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3篇 您的检索式:作者名="Tangyi Li"
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1Effect of different twirling and rotating acupuncture manipulation techniques on the blood flow perfusion at acupoints显示文摘OBJECTIVE: To analyze the effect of different twirling and rotating acupuncture manipulation techniques on the blood flow perfusion at acupoints to provide a reference for the study of acupoint specificity and the quantification and effectiveness of acupuncture methods. METHODS: Twenty healthy male or female college students each received four different acupuncture manipulation techniques, including simple acupuncture, uniform reinforcing-reducing needling, twirling reinforcing needling, and twisting reducing needling. The self-control method was applied. Acupuncture was performed by an acupuncture manipulation simulator at Neiguan (PC 6) and Zusanli (ST 36). The process of twirling and rotating was divided into seven timepoints. The PeriCam Perfusion Speckle Imager (PSI) System was used to collect the blood flow perfusion data at each acupoint. The specificity of twirling and rotating acupuncture manipulation was analyzed based on changes in the curve, video, and numerical blood flow perfusion data at each timepoint. RESULTS: There were two peaks in the blood flow perfusion curve of twirling and rotating acupuncture manipulation;one appeared after 3 min of needle retention, and the other appeared 3 min after needle removal. The blood flow perfusion parameters showed that the greatest differences between the four manipulation techniques occurred after 5 and 10 min of needle retention. The specificity of various manipulation techniques was most obvious at these two timepoints. There were significant differences between the four manipulation groups in the blood flow perfusion and the relative change rates of blood flow perfusion at each timepoint. CONCLUSION: Laser speckle imaging enables the real-time, non-invasive, rapid, and accurate collection of blood flow perfusion data during acupuncture. This imaging technique enables the easy attainment of various parameters such as visual images, two-dimensional curves, and data tables. At various timepoints, the four groups significantly differed regarding changes in blood flow perfusion and relative change rates of blood flow perfusion, which facilitated the differentiation of the four acupuncture manipulation methods. Based on this, further analysis could be conducted to study spatial distribution characteristics such as the influence area and flare area. The frequency domain analysis of acupuncture manipulation curves is important in the study of the dose-effect relationship and specificity of acupuncture manipulation.Xu Gang Xi Qianhui Tang Wenchao Liu Tangyi Gao Ming Li Shaoxiong Wen Junling Yang Huayuan 2019Journal of Traditional Chinese Medicine2019,39,5:3
2Modulating proton binding energy on the tungsten carbide nanowires surfaces for boosting hydrogen evolution in acid显示文摘ungsten carbides have attracted wide attentions as Pt substitute electrocatalysts for hydrogen evolution reaction (HER), due to their good stability in an acid environment and Pt-like behaviour in hydrolysis. However, quantum chemistry calculations predict that the strong tungsten-hydrogen bonding hinders hydrogen desorption and restricts the overall catalytic activity. Synergistic modulation of host and guest electronic interaction can change the local work function of a compound, and therefore, improve its electrocatalytic activity over either of the elements individually. Herein, we develop a creative and facile solid-state approach to synthesize self-supported carbon-encapsulated single-phase WC hybrid nanowires arrays (nanoarrays) as HER catalyst. The theoretical calculations reveal that carbon encapsulation modifies the Gibbs free energy of H* values for the WC adsorption sites, endowing a more favorable C@WC active site for HER. The experimental results exhibit that the hybrid WC nanoarrays possess remarkable Pt-like catalytic behavior, with superior activity and stability in an acidic media, which can be compared to the best non-noble metal catalysts reported to date for hydrogen evolution reaction. The present results and the facile synthesis method open up an exciting avenue for developing cost-effective catalysts with controllable morphology and functionality for scalable hydrogen generation and other carbide nanomaterials applicable to a range of electrocatalytic reactions.Qjngshui Hong Tangyi Li Shisheng Zheng Haibiao Chen Wenju Ren Honghao Chu Kuangda Xu Zongwei Mei Feng Pan 2021Journal of Energy Chemistry2021,30,11:1
3Topological representations of crystalline compounds for the machine-learning prediction of materials properties显示文摘Accurate theoretical predictions of desired properties of materials play an important role in materials research and development.Machine learning(ML)can accelerate the materials design by building a model from input data.For complex datasets,such as those of crystalline compounds,a vital issue is how to construct low-dimensional representations for input crystal structures with chemical insights.In this work,we introduce an algebraic topology-based method,called atom-specific persistent homology(ASPH),as a unique representation of crystal structures.The ASPH can capture both pairwise and many-body interactions and reveal the topology-property relationship of a group of atoms at various scales.Combined with composition-based attributes,ASPH-based ML model provides a highly accurate prediction of the formation energy calculated by density functional theory(DFT).After training with more than 30,000 different structure types and compositions,our model achieves a mean absolute error of 61 meV/atom in cross-validation,which outperforms previous work such as Voronoi tessellations and Coulomb matrix method using the same ML algorithm and datasets.Our results indicate that the proposed topology-based method provides a powerful computational tool for predicting materials properties compared to previous works.Yi Jiang Dong Chen Xin Chen Tangyi Li Guo-Wei Wei Feng Pan 2021npj Computational Materials2021,,1:1
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