Shaoxing University

Steel surface defect detection based on dynamic receptive field and multi-scale features fusion

Abstract Steel surface defect detection is vital for guaranteeing product quality in contemporary manufacturing. However, traditional steel surface defect detection algorithms often face challenges due to insufficient resilience in feature extraction under complex backgrounds. To...

Lotus (Nelumbo nucifera)-based co-culture systems reshape gut microbiota and enhance health and microbial stability in Chinese soft-shelled turtle (Pelodiscus sinensis)

Abstract Background The Chinese soft-shelled turtle ( Pelodiscus sinensis ) is a valuable aquaculture species in East/Southeast Asia; however, intensive farming has caused pathogen prevalence and antibiotic overuse, threatening sustainability. The gut microbiome plays a critical...

Evaluating the association between emotional intelligence, perceived support, and academic performance among nursing graduate students: a descriptive-correlational study

Nursing graduate education in Pakistan is increasingly recognized as pivotal for producing competent clinical leaders, educators, and researchers. However, the rigorous academic and clinical demands place immense psychological pressure on students, potentially compromising their...

Individualized inverse Gaussian process-based reliability modeling and optimal degradation test design for rubber V-belts

This study presents an individualized inverse Gaussian process-based reliability modeling and optimal degradation test design for rubber V-belts, addressing the high cost, long duration, and data scarcity of traditional reliability demonstration testing (RDT). Degradation experim...

Operational risk assessment for spinning frame tenders based on WMSD

Currently, the risk of work-related musculoskeletal disorders (WMSDs) in the textile industry is on the rise annually. Effectively assessing the risk of WMSDs caused by the operational behaviors of spinning frame tenders has become a critical issue demanding urgent resolution in...

Microscopic Dynamic Mechanisms of Surfactant-Induced Skin Irritation

Abstract Surfactants are essential components of detergents and personal care products due to their unique amphiphilic structure. However, the mechanism underlying surfactant-induced skin irritation remains unclear. This study systematically combined experiments with molecular dy...

Synergistic Enhancement of Luminescence Dissymmetry Factor and Quantum Yield via Hybrid Copper(I) Iodide Cluster and Cellulose Nanocrystal Bilayer Films

ABSTRACT Circularly polarized luminescence (CPL) has emerged as a cornerstone technology for next‐generation chiral photonic applications. However, a fundamental trade‐off between the luminescence dissymmetry factor ( g lum ) and photoluminescence quantum yield (PLQY) has remaine...

Theoretical Study on the Rheology-Driven Lubrication Synergy of Gel on Textured High-Entropy Alloy Coatings

This work is a theoretical study aimed to address the lubrication failure of Tom-Pac TP-2557 gel lubricant on the textured high-entropy alloy coatings (THEACs) under wide-temperature-range operating conditions; the rheological lubrication properties of the surface are investigate...

Deep learning-based methods for evaluating and optimizing teaching quality in higher education

The higher education sector continues to face significant challenges in ensuring consistent and objective teaching quality evaluation due to subjective assessment practices, non-standardized evaluation criteria, and limited real-time analytical feedback. Conventional statistical...

Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury

Background Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, with poor prognosis. Diabetes may further increase adverse outcomes through infection susceptibility, immune dysfunction, and renal vulnerability. However, mo...

UGGT1 mediates N-glycosylation of LGALS3BP to induce angiogenesis in liver cancer via the NOTCH signaling pathway

Abstract Background Liver cancer (LC) is one of the leading causes of cancer-related deaths worldwide. Its complex vascular regulatory network and drug resistance severely limit clinical efficacy. Although LGALS3BP is highly expressed in various malignant tumors, its biological f...

Deep knowledge tracking and course recommendation model for online education learners

Existing course recommendation models struggle to capture the dynamic evolution of learners’ interests, while traditional knowledge tracing methods miss long-term dependencies and neglect topic features and forgetting patterns in long interaction sequences. This study improves bo...

Chemical Mediation Mechanism Decouples Solid State Kinetics for High‐Power Aqueous Zn‐Co Batteries

ABSTRACT Solid state conversion electrodes are promising for aqueous energy storage but are frequently constrained by sluggish interfacial kinetics, leading to a persistent energy‐power trade‐off and underutilized capacity at high rates. Here we propose a chemical mediation strat...

Effects of Different Farming Models on Muscle Nutrients, Muscle Transcriptome and Intestinal Microbiota in Pelodiscus sinensis

Farming models profoundly influence the biological traits of aquatic organisms. This study compared muscle nutrients, muscle transcriptome, and gut microbiota of Pelodiscus sinensis reared under rice-field and pond conditions. Compared with the pond group (Group P), the rice-fiel...

Experimental Investigation on Mechanical Behavior of Sandstone Containing Two Non‐Coplanar Fissures Under Triaxial Monotonic and Multilevel Cyclic Loading

ABSTRACT Natural rock masses with complex fissures are frequently subjected to multilevel cyclic loading during underground engineering construction. The effect of fissure layout patterns and confining pressure on the fatigue mechanical behavior of fissured rocks remains poorly u...

Rational Design for Crosslinked and Pried‐Open Redox‐Active Graphene Electrode Materials and High‐Performance Supercapacitors

Developing high‐performance graphene‐based electrode materials through rational structural design remains a critical challenge for advanced supercapacitors. In this work, a unique molecule (DAPTO) featuring four carbonyl groups and a conjugated backbone was screened and successfu...

In vivo labeling–based proteomic analysis of early follicle oocytes and cisplatin-induced alterations in mice

Abstract A systematic proteomic profile of oocytes from early-stage follicles, particularly primordial follicles, is critical to protect female reproductive capacity in the context of chemotherapy, yet progress has been hindered by the rarity of oocyte samples and technical chall...

The impact of digital transformation on urban green and low-carbon transformation efficiency: evidence from a double machine learning approach

This study selected 279 Chinese cities as research samples and integrated double machine learning models, Gini coefficients, and standard deviation ellipses to systematically analyze the dynamic evolution of urban green and low-carbon transformation efficiency amid digital transf...

Hydrogen bonding: a double-edged sword in aqueous ammonium-ion batteries

Hydrogen bonding plays a double-edged role in ammonium-ion batteries, facilitating ion transport and flexible storage while inducing instability. Rational regulation of these interactions is crucial for achieving high-performance.

First-Principles Study of Cs2TlCoX6 (X = I, Br): Structural Stability, Electronic, Elastic, and Optoelectronic Properties

Abstract In this study, density functional theory (DFT) is employed to investigate the structural, electronic, and optical properties of the double perovskites Cs2TlCoX6 (X = I, Br). The crystal structures of these materials are optimized to evaluate their structural stability. T...