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      • Ecogenomic responses of benthic communities under multiple stressors along the marine and adjacent riverine areas of northern Bohai Sea, China

        Xie, Yuwei,Hong, Seongjin,Kim, Seonjin,Zhang, Xiaowei,Yang, Jianghua,Giesy, John P.,Wang, Tieyu,Lu, Yonglong,Yu, Hongxia,Khim, Jong Seong Elsevier 2017 CHEMOSPHERE - Vol.172 No.-

        <P><B>Abstract</B></P> <P>Benthic communities in the aquatic ecosystem are influenced by both natural and anthropogenic stressors. To understand the ecogenomic responses of sediment communities to the multiple stressors of polluted environments, the bacteria, protistan and metazoan communities in sediments from marine and adjacent riverine areas of North Bohai Sea were characterized by environmental DNA meta-systematics, and their associations with environmental variables were assessed by multiple statistical approaches. The bacterial communities were dominated by <I>Firmicutes</I> (mean 22.4%), <I>Proteobacteria</I> (mean 21.6%) and <I>Actinobacteria</I> (mean 21.5%). The protistan communities were dominated by <I>Ochrophyta</I> (33.7%), <I>Cercozoa</I> (18.9%) and <I>Ciliophora</I> (17.9%). <I>Arthropoda</I> (71.1%) dominated the metazoan communities in sediments. The structures of communities in sediments were shaped by both natural variables (spatial variability and/or salinity (presented as Na and Ca)) and anthropogenic contaminants, including DDTs, PAHs or metals (Cu, Al, Co, Cr, Cu, Fe, K, Mg, Mn, Ni and Zn). Particularly, the correlation network of multiple communities was modulated by the concentrations of Na and DDTs at the family level. Overall, environmental DNA meta-systematics can provide a powerful tool for biomonitoring, sediment quality assessment, and key stressors identification.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Bacterial, protistan and metazoan communities were characterized with ecogenomics. </LI> <LI> The influences of salinity on benthic communities overwhelmed these of pollutants. </LI> <LI> Variations of community structures also associated with DDTs, PAHs or metals. </LI> </UL> </P>

      • SCISCIESCOPUS

        eDNA-based bioassessment of coastal sediments impacted by an oil spill

        Xie, Yuwei,Zhang, Xiaowei,Yang, Jianghua,Kim, Seonjin,Hong, Seongjin,Giesy, John P.,Yim, Un Hyuk,Shim, Won Joon,Yu, Hongxia,Khim, Jong Seong Elsevier 2018 Environmental pollution Vol.238 No.-

        <P><B>Abstract</B></P> <P>Oil spills offshore can cause long-term ecological effects on coastal marine ecosystems. Despite their important ecological roles in the cycling of energy and nutrients in food webs, effects on bacteria, protists or arthropods are often neglected. Environmental DNA (eDNA) metabarcoding was applied to characterize changes in the structure of micro- and macro-biota communities of surface sediments over a 7-year period since the occurrence of <I>Hebei Spirit</I> oil <I>spil</I>l on December 7, 2007. Alterations in diversities and structures of micro- and macro-biota were observed in the contaminated area where concentrations of polycyclic aromatic hydrocarbons were greater. Successions of bacterial, protists and metazoan communities revealed long-term ecological effects of residual oil. Residual oil dominated the largest cluster of the community-environment association network. Presence of bacterial families (<I>Aerococcaceae</I> and <I>Carnobacteriaceae</I>) and the protozoan family (<I>Platyophryidae</I>) might have conferred sensitivity of communities to oil pollution. Hydrocarbon-degrading bacterial families (<I>Anaerolinaceae</I>, <I>Desulfobacteraceae</I>, <I>Helicobacteraceae</I> and <I>Piscirickettsiaceae</I>) and algal family (<I>Araphid pennate</I>) were resistant to adverse effects of spilt oil. The protistan family (<I>Subulatomonas</I>) and arthropod families (<I>Folsomia</I>, <I>Sarcophagidae Opomyzoidea,</I> and <I>Anomura</I>) appeared to be positively associated with residual oil pollution. eDNA metabarcoding can provide a powerful tool for assessing effects of anthropogenic pollution, such as oil spills on sediment communities and its long-term trends in coastal marine environments.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Long-term ecological impact on coastal sediment community by an oil spill were accessed by eDNA metabarcoding. </LI> <LI> Residual oils altered the alpha-diversity, beta-diversity and compositions of multiple sedimentary communities. </LI> <LI> The largest cluster of the sedimentary community-environment association network was dominated by residual oils. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • KCI등재

        Event-trigger-based Fault-tolerant Control of Uncertain Non-affine Systems with Predefined Performance

        Yang Yang,Yuwei Zhang,Zijin Wang,Xuefeng Si,Jinran Wu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2

        Fault-tolerant control (FTC) of a non-affine system with uncertainties is one of critical issues in nonlinear control. In this paper, in the presence of unknown actuator failures, an event-trigger-based FTC scheme is proposed for such a nonlinear system with predefined performance. For actuator failures, a compensation mechanism is designed to alleviate their impacts. By utilizing a predefined performance function, higher tracking accuracy can be obtained. Meanwhile, an event-triggered mechanism with a time-varying threshold, depending on tracking error, reduces the number of communications for a controller-to-actuator channel. An adaptive event-triggered function is then proposed with the compensation mechanism to improve the self-adjusting ability of the triggered function. Also, extended state observers and tracking differentiators are utilized to reconstruct unknown dynamics of the system and to simplify high-order derivation of virtual control laws, respectively. The stability of the closed-loop system is analyzed by input-to-state practically stability. Finally, two simulation results are supplied to verify the effectiveness of the proposed control method.

      • KCI등재

        Abnormal Precursory Information Analysis of the Infrared Radiation Temperature (IRT) before Sandstone Failure

        Zhanping Song,Qiang Zhang,Yuwei Zhang,Junbao Wang,Shengyuan Fan,Guannan Zhou 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.11

        To study the abnormal precursory information of rock before failure, uniaxial compression tests were carried out on sandstone specimens; meanwhile, the infrared thermal camera was utilized to monitor the infrared radiation temperature (IRT) variation of the specimen surface synchronously during failure process. The test results show that with the increases of strain, the average infrared radiation temperature (AIRT) decreased gradually; when strain raises to a certain degree, the AIRT increased abruptly; thereafter, the AIRT decreased gradually with increasing strain. Therefore, the mutation point of AIRT can be regarded as the abnormal precursory information of sandstone before failure. Through analysis, the average stress at the abnormal point was 79.93% of the uniaxial compression strength of the sandstone specimens tested in this paper, and the average strain at this point was 0.9%. In addition, due to the end effect, the IRT field distribution of the sandstone specimen surface presented a decreasing tendency from top to bottom at the initial loading stage. As strain increases, the IRT field distribution tended to be high in middle and low in two ends. Closing to failure, a Y-shaped high-temperature band caused by the shear failure of the specimen appeared in the infrared thermal image. After comparison, the position of the Y-sharped high-temperature band is basically corresponding to the actually failure position of the specimen. With the increases of strain, the IRT distribution ranges decreased and the IRT frequency distribution histogram form gradually approached to the normal distribution.

      • KCI등재

        A knowledge-based online fault detection method of the assembly process considering the relative poses of components

        Yinhua Liu,Rui Sun,Yuwei Lu,Shiming Zhang 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.10

        The real-time process fault detection in the multi-station assembly process is always a challenging problem for auto body manufactures. Traditionally, the fault diagnosis approaches for variation source identification are divided into two categories, i.e. the pattern matching methods and model-based estimation ones based on the collected data set. The measurements provide effective process monitoring, but the real-time process fault diagnosis in the assembly process is still difficult with the traditional diagnosis techniques, and always depends on the engineering experience in practice. Based on the assembly process knowledge, including multi-station assembly hierarchy, fixture scheme, measurement characteristics and tolerances etc. in the multi-station, a knowledge-based diagnostic methodology and procedures are proposed with the measurements of each body in white for part/component defections and faulty assembly station identification. For the station involved with defective parts/components, the sub-coordinate system of the part/component is established reflecting its position and pose in the space, and then the relative pose matrix to the “normally build” pose is calculated based on the deviations of sub-coordinates of the parts in this station. Finally, the assembly process malfunctions are determined by a proposed rule-based strategy with the relative pose matrix in real time. A simple 3 stations assembly process with 5 sheet metal parts was analyzed and compared with the traditional diagnostic method to verify the effectiveness and stability of the proposed method.

      • KCI등재

        Hepatotoxic mechanism of diclofenac sodium on broiler chicken revealed by iTRAQ-based proteomics analysis

        Chuanxi Sun,Tianyi Zhu,Yuwei Zhu,Bing Li,Jiaming Zhang,Yixin Liu,Changning Juan,Shifa Yang,Zengcheng Zhao,Renzhong Wan,Shuqian Lin,Bin Yin 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.4

        Background: At the therapeutic doses, diclofenac sodium (DFS) has few toxic side effects on mammals. On the other hand, DFS exhibits potent toxicity against birds and the mechanisms remain ambiguous. Objectives: This paper was designed to probe the toxicity of DFS exposure on the hepatic proteome of broiler chickens. Methods: Twenty 30-day-old broiler chickens were randomized evenly into two groups (n = 10). DFS was administered orally at 10 mg/kg body weight in group A, while the chickens in group B were perfused with saline as a control. Histopathological observations, serum biochemical examinations, and quantitative real-time polymerase chain reaction were performed to assess the liver injury induced by DFS. Proteomics analysis of the liver samples was conducted using isobaric tags for relative and absolute quantification (iTRAQ) technology. Results: Ultimately, 201 differentially expressed proteins (DEPs) were obtained, of which 47 were up regulated, and 154 were down regulated. The Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted to screen target DEPs associated with DFS hepatotoxicity. The regulatory relationships between DEPs and signaling pathways were embodied via a protein-protein interaction network. The results showed that the DEPs enriched in multiple pathways, which might be related to the hepatotoxicity of DFS, were “protein processing in endoplasmic reticulum,” “retinol metabolism,” and “glycine, serine, and threonine metabolism.” Conclusions: The hepatotoxicity of DFS on broiler chickens might be achieved by inducing the apoptosis of hepatocytes and affecting the metabolism of retinol and purine. The present study could provide molecular insights into the hepatotoxicity of DFS on broiler chickens.

      • Dynamic Generation Method of Virtual Coal Mining Scene Based on 3D Entities Transformation and Combination

        Shaojie Hou,Xianzun Meng,Yuwei Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.11

        In order to present the virtual scene of underground coal mining, a dynamic and data-driven method for the virtual scene generation was proposed and its experimental software was developed. The data model of the software system is classified as two types that are the primary model and the display model. The system structure is designed as four layers from bottom to top, namely storage layer, display layer, combination layer and operation layer. Storage layer, the lowest layer and the data center of the system to store all the primary models, is a database containing some data tables, views, constrains, rules and storage processes. Display layer as the second lower layer is to implement an essential data-driven algorithm to transform the selected primary models into display models through scaling, stretching, rotating or assembly operations. Combination layer focuses on the whole scene building business based on the operation of related display models such as visible setting, connecting, handling the shading and presenting special effects. Operation layer as the top layer is to respond to user’s instructions such as free roaming and screen pickup. Finally, the software is tested in Qinan colliery of China. Results show that the proposed method is practicable and efficient to implement virtual coal mining scene.

      • SCIESCOPUSKCI등재

        Hepatotoxic mechanism of diclofenac sodium on broiler chicken revealed by iTRAQ-based proteomics analysis

        Sun, Chuanxi,Zhu, Tianyi,Zhu, Yuwei,Li, Bing,Zhang, Jiaming,Liu, Yixin,Juan, Changning,Yang, Shifa,Zhao, Zengcheng,Wan, Renzhong,Lin, Shuqian,Yin, Bin 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.3

        Background: At the therapeutic doses, diclofenac sodium (DFS) has few toxic side effects on mammals. On the other hand, DFS exhibits potent toxicity against birds and the mechanisms remain ambiguous. Objectives: This paper was designed to probe the toxicity of DFS exposure on the hepatic proteome of broiler chickens. Methods: Twenty 30-day-old broiler chickens were randomized evenly into two groups (n = 10). DFS was administered orally at 10mg/kg body weight in group A, while the chickens in group B were perfused with saline as a control. Histopathological observations, serum biochemical examinations, and quantitative real-time polymerase chain reaction were performed to assess the liver injury induced by DFS. Proteomics analysis of the liver samples was conducted using isobaric tags for relative and absolute quantification (iTRAQ) technology. Results: Ultimately, 201 differentially expressed proteins (DEPs) were obtained, of which 47 were up regulated, and 154 were down regulated. The Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were conducted to screen target DEPs associated with DFS hepatotoxicity. The regulatory relationships between DEPs and signaling pathways were embodied via a protein-protein interaction network. The results showed that the DEPs enriched in multiple pathways, which might be related to the hepatotoxicity of DFS, were "protein processing in endoplasmic reticulum," "retinol metabolism," and "glycine, serine, and threonine metabolism." Conclusions: The hepatotoxicity of DFS on broiler chickens might be achieved by inducing the apoptosis of hepatocytes and affecting the metabolism of retinol and purine. The present study could provide molecular insights into the hepatotoxicity of DFS on broiler chickens.

      • SCOPUSSCIE

        Effects of model resolution and parameterizations on the simulations of clouds, precipitation, and their interactions with aerosols

        Lee, Seoung Soo,Li, Zhanqing,Zhang, Yuwei,Yoo, Hyelim,Kim, Seungbum,Kim, Byung-Gon,Choi, Yong-Sang,Mok, Jungbin,Um, Junshik,Choi, Kyoung Ock,Dong, Danhong Copernicus GmbH 2018 Atmospheric Chemistry and Physics Vol.18 No.1

        <P>Abstract. This study investigates the roles played by model resolution and microphysics parameterizations in the well-known uncertainties or errors in simulations of clouds, precipitation, and their interactions with aerosols by the numerical weather prediction (NWP) models. For this investigation, we used cloud-system-resolving model (CSRM) simulations as benchmark simulations that adopt high-resolution and full-fledged microphysical processes. These simulations were evaluated against observations, and this evaluation demonstrated that the CSRM simulations can function as benchmark simulations. Comparisons between the CSRM simulations and the simulations at the coarse resolutions that are generally adopted by current NWP models indicate that the use of coarse resolutions as in the NWP models can lower not only updrafts and other cloud variables (e.g., cloud mass, condensation, deposition, and evaporation) but also their sensitivity to increasing aerosol concentration. The parameterization of the saturation process plays an important role in the sensitivity of cloud variables to aerosol concentrations. while the parameterization of the sedimentation process has a substantial impact on how cloud variables are distributed vertically. The variation in cloud variables with resolution is much greater than what happens with varying microphysics parameterizations, which suggests that the uncertainties in the NWP simulations are associated with resolution much more than microphysics parameterizations. </P>

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