University of Science and Technology of China

Cavity Confinement to Create Multi‐Dimensional Functional Partition Iron Sites Synergistically Promotes Multi‐Scenario Ammonia Synthesis

ABSTRACT Electrocatalytic ammonia synthesis centered on nitrate reduction constitutes a vital component of the future green synthesis pathway from nitrogen to nitrogen oxides to ammonia. However, catalyst development often overlooks the critical coordination between the intricate...

Intermittent fasting promotes plaque regression and activates the BMAL1–MERTK efferocytosis axis

Abstract Background Atherosclerotic cardiovascular disease can progress despite intensive lipid lowering, highlighting the need to identify local mechanisms that remodel established plaques. Intermittent fasting may engage metabolic, circadian, and immune pathways relevant to thi...

Refined Theoretical Models for Predicting Chain-Direction Thermal Conductivity in Crystalline Polymers

Abstract Thermal conductivity (κ) is a pivotal physical property governing the performance of crystalline polymers in advanced technologies ranging from thermoelectrics to electronic thermal management. However, low-cost and rapid prediction of κ remains challenging due to the st...

Finger dynamics in rarefaction-driven single-mode Rayleigh–Taylor instability under high-amplitude conditions

This study examines the finger dynamics of high-amplitude, single-mode rarefaction-driven Rayleigh–Taylor instability (RTI) through rarefaction-tube experiments and numerical simulations. Unlike RTI driven by gravity or mechanical acceleration, rarefaction-driven RTI features a d...

Falling dynamics of flexible plates with concentrated weight

We investigate the free fall of a flexible plate with a concentrated central weight using numerical simulations to explore the coupling effects of structural flexibility and concentrated loading. Two-dimensional and three-dimensional (3-D) simulations, combining lattice Boltzmann...

Frequency-tunable superconducting microwave resonators based on quantum paraelectricity

Frequency tuning enables both high-sensitivity and wide-bandwidth detection in the resonator. Potassium tantalate (KTO) is a quantum paraelectric with tunable permittivity and low microwave loss at cryogenic temperature, making it promising for tunable devices. Here, we demonstra...

MambaUNet: An Efficient U-Shaped State-Space Network for Underwater Image Enhancement

Underwater images are frequently degraded by wavelength-dependent absorption and scattering, resulting in color casts, low contrast, blurred textures, and loss of structural details. Existing enhancement networks may struggle to balance global context modeling, local detail recov...

Ultrasound‐Driven Interfacial Electron Modulation Reprograms Mitochondrial Metabolism for Glioblastoma Therapy

Glioblastoma (GBM) remains difficult to treat because the restrictive blood-brain barrier (BBB), the hypoxic tumor microenvironments, and mitochondrial electron transport chain (ETC)-driven metabolic adaptability jointly limit therapeutic delivery and efficacy. Selective disrupti...

Holistic Inside‐Out Reconfiguration of Ni‐Rich Cathodes via a Thermally Self‐Driven Strategy for Exceptional Chemomechanical Stability

ABSTRACT Ni‐rich layered oxides (LiNi x Co y Mn 1− x − y O 2 , x ≥ 0.8) are indispensable for high‐energy‐density lithium‐ion batteries, yet they suffer from severe chemomechanical degradation driven by the synergy of internal microcracking and interfacial parasitic side reaction...

Calculation of backscattering correction factors in AES for compounds: Unraveling matrix effects

Backscattering correction factor (BCF) data are essential for quantitative Auger electron spectroscopy (AES) analysis. This study computes BCFs for nine oxides and three zinc chalcogenides by using a Monte Carlo method that incorporates dielectric function theory for discrete ine...

Freq-LoRA: Frequency-Domain Low-Rank Adaptation for Weather-Robust Aircraft Segmentation in EO Remote Sensing

Adverse weather poses a major challenge to ground-based electro-optical (EO) aircraft surveillance. Existing parameter-efficient fine-tuning (PEFT) methods operate mainly in the spatial domain and treat weather as a generic domain shift rather than a frequency-dependent degradati...

Counterintuitive Temperature-Dependent Interfacial Thermal Resistance in Twisted van der Waals Interfaces

Precise control of interfacial thermal resistance (ITR) is essential for thermal management in van der Waals (vdW) devices. Here, we report a counterintuitive temperature-dependent reversal of ITR in twisted PtX2 (X = S, Se, Te) interfaces. At near-commensurate small twist angles...

Single Particle All‐Optical Synapses

ABSTRACT Artificial synapses for emulating the synaptic behaviors and neuromorphic computing have been extensively exploited based on the temporal response of diverse physical and chemical processes. In these synaptic devices, operating in an all‐optical fashion offers significan...

HearT : Enabling Acoustic Sensing of Ingested-Liquid Temperature via Hydrodynamic Vibration Modeling

Drinking water temperature is linked to gastrointestinal diseases such as gastroesophageal reflux disease, esophageal cancer, and functional dyspepsia. This paper presents HearT , a headphone-deployable system that leverages fluid dynamics–based vibration modeling to infer the te...

Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems

Summary Seismic stratigraphic interpretation of shelf-edge clinothems is essential for revealing tectonic evolution, paleoclimate change, depositional dynamic conditions, and hydrocarbon generation and accumulation during basin filling. However, traditional interpretation methods...

Deep Learning-based Seismic Reflectivity Estimation by Pre-training on Labeled Synthetic Data and Physics-guided Fine-tuning in Field Data

Summary Reflectivity estimation aims to enhance the resolution of seismic data, providing crucial support for the detailed inversion of reservoir parameters. We propose a method that combines supervised pre-training with synthetic data and physics-guided fine-tuning in field data...

Cr‐Leaching Induced Vacancy Engineering for High‐Performance Anion Exchange Membrane Water Electrolysis

ABSTRACT Anion exchange membrane water electrolysis (AEMWE) offers a compelling route to large‐scale green hydrogen production. However, developing catalysts that simultaneously combine high activity, long‐term durability, and stack‐level scalability remains a major challenge. He...

Validation Study on Fault Diagnosis of Elevator Traction Drive Systems Based on Public Motor-Drive Data and Multimodal Signal Analysis

To address the difficulty of obtaining real fault data from elevator traction drive systems and the potential overestimation caused by random window splitting, this study uses two public motor-drive datasets to examine how validation protocols, signal modalities, and noise condit...

Enzyme Engineering:From Classical Strategies to AI-DrivenBiocatalyst Design

Abstract Nowadays, enzyme engineering has moved from traditional structure-based mutagenesis and directed evolution to data-intensive, AI-assisted design paradigms that involve the rapid discovery and optimization of biocatalysts. Whereas classical approaches relied on rational d...

Comparative analysis of cerium incorporation techniques on Ni/Al2O3 catalysts for methane dry reforming: Surface promotion vs. structural support modification

Two series of 5 wt.% Ni/Al 2 O 3 catalysts incorporating cerium (Ce) at loadings ranging from 1.0 to 3.0 wt.% were prepared by impregnation and subjected to systematic evaluation for the dry reforming of methane (DRM) at 700 °C. The two series were distinguished by the mode of Ce...