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8篇 您的检索式:作者名="Gao Shouwei"
    题名 作者 年代 出处 被引量
1Namib desert beetle inspired special patterned fabric with programmable and gradient wettability for efficient fog harvesting显示文摘Efficient collection of water from fog provides a potential solution to solve the global freshwater shortage problem, particularly in the desert or arid regions. In this work, a flexible and highly efficient fog collector was prepared by mimicking the back exoskeleton structure of the Namib desert beetle. The improved fog collector was constructed by a superhydrophobic-superhydrophilic patterned fabric via a simple weaving method, followed by in-situ deposition of copper particles. Compared with the conventional fog collector with a plane structure, the fabric has shown a higher water-harvesting rate at 1432.7 mg/h/cm2,owing to the biomimetic three-dimensional structure, its enhanced condensation performance enabled by the copper coating and the rational distribution of wetting units. The device construction makes use of the widely available textile materials through mature manufacturing technology, which makes it highly suitable for large-scale industrial production.Zhihua Yu Huimei Zhang Jianying Huang Shuhui Li Songnan Zhang Yan Cheng Jiajun Mao Xiuli Dong Shouwei Gao Shanchi Wang Zhong Chen Yaoxing Jiang Yuekun Lai 2021Journal of Materials Science & Technology2021,,2:5
2Origin of High Efficiency and Long-Term Stability in Ionic Liquid Perovskite Photovoltaic显示文摘Environment-friendly protic amine carboxylic acid ionic liquids(ILs)as solvents is a significant breakthrough with respect to traditional highly coordinating and toxic solvents in achieving efficient and stable perovskite solar cells(PSCs)with a simple one-step air processing and without an antisolvent treatment approach.However,it remains mysterious for the improved efficiency and stability of PSCs without any passivation strategy.Here,we unambiguously demonstrate that the three functions of solvents,additive,and passivation are present for protic amine carboxylic acid ILs.We found that the ILs have the capability to dissolve a series of perovskite precursors,induce oriented crystallization,and chemically passivate the grain boundaries.This is attributed to the unique molecular structure of ILs with carbonyl and amine groups,allowing for strong interaction with perovskite precursors by forming C=O…Pb chelate bonds and N-H…I hydrogen bonds in both solution and film.This finding is generic in nature with extension to a wide range of IL-based perovskite optoelectronics.Lingfeng Chao Tingting Niu Hao Gu Yingguo Yang Qi Wei Yingdong Xia Wei Hui Shouwei Zuo Zhaohua Zhu Chengjie Pei Xiaodong Li Jing Zhang Junfeng Fang Guichuan Xing Hai Li Xiao Huang Xingyu Gao Chenxin Ran Lin Song Li Fu Yonghua Chen Wei Huang 2020Research2020,,1:2
3An enhanced NEH method in solving permutation flow shop problem显示文摘GAO Shouwei LIN Chen 0,,:1
4Mutation in the gene encoding 1-aminocyclopropane-1-carboxylate synthase 4 (CitACS4) led to andromonoecy in watermelon显示文摘Although it has been reported previously that ethylene plays a critical role in sex determination in cucurbit species, how the andromonoecy that carries both the male and hermaphroditic flowers is determined in watermelon is still unknown. Here we showed that the watermelon gene 1-aminocyclopropane-1-carboxylate synthase 4(Cit ACS4), expressed specifically in carpel primordia, determines the andromonoecy in watermelon. Among four single nucleotide polymorphism(SNPs) and one InDel identified in the coding region of Cit ACS4, the C364 W mutation located in the conserved box 6 was cosegregated with andromonoecy. Enzymatic analyses showed that the C364 W mutation caused a reduced activity in Cit ACS4. We believe that the reduced Cit ACS4 activity may hamper the programmed cell death in stamen primordia, leading to the formation of hermaphroditic flowers.Gaojie Ji Jie Zhang Haiying Zhang Honghe Sun Guoyi Gong Jianting Shi Shouwei Tian Shaogui Guo Yi Ren Huolin Shen Junping Gao Yong Xu 2016Journal of Integrative Plant Biology2016,58,9:1
5Different types of drug abusers prefrontal cortex activation patterns and based on machine-learning classification显示文摘Drug addiction can cause abnormal brain activation changes,which are the root cause of drug craving and brain function errors.This study enrolled drug abusers to determine the effects of different drugs on brain activation.A functional near-infrared spectroscopy(fNIRS)device was used for the research.This study was designed with an experimental paradigm that included the induction of resting and drug addiction cravings.We collected the fNIRS data of 30 drug users,including 10 who used heroin,10 who used Methamphetamine,and 10 who used mixed drugs.First,using Statistical Analysis,the study analyzed the activations of eight functional areas of the left and right hemispheres of the prefrontal cortex of drug addicts who respectively used heroin,Methamphetamine,and mixed drugs,including Left/Right-Dorsolateral prefrontal cortex(L/R-DLPFC),Left/Right-Ventrolateral prefrontal cortex(L/R-VLPFC),Left/Right-Fronto-polar prefrontal cortex(L/R-FPC),and Left/Right Orbitofrontal Cortex(L/R-OFC).Second,referencing the degrees of activation of oxyhaemoglobin concentration(HbO2),the study made an analysis and got the specific activation patterns of each group of the addicts.Finally,after taking out data which are related to the addicts who recorded high degrees of activation among the three groups of addicts,and which had the same channel numbers,the paper classified the different drug abusers using the data as the input data for Convolutional Neural Networks(CNNs).The average three-class accuracy is 67.13%.It is of great significance for the analysis of brain function errors and personalized rehabilitation.Banghua Yang Xuelin Gu Shouwei Gao Lin Feng Yan Ding Xu Wen Wang 2022Journal of Innovative Optical Health Sciences2022,15,2:0
6BCI+VR Rehabilitation Design of Closed-Loop Motor Imagery Based on the Degree of Drug Addiction显示文摘After abusing drugs for long,drug users will experience deteriorated self-control cognitive ability,and poor emotional regulation.This paper designs a closed-loop virtual-reality(VR),motorimagery(MI)rehabilitation training system based on brain-computer interface(BCI)(MI-BCI+VR),aiming to enhance the self-control,cognition,and emotional regulation of drug addicts via personalized rehabilitation schemes.This paper is composed of two parts.In the first part,data of 45 drug addicts(mild:15;moderate:15;and severe:15)is tested with electroencephalogram(EEG)and near-infrared spectroscopy(NIRS)equipment(EEG-NIRS)under the dual-mode,synchronous signal collection paradigm.Using these data sets,a dual-modal signal convolutional neural network(CNN)algorithm is then designed based on decision fusion to detect and classify the addiction degree.In the second part,the MIBCI+VR rehabilitation system is designed,optimizing the Filter Bank Common Spatial Pattern(FBCSP)algorithm used in MI,and realizing MI-EEG intention recognition.Eight VR rehabilitation scenes are devised,achieving the communication between MI-BCI and VR scene models.Ten subjects are selected to test the rehabilitation system offline and online,and the test accuracy verifies the feasibility of the system.In future,it is suggested to develop personalized rehabilitation programs and treatment cycles based on the addiction degree.Xuelin Gu Banghua Yang Shouwei Gao Honghao Gao Linfeng Yan Ding Xu Wen Wang 2022China Communications2022,19,2:0
7FULMS algorithm based multi channel active vibration control of piezoelectric flexible beam显示文摘朱晓锦 Gao Zhiyuan Huang Quanzhen Shao Yong Gao Shouwei 2012High Technology Letters2012,18,2:0
8Photothermal superhydrophobic copper nanowire assemblies: fabrication and deicing/defrosting applications显示文摘Ice and frost buildup continuously pose significant challenges to multiple fields.As a promising de-icing/defrosting alternative,designing photothermal coatings that leverage on the abundant sunlight source on the earth to facilitate ice/frost melting has attracted tremendous attention recently.However,previous designs suffered from either localized surface heating owing to the limited thermal conductivity or unsatisfied meltwater removal rate due to strong water/substrate interaction.Herein,we developed a facile approach to fabricate surfaces that combine photothermal,heat-conducting,and superhydrophobic properties into one to achieve efficient de-icing and defrosting.Featuring copper nanowire assemblies,such surfaces were fabricated via the simple template-assisted electrodeposition method,allowing us to tune the nanowire assembly geometry by adjusting the template dimensions and electrodeposition time.The highly ordered copper nanowire assemblies facilitated efficient sunlight absorption and lateral heat spreading,resulting in a fast overall temperature rise to enable the thawing of ice and frost.Further promoted by the excellent water repellency of the surface,the thawed ice and frost could be spontaneously and promptly removed.In this way,the all-in-one design enabled highly enhanced de-icing and defrosting performance compared to other nanostructured surfaces merely with superhydrophobicity,photothermal effect,or the combination of both.In particular,the defrosting efficiency could approach∼100%,which was the highest compared to previous studies.Overall,our approach demonstrates a promising path toward designing highly effective artificial deicing/defrosting surfaces.Siyan Yang Qixun Li Bingang Du Yushan Ying Yijun Zeng Yuankai Jin Xuezhi Qin Shouwei Gao Steven Wang Zuankai Wang Rongfu Wen Xuehu Ma 2023International Journal of Extreme Manufacturing2023,5,4:0
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