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In Situ Growth of 3D Hierarchical ZnO@Ni_xCo_(1-x)(OH)_y Core/Shell Nanowire/Nanosheet Arrays on Ni Foam for High-Performance Aqueous Hybrid Supercapacitors 被引量:1
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作者 Fumin Wang mengchao liu +2 位作者 Xubin Zhang Guojun Lv Mingshuai Sun 《Transactions of Tianjin University》 EI CAS 2018年第3期201-211,共11页
In this study, we designed and synthesized a novel battery-type electrode featuring three-dimensional(3D) hierarchical ZnO@Ni_xCo_(1-x)(OH)_y core/shell nanowire/nanosheet arrays arranged on Nifoam substrate via a two... In this study, we designed and synthesized a novel battery-type electrode featuring three-dimensional(3D) hierarchical ZnO@Ni_xCo_(1-x)(OH)_y core/shell nanowire/nanosheet arrays arranged on Nifoam substrate via a two-step protocol including a wet chemical process followed by electro-deposition. We then characterized its composition, structure and surface morphology by X-ray diff raction, energy-dispersive X-ray spectrometry(EDS), X-ray photoelectron spectroscopy, scanning electron microscopy(SEM), transmission electron microscopy, EDS elemental mapping. Our electrochemical measurements show that the ZnO@Ni_(0.67)Co_(0.33)(OH)_y electrode material exhibited a noticeably high specific capacity of as much as 255(mA ·h)/g at 1 A/g. Additionally, it demonstrated a superior rate capability, as well as an excellent cycling stability with 81.6% capacity retention over 2000 cycles at 5 A/g. This sample delivered a high energy density of 64 W·h/kg and a power density of 250 W/kg at a current density of 1 A/g. With such remarkable electrochemical properties, we expect the 3D hierarchical hybrid electrode material presented in this work to have promising applications for the next generation of energy storage systems. 展开更多
关键词 ZnO@NixCo1-x(OH)y Core/shell nanowire/nanosheet array Supercapacitor Ni foam
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Proteomic analysis of a chronic obstructive pulmonary disease mouse model to determine the efficacy of treatment using Guben Zhike decoction
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作者 Mingzhe Wang Guoxing liu +6 位作者 Yao Xiao Zhe Cai Chang liu Lin Pan Ying liu mengchao liu Hongchun Zhang 《Journal of Traditional Chinese Medical Sciences》 2021年第1期34-42,共9页
Background:Guben Zhike decoction(GBZKD)is derived from the experience of Professor Enxiang Chao,an esteemed master of Chinese medicine,while treating chronic obstructive pulmonary disease(COPD).GBZKD reinforces the he... Background:Guben Zhike decoction(GBZKD)is derived from the experience of Professor Enxiang Chao,an esteemed master of Chinese medicine,while treating chronic obstructive pulmonary disease(COPD).GBZKD reinforces the healthy qi and consolidates defensive qi.This study explored the efficacy and potential mechanism of action of GBZKD in a COPD mouse model using proteomics.Methods:A COPD mouse model was established through cigarette smoke exposure and intranasal lipopolysaccharide administration.The model was verified through lung function test and lung histopathological observation.Label-free quantitative proteomics was used to detect the lung tissue proteins of mice from the GBZKD,COPD,and control groups.Results:GBZKD markedly improved the lung function and associated pathological conditions in the COPD mouse model.Proteomic analysis identified 4316 proteins,of which 3696 were quantitative proteins.We highlighted 287 and 184 proteins with significant regulatory roles in the lung tissues of COPD mice and GBZKD-treated mice,respectively.These proteins participated in multiple functions,including complement/coagulation cascade,immune response,and metabolic pathways.Conclusion:GBZKD exhibits multitarget and multipathway therapeutic effects in a COPD mouse model. 展开更多
关键词 Guben zhike decoction Chronic obstructive pulmonary disease Proteomic analysis Mouse model
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Optimization study of spherical tuyere based on BP neural network and new evaluation index
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作者 mengchao liu Ran Gao +1 位作者 Yi Wang Angui Li 《Building Simulation》 SCIE EI CSCD 2024年第2期223-234,共12页
The energy consumption of heating,ventilation,and air conditioning(HVAC)systems holds a significant position in building energy usage,accounting for about 65%of the total energy consumption.Moreover,with the advanceme... The energy consumption of heating,ventilation,and air conditioning(HVAC)systems holds a significant position in building energy usage,accounting for about 65%of the total energy consumption.Moreover,with the advancement of building automation,the energy consumption of ventilation systems continues to grow.This study focuses on improving the performance of spherical tuyeres in HVAC systems.It primarily utilizes neural networks and multi-island genetic algorithms(MIGA)for multi-parameter optimization.By employing methods such as structural parameterization,accurate and fast computational fluid dynamics(CFD)simulations,a minimized sample space,and a rational optimization strategy,the time cycle of the optimization process is shortened.Additionally,a new comprehensive evaluation index is proposed in this research to describe the performance of spherical tuyeres,which can be used to more accurately assess spherical tuyeres with different structures.The results show that by establishing a neural network prediction model and combining it with the multi-island genetic algorithm,a novel spherical tuyere design was successfully achieved.The optimized novel spherical tuyeres achieved a 27.05%reduction in the spherical tuyeres effective index(STEI)compared to the traditional spherical tuyeres.Moreover,the resistance decreased by 15.68%,and the jet length increased by 7.57%.The experimental results demonstrate that our proposed optimization method exhibits high accuracy,good generalization capability,and excellent agreement at different Reynolds numbers. 展开更多
关键词 spherical tuyeres STEI CFD ventilation
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