University of Science and Technology of China

Mefatinib versus gefitinib as a first-line treatment for EGFR-mutated non-small cell lung cancer: a randomized, double-blind, multicenter phase III study

Mefatinib, a novel second-generation epidermal growth factor (EGFR) tyrosine kinase inhibitor that has shown promising antitumor activity in targeting non-small cell lung cancer (NSCLC) with common and uncommon EGFR- activating mutations. In this phase III, randomized, double-bli...

Star PolyelectrolyteCoacervates Enable Adaptive andRobust Enzyme Immobilization for Efficient Biocatalysis

Abstract Enzyme immobilization in solid porous supports often suffers from a trade-off among enzyme loading, mass transport, catalytic activity, and operational stability. Here, we report a liquid-like immobilization platform based on star polyelectrolyte coacervates (SPECs) form...

Sodium Lidar observed multiple sodium layer structures and their dynamical coupling mechanism

Abstract. On the night of 13 June 2013, the University of Science and Technology of China (USTC) sodium lidar observed multiple sporadic sodium layers (SSLs) and enhanced sodium patterns (ESPs) over Hefei, China (31.8°N, 117.3°E). These structures appeared at different times, col...

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...

Structure, Stability, Spectroscopy and Chemical Bonding Analyses on the Novel X 6 (X = N, P, As, Sb, Bi) Molecules

ABSTRACT Inspired by the successful synthesis of zig‐zag C 2h ‐N 6 ( Nature 2025 , 642, 356–360), we systematically explored the structure, stability, infrared spectroscopy, chemical bonding and weak interaction of novel X 6 (X = N, P, As, Sb, Bi) molecules using relativistic DFT...

Enhancing MicroplasticRaman Spectral Quality andClassification via a Dual Encoder Residual Network

Abstract When addressing noise interference and baseline drift during the rapid Raman spectral analysis of microplastics, traditional denoising and baseline correction algorithms frequently exhibit limitations such as parameter sensitivity, reliance on manual intervention, and in...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...