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This study aimed to evaluate the effect of theaflavins [TFs] on the process of dentin erosion and investigation the potential mechanism. For erosion kinetics of the dentin, 7 experimental groups (n = 5) treated with 10% ethanol [EtOH] (negative control) are erosion for 1, 2, 3, 4, 5, 6, and 7 d erosion cycles (4 cycles/d). For the effect of TFs on dentin erosion, 6 experimental groups (n = 5) were treated with 1% epigallocatechin gallate [EGCG], 1% chlorhexidine [CHX], 1%, 2%, 4%, and 8% TFs for the 30 s and then subjected to erosion cycles (4 cycles/d for 7 d). The erosive dentin wear (μm) and surface morphology were evaluated and compared by laser scanning confocal microscope and scanning electron microscopy. The matrix metalloproteinase inhibition effects of TFs were investigated using in situ zymography and molecular docking. TFs-treated collagen was investigated by ultimate microtensile strength, Fourier-transform infrared spectroscopy, and molecular docking. Data were analyzed by ANOVA, Tukey’s test ( P  < 0.05). The TFs-treated groups (7.56 ± 0.39, 5.29 ± 0.61, 3.28 ± 0.33, and 2.62 ± 0.99 μm for 1%, 2%, 4%, and 8% TFs) had significantly lower erosive dentin wear than the negative control group (11.23 ± 0.82 μm), and the effect was concentration-dependent at low concentrations ( P  < 0.05). TFs inhibit matrix metalloproteinase [MMP]. Moreover, TFs crosslink dentin collagen and cause hydrophilic changes in dentin collagen. TFs preserve organic matrix within the demineralized dentin by inhibiting MMP activity and simultaneously improving collagen’s resistance to enzymes, both of which contribute to preventing or slowing down the progression of dentin erosion.

With the increasing complexity of space missions, the accuracy and efficiency of orbital maneuver planning have become crucial. This paper proposes an analytical derivation-based method for generating orbital maneuver solution sets to address the maneuver planning problem for spacecraft on-orbit services under J2 perturbation. By establishing an analytical relative motion model corrected for J2 perturbation, this method enables the rapid generation of maneuver solution sets that satisfy multiple constraints, providing diverse options for the initial mission planning phase. Simulation validation demonstrates that the method maintains good applicability across mission scenarios at different orbital altitudes. The generated solution sets not only enhance the flexibility of orbital maneuver planning but also provide a quantitative basis for optimizing the selection of mission timing windows, holding certain application value in scenarios such as space debris removal and on-orbit maintenance services.

Hepatocellular carcinoma (HCC) is among the most common malignancies worldwide and is characterized by high rates of morbidity and mortality, posing a serious threat to human health. Interventional embolization therapy is the main treatment against middle- and late-stage liver cancer, but its efficacy is limited by the performance of embolism, hence the new embolic materials have provided hope to the inoperable patients. Especially, hydrogel materials with high embolization strength, appropriate viscosity, reliable security and multifunctionality are widely used as embolic materials, and can improve the efficacy of interventional therapy. In this review, we have described the status of research on hydrogels and challenges in the field of HCC therapy. First, various preparation methods of hydrogels through different cross-linking methods are introduced, then the functions of hydrogels related to HCC are summarized, including different HCC therapies, various imaging techniques, in vitro 3D models, and the shortcomings and prospects of the proposed applications are discussed in relation to HCC. We hope that this review is informative for readers interested in multifunctional hydrogels and will help researchers develop more novel embolic materials for interventional therapy of HCC. Graphical Abstract

Background Vascular cognitive impairment (VCI) is a significant contributor to dementia, yet the precise mechanisms underlying the cognitive decline associated with chronic cerebral hypoperfusion (CCH) remain unclear. This study investigated the molecular and epigenetic changes in the striatum, a brain region critical for motor function and cognition, following chronic hypoperfusion using a bilateral common carotid artery stenosis (BCAS) model in mice. Methods RNA-seq was utilized to identify differentially expressed genes (DEGs) associated with hypoperfusion. In parallel, ATAC-seq was used to assess changes in chromatin accessibility within the striatum, providing insight into the epigenome and potential regulatory mechanisms. The integration of these datasets allowed us to correlate chromatin accessibility with transcriptional activity and to identify key transcription factors driving the observed gene expression changes. Results Analysis of striatum-specific transcriptome revealed significant upregulation of immune response genes, particularly type II interferon signaling, and downregulation of neural activation pathways. Analysis of striatum-specific epigenome showed increased chromatin accessibility at promoters of immune-related genes. Integrated analysis highlighted PU.1 as a key transcription factor in upregulated pathways, while neural pathways lacked epigenetic regulation, revealing distinct molecular responses in the striatum following chronic hypoperfusion. Conclusions Our findings indicate that upregulated pathways in the striatum following BCAS-induced CCH are driven by epigenetic changes, while downregulated pathways occur independently of these modifications. Additionally, PU.1 plays a critical role in mediating immune responses, offering a potential target for therapeutic intervention.

Background and Objectives: The popularity of takeaway has caused health problems. To analyse the basic nutrients and composition of popular takeaway meals in Chengdu, China. Methods and Study Design: We randomly collected 105 takeaway meals from takeaway platforms. The quality of ingredients such as grains, vegetables, and meat were assessed and weighed. The samples were then homogenised, and the nutrients were detected following the AOAC Official Methods of Analysis. Results: Compared with Chinese and US dietary reference intakes, the average energy, protein, salt, fat, vitamin, and available carbohydrate contents exceeded dietary recommendations for one takeaway meal. By contrast, the whole grain, vegetable, fruit, dairy product, egg, mineral, and dietary fibre contents were insufficient. Food compositions and basic nutrients differed among takeaway meals prepared with various cooking methods and meats. Fried rice had the lowest nutritional value. The fried dish set meal had high energy density. The nutrient content of poultry takeaway meals was more balanced compared with other meals assessed, and salt and fat were excessive in mixed meat meals. In addition, meatless takeaway meals tended to have high fat content because of excess vegetable oil added for better taste. Conclusions: Takeaway meals should have lower contents of energy, fat, carbohydrate, and salt and higher contents of whole grains, vegetables, fruits, dairy products, and eggs. Attention should be paid to the high energy density of the fried dish set meal to prevent resultant health problems such as obesity. Consumers, takeaway outlets, and government agencies need to work together to address the health problems.

Accurate tree species mapping is critical for forest inventory, biodiversity assessment, and ecosystem management. In mountainous regions, terrain-induced radiometric non-stationarity and limited field access often produce scarce, clustered, and environmentally biased samples, limiting model generalization. To address this issue, this study proposes a terrain-aware self-supervised representation learning framework for tree species classification under small-sample conditions. The framework integrates terrain information into representation learning and adopts a hybrid contrastive–generative self-supervised strategy to learn discriminative and terrain-robust features from large volumes of unlabeled multi-source remote sensing data. These learned representations are subsequently combined with limited field samples to produce regional-scale tree species maps. Experiments conducted across Yunnan Province, China, using Sentinel-1, Sentinel-2 and Landsat time-series data show that the proposed framework substantially improvesa class separability and classification robustness in complex mountainous environments. The framework achieves an overall accuracy of 75.8%, significantly outperforming conventional feature engineering (38.3–40.6%) and supervised deep learning models (37.3–47.8%). Species with relatively homogeneous structure and strong ecological niche dependence can be accurately mapped with limited training samples, whereas structurally complex forest communities require broader environmental sample coverage. Overall, the results highlight the potential of terrain-aware self-supervised representation learning as a scalable and data-efficient paradigm for forest mapping in mountainous and environmentally heterogeneous regions.

This study investigated the molecular mechanisms underlying grain size variation between two distinct naked barley varieties using comprehensive phenotypic and transcriptomic (RNA-Seq) analyses. In this study, we employed a comparative transcriptomics approach to analyze two naked barley varieties: the large-grained Shenglibai and the small-grained Lalu Qingke. Our investigation focused on three critical developmental periods of grain growth (early, mid, and late grain-filling periods). By integrating longitudinal three-dimensional phenotypic data with temporal expression profiles and applying weighted gene co-expression network analysis (WGCNA), we successfully identified gene modules that co-vary with morphological expansion. Phenotypic assessments revealed that grains underwent rapid expansion during the filling period, with significant differences in grain width (GW) and thickness (GT) across all three developmental periods. In contrast, grain length (GL) remained relatively consistent by the end of the filling period. Transcriptome sequencing identified a peak in differentially expressed genes (DEGs) during the mid-filling period, indicating that the regulation of grain size development is most active in the early and mid-filling phases. WGCNA identified a blue module strongly correlated with grain size, which was significantly enriched in key metabolic pathways, including starch and sucrose metabolism. Further analysis identified seven hub genes, among which exhibited pronounced upregulation in large-grain varieties during the mid-to-late filling periods, closely aligning with the observed phenotypic traits. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) validation confirmed the period-specific and variety-specific expression patterns of these genes, further supporting the potential of these genes as targets for improving grain size in breeding.

The artificial ground freezing method has been widely used in shield tunneling breakthrough working shafts. The freezing effect was mainly considered in the previous research, and the heat generation of the shield machine was not considered, which has great influence in actual engineering. In this paper, a coupling calculation model, considering phase change latent heat, is establishes that by containing the freezing process and heat generation of the shield machine, the model is verified. A numerical simulation is carried out for several working conditions that may occur in actual projects, and the following conclusions are obtained. Although the heat dissipated by the normal tunneling of the shield machine will melt the frozen soil curtain that originally meets the design requirements, the thickness of the frozen soil curtain after melting cannot reach the initial design, though it is still within the safe range. In the process of a continuous rotation working condition, the bottom and sides of a cup-shaped frozen soil curtain are partially melted in the early 6 day stay of the shield machine, and the thickness is reduced to a relatively stable value of 0.8 m. In a temporary shutdown working condition, when the contact surface temperature between the shield machine shell and the frozen soil drops to −12 °C after almost 4 days of shutdown, the shield machine may not keep tunneling forward due to the freezing effect. The research results will benefit the freezing design and management of the shield tunneling breakthrough working shaft under extreme conditions.

In the study, an equiatomic CoCrNiCuZn high-entropy alloy (HEA) was prepared by mechanical alloying (MA) and the phases, microstructures, and thermal properties of the alloy powder were explored. The results suggest that a solid solution with body-centered cubic (BCC) phase and a crystalline size of 10 nm formed after 60 h of milling. Subsequently, the alloy powder was consolidated by spark plasma sintering (SPS) at different temperatures (600 °C, 700 °C, 800 °C, and 900 °C). Two kinds of face-centered cubic (FCC) phases co-existed in the as-sintered samples. Besides, Vickers hardness and compressive strength of the consolidated alloy sintered at 900 °C were respectively 615 HV and 2121 MPa, indicating excellent mechanical properties.

Polymyxin antibiotics are often the last line of defense against multidrug-resistant Gram-negative pathogens. A key resistance mechanism involves the addition of 4-amino-4-deoxy-L-arabinose (L-Ara4N) to lipid A, mediated by the bifunctional enzyme ArnA. However, the evolutionary rationale and structural basis for ArnA’s domain fusion, hexameric assembly, and catalytic coordination remain mechanistically unresolved. Here, we integrate evolutionary genomics, high-resolution cryo-electron microscopy (cryo-EM), and computational protein design to provide a comprehensive mechanistic analysis of ArnA. Our evolutionary analysis reveals that the dehydrogenase (DH) and formyltransferase (TF) domains evolved independently and were selectively fused in Gammaproteobacteria, suggesting an adaptive advantage. A 2.89 Å cryo-EM structure of apo-ArnA resolves the flexible interdomain linker and reveals a DH-driven hexameric architecture essential for enzymatic activity. 3D variability analysis captures intrinsic conformational dynamics, indicating a molecular switch that may coordinate sequential catalysis and substrate channeling. Structure-based peptide inhibitors targeting the hexamerization and predicted ArnA–ArnB interaction interfaces were computationally designed, offering a novel strategy for disrupting L-Ara4N biosynthesis. These findings illuminate a previously uncharacterized structural mechanism of antimicrobial resistance and lay the groundwork for therapeutic intervention.