Showing 5,981 - 6,000 results of 9,218 for search 'Datchet~', query time: 2.33s Refine Results
  1. 5981
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  3. 5983

    Comparative genomics reveals low levels of inter- and intraspecies diversity in the causal agents of dwarf and common bunt of wheat and hint at conspecificity of Tilletia caries an... by Somayyeh Sedaghatjoo, Bagdevi Mishra, Monika K. Forster, Yvonne Becker, Jens Keilwagen, Berta Killermann, Marco Thines, Petr Karlovsky, Wolfgang Maier

    Published 2022-06-01
    “…We sequenced the genome of four T. caries, five T. controversa, and two T. laevis and extended this dataset with five publicly available ones. The genomes of the three species displayed microsynteny with up to 94.3% pairwise aligned regions excluding repetitive regions. …”
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  4. 5984
  5. 5985

    Integrative Bioinformatics Analysis of Pyroptosis-Related Genes and Analysis of Immune Cell Infiltration in Infantile Hemangioma Regression by Liu L, Lin S, Bai J, Zhang B

    Published 2025-01-01
    “…This study aimed to identify genes related to pyroptosis in IH regression by bioinformatics methods and to explore the effects of these pyroptosis-related genes (PRGs) on disease pathology and immune cell infiltration.Methods: The microarray dataset GSE127487 was assessed to identify differentially expressed genes (DEGs) between proliferation-phase IH (PIHs) and involution-phase IH (IIHs). …”
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  6. 5986

    High clinical burden of classical homocystinuria in the United States: a retrospective analysis by Mahim Jain, Mehul Shah, Kamlesh M. Thakker, Andrew Rava, Agnes Pelts Block, Colette Ndiba-Markey, Lionel Pinto

    Published 2025-01-01
    “…Patients who had 1 or more International Classification of Diseases, Tenth Revision code for homocystinuria (E72.11) or the signs, disease, and symptoms term homocystinuria in the natural language processing dataset were included. To obtain a study population most likely to have HCU, stratifications by tHcy levels, clinical characteristics, and phenotypic expressions were applied to refine the cohort. …”
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  7. 5987
  8. 5988

    Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features by Shishuan Guan, Lei Jiao, Zengyu Wang, Xiaofei Ji, Hongwei Zheng, Cunfeng Yu, Hongtao Li, Liwen Zheng, Shuaishuai Sun, Qiang Sun, Jun Li, Guangwei Jiang, Kezhi Wu, Erge Lin, Xinlong Zhang

    Published 2025-01-01
    “…Firstly, we constructed a 3D model experimental platform based on the human upper respiratory tract to create the cigarette smoke image dataset SmogAg. This data set contains sequence image data of smoke movement patterns of 51 types of cigarettes, including thick, medium and thin cigarettes. …”
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  9. 5989

    Development potential of multi-cropping systems and its influence on agricultural water consumption in the Huang–Huai–Hai River Basin of China by Linghui Li, Qingming Wang, Yong Zhao, Jiaqi Zhai, Haihong Li, Shuying Han, Lichuan Wang, Yunpeng Gui

    Published 2025-03-01
    “…This study analyzed the spatial-temporal changes of the actual and potential CS based on the remote sensing and meteorological dataset from 2001 to 2022 to explore the development potentiality of multi-cropping systems (MCS), and adapted the CS change into the Decision Support System for Agrotechnology Transfer model (DSSAT) to simulate the change of evapotranspiration. …”
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  10. 5990

    Representativeness of the dabigatran, apixaban and rivaroxaban clinical trial populations to real-world atrial fibrillation patients in the United Kingdom: a cross-sectional analys... by Gregory Y H Lip, Sally Lee, Brigitta U Monz, Andreas Clemens, Martina Brueckmann

    Published 2012-12-01
    “…This study aimed to assess the representativeness for the real-world AF population, particularly the population eligible for anticoagulants.Design A cross-sectional database analysis.Setting Dataset derived from the General Practice Research Database (GPRD).Primary and secondary outcomes measure The proportion of real-world patients with AF who met the inclusion/exclusion criteria for RE-LY, ARISTOTLE and ROCKET-AF were compared. …”
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  11. 5991

    Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

    Published 2025-02-01
    “…The models evaluated include two ML approaches: Support Vector Regression (SVR) and eXtreme Gradient Boosting (XGBoost) and four DL models: 1-Dimensional Convolutional Neural Network (1D-CNN), Long Short-Term Memory Networks (LSTM), Gated Recurrent Unit (GRU), and Bi-directional Long Short-Term Memory Network (Bi-LSTM). The dataset was processed and normalized for optimal performance, and hyperparameters were fine-tuned using a randomized search method. …”
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  12. 5992

    Trends in clinical encounters and management for infertility among women attending Australian general practice: a national longitudinal study using MedicineInsight, 2011 to 2021 by Alice R Rumbold, Michael Davies, Danielle Mazza, Jacqueline Boyle, Vivienne Moore, Renae C Fernandez, Luke E Grzeskowiak

    Published 2025-02-01
    “…Objective To examine longitudinal trends in infertility management in women attending general practice.Design Cohort study using the national general practice dataset, MedicineInsight.Setting Australian general practice.Intervention(s) Not applicable.Participants The cohort included 2 552 339 women aged 18–49 years with one or more general practice clinical encounters between January 2011 and December 2021.Primary and secondary outcome measures(s) The primary outcome assessed was the proportion of women who had a clinical encounter related to infertility, stratified by year and age group. …”
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