| 1 | Self-powered electronic paper with energy supplies and information inputs solely from mechanical motions显示文摘The electronic paper(E-paper)displays features such as flexibility,sunlight visibility,and low power consumption,which makes it ideal for Internet of Things(IoT)applications where the goal is to eliminate bulky power modules.Here,we report a unique self-powered E-paper(SPEP),where information inputs and energy supplies are all converted from mechanical motion by a triboelectric nanogenerator(TENG).The operation of an electrophoretic E-paper is first investigated,identifying the current density as a determinative parameter for driving pigment particle motion and color change.Electrical and optical responses of the E-paper driven by a slidingmode TENG are then found to be consistent with that under a current source mode.All-in-one monochromic and chromatic SPEPs integrated with a flexible transparent TENG are finally demonstrated,and a pixelated SPEP is discussed for future research.The sliding-driven mechanism of SPEP allows for a potential handwriting function,is free of an extra power supply,and promises undoubtedly a wide range of future applications. | YIFAN GU TINGTING HOU PENG CHEN JINXIN CAO CHONGXIANG PAN WEIGUO HU BO-RU YANG XIONG PU AND ZHONG LIN WANG | 2020 | Photonics Research2020,8,9: | 2 |
| 3 | Public health implications of Yersinia enterocolitica investigation:an ecological modeling and molecular epidemiology study显示文摘Background Yersinia enterocolitica has been sporadically recovered from animals,foods,and human clinical samples in various regions of Ningxia,China.However,the ecological and molecular characteristics of Y.enterocolitica,as well as public health concerns about infection in the Ningxia Hui Autonomous Region,remain unclear.This study aims to analyze the ecological and molecular epidemiological characteristics of Y.enterocolitis in order to inform the public health intervention strategies for the contains of related diseases.Methods A total of 270 samples were collected for isolation[animals(n=208),food(n=49),and patients(n=13)],then suspect colonies were isolated and identified by the API20E biochemical identification system,serological tests,biotyping tests,and 16S rRNA-PCR.Then,we used an ecological epidemiological approach combined with machine learning algorithms(general linear model,random forest model,and eXtreme Gradient Boosting)to explore the associations between ecological factors and the pathogenicity of Y.enterocolitis.Furthermore,average nucleotide identity(ANI)estimation,single nucleotide polymorphism(SNP),and core gene multilocus sequence typing(cgMLST)were applied to characterize the molecular profile of isolates based on whole genome sequencing.The statistical test used single-factor analysis,Chi-square tests,t-tests/ANOVA-tests,Wilcoxon rank-sum tests,and Kruskal–Wallis tests.Results A total of 270 isolates of Yersinia were identified from poultry and livestock(n=191),food(n=49),diarrhoea patients(n=13),rats(n=15),and hamsters(n=2).The detection rates of samples from different hosts were statistically different(χ^(2)=22.636,P<0.001).According to the relatedness clustering results,270 isolates were divided into 12 species,and Y.enterocolitica(n=187)is a predominated species.Pathogenic isolates made up 52.4%(98/187),while non-pathogenic isolates made up 47.6%(89/187).Temperature and precipitation were strongly associated with the pathogenicity of the isolates(P<0.001).The random forest(RF)prediction model showed the best performance.The prediction result shows a high risk of pathogenicity Y.enterocolitica was located in the northern,northwestern,and southern of the Ningxia Hui Autonomous Region.The Y.enterocolitica isolates were classified into 54 sequence types(STs)and 125 cgMLST types(CTs),with 4/O:3 being the dominant bioserotype in Ningxia.The dominant STs and dominant CTs of pathogenic isolates in Ningxia were ST429 and HC100_2571,respectively.Conclusions The data indicated geographical variations in the distribution of STs and CTs of Y.enterocolitica isolates in Ningxia.Our work offered the first evidence that the pathogenicity of isolates was directly related to fluctuations in temperature and precipitation of the environment.CgMLST typing strategies showed that the isolates were transmitted to the population via pigs and food.Therefore,strengthening health surveillance on pig farms in high-risk areas and focusing on testing food of pig origin are optional strategies to prevent disease outbreaks. | Yuan Yue Jinxin Zheng Mei Sheng Xiang Liu Qiong Hao Shunxian Zhang Shuai Xu Zhiguo Liu Xuexin Hou Huaiqi Jing Yang Liu Xuezhang Zhou Zhenjun Li | 2023 | Infectious Diseases of Poverty2023,12,2: | 1 |
| 4 | Characteristics of the AE Distribution and Triggering Mechanism of a Simulated Meter-Scale Fault after Stick-Slip Events显示文摘With the more complete acoustic emission(AE)catalog improved by the multi-channel AE matched-filter technique(MFT),we study the spatiotemporal evolution of the AE activities after laboratory stick-slip events incorporate with the slip data recorded by displacement transducers on an^1.5 m granite fault.The results show that the number of the AE events identified by MFT is about 9 times larger than that of the traditional method.A logarithmic expansion of early AE events along the fault strike is observed as a function of time,whereas the fault does not slip in the same manner.Thus,we related the expansion of the early AE events along the fault to the stress transfer caused by the adjacent AE events.Moreover,there is a good correlation between the cumulative number of the later AE events and the amount of fault slip.It suggests that the stress change caused by the continuous slip of the simulated fault after the stick-slip events response for the later AE events near or on the simulated fault. | HOU Jinxin XIE Fan REN Yaqiong WANG Baoshan | 2020 | Earthquake Research in China2020,34,3: | 0 |