Jimei University

An interpretable large language model framework with the cokemaking-oriented prompt and fuzzy-enhanced explanation for coke quality prediction

Although many data-driven coke quality prediction models have been proposed, existing approaches primarily rely on structured data and fail to effectively utilize the large amount of accumulated domain knowledge, such as published technical reports and scientific literature in th...

Minimum Wages and Labor Shares: Evidence from China Employer–Employee Survey

While the labor income share has continued to decline globally, China has witnessed a notable rebound since 2010. This study investigates whether minimum-wage policy contributes to this reversal, using firm–worker matched data from the 2018 China Employer–Employee Survey. The ana...

Risk Transmission and Cascade Failures in Digital Economy Industrial Networks Under Emergency Impacts

With the background of emergencies and the digital economy industry as the core, this study collected data from China’s 2020 input-output table, used network analysis technology to establish digital economy industrial networks, analyzed the structural characteristics of industria...

The DTI-ALPS index covaries with regional thalamic tissue susceptibility rather than clinical severity in Parkinson’s disease: a cross-sectional multimodal MRI study

Abstract Background The diffusion tensor image analysis along the perivascular space (DTI-ALPS) index is widely used as a non-invasive proxy for glymphatic function, but its biological specificity is increasingly questioned. Its region of interest lies in white matter sharing tha...

Deep Learning-Based Monitoring of Photovoltaic Power Plant Expansion and Assessment of Albedo-Driven Shortwave Energy Changes

Large-scale photovoltaic (PV) power plants are expanding rapidly across arid desert regions, driving land-cover transformations and associated changes in surface properties. Most existing remote sensing studies focus primarily on mapping PV distribution, while quantitative assess...

Power-Deficit-Constrained Hierarchical Energy Management for Hydrogen–Electric Ships

To address power supply–demand mismatch in hydrogen–electric hybrid ships under load fluctuations, variations in energy states, and limited power-supply capability, this paper develops a power-deficit-constrained hierarchical energy-management strategy. Rather than directly deter...

Mechanisms underlying the anti-spoilage effects of plant extracts on postharvest mung bean sprouts

Plant extracts are commonly incorporated into the processing of agricultural products to exert preservative effects. However, the molecular mechanisms underlying their decay-inhibiting effects remain poorly understood. Identifying plant extracts with potent anti-spoilage activity...

Regional Water-Vapor Partial-Pressure Responses in Film-Laminated Hardshell Jackets: An Exploratory Randomized Crossover Wear Study

This exploratory study examined regional water-vapor accumulation in four commercial film-laminated hardshell jackets during a structured wear protocol. Three healthy men each completed one trial per jacket in a randomized crossover design at 20 ± 2 °C and 60 ± 4% relative humidi...

Polystyrene Microplastics Impair Intestinal Homeostasis in Juvenile Tachypleus tridentatus Through Oxidative Imbalance and Gut Microbiota Dysregulation

Microplastics (MPs) are ubiquitous marine pollutants that pose increasing ecological risks, yet their effects on intestinal physiology and gut microbial homeostasis during the juvenile developmental stages of Tachypleus tridentatus remain unclear. In this study, fifth- and sixth-...

From pre-service to sustained innovation: phased professional growth of exemplary rural PE teachers

Physical education (PE) teachers in rural China face unique challenges, often entering the profession through self-directed learning with limited institutional support. While existing stage-based models derive primarily from urban contexts, rural trajectories remain underexplored...

Predicting radiation esophagitis after lung cancer radiotherapy using dose-volume, radiomic and dosiomic features: an external validation study

Acute radiation esophagitis can interrupt thoracic radiotherapy, but it remains unclear whether image- and dose-derived features improve prediction beyond dose-volume histogram (DVH) metrics and retain their performance across institutions. We externally validated seven models ba...

Research on the relationship between mental health and physical health of college students: a retrospective cohort study

Abstract Background This study aims to examine the prospective associations between college students’ baseline psychological symptoms and their subsequent physical fitness outcomes to provide a scientific basis and practical reference for the formulation of mental health educatio...

Restoration of ancient Chinese paintings using GANs with multi-scale defect fusion architecture and multi-pooling enhanced spatial-channel attention

<title>Abstract</title> This study investigates the application of generative adversarial networks combined with multi-scale defect fusion architecture and multi-pooling enhanced channel–spatial in the restoration of ancient Chinese paintings. This approach addresses some challen...

Synergistic Optimization of Plasma-Sprayed Zirconia Coatings: Towards Ultra-High Hardness and Superior Wear Resistance

This study reported on the multi-objective optimization of atmospheric plasma spraying parameters for zirconia coatings by incorporating the response surface method with the desirability method, while simultaneously enhancing microhardness and reducing wear rates. The spraying va...

Comparative Study on Dynamic Mechanical Behavior and Power-Law Versus Johnson–Cook Constitutive Models of Quenched 42CrMo Steel

This study systematically investigates the dynamic mechanical behavior and constitutive modeling of low-temperature quenched and tempered 42CrMo steel under high-strain-rate and high-temperature conditions. Dynamic compression tests were performed using a split Hopkinson pressure...

Multi-Objective Optimization of Milling Process Parameters Using MOWOA and Comprehensive Performance Evaluation via AHP-TOPSIS

To achieve the multi-objective collaborative optimization of milling processes, orthogonal experiments are conducted to develop prediction models for vibration acceleration and milling force, and range analysis together with variance analysis are adopted to reveal the sensitivity...

Development and internal validation of a nomogram for predicting endometrial polyp recurrence after hysteroscopic polypectomy

Endometrial polyps (EP) are common, and hysteroscopic polypectomy is the reference treatment, but recurrence is frequent. This study aimed to identify risk factors for recurrence and to develop and internally validate a nomogram for individual postoperative risk stratification. I...

Does cross-border regulatory cooperation reduce excessive risk-taking?

This study investigates how heightened regulatory scrutiny by the U.S. Securities and Exchange Commission (SEC), caused by the passage of the Multilateral Memorandum of Understanding (MMoU), affects excessive risk-taking by U.S. listed foreign firms. Using data from 37 countries...

UnravelingSulfur Vacancy Evolution Mechanism duringLow-Temperature H2 and S Vapor Annealing in Monolayer Mo(1– x )W x S2 Alloys

Abstract This study systematically modulated the healing and creation of S vacancies in monolayer Mo(1–x)WxS2 alloys via low-temperature H2 and S vapor annealing, observing three distinct types of photoluminescence (PL) evolutions. Type I featured intensified PL, a decreased X–/X...

MambaUNet: An Efficient U-Shaped State-Space Network for Underwater Image Enhancement

Underwater images are frequently degraded by wavelength-dependent absorption and scattering, resulting in color casts, low contrast, blurred textures, and loss of structural details. Existing enhancement networks may struggle to balance global context modeling, local detail recov...