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| 1 | Efficient elimination of multidrug-resistant bacteria using copper sulfide nanozymes anchored to graphene oxide nanosheets显示文摘Antibacterial nanomaterials have attracted growing interest for bacterial infection therapy.However,most nanomaterials eliminate bacteria either physically or chemically,which hampers their efficacy when dealing with multidrug-resistant bacteria.To overcome this,we integrated copper sulfide(CuS)nanoparticles with active graphene oxide nanosheets(GO NSs)to synthesize a superior nanocomposite(CuS/GO NC)that acts both physically and chemically on the bacteria.CuS/GO NC was produced using a facile hydrothermal method,whereby the CuS nanoparticles grew and were uniformly dispersed on the GO NSs in situ.We found that the CuS/GO NC possesses a unique needle-like morphology that physically damages the bacterial cell membrane.CuS/GO NC also exhibits high oxidase-and peroxidase-like activity,ensuring efficient generation of the reactive oxygen species•OH from H2O2,which kills bacteria chemically.These features endow the CuS/GO NC with excellent antibacterial capabilities to kill multidrug-resistant bacteria such as methicillin-resistant Staphylococcus aureus(MRSA)with only a single dose.Additionally,it was found that the CuS/GO NC accelerated the healing of infected wounds in vivo owing to its good biocompatibility as well as facilitation of cell migration and collagen secretion.This study provides a new strategy to combine the physical and chemical antibacterial modes of nanomaterials to develop more effective therapies to combat multidrug-resistant bacterial infections. | Wanshun Wang Binglin Li Huili Yang Zefeng Lin Lingling Chen Zhan Li Jiayuan Ge Tao Zhang Hong Xia Lihua Li Yao Lu | 2020 | Nano Research2020，13，8： | 8 |
| 2 | Electrochemical performance of a three-layer electrode based on Bi nanoparticles,multi-walled carbon nanotube composites for simultaneous Hg(Ⅱ)and Cu(Ⅱ)detection显示文摘Electrochemical analysis is a promising technique for detecting biotoxic and non-biodegradable heavy metals.This article proposes a novel composite electrode based on a polyaniline(PANi)fra mework doped with bismuth nanoparticle@graphene oxide multi-walled carbon nano tubes(Bi NPs@GO-MWCNTs)for the simultaneous detection of multiple heavy metal ions.Composite electrodes are prepared on screenprinted electrodes(SPCEs)using an efficient dispensing technique.We used a SM200 SX-3 A dispenser to load a laborato ry-specific ink with optimized viscosity and adhesion to draw a pattern on the work area.The SPCE was used as substrate to facilitate cost-effective and more convenient real-time detection technology.Electrochemical techniques,such as cyclic voltammetry and differential pulse voltammetry,were used to demonstrate the sensing capabilities of the proposed sensor,The sensitivity,limit of detection,and linear range of the PANi-Bi NPs@GO-MWCNT electrode are 2.57×10^(2)μA Lμmol^(-1) cm^-2,0.01 nmol/L,and 0.01 nmol/L-5 mmol/L and 0.15×10^(-1)μALμmol^(-1) cm^-2,0.5 nmol/L,and 0.5 nmol/L-5 mmol/L for mercury ion(Hg(Ⅱ))and copper ion(Cu(Ⅱ))detection,respectively.In addition,the electrode exhibits a good selectivity and repeatability for Hg(Ⅱ)and Cu(Ⅱ)sensing when tested in a complex heavy metal ion solution.The constructed electrode system exhibits a detection performance superior to similar methods and also increases the types of heavy metal ions that can be detected.Therefore,the proposed device can be used as an efficient sensor for the detection of multiple heavy metal ions in complex environments. | Qiwen Bao Gang Li Zhengchun Yang Peng Pan Jun Liu Jiayuan Chang Jun Wei Ling Lin | 2020 | Chinese Chemical Letters2020，31，10： | 2 |
| 3 | Proximal Femoral Locking Plate With Cannulated Screws for the Treatment of Femoral Neck Fractures显示文摘 | Lin Dasheng Lian Kejian Ding Zhenqi Zhai Wenliang Hong Jiayuan | 2012 | Orthopedics (Online)2012，，1： | 1 |
| 4 | Estimating Wenchuan Earthquake induced landslides based on remote sensing 显示文摘 | ZHANG Wenjiang LIN Jiayuan PENG Jian | 2010 | Interna-tional Journal of Remote Sensing2010，31，13： | 1 |
| 5 | Construction of algal-bacterial consortia using green microalgae Chlorella vulgaris and As(Ⅲ)-oxidizing bacteria:As tolerance and metabolomic profiling显示文摘Bioremediation became a promising technology to resolve arsenic(As)contamination in aquatic environment.Since monoculture such as microalgae or bacteria was sensitive to environmental disturbance and vulnerable to contamination,green microalgae Chlorella vulgaris and arsenite(As(Ⅲ))-oxidizing bacteria Pseudomonas sp.SMS11 were co-cultured to construct algal-bacterial consortia in the current study.The effects of algae-bacteria(A:B)ratio and exposure As(Ⅲ)concentration on algal growth,As speciation and metabolomic profile were investigated.Algal growth arrested when treated with 100 mg/L As(Ⅲ)without the co-cultured bacteria.By contrast,co-cultured with strain SMS11 significantly enhanced As tolerance in C.vulgaris especially with A:B ratio of 1:10.All the As(Ⅲ)in culture media of the consortia were oxidized into As(Ⅴ)on day 7.Methylation of As was observed on day 14.Over 1% and 0.5% of total As were converted into dimethylarsinic acid(DMA)after 21days cultivation when the initial concentrations of As(Ⅲ)were 1 and 10 mg/L,respectively.Metabolomic analysis was further performed to reveal the response of consortia metabolites to external As(Ⅲ).The enriched metabolomic pathways were associated with carbohydrate,amino acid and energy metabolisms.Tricarboxylic acid cycle and glyoxylate and dicarboxylate metabolism were upregulated under As stress due to their biological functions on alleviating oxidative stress and protecting cells.Both carbohydrate and amino acid metabolisms provided precursors and potential substrates for energy production and cell protection under abiotic stress.Alterations of the pathways relevant to carbohydrate or amino acid metabolism were triggered by energy requirement. | Xiaoman He Guobing Lin Jiayuan Zeng Zhaoguang Yang Lin Wang | 2024 | Journal of Environmental Sciences2024，，5： | 0 |
| 6 | Brake wear-derived particles:Single-particle mass spectral signatures and real-world emissions显示文摘Brake wear is an important but unregulated vehicle-related source of atmospheric particulate matter(PM).The single-particle spectral fingerprints of brake wear particles(BWPs)provide essential information for understanding their formation mechanism and atmospheric contributions.Herein,we obtained the single-particle mass spectra of BWPs by combining a brake dynamometer with an online single particle aerosol mass spectrometer and quantified real-world BWP emissions through a tunnel observation in Tianjin,China.The pure BWPs mainly include three distinct types of particles,namely,Bacontaining particles,mineral particles,and carbon-containing particles,accounting for 44.2%,43.4%,and 10.3%of the total BWP number concentration,respectively.The diversified mass spectra indicate complex BWP formation pathways,such as mechanical,phase transition,and chemical processes.Notably,the mass spectra of Ba-containing particles are unique,which allows them to serve as an excellent indicator for estimating ambient BWP concentrations.By evaluating this indicator,we find that approximately 4.0%of the PM in the tunnel could be attributable to brake wear;the real-world fleet-average emission factor of 0.28 mg km1 veh1 is consistent with the estimation obtained using the receptor model.The results presented herein can be used to inform assessments of the environmental and health impacts of BWPs to formulate effective emissions control policies. | Jiayuan Liu Jianfei Peng Zhengyu Men Tiange Fang Jinsheng Zhang Zhuofei Du Qijun Zhang Ting Wang Lin Wu Hongjun Mao | 2023 | Environmental Science and Ecotechnology2023，，3： | 0 |
| 7 | Ionome profiling and arsenic speciation provide evidence of arsenite detoxification in rice by phosphate and arsenite-oxidizing bacteria显示文摘Arsenite(As(III))as the most toxic and mobile form is the dominant arsenic(As)species in flooded paddy fields,resulting in higher accumulation of As in paddy rice than other terrestrial crops.Mitigation of As toxicity to rice plant is an important way to safeguard food production and safety.In the current study,As(III)-oxidizing bacteria Pseudomonas sp.strain SMS11 was inoculated with rice plants to accelerate conversion of As(III)into lower toxic arsenate(As(V)).Meanwhile,additional phosphate was supplemented to restrict As(V)uptake by the rice plants.Growth of rice plant was significantly inhibited under As(III)stress.The inhibition was alleviated by the introduction of additional P and SMS11.Arsenic speciation showed that additional P restricted As accumulation in the rice roots via competing common uptake pathways,while inoculation with SMS11 limited As translocation from root to shoot.Ionomic profiling revealed specific characteristics of the rice tissue samples from different treatment groups.Compared to the roots,ionomes of the rice shoots were more sensitive to environmental perturbations.Both extraneous P and As(III)-oxidizing bacteria SMS11 could alleviate As(III)stress to the rice plants through promoting growth and regulating ionome homeostasis. | Guobing Lin Xiaoman He Jiayuan Zeng Zhaoguang Yang Lin Wang | 2023 | Journal of Environmental Sciences2023，，6： | 0 |
| 8 | Multi‑scale Battery Modeling Method for Fault Diagnosis显示文摘Fault diagnosis is key to enhancing the performance and safety of battery storage systems.However,it is challenging to realize efficient fault diagnosis for lithium-ion batteries because the accuracy diagnostic algorithm is limited and the features of the different faults are similar.The model-based method has been widely used for degradation mechanism analysis,state estimation,and life prediction of lithium-ion battery systems due to the fast speed and high development efficiency.This paper reviews the mainstream modeling approaches used for battery diagnosis.First,a review of the battery’s degradation mechanisms and the external factors affecting the aging rate is presented.Second,the different modeling approaches are summarized,from microscopic to macroscopic scales,including density functional theory,molecular dynamics,X-ray computed tomography technology,electrochemical model,equivalent circuit model,distributed model and neural network algorithm.Subsequently,the advantages and disadvantages of these model approaches are discussed for fault detection and diagnosis of batteries in different application scenarios.Finally,the remaining challenges of model-based battery diagnosis and the future perspective of using cloud control and battery intelligent networking to enhance diagnostic performance are discussed. | Shichun Yang Hanchao Cheng Mingyue Wang Meng Lyu Xinlei Gao Zhengjie Zhang Rui Cao Shen Li Jiayuan Lin Yang Hua Xiaoyu Yan Xinhua Liu | 2022 | Automotive Innovation2022，5，4： | 0 |
| 9 | Study on the continuous Chinese speech recognition system for speaker-dependent and topic-constrained application显示文摘In this article a speaker-dependent,topic-constrained and continu-ous Chinese speech recognition system based on vector quantization(VQ),hidden Markov model(HMM)and finite states syntax is studied.The differ-ences of zero-cross amplitude and the average amplitude are used to determinethe position of voice start and end.The words data used in HMM's trainingare obtained by segmentation of continuously spoken sentences.And at eachframe several distinct syntactic nodes are considered;through each of them aoptimum model is possible to translate to some other models.As a result therecognition accuracy is improved.The system can be applied in speaker-dependent and topic constrained information request services. | LIN Daofa, YANG Jiayuan, LUO Wanbo WANG Gendong(Sichuan University. Chengdu 610064) | 1992 | Chinese Journal of Acoustics1992，11，4： | 0 |
| 10 | Expert consensus on difficulty assessment of endodontic therapy显示文摘Endodontic diseases are a kind of chronic infectious oral disease. Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha. However, it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT). Recent research, encompassing bacterial etiology and advanced imaging techniques, contributes to our understanding of the root canal system’s anatomy intricacies and the technique sensitivity of RCT. Success in RCT hinges on factors like patients, infection severity, root canal anatomy, and treatment techniques. Therefore, improving disease management is a key issue to combat endodontic diseases and cure periapical lesions. The clinical difficulty assessment system of RCT is established based on patient conditions, tooth conditions, root canal configuration, and root canal needing retreatment, and emphasizes pre-treatment risk assessment for optimal outcomes. The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT. These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics. | Dingming Huang Xiaoyan Wang Jingping Liang Junqi Ling Zhuan Bian Qing Yu Benxiang Hou Xinmei Chen Jiyao Li Ling Ye Lei Cheng Xin Xu Tao Hu Hongkun Wu Bin Guo Qin Su Zhi Chen Lihong Qiu Wenxia Chen Xi Wei Zhengwei Huang Jinhua Yu Zhengmei Lin Qi Zhang Deqin Yang Jin Zhao Shuang Pan Jian Yang Jiayuan Wu Yihuai Pan Xiaoli Xie Shuli Deng Xiaojing Huang Lan Zhang Lin Yue Xuedong Zhou | 2024 | International Journal of Oral Science2024，16，1： | 0 |
| 11 | Identify the contribution of vehicle non-exhaust emissions:a single particle aerosol mass spectrometer test case at typical road environment显示文摘A single particle aerosol mass spectrometer(SPAMS)was used to accurately quantify the contribution of vehicle non-exhaust emissions to particulate matter at typical road environment.The PM_(2.5),black carbon,meteorological parameters and traffic flow were recorded during the test period.The daily trend for traffic flow and speed on TEDA Street showed obvious“M”and“W”characteristics.6.3 million particles were captured via the SPAMS,including 1.3 million particles with positive and negative spectral map information.Heavy Metal,High molecular Organic Carbon,Organic Carbon,Mixed Carbon,Elemental Carbon,Rich Potassium,Levo-rotation Glucose,Rich Na,SiO_(3) and other categories were analyzed.The particle number concentration measured by SPAMS showed a good linear correlation with the mass concentrations of PM_(2.5) and BC,which indicates that the particulate matter captured by the SPAMS reflects the pollution level of fine particulate matter.EC,ECOC,OC,HM and crustal dust components were found to show high values from 7:00–9:00 AM,showing that these chemical components are directly or indirectly related to vehicle emissions.Based on the PMF model,7 major factors are resolved.The relative contributions of each factor were determined:vehicle exhaust emission(44.8%),coal-fired source(14.5%),biomass combustion(12.2%),crustal dust(9.4%),ship emission(9.0%),tires wear(6.6%)and brake pads wear(3.5%).The results show that the contribution of vehicle non-exhaust to particulate matter at roadside environment is approximately 10.1%.Vehicle non-exhaust emissions are the focus of future research in the vehicle pollutant emission control field. | Qijun Zhang Jiayuan Liu Ning Wei Congbo Song Jianfei Peng Lin Wu Hongjun Mao | 2023 | Frontiers of Environmental Science & Engineering2023，17，5： | 0 |
| 12 | Debris Flow Simulation-Oriented Three-Dimensional Scenery Modeling and Rendering显示文摘3D (three-dimensional) process simulation is currently one of the most challenging fields of research on debris flow.Large scale terrain rendering is the most basic task of 3D scenery construction in debris flow simulation.As the major trigger for debris flow,rainfall will substantially enhance the realistic sense.Terrain and rainfall rendering in 3D debris flow simulations poses great challenges for numerical computation and graphical processing capability.In this paper,we propose to integrate GPU technology,LoD algorithms,and particle systems to realize 3D scenery modeling and rendering.The real-time LoD-based terrain modeling and rendering algorithm is presented first,and then a particle system-based rainfall scenery rendering method is implemented.Experimental results demonstrate that the 3D scenery rendered with the proposed approach exhibits sound performance and fair visual effects,which lays a solid foundation for the whole process simulation of debris flow disasters. | YE Jian LIN Jiayuan TAO Heping CHEN Xiaoqing CHEN Jingxiong | 2011 | Geo-Spatial Information Science2011，14，2： | 0 |
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