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  1. Article ; Online: Research on Innovation Promotion and Application of Guangzhou New Energy Automobile Industry

    Zhang Xueyu / Li Wenyong

    E3S Web of Conferences, Vol 292, p

    2021  Volume 01011

    Abstract: The new energy automobile industry has now formed a complete industrial chain. The cities in the Bay Area have a clear division of labor, sufficient technical reserves, and strong policy support. They are emerging industries that are mainly supported. ... ...

    Abstract The new energy automobile industry has now formed a complete industrial chain. The cities in the Bay Area have a clear division of labor, sufficient technical reserves, and strong policy support. They are emerging industries that are mainly supported. With the continuous upgrading and transformation of the industry, the transformation and upgrading of the Guangzhou automobile industry is on the agenda. This paper discusses the current situation and problems of Guangzhou automobile industry. Analysis of Several Important Influencing Factors of Guangzhou Automobile Industry Innovation in Transformation and Upgrading. Through multi-factor comparison and data analysis, this paper puts forward the corresponding optimization path, in order to accelerate the transformation , upgrading of Guangzhou automobile industry innovation ecosystem and improve the incentive mechanism of Guangzhou new energy automobile industry innovation.
    Keywords Environmental sciences ; GE1-350
    Subject code 670
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Guangdong-Hong Kong-Macau Greater Bay Area’s Construction promotes the Economic Development of Guangdong in the New era

    Li Wenyong / Zhang Xueyu

    E3S Web of Conferences, Vol 235, p

    2021  Volume 02014

    Abstract: The construction of urban agglomeration and regional economic integration have become a new trend of regional economic development in China. Bay area economy is an important force to drive regional development and lead technological innovation. Guangdong- ...

    Abstract The construction of urban agglomeration and regional economic integration have become a new trend of regional economic development in China. Bay area economy is an important force to drive regional development and lead technological innovation. Guangdong-Hong Kong-Macau Greater Bay Area arises at the historic moment. By analyzing the demonstration effect of the experience and characteristics of the construction of the international three major bay areas on the construction of Guangdong-Hong Kong-Macau Greater Bay Area, this paper analyzes the characteristics and advantages of Guangdong-Hong Kong-Macau Greater Bay Area in the process of development, and puts forward the main measures to promote the economic development of Guangdong in the new era.
    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Research on the incentive of Government subsidy in the Innovation ecosystem of Guangzhou New Energy Automobile Industry

    Zhang Xueyu / Li Wenyong

    E3S Web of Conferences, Vol 235, p

    2021  Volume 01001

    Abstract: Led by made in China 2025 and the 13th five-year Plan of Guangdong Province, the development of strategic emerging industries in Guangdong Province needs to build an innovation ecosystem. In the development of industrial innovation, the management and ... ...

    Abstract Led by made in China 2025 and the 13th five-year Plan of Guangdong Province, the development of strategic emerging industries in Guangdong Province needs to build an innovation ecosystem. In the development of industrial innovation, the management and development of enterprises are affected by policy environment, technological innovation, talent incentive and so on. The profit transformation ability, research and task development ability of core enterprises still need to be improved. On this basis, this paper takes Guangzhou as an example to investigate the current situation of incentive implementation of innovative industry and the role of industrial technological innovation from the starting point of government subsidy policy.Through the analysis of the different roles in each stage of the innovation process to achieve complementary advantages, the transformation of enterprise management mechanism, highlight the incentive mechanism of the innovation ecosystem, and achieve the healthy development of the industrial innovation ecosystem.
    Keywords Environmental sciences ; GE1-350
    Subject code 650
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A systematic approach to macro-level safety assessment and contributing factors analysis considering traffic crashes and violations.

    Wang, Xuesong / Zhang, Xueyu / Pei, Yingying

    Accident; analysis and prevention

    2023  Volume 194, Page(s) 107323

    Abstract: During rapid urbanization and increase in motorization, it becomes particularly important to understand the relationships between traffic safety and risk factors in order to provide targeted improvements and policy recommendations. Violations and police ... ...

    Abstract During rapid urbanization and increase in motorization, it becomes particularly important to understand the relationships between traffic safety and risk factors in order to provide targeted improvements and policy recommendations. Violations and police enforcement are key variables, but the endogenous relationship between crashes and violations has made these variables unreliable and has limited their use. To manage this problem, this study developed a systematic approach for the joint modeling of crashes and violations to identify crash and violation hotspots and examine the mechanisms underlying macro-level contributing factors. Socio-economic, road network, public facility, traffic enforcement, and land use intensity data from 115 towns in Suzhou, China, were collected as independent variables. A bivariate negative binomial spatial conditional autoregressive model (BNB-CAR) and the potential for safety improvement (PSI) method were adopted to identify crash-prone and violation-prone areas, and an interpretable machine learning framework was applied to explore the factors' effects by area. Results showed that the proposed framework was able to accurately identify problem areas and quantify the impact of key factors, which, in Suzhou, were the number of traffic police and their daily patrol time. Considering such enforcement-related information provided important insights into reducing crash and violation frequency; for example, keeping the number of traffic police and daily patrol time under certain thresholds (number of police lower than 11 and patrol time lower than 2.3 h in this sample) was as effective as increasing these numbers for reducing the probability of high-crash and high-violation areas. The proposed approach can help traffic administrators identify the key contributing factors, especially enforcement factors, in crash-prone and violation-prone areas and provide guidelines for improvement.
    MeSH term(s) Humans ; Accidents, Traffic/prevention & control ; Automobile Driving ; Police ; Risk Factors ; Cities
    Language English
    Publishing date 2023-10-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 210223-7
    ISSN 1879-2057 ; 0001-4575
    ISSN (online) 1879-2057
    ISSN 0001-4575
    DOI 10.1016/j.aap.2023.107323
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Study on spatiotemporal dynamic characteristics of precipitation and causes of waterlogging based on a data-driven framework.

    Han, Feifei / Zhang, Xueyu / Yu, Jingshan / Xu, Shugao / Zhou, Guihuan / Li, Shuang

    The Science of the total environment

    2024  Volume 913, Page(s) 169796

    Abstract: The discernible alterations in regional precipitation patterns, influenced by the intersecting factors of urbanization and climate change, exert a substantial impact on urban flood disasters. Based on multi-source precipitation data, a data-driven model ... ...

    Abstract The discernible alterations in regional precipitation patterns, influenced by the intersecting factors of urbanization and climate change, exert a substantial impact on urban flood disasters. Based on multi-source precipitation data, a data-driven model fusion framework was constructed to analyze the spatial and temporal dynamic distribution characteristics of precipitation in Beijing. Wavelet analysis method was used to reveal the periodic variation characteristics and multi-scale effects of precipitation, and the machine learning method was used to characterize the spatiotemporal dynamic change pattern of precipitation. Finally, geographical detector was used to explore the causes of waterlogging in Beijing. The research outcomes reveal a disparate distribution of precipitation across the year, with 78 % of the total precipitation occurring during the flood season. The principal periodic cycles observed in annual cumulative precipitation (ACP) were identified at 21, 13, and 9-year intervals. Spatially, while a decreasing trend in precipitation was observed in most areas of Beijing, 63.4 % of the region exhibited an escalating concentration trend, thereby heightening the risk of urban waterlogging. Machine learning model clustering elucidated three predominant spatial dynamic distribution patterns of precipitation in Beijing. The utilization of web crawler technology to acquire water accumulation data addressed challenges in obtaining urban waterlogging data, and validation through Landsat8 images enhanced data reliability and authenticity. Factor detection shows that road network density, topography, and precipitation were the main factors affecting urban waterlogging. These findings hold significant implications for informing flood control strategies and emergency management protocols in urban areas across China.
    Language English
    Publishing date 2024-01-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.169796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A study on the optimization strategies for the service trade structure of Guangdong-Hong Kong-Macao Greater Bay Area

    Li Wenyong / Zhang Xueyu / Tang Bing’e

    E3S Web of Conferences, Vol 292, p

    2021  Volume 01019

    Abstract: The construction of urban agglomerations and integration of regional economics have become the new trends in Chinese economic development. The economy of Guangdong-Hong Kong-Macao Greater Bay Area plays a significant role in driving regional development ... ...

    Abstract The construction of urban agglomerations and integration of regional economics have become the new trends in Chinese economic development. The economy of Guangdong-Hong Kong-Macao Greater Bay Area plays a significant role in driving regional development and stimulating technological innovation. In this paper, through study on the current situation of trade in service in Guangdong-Hong Kong-Macao Greater Bay Area, the reasons for the improper trade structure are concluded. Through data and case analysis, the factors affecting service trade structure are located. The results of case analysis can offer some useful and viable recommendations for the optimization of service trade structure, which can facilitate the industrial transformation and upgrading in Guangdong-Hong Kong-Macao Greater Bay Area as well as give a fresh impetus to economic growth.
    Keywords Environmental sciences ; GE1-350
    Subject code 337
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Beneficial effects of instrumental music on the production performance of Xiandao green-shell layers housed under different stocking densities

    Cao, Shiwen / Yang, Fengping / Wu, Ruiyong / Zhang, Xueyu / Ye, Manhong / Wei, Wanhong

    Animal Production Science. 2023, v. 63, no. 7 p.664-672

    2023  

    Abstract: Context Egg production rate (EPR) is the main criteria for egg producers and egg quality is important for consumers. Exposed to music, layers kept at appropriate stocking density could display optimal production performance without compromising egg ... ...

    Abstract Context Egg production rate (EPR) is the main criteria for egg producers and egg quality is important for consumers. Exposed to music, layers kept at appropriate stocking density could display optimal production performance without compromising egg quality. Aims This study aimed to investigate the possibility of employing instrumental music stimulus and regulating stocking density to maximise egg production performance and improve egg quality in Xiandao green-shell layers. Methods In total, 378 30-week-old layers were randomly distributed into nine treatments across three types of sound sources (natural sound, instrumental music, or mixed road noise)×three different stocking densities (4, 7 and 10birds/cage corresponding to low, medium, and high density respectively), with six replicates per treatment. The 24-day experimental period was equally divided into four phases. EPR, average egg weight, and serum IgG concentration were determined at the end of each phase. Egg quality and organ indices were determined at the end of experiment. Results Hens exposed to music had a significantly higher EPR and laid eggs of better quality than did hens subjected to mixed road noise. Across all parameters, hens exposed to music did not significantly differ from hens exposed to natural sound. Stocking density had significant impacts on EPR, relative eggshell weight, and serum IgG concentration, with hens kept at high stocking density (357cm2 /hen) exhibiting the lowest values. Hens kept at medium density (510cm2 /hen) and low density (892cm2 /hen) showed no significant differences in tested parameters except that the former produced eggs with a significantly higher relative eggshell weight. Significant interactions between sound and density were observed in EPR, relative yolk weight, and spleen index, with hens exposed to music and kept at low density displaying the highest values. Conclusions Music and low stocking density had favourable effects on improving egg production and egg quality, while road noise and high stocking density exerted negative influences on them. Implications Xiandao green-shell layers are recommended to be kept at medium density to maximise the production benefits. The integration of music playback into management practices will not compromise layers’ production potential displayed under natural sound exposure.
    Keywords blood serum ; egg production ; egg shell ; egg weight ; eggs ; music ; spleen ; egg quality ; green-shell layer ; noise ; organ index ; serum IgG ; stocking density
    Language English
    Size p. 664-672.
    Publishing place CSIRO Publishing
    Document type Article ; Online
    ZDB-ID 2472524-9
    ISSN 1836-5787 ; 1836-0939
    ISSN (online) 1836-5787
    ISSN 1836-0939
    DOI 10.1071/AN22288
    Database NAL-Catalogue (AGRICOLA)

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  8. Article: Functional lightweight polystyrene@polydopamine nanoparticle for high-performance ELISA

    Zhang, Xueyu / Liu, Mingyan / Yang, Minghui / Cheng, Wangqing / Xiang, Juan / Zhu, Wu / Chen, Xiang

    Talanta. 2023 Jan. 15, v. 252

    2023  

    Abstract: Nanoparticles are usually used as carrier to load more antibody and enzyme to improve the sensitivity of enzyme-linked immunosorbent assay (ELISA). However, limited by high density and complicated modification procedure, the traditional nanoparticles ... ...

    Abstract Nanoparticles are usually used as carrier to load more antibody and enzyme to improve the sensitivity of enzyme-linked immunosorbent assay (ELISA). However, limited by high density and complicated modification procedure, the traditional nanoparticles such as Au nanoparticles (AuNPs) usually induce large background signal and poor reproducibility in ELISA. In this work, functional lightweigh nanoparticle polystyrene@polydopamine (PS@PDA) was prepared and induced as the carrier of detection antibody and horseradish peroxidase (HRP) to form PS@PDA@Ab₂/HRP biojungates. The appropriate density (close to water) and good hydropilicity ensure the good dispersion of PS@PDA@Ab₂/HRP in solution, preventing the physical sedimention and decreasing the background signal even though the bioconjugate's size is close to 200 nm. The large surface area and abundant active group from PDA facilitate the loading of detection antibody and HRP, improving the loading efficiency and stability of biojungates. Based on it, taking interleukin-17A (IL-17A, a biomarker of psoriasis) as the detection target, we developed a PS@PDA-based sandwich ELISA, achieving a sensitive dynamic range from 0.3 to 80 pg/mL and a detection limit of 0.2 pg/mL. Furthermore, the contents of IL-17A were assayed successfully in 10-fold diluted serum samples from psoriasis patients. Compared with those commercial or AuNP-based ELISA, our PS@PDA-based ELISA method exhibits higher sensitivity, lower background interference, and higher stability, which will significantly improve the application of ELISA in the low-abundant biomolecule assays.
    Keywords antibodies ; biomarkers ; blood serum ; detection limit ; enzyme-linked immunosorbent assay ; interleukin-17 ; nanogold ; nanoparticles ; peroxidase ; psoriasis ; surface area
    Language English
    Dates of publication 2023-0115
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1500969-5
    ISSN 1873-3573 ; 0039-9140
    ISSN (online) 1873-3573
    ISSN 0039-9140
    DOI 10.1016/j.talanta.2022.123871
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery.

    Zhang, Xueyu / Li, Qingxiang / Li, Wei / Guo, Yuxing / Zhang, Jianyun / Guo, Chuanbin / Chang, Kan / Lovell, Nigel H

    IEEE journal of biomedical and health informatics

    2024  Volume 28, Issue 3, Page(s) 1552–1563

    Abstract: Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical lymph metastases. Therefore, it is necessary to rely on a reasonable ... ...

    Abstract Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical lymph metastases. Therefore, it is necessary to rely on a reasonable screening method to quickly judge the cervical lymph metastastic condition of OSCC patients and develop appropriate treatment plans. In this study, the widely used pathological sections with hematoxylin-eosin (H&E) staining are taken as the target, and combined with the advantages of hyperspectral imaging technology, a novel diagnostic method for identifying OSCC lymph node metastases is proposed. The method consists of a learning stage and a decision-making stage, focusing on cancer and non-cancer nuclei, gradually completing the lesions' segmentation from coarse to fine, and achieving high accuracy. In the learning stage, the proposed feature distillation-Net (FD-Net) network is developed to segment the cancerous and non-cancerous nuclei. In the decision-making stage, the segmentation results are post-processed, and the lesions are effectively distinguished based on the prior. Experimental results demonstrate that the proposed FD-Net is very competitive in the OSCC hyperspectral medical image segmentation task. The proposed FD-Net method performs best on the seven segmentation evaluation indicators: MIoU, OA, AA, SE, CSI, GDR, and DICE. Among these seven evaluation indicators, the proposed FD-Net method is 1.75%, 1.27%, 0.35%, 1.9%, 0.88%, 4.45%, and 1.98% higher than the DeepLab V3 method, which ranks second in performance, respectively. In addition, the proposed diagnosis method of OSCC lymph node metastasis can effectively assist pathologists in disease screening and reduce the workload of pathologists.
    MeSH term(s) Humans ; Carcinoma, Squamous Cell/diagnostic imaging ; Squamous Cell Carcinoma of Head and Neck ; Lymphatic Metastasis/diagnostic imaging ; Mouth Neoplasms/diagnostic imaging ; Lymph Nodes/diagnostic imaging ; Head and Neck Neoplasms
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3350245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Impact of dissolved oxygen and loading rate on NH

    Zhang, Xueyu / Li, Shida / Zheng, Shaokui / Duan, Shoupeng

    Microbial biotechnology

    2020  Volume 14, Issue 2, Page(s) 419–429

    Abstract: Microaerobic activated sludge (MAS) is a one-stage process operated at 0.5-1.0 mg ... ...

    Abstract Microaerobic activated sludge (MAS) is a one-stage process operated at 0.5-1.0 mg l
    MeSH term(s) Ammonia ; Bioreactors ; Denitrification ; Nitrification ; Nitrogen ; Oxidation-Reduction ; Oxygen ; Sewage
    Chemical Substances Sewage ; Ammonia (7664-41-7) ; Nitrogen (N762921K75) ; Oxygen (S88TT14065)
    Language English
    Publishing date 2020-06-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2406063-X
    ISSN 1751-7915 ; 1751-7907
    ISSN (online) 1751-7915
    ISSN 1751-7907
    DOI 10.1111/1751-7915.13599
    Database MEDical Literature Analysis and Retrieval System OnLINE

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