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Rong Hua Xiong

Researcher at Nanchang Hangkong University

Publications -  7
Citations -  26

Rong Hua Xiong is an academic researcher from Nanchang Hangkong University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

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Actuation and biomedical development of micro/nanorobots – a review

TL;DR: In this paper , the authors introduce and review some of the most influential and advanced research work carried out over the past few years in the field of micro-nanorobotics, focusing on medical applications such as such as the delivery of medical supplies, medical imaging and so on.
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Artificial Intelligence-Assisted Bioinformatics, Microneedle, and Diabetic Wound Healing: A "New Deal" of an Old Drug.

TL;DR: The microneedle (MN) minimally invasive way to pierce the skin barrier for drug administration is developed and a swelling modified MN-mediated patch loaded with TSA is developed to reduce the probability of injection-caused iatrogenic secondary damage and find a broad spectrum of applications in related biomedical fields.
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Unmanned Aerial Vehicle Mediated Drug Delivery for First Aid

TL;DR: In this article , an unmanned aerial vehicle (UAV)-mediated first-aid system for targeted delivery (uFAST) is developed, which allows unattended administration of emergency therapeutics-loaded transdermal microneedle (MN) patches toward patients to relieve symptoms by a contact-triggered micronedle applicator (CTMA).
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Study on Duel Photo-Curing Properties of Quaternary Ammonium Salt Ionic Liquid as Photobase Generator

TL;DR: Two quaternary ammonium tetraphenyl borates salt photobase generators were synthesized using 2-naphthoymethylene as chromophores, and triethylene diamine, pyridine as discussed by the authors.
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Leveraging BEV Representation for 360-degree Visual Place Recognition

TL;DR: Zhang et al. as discussed by the authors proposed a novel network architecture that utilizes the BEV representation in feature extraction, feature aggregation, and vision-LiDAR fusion, which bridges visual cues and spatial awareness.