Zhejiang University of Science and Technology

Digitally Mediated Heritage Tourism for Sustainable Heritage Management: Evidence from the Liangzhu Heritage Site

How heritage tourism scenes evolve alongside digital mediation and how different forms of mediation are represented in visitor accounts remain insufficiently understood. This study examines the Liangzhu heritage site, centred on the Archaeological Ruins of Liangzhu City, using 71...

POPs Contamination of Aquatic Sediments of the Cerna River Watershed, Romania—Prevalence, Pollution Sources, and Ecological Risk Assessment

This study aims to evaluate the prevalence and pollution sources of polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), and organochlorine pesticides (OCPs) in sediments of the Cerna River and its main tributaries, and to assess the associated ecological ri...

Impact of climate change on the photovoltaic power potential in Sweden across 21st century

Abstract Solar photovoltaic generation strongly relies on weather conditions, which will be affected by future climate change. Traditional methods for estimating photovoltaic generation potential often overlook detailed installation factors and snow impacts, leading to inaccuraci...

Hierarchical multi-market coordination of virtual power plants via multi-factor differentiated bidding

With the increasing participation of distributed energy resources and the growing importance of carbon and flexibility services, virtual power plants (VPPs) require market bidding and revenue-allocation mechanisms that reflect heterogeneous operating characteristics. Conventional...

Machine Learning‐Driven Rational Design of Organic Electro‐Oxidation Catalysts: A Mechanism‐Embedded Approach to Selectivity Engineering

ABSTRACT Organic electro‐oxidation (OEO) uses electrons to drive selective organic transformations under ambient conditions, offering a sustainable alternative to high‐temperature, high‐pressure oxidation and contributing to the decarbonization of chemical manufacturing. However,...

A Full-Cycle Recycling Strategy for End-of-Life Nanofiltration Membranes toward Lithium Extraction, Implemented by Membrane Cleaning and Targeted Restoration

Abstract Nanofiltration (NF) membranes have garnered extensive implementation for lithium extraction from salt lakes, yet the disposal and management of end-of-life (EOL) membranes after an extended service duration still represent a persistent and intractable challenge, particul...

Fingerprint-Mimetic Fibrous Glove via Shear-Induced Alignment and Dynamic Compensation for Multimodal Tactile Sensing

Abstract Flexible devices are key for human–machine interaction in smart homes and virtual reality. However, existing wearable devices are limited by single-mode sensing, irreversible conductive network damage under deformation, and a lack of tactile enhancement, hindering high s...

Comparison of Two Inoculum Preparation Protocols for Improving the Nutritional Quality of Soybean Meal Fermented with Aspergillus niger and Candida tropicalis

This study compared two inoculum preparation protocols for the mixed fermentation of unsterilized soybean meal (SBM) with Aspergillus niger and Candida tropicalis. The mono-culture-derived (MO-C) inoculation protocol involved separately cultivating A. niger and C. tropicalis and...

Plasma-Driven Carbon Mobilization Creates a Transient Near-Surface Carbonaceous Interphase for Selective CO2 Conversion into CO

Abstract Carbon beds enhance plasma-assisted CO2 conversion into resources, but are commonly treated as stationary reactant surfaces. Here, we show that nonthermal plasma (NTP) continuously mobilizes and reconstructs carbon, generating a transient near-surface carbonaceous interp...

Femtosecond Laser-Induced Co3O4 Periodic Surface Structures of Active Facets for Gas Sensing

Abstract Achieving precise facet control in metal oxides is a critical challenge for advancing gas sensor performance, as high-energy crystal planes offer superior surface reactivity but are difficult to expose in a controlled manner on functional thin films. This work demonstrat...

Multi‐strain solid‐state fermentation combined with enzymatic hydrolysis modulates the nutritional value, flavor profile, and antioxidant capacity of walnut meal

Abstract BACKGROUND Walnut meal, a major by‐product of oil extraction, is rich in protein and bioactive compounds but suffers from poor palatability and low digestibility due to anti‐nutritional factors (ANFs) such as phytic acid, tannins, and trypsin inhibitors. Conventional pro...

Prediction and interpretation of comprehensive performance of large-scale instruments in universities using interpretable machine learning

To promote data-driven management of large-scale scientific instruments in universities, this study builds a predictive model for the instruments’ comprehensive performance score (CPS) and identifies its core influencing factors by integrating machine learning (ML) and interpreta...

Real-time, cross-modal genotype mapping of free-moving Drosophila larvae via simultaneous mechano-electrophysiological recording

Drosophila larvae provide a powerful model for interrogating genes associated with human muscle and neurological disorders; however, existing genotyping and phenotyping approaches remain low-throughput and often rely on destructive, invasive, or toxic procedures. Here, we present...

Multifunctional Defense of Achelura yunnanensis Cocoon: High-Strength Tough Silk Fiber, Biomineral Reinforcement, and Protease Degradation Resistance

Abstract Natural silks offer combinations of mechanical performance and biological functionality that synthetic materials still struggle to replicate. Here, we report the structural, mechanical, and biochemical characterization of cocoon silk from Achelura yunnanensis (Lepidopter...

Ensemble fire probability prediction by integrating meteorological AI models with lightweight prediction networks

Wildfires pose persistent threats to ecosystems and human safety, making timely fire-risk assessment essential for disaster prevention and resource management. However, conventional wildfire early-warning approaches are often constrained by static fire-weather indices or machine-...

An expert-level generalist AI for abdominal CT diagnosis

Artificial intelligence (AI) in radiology aspires to deliver expert-level diagnosis across diverse clinical tasks, yet existing supervised strategies remain limited in scope. We developed RADAR, a generalist vision-language model trained on more than 400,000 contrast-enhanced abd...

Towards Optimal Speculative Decoding: A Comprehensive Survey on Optimizations and Future Directions

Speculative decoding (SD) has emerged as a compelling approach to breaking the sequential bottleneck of autoregressive large language model (LLM) inference. By coupling lightweight drafting with parallel verification, SD reduces expensive target-model decoding while preserving ge...

Automated screening of autism via a pretrained vision-language model in naturalistic caregiver-child interactions

Early autism screening is essential for timely intervention but remains constrained by specialist dependence, costly protocols, and limited accessibility. We present Autism-CLIP, a vision-language model that automates screening from 3-min naturalistic caregiver-child interaction...

Career plateau among prison police officers in western China: a cross-sectional study

Background: Career plateau reflects perceived limits on career advancement or meaningful work development. This study examined career plateau and its associations with work-family conflict, perceived organizational support, and occupational characteristics among prison police off...

Effect of Ru on Interfacial Re Segregation and Low-Cycle Fatigue Behavior of NiAlRe and NiAlReRu Model Superalloys

The effects of Ru on Re segregation and low-cycle fatigue (LCF) behavior were investigated in two model single-crystal superalloys, Ni-8.5Al-4Re and Ni-8.5Al-4Re-2Ru (wt.%). Microstructural morphology, elemental distribution, fatigue deformation behavior, and dislocation structur...