Ningbo University

Psychometric utility-preserving embedding debiasing (PUPD): A dynamic framework for bias-aware and culturally inclusive language models

Abstract Psychometric Utility-Preserving Embedding Debiasing (PUPD) is proposed as a dynamic framework for bias-aware and culturally inclusive language models that explicitly balances bias mitigation with semantic utility preservation. Conventional debiasing methods often disrupt...

Research on the Impact of Corporate ESG on Promoting Common Prosperity—Empirical Evidence from Chinese A-share Listed Companies 2011-2023

Using data on Chinese A-share listed companies from 2011 to 2023, this paper examines the relationship between ESG and common prosperity at the firm level. From a theoretical perspective, corporate ESG activities can promote common prosperity through two channels: first, by impro...

Research on the Impact of Corporate ESG on Promoting Common Prosperity—Empirical Evidence from Chinese A-share Listed Companies 2011-2023

Using data on Chinese A-share listed companies from 2011 to 2023, this paper examines the relationship between ESG and common prosperity at the firm level. From a theoretical perspective, corporate ESG activities can promote common prosperity through two channels: first, by impro...

Modeling Nonlinear and Time-Varying Price Discovery: A Novel Granger Causality Framework Based on Distributional Forecasting

The price-leadership relationship between stock index futures and spot markets is crucial for assessing market efficiency and implementing risk management. Traditional Granger causality tests based on conditional methods cannot capture their nonlinear and time-varying characteris...

Electron-Reservoir Multiple Bond in RhC– for Dinitrogen Cleavage

Abstract Multiple bonds involving the main-group element represent a prominent class of interactions whose formation and cleavage involve substantial electron redistribution, yet its functional role in redox processes remains unexplored. Herein, we identify a triple-bond characte...

A novel heterogeneous coupled neuron network and its application in mechanical fault feature enhancement

In practical engineering, fault characteristic signals are often overwhelmed by strong background noise and complex working conditions, which poses a serious challenge for timely detection and accurate identification of faults. Therefore, a novel heterogeneous coupled neuron netw...

Joint capacity planning and dynamic allocation for container leasing with asymmetric substitution

Container leasing companies maintain a flexible container pool to meet short-term requests from committed customers and the spot market. However, capacity planning and container allocation are complicated by stochastic demand, container returns, and asymmetric substitution betwee...

Unveiling the Synergistic Mechanism of Hardness and Toughness Enhancement in HPHT-Synthesized WAlB

Abstract Balancing hardness and toughness in ceramics to ensure reliable performance under extreme conditions remains a central and actively pursued research challenge. Recently, layered boride MAB phases have attracted increasing attention due to their excellent combination of m...

Built Heritage Perception and Spatial Patterns of Tourist Affect in Dali Bai Autonomous Prefecture, China: A Social Media–Based Assessment

Against the backdrop of the concurrent processes of tourism development, spatial commercialisation, and architectural heritage conservation, identifying tourists’ cognitive images of destinations and differences in textual valence provides an important basis for evaluating the qu...

Microalgae Detection in Ship Ballast Water Based on YOLOv8 for Small-Object Detection

Conventional manual microscopic examination for ship ballast-water microalgae detection suffers from cumbersome classification procedures, subjective viability assessment, and low counting efficiency, making it difficult to accomplish multi-task detection simultaneously. To addre...

1D/3D Perovskite Heterostructure via Anion Engineering of Ionic Liquids for High‐Performance Lateral Photodetectors

ABSTRACT Organic‐inorganic hybrid perovskites (OIHPs) have emerged as attractive photoactive materials for next‐generation photodetectors (PDs) due to their facile solution processability and excellent optoelectronic properties. However, the practical applications of perovskite‐b...

Photothermal‐Modulated Electrohydrodynamic Jet Printing of Flexible and Recyclable Photocatalytic Devices for Visible‐Light‐Driven Water Purification

ABSTRACT Powder‐based heterojunction photocatalysts suffer from aggregation, difficult recovery, and secondary pollution, limiting their practical applications in water remediation. Here, we develop a photothermal‐modulated electrohydrodynamic jet printing (PME‐Jet) strategy assi...

Integrating ESG into remanufacturing: third-party model selection aligned with consumer eco-consciousness under the carbon cap-and-trade policy

As global efforts to reduce carbon emissions intensify, manufacturers face increasing pressure to integrate environmental sustainability into their supply chain strategies. Carbon cap-and-trade policies have become an important market-based mechanism for reducing emissions while...

Self-rectifying volatile memristor with ultrahigh rectification enabled by asymmetric oxide heterostructures

Volatile memristors hold promise for time-domain electronic functionalities beyond static memory, but their practical adoption is impeded by leakage currents, insufficient rectification, and unstable transient behaviors. Here, we report a self-rectifying volatile memristor based...

Comparative study on precision machining of tungsten alloy by femtosecond laser and water-jet guided laser

Tungsten alloys serve as core structural materials for high-end strategic sectors including aerospace infrastructure, nuclear power systems, and defense engineering due to their superior combined mechanical and thermophysical characteristics. However, their intrinsically high mel...

Stretchable and energy‐efficient neuromorphic devices based on ionic capacitance for robotic tactile recognition

Abstract Neuromorphic devices with learning and memory functions are critical for enabling human‐like tactile perception and interactive control in humanoid robots. However, existing neuromorphic platforms often struggle to reconcile mechanical flexibility with energy efficiency...

Electrochemical detection of eosin yellow dye and its adsorptive removal from wastewater

Abstract The environmental persistence and toxicity of Eosin Yellow (EY) dye demand sensitive detection and effective remediation approaches. Herein, we report a new dual function approach for the ultra-trace detection and removal of EY using modified glassy carbon electrode (GCE...

A Two-Layer Simulation-Based Optimization Framework for Coordinated Metro Rescheduling: Integrating Machine Learning Surrogates with Metaheuristics

Abstract Metro systems are prone to unplanned disruptions that can trigger cascading delays across the network, particularly when transfer stations are involved. Existing rescheduling approaches often treat the disrupted line in isolation or rely on indirect operational metrics (...

Metabolism-guided precision oncology in hepatocellular carcinoma: vascular, stromal and immune crosstalk

Hepatocellular carcinoma (HCC) is characterized by extensive metabolic reprogramming, aberrant angiogenesis, immune evasion, and frequent resistance to systemic therapy. This review aims to synthesize current evidence on tumor-stroma-vascular metabolic crosstalk in HCC and to eva...

Estimation of an average causal response function in a high-dimensional sample selection model with application to US Job Corps program

Average causal response function (ACRF) is a valuable tool for assessing treatment effects with dose functions, particularly in the presence of endogeneity. Motivated by the US Job Corps program, this paper studies the identification and estimation of an ACRF under sample selecti...