Geographical analysis of malignant tumor incidence and treatment in China.

Malignant tumors have a severe impact on both patients and their families, and the treatment of malignant tumors is a fundamental component of public health security. Therefore, the issue of malignant tumors is a significant focus in the construction of "Healthy China." There are notable spatial disparities in both the incidence and treatment of malignant tumors in China.

[Research progress on the regulation of Hippo -YAP signaling pathway in osteoarthritis].

Osteoarthritis (OA) is the most common degenerative joint disease. Its pathological process is related to inflammatory response, chondrocyte apoptosis, and cartilage degeneration. Hippo-yes-associate protein(YAP) signaling pathway plays an important role in mediating organ size and tissue homeostasis.

Repeatability and prognostic value of radiomic features: a study in esophageal cancer and nasopharyngeal carcinoma.

Objectives: To investigate whether radiomic features (RFs) repeatability and their prognostic value are study-specific.

Materials And Methods: This retrospective study included 234 esophageal cancer (EC) patients (contrast-enhanced computed tomography (CECT) and fluorine-18 fluorodeoxyglucose positron emission tomography (PET)), and 525 nasopharyngeal carcinoma (NPC) patients (CECT). Tumor, peritumor, and lymph node regions were defined as regions of interest.

The essential role of gut microbiota in dsRNA-mediated pest control of the phytophagous ladybird beetle, Henosepilachna vigintioctopunctata.

RNA interference (RNAi) has proven to be an effective measure in combating insect pests. RNA-based pesticides have already made their way to the market for pest control. We previously have demonstrated the pivotal role of gut microbiota in influencing the efficacy of RNAi against the leaf beetle Plagiodera versicolora (Coleoptera), a species highly susceptible to RNAi.

A Bayesian Maximum Entropy Fusion model for enhanced prediction and risk assessment of fluoride and arsenic contamination in groundwater.

In the central and western regions of Jilin Province, excessive groundwater extraction has resulted in elevated levels of fluoride (F) and arsenic (As) in drinking water. Prolonged exposure to these contaminants is linked to endemic health issues, including dental and skeletal fluorosis as well as chronic arsenic poisoning, posing significant risks to both environmental integrity and public health. Since traditional models lack prediction accuracy, this study aimed to construct a Bayesian Maximum Entropy Fusion (BMEF) integrating hard and soft data for improved prediction of F and As concentrations and probabilistic estimations of contamination risk.

In Vitro Evaluation of the Inhibitory Effects of Eculizumab and C1 Esterase Inhibitor on Human and Rhesus Monkey Complement.

Background: Complement inhibitors are important therapeutic drugs after xenotransplantation. However, it is still unclear whether the commonly used clinical complement inhibitors eculizumab and C1 esterase inhibitor (C1-INH) can effectively inhibit complement activation in nonhuman primates.

Methods: The anti-complement activities of eculizumab and C1-INH were evaluated using an in vitro model of normal human serum (NHS) or normal rhesus monkey serum (NRS)-mediated complement-dependent cytotoxicity (CDC), with an immortalized porcine aortic endothelial cell line (iPEC) as the target.

CAs-Net: A Channel-Aware Speech Network for Uyghur Speech Recognition.

This paper proposes a Channel-Aware Speech Network (CAs-Net) for low-resource speech recognition tasks, aiming to improve recognition performance for languages such as Uyghur under complex noisy conditions. The proposed model consists of two key components: (1) the Channel Rotation Module (CIM), which reconstructs each frame's channel vector into a spatial structure and applies a rotation operation to explicitly model the local structural relationships within the channel dimension, thereby enhancing the encoder's contextual modeling capability; and (2) the Multi-Scale Depthwise Convolution Module (MSDCM), integrated within the Transformer framework, which leverages multi-branch depthwise separable convolutions and a lightweight self-attention mechanism to jointly capture multi-scale temporal patterns, thus improving the model's perception of compact articulation and complex rhythmic structures. Experiments conducted on a real Uyghur speech recognition dataset demonstrate that CAs-Net achieves the best performance across multiple subsets, with an average Word Error Rate (WER) of 5.

Resident memory T cell development is gradual and shows AP-1 gene expression in mature cells.

Tissue-resident memory T (TRM) cells play a central role in immune responses across all barrier tissues after infection. However, the mechanisms that drive TRM differentiation and priming for their recall effector function remains unclear. In this study, we leveraged newly generated and publicly available single-cell RNA-seq data generated across 10 developmental time points to define features of CD8+ TRM across both skin and small-intestine intraepithelial lymphocytes (siIEL).

Inhibiting Pyk2/Src expression by miR-23b-3p suppressed liver cancer stem cell function and hepatic carcinoma progression.

Background: Liver cancer stem cells (LCSCs) are critical drivers of metastasis and chemoresistance in hepatocellular carcinoma (HCC). Proline-rich tyrosine kinase 2 (Pyk2) has been implicated in tumor progression, but its role in LCSC stemness and HCC malignancy remains unclear. This study explores the effects of Pyk2 and its regulation by miR-23b-3p on LCSC function and HCC progression.

Network analysis of core symptom changes in lung cancer survivors: a longitudinal study.

Purpose: To explore the dynamic changes and to identify core symptoms using network analysis in lung cancer survivors before, during, and after radiotherapy using a longitudinal approach.

Methods: This study recruited 234 lung cancer survivors from a prospective and longitudinal study in a tertiary cancer hospital of China from January 2023 to October 2024. M.

Mechanism of Astragalus Polysaccharide in Alleviating Bovine Mammary Fibrosis Through ROS/NLRP3 Inhibition and EMT Regulation.

Mastitis in dairy cows, typically caused by bacterial infection, is a common inflammatory condition of the mammary tissue that leads to fibrosis, adversely affecting cow health, milk production, and dairy product quality. Astragalus polysaccharide (APS) has shown effectiveness in alleviating inflammation and fibrosis in various organs. The study employed lipopolysaccharide (LPS) to induce fibrotic conditions in two experimental systems: MAC-T bovine mammary epithelial cells and Kunming mouse models.

Double-L Incision-Excision Method for Labia Minora Reduction: A New Perspective on Custom Flask Labiaplasty.

Background: Hypertrophy of the labia minora is a common condition in female vulvar deformities. This study introduces a modified wedge-shaped labiaplasty-the double-L incision-excision method-based on the principles of Custom Flask Labiaplasty. The method aims to enhance both the aesthetic and functional outcomes in labia minora reduction surgery.

Heterogeneous Dynamics in Shear Thickening Colloids Revealed by Intrinsic Heterodyne Correlation Spectroscopy.

Shear induced frictional networks have been proposed to be responsible for the emergence of discontinuous shear thickening (DST) in complex fluids. However, little experimental evidence exists to support this model directly. Here, using x-ray photon correlation spectroscopy (XPCS), we show the existence of an intrinsic heterodyne feature during shear cessation, which originates from the relative motion of mobile particles against an aggregated or jammed network induced by shear thickening.

Investigating Visual Perception of Degree Centrality in Graph Visualization.

Degree centrality (DC) is a widely used metric that measures node importance in data space. A node-link diagram is a commonly used graph visualization to help viewers identify important nodes in visual space. Previous graph perception studies largely concentrated on revealing perception principles in visual space.

Advances in bamboo genomics: Growth and development, stress tolerance, and genetic engineering.

Bamboo is a fast-growing and ecologically significant plant with immense economic value due to its applications in construction, textiles, and bioenergy. However, research on bamboo has been hindered by its long vegetative period, unpredictable flowering cycles, and challenges in genetic transformation. Recent developments in advanced sequencing and genetic engineering technologies have provided new insights into bamboo's evolutionary history, developmental biology, and stress resilience, paving the way for improved conservation and sustainable utilization.

Targeted Regulation of HSP70 by the ARP2/3 Complex in Mammary Epithelial Cells and Its Impact on Host Cell Apoptosis.

Mastitis is frequently triggered by the bacterial disruption of the epithelial cell barrier. The actin-related protein 2/3 complex (Arp2/3), a major endogenous protein involved in cytoskeletal regulation, plays a crucial role in preserving epithelial barrier integrity during inflammation; however, its specific role in mastitis progression remains unclear. This study aims to use lipopolysaccharide (LPS) to establish mammary alveolar cells-large T antigen cells (MAC-T is a bovine mammary epithelial cell line) and mouse models of mastitis, investigating the functional relationship between actin-related protein 2/3 complex subunits 3 (ARPC3) and 4 (ARPC4) and heat shock protein 70 (HSP70) during mammary epithelial cell inflammation and assessing its effects on apoptosis.

Mechanisms of plant acclimation to multiple abiotic stresses.

Plants frequently encounter a range of abiotic stresses and their combinations. Even though stresses rarely occur in isolation, research on plant stress resilience typically focuses on single environmental stressors. Plant responses to abiotic stress combinations are often distinct from corresponding individual stresses.

Cytochalasin B Mitigates the Inflammatory Response in Lipopolysaccharide-Induced Mastitis by Suppressing Both the ARPC3/ARPC4-Dependent Cytoskeletal Changes and the Association Between HSP70 and the NLRP3 Inflammasome.

Cow mastitis is a major challenge in dairy farming, significantly affecting both milk quality and cow health. Cytochalasin B (CB) is a fungal toxin and an actin cytoskeleton depolymerizing agent that exhibits anti-inflammatory and antitumor properties; however, its mechanism in cow mastitis remains unclear. In this study, we systematically evaluated the effects of CB on mastitis using an LPS-induced inflammation model in bovine mammary epithelial cells (MAC-T) and a mouse mastitis model.

Current status and prospects of computer vision-based attitude and deformation measurement applications in wind tunnels.

Computer vision-based model attitude and deformation measurement is essential in wind tunnel testing, offering benefits such as non-contact operation, automation, visualization, flexible configuration, and high near-field accuracy. However, the specific conditions of wind tunnel environments impose certain limitations on the practical applications of visual measurement techniques. In response to the intelligent demands of wind tunnel tests, this paper summarizes applications for model attitude and deformation measurement in wind tunnels.

Insights into a Novel and Efficient Microbial Nest System for Treating Pig Farm Wastewater.

A microbial nest system (MNS) represents a novel and efficient approach to treating solid-liquid mixtures from pig farming instead of the conventional method, which separates the solid and liquid at first using centrifugation before treating the solid and liquid. However, the key environmental factors influencing the efficiency of this system and the microbial structure are still not clear. This study aimed to elucidate the changes in an MNS considering physicochemical properties, spectral analysis, and correlations between microbial community structures and environmental factors during the treatment.

Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma.

Purpose: Existing prognostic staging systems depend on expensive manual extraction by pathologists, potentially overlooking latent patterns critical for prognosis, or use black-box deep learning models, limiting clinical acceptance. This study introduces a novel deep learning-assisted paradigm that complements existing approaches by generating interpretable, multi-view risk scores to stratify prognostic risk in hepatocellular carcinoma (HCC) patients.

Methods: 510 HCC patients were enrolled in an internal dataset (SYSUCC) as training and validation cohorts to develop the Hybrid Deep Score (HDS).

Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

Background: Periprosthetic joint infection leads to significant morbidity and mortality after total knee arthroplasty. Preoperative and perioperative risk prediction and assessment tools are lacking in Asia. This study developed the first machine learning model for individualized prediction of periprosthetic joint infection following primary total knee arthroplasty in this demographic.

Stable plastid transformation in kiwifruit ().

Unlabelled: Plastid transformation offers valuable benefits in plant biotechnology, such as high-level transgene expression and the absence of gene silencing. Here we describe the first protocol of a plastid transformation system for a woody vine (liana) kiwifruit (). The transgenic DNA carries a spectinomycin-resistance gene () cassette and a green fluorescent protein () reporter gene cassette, flanked by two adjacent kiwifruit plastid genome sequences, thereby allowing targeted insertion between the and genes.

Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy.

Bodyweight loss is a common occurrence in Nasopharyngeal Carcinoma (NPC) patients during Radiotherapy (RT). Previous studies found that the prognostic value of percentage weight loss (pWL) during RT is not credible. We aimed to develop a novel progression predictor surrogated to pWL by modelling all bodyweight records measured during the treatment interval.

In vitro Stability Study of a Panel of Commercial Antibodies at Physiological pH and Temperature as a Guide to Screen Biologic Candidate Molecules for the Potential Risk of In vivo Asparagine Deamidation and Activity Loss.

Objective: Biologic drug molecules such as antibodies are exposed to the physiological stress conditions of pH 7.4 and 37°C during their long circulation lifetime in vivo. The stress on biologic molecules in vivo is more severe compared to that under typical storage conditions of low pH formulation and cold temperature.