A5086946674- Advanced biosensing and bioanalysis techniques
- Family Business Performance and Succession
- Privacy-Preserving Technologies in Data
- Entrepreneurship Studies and Influences
- Corporate Finance and Governance
- Domain Adaptation and Few-Shot Learning
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Stochastic Gradient Optimization Techniques
- Advanced Data Processing Techniques
- Biosensors and Analytical Detection
- Extracellular vesicles in disease
- Multimodal Machine Learning Applications
- Neural Networks and Applications
- Nanopore and Nanochannel Transport Studies
- Brain Tumor Detection and Classification
- Digital Games and Media
- Internet Traffic Analysis and Secure E-voting
- Adversarial Robustness in Machine Learning
- Nanoplatforms for cancer theranostics
- Mobile Crowdsensing and Crowdsourcing
- Innovation and Knowledge Management
- Carbon and Quantum Dots Applications
- Zebrafish Biomedical Research Applications
- Plant-Microbe Interactions and Immunity
Air Force Engineering University
2021-2025
Capital Medical University
2025
Nanjing University
2019-2024
First Affiliated Hospital of Guangzhou Medical University
2015-2024
Guangzhou Medical University
2015-2024
Guangxi Medical University
2012-2024
Guangzhou University of Chinese Medicine
2024
Shenyang Agricultural University
2023-2024
China University of Mining and Technology
2024
Sun Yat-sen University
2008-2023
Does CEO duality – the practice of one person serving both as a firm's and board chair contribute to or inhibit firm performance? Agency theory suggests that is bad for performance because it compromises monitoring control CEO. Stewardship theory, in contrast, argues may be good due unity command presents. The empirical evidence, largely from developed economies, inconclusive. This article joins debate by extending work unexplored context institutional transitions. Our findings, based on an...
Controlled drug delivery and real-time tracking of release in cancer cells are essential for therapy. Herein, we report a protease-responsive prodrug (DOX-FCPPs-PyTPE, DFP) with aggregation-induced emission (AIE) characteristics controlled precise living cells. DFP consists three components: AIE-active tetraphenylethene (TPE) derivative PyTPE, functionalized cell penetrating peptides (FCPPs) containing peptide (CPP) short (LGLAG) that can be selectively cleaved by cancer-related enzyme...
Federated Learning (FL) aims to generate a global shared model via collaborating decentralized clients with privacy considerations. Unlike standard distributed optimization, FL takes multiple optimization steps on local and then aggregates the updates parameter server. Although this significantly reduces communication costs, non-iid property across heterogeneous devices could make update diverge lot, posing fundamental challenge aggregation. In paper, we focus special kind of scene, i.e.,...
Exosomes are emerging as promising biomarkers for cancer diagnosis, yet sensitive and accurate quantification of tumor-derived exosomes remains a challenge. Here, we report an ultrasensitive specific exosome sensor (NPExo) that initially leverages hierarchical nanostructuring array primer exchange reaction (PER) quantitation cancerous exosomes. This NPExo uses high-curvature (bottom) fabricated by single-step electrodeposition to enhance capturing the target The immuno-captured thus provides...
Brassica napus (B. napus) encompasses diverse transcription factors (TFs), but thorough identification and characterization of TF families, as well their transcriptional responsiveness to multifarious stresses are still not clear.Totally 2167 TFs belonging five families were genome-widely identified in B. napus, including 518 BnAP2/EREBPs, 252 BnbZIPs, 721 BnMYBs, 398 BnNACs 278 BnWRKYs, which contained some novel members comparison with existing results. Sub-genome distributions...
Interfacial DNA self-assembly is fundamental to solid nucleic acid biosensors, whereas how improve the signal-to-noise ratio has always been a challenge, especially in charge-based electrochemical sensors because of large noise from negatively charged capture probes. Here, we report framework-reversed signal-gain strategy through background-to-signal transition for ultrasensitive and highly specific electrical detection microRNAs (miRNAs) blood. By using model enzyme-catalyzed deposition...
Abstract Integrating theories of psychological ownership and stewardship, taking a relational perspective, we examine key antecedents outcomes professional managers' in Chinese owner-managed family businesses. We tested the model using survey 166 managers (one from each businesses). find that owner–manager relationship closeness at work mediates effect both owner's benevolent leadership friendship ties on manager's ownership. Psychological ownership, turn, is positively related to intention...
An analysis and evaluation of the power supply scheme for unmanned aerial vehicles (UAVs) based on wireless charging technology (WCT) is carried out UAV energy replenishment automation. Firstly, structural composition, working principles, characteristics five types WCTs, namely microwave, laser, electromagnetic induction, electric field coupling, magnetic coupling resonance, are analyzed. Subsequently, an index system WCT established from perspectives functional performance characteristics,...
Pulmonary hypertension (PH) is a fatal pulmonary vascular disease. The standard diagnosis of PH heavily relies on an invasive technique, i.e., right heart catheterization, which leads to delay in and serious consequences. Noninvasive approaches are crucial for detecting as early possible; however, it remains challenge, especially mild patients. To address this issue, we present new fully automated framework, hereinafter referred PHNet, noninvasively patients, improving the detection accuracy...
Nature owns remarkable capabilities in sensing target molecules, while the artificial biosensor lags far behind nature. Inspired by nature, we devise a new platform that can specifically bind molecules and synchronously initiate specific signal response. We rationally designed type of bipolar probe is comprised hydrophilic DNA part hydrophobic conjugated polymer (CP) unit. In aqueous solution, they form micelles with CP core shell. The aggregation-caused quenching suppresses fluorescence CP....
Pharmaceutical safety testing requires a cheap, fast and highly efficient platform for real-time evaluation of drug toxicity secondary effects. In this study, we have developed microfluidic system phenotype-based toxic teratogenic effects drugs using zebrafish (Danio rerio) embryos larvae as the model organism. The chip is composed two independent functional units, enabling assessment larvae. Each unit consists fluidic concentration gradient generator row seven culture chambers to...
A transgenerational leadership transition is one of the most critical events in life cycle family firms. Drawing upon myopic loss aversion (MLA) perspective, we argue that outgoing leaders and other company stakeholders tend to closely watch later-generation successors immediately after a succession, thus will focus on short-term developments invest less R&D activities. Employing difference-in-differences approach, find empirical support for our argument succession decreases intensity....
Deep learning is a popular topic in machine and artificial intelligence research has achieved remarkable results various fields. In geological remote sensing, mineral mapping an appealing application of hyperspectral sensing for surveyors. Whether deep can improve the identification ability images, especially discrimination spectrally similar intimately mixed minerals, needs to be evaluated. this study, shortwave airborne spectrographic imager (SASI) images Baiyanghe uranium deposit...
Federated Learning (FL) fuses collaborative models from local nodes without centralizing users' data. The permutation invariance property of neural networks and the non-i.i.d. data across clients make locally updated parameters imprecisely aligned, disabling coordinate-based parameter averaging. Traditional neurons do not explicitly consider position information. Hence, we propose Position-Aware Neurons (PANs) as an alternative, fusing position-related values (i.e., encodings) into neuron...
Abstract Background Artificial intelligence has been proposed for brain metastasis (BM) segmentation but it not fully clinically validated. The aim of this study was to develop and evaluate a system BM segmentation. Methods A deep-learning-based (BMSS) developed using contrast-enhanced MR images from 488 patients with 10338 metastases. randomized crossover, multi-reader then conducted the performance BMSS data prospectively collected 50 203 metastases at 5 centers. Five radiology residents...