Zhejiang Gongshang University

Beyond the surface: A dual Lens on blog-mediated destination images

This study examines the explicit–implicit duality of blog-mediated destination images. It challenges three traditional assumptions: these images derive from a monolithic source, they are equally accessible, and they primarily concern first-time tourists. Using a mixed-methods des...

The impact of waste-to-energy incineration plants and its information disclosure on property values: evidence from Hangzhou, China

This study quantifies the negative externalities of waste-to-energy (WTE) incineration plants and evaluates the efficacy of information disclosure policies in Hangzhou, China. Using a novel compiled dataset on real estate transactions and construction information on WTE incinerat...

The double-edged sword effect of AI autonomy on tourists' continuance usage intention: Based on conservation of resources theory

Artificial intelligence (AI) empowers tourists by improving their decision-making efficiency, while simultaneously undermining their sense of autonomy and control, thereby producing disempowering effects. The pathways and mechanisms underlying these effects require in-depth explo...

How energy dependence becomes domestically acceptable in European countries: Legitimation of Russian energy use during the Russia–Ukraine war

The Russia–Ukraine war placed European countries before fundamental political and moral choices, compelling them to reconsider how to suspend, reduce, or manage their dependence on Russian oil and gas. These decisions were not simply technical responses to energy security concern...

Multimodal Trilemma GNN‐LLM‐XAI Framework Resolving Accuracy Transparency Comprehensibility in E‐Commerce Fraud Detection

ABSTRACT E‐commerce platforms face an escalating challenge from sophisticated financial fraud and cyberattacks, yet current detection systems suffer from a fundamental trilemma: achieving high detection accuracy, providing expert‐level transparency, and ensuring user comprehensib...

Multimodal Fusion‐Based POI Recommendation With Consumer Equilibrium Guidance

ABSTRACT Point of interest (POI) recommendation services have gained widespread adoption in various consumer fields. However, existing POI recommendation methods often neglect the intrinsic logic of consumer behaviors and multimodal data fusion analysis. To fill this research gap...

Inference and Prediction for the Burr XII Distribution Under A Generalized Type‐III Hybrid Censoring Scheme

ABSTRACT This paper introduces a generalized Type‐III hybrid censoring scheme for reliability data analysis. The scheme combines two failure‐number thresholds with two time limits, so that more failure information can be retained while the testing duration remains controlled. Und...

Gut Microbiota-Derived Indole-3-propionic Acid Attenuates Titanium Dioxide Nanoparticle-Induced Liver Injury by Targeting Kupffer Cells via the Gut–Liver Axis

Abstract Nanotitanium dioxide (nTiO2) is widely used as a food additive, leading to chronic dietary exposure and rising health concerns. Although adverse effects on the liver and gut microbiota have been individually investigated, whether gut microbiota mediates nTiO2-induced liv...

Artificial Intelligence-Driven Personalized Employment Guidance for College Students: Model Construction and Effectiveness Evaluation

This paper proposes an AI-empowered personalized employment guidance system integrating multi-modal deep learning, graph neural network-based collaborative filtering, and knowledge graph enhancement within an adaptive multi-algorithm fusion framework, addressing the limitations o...

A Reinforcement Learning-Based Framework for Personalized Career Recommendations Among College Students

Personalized career recommendations for university students require models that can capture evolving preferences and support long-term career-development decision-making. However, conventional matching-based approaches often struggle to effectively model temporal dynamics and int...

The impact of Trump 2.0 tariff policy on international trade: evidence from Chinese firms

The tariff policies implemented during Trump’s second term have introduced new pressures on the global trade system and heightened uncertainty in the international economic environment. First, we estimate the key parameters of the model using the simulated method of moments based...

High-dimensional claim severity modeling with misrepresentation adjustment via deep learning

Abstract In insurance underwriting, applicants may deliberately misrepresent certain risk factors to secure lower premiums. However, from the insurer’s perspective, verifying the true status of these risk factors is both time-consuming and resource-intensive. To address this chal...

Structural Control of Phthalate Toxicity in Agricultural Soil Biofilms: Aliphatic-Chain-Length-Driven Hazards Revealed by Field Evidence, Multiomics, and Quantum Chemical Analysis

Abstract Phthalates (PAEs) pose significant ecological risks in greenhouse soils because of their hydrophobicity and persistence. This study combined field survey, microcosm experiments, multiomics analysis profiling, and quantum chemical calculations to investigate how the aliph...

How emissions trading system inhibits carbon emission intensity: evidence from global carbon markets

As a market-based climate governance instrument integrating both incentives and constraints, the Emissions Trading System (ETS) has attracted considerable attention for its emission reduction effectiveness. Exploiting the global variation in ETS adoption across countries, this st...

Piezoelectricity Prompts Fenton Reaction Over a MoS 2 /N‐Doped Carbon‐Coated BaTiO 3 Core–Shell Heterojunction

ABSTRACT The conventional Fenton reaction has been identified as an effective approach for degrading heavy‐metal complexes; however, its practical application is hampered by issues such as iron sludge formation, low H 2 O 2 utilization efficiency, and consequently, limited degrad...

Prenatal exploratory model for gestational trophoblastic neoplasia after hydatidiform mole with a coexistent normal fetus: a retrospective cohort study

Hydatidiform mole with a coexistent normal fetus (HMCF) has a relatively high risk of developing gestational trophoblastic neoplasia (GTN), but no prenatal model is currently available to estimate GTN risk after HMCF. For these reasons, we developed a prenatal exploratory model f...

A system dynamics model shows how policy incentives and technological diffusion shape municipal solid waste treatment

Municipal solid waste treatment frequently suffers from structural imbalances because waste disposal institutions prioritize profit over environmental suitability. Policies are often developed in isolation, and technological diffusion is frequently overlooked in dynamic modeling....

Micro-video recommendation based on multi-dimensional sequence features in content e-commerce platform

Compared with traditional e-commerce platforms, content-based e-commerce has obvious advantages in commodity display, as it can present commodities more comprehensively, three-dimensionally and flexibly, providing better user service experience. However, the micro-video format of...

Methyl indole-3-acetate contributes to strain-specific anti-inflammatory effects of Lactiplantibacillus plantarum

Lactiplantibacillus plantarum is a widely recognized probiotic with anti-inflammatory potential, yet its efficacy varies among strains and the underlying determinants remain poorly defined. Here, we identify methyl indole-3-acetate (MIA), a previously uncharacterized microbial me...

NOM-optimized CNN-LSTM model for dynamic response prediction of a nonlinear piezoelectric energy harvester

As the strong nonlinearity and highly complex of piezoelectric energy harvesters (PEH), accurately predicting the dynamic response using mathematical models remains challenging. This study introduces a CNN-LSTM (Convolutional Neural Network, Long Short Term Memory) combined with...