Xiamen University of Technology

Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning

Abstract Temperature-control materials, notably composite phase-change materials (CPCMs), show great potential for the thermal management of next-generation power electronics. However, the synergistic optimization of multiple performance metrics still relies heavily on Edisonian...

Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

ABSTRACT Objective To review the clinical application and quantitative parameters of high‐speed videoendoscopy (HSV) in evaluating vocal fold kinematics in patients with laryngeal dystonia (LD), to summarize the limitations of existing studies, and to provide a reference for futu...

Improving Quantum-ChemicalPrediction of 19F NMR Chemical Shifts via Machine Learning

Abstract 19F nuclear magnetic resonance (NMR) spectroscopy is widely used for structural elucidation of fluorinated molecules, but reliable prediction of 19F chemical shifts remains challenging because quantum-chemical calculations are computationally demanding and their accuracy...

STELT: A spatiotemporal deep learning framework for diffusion-ordered NMR spectroscopy reconstruction with artifact suppression

Diffusion Ordered NMR Spectroscopy (DOSY) is a powerful technique for studying mixtures by probing the diffusion behavior of mixed compounds and enabling their identification and separation in mixture samples. The performance of DOSY generally relies on the adopted reconstruction...

Bridging the GapBetween Laboratory Catalyst Researchand Practical Water Electrolyzer Commercialization

Abstract Water electrolyzers are key technologies for enabling a carbon-neutral society by facilitating sustainable hydrogen production. Despite extensive efforts to develop highly active catalysts, a persistent gap remains between catalyst performance evaluated in rotating disk...

Sensitive andReproducible SERS Profiling of Tumor-DerivedEVs via Uniform Microfluidic Nanobowl Arrays for Pancreatic CancerManagement

Abstract Tumor-derived extracellular vesicles (EVs) are promising liquid biopsy biomarkers, yet their clinical translation is hindered by the trade-off between enhancement and reproducibility of SERS-based detection. Here, we present a microfluidic SERS platform integrating plasm...

UnravelingSulfur Vacancy Evolution Mechanism duringLow-Temperature H2 and S Vapor Annealing in Monolayer Mo(1– x )W x S2 Alloys

Abstract This study systematically modulated the healing and creation of S vacancies in monolayer Mo(1–x)WxS2 alloys via low-temperature H2 and S vapor annealing, observing three distinct types of photoluminescence (PL) evolutions. Type I featured intensified PL, a decreased X–/X...

Tailoring MicrophaseSeparation through Backbone SubstituentModulation in Poly(biphenyl alkylene) Anion Exchange Membranes

Abstract Anion exchange membrane (AEM) water electrolysis serves as an attractive approach for cost-effective hydrogen generation. However, achieving AEMs with both high ionic conductivity and robust alkaline stability remains challenging. Herein, a series of ether-free quaterniz...

Acridine-Based[68Ga]Ga- and [18F]AlF-Labeled PSMA RadiotracersEnabling High-Contrast PET Imagingwith Minimized Undesired Retention

Abstract Prostate-specific membrane antigen (PSMA)-targeted radioligands have achieved clinical success in prostate cancer imaging, yet nonspecific uptake in normal tissues remains a challenge. Here, we developed a series of acridine-based PSMA ligands and systematically investig...

From the norms on social media to young people’s online aggressive behavior: the mediating effect of moral disengagement

Purpose In the social media era, cyberspace can foster undesirable norms that erode moral boundaries and fuel cyber aggression, especially among young people. Integrating the Theory of Normative Social Behavior and the Theory of Planned Behavior, this study systematically explore...

A Multi-View Attention–Similarity Decision-Support Framework for Core Feature Recognition in Design Patent Infringement Assessment

Identifying core features is a crucial step in design patent infringement assessments (DPIAs), as the identification results serve as a vital basis for subsequent qualitative and quantitative assessments. Traditional DPIAs typically rely on the experience and knowledge of experts...

MonovalentTargeting Nanotag-Mediated Single-MoleculeCounting by SP-ICP-MS

Abstract Accurate single-molecule quantification of biomolecular targets is essential for ultrasensitive bioanalysis and early disease diagnostics. Single-particle inductively coupled plasma mass spectrometry (SP-ICP-MS) enables the detection of individual metal nanoparticles wit...

MetabolicRNA Labeling: Adding a Temporal Dimensionto Transcriptomics and Epitranscriptomics Analysis

Abstract Transcriptomics and epitranscriptomics analyses have provided unprecedented insights into the transcriptome-wide RNA abundance and the post-transcriptional modifications of RNA across diverse biological processes. However, conventional transcriptomics and epitranscriptom...

Activatingthe Gate-Opening Effect in Multivariate MOFs by Defect Engineeringfor Oxidative Desulfurization

Abstract Metal–organic frameworks (MOFs) have shown great potential in catalytic oxidative desulfurization (ODS), yet their efficiency is often hampered by intrinsically inaccessible pore networks that impede the contact between active sites and reactants. To unlock the potential...

Prediction of DistalMutation Effects in Enzymes viaIntegration of Molecular Dynamics Descriptors and Zero-Shot Model

Abstract Identifying beneficial distal mutations remains a key challenge in enzyme engineering, as such residues can regulate activity through long-range dynamical coupling and allosteric communication. Although protein language models effectively capture sequence and evolutionar...

A Novel Hybrid Active-Passive Neutral-Point-Clamped Multilevel Conversion Topology

This paper presents a novel multilevel neutral-point-clamped (NPC) topology featuring a combination of active (transistor) and passive (diode) clamping. The topology leverages the main benefits of both purely-passive and purely-active NPC topologies. It allows concentrating switc...

A Novel Hybrid Active-Passive Neutral-Point-Clamped Multilevel Conversion Topology

This paper presents a novel multilevel neutral-point-clamped (NPC) topology featuring a combination of active (transistor) and passive (diode) clamping. The topology leverages the main benefits of both purely-passive and purely-active NPC topologies. It allows concentrating switc...

A robust adaptive InSAR-GNSS fusion approach for three-dimensional surface deformation monitoring

Urban land subsidence threatens coastal infrastructure, especially in reclaimed and densely developed areas. Single-geometry InSAR (Interferometric Synthetic Aperture Radar) provides wide-area LOS (line-of-sight) deformation but is limited in resolving 3D (three-dimensional) grou...

Dynamic Active Site Generation on CuO x /γ-Al2O3 Catalysts for CO Oxidation

Abstract Most heterogeneous catalysts undergo dynamic changes under reaction conditions. In this study, the redox properties and dynamic behavior of CuOx/γ-Al2O3 catalysts were characterized using in situ FTIR, quasi-in situ XPS, and HS-LEIS (high-sensitivity low-energy ion scatt...

Oxygen-Content-Dependent Interfacial and Barrier Effects of Graphene Fillers in PVA Adhesives Toward Durable Polarizer Applications

Waterborne poly(vinyl alcohol) (PVA) adhesives are widely used in iodine-based polarizers, owing to their excellent transparency and interfacial adhesion. However, the intrinsic hydrophilicity of PVA compromises the long-term durability of polarizers under humid conditions. Herei...