Yamin Zhao

Second People's Hospital of NanTong

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Jun‐Li Yang

Lanzhou Institute of Chemical Physics

Jialin Wang

Harbin University of Science and Technology

Yan‐Ping Shi

Shihezi University

Jiandong Cui

Tianjin University of Science and Technology

Jianhua Zhang

Zhengzhou University

Guo Xiaomin

Guangzhou University

Shiru Jia

Tianjin University of Science and Technology

Xian‐Hua Meng

Lanzhou Institute of Chemical Physics

Chun‐Yan Sang

Lanzhou Institute of Chemical Physics

Zhiwei Zhou

Sichuan University

Cooperative Institutions

Chinese Academy of Sciences

University of Electronic Science and Technology of China

University of Chinese Academy of Sciences

Harbin Institute of Technology

Sichuan University

Huazhong University of Science and Technology

Sun Yat-sen University

Shanghai Jiao Tong University

Shandong University

Wuhan University

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Stepwise Preparation of Uniform-Size Ultrafine Pt Nanoparticles for High-Performance Catalysis of Methanol Oxidation and Nitrophenol Reduction

ACS Applied Nano Materials (2023)

Wei Li Liang Xian Yamin Zhao Chufeng Sun

Ultrafine Pt nanoparticles (Pt UPs) were prepared using a stepwise modulation approach, ensuring consistent reaction kinetics throughout each step to achieve uniform size and high dispersion of Pt UPs. The morphology of the Pt nanoparticle was precisely controlled by managing the reaction conditions at each step, thereby enhancing the catalytic activity of the Pt metals. In order to form photoinduced hydrolysis products with different dispersions and particle sizes, two steps were conducted. First, homogeneously dispersed photoinduced hydrolysis products were adsorbed on nitrogen-doped multiwalled carbon nanotubes using ice photochemistry under stabilizer-free conditions. Second, these products were photoinduced by using different wavelengths of light. Subsequent in situ reduction with various reducing agents influenced the composition, particle size, and dispersion degree of the Pt UPs. Furthermore, the subtle charge transfer between the supporter and Pt was adjusted by employing low- and high-temperature nitrogen doping methods, resulting in Pt UPs with electron-deficient and electron-rich charge structures on the surface. This study offers insights into the precise modulation of the Pt nanoscale morphology and reveals the subtle adjustments in charge transfer between the supporter and the metal through nitrogen doping. Additionally, the origin of the catalytic activity of Pt in various reactions was explored.

4-Nitrophenol

10.1021/acsanm.3c03653

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Surfactant-activated lipase hybrid nanoflowers with enhanced enzymatic performance

Scientific Reports (2016)

Jiandong Cui Yamin Zhao Ronglin Liu Cheng Zhong Shiru Jia

Abstract Increasing numbers of materials have been extensively used as platforms for enzyme immobilization to improve catalytic performance. However, activity of the most of the enzymes was declined after immobilization. Here, we develop a surfactant-activated lipase-inorganic flowerlike hybrid nanomaterials with rational design based on interfacial activation and self-assembly. The resulting surfactant-activated lipase-inorganic hybird nanoflower (activated hNF-lipase) exhibited 460% and 200% higher activity than native lipase and conventional lipase-inorganic hybird nanoflower (hNF-lipase). Furthermore, the activated hNF-lipase displayed good reusability due to its monodispersity and mechanical properties, and had excellent long-time stability. The superior catalytic performances were attributed to both the conformational modulation of surfactants and hierarchical structure of nanoflowers, which not only anchored lipases in an active form, but also decreased the enzyme-support negative interaction and mass-transfer limitations. This new biocatalytic system is promising to find widespread use in applications related to biomedicine, biosensor, and biodiesel.

Nanoflower

Thermostability

10.1038/srep27928

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Citations (154)

Evolution of some important principles on decommissioning of nuclear and radiation facilities

Radiation Protection (Taiyuan) (2004)

Yamin Zhao Wu Hao Min Ye

Nuclear decommissioning

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Further sesquiterpenoids from the rhizomes of Homalomena occulta and their anti-inflammatory activity

Bioorganic & Medicinal Chemistry Letters (2019)

Jun‐Li Yang Trọng Tuấn Đào Tran Thi Hien Yamin Zhao Yan‐Ping Shi

Phytochemical

Anti-inflammatory

10.1016/j.bmcl.2019.03.031

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Citations (28)

Research on Intensive Facts about Explicit Case of Tacit Knowledge

Procedia Engineering (2017)

Zhang Mengmeng Yamin Zhao Zhiwei Zhou Guo Xiaomin

In the current knowledge-based economy, the role of knowledge resources in cultivating the core competitiveness of enterprises has become increasingly prominent, especially those difficult to encode, and highly personalized tacit knowledge, but also play a multiplier role. Tacit knowledge determines the effective level of human knowledge application and knowledge innovation. Attribute reduction is an important part of the construction of case knowledge system. In this paper, through several methods of attribute reduction, they are AHP, PCA, CV, Entropy Method and RS, comparative analysis them from the method theory, advantages and disadvantages, applicable objects and areas of application, combined with the characteristics of tacit knowledge itself index data, the rough set is innovatively applied to the tacit knowledge dominance case, and uses this theory to carry on the attribute reduction to the case storehouse carries on the numerical simulation, but also proved that the algorithm more in line with the practical application needs, but also more feasible and effective.

Tacit Knowledge

Knowledge Economy

10.1016/j.proeng.2017.01.145

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A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods

Scientific Reports (2024)

Jue Gu Yamin Zhao Yue Ben Siming Zhang Liqi Hua

Hypertrophic cardiomyopathy (HCM) may lead to cardiac dysfunction and sudden death. This study was designed to develop a HCM signature applying bioinformatics and machine learning methods. Data of HCM and normal tissues were obtained from public databases to screen differentially expressed genes (DEGs) using the R software limma package. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed for enrichment analysis of HCM-associated DEGs. Hub genes for HCM were determined using weighted gene co-expression network analysis (WGCNA) together with two machine learning algorithms (SVM-RFE and LASSO). Finally, we introduced a zebrafish model to simulate changes in the hub genes in the HCM and to observe their effects on cardiac disease development. The mRNA expression data from a total of 106 HCM tissues and 39 normal samples were collected and we screened 157 DEGs. Enrichment analysis showed that immune pathways played an important role in the pathogenesis of HCM. Three hub genes (FCN3, MYH6 and RASD1) were identified using WGCNA, SVM-RFE, and LASSO analysis. In a zebrafish model, knockdown of MYH6 and RASD1 resulted in cardiac malformations with reduced ventricular capacity and heart rate, which validated the clinical significance of these genes in the diagnosis of HCM. Based on machine learning algorithms, our study created a signature with potential impact on cardiac function and cardiac quality index for HCM. The current findings had important implications for the early diagnosis and treatment of HCM.

KEGG

Lasso

10.1038/s41598-024-67201-8

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Several chromones from the stems of Polygonum aubertii Henry

Journal of Asian Natural Products Research (2010)

Yamin Zhao Huan‐Yang Qi Yan‐Ping Shi

Two new 2-alkylchromanones, 2-tricosyl-2,5,7-trihydroxy-chromanone (6) and 2-pentacosyl-2,5,7-trihydroxy-chromanone (7), together with five known 2-alkylated chromones and chromanones (1–5), were isolated from the stems of Polygonum aubertii Henry. The structures of these compounds were established by spectroscopic methods including extensive 1D, 2D NMR (1H-1H COSY, HSQC, and HMBC), and HR-ESI-MS techniques. In addition, a plausible biosynthetic pathway for these compounds is described.

Polygonum

Polygonaceae

Proton NMR

10.1080/10286020.2010.485128

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Phytochemicals and Biological Activities of Dipsacus Species

Chemistry & Biodiversity (2011)

Yamin Zhao Yan‐Ping Shi

Abstract The plants of genus Dipsacus , with a wide distribution in Europe, Asia, and Africa, have been used as medicinal agents to treat several diseases, including lime disease, fibromyalgia, bone fracture, and abortion, and especially the Alzheimer 's disease and cancer. A large number of studies on plants of genus Dipsacus has revealed cytoprotective properties, inhibition of HIV‐1 reverse transcriptase, antinociceptive, and antimicrobial effects, etc. This review compiles all chemical constituents isolated, mainly triterpenoids, iridoids, phenolics, and alkaloids, from the genus Dipsacus over the past few decades together with their structural features, biological activities, and structureactivity relationships.

10.1002/cbdv.201000022

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Citations (38)

Research on Tacit Knowledge Acquisition Based on Gray Theory and RBF Neural Network

MATEC Web of Conferences (2017)

Guo Xiaomin Zhiwei Zhou Yamin Zhao Mengmeng Zhang Lian Zhikang

In the era of knowledge economy, Knowledge has become the main means of production and the core source for value creation. However, especially tacit knowledge acquisition, knowledge acquisition is bottleneck in all kinds of knowledge system, cutting down the benefit of knowledge sharing, application and innovation. In view of this, in this paper, the main ideas and deficiencies of the existing methods of knowledge acquisition are generalized. And then, the basic principles, characteristics and the integrated advantage of gray theory and RBF neural networks are analyzed. On this basis, three kinds of models are designed and discussed, which is able to obtain tacit rule set by using gray theory integrated with RBF neural network. Simultaneously, an empirical analysis is carried out to analyze application results of tacit knowledge acquisition, which includes five kinds of models using independent and integrated strategies.

Tacit Knowledge

Knowledge Acquisition

Explicit knowledge

10.1051/matecconf/201710005016

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高アスペクト比の小型内部構造の精密測定のための球状散乱電場プローブの表面電荷分布と点プロービング特性の定量的研究【JST・京大機械翻訳】

Applied Sciences (Web) (2020)

Xingyuan Bian Junning Cui Yesheng Lu Yamin Zhao Zhongyi Cheng

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