Changsha University of Science and Technology

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,...

Advanced phase change cold storage macro encapsulated sphere for refrigerated transportation

The advantages of hydrated salt phase change materials (PCMs) have garnered increasing attention within the refrigerated transportation sector. Encapsulation of hydrated salts offers a promising solution to mitigate their corrosive properties, thereby enabling their implementatio...

Decoupled probabilistic modeling method for seismic-induced track irregularity on CRTS Ⅲ track-bridge system: Prediction and uncertainty quantification

Seismic-induced track irregularity (STI) is the key factor affecting train safety in high-speed railway bridges. Due to its high-dimensional spatial characteristics, direct prediction of STI may reduce modeling efficiency and prediction accuracy. More importantly, few existing mo...

Effects of station-area built environment on urban rail transit passenger flow

The spatiotemporal mismatch between urban rail transit (URT) stations and surrounding urban functions challenges operational efficiency worldwide. Existing research predominantly focuses on average daily ridership, offering limited insights into how built environment influences v...

Aptamer-engineered signal-loaded MCOFs as a turn-on fluorescent platform for trace detection of immunosuppressants and prognostic biomarkers in serum

The simultaneous detection of immunosuppressive drugs and prognostic biomarkers in the serum of post-transplant patients enables a more accurate assessment of patient status, allowing for timely adjustments to medication regimens and the prevention of graft-versus-host disease (G...

Controlling the laser-induced textures for high-quality micro-grinding of monocrystalline silicon

The high-quality and low-damage processing of hard, brittle and difficult-to-cut materials is a well-recognized technical challenge. Herein, a hybrid machining method, laser-induced texturing assisted micro-grinding (LIT-MG), is introduced to process monocrystalline silicon (Mono...

Non-pharmacological interventions for lower limb rehabilitation after stroke: a systematic review and network meta-analysis

Stroke is a leading cause of long-term adult disability, and lower limb dysfunction substantially limits functional independence. This study aimed to systematically compare the effects of different non-pharmacological rehabilitation interventions on lower limb recovery after stro...

CLRFI: A multimodal tracking via contrast learning and region feature interaction

RGB-Thermal (RGB-T) target tracking algorithms aim to achieve robust all-weather tracking by leveraging the complementary properties of multiple modalities. Previous methods often fuse RGB and TIR search area features directly, which can introduce redundant background noise and l...

Co-simulation study on stability control strategy for super-high-speed vehicles under crosswind

To mitigate crosswind-induced lateral and yaw instability in super-high-speed vehicles, this study develops a CFD-calibrated aerodynamic feedforward model predictive control (MPC) strategy. Conventional ESP and many existing MPC-based crosswind controllers compensate for wind eff...

ATSFV: Attribute-Based Traceable Image Data Sharing Scheme under Multi-Fog-IoVs

The sharing of image data in internet of vehicles (IoVs) plays an important role for traffic management in intelligent transportation systems. Although the emergence of cloud computing provides the storage of image data in the cloud server under internet of vehicles, a single clo...

Improvement of personalized recommendation service level of intelligent libraries based on artificial intelligence and big data mining technology

Abstract This study aims to improve the level of personalized recommendation services in intelligent libraries of colleges and universities and address the issue of insufficient recommendation accuracy in existing models caused by static user representation and data sparsity. It...

Flume experiments on wave attenuation through combined flexible and rigid vegetation

Vegetation-based wave attenuation provides a sustainable alternative to conventional coastal protection structures; however, the attenuation characteristics of combined flexible and rigid vegetation systems remain insufficiently understood. This study experimentally investigates...

Annealing‐Induced Crystalline Reconstruction and Toughening Mechanisms in β‐Nucleated Long Glass Fiber‐Reinforced Polypropylene Random Copolymer

ABSTRACT Long glass fiber‐reinforced modified polypropylene random copolymer (LPM) systems are widely applied in lightweight structural components. However, rapid injection molding induces heterogeneous crystallization, limiting mechanical performance. Moreover, the intrinsic bri...

Interfacial Electronic Reconstruction in SnS2/CoS Heterostructure for Efficient Electrochemical Nitrate-to-Ammonia Conversion and Energy–Environment Integration

Abstract Electrocatalytic nitrate reduction reaction (NO3RR) provides a promising route for sustainable ammonia synthesis but is often limited by sluggish reaction kinetics, inefficient charge transfer, and competing hydrogen evolution. Herein, a SnS2/CoS heterostructure with str...

Land-Use Change, Ecosystem Services, and Ecological Security Pattern in a Mineral Resource-Based City: A Case Study of Chenzhou, China

Mineral resource-based cities face long-term conflicts among resource exploitation, urban expansion, and ecological conservation, making it necessary to clarify how long-term land-use change affects ecosystem services and ecological security patterns. Taking Chenzhou, China, as a...

Interpretable machine learning for prediction and regulation of bio-oil production, quality, and nitrogen content

Bio-oil derived from biomass pyrolysis is a promising renewable liquid fuel, however, its utilization is limited by unstable production, low heating value, high acidity, and the presence of nitrogen-containing compounds. In this study, an interpretable machine learning framework...

Preliminary Application Research on Deep Learning Based on a Topic Focusing on the Identification of Modern Cultural and Educational Architectural Styles in Hunan, China

Modern cultural and educational buildings are important material carriers of regional modernization, educational transformation, and Sino-Western cultural exchange. In Hunan, these buildings exhibit complex stylistic features shaped by the interaction of Western architectural lan...

Progress in deformation mechanisms and emerging functionalities of metastable β titanium alloys: Insights from advanced characterizations

Metastable β titanium alloys, characterized by diverse microstructural evolution due to a high content of β stabilizers, offer great potential for achieving high multifunctionality, such as excellent strength and ductility combination, biocompatibility, superelasticity, shape mem...

Physics-guided CNN surrogate model of viscoelastic dampers and its application in structural seismic control

Accurate characterization of the time-domain nonlinear mechanical behavior of viscoelastic dampers (VEDs) remains challenging. Traditional frequency-domain models cannot simultaneously consider loading history, strain amplitude, and ambient temperature, whereas high-fidelity time...

Flood shelter identification using a mechanics-based approach and triangular fuzzy analytical hierarchy process

Flood events continue to cause substantial damage to people, infrastructure and communities. Effective evacuation planning is essential, and the identification of safe shelters is a key element in protecting people and property. Shelter selection depends on a reliable flood risk...