Xi'an Polytechnic University

Evolution of (S)-2-Aminobutanol Synthesis from Chemical Resolution to Biomanufacturing

As a pivotal chiral precursor for the synthesis of the antituberculosis drug ethambutol and antiepileptic drugs such as levetiracetam, Chiral (S)-2-aminobutanol requires high optical purity for clinical safety. This review systematically summarizes the evolution and recent advanc...

Photothermal Evaporator with MXene‐Regulated Fe 3+ /Fe 2+ Cycling via Ligand‐to‐Metal Charge Transfer for Solar Desalination and Wastewater Purification

ABSTRACT Combining interfacial solar evaporation and advanced oxidation provides a promising approach to ease global energy shortages and water pollution. However, fabricating bifunctional evaporators with excellent photothermal, catalytic and synergistic properties remains a tou...

Preparation of Polyurethane Solid–Solid Phase-Change Material with Soft Segment for Application on Temperature-Regulating Fabrics

The emergence of water-borne polyurethane solid–solid phase-change materials (PCMs) has overcome the problems of core material leakage in solid–liquid phase-change materials. However, water-borne polyurethane solid–solid phase-change materials also have issues such as poor heat s...

Efficient Path Planning for Fiber Sorting Manipulators Based on Improved Bi-RRT* in Narrow Environments

Automated foreign-fiber sorting in textile processing requires efficient robotic path planning, yet conventional sampling-based planners often struggle in narrow passages because of limited entrance accessibility and constrained tree expansion. To address this problem, this study...

Analysis of soil-foundation-structure interaction based on a novel lumped parameter model with improved Legendre polynomials

A lumped parameter model (LPM) adopting frequency independent spring, damper and inerter is developed in this work. It can effectively characterise frequency-dependent impedance within the time domain, thus supporting direct time-domain seismic analysis for structures with soil s...

Spectrally stable dispersion matching for peridynamic approximation of periodic atomistic chains

Peridynamics and atomistic lattice models both describe motion through nonlocal interactions, but a generic peridynamic kernel does not necessarily reproduce atomistic dispersion. This article constructs a spectrally stable, dispersion-matched peridynamic approximation for one-di...

Tricolor soliton molecules in synchronous mode-locked fiber lasers

Tricolor soliton molecules (TSMs), bound states of optical solitons with three distinct carrier frequencies, exhibit distinctive synchronization stability and intricate nonlinear interaction dynamics in synchronous mode-locked fiber lasers. In this work, we experimentally demonst...

Defect detection in rubber pump tubing using edge fusion and adaptive learning

Rubber pump tubing governs the volumetric accuracy of peristaltic infusion pumps, so deviations in inner diameter or wall thickness can alter the delivered dose. Automated optical inspection of such tubing is constrained by two coupled factors: the samples themselves vary geometr...

A tri-branch multi-view contrastive learning framework integrated with physiological information for tumor classification in dynamic optical breast imaging data

Contrastive learning has gained popularity due to its pretraining capabilities on large-scale datasets and extensive data augmentation methods. However, its application in breast tumors classification using Dynamic Optical Breast Imaging (DOBI) data—a functional imaging modality...

DynaID-VAE for Speech-Driven Virtual Anchor Generation: Identity-Disentangled Temporal Memory Variational Modeling

Generating a virtual anchor from speech has to satisfy three demands at once: the face must stay recognizable as the same person, the motion has to be temporally coherent, and the lips must follow the audio. Existing methods often fall short on the first two points because identi...

Artificial-intelligence-driven garment simulation: Advances, challenges, and future perspectives

Finite-element simulation of garment represents a fundamental technology for digital design and virtual fitting; however, conventional methods are hindered by challenges such as complex modeling, difficulties in parameter acquisition, and low computational efficiency. Artificial...

Study on the degradation performance of LaFeO 3 perovskite catalyst for reactive dyes and the dyeing performance of treated effluent

In this study, perovskite-type LaFeO 3 catalyst was successfully synthesized via the sol–gel method and applied to the catalytic degradation of reactive dye wastewater in the H 2 O 2 system. Experimental results revealed that, under optimized conditions (catalyst dosage = 0.3 g/L...

Effect of melt flow control via runner design on microstructure and defect formation in high-pressure die cast Al-Si alloy

This study investigates the influence of runner design on the formation of externally solidified crystals (ESCs), porosity and eutectic bands in a non-heat-treated high-pressure die cast (HPDC) AlSi9MnVZr alloy. Three runner configurations: simple runner, pinched runner and pinch...

Assessment of Terrestrial Carbon Sinks: A Review of Methodological and Framework Limitations and Future Prospects

Ecosystem carbon sinks are a key indicator of terrestrial ecosystems' ability to absorb and store atmospheric CO₂. Their accurate assessment is of great significance for addressing global climate change and achieving carbon reduction targets. Due to limitations in the timeliness...

Freeze–Thaw Durability and Pb Leaching Control of Graphene-Assisted MICP-Stabilized Pb-Contaminated Loess: Coupled Hydro-Environmental and Geotechnical Performance

Freeze–thaw cycling can strongly disturb the pore-water environment, soil fabric, and contaminant mobility of heavy-metal-contaminated loess, thereby threatening the long-term effectiveness of stabilization treatments in seasonally frozen regions. This study investigated the coup...

MSSFFE-Net: a fine-grained object recognition network based on multi-scale spatial-frequency domain feature enhancement

The challenge of few-shot fine-grained image classification lies in the scarcity of labeled training samples, which hinders models from learning subtle discriminative patterns. Moreover, most existing methods rely heavily on spatial-domain convolutional operations while overlooki...

Trade-Offs Among Arc Erosion Resistance, Wear Resistance, and Compressive Performance: Designing Cu-Nb-Gr Composites with a Semi-Continuous Gr-Rich Structure Coupled with an Nb-Rich Load-Bearing Structure

Developing Cu-based composites with excellent electrical and mechanical properties under multiphysics-coupled service conditions remains challenging. Novel Cu-Nb-Gr composites were fabricated by high-energy ball milling and High-pressure Multi-field Assisted Rapid Sintering. Expe...