K. Chola Raja^1,*, S. Kannimuthu²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 741-755, 2023, DOI:10.32604/csse.2023.025331 - 01 June 2022

Abstract Autism Spectrum Disorder (ASD) requires a precise diagnosis in order to be managed and rehabilitated. Non-invasive neuroimaging methods are disease markers that can be used to help diagnose ASD. The majority of available techniques in the literature use functional magnetic resonance imaging (fMRI) to detect ASD with a small dataset, resulting in high accuracy but low generality. Traditional supervised machine learning classification algorithms such as support vector machines function well with unstructured and semi structured data such as text, images, and videos, but their performance and robustness are restricted by the size of the accompanying… More >

Di Yin^*†1, Yang Li^*1, Baofeng Guo^‡, Zhewen Liu^*, Yang Xu^§, Xiaoqin Wang^*, Yanwei Du^*, Libo Xu^*, Yan Meng^*, Xuejian Zhao^*, Ling Zhang^*

Oncology Research, Vol.23, No.5, pp. 229-236, 2015, DOI:10.3727/096504016X14550280421449

Abstract RNA interference (RNAi) has been used for cancer gene therapy in recent years. However, the application of RNAi is hindered in the absence of safe and efficient gene delivery. In this article, a novel vehicle of graphene oxide functionalized with polyethylenimine and polyethylene glycol (GO-PEI-PEG) was successfully synthetized and then used to deliver plasmid-based Stat3 siRNA. The carrier can readily bind plasmid with high transfection efficiency. Moreover, molecular biology studies reveal that Stat3-related gene and protein expressions were significantly inhibited, suggesting that the formation of GO-PEI-PEG complexes could be utilized as a promising gene delivery More >