Guangdong University of Technology

MitoGPS: A Mitochondrial DNA G‐Quadruplex‐Targeting Strategy for Tumor‐Preferential Type I Photodynamic Therapy

ABSTRACT Photodynamic therapy (PDT) is a clinically promising, minimally invasive cancer treatment offering precise spatiotemporal control. However, achieving preferential tumor accumulation remains a critical challenge, which limits therapeutic efficacy and induces off‐target to...

Transformable Imidates Enabled Regiodivergent and Redox-Neutral C–H Amination That Tolerated Strongly Coordinating Heterocycles

Abstract The translation of C–H activation into practical platforms for bioactive molecule discovery remains constrained by poor functional group compatibility, limited scalability, and inefficient downstream diversification. Here we present a robust and scalable, redox-neutral C...

Stable High‐Rate Sodium Metal Batteries at Room and Low Temperature Enabled by Mixed Ion/Electron‐Conducting Interphase Engineering

Sodium metal batteries (SMBs) with high energy density showed great promise for various applications, but they are plagued by uneven and low‐reversibility sodium plating/stripping, particularly when fast‐charging capability at subzero temperatures is pursued. Here, we present a f...

Accuracy of Photoplethysmography-Derived Pulse Rate Variability Compared with Electrocardiography-Derived Heart Rate Variability: A Systematic Review and Meta-Analysis

Photoplethysmography-derived pulse rate variability (PPG-derived PRV) is increasingly used in wearable and camera-based biomedical sensors as a low-burden alternative to electrocardiography-derived heart rate variability (ECG-derived HRV), but its agreement with ECG-derived measu...

Cognitively-Inspired Two-Stage Diffusion Policy for Adaptive Resource Scheduling in Sustainable UAV-Assisted Mobile Edge Computing Systems

In Unmanned Aerial Vehicle-assisted Mobile Edge Computing (UAV-MEC), dynamic workloads and limited onboard energy pose significant challenges for efficient task scheduling and long-term mission sustainability. Cognitively-inspired computing paradigms provide an intelligent soluti...

Cross modal reliable pixel contrastive learning for incomplete modal brain tumor segmentation

<title>Abstract</title> In clinical practice, Magnetic Resonance Imaging (MRI) often lacks specific modalities, inevitably leading to a degradation in predictive performance. Different modes are currently treated as independent and non-interfering during training for modal featur...

Efficient Hydrogen-Rich Syngas Production via Synergistic Tar Cracking and Sorption-Enhanced Steam Gasification of Woody Waste over Ni/CaO Catalysts

Steam gasification of woody waste represents a sustainable pathway for addressing environmental issues with energy recovery. However, challenges such as low hydrogen content and high tar yield severely limit the gasification efficiency and hinder its large-scale application. In t...

Quantifying authenticity in historic districts: an integrated framework of morphological indicators and social perception based on Scenes Theory

Tourism commercialization poses growing challenges to the preservation of authenticity in historic districts. Current conservation practices often focus on physical spaces, yet may overlook the integrity of “Scenes” as an integration of material and intangible elements, potential...

Latent profiles of instrumental and relational generative AI engagement among university students

This study examines how university students engage with generative AI (GenAI) across instrumental and relational domains using two independent, domain-specific exploratory surveys of Chinese university students (Study 1: N = 517; Study 2: N = 508). Study 1 assessed instrumental i...

Firms’ aspiration environmental performance gap and persistent green innovation: does CEO green experience matter?

Purpose This study aims to explore the relationship between firms’ negative and positive aspiration environmental performance gap (AEPG) and persistent green innovation (PGI). At the same time, this study explored the moderating role of CEO green experience in the APEG–PGI relati...

Artificial intelligence technology empowers firms’ export performance: does TMT human capital matter?

Purpose Although the impact of artificial intelligence (AI) technology on firms’ strategic choices and performance has attracted considerable scholarly attention, how it influences firm export performance and how top management team (TMT) human capital moderates this relationship...

Lightweight Asymmetric Convolutional Residual Network for Efficient Motion Image Deblurring

Motion image deblurring remains challenging because many existing models rely on complex architectures, leading to high computational cost and parameter redundancy, particularly under non-uniform blur in real-world scenes. To mitigate these limitations, we propose a Lightweight A...

Liquid Crystal Elastomer‐Based Haptic Pixel Arrays at Your Fingertips for Advanced Human–Machine Interfaces

The sense of touch is underutilized in our digital lives, especially when compared to the prevalence and complexity of information transfer through our visual and auditory interactions with devices; the impact of this is profound as touch plays a major role in our perception of o...

A micro-CT-based “orientation–clustering–stiffness–damage” coupling framework for carbon-fiber/epoxy: From single-fiber scale to component-level failure prediction

A four-order “orientation-clustering-stiffness-damage” coupling framework is proposed for 28–30 vol% carbon-fiber/epoxy short-fiber composites (7 μm nominal fiber diameter, 3–5 mm chopped length), enabling accurate cross-scale failure prediction spanning from 60 μm single-fiber i...

Targeted uterine artery infusion of bone marrow-derived mesenchymal stem cells for severe intrauterine adhesions: a randomized controlled trial with exploratory translational analyses

Severe intrauterine adhesions (IUA) represent a profound failure of endometrial regeneration, characterized by excessive fibrosis and vascular insufficiency. Mesenchymal stem cell-based therapies show regenerative potential, but clinical evidence is inconsistent, and optimal deli...

Broad graph convolutional network: a novel graph convolutional network paradigm without hidden layer

Abstract Graph convolutional networks (GCNs) have shown promising performance in real-world applications involving graph-structured data. To enhance the model’s ability to integrate information from neighbor nodes, GCNs typically expand the receptive field by stacking more layers...

Public perception of urban agricultural heritage systems: based on VR eye-tracking

Urbanization severely threatens the dynamic conservation of Agricultural Heritage Systems (AHS). Focusing on the Haizhu High Bed-Low Ditch Agroecosystem (HHBLDA) in Guangzhou, China—a rare urban AHS facing rapid encroachment—this study integrates the Semantic Differential (SD) me...

Enhancing passing ability of coral aggregate concrete by optimising wet packing density

This study employed sea sand (SS) and coral aggregate (CA) to completely replace river sand and natural coarse aggregate in the production of seawater sea sand coral aggregate concrete (SSCAC). However, the porous characteristics of CA increase the surface friction between the ce...

Leader perfectionism towards employees: a double-edged sword affecting employee innovation behaviour

Purpose Grounded in the cognitive appraisal theory of stress, this study explored the double-edged effect of leader perfectionism towards employees on employee innovation behaviour. Design/methodology/approach A survey was conducted in different types of enterprises across China,...