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  1. Book ; Online: Experimental Testing and Constitutive Modelling of Pavement Materials

    Liu, Xueyan / Wang, Linbing / You, Zhanping / Zhang, Yuqing / Zhou, Changhong / Zhang, Yuqing

    2023  

    Keywords Technology: general issues ; History of engineering & technology ; large-size graded crushed stone ; cyclic rotating axial compression ; shakedown theory ; cumulative axial strain ; long-term stability ; critical load ; self-healing asphalt ; fatigue life ; induction heating ; calcium alginate capsules ; combined healing system ; CR/SBS modified asphalt ; desulfurized rubber ; rheology ; Burgers' model ; multiple stress creep recovery ; soft soil ; stabilized soil ; rice husk ash ; Mechanistic-Empirical creep model ; matric suction ; asphalt pavement ; sand accumulation conditions ; skid resistance ; British Pendulum Number (BPN) ; texture index ; SBS ; polymer additive ; aging property ; rheological properties ; FTIR ; pavement materials ; asphalt mixture ; compressive creep ; damage evolution ; fractional rheology theory ; viscoelasticity ; airfield ; concrete pavement ; fatigue model ; slab thickness ; improvement method ; asphalt concrete ; Prony series ; Havriliak-Negami (HN) model ; 2S2P1D model ; continuous relaxation and retardation spectra ; basalt fiber ; crack resistance ; environmental scanning electron microscope ; embedded sensor ; Rollpave pavement ; three-point bending test ; dynamic response ; finite element analysis ; packaging optimization ; wet-process tuff silt powder ; RPC ; mechanical properties ; microstructure ; tire-pavement friction ; pavement textures ; partial tire aquaplane conditions ; water film ; vertical contact force ; molecular dynamics ; wax warm mix asphalt ; contact angle test ; pull-off test ; Fourier transform infrared spectroscopy ; adhesion work ; bridge deck pavement ; interlayer bond strength ; adhesive material ; emulsified asphalt ; shear stress ; air-void characteristics ; fractal dimension ; crack initiation and propagation ; rutting damage ; Computed Tomography ; image process ; gradation analysis ; asphalt mastic ; lignin fiber ; carbon fiber ; burgers model ; 3D reconstruction ; digital image processing (DIP) ; computed tomography (CT) ; mesostructure ; asphalt binder ; warm-mix asphalt (WMA) ; reclaimed asphalt pavement (RAP) ; rheological behavior ; performance ; road engineering ; cold in-place recycling ; high temperature stability ; cracking resistance ; moisture susceptibility ; granular material ; discrete element method ; modeling theories ; hexagonal close-packed structure ; n/a
    Language English
    Size 1 electronic resource (430 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030649956
    ISBN 9783036584751 ; 3036584757
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: A Survey Bias Index Based on Unmanned Aerial Vehicle Imagery to Review the Accuracy of Rural Surveys

    Xueyan Zhang

    Land, Vol 11, Iss 873, p

    2022  Volume 873

    Abstract: Field surveys and questionnaires are a cornerstone of rural socioeconomic research, providing invaluable firsthand data regarding on-the-ground situations. However, cost-effective and efficient methods for validating the accuracy of self-reported data in ...

    Abstract Field surveys and questionnaires are a cornerstone of rural socioeconomic research, providing invaluable firsthand data regarding on-the-ground situations. However, cost-effective and efficient methods for validating the accuracy of self-reported data in such questionnaires are lacking. Biased data are likely to lead to incorrect conclusions. In this study, we propose a new index, the survey bias index (SBI), for evaluating the degree of survey bias in field surveys. This index was obtained by comparing the data recorded in questionnaires with those from portable unmanned aerial vehicles (UAVs). In a case study, we employed SBI to reveal the degree of survey bias of questionnaires in field surveys on rural homesteads. The SBI of self-reported areas of rural homesteads reached 0.439, implying that 43.9% of data were significantly different from those collected using UAVs. A greater SBI was obtained in the pre-urban zone (0.515) than in the pure rural zone (0.258). These results indicate that homestead areas in the pre-urban zone have more incentive to expand than those in the pure rural zone. UAV remote sensing can strongly support research in the field of social economy, which reveals key information hidden in field surveys and questionnaires.
    Keywords survey bias ; rural survey ; unmanned aerial vehicle ; data validation ; China ; Agriculture ; S
    Subject code 310
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: New Light on the Person With the Lamp: Tales from Shanghai, China.

    Li, Xueyan / Zhang, Weiying

    Journal of emergency nursing

    2022  Volume 48, Issue 4, Page(s) 465–466

    Language English
    Publishing date 2022-07-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604632-0
    ISSN 1527-2966 ; 0099-1767
    ISSN (online) 1527-2966
    ISSN 0099-1767
    DOI 10.1016/j.jen.2021.11.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Prediction of the Potential Distributions of

    Zhang, Zhe / Chen, Lin / Zhang, Xueyan / Li, Qing

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 2

    Abstract: ... Prunus ... ...

    Abstract Prunus salicina
    Language English
    Publishing date 2023-01-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9020189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Bacillus Calmette-Guérin-induced kidney granulomas.

    Zhang, Xueyan / Lian, Huixiu / Song, Xiaolei / Li, Jun

    Kidney international

    2024  Volume 105, Issue 5, Page(s) 1131

    MeSH term(s) Humans ; BCG Vaccine/adverse effects ; Urinary Bladder Neoplasms ; Carcinoma, Transitional Cell ; Granuloma/chemically induced ; Kidney ; Adjuvants, Immunologic ; Neoplasm Recurrence, Local
    Chemical Substances BCG Vaccine ; Adjuvants, Immunologic
    Language English
    Publishing date 2024-02-22
    Publishing country United States
    Document type Case Reports
    ZDB-ID 120573-0
    ISSN 1523-1755 ; 0085-2538
    ISSN (online) 1523-1755
    ISSN 0085-2538
    DOI 10.1016/j.kint.2023.10.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Village-Level Homestead and Building Floor Area Estimates Based on UAV Imagery and U-Net Algorithm

    Xueyan Zhang

    ISPRS International Journal of Geo-Information, Vol 9, Iss 403, p

    2020  Volume 403

    Abstract: China’s rural population has declined markedly with the acceleration of urbanization and industrialization, but the area under rural homesteads has continued to expand. Proper rural land use and management require large-scale, efficient, and low-cost ... ...

    Abstract China’s rural population has declined markedly with the acceleration of urbanization and industrialization, but the area under rural homesteads has continued to expand. Proper rural land use and management require large-scale, efficient, and low-cost rural residential surveys; however, such surveys are time-consuming and difficult to accomplish. Unmanned aerial vehicle (UAV) technology coupled with a deep learning architecture and 3D modelling can provide a potential alternative to traditional surveys for gathering rural homestead information. In this study, a method to estimate the village-level homestead area, a 3D-based building height model (BHM), and the number of building floors based on UAV imagery and the U-net algorithm was developed, and the respective estimation accuracies were found to be 0.92, 0.99, and 0.89. This method is rapid and inexpensive compared to the traditional time-consuming and costly household surveys, and, thus, it is of great significance to the ongoing use and management of rural homestead information, especially with regards to the confirmation of homestead property rights in China. Further, the proposed combination of UAV imagery and U-net technology may have a broader application in rural household surveys, as it can provide more information for decision-makers to grasp the current state of the rural socio-economic environment.
    Keywords rural homestead ; household survey ; U-net ; UAV ; China ; Geography (General) ; G1-922
    Subject code 720
    Language English
    Publishing date 2020-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Interleukin-17 prevents oxidative stress from damaging osteoblast formation by inhibiting autophagic degradation of metallothionein-2.

    Ling, Xueyan / Wang, Cuixia / Feng, Qin / Zhang, Tao

    Endocrine journal

    2024  

    Abstract: Interleukin 17A (IL-17A) is a key cytokine promoting osteoblast formation, which contributes to osteogenesis. IL-17A functions in autophagy inhibition within osteoblasts. Metallothionein-2 (MT-2), as an important reactive oxygen species (ROS)-scavenging ... ...

    Abstract Interleukin 17A (IL-17A) is a key cytokine promoting osteoblast formation, which contributes to osteogenesis. IL-17A functions in autophagy inhibition within osteoblasts. Metallothionein-2 (MT-2), as an important reactive oxygen species (ROS)-scavenging molecule, prevents oxidative stress from damaging osteoblast formation. The relationship between IL-17A-regulated autophagy and MT-2 production under oxidative stress deserves further exploration. In this study, we first investigated the roles of IL-17A in osteoblastic differentiation and ROS production in osteoblast precursors in the presence of hydrogen peroxide (H
    Language English
    Publishing date 2024-04-20
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 1151918-6
    ISSN 1348-4540 ; 0918-8959
    ISSN (online) 1348-4540
    ISSN 0918-8959
    DOI 10.1507/endocrj.EJ24-0050
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A Survey Bias Index Based on Unmanned Aerial Vehicle Imagery to Review the Accuracy of Rural Surveys

    Zhang, Xueyan

    Land. 2022 June 08, v. 11, no. 6

    2022  

    Abstract: Field surveys and questionnaires are a cornerstone of rural socioeconomic research, providing invaluable firsthand data regarding on-the-ground situations. However, cost-effective and efficient methods for validating the accuracy of self-reported data in ...

    Abstract Field surveys and questionnaires are a cornerstone of rural socioeconomic research, providing invaluable firsthand data regarding on-the-ground situations. However, cost-effective and efficient methods for validating the accuracy of self-reported data in such questionnaires are lacking. Biased data are likely to lead to incorrect conclusions. In this study, we propose a new index, the survey bias index (SBI), for evaluating the degree of survey bias in field surveys. This index was obtained by comparing the data recorded in questionnaires with those from portable unmanned aerial vehicles (UAVs). In a case study, we employed SBI to reveal the degree of survey bias of questionnaires in field surveys on rural homesteads. The SBI of self-reported areas of rural homesteads reached 0.439, implying that 43.9% of data were significantly different from those collected using UAVs. A greater SBI was obtained in the pre-urban zone (0.515) than in the pure rural zone (0.258). These results indicate that homestead areas in the pre-urban zone have more incentive to expand than those in the pure rural zone. UAV remote sensing can strongly support research in the field of social economy, which reveals key information hidden in field surveys and questionnaires.
    Keywords case studies ; cost effectiveness ; land ; surveys ; unmanned aerial vehicles
    Language English
    Dates of publication 2022-0608
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2682955-1
    ISSN 2073-445X
    ISSN 2073-445X
    DOI 10.3390/land11060873
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: In situ

    Zhang, Xiaoyu / Peng, Xueyan / Wang, Xuan / Zhang, Qian / Wang, Zixin / Li, Ling

    Dalton transactions (Cambridge, England : 2003)

    2024  Volume 53, Issue 13, Page(s) 6112–6119

    Abstract: Based on carbon nanofibers (CNFs) with excellent electrical conductivity, a three-layer cladding structure CNFs@ ... ...

    Abstract Based on carbon nanofibers (CNFs) with excellent electrical conductivity, a three-layer cladding structure CNFs@Bi
    Language English
    Publishing date 2024-03-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt04347a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Evaluating the Applicability of the TOMCAST Model for the Control of Potato Early Blight in China.

    Li, Qing / Zhang, Xueyan / Ma, Xin / Li, Hailong

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 8

    Abstract: To explore the applicability of different fungicide application schemes to control potato early blight (mainly caused ... ...

    Abstract To explore the applicability of different fungicide application schemes to control potato early blight (mainly caused by
    Language English
    Publishing date 2023-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12081634
    Database MEDical Literature Analysis and Retrieval System OnLINE

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