org/10.3390/coatings16060649 (registering DOI) - 27 May 2026
Abstract
Polyurethane (PU) mixtures are a promising high-strength, rapid-curing alternative to conventional asphalt, but their widespread application is hindered by slow curing rates and sensitivity to ambient moisture. To address these limitations, this study systematically evaluated the efficacy of three additives—lignin-based fiber, Glauber’s salt, [...] Read more.
Polyurethane (PU) mixtures are a promising high-strength, rapid-curing alternative to conventional asphalt, but their widespread application is hindered by slow curing rates and sensitivity to ambient moisture. To address these limitations, this study systematically evaluated the efficacy of three additives—lignin-based fiber, Glauber’s salt, and green vitriol—in regulating the curing behavior and performance of PU mixtures. Marshall stability, volumetric properties, and moisture resistance were measured under both outdoor and controlled laboratory curing conditions. Lignin fiber uniformly accelerates early-stage curing by enhancing moisture distribution via capillary action. Glauber’s salt releases crystalline water, drastically boosting early-age strength (by 162.4% after 2 days) but at the cost of an increased air void content (up to 8.1%) and reduced long-term water stability (residual stability <80%). Green vitriol acts through Fe2+ catalysis and crystalline water release, with its effectiveness being highly temperature- and delay-time-dependent. Combining fiber with Glauber’s salt yields the highest early strength but the shortest construction window (<1 h) and the most severe volumetric deterioration beyond the optimal delay time. All mixtures achieved high ultimate strength after sufficient curing (7 days), but the improvement varied significantly with additive type—ranging from 52.2% (fiber alone) to 162.4% (Glauber’s salt alone). Moreover, even under ideal curing, incomplete –NCO conversion persisted, indicating intrinsic cross-linking limitations. The residual stability of all mixtures fell below the 80% specification for conventional asphalt, suggesting that this metric alone is insufficient for assessing the moisture resistance of high-strength PU mixtures. This study demonstrates that while additives significantly enhance early-age performance, their application requires carefully optimized dosage, delay time, and temperature control to balance early strength gains with long-term volumetric integrity and durability. The findings provide revised evaluation metrics and practical guidelines for implementing PU mixtures in rapid pavement construction and repair. Full article
(This article belongs to the Section Architectural and Infrastructure Coatings)
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30 pages, 7624 KB  
Article
Hierarchical Adaptive Gear Shift Strategy Considering Transmission Operating States for Two-Speed Electric Vehicles
by Bolin He, Yong Chen, Qiang Wei and Changyin Wei
Actuators 2026, 15(6), 293; https://doi.org/10.3390/act15060293 (registering DOI) - 26 May 2026
Abstract
Two-speed transmissions can regulate the motor operating point by changing the transmission ratio of drive systems and are an effective approach to improving both dynamic performance and energy efficiency of battery electric vehicles. However, existing gear shift strategies rarely consider the impact of [...] Read more.
Two-speed transmissions can regulate the motor operating point by changing the transmission ratio of drive systems and are an effective approach to improving both dynamic performance and energy efficiency of battery electric vehicles. However, existing gear shift strategies rarely consider the impact of transmission operating states on shift rationality and system stability, leading to limited adaptability under complex driving conditions. To address this issue, a hierarchical fuzzy evaluation and gear shift strategy matching method based on transmission operating states is proposed. First, three basic strategies are designed. Then, shift frequency and gear duty ratio are introduced to characterize transmission behavior, and a hierarchical decision framework consisting of driving demand evaluation, transmission behavior evaluation, and strategy matching is constructed to enable adaptive selection among different strategies. Furthermore, a fuzzy shift frequency correction strategy is proposed to adjust shift thresholds online, thereby reducing frequent and unnecessary shifting. Finally, simulations are conducted under multiple typical driving cycles based on a vehicle model, and experimental validation is carried out using a high-speed dual motor load test bench. The results demonstrate that the proposed strategy can effectively balance dynamic performance and energy efficiency while reducing unnecessary shifts. Full article
(This article belongs to the Special Issue Integrated Intelligent Vehicle Dynamics and Control—2nd Edition)
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25 pages, 2032 KB  
Article
A Feature Selection Method Based on an Improved Sand Cat Swarm Optimization Algorithm with Multi-Strategy Fusion
by Zhouheng Wu, Tao Zhou, Jianyong Fan, Ruimin Zhang, Zhigang Li and Kang Hu
Entropy 2026, 28(6), 595; https://doi.org/10.3390/e28060595 - 26 May 2026
Abstract
Feature selection (FS) plays a crucial role in high-dimensional data analysis by improving model performance and reducing computational complexity. However, existing metaheuristic-based FS methods often suffer from insufficient population diversity, premature convergence, and limited capability to escape local optima, which substantially constrains their [...] Read more.
Feature selection (FS) plays a crucial role in high-dimensional data analysis by improving model performance and reducing computational complexity. However, existing metaheuristic-based FS methods often suffer from insufficient population diversity, premature convergence, and limited capability to escape local optima, which substantially constrains their effectiveness in complex search spaces. To address these challenges, this paper proposes a novel Improved Sand Cat Swarm Optimization algorithm with multi-strategy fusion (ISCSO) for feature selection. The proposed method introduces a hybrid initialization mechanism based on the Hénon chaotic map and lens imaging reverse learning to enhance population diversity. A golden sine-based phase adjustment strategy is further incorporated to achieve a more effective balance between global exploration and local exploitation. In addition, a nonlinear adaptive weight mechanism is designed to dynamically regulate the search process, while a simulated annealing-based acceptance criterion is integrated to improve the ability to escape local optima. Comprehensive experiments are conducted on the CEC2017 benchmark suite and 18 real-world datasets from the UCI repository. The results demonstrate that ISCSO achieves superior performance over state-of-the-art algorithms, obtaining the optimal results on 82.76% of benchmark functions. In feature selection tasks, ISCSO achieves the optimal average fitness on 94.44% of datasets, reduces feature dimensionality significantly, and consistently improves classification accuracy. These findings indicate that ISCSO provides a competitive and reliable solution for high-dimensional feature selection and complex optimization problems. Full article
(This article belongs to the Section Multidisciplinary Applications)
16 pages, 8367 KB  
Article
Enhanced Bioactivities of Fermented Rehmannia glutinosa via Catalpol-Mediated GLP-1R Signaling
by Eun-Ji You and Boyong Kim
Curr. Issues Mol. Biol. 2026, 48(6), 559; https://doi.org/10.3390/cimb48060559 - 26 May 2026
Abstract
Fermentation is widely used to enhance the bioactivity of herbal phytochemicals through microbial bioconversion. Rehmannia glutinosa contains catalpol, an iridoid glycoside with metabolic and immunomodulatory potential; however, its efficacy in the unfermented form is limited. This study investigated whether fermentation enhances catalpol production [...] Read more.
Fermentation is widely used to enhance the bioactivity of herbal phytochemicals through microbial bioconversion. Rehmannia glutinosa contains catalpol, an iridoid glycoside with metabolic and immunomodulatory potential; however, its efficacy in the unfermented form is limited. This study investigated whether fermentation enhances catalpol production and improves metabolic and immune-regulating functions via glucagon-like peptide-1 receptor (GLP-1R) signaling. Rehmannia glutinosa extract was fermented under optimized conditions, and catalpol and iridoid precursor levels were quantified to assess bioconversion efficiency. Biological effects were evaluated in intestinal epithelial cells, macrophages, and an Artemia model, focusing on glucose transport, GLP-1 secretion, dipeptidyl peptidase-4 (DPP-4) expression, mucosal defense, and GLP-1R/protein kinase A/cAMP response element-binding protein (PKA/CREB) signaling. Fermentation significantly increased catalpol content while reducing iridoid precursors. The fermented extract suppressed intestinal glucose absorption by downregulating sodium–glucose cotransporter 1 (SGLT1) and glucose transporter 2 (GLUT2). It also enhanced GLP-1 secretion and reduced DPP-4 expression, leading to activation of GLP-1R/PKA/CREB signaling. This activation increased mucin 2 (MUC2) expression and promoted anti-inflammatory. Full article
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22 pages, 1821 KB  
Review
The Role of Leukemia Inhibitory Factor in Attenuating Skeletal Muscle Atrophy: Mechanisms to Exercise Interventions
by Na Jiang, Shiyi Wang, Jiaqiao Zhang and Dandan Jia
Cells 2026, 15(11), 981; https://doi.org/10.3390/cells15110981 - 26 May 2026
Abstract
Leukemia inhibitory factor (LIF), a member of the interleukin-6 (IL-6) cytokine family, is a well-characterized myokine with pleiotropic regulatory effects on skeletal muscle. LIF modulates several fundamental cellular processes, including myoblast proliferation, apoptosis, angiogenesis, and energy metabolism. Exercise upregulates LIF expression in skeletal [...] Read more.
Leukemia inhibitory factor (LIF), a member of the interleukin-6 (IL-6) cytokine family, is a well-characterized myokine with pleiotropic regulatory effects on skeletal muscle. LIF modulates several fundamental cellular processes, including myoblast proliferation, apoptosis, angiogenesis, and energy metabolism. Exercise upregulates LIF expression in skeletal muscle, thereby promoting satellite cell activation, proliferation, myoblast differentiation, and angiogenesis, facilitating physiological muscle hypertrophy, and suppressing myocyte apoptosis and muscle atrophy. In addition, LIF plays a critical role in modulating the inflammatory and extracellular matrix remodeling following exercise-induced muscle damage, thereby supporting efficient muscle repair and regeneration. This review elaborates on the biological mechanisms by which LIF regulates skeletal muscle atrophy and contributes to the enhancement of skeletal muscle function. It also highlights the biological characteristics of myogenic LIF and discusses future directions for basic and applied research on exercise interventions targeting LIF signaling pathways. Full article
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44 pages, 1116 KB  
Review
The Role of Polyphenols on Cognitive Function and Dementia Through Gut–Microbiota–Brain Axis Modulation: A Narrative Review
by Oualid Sbai, Lorena Perrone and Patrick Poucheret
Nutrients 2026, 18(11), 1697; https://doi.org/10.3390/nu18111697 - 26 May 2026
Abstract
The number of individuals affected by dementia and cognitive decline is progressively increasing, becoming a serious global health challenge. Several investigations underline the role of nutrition and dietary habits as a preventive strategy. Recent studies suggest that dietary supplementation with polyphenols may constitute [...] Read more.
The number of individuals affected by dementia and cognitive decline is progressively increasing, becoming a serious global health challenge. Several investigations underline the role of nutrition and dietary habits as a preventive strategy. Recent studies suggest that dietary supplementation with polyphenols may constitute an efficient preventive strategy. Indeed, it is emerging that polyphenols exhibit a neuroprotective effect because of their pronounced antioxidant and anti-inflammatory activity. Notably, several studies underline the role of the gut microbiota in the metabolism of the polyphenols, producing bioactive molecules that are absorbed through the gastrointestinal tract. They may exhibit beneficial effects on the central nervous system. Moreover, dietary polyphenols modulate gut microbiota composition, demonstrating a reciprocal regulation between gut microbiota and polyphenol-induced effects on brain functions. Thus, polyphenols are proposed to have an important role on the gut–microbiota–brain axis regulation. The literature search for this narrative review was conducted across three electronic databases PubMed, Scopus, and Web of Science as well as the NIH ClinicalTrials.gov registry, covering the period from January 2000 to 10 February 2026. The following search terms were used: “polyphenols”, “microbiota”, “gut–brain axis”, “dementia”, “cognitive function”, “polyphenols and cognitive dysfunction”, and “polyphenols and microbiota”. The study selection process was performed in two sequential stages: (i) screening of titles and abstracts, followed by (ii) full-text assessment for eligibility. Articles were included if they were peer-reviewed studies (in vitro, in vivo, or clinical trials), published in English, and addressed the effects of polyphenols on cognitive outcomes, gut microbiota composition, or the gut–microbiota–brain axis. Exclusion criteria included non-peer-reviewed sources, studies lacking relevant cognitive or microbiota-related endpoints, and publications not available in full. Full article
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31 pages, 4376 KB  
Article
Scale Measurement of Agricultural Water Transfer from the Perspective of Food Security: Evidence from the Wei River Basin in Henan Province
by Jiahao Li, Xiruo Wang, Shuchang Gu and Lina Zhang
Water 2026, 18(11), 1287; https://doi.org/10.3390/w18111287 - 26 May 2026
Abstract
To measure the scale of agricultural water transfer (AWT) from the perspective of food security, this paper establishes an integrated framework for quantifying its actual scale, theoretical transferable scale, and deviation. Based on panel data from 2001 to 2023 of five cities (Anyang, [...] Read more.
To measure the scale of agricultural water transfer (AWT) from the perspective of food security, this paper establishes an integrated framework for quantifying its actual scale, theoretical transferable scale, and deviation. Based on panel data from 2001 to 2023 of five cities (Anyang, Hebi, Xinxiang, Jiaozuo, Puyang) of the Wei River Basin in Henan Province, China, the actual transfer scale is derived by comparing agricultural water right allocations with net crop irrigation requirements calculated via the FAO 56 Penman Monteith formula; the theoretical transferable scale is estimated using a translog production function grounded in factor substitution theory. By contrasting the two scales, deviations and excessive transfer scenarios are identified. The results show that (1) actual AWT occurred in 59.13% of the city–year observations, exhibiting clear phase-based fluctuations, with positive transfer scale ranging from 0.046 to 13.983 × 108 m3. The largest positive transfer occurred in Puyang in 2002, and Puyang, Jiaozuo, and Xinxiang were the main outflow areas. Factor combinations could release transferable water in 45.22% of the city–year observations, wherein pesticide/fertilizer, agricultural machinery, and grain sown area serve as the main substitutes. Theoretical transferable scale ranged from −60.150 to 186.374 × 108 m3, with a mean of 1.718 × 108 m3 and a median of −0.108 × 108 m3, indicating unstable factor-substitution capacity. (2) Excessive transfer was identified when the actual transfer scale was positive and exceeded the theoretical transferable scale. Under this criterion, 47.82% of observations were excessive transfers, 11.33% were reasonable transfers, and 40.85% showed no transfer. Jiaozuo and Puyang were the core excessive transfer areas, each showing excessive transfer in 16 of the 23 years, while Xinxiang has shown a rising trend in recent years; Anyang, by contrast, effectively controls excesses through water saving technologies. The findings highlight the need for dynamic monitoring, city-specific regulation, and advanced water-saving technologies to balance water allocation with food security. Full article
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25 pages, 998 KB  
Review
Metabolic Memory-Mediated Epigenetic Regulation of EMT in Diabetic Kidney Disease: Mechanisms and Therapeutic Implications
by Xinning Ran, Yidan Xu, Ruonan Liang, Yuqi Duan, Wanying Jia, Yuhong Bian, Chenduo Li and Mingxing Zhang
Int. J. Mol. Sci. 2026, 27(11), 4801; https://doi.org/10.3390/ijms27114801 - 26 May 2026
Abstract
Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease, with renal fibrosis as its core pathological hallmark. A central driver of this fibrosis is epithelial–mesenchymal transition (EMT), during which renal tubular epithelial cells transform into matrix-producing myofibroblasts. Endothelial–mesenchymal transition (EndMT) [...] Read more.
Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease, with renal fibrosis as its core pathological hallmark. A central driver of this fibrosis is epithelial–mesenchymal transition (EMT), during which renal tubular epithelial cells transform into matrix-producing myofibroblasts. Endothelial–mesenchymal transition (EndMT) has also emerged as a critical contributor, and together with EMT, accounts for the progressive accumulation of myofibroblasts and extracellular matrix. A major clinical challenge in halting DKD progression is “metabolic memory”, a phenomenon whereby renal injury persists and EMT/EndMT remain activated even after glycemic control is achieved. The molecular basis underlying this sustained activation remains incompletely understood. Emerging evidence indicates that metabolic memory is largely mediated by epigenetic mechanisms, including histone modifications, DNA methylation, and non-coding RNA dysregulation. These stable epigenetic imprints maintain the persistent activation of key pro-fibrotic signaling pathways, especially TGF-β, thereby continuously driving EMT, EndMT, and excessive extracellular matrix deposition. Although targeting epigenetic regulators has shown promising anti-fibrotic effects, a systematic review that integrates how metabolic memory orchestrates both EMT and EndMT through a multi-layered epigenetic network remains lacking. This review comprehensively summarizes the epigenetic mechanisms by which metabolic memory sustains EMT and EndMT in DKD, highlights key therapeutic targets, and discusses their translational and clinical implications. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
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15 pages, 1176 KB  
Review
The Role of Matrix Metalloproteinases in Orthodontics, Dental Trauma, Restorative Dentistry, and Endodontics: Molecular Mechanisms and Clinical Implications
by Renata Ławicka, Kinga Królikowska, Katarzyna Błaszczak, Zuzanna Borawska, Monika Zbucka-Krętowska, Sławomir Ławicki and Magdalena Nowosielska
Int. J. Mol. Sci. 2026, 27(11), 4800; https://doi.org/10.3390/ijms27114800 - 26 May 2026
Abstract
Matrix metalloproteinases (MMPs) are zinc-dependent proteolytic enzymes involved in extracellular matrix remodelling in oral and dental tissues, including the periodontal ligament, alveolar bone, dentin, dental pulp, and periapical tissues. This narrative review summarises selected evidence on the role of MMPs and tissue inhibitors [...] Read more.
Matrix metalloproteinases (MMPs) are zinc-dependent proteolytic enzymes involved in extracellular matrix remodelling in oral and dental tissues, including the periodontal ligament, alveolar bone, dentin, dental pulp, and periapical tissues. This narrative review summarises selected evidence on the role of MMPs and tissue inhibitors of metalloproteinases (TIMPs) in orthodontic tooth movement, dental trauma and root resorption, restorative adhesive dentistry, and pulp/periapical disease. Particular attention is given to signalling pathways that regulate MMP/TIMP activity, including nuclear factor kappa B (NF-κB), mitogen-activated protein kinase (MAPK), Wnt/β-catenin, and transforming growth factor beta (TGF-β)/Smad-related mechanisms. The review also discusses the biomarker potential and translational status of MMP-targeted strategies. Across clinical contexts, MMP activity contributes to both matrix degradation and tissue repair, and its biological effect depends on local stimuli, TIMP-mediated regulation, pathway crosstalk, and the stage of disease or treatment. Full article
(This article belongs to the Section Molecular Biology)
56 pages, 4976 KB  
Article
Sustainability-Related Uncertainty and ESG Market Volatility: Evidence on Time-Varying Predictive Linkages in ESG Markets
by Camelia Oprean-Stan, Diana Elena Vasiu, Renate Doina Bratu and Sebastian-Emanuel Stan
Systems 2026, 14(6), 611; https://doi.org/10.3390/systems14060611 - 26 May 2026
Abstract
Against the backdrop of the expansion of sustainable finance and the growing relevance of ESG-related information, disclosure and regulation, this paper examines the dynamic relationship between sustainability-related uncertainty and ESG equity market volatility in a global framework. Sustainability-related uncertainty is proxied by the [...] Read more.
Against the backdrop of the expansion of sustainable finance and the growing relevance of ESG-related information, disclosure and regulation, this paper examines the dynamic relationship between sustainability-related uncertainty and ESG equity market volatility in a global framework. Sustainability-related uncertainty is proxied by the Global GDP-Weighted ESG-Based Sustainability Uncertainty Index (ESGUI), while ESG market volatility is measured through a monthly proxy constructed from estimated daily conditional variances obtained from GJR-GARCH(1,1) models with Student-t innovations. The paper explicitly distinguishes sustainability-related uncertainty, understood as ambiguity in the ESG information environment, from ESG market volatility, understood as market-pricing instability in ESG equity benchmarks. Empirically, the study combines bootstrap full-sample Granger-causality tests, parameter-stability diagnostics, and rolling-window bootstrap analysis. Robustness and extended analyses use an EGARCH-based volatility proxy, alternative rolling-window lengths, macro-financial controls, an emerging-market ESG benchmark, impulse-response analysis, forecast-error variance decomposition, and out-of-sample forecasting tests. The full-sample results indicate an asymmetric predictive pattern: ESG market volatility contains Granger-causal predictive information for changes in sustainability-related uncertainty, whereas the reverse direction is not supported on average. However, parameter-stability tests reject constancy, and rolling-window evidence shows that predictive effects arise episodically in both directions, with changes in sign, magnitude and significance. The uncertainty-to-volatility channel becomes statistically relevant and locally stronger during stress episodes, especially around 2019–2021, while macro-control results show that broader market stress absorbs part of the volatility-to-uncertainty linkage. The findings indicate a regime-dependent uncertainty–volatility nexus and support dynamic approaches to ESG risk monitoring, portfolio management and regulatory communication. All results are interpreted as predictive evidence, not structural causality. Full article
(This article belongs to the Section Systems Theory and Methodology)
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30 pages, 10268 KB  
Article
Gut Microbiota and Metabolite Remodeling Underlies the Anxiolytic Effect of Anshen Bunao Oral Liquid
by Yan Chen, Song Lei, Zhipeng Chen, Wenbo Gao, Gang Liu, Yongkuan Wang, Leqi Wang, Xiuyun Zhang, Xue Xiao and Qinqiang Long
Pharmaceuticals 2026, 19(6), 831; https://doi.org/10.3390/ph19060831 - 26 May 2026
Abstract
Background/Objectives: Anshen Bunao Oral Liquid (ABOL) is a traditional medicinal formula comprising Cornu Cervi Pantotrichum, Radix Polygoni Multiflori Preparata and other ingredients. It replenishes essence, nourishes qi and blood, and soothes the spirit. It is used in clinical practice to treat [...] Read more.
Background/Objectives: Anshen Bunao Oral Liquid (ABOL) is a traditional medicinal formula comprising Cornu Cervi Pantotrichum, Radix Polygoni Multiflori Preparata and other ingredients. It replenishes essence, nourishes qi and blood, and soothes the spirit. It is used in clinical practice to treat neurasthenia and insomnia (emotion-related symptoms), and its key component, glycyrrhizin, exhibits anxiolytic properties. This aligns with the holistic approach of traditional Chinese medicine (TCM) to regulating neuropsychiatric disorders. The aim of this study is to evaluate the anxiolytic efficacy of ABOL in rats with anxiety induced by chronic restraint stress (CRS), and to clarify its mechanism by focusing on modulation of the gut–brain axis (microbiota and metabolism). Methods: Sprague-Dawley rats underwent three hours of restraint per day for 28 days to induce anxiety. ABOL was administered intragastrically in three doses. Anxiety-like behaviours were assessed using OFT, EPM and SPT. Serum, tissue and faecal samples were analysed using ELISA, histopathology, immunohistochemistry, non-targeted metabolomics, 16S rRNA sequencing and RT-qPCR. Results: CRS induced anxiety-like behaviours, impaired weight gain and perturbed the balance of neurotransmitters (decreasing 5-HT, GABA, NE and DA, while increasing CORT), inducing inflammation/oxidative stress, hippocampal neuronal injury, intestinal barrier dysfunction and gut microbiota/metabolic dysregulation. ABOL effectively reversed these abnormalities by restoring the balance of neurotransmitters and the HPA axis, suppressing inflammation and oxidation, protecting neurons and the intestinal barrier, remodelling the gut microbiota (enriching Akkermansia and balancing Firmicutes/Bacteroidota) and regulating sphingolipid and glycerophospholipid pathways. The interaction between the gut microbiota and metabolites may contribute to this pharmacological effect. Conclusions: ABOL exerts anxiolytic effects by modulating the gut–brain axis at multiple targets, involving microbiota remodelling, regulation of lipid metabolism and improvement of pathology. This validates its ethnopharmacological value, linking traditional Chinese medicine to the development of modern anxiolytics. Full article
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18 pages, 2964 KB  
Article
Performance and Microstructural Characteristics of Ultra-Early High-Strength Cement-Based Grouting Materials Modified with Accelerating and Retarding Agents
by Xing-Ze Duan, Zhao-Jun Liu, Shuai-Qi Wang, Rui-Jie Xia, Wei Li, Ju Liu, Guo-Hua Song, Zhi-Xiao Shi, Jun Shi, Ao Yang and Kuang-Yu Dai
Infrastructures 2026, 11(6), 185; https://doi.org/10.3390/infrastructures11060185 - 26 May 2026
Abstract
To balance ultra-early strength development and workable time in cement-based grouting materials for rapid repair applications, an ultra-early high-strength grout system was developed by regulating the dosage of an accelerating agent (CF), retarder content, and water-to-binder ratio (w/b). The effects of these parameters [...] Read more.
To balance ultra-early strength development and workable time in cement-based grouting materials for rapid repair applications, an ultra-early high-strength grout system was developed by regulating the dosage of an accelerating agent (CF), retarder content, and water-to-binder ratio (w/b). The effects of these parameters on setting behavior, workability, mechanical properties, volumetric stability, and durability were systematically investigated. X-ray diffraction (XRD) and scanning electron microscopy coupled with energy-dispersive spectroscopy (SEM/EDS) were further conducted to qualitatively evaluate the hydration characteristics and microstructural evolution of the optimized system. The results showed that CF accelerated early hydration and promoted the rapid formation of ettringite (AFt), which contributed to the development of ultra-early strength. The incorporation of a retarder effectively prolonged the workable time and improved slurry workability. Increasing the w/b ratio enhanced flowability and toughness, although excessive w/b reduced compressive strength. The optimal mixture contained 30% CF, 0.02% retarder, and a w/b ratio of 0.19. Under this condition, the grout exhibited a flowability of 312 mm and compressive strengths of 81.4 MPa at 1 h and 121.3 MPa at 28 d. In addition, low air shrinkage (0.027% at 28 d) and excellent chloride penetration resistance (12 C at 28 d) were achieved. Microstructural observations suggested that the dense structure formed by AFt and C–S–H gel contributed to the improved macroscopic performance. This study provides an engineering-oriented reference for the mix design and performance optimization of ultra-early high-strength cement-based grouting materials for rapid repair applications. Full article
26 pages, 7458 KB  
Article
Design and Investigation of Electromagnetic Characteristics of a Field-Modulated Permanent Magnet Vernier Generator
by Kangning Wang, Mingzhong Qiao, Bo Wu and Siyu Chen
Electronics 2026, 15(11), 2306; https://doi.org/10.3390/electronics15112306 - 26 May 2026
Abstract
This paper presents a 10 kW outer-rotor field-modulated permanent magnet vernier generator tailored for low-speed direct-drive applications. It employs an outer-rotor Spoke-array configuration, which effectively mitigates the leakage flux between adjacent pole pairs. First, the topology and operating principle of the proposed generator [...] Read more.
This paper presents a 10 kW outer-rotor field-modulated permanent magnet vernier generator tailored for low-speed direct-drive applications. It employs an outer-rotor Spoke-array configuration, which effectively mitigates the leakage flux between adjacent pole pairs. First, the topology and operating principle of the proposed generator are elaborated. Analytical calculations of key design parameters are then performed to accelerate the modeling process. A systematic parametric sweep is conducted to optimize the motor parameters, based on which a 2D finite element analysis model is established. Comprehensive FEA simulations are carried out to investigate its flux regulation capability, static and dynamic characteristics, and permanent magnet demagnetization risk. The results demonstrate that the Spoke-array permanent magnet array effectively suppresses leakage flux, achieving a volumetric power density of 387.5 kW/m3, and the no-load back electromotive force achieves a peak amplitude of 270 V with a total harmonic distortion as low as 3.7%, which is significantly higher than that of conventional permanent magnet vernier generators. Finally, a 30-slot/23-pole prototype is fabricated and tested. The experimental results show excellent agreement with the simulation predictions, validating the effectiveness of the proposed design. Full article
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30 pages, 1142 KB  
Article
Genome-Wide and Locus-Level Analyses Reveal Modest, Heterogeneous Genetic Sharing Between Alzheimer’s Disease and Myasthenia Gravis
by Emmanuel O. Adewuyi, Asa Auta, Chinedu I. Ossai, Chidozie C. Anyaegbu, Thi Thu Huong Nguyen, Md Rezanur Rahman, Blossom C. M. Stephan, Gizachew A. Tessema, Dale R. Nyholt and Gavin Pereira
Int. J. Mol. Sci. 2026, 27(11), 4792; https://doi.org/10.3390/ijms27114792 - 26 May 2026
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder, whereas myasthenia gravis (MG) is an autoimmune neuromuscular disease. Despite their distinct clinical manifestations, both disorders involve immune dysregulation and cholinergic dysfunction, and epidemiological evidence for an association remains inconclusive. Here, we investigated the genetic architecture [...] Read more.
Alzheimer’s disease (AD) is a neurodegenerative disorder, whereas myasthenia gravis (MG) is an autoimmune neuromuscular disease. Despite their distinct clinical manifestations, both disorders involve immune dysregulation and cholinergic dysfunction, and epidemiological evidence for an association remains inconclusive. Here, we investigated the genetic architecture underlying the AD–MG relationship using large-scale European-ancestry genome-wide association study (GWAS) data, including early- and late-onset MG, within a multi-resolution analytical framework. Genome-wide analyses indicated modest polygenic overlap between AD and MG, supported by nominally significant and directionally consistent correlations across datasets, SNPeffect concordance in the primary GWAS, and robust gene-level overlap. Evidence for genome-wide correlation was weaker and non-significant across AD-MG subtypes. Local genetic correlation analyses revealed that shared AD-MG signals were largely locus-specific and heterogeneous, with regions showing both concordant and discordant effects, particularly across MG subtypes. Subtype-specific analyses indicated broader and more heterogeneous overlap for AD–late-onset MG, including both major histocompatibility complex (MHC) and non-MHC loci, whereas AD–early-onset MG showed more restricted patterns largely confined to the MHC. Cross-trait meta-analysis and colocalisation further refined these findings, identifying a limited number of loci with evidence of shared AD-MG association, while most regions were consistent with distinct causal variants. A chromosome 16 locus showed the most consistent shared cross-trait AD-MG signal across multiple analytical frameworks. Mendelian randomisation analyses provided no evidence of a causal effect of AD liability on MG and yielded only suggestive, and inconclusive evidence for the reverse direction. Gene-level and expression-informed analyses prioritised immune-related genes, as well as regulators of transcription, chromatin organisation, and synaptic processes, without implying concordant causal variants across traits. Tissue and pathway analyses suggested shared immune involvement, with differential emphasis on innate immune processes in AD and adaptive immune pathways in MG. Notably, heterogeneity of effects within the MHC and across loci suggests that overlap reflects a complex, context-dependent architecture rather than a uniform immune-driven signal. Overall, our findings indicate that the AD–MG relationship is characterised by modest genome-wide polygenic overlap, substantial locus-specific heterogeneity, and partial convergence on immune-related genetic architecture, rather than a uniformly shared mechanism. Full article
(This article belongs to the Special Issue Genomics of Human Disease)
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