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- 저자 : Xiangyu Ma (검색결과 4 건)
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Polymeric nanomedicines for poorly soluble drugs in oral delivery systems: an update
Xiangyu Ma,Robert O. Williams III 한국약제학회 2018 Journal of Pharmaceutical Investigation Vol.48 No.1
The field of nanomedicine offers promising new drug delivery systems with enhanced properties. The literature has reported on the development of various nanomedicines that are more beneficial than conventional drug delivery systems. These increased benefits are due to their size, morphology, and surface properties. Nanomedicines include different forms of drugcontaining polymeric nanoparticles. These nanoparticles have been investigated to improve the bioavailability, solubility, permeability, stability, and therapeutic efficacy of drugs. The oral route of administration has gained interest because of its ease of delivery and its convenience, which results in higher compliance. However, the low solubility of many drugs hinders their successful development into dosage forms for oral administration. In addition, biological barriers hinder the absorption of drugs into systematic circulation, resulting in low therapeutic efficacy. Polymeric nanoparticle drug delivery systems have been reported as a method for overcoming low drug solubility and overcoming biological barriers to absorption. This review discusses the biological barriers to oral delivery as well as the challenges and benefits of oral delivery. This review also examines the characteristics of drug-containing polymeric nanomedicines as drug delivery systems and the various applications of these systems.
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A Method for Generating Malware Countermeasure Samples Based on Pixel Attention Mechanism
Xiangyu Ma,Yuntao Zhao,Yongxin Feng,Yutao Hu 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2
Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.
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Jinzhen Ma,Liyuan Hou,Ping Li,Shumin Zhang,Xiangyu Zheng 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.2
To explore cheap, easily available and high adsorption performance bioadsorbent is still an important task for azo dye pollution control. In this study, the Methyl orange (MO) adsorption capacity by a novel bioadsorbent obtained from lychee and longan pericarps via simple modification was investigated. Prepared pericarps were modified by PEI at 30˚C and 65˚C, which improved the adsorption performance confirmed by batch adsorption experiments. The characteration of modified pericarps by X-ray diffraction, scanning electron microscopy and zeta potential indicated that the enhanced adsorption performance may be due to the abundant amines and imines and stronger electropositivity. The maximum adsorption capacity (349.37 mg/g) was observed for LC@PEI-65 at 45˚C and pH 4. Freundlich isotherm model fitted pretty well with the isotherm experiment data, and the isotherm experimental data were preferably described by pseudo-second order model indicating the chemical adsorption process, and the intra-particle diffusion also involved in the adsorption process. Characterization and adsorption tests suggested electrostatic interaction played a key role in MO removal, accompanied by intermolecular hydrogen bond, π-π dispersion interaction and pore filling collectively. The present study show that the cost-effective PEI modified pericarps could possess a hopeful application for azo dye removal from wastewater.
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Liao Hongdong,Wen Xiangyu,Deng Xuelei,Wu Yonghong,Xu Jianping,Li Xin,Zhou Shudong,Li Xuefeng,Zhu Chunhui,Luo Feng,Ma Yanqing,Zheng Jingyuan 한국미생물학회 2022 The journal of microbiology Vol.60 No.5
Infection by Sclerotium rolfsii will cause serious disease and lead to significant economic losses in chili pepper. In this study, the response of pepper during S. rolfsii infection was explored by electron microscopy, physiological determination and integrated proteome and metabolome analyses. Our results showed that the stomata of pepper stems were important portals for S. rolfsii infection. The plant cell morphology was significantly changed at the time of the fungal hyphae just contacting (T1) or surrounding (T2) the pepper. The chlorophyll, carotenoid, and MDA contents and the activities of POD, SOD, and CAT were markedly upregulated at T1 and T2. Approximately 4129 proteins and 823 metabolites were clearly identified in proteome and metabolome analyses, respectively. A change in 396 proteins and 54 metabolites in pepper stem tissues was observed at T1 compared with 438 proteins and 53 metabolites at T2. The proteins and metabolites related to photosynthesis and antioxidant systems in chloroplasts and mitochondria were disproportionally affected by S. rolfsii infection, impacting carbohydrate and amino acid metabolism. This study provided new insights into the response mechanism in pepper stems during S. rolfsii infection, which can guide future work on fungal disease resistance breeding in pepper.
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