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  1. Article ; Online: Impact of demographic factors on corneal donor recovery.

    He, Xu / Munir, Wuqaas M

    International ophthalmology

    2024  Volume 44, Issue 1, Page(s) 20

    Abstract: Purpose: Death-to-preservation time (DTP) is a commonly reported, but infrequently studied, measure of efficiency for the corneal tissue procurement process and is a key screening component for corneal tissue suitability for transplantation. It is ... ...

    Abstract Purpose: Death-to-preservation time (DTP) is a commonly reported, but infrequently studied, measure of efficiency for the corneal tissue procurement process and is a key screening component for corneal tissue suitability for transplantation. It is unknown whether demographic factors such as race, age, or gender may affect DTP.
    Methods: This retrospective cross-sectional study included all deceased-donor eye tissue collected by CorneaGen Eye Banks between June 1, 2012 and June 30, 2016. Exposure variables of race, age, and gender were independently analyzed with the outcome variable, DTP, using three simple linear regression analyzes. Associations were then confirmed by a multiple linear regression analysis within a single model.
    Results: A total of 24,138 unique donors were identified from 48,207 donor eyes. Simple linear regression analysis showed that relative to White donors, Black and Hispanic donors were associated with a 2.40 h (95% CI 2.07-2.74 h, p < 0.001) and 2.48 h (95% CI 2.15-2.80 h, p < 0.001) longer mean DTP, respectively. DTP decreased with increasing age, at a rate of 30 min per every 10 years (95% CI 27-33 min, p < 0.001). Male donors were associated with a 35 min (95% CI 26-44 min, p < 0.001) longer DTP relative to female donors. A multiple linear regression confirmed the results of the three simple linear regressions.
    Conclusions: In a large cohort of corneal donors, non-White race, younger age, and male gender were associated with longer DTP.
    MeSH term(s) Humans ; Female ; Male ; Child ; Cross-Sectional Studies ; Retrospective Studies ; Tissue Donors ; Cornea ; Demography
    Language English
    Publishing date 2024-02-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 800087-6
    ISSN 1573-2630 ; 0165-5701
    ISSN (online) 1573-2630
    ISSN 0165-5701
    DOI 10.1007/s10792-024-02964-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Comment on: Effects of virtual reality-based cognitive interventions on cognitive function and activity of daily living among stroke patients: Systematic review and meta-analysis.

    Chen, Jing / He, Xu-Ying

    Journal of clinical nursing

    2024  

    Language English
    Publishing date 2024-04-14
    Publishing country England
    Document type Letter
    ZDB-ID 1159483-4
    ISSN 1365-2702 ; 0962-1067 ; 1752-9816
    ISSN (online) 1365-2702
    ISSN 0962-1067 ; 1752-9816
    DOI 10.1111/jocn.17167
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Thesis: Anwendung der 1H-MR-Spektroskopie in der klinischen Demenzdiagnostik

    He,

    Perspektiven für eine präklinische Diagnostik der Alzheimer-Demenz

    2006  

    Author's details vorgelegt von Xü He
    Language German
    Size 55 Bl., Ill., graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Erlangen, Nürnberg, Univ., Diss., 2006
    HBZ-ID HT015974382
    Database Catalogue ZB MED Medicine, Health

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  4. Article ; Online: Retrospective analysis of prognostic factors in esophageal adenocarcinoma.

    Liu, Ming / Wang, Hongyan / Zhao, Xiaopeng / He, Xu

    Minerva medica

    2024  

    Language English
    Publishing date 2024-01-24
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 123586-2
    ISSN 1827-1669 ; 0026-4806
    ISSN (online) 1827-1669
    ISSN 0026-4806
    DOI 10.23736/S0026-4806.24.09109-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Integrated traditional Chinese and Western medicine in the prevention and treatment of non-alcoholic fatty liver disease: future directions and strategies.

    Ding, Xin / He, Xu / Tang, Bulang / Lan, Tian

    Chinese medicine

    2024  Volume 19, Issue 1, Page(s) 21

    Abstract: Traditional Chinese medicine (TCM) has been widely used for several centuries for metabolic diseases, including non-alcoholic fatty liver disease (NAFLD). At present, NAFLD has become the most prevalent form of chronic liver disease worldwide and can ... ...

    Abstract Traditional Chinese medicine (TCM) has been widely used for several centuries for metabolic diseases, including non-alcoholic fatty liver disease (NAFLD). At present, NAFLD has become the most prevalent form of chronic liver disease worldwide and can progress to non-alcoholic steatohepatitis (NASH), cirrhosis, and even hepatocellular carcinoma. However, there is still a lack of effective treatment strategies in Western medicine. The development of NAFLD is driven by multiple mechanisms, including genetic factors, insulin resistance, lipotoxicity, mitochondrial dysfunction, endoplasmic reticulum stress, inflammation, gut microbiota dysbiosis, and adipose tissue dysfunction. Currently, certain drugs, including insulin sensitizers, statins, vitamin E, ursodeoxycholic acid and betaine, are proven to be beneficial for the clinical treatment of NAFLD. Due to its complex pathogenesis, personalized medicine that integrates various mechanisms may provide better benefits to patients with NAFLD. The holistic view and syndrome differentiation of TCM have advantages in treating NAFLD, which are similar to the principles of personalized medicine. In TCM, NAFLD is primarily classified into five types based on clinical experience. It is located in the liver and is closely related to spleen and kidney functions. However, due to the multi-component characteristics of traditional Chinese medicine, its application in the treatment of NAFLD has been considerably limited. In this review, we summarize the advances in the pathogenesis and treatment of NAFLD, drawn from both the Western medicine and TCM perspectives. We highlight that Chinese and Western medicine have complementary advantages and should receive increased attention in the prevention and treatment of NAFLD.
    Language English
    Publishing date 2024-02-03
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2260322-0
    ISSN 1749-8546
    ISSN 1749-8546
    DOI 10.1186/s13020-024-00894-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A more appropriate modality may be desired for the measurement of inferior vena cava filter position.

    Gong, Maofeng / He, Xu / Gu, Jianping

    Journal of vascular surgery. Venous and lymphatic disorders

    2024  Volume 12, Issue 2, Page(s) 101735

    MeSH term(s) Humans ; Vena Cava Filters ; Vena Cava, Inferior/diagnostic imaging ; Vena Cava, Inferior/surgery ; Device Removal
    Language English
    Publishing date 2024-02-08
    Publishing country United States
    Document type Letter
    ISSN 2213-3348
    ISSN (online) 2213-3348
    DOI 10.1016/j.jvsv.2023.101735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Infrared image target detection for substation electrical equipment based on improved faster region-based convolutional neural network algorithm.

    Wu, Changdong / Wu, Yanliang / He, Xu

    The Review of scientific instruments

    2024  Volume 95, Issue 4

    Abstract: Substation electrical equipment generates a massive number of infrared images during operation. However, the overall quality of the infrared images is low and it lacks image detail information. When using traditional target detection algorithms for ... ...

    Abstract Substation electrical equipment generates a massive number of infrared images during operation. However, the overall quality of the infrared images is low and it lacks image detail information. When using traditional target detection algorithms for detection, feature extraction poses great difficulties. Therefore, to address this problem, this paper proposes a target detection algorithm based on the improved faster region-based convolutional neural network (Faster R-CNN). It achieves the correct identification of different types of electrical equipment in infrared images. First, the algorithm improves the backbone network of Faster R-CNN for feature extraction. An InResNet structure is proposed to replace the residual block structure of the original ResNet-34 network, which enhances the richness of feature extraction. Second, the rectified linear unit activation function in the original feature extraction network is replaced by the exponential linear unit activation function, and group normalization is used instead of batch normalization as the network normalization method. Then, the dense connection structure is introduced into the ResNet-34 network, and the whole network is called residual dense connection network. Finally, the improved Faster R-CNN is compared to the original Faster R-CNN, a single-shot multibox detector, and you only look once v3 plus spatial pyramid pooling. The experimental results show that the improved algorithm has the highest mean average precision and average recall for most of the substation electrical equipment in infrared images. Moreover, from the confidence level of the detected electrical equipment and the accuracy of the prediction box, the improved Faster R-CNN has the best performance.
    Language English
    Publishing date 2024-05-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0200826
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Measurement of iliac vein compression: Which modality is more appropriate?

    Gong, Maofeng / He, Xu / Gu, Jianping

    Journal of vascular surgery. Venous and lymphatic disorders

    2024  Volume 12, Issue 3, Page(s) 101820

    MeSH term(s) Humans ; Iliac Vein ; Vascular Diseases ; May-Thurner Syndrome
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Letter
    ISSN 2213-3348
    ISSN (online) 2213-3348
    DOI 10.1016/j.jvsv.2024.101820
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The influence of environmental tax reform on corporate profit margins—based on the empirical research of the enterprises in the heavy pollution industries

    He, Xu / Jing, Qinlei

    Environ Sci Pollut Res. 2023 Mar., v. 30, no. 13 p.36337-36349

    2023  

    Abstract: The deteriorating global environment has attracted wide attention in various countries. How to curb environmental pollution and achieve sustainable economic growth has become an urgent problem that we must face. As an effective tool for pollution control, ...

    Abstract The deteriorating global environment has attracted wide attention in various countries. How to curb environmental pollution and achieve sustainable economic growth has become an urgent problem that we must face. As an effective tool for pollution control, environmental tax has been implemented in many developed countries and has achieved good results. As the largest developing country in the world, China introduced the first environmental tax law in its history in December 2016, which is regarded as a major reform of the green tax system. To explore the implementation effect of environmental tax in China, this paper takes 3867 Chinese listed enterprises (2015–2020) in Shanghai and Shenzhen A shares as the research sample and explores the microeconomic effect of environmental tax reform using the difference in difference (DID) method. It is concluded that the environmental tax reform can produce a positive impact on the corporate profit margins while curbing the enterprise pollution behavior. This positive effect comes from the investment improvement effect and the cost-saving effect, and this effect is heterogeneous between different regions and property rights enterprises. Therefore, the design of the tax system must be implemented with different measures. Environmental taxes have achieved positive policy results in China, contributing to sustainable economic growth. This tax reform has an important reference value for the developing countries in the industrialization stage.
    Keywords business enterprises ; cost effectiveness ; empirical research ; industrialization ; issues and policy ; pollution ; pollution control ; China
    Language English
    Dates of publication 2023-03
    Size p. 36337-36349.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-24893-7
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Automated graptolite identification at high taxonomic resolution using residual networks

    Zhi-Bin Niu / Si-Yuan Jia / Hong-He Xu

    iScience, Vol 27, Iss 1, Pp 108549- (2024)

    1481  

    Abstract: Summary: Graptolites, fossils significant for evolutionary studies and shale gas exploration, are traditionally identified visually by taxonomists due to their intricate morphologies and preservation challenges. Artificial intelligence (AI) holds great ... ...

    Abstract Summary: Graptolites, fossils significant for evolutionary studies and shale gas exploration, are traditionally identified visually by taxonomists due to their intricate morphologies and preservation challenges. Artificial intelligence (AI) holds great promise for transforming such meticulous tasks. In this paper, we demonstrate that graptolites can be identified with taxonomist accuracy using a deep learning model. We construct the most sophisticated and largest professional single organisms image dataset to date, which is composed of >34,000 images of 113 graptolite species annotated at pixel-level resolution to train the model, develop, and evaluate deep learning networks to classify graptolites. The model’s performance surpassed taxonomists in accuracy, time, and generalization, achieving 86% and 81% accuracy in identifying graptolite genus and species, respectively. This AI-based method, capable of recognizing minute morphological details better than taxonomists, can be integrated into web and mobile apps, extending graptolite identification beyond research institutes and enhancing shale gas exploration efficiency.
    Keywords Earth sciences ; Geology ; Paleontology ; Artificial intelligence ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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