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  1. Book ; Thesis: Systematic comparison of preservation solutions in a rat renal transplant model

    Zeng, Xiaokui

    2021  

    Institution Universität Duisburg-Essen
    Author's details vorgelegt von Xiaokui Zeng
    Language English
    Size 73 Blätter, Illustrationen
    Publishing place Duisburg ; Essen
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Universität Duisburg-Essen, 2022
    HBZ-ID HT021288297
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2022 E 480 order for loan Magazin

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  2. Article: Highly Thermal Conductive Nanocomposites.

    Zeng, Xiaoliang

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 9

    Abstract: The Special Issue ... ...

    Abstract The Special Issue of
    Language English
    Publishing date 2023-04-23
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13091443
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Molecular Computing and Bioinformatics

    Zeng, Xiangxiang / Rodríguez-Patón, Alfonso / Zou, Quan

    2019  

    Abstract: This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different ... ...

    Abstract This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis
    Keywords Technology (General) ; Biotechnology
    Size 1 electronic resource (390 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Document type Book ; Online
    Note eng ; Open Access
    HBZ-ID HT020307383
    ISBN 9783039211951 ; 9783039211968 ; 3039211951 ; 303921196X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article ; Online: Research on Cross-Contrast Neural Network Based Intelligent Painting: Taking Oil Painting Language Classification as an Example.

    Zeng, Xi

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 7827587

    Abstract: With the continuous fermentation of the thought of intelligence, artificial intelligence has extended its tentacles into the field of artistic creation and has begun to try intelligent creation. Painting creation based on artificial intelligence is ... ...

    Abstract With the continuous fermentation of the thought of intelligence, artificial intelligence has extended its tentacles into the field of artistic creation and has begun to try intelligent creation. Painting creation based on artificial intelligence is called "intelligent painting." For oil paintings, the computational language is a relatively complicated description. How to correctly identify the computational language of oil paintings is essential for establishing a large oil painting database. This paper constructs a meaningful learning similarity measure and multiclassification model based on the CCNN model to realize the classification of oil painting language. A cropped CNN model is used to extract language features, and on this basis, oil painting works are cross-compared and multiclassified. This method realizes the classification of oil painting language and the corresponding painter and achieves superior accuracy. This paper constructs a data classification method based on small samples, measures similarity through cross-comparison, and provides a measuring approach for classifying the language of oil paintings. The CCNN model proposed combines the best classification results of oil painting language, which improves the accuracy of oil painting language classification. Moreover, it further enriches the methods of oil painting language classification and image recognition under computational intelligence.
    MeSH term(s) Artificial Intelligence ; Intelligence ; Language ; Neural Networks, Computer ; Paintings
    Language English
    Publishing date 2022-06-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/7827587
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Length of Stay Prediction Model of Indoor Patients Based on Light Gradient Boosting Machine.

    Zeng, Xiangrui

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 9517029

    Abstract: The influx of hospital patients has become common in recent years. Hospital management departments need to redeploy healthcare resources to meet the massive medical needs of patients. In this process, the hospital length of stay (LOS) of different ... ...

    Abstract The influx of hospital patients has become common in recent years. Hospital management departments need to redeploy healthcare resources to meet the massive medical needs of patients. In this process, the hospital length of stay (LOS) of different patients is a crucial reference to the management department. Therefore, building a model to predict LOS is of great significance. Five machine learning (ML) algorithms named Lasso regression (LR), ridge regression (RR), random forest regression (RFR), light gradient boosting machine (LightGBM), and extreme gradient boosting regression (XGBR) and six feature encoding methods named label encoding, count encoding, one-hot encoding, target encoding, leave-one-out encoding, and the proposed encoding method are used to construct the regression prediction model. The Scikit-Learn toolbox on the Python platform builds the prediction model. The input is the dataset named Hospital Inpatient Discharges (SPARCS De-Identified) 2017 with 2343569 instances provided by the New York State Department of Health verify the model after removing 2.2% of the missing data, and the model ultimately uses mean squared error (MSE) and coefficient of determination (
    MeSH term(s) Algorithms ; Humans ; Length of Stay ; Machine Learning
    Language English
    Publishing date 2022-08-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/9517029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Win-Win: Anthropogenic circularity for metal criticality and carbon neutrality.

    Zeng, Xianlai

    Frontiers of environmental science & engineering

    2022  Volume 17, Issue 2, Page(s) 23

    Abstract: Resource depletion and environmental degradation have fueled a burgeoning discipline of anthropogenic circularity since the 2010s. It generally consists of waste reuse, remanufacturing, recycling, and recovery. Circular economy and "zero-waste" cities ... ...

    Abstract Resource depletion and environmental degradation have fueled a burgeoning discipline of anthropogenic circularity since the 2010s. It generally consists of waste reuse, remanufacturing, recycling, and recovery. Circular economy and "zero-waste" cities are sweeping the globe in their current practices to address the world's grand concerns linked to resources, the environment, and industry. Meanwhile, metal criticality and carbon neutrality, which have become increasingly popular in recent years, denote the material's feature and state, respectively. The goal of this article is to determine how circularity, criticality, and neutrality are related. Upscale anthropogenic circularity has the potential to expand the metal supply and, as a result, reduce metal criticality. China barely accomplished 15 % of its potential emission reduction by recycling iron, copper, and aluminum. Anthropogenic circularity has a lot of room to achieve a win-win objective, which is to reduce metal criticality while also achieving carbon neutrality in a near closed-loop cycle. Major barriers or challenges for conducting anthropogenic circularity are deriving from the inadequacy of life-cycle insight governance and the emergence of anthropogenic circularity discipline. Material flow analysis and life cycle assessment are the central methodologies to identify the hidden problems. Mineral processing and smelting, as well as end-of-life management, are indicated as critical priority areas for enhancing anthropogenic circularity.
    Electronic supplementary material: Supplementary material is available in the online version of this article at 10.1007/s11783-023-1623-2 and is accessible for authorized users.
    Language English
    Publishing date 2022-09-05
    Publishing country China
    Document type Journal Article ; Review
    ZDB-ID 2662203-8
    ISSN 2095-221X ; 2095-2201
    ISSN (online) 2095-221X
    ISSN 2095-2201
    DOI 10.1007/s11783-023-1623-2
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    In stock of ZB MED Bonn / Germany

    Z 7938: Show issues

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  7. Book ; Online: Paint3D

    Zeng, Xianfang

    Paint Anything 3D with Lighting-Less Texture Diffusion Models

    2023  

    Abstract: This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs. The key challenge addressed ...

    Abstract This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs. The key challenge addressed is generating high-quality textures without embedded illumination information, which allows the textures to be re-lighted or re-edited within modern graphics pipelines. To achieve this, our method first leverages a pre-trained depth-aware 2D diffusion model to generate view-conditional images and perform multi-view texture fusion, producing an initial coarse texture map. However, as 2D models cannot fully represent 3D shapes and disable lighting effects, the coarse texture map exhibits incomplete areas and illumination artifacts. To resolve this, we train separate UV Inpainting and UVHD diffusion models specialized for the shape-aware refinement of incomplete areas and the removal of illumination artifacts. Through this coarse-to-fine process, Paint3D can produce high-quality 2K UV textures that maintain semantic consistency while being lighting-less, significantly advancing the state-of-the-art in texturing 3D objects.

    Comment: Project Website: https://github.com/OpenTexture/Paint3D
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-12-21
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Win-Win: Anthropogenic circularity for metal criticality and carbon neutrality

    Zeng, Xianlai

    Front. Environ. Sci. Eng.. 2023 Feb., v. 17, no. 2 p.23-23

    2023  

    Abstract: Resource depletion and environmental degradation have fueled a burgeoning discipline of anthropogenic circularity since the 2010s. It generally consists of waste reuse, remanufacturing, recycling, and recovery. Circular economy and “zero-waste” cities ... ...

    Abstract Resource depletion and environmental degradation have fueled a burgeoning discipline of anthropogenic circularity since the 2010s. It generally consists of waste reuse, remanufacturing, recycling, and recovery. Circular economy and “zero-waste” cities are sweeping the globe in their current practices to address the world’s grand concerns linked to resources, the environment, and industry. Meanwhile, metal criticality and carbon neutrality, which have become increasingly popular in recent years, denote the material’s feature and state, respectively. The goal of this article is to determine how circularity, criticality, and neutrality are related. Upscale anthropogenic circularity has the potential to expand the metal supply and, as a result, reduce metal criticality. China barely accomplished 15 % of its potential emission reduction by recycling iron, copper, and aluminum. Anthropogenic circularity has a lot of room to achieve a win-win objective, which is to reduce metal criticality while also achieving carbon neutrality in a near closed-loop cycle. Major barriers or challenges for conducting anthropogenic circularity are deriving from the inadequacy of life-cycle insight governance and the emergence of anthropogenic circularity discipline. Material flow analysis and life cycle assessment are the central methodologies to identify the hidden problems. Mineral processing and smelting, as well as end-of-life management, are indicated as critical priority areas for enhancing anthropogenic circularity.
    Keywords aluminum ; carbon ; circular economy ; copper ; environmental degradation ; governance ; industry ; iron ; life cycle assessment ; material flow analysis ; China
    Language English
    Dates of publication 2023-02
    Size p. 23.
    Publishing place Higher Education Press
    Document type Article ; Online
    Note Review
    ZDB-ID 2662203-8
    ISSN 2095-221X ; 2095-2201
    ISSN (online) 2095-221X
    ISSN 2095-2201
    DOI 10.1007/s11783-023-1623-2
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: [Diagnostic and managing algorithms for common oral mucosal bullous diseases].

    Luo, X B / Zeng, X

    Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology

    2022  Volume 57, Issue 6, Page(s) 654–659

    MeSH term(s) Algorithms ; Humans ; Mouth Diseases/diagnosis ; Mouth Diseases/therapy ; Mouth Mucosa
    Language Chinese
    Publishing date 2022-06-13
    Publishing country China
    Document type Journal Article
    ZDB-ID 1027950-7
    ISSN 1002-0098
    ISSN 1002-0098
    DOI 10.3760/cma.j.cn112144-20220331-00146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2507: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Early diagnosis and standardized treatment are critical to improve the prognosis of patients with Takayasu's arteritis.

    Tian, Xinping / Zeng, Xiaofeng

    Rheumatology and immunology research

    2024  Volume 5, Issue 1, Page(s) 1–4

    Language English
    Publishing date 2024-03-31
    Publishing country Germany
    Document type Editorial
    ISSN 2719-4523
    ISSN (online) 2719-4523
    DOI 10.1515/rir-2024-0001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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