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  1. Book ; Online ; E-Book: Monitoring of desert locust in Africa and Asia

    Dong, Yingying / Zhao, Longlong / Huang, Wenjiang

    2023  

    Abstract: This book deals with the topic on remote sensing monitoring of desert locust in Africa and Asia. Remote sensing monitoring of the occurrence and damage of desert locust is conducted by integrating cutting-edge technologies and methods in cross- ... ...

    Author's details Yingying Dong, Longlong Zhao, and Wenjiang Huang
    Abstract This book deals with the topic on remote sensing monitoring of desert locust in Africa and Asia. Remote sensing monitoring of the occurrence and damage of desert locust is conducted by integrating cutting-edge technologies and methods in cross-disciplinary fields in remote sensing science, geographic information science, agronomy, plant protection, agricultural meteorology, mathematics, and computer science. The main contents include spatio-temporal data analysis and processing, desert locust breeding areas monitoring, pest migration path analysis and damage monitoring. Moreover, a desert locust remote sensing monitoring system is constructed and applied in the region of Africa and Asia countries. This book not only provides technical reference for remote sensing monitoring and application of desert locust but also serves as a research reference for scholars and graduate students engaged in agricultural remote sensing, agricultural information technology, plant protection and other related field. It will help to improve remote sensing monitoring and application of desert locust.
    Keywords Desert locust/Control ; Environmental monitoring
    Subject code 632.726
    Language English
    Size 1 online resource (138 pages)
    Edition 1st ed. 2023.
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-19-7238-9 ; 9789811972379 ; 978-981-19-7238-6 ; 9811972370
    DOI 10.1007/978-981-19-7238-6
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: "Premature" Girls with "Illegitimate" Diseases: A Qualitative Exploration of the Stigma of Gynecological Diseases for Unmarried Young Women in China.

    Dong, Yujie

    Journal of health communication

    2023  Volume 28, Issue 2, Page(s) 111–120

    Abstract: Stigma has been a prominent barrier in women's pursuit of better sexual and reproductive health (SRH). Specifically, evidence supports the stigmatization of gynecological diseases (GDs) for unmarried young women. Drawing upon the model of social identity ...

    Abstract Stigma has been a prominent barrier in women's pursuit of better sexual and reproductive health (SRH). Specifically, evidence supports the stigmatization of gynecological diseases (GDs) for unmarried young women. Drawing upon the model of social identity threats, this study explored the GD stigma and social identity threats faced by unmarried young women in China with 26 in-depth interview data. The interpersonal, socio-cultural, and intrapersonal layers of GD stigma were identified. First, participants' disclosure and concealment of GDs concerning different significant others were contrasted as an interpersonal layer and voluntary response to social identity threats. In participants' GD experiences, peers stood out for providing emotional, tangible, and informational support, while parents were most often avoided for anticipated stigma. Second, collective representations of GDs and the cultural rationale in the socio-cultural layer were probed. The traditional and modernized sexual norms centering on the legitimacy of premarital sex and SRH knowledge were unveiled. At last, the interpersonal layer was identified. Unmarried young patients suffered social identity threats regarding their independence, sexual agency, and bodily awareness. This is one of the first studies that investigated the underappreciated GD stigma in China. Theoretical and practical implications are discussed.
    MeSH term(s) Humans ; Female ; Single Person ; Sexual Behavior/psychology ; Sexual Partners ; Social Stigma ; Reproductive Health ; China ; Qualitative Research
    Language English
    Publishing date 2023-02-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1427988-5
    ISSN 1087-0415 ; 1081-0730
    ISSN (online) 1087-0415
    ISSN 1081-0730
    DOI 10.1080/10810730.2023.2185322
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: [The necessity and importance of standardized diagnosis and treatment of primary Sjögren's syndrome].

    Dong, Y

    Zhonghua nei ke za zhi

    2020  Volume 59, Issue 4, Page(s) 267–268

    MeSH term(s) Humans ; Practice Guidelines as Topic ; Sjogren's Syndrome/diagnosis ; Sjogren's Syndrome/therapy
    Language Chinese
    Publishing date 2020-03-26
    Publishing country China
    Document type Journal Article
    ZDB-ID 754223-9
    ISSN 0578-1426
    ISSN 0578-1426
    DOI 10.3760/cma.j.cn112138-20200113-00023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Thesis: Psychosocial factors in irritable bowel syndrome

    Dong, Yuanjun

    a patient cohort follow-up study

    2019  

    Author's details vorgelegt von Yuanjun Dong
    Language English
    Size IV, 142 Blätter, Diagramme, 30 cm
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität zu Heidelberg, 2020
    HBZ-ID HT020623289
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2020 E 1420 order for loan Magazin

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  5. Article ; Online: Red Brick Imperialism: How Vernacular Knowledge Shaped Japanese Colonial Expertise in Northeast China, 1905-45.

    Dong, Yuting

    Technology and culture

    2022  Volume 63, Issue 1, Page(s) 118–152

    Abstract: This article analyzes the influence and mechanism of Japanese imperialism by examining red brick building in Manchuria (Northeast China). Manchuria's extreme climate and geography led Japanese experts to work with Chinese brick masons. They absorbed ... ...

    Abstract This article analyzes the influence and mechanism of Japanese imperialism by examining red brick building in Manchuria (Northeast China). Manchuria's extreme climate and geography led Japanese experts to work with Chinese brick masons. They absorbed Chinese laborers and artisans' vernacular knowledge, translating it into their technical expertise and rebranding it as part of their technological superiority. Studying documents in Russian, Japanese, and Chinese reveals that technology transfer is an interactive yet uneven process between various actors and the environment. This article further complicates the depiction of Japanese imperialism in Northeast China, arguing that imperialism builds on an appropriation and erasure of local knowledge. At the intersection of imperialism and nationalism, red brick became the staple building material in Northeast China, influencing how people build there even today.
    MeSH term(s) China ; Colonialism ; Humans ; Japan ; Russia
    Language English
    Publishing date 2022-01-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2021131-4
    ISSN 1097-3729 ; 0040-165X
    ISSN (online) 1097-3729
    ISSN 0040-165X
    DOI 10.1353/tech.2022.0004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Predictability of Machine Learning Algorithms and Related Feature Extraction Techniques

    Dong, Yunbo

    2023  

    Abstract: This thesis designs a prediction system based on matrix factorization to predict the classification accuracy of a specific model on a particular dataset. In this thesis, we conduct comprehensive empirical research on more than fifty datasets that we ... ...

    Abstract This thesis designs a prediction system based on matrix factorization to predict the classification accuracy of a specific model on a particular dataset. In this thesis, we conduct comprehensive empirical research on more than fifty datasets that we collected from the openml website. We study the performance prediction of three fundamental machine learning algorithms, namely, random forest, XGBoost, and MultiLayer Perceptron(MLP). In particular, we obtain the following results: 1. Predictability of fine-tuned models using coarse-tuned variants. 2. Predictability of MLP using feature extraction techniques. 3. Predict model performance using implicit feedback.

    Comment: Master's thesis. 46 pages for the main content, 23 formulas, preparing for a conference
    Keywords Computer Science - Machine Learning
    Publishing date 2023-04-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Storing a Trie with Compact and Predictable Space

    Dong, Yuxuan

    2023  

    Abstract: This paper proposed a storing approach for trie structures, called coordinate hash trie. The basic idea is using a global hash table with a special hash function to store all edges of a trie. For a trie with $n$ nodes and an alphabet with size $m$, the ... ...

    Abstract This paper proposed a storing approach for trie structures, called coordinate hash trie. The basic idea is using a global hash table with a special hash function to store all edges of a trie. For a trie with $n$ nodes and an alphabet with size $m$, the execution time of finding, inserting and deleting a child node, is $O(1)$ for the average case, $O(m)$ for the worst case. The space used by this approach is $O(n)$, unrelated to $m$. The constant of space consumption is predictable, with no need for reallocation or resizing. In addition, this approach is very easy to implement.

    Comment: 7 pages, 1 figure
    Keywords Computer Science - Data Structures and Algorithms
    Publishing date 2023-02-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Randomized Dimension Reduction with Statistical Guarantees

    Dong, Yijun

    2023  

    Abstract: Large models and enormous data are essential driving forces of the unprecedented successes achieved by modern algorithms, especially in scientific computing and machine learning. Nevertheless, the growing dimensionality and model complexity, as well as ... ...

    Abstract Large models and enormous data are essential driving forces of the unprecedented successes achieved by modern algorithms, especially in scientific computing and machine learning. Nevertheless, the growing dimensionality and model complexity, as well as the non-negligible workload of data pre-processing, also bring formidable costs to such successes in both computation and data aggregation. As the deceleration of Moore's Law slackens the cost reduction of computation from the hardware level, fast heuristics for expensive classical routines and efficient algorithms for exploiting limited data are increasingly indispensable for pushing the limit of algorithm potency. This thesis explores some of such algorithms for fast execution and efficient data utilization. From the computational efficiency perspective, we design and analyze fast randomized low-rank decomposition algorithms for large matrices based on "matrix sketching", which can be regarded as a dimension reduction strategy in the data space. These include the randomized pivoting-based interpolative and CUR decomposition discussed in Chapter 2 and the randomized subspace approximations discussed in Chapter 3. From the sample efficiency perspective, we focus on learning algorithms with various incorporations of data augmentation that improve generalization and distributional robustness provably. Specifically, Chapter 4 presents a sample complexity analysis for data augmentation consistency regularization where we view sample efficiency from the lens of dimension reduction in the function space. Then in Chapter 5, we introduce an adaptively weighted data augmentation consistency regularization algorithm for distributionally robust optimization with applications in medical image segmentation.

    Comment: Ph.D. dissertation (University of Texas at Austin)
    Keywords Computer Science - Machine Learning ; Mathematics - Numerical Analysis ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2023-10-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model.

    Dong, Yafei / Gong, Kuang

    ArXiv

    2024  

    Abstract: Head and neck (H&N) cancers are among the most prevalent types of cancer worldwide, and [18F]F-FDG PET/CT is widely used for H&N cancer management. Recently, the diffusion model has demonstrated remarkable performance in various image-generation tasks. ... ...

    Abstract Head and neck (H&N) cancers are among the most prevalent types of cancer worldwide, and [18F]F-FDG PET/CT is widely used for H&N cancer management. Recently, the diffusion model has demonstrated remarkable performance in various image-generation tasks. In this work, we proposed a 3D diffusion model to accurately perform H&N tumor segmentation from 3D PET and CT volumes. The 3D diffusion model was developed considering the 3D nature of PET and CT images acquired. During the reverse process, the model utilized a 3D UNet structure and took the concatenation of PET, CT, and Gaussian noise volumes as the network input to generate the tumor mask. Experiments based on the HECKTOR challenge dataset were conducted to evaluate the effectiveness of the proposed diffusion model. Several state-of-the-art techniques based on U-Net and Transformer structures were adopted as the reference methods. Benefits of employing both PET and CT as the network input as well as further extending the diffusion model from 2D to 3D were investigated based on various quantitative metrics and the uncertainty maps generated. Results showed that the proposed 3D diffusion model could generate more accurate segmentation results compared with other methods. Compared to the diffusion model in 2D format, the proposed 3D model yielded superior results. Our experiments also highlighted the advantage of utilizing dual-modality PET and CT data over only single-modality data for H&N tumor segmentation.
    Language English
    Publishing date 2024-01-31
    Publishing country United States
    Document type Preprint
    ISSN 2331-8422
    ISSN (online) 2331-8422
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Analysis of the gut microbiome associated to PVC biodegradation in yellow mealworms.

    Xu, Jianquan / Dong, Yongquan

    Ecotoxicology and environmental safety

    2024  Volume 272, Page(s) 116046

    Abstract: The potential of invertebrates in the biodegradation of plastic polymers such as polyvinyl chloride (PVC) is receiving increasing attention. The present study is aimed to identify the gut microbiome involved in this degradation in yellow mealworms, i.e., ...

    Abstract The potential of invertebrates in the biodegradation of plastic polymers such as polyvinyl chloride (PVC) is receiving increasing attention. The present study is aimed to identify the gut microbiome involved in this degradation in yellow mealworms, i.e., the larvae of Tenebrio molitor Linnaeus. The egested PVC polymer experienced a dramatic reduction in both number average molecular weight (Mn) and weight average molecular weight (Mw) of 99.3% and 99.6%, respectively, whereas FTIR analysis revealed chemical alterations. Mass spectrometry analysis identified two potential degradation products: phthalic acid, di(2-propylpentyl) ester and 2-Propenoic acid, tridecyl ester. Further, we used metagenomic sequencing to elucidate the response of the gut microbiome when transitioning from bran to PVC as a food source, identifying four microorganisms actively involved in PVC degradation. Additionally, metagenomic functional analysis of the gut microbiome identified 111 key gene modules that were significantly enriched. In summary, our findings suggest that yellow mealworms adapt to PVC degradation by modifying their gut microbiome both structurally and functionally.
    MeSH term(s) Animals ; Tenebrio ; Polystyrenes/metabolism ; Gastrointestinal Microbiome/physiology ; Plastics/metabolism ; Larva/metabolism ; Biodegradation, Environmental ; Esters
    Chemical Substances Polystyrenes ; Plastics ; Esters
    Language English
    Publishing date 2024-02-02
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 436536-7
    ISSN 1090-2414 ; 0147-6513
    ISSN (online) 1090-2414
    ISSN 0147-6513
    DOI 10.1016/j.ecoenv.2024.116046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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