R
Ronghui Ma
Researcher at University of Maryland, Baltimore County
Publications - 73
Citations - 1467
Ronghui Ma is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Dislocation & Heat generation. The author has an hindex of 20, co-authored 71 publications receiving 1185 citations. Previous affiliations of Ronghui Ma include Stony Brook University.
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Controlling nanoparticle delivery in magnetic nanoparticle hyperthermia for cancer treatment: Experimental study in agarose gel
TL;DR: By adjusting the gel concentration and injection flow rate, the results have demonstrated that a relatively low injection rate leads to a spherically shaped nanofluid distribution in the gels which is desirable for controlling temperature elevations.
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Nanoparticle distribution and temperature elevations in prostatic tumours in mice during magnetic nanoparticle hyperthermia
TL;DR: In vivo animal experiments on implanted prostatic tumours in mice to measure temperature distribution in the tumour during magnetic nanoparticle hyperthermia and the increase in the nanoparticle distribution volume after the heating suggests possible nanoparticle re-distribution in the malignant tumours during the heating.
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An in-vivo experimental study of temperature elevations in animal tissue during magnetic nanoparticle hyperthermia.
TL;DR: It has been shown that the nanoparticles are more concentrated in the vicinity of the injection site when the injection amount is bigger, and the feasibility of elevating the tissue temperature above 43°C under the experimental protocol and equipment used in this study is demonstrated.
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Bulk multicrystalline silicon growth for photovoltaic (PV) application
TL;DR: In this article, two major types of casting furnaces, direct solidification system and heat exchange method system, were compared from the aspects of thermal field, crystal quality and related numerical simulations.
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Enhancement in treatment planning for magnetic nanoparticle hyperthermia: optimization of the heat absorption pattern.
TL;DR: An optimization algorithm is developed to inversely determine the optimum heating patterns induced by multiple nanoparticle injections in tumor models with irregular geometries to help physicians to design an optimal treatment plan in magnetic nanoparticle hyperthermia.