Search Results (6,462)

Cotton Verticillium wilt (VW), caused by the soil-borne fungus Verticillium dahliae (V. dahliae), is a devastating disease that poses a serious threat to sustainable cotton production worldwide. Protein methylation plays a critical role in fungal adaptation to the host environment and manipulation of plant immunity. Protein arginine methyltransferases (PRMTs) are key enzymes catalyzing arginine methylation, yet their functions in V. dahliae pathogenicity remain largely unexplored. In this study, we identified VdPRMT4 in V. dahliae through homology-based screening. qRT-PCR analysis revealed that VdPRMT4 transcript levels were significantly increased during the early stages of V. dahliae infection in cotton. HIGS assays showed that silencing VdPRMT4 markedly alleviated cotton VW symptoms and reduced fungal biomass in cotton plants. Gene knockout and complementation experiments demonstrated that deletion of VdPRMT4 did not affect hyphal growth but significantly impaired sporulation capacity and severely attenuated pathogenicity on cotton. Transcriptomic analysis further indicated that loss of VdPRMT4 profoundly affected the metabolic pathways of V. dahliae, including protein processing in the endoplasmic reticulum, purine metabolism, and glycerolipid metabolism. Collectively, this study provides the first evidence that VdPRMT4 plays a critical role in stress adaptation and pathogenicity of V. dahliae, offering new insights into fungal pathogenesis and identifying potential targets for VW control. Full article

Cancer is the second leading cause of death worldwide. Mutations in the TP53 gene lead to a loss of tumor suppressor function and an oncogenic gain of function for the protein, resulting in a more invasive, metastatic, and chemoresistant phenotype. Diverse structural studies have demonstrated that mutant p53 core domain unfolding is not irreversible. Thus, reactivation toward its wild-type-like conformation or inactivation of its mutant p53 capacities may restore the expression of genes in its tumor suppressor pathways, resulting in enhanced responses to current therapies. Resveratrol (3,4′,5-trihydroxy-trans-stilbene) is a phytoalexin naturally found in more than 70 plant species that has widely proven antiproliferative and pro-apoptotic properties, as well as a capacity to reverse multidrug resistance in various cancer types. Interestingly, it has recently been demonstrated that resveratrol directly interacts with the p53 core domain and reduces mutant p53 aberrant aggregation. In this context, our study aims to elucidate whether resveratrol may induce antiproliferative and pro-apoptotic pathways regardless of a mutant background. We observed that resveratrol has an antiproliferative effect in cancer cells, independent of p53 status, and leads to apoptosis after 48 h of treatment. Resveratrol also induces the expression of p53 tumor suppressor target genes, which are involved in cell cycle arrest and apoptosis. Even though the previous effects are more significant in cells expressing wild-type p53, resveratrol drastically sensitizes all cancer cell lines, regardless of p53 status, to cisplatin treatment, making it a promising enhancer compound to overcome chemoresistance associated with p53. Full article

In fixed-view interaction scenarios of unmanned restaurants, face detection models face two core bottlenecks: the mismatch between training data distribution and real deployment scenarios, and the misalignment between model feature capacity allocation and business priority. To address these problems, this paper takes YOLOv8n (You Only Look Once version 8n) as the baseline, proposes a unified Scale-Aligned Capacity Allocation (SACA) theoretical framework, and constructs an end-to-end Scale Distribution Reconstruction Network (SDRNet) for lightweight face detection. First, we define the SACA loss with KL (Kullback-Leibler) divergence as the core optimization objective, which mathematically characterizes the matching degree between model capacity allocation and real scene face scale distribution. Second, a two-stage scene-aware scale distribution reconstruction strategy is designed based on the SACA framework, which derives the core face scale interval of the unmanned restaurant scene through a monocular imaging model, and constructs a scene-adaptive training dataset based on the public WIDER FACE benchmark, which is highly consistent with the real scale distribution of unmanned restaurant scenarios. Third, three scale-aligned lightweight modules, including LFEM (Lightweight Feature Extraction Module), LDown (Feature Segmentation and Sparse Optimization Module), and MSCH (Multi-Feature Shared Convolution Module), are proposed to realize the priority allocation of model capacity to core interaction scales, achieving collaborative optimization of data distribution and model structure. Fourth, a 2 × 2 controlled experiment is designed to separate the independent contributions of the data strategy and architectural improvements, and the robustness of the proposed model is verified on the standard WIDER FACE benchmark. Finally, a scale-specific validation mechanism is established to conduct fine-grained evaluation of the model’s detection performance on faces of different scales, avoiding the overall indicator masking the accuracy fluctuation of core scenarios. Experimental results show that the parameters of the proposed model are reduced to 1.76 M (a decrease of 41%), and the computational complexity is reduced to 5.5 GFLOPs (Giga Floating-point Operations Per Second) (a decrease of 32%). The mAP@0.5 (mean Average Precision) of the core medium-scale face reaches 0.684, with the performance loss controlled within 2% compared with the baseline. On the standard WIDER FACE benchmark, the model maintains competitive detection accuracy under extreme lightweight compression, which fully verifies its robustness. On the NVIDIA Jetson Orin NX embedded platform, the inference frame rate of TensorRT-FP16 reaches 79.9 FPS (Frames Per Second), which fully meets the real-time deployment requirements of resource-constrained unmanned restaurant scenarios. Full article

This study investigates the tide-dominated hydrodynamic response of Pulandian Bay to shoreline changes by comparing numerical simulations under shoreline conditions in 2004 and 2020 using the FVCOM. The results indicate that shoreline changes exert significant spatially heterogeneous effects on tidal dynamics. Channel narrowing caused by aquaculture enclosures and saltpan construction increased flow velocity near Boji Island. Meanwhile, tidal prism decreased during both spring and neap tides due to the loss of intertidal areas from northern reclamation, thereby weakening water exchange capacity. The outer bay, directly connected to the open sea, exhibits stronger water exchange than the relatively enclosed inner bay. However, the removal of seawalls in the inner bay enhanced flow in the central deep trough, resulting in improved water exchange capacity in 2020 compared to 2004. Shoreline changes also intensified tidal residual currents, with high-value Eulerian residuals mainly distributed in the northern and central parts of the bay. In addition, the restoration of tidal channels in the inner bay slightly increased residual current velocity. Overall, shoreline modification plays a critical role in regulating tidal hydrodynamic processes, providing important implications for coastal engineering and aquaculture management. Full article

Background: Postmenopausal osteoporosis is associated with cellular senescence and the accumulation of the senescence-associated secretory phenotype (SASP). While mesenchymal stem cell (MSC)-derived exosomes show tissue repair potential, the efficacy and mechanisms of MSC-derived apoptotic vesicles (apoVs) remain unclear. This study compared MSC-apoVs and exosomes in postmenopausal osteoporosis and investigated the underlying epigenetic mechanisms. Methods: Therapeutic efficacy was evaluated in an ovariectomized (OVX) mouse model and senescent human bone marrow mesenchymal stem cells (hBMMSCs). Small RNA sequencing identified differential microRNA (miRNA) cargos between vesicle types. SASP-related cytokine expression (IL-6, TNF-α, MCP-1) and pathway activation were assessed by RT-qPCR, ELISA, and Western blot. Results: MSC-apoV treatment attenuated bone loss in OVX mice and reduced SASP expression in senescent hBMMSCs to a greater extent than exosomes. Small RNA sequencing revealed that apoVs were enriched with a specific miRNA cluster, including hsa-let-7b-5p, hsa-miR-92a-3p, and hsa-miR-98-5p. Bioinformatic analyses identified BRAF and CRKL as downstream targets of this miRNA cluster, supported by reduced protein levels after apoV treatment. Subsequent molecular assays showed that apoV treatment inhibited the phosphorylation of both the MAPK (p38 and JNK) and NF-κB (p65) signaling pathways, which correlated with reduced local inflammation in the bone marrow microenvironment and preserved osteogenic differentiation capacity. Conclusions: MSC-apoVs attenuate postmenopausal osteoporosis more effectively than exosomes. This enhanced efficacy is associated with the delivery of an enriched miRNA cluster that inhibits MAPK and NF-κB signaling, together with suppression of BRAF and CRKL protein expression. ApoVs may represent a cell-free therapeutic strategy for age-related bone loss. Full article

This paper presents a performance evaluation of next-generation sodium-ion cells employing Sodium Iron Pyrophosphate (NFPP) chemistry, which is now commercially available. Building on prior research into early-generation SiB technologies, the study investigates NFPP cells under varied operating conditions, including high and low temperatures, extreme C-rate discharge, and zero-volt storage. Results indicate that NFPP cells deliver exceptional high-power capability, sustaining continuous discharge rates up to 30C without degradation, and they exhibit strong thermal stability at elevated temperatures. While safety features such as zero-volt tolerance remain intact, low-temperature operation continues to pose challenges, particularly for charging, with irreversible capacity loss observed when exceeding manufacturer specifications. Despite a relatively low energy density (~79.75 Wh/kg), NFPP cells demonstrate significant potential for high-power applications requiring reliability and safety in harsh environments. These findings position NFPP chemistry as a critical step toward advancing sodium-ion technology for specialised energy storage solutions. Full article

High-resolution images of non-cooperative spacecraft are essential for on-board autonomous operations. Hardware bandwidth limits and continuously changing observation distances mean that a practical super-resolution (SR) system must handle arbitrary, non-integer magnification factors without retraining, a setting known as arbitrary-scale SR (ASSR). Recent 2D Gaussian splatting (2DGS) methods represent image content with explicit anisotropic Gaussian primitives and render at any continuous coordinate, offering substantially faster inference than implicit neural representation (INR) approaches. Yet spacecraft imagery presents a structural mismatch for uniform 2DGS regression: the target occupies a small, densely structured region within a vast, featureless deep-space background, so a network that minimizes average reconstruction loss inevitably over-invests capacity in the irrelevant background and smears the fine edges of antennas and solar panels. We propose S³R-GS, a saliency-guided framework that embeds semantic spatial priors into the 2DGS pipeline at three levels: an encoder-level module that suppresses background noise before it reaches the splatting stage; a discrete Gaussian routing mechanism that assigns each spatial location to a semantically appropriate kernel group and reformulates Gaussian modeling as semantic prototype selection; and a saliency-weighted training strategy that concentrates the optimization gradient on the spacecraft target. Experiments on the SPEED and SPEED+ benchmarks show that S³R-GS achieves strong PSNR performance, competitive SSIM, and improved perceptual quality across scale factors from $\times 2$ to $\times 12$; additional ablation, extreme-lighting, and efficiency analyses further support the robustness and practicality of the proposed design. Full article

Background/Objectives: As a global chromatin organizer, SATB1 is increasingly implicated in neurodevelopmental disorders (NDDs). This study aims to delineate the clinical and molecular characteristics of a novel de novo SATB1 variant in a patient presenting with epilepsy-dominant NDDs phenotypes. Methods: Triggered by the onset of seizures, trio-based whole-exome sequencing (Trio-WES) was performed to identify the genetic etiology. Subsequent sleep electroencephalogram (EEG) and magnetic resonance imaging (MRI) were then conducted to further characterize the patient’s clinical phenotypes. Pathogenicity was assessed through structural modeling and functional characterization. Nonsense-mediated mRNA decay (NMD) status, protein expression profiles, and subcellular localization were determined by reverse-transcription quantitative PCR (RT-qPCR), Western blotting, and immunofluorescence staining. The transcriptional regulatory impacts of the variant were quantified using dual-luciferase reporter system targeting known downstream regulatory elements. Clinical responses to antiepileptic intervention was also monitored. Results: We identified a novel de novo heterozygous pathogenic frameshift variant in SATB1 (NM_002971.5: c.1718_1719insCA; p.Val574Argfs*134) in a patient presenting with early-onset epilepsy, mild intellectual developmental disorder (IDD), speech delay, and dental anomalies. Functional assays demonstrated that the variant-derived transcript escaping NMD, yielding a truncated protein that forms irregular punctate aggregates within nuclei. Dual-luciferase assays revealed significantly increased transcriptional activity, indicating a loss of the protein’s innate transcriptional regulatory capacity. Clinically, treatment with sodium valproate (VPA) successfully stabilized seizures of the patient, markedly reducing both frequency and intensity. Conclusions: The study reports a novel SATB1 frameshift variant that exerts pathogenicity significant functional impairment by disrupting protein localization and transcriptional regulation. These findings expand the genetic spectrum of SATB1-related NDDs and underscore the efficacy of targeted antiepileptic management in genetic diseases. Full article

Improving the water-holding capacity (WHC) during the processing of rabbit meat can effectively enhance the texture of the final product, but it remains a practical challenge. This study aims to develop an ultrasound-assisted curdlan curing strategy to reduce the water loss of rabbit meat during the processing. Herein, the water retention performance, myofibrillar protein (MP) structure, and processing adaptability of rabbit meat as affected by the ultrasound-assisted curdlan curing treatment were investigated. Compared with the control group, ultrasound-assisted curdlan treatment increased WHC by 14.0% and reduced cooking loss by 15.4%. Moreover, this combined treatment showed significantly higher WHC and lower cooking loss than curdlan or ultrasound treatment alone (p < 0.05). Moreover, the ultrasound-assisted curdlan curing resulted in higher ultraviolet absorption and fluorescence intensity of myofibrillar proteins (MPs) in rabbit meat, but the intensity of the main protein band observed in SDS-PAGE was lower. Furthermore, the rabbit meat treated with the ultrasound-assisted curdlan curing maintains the highest water content (75.2% for steaming, 74.7% for boiling, 74.4% for microwaving, 70.1% for roasting, and 71.8% for air-frying) under various thermal processing methods. Therefore, the ultrasound-assisted curdlan curing offers a feasible route to improve water retention in rabbit meat, providing an applicable basis for reducing water loss in meat production. Full article

Low levels of high-density lipoprotein cholesterol (HDL-C) are strongly associated with increased cardiovascular risk. However, under various pathological conditions, high-density lipoprotein (HDL) particles may undergo structural and functional modifications, leading to a progressive loss of antioxidant capacity and a shift from a cardioprotective to a proatherogenic phenotype. In this cross-sectional study, we investigated differences in HDL particle distribution and antioxidant function between individuals with elevated lipoprotein(a) [Lp(a)] levels (≥30 mg/dL) and those with low Lp(a) levels (<10 mg/dL). Serum low-density lipoprotein (LDL) and HDL subfractions were analyzed in twenty subjects with high Lp(a) and ten low-Lp(a) controls using non-denaturing polyacrylamide gel electrophoresis (PAGE, Lipoprint system). Enzymatic activities of paraoxonase-1 (PON1) and HDL-associated lipoprotein-associated phospholipase A₂ (HDL-Lp-PLA₂) were measured. Electrophoretic analysis revealed a significant increase in small HDL (S-HDL) in the high-Lp(a) group compared to the controls (34.1 ± 13.2% vs. 21.5 ± 2.7%, p = 0.01), alongside a reduction in large HDL (L-HDL) (19.6 ± 9.9% vs. 33.4 ± 3.8%, p < 0.001). Furthermore, the high Lp(a) group exhibited significantly lower HDL-PON1 activity (55 ± 12 vs. 67 ± 7 U/mL, p < 0.001) and HDL-Lp-PLA₂ activity (2.6 ± 1.0 vs. 3.6 ± 1.2 nmol/min/mL, p < 0.02) compared with the controls. These findings suggest that markedly elevated Lp(a) levels are associated with a shift toward a more proatherogenic HDL subfraction profile and impaired antioxidant functionality, which may reflect mechanisms linked to increased atherosclerotic cardiovascular disease (ASCVD) risk. Full article

The rapid electrification of road transport has increased interest in distributed energy strategies that reduce grid demand and support decarbonization. Vehicle-integrated photovoltaics (VIPV), including vehicle-applied photovoltaic configurations (VAPV), can generate electricity directly on the vehicle. This systematic review examines peer-reviewed VIPV literature published between 2015 and 2026, focusing on the distinction between theoretical photovoltaic generation and practically usable energy. A Scopus search conducted on 2 May 2026 identified 196 records, of which 88 studies were included after screening against predefined criteria. Due to heterogeneity in vehicle types, climates, technologies, modeling assumptions, and reported metrics, no meta-analysis was performed. Instead, the review applies a multi-layered framework covering climate, geometry, thermal effects, electrical mismatch, battery state-of-charge interactions, fleet-scale modeling, economics, and life-cycle implications. The evidence shows that VIPV is technically feasible and can deliver measurable energy yields, especially in high-irradiance regions and vehicles with favorable daytime parking exposure. However, useful contribution depends strongly on curvature losses, dynamic shading, electrical configuration, SOC limits, charging behavior, seasonality, and vehicle energy demand. Therefore, VIPV is best understood as a context-dependent supplementary energy strategy rather than a transformative standalone solution. Its strongest value lies in specific vehicle classes, climates, and usage patterns where on-board generation can reduce charging demand, support operational resilience, or improve distributed self-consumption. The review also proposes minimum reporting requirements for future studies, including annual energy yield, Wh/km contribution, PV area or capacity, mileage assumptions, SOC modeling, and curtailment treatment. The review was not formally registered, and no formal risk-of-bias or certainty assessment was applied. Full article

Prestress loss and bi-directional prestress effects are critical design parameters that determine the bearing capacity of large-span U-shaped aqueducts. Based on a 42 m span simply supported U-shaped aqueduct, the pipeline friction coefficients were tested through least-squares fitting and validated against a finite element analysis model. The results revealed pipeline friction induced 4.82–5.08% longitudinal and 35.84–39.23% circumferential prestress loss, with 12-month post-tensioning monitoring showing 9.84% (longitudinal) and 3.15% (circumferential) long-term loss. Maximum concrete compressive stresses reached 5.83 MPa (inner wall) and 7.14 MPa (outer wall) under empty groove conditions. Six prestress tensioning sequences were numerically compared to identify the optimal “both ends to center” circumferential tensioning scheme. The prestressed tendon layout was optimized by increasing circumferential tendon spacing from 40 cm to 60 cm while maintaining global compression. This research provides a systematic framework for prestress optimization in curved concrete structures. Full article

Addressing the challenges of topological design and the limitations of global optimization for large-scale photovoltaic (PV) plants in complex terrains, this paper proposes a topology optimization method based on mixed-integer linear programming (MILP). The innovation of the proposed method lies in its use of a MILP framework to integrate complex terrain modeling, quantification of construction difficulty, and coordinated configuration of conductor cross-sections into a single equivalent annual cost optimization model. First, equivalent mathematical models tailored to diverse environmental features—including flat, mountainous, and hilly terrains—are developed to enable accurate spatial identification. Second, aimed at minimizing the total equivalent annual cost (EAC), a MILP model is formulated. This model comprehensively incorporates physical construction difficulties and strict electrical constraints, such as active power flow balance, cable current-carrying capacity, and node voltage deviations. A high-performance solver is then utilized to achieve global optimization for radial topologies. Furthermore, the cross-sectional areas of the conductors are dynamically configured to compensate for power quality losses caused by path detours. Case studies demonstrate that the proposed method significantly reduces the EAC and enhances the overall economic benefits of PV plants while ensuring strict electrical safety across various complex environments. Full article

Decidualization in the human endometrium is not merely a hormone-dependent differentiation process; rather, it represents a multilayered adaptive program characterized by the tight integration of immune regulation, metabolic reprogramming, and cellular stress responses. In this review, endoplasmic reticulum (ER) stress and the associated unfolded protein response (UPR) are proposed as central regulatory mechanisms governing this process. Triggered by increased protein synthesis and secretory demand, UPR activation under physiological conditions preserves proteostasis and supports the secretory capacity of stromal cells. In contrast, chronic or dysregulated activation leads to a maladaptive response characterized by apoptosis, inflammation, and metabolic dysfunction. UPR signaling pathways shape immune tolerance through their effects on macrophage polarization, uterine natural killer (uNK) cell function, and T cell balance. At the metabolic level, adenosine monophosphate-activated protein kinase (AMPK) regulates cellular adaptation through bidirectional interactions with mitochondrial function and redox homeostasis. Within this framework, the ER stress–immune–metabolic axis operates not as a linear pathway but as a dynamic network incorporating multiple feedback loops, thereby constituting a critical threshold mechanism that determines the success of decidualization. Disruption of this axis provides a shared mechanistic basis for pathologies such as recurrent implantation failure, pregnancy loss, and preeclampsia. From a therapeutic perspective, agents including chemical chaperones, UPR modulators, AMPK activators, and anti-inflammatory compounds hold translational potential by targeting these pathological feedback circuits. However, key knowledge gaps remain, particularly regarding the cell type-specific and temporal regulation of ER stress, the molecular boundaries defining the transition from adaptive to pathological states, and interspecies differences. Future studies employing single-cell omics approaches and functional in vivo models will be essential to elucidate the dynamic organization of this axis and to enable the development of targeted and personalized therapeutic strategies. Full article

Cardiovascular diseases remain the leading cause of mortality in developed countries. Among these conditions, acute myocardial infarction (AMI) is associated with particularly high rates of cardiac morbidity and mortality. Cardiac development in mammals is primarily dependent on cardiomyocyte (CM) proliferation during embryonic and early postnatal stages. However, following birth, the proliferative capacity of CMs declines markedly, with only limited cellular renewal occurring during adult life in response to pathological injury. Consequently, the irreversible loss of functional cardiomyocytes and the subsequent formation of fibrotic scar tissue frequently lead to persistent cardiac dysfunction and progressive impairment of cardiac physiology. Cardiomyocyte self-renewal is a tightly regulated process involving multiple molecular pathways. Among factors implicated in this regulation, microRNAs (miRNAs) have emerged as key modulators coordinating both cardiac development and tissue repair mechanisms. In this context, extracellular vesicles (EVs) have attracted considerable interest as potential modulators of these regenerative processes. In particular, mesenchymal stromal cells (MSCs) represent a promising therapeutic platform due to their immunomodulatory and anti-fibrotic properties demonstrated across multiple in vitro and in vivo models. Furthermore, the therapeutic potential of MSC-derived EVs can be enhanced through bioengineering approaches aimed at improving targeted molecular delivery. In this review, we summarize recent advances in the development and application of EV-based therapeutic strategies, with particular emphasis on their potential use as advanced therapy medicinal products (ATMPs) for cardiovascular regeneration and repair. Full article