Southern University of Science and Technology

MonoXtract: A Deep Learning Framework for Extracting Transmembrane Protein Dynamics from Single-Color Single-Molecule Imaging

Abstract Single-color fluorescence-based single-molecule techniques enable label-efficient probing of membrane-associated biomolecular dynamics. However, extracting reliable kinetic information is challenging due to signal heterogeneity, noise and the absence of reference channel...

2D MoS 2 /Au Interfaces For Enhanced Opto–Electronic Response With Sub‐Bandgap Photons

ABSTRACT Monolayer is a direct bandgap semiconductor with potential applications in optoelectronics and photonics. also has a large optical nonlinearity. However, the atomic thickness of the monolayer limits the strength of the measured functional signals, such as the photocurren...

Crank-Nicolson-type iterative decoupled algorithms for Biot’s consolidation model using total pressure

Abstract In this work, we propose and analyze Crank-Nicolson-type iterative decoupled algorithms for a three-field formulation of Biot’s consolidation model using total pressure. These algorithms are derived from an equivalent, reformulated fully coupled system based on the Crank...

Non-Destructive Chemoselective Labeling and Bioorthogonal Enrichment of Pseudouridine-Containing RNA via Facile N 1-Selective Functionalization

Abstract Pseudouridine (Ψ), often referred to as the “fifth nucleotide”, constitutes the most abundant post-transcriptional RNA modification and plays pivotal roles in regulating RNA structure and function. However, the precise mapping and functional investigation of Ψ remain cha...

Maternal childhood maltreatment and adolescent internalizing problems: Intergenerational pathways via emotion regulation difficulties and offspring maltreatment

Background Research has established the intergenerational transmission of maternal childhood maltreatment to offspring internalizing problems. However, the potential indirect pathways underlying this intergenerational association remain under-explored, particularly regarding how...

CD147 exacerbates ischemic brain injury and disrupts Wnt/β-catenin signaling and blood-brain barrier integrity

Abstract Ischemic stroke is a leading cause of death and disability, with limited therapies beyond reperfusion. CD147 (Basigin), upregulated after cerebral ischemia, participates in neuroinflammation, however, its precise contributions to blood-brain barrier (BBB) disruption and...

Exploring key genes associated with metabolic cell death in ischemic stroke: a comprehensive analysis of single-cell, bulk transcriptome, and experimental validation

Metabolic cell death and ischemic stroke (IS) may be closely correlated. In this study, we identified key metabolic cell death-related genes (MCD-RGs) in IS, which may provide insight into ischemic injury and candidate targets for future therapeutic exploration. GSE163654, GSE306...

Integrating bioinformatics and experiments to identify neddylation-related prognostic features in prostate adenocarcinoma

Targeting neddylation represents a promising treatment strategy for prostate adenocarcinoma (PRAD). This study integrated bioinformatics and experimental approaches to identify neddylation-related prognostic genes in PRAD, with the goal of providing new insights. Public datasets...

Nano-NucleOTAC-mediated Z-DNA transformation disrupts mycobacterium tuberculosis biofilms and activates antibacterial immunity

The biofilms of Mycobacterium Tuberculosis (Mtb) use extracellular DNA (eDNA) as a protective structural scaffold that shields resident bacteria from host immunity and antibiotics, promoting persistent infection. An FDA-approved DNase can partially hydrolyze eDNA but has limited...

Topology-enhanced machine learning for speech signal processing

In artificial-intelligence-aided signal processing, existing deep learning models often exhibit a black-box structure. Here, conceptually beyond spectral analysis, we demonstrate that topological methods not only effectively capture intrinsic and complex structural information bu...

Surface‐Charge‐Regulated Porous Water for Interfacial Phase‐Transition Control

Angstrom-confined water in porous scaffolds is sensitive to interfacial electrostatics, yet cross-material predictability is limited because pore geometry and surface chemistry change simultaneously. This work introduces Surface-Charge-Regulated Porous Water (SCR-PW) as a tunable...

Design and Implementation of a ∼25-Yr Pseudoprospective Earthquake Forecasting Experiment in China (AoyuX)

Abstract Forecast models in statistical seismology are commonly evaluated with log-likelihood (LL) scores of the full distribution P(n) of earthquake numbers, yet fat tails and out-of-range observations (realized counts exceeding all simulations) can bias model ranking. We develo...

The identification of systemically important financial institutions from the aspect of “Too Connected to Fail”

This paper investigates the identification of Systemically Important Financial Institutions (SIFIs) from a “Too Connected to Fail” perspective by applying the K-shell algorithm to a dynamic tail-risk contagion network. The network is constructed for China’s financial system using...

Exploiting Asymmetric Nitrogen Chlorination for Construction of N -Chloroimine Atropisomers

Abstract Enantioselective halogenation has recently expanded from carbon to heteroatomic sulfur and phosphorus centers. However, asymmetric functionalization at nitrogen centers remains challenging. Herein, we report an atroposelective nitrogen-halogenation strategy that utilizes...

Integrating Grid-Based Random Forest Predictions with Slope Units for Landslide Susceptibility Mapping

Landslide susceptibility mapping identifies terrain prone to slope failure under comparable environmental and triggering conditions. Grid-based machine-learning outputs can be spatially fragmented and difficult to translate into slope-scale mitigation. We developed a two-stage gr...

Research on a Deep Learning‐Based Inversion Method for Surface Wave Dispersion Spectra

Abstract The near‐surface shear‐wave velocity structure is crucial for geological engineering and near‐surface exploration. Surface wave inversion is a key technique for obtaining the velocity structure, but traditional methods suffer from limitations such as heavy reliance on th...

Phytochemical Molecular Engineering Reconfiguring Solvation Chemistry and Interfacial Energy for Highly Reversible and Long‐Lifespan Zn‐Ion Batteries

ABSTRACT Severe hydrogen evolution, sluggish desolvation kinetics, and chaotic dendritic growth severely impede the commercialization of aqueous zinc‐ion batteries. Herein, a sustainable phytochemical molecular engineering strategy is proposed by introducing a natural chenpi extr...

Ion-Selective GaN Optopairs with Rapid Response and High Stability for Intelligent Biomimetic Sensing

Abstract Ion concentration variation can indicate dynamic physiological metabolism and environmental media changes. Although electrochemical biosensors with high sensitivity and selectivity are widely used, achieving rapid response and minimal signal drift remains challenging. He...

Strong Hydrogen Bond Interaction Induced Dimensional Evolution in Aromatic Diammonium-Based Perovskite/Perovskitoid for Achieving High-Performance X-ray Detection

Abstract 2D perovskite single crystals (SCs) based on various aromatic diammonium cations have demonstrated significant potential in high-performance X-ray detection. Nevertheless, the relationship between the structure of aromatic diammonium cations and perovskite dimension rema...

Three-year Comparative Efficacy and Safety of Repeated Low-level Red-light Therapy and Orthokeratology for Myopia Control in Children

Repeated low-level red-light therapy (RLRL) has emerged as a noninvasive intervention for myopia control in children. This study compared the 3-year efficacy and safety of RLRL and orthokeratology (OK). This retrospective study included 86 children treated with RLRL ( n = 40) or...