Showing 2,281 - 2,300 results of 56,754 for search 'data developing analysis', query time: 0.49s Refine Results
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    QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data by Nayoung Kim, Herin Park, Ningning He, Hyeon Young Lee, Sukjoon Yoon

    Published 2012-12-01
    “…We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. …”
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    Upskilling consumers for the digital health era: a content analysis of resources for consumer representative training by Jing Hern Kevin Poh, Clare Mullen, Sonali Munot, Pip Brennan, Clara Chow, Edel O’Hagan

    Published 2024-12-01
    “…It is unclear what resources are freely available to consumer representatives and advocates to learn how digital health tools and platforms are developed, evaluated, and implemented.Aim To examine what freely available resources are available for consumers to learn how digital health tools and platforms are developed, evaluated, and implemented.Methods This was a content analysis study. …”
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    A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI by Yunqing Yang, Zhulin Wang, Haidong Wang, Yun Wang, Yang Fu

    Published 2025-08-01
    “…Sentinel lymph node (SLN) status is crucial for staging and treatment planning. This study aims to develop a non-invasive preoperative model for predicting SLN metastasis using clinical data and preoperative MRI. …”
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    The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023 by Murat Koçak, Zafer Akçalı

    Published 2025-05-01
    “…Bibliometric visualization tools such as Bibliometrix R package software, VOSviewer, and Litmaps were used for comprehensive data analysis. Scientific publications on AI in drug discovery and development were retrieved from the Web of Science Core Collection (WoS CC) database covering 1990–2023. …”
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    Spatiotemporal characteristics of vegetation cover change in the Central Yunnan urban agglomeration from 2000 to 2020 based on Landsat data and its driving factors by Rong Wang, Xue Ding, Bangjin Yi, Jinliang Wang

    Published 2024-01-01
    “…A thorough understanding of the driving mechanisms behind vegetation coverage helps provide scientific basis and policy recommendations for the ecological environment protection, sustainable development and decision-making of urban clusters. Taking the central Yunnan urban cluster as an example, this study utilizes long-term Landsat remote sensing image data from 2000 to 2020 on the Google Earth Engine platform. …”
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    The Relationship between Wisdom and Jealousy Mediated by Self - Esteem : A Path Analysis by Emad Rahimi, Hamid Rafiei-Honar, Mahdi Kheirollahi

    Published 2021-08-01
    “…Micro-growth scale (Brown and Green, 2009), self-esteem scale (Rosenberg, 1965) and jealousy questionnaire (Valizadeh and Azarbayjani, 2010) were used to collect data. The results of statistical analysis showed that jealousy has a significant inverse relation with wisdom (-0.470) and self-esteem (-0.415) (p <0.001). among the relations between jealousy and components of wisdom, the highest correlation coefficient respectively belongs to altruism (0.451) and emotional management (0.450). …”
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    Pregnancy pesticide exposure and child development in low- and middle-income countries: A prospective analysis of a birth cohort in rural Bangladesh and meta-analysis. by Lilia Bliznashka, Aditi Roy, David C Christiani, Antonia M Calafat, Maria Ospina, Nancy Diao, Maitreyi Mazumdar, Lindsay M Jaacks

    Published 2023-01-01
    “…Therefore, we assessed associations between pregnancy pesticide exposure and child development in rural Bangladesh and summarised existing literature in a systematic review and meta-analysis.…”
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    Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data by Shengtang Wang, Weizhen Wang, Feinan Xu

    Published 2025-12-01
    “…To address challenges, we develop a novel deep autoencoder-based framework that integrates multi-source remote sensing data to evaluate UEEQ dynamics systematically and identify its key driving factors. …”
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