Xi’an Jiaotong-Liverpool University

Coupling of wear sensor measurements with numerical modelling for grinding mill charge dynamics prediction

Accurate knowledge of charge dynamics in grinding mills is essential for optimising throughput, energy efficiency, and liner life. However, progressive liner wear continuously alters the internal geometry, making realtime charge prediction challenging. This article presents a nov...

Teaching beyond technology: student ratings of TPACK-informed teaching in a Sino-British transnational entrepreneurship programme

Purpose Technology plays an increasingly important role in entrepreneurship education, particularly within transnational higher education where culturally diverse classrooms require effective alignment of disciplinary content, pedagogy, and digital technologies. Despite the growi...

A research-led, competition-oriented teaching method for finite element analysis in solid mechanics

Traditional pedagogical approaches in mechanical engineering often suffer from a fragmentation between theoretical solid mechanics and Finite Element Analysis (FEA) simulations, limiting students’ ability to connect theories and simulations with physical behaviour. To address thi...

Pore Space Partition in Indolo[3,2- b ]carbazole-based Zr-MOF via Post-Synthetic Linker Installation for Enhanced Ethane/Ethylene Separation

Abstract The separation of ethane (C2H6)/ethylene (C2H4) by metal–organic frameworks (MOFs) depends largely on the pore environment. Here we construct a C2H6-selective mesoporous Zr-MOF, NUT-77, using indolo[3,2-b]carbazole-based tetracarboxylate ligands, and then apply post-synt...

Learning Challenges in Design Education and Barriers to Gamification Adoption

Abstract While gamification holds potential to address learning challenges in tertiary design education, research has focused mainly on student performance, with less attention to educators' role in implementation. This study addresses this gap by identifying learner‐level challe...

Green innovative service behaviour through contingent reward transactional leadership

Prior leadership research has largely focused on voluntary pro-environmental behaviour under inspirational leadership, leaving structured reward-based approaches to green service innovation underexplored. This study examines how green contingent reward transactional leadership (G...

DisasterScope: A Multi-Source Multimodal Dataset and Benchmark for Disaster Response and Severity Assessment

Disaster response often requires evidence from several sources, including satellite imagery, social media, news reports, audio and video recordings, and event metadata. Existing disaster datasets, however, usually focus on one source, a limited set of modalities or a single task....

Utilising urban energy structure as a carbon management strategy for carbon emissions mitigation and climate neutrality

Abstract Achieving urban carbon neutrality is critical to mitigating global warming and demands transformative regulation of carbon flows within urban energy systems. This study constructs an energy structure influencing factors (ESIF) evaluation system for urban energy structure...

Mechanical Regulation of Transient Receptor Potential Vanilloid 4 Function in Aging and Cardiovasculature Disease

Vascular aging is characterized by progressive deterioration of blood vessel structure and function and is associated with increased vascular stiffness, endothelial dysfunction, and chronic inflammation. However, the molecular mechanisms underlying vascular stiffening and endothe...

Knowing-fighting: the generative powers of the Global War on Terror

The study of war and terrorism embraces uncertainty, but how knowledge of terrorist threats gains policy traction in specific contexts remains undertheorized. This article advances a knowing–fighting framework to illuminate war's generative powers – the capacity not only to destr...

Appetitive trait profiles in late life: links to eating disorder psychopathology and psychosocial well-being

Abstract Objective Appetitive traits shape eating behaviors across the lifespan, yet their patterns and health correlates in later life remain poorly understood. This study used latent profile analysis (LPA) to identify distinct profiles of appetitive traits among older adults an...

Empowering PolymericMaterials Discovery by ArtificialIntelligence

Abstract Polymeric materials underpin modern technologies spanning energy storage, microelectronics, healthcare and sustainable manufacturing. Yet their rational design remains exceptionally challenging because material performance emerges from complex interactions among molecula...

Do fraud alert features improve user satisfaction? Evidence from large language model–based personality traits in online reviews

Purpose This study explores the paradoxical impact of fraud alert features on user satisfaction in age-friendly applications and examines how the personality traits Openness and Neuroticism moderate this relationship. Design/methodology/approach Drawing on 7,516 user reviews of a...

A Frequency-Field Picture of Gravity: An Operational Interpretation of the Schwarzschild Solution

General relativity provides an exceptionally successful geometricdescription of gravity, but the relation between gravitationalfrequency shifts, local measurement standards, and free fall can bedifficult to visualize directly. The Schwarzschild solution alreadycontains a natural...

When education sticks: early imprints and sociopreneurship in emerging economies

This study examines how entrepreneurship education and training (EET) influences sociopreneurship in emerging economies. Drawing on dynamic imprinting theory, we argue that EET received at different stages of life leaves imprints of unequal durability, and that the expression of...

Holding All the Cards from the Good Old Days: How Nostalgic Cues Enhance Artificial Intelligence Service Acceptance

Although artificial intelligence (AI) has become deeply integrated into services, many customers exhibit low acceptance of AI-driven offerings. Identifying effective and efficient ways to enhance AI acceptance is both theoretically significant and practically valuable. Drawing on...

Satellite–Argo Reconstruction of the Mesoscale-Eddy Sound-Speed Field and Its Effect on Towed-Array Gain: A Differentiable Framework with Bounded Acoustic Feedback

We reconstruct the four-dimensional sound-speed field of mesoscale eddies from satellite sea-level anomaly and sparse Argo profiles with a geostrophically constrained coordinate network, and connect it to array-level acoustics through a differentiable parabolic-equation model and...

Adaptive Electrochemical Aptamer Sensing across Biofluid-Relevant pH Ranges via a Dual-Stage Machine Learning Framework

Reliable electrochemical sensing can be hindered by environmental variability such as pH fluctuations, ionic strength, and nonspecific adsorption, which compromise signal fidelity and quantitative accuracy. Here, we present a dual-stage machine learning-assisted electrochemical f...

Satellite–Argo Reconstruction of the Mesoscale-Eddy Sound-Speed Field and Its Effect on Towed-Array Gain: A Differentiable Framework with Bounded Acoustic Feedback

We reconstruct the four-dimensional sound-speed field of mesoscale eddies from satellite sea-level anomaly and sparse Argo profiles with a geostrophically constrained coordinate network, and connect it to array-level acoustics through a differentiable parabolic-equation model and...

The Externalities of Peers' Misconduct: Evidence From Corporate Social Responsibility

ABSTRACT How do innocent firms navigate negative reputational spillovers from industry peer misconduct? We propose that non‐culpable firms leverage corporate social responsibility (CSR) as a costly‐to‐fake signal of intrinsic quality to distance themselves from tainted peers. Usi...