Showing 301 - 320 results of 344 for search 'statistical data augmentation (method OR methods)', query time: 0.15s Refine Results
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    Demographic trend in dengue infection by Raja Rajeswari, Radhika Raman, N P Nivek, R Syed Rasheed, R D Niranjhana Raajasri

    Published 2025-04-01
    “…Categorical data were presented as percentages. Data regarding rainfall was collected from rainfall statistics from the Indian Meteorological department and correlated based on the T-test. …”
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  5. 305

    R&D Intensity, Complementary Assets and Firm Value: Time Series Evidence from Turkey by Kartal Demirgüneş, Yüksel İltaş

    Published 2020-06-01
    “…Finally, the long-run coefficients estimated by Stock and Watson (1993)’s method of DOLS indicate that R&D intensity variable relative to net sales has statistically significant and positive effect on firm value, which then turns negative following the break date. …”
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  6. 306

    ICT integration in education: aligning experiences of ESP lecturers in economic universities by О. Zatserkovnyi

    Published 2024-05-01
    “…The study employs a mixed-methods approach. It combines survey data analysis with focus group discussions to explore lecturers’ perspectives on ICT integration. …”
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    Restoration of NOX4 signalling reverses endothelial colony-forming cell angiogenic dysfunction associated with experimental and clinical diabetes by Karla M. O’Neill, Kevin S. Edgar, Shun Hay Pun, David C. Campbell, Tinrui Toh, Xin N. Wong, Bianca Botezatu, Jyoti Kandel, Una McCoy, Jennifer Nicell, Catherine McClintock, Kiran J. McLoughlin, Yuxin Wu, Vinuthna Vani Madishetti, Arya Moez, Mohammed Alsaggaf, Eleanor K. Gill, Rawan A. Abudalo, Christina L. O’Neill, Edoardo Pedrini, Jasenka Guduric-Fuchs, Coy Brunssen, Henning Morawietz, Philip D. Dunne, Chris J. Watson, Reinhold J. Medina, David J. Grieve

    Published 2025-06-01
    “…Conclusions Taken together, these data indicate for the first time that reduced NOX4 expression plays a pivotal role in CB-ECFC angiogenic dysfunction linked with diabetes whilst highlighting NOX4-dependent signalling as a potential target to protect and augment their intrinsic vasoreparative capacity towards addressing current translational barriers.…”
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    Analysis of maternal fetal outcomes and complete blood count parameters according to the stages of placental abruption: a retrospective study by Sevki Sener, Gulsum Uysal, Cevdet Adiguzel, Nefise Tanridan Okcu

    Published 2025-06-01
    “…We believe that commonly conducted, cost-effective, and straightforward hemogram parameters, when augmented by artificial intelligence, can provide therapeutic support through the interpretation of data such as PLR and NLP in instances of ambiguous laboratory diagnoses, such as placental abruption.…”
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  10. 310

    Community surveillance and response to maternal and child deaths in low- and middle-income countries: A scoping review. by Tariro J Basera, Kathrin Schmitz, Jessica Price, Merlin Willcox, Edna N Bosire, Ademola Ajuwon, Marjorie Mbule, Agnes Ronan, Fiona Burtt, Esca Scheepers, Jude Igumbor

    Published 2021-01-01
    “…<h4>Background</h4>Civil registration and vital statistics (CRVS) systems do not produce comprehensive data on maternal and child deaths in most low- and middle-income countries (LMICs), with most births and deaths which occur outside the formal health system going unreported. …”
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    How effective are transport energy consumption, trade openness, and financial development in achieving the sustainable development goals (SDGs)? What are the realities and myths fo... by Salwa Bajja, Ali Celik, Michael Provide Fumey

    Published 2025-06-01
    “…The findings, by using the Augmented Mean Group (AMG) method, show that the relationship between openness to trade and CO2 emissions differs significantly between countries. …”
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    ChatGPT4’s diagnostic accuracy in inpatient neurology: A retrospective cohort study by Sebastian Cano-Besquet, Tyler Rice-Canetto, Hadi Abou-El-Hassan, Simon Alarcon, Jason Zimmerman, Leo Issagholian, Nasser Salomon, Ivan Rojas, Joseph Dhahbi, Michael M. Neeki

    Published 2024-12-01
    “…Background: Large language models (LLMs) such as ChatGPT-4 (CG4) are proving to be valuable tools in the medical field, not only in facilitating administrative tasks, but in augmenting medical decision-making. LLMs have previously been tested for diagnostic accuracy with expert-generated questions and standardized test data. …”
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    Mapping the use of extended reality (XR) in radiation oncology education: a scoping review protocol by Sze-Yuen Yau, Ching-Yi Lee, Hung-Yi Lai, Ching-Hsin Lee, Mi-Mi Chen, Po-Jui Chen

    Published 2025-06-01
    “…Introduction As the field of radiation oncology continues to evolve with rapidly advancing technologies, the need for innovative educational methods is critical. Extended reality (XR) technologies—including virtual reality, augmented reality and mixed reality—have emerged as transformative tools in medical education. …”
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    Exploring hematological diversity, a comprehensive study of CBC variations among the population of Tehsil Kot-Momin Sargodha by Kamran Arzoo, Muhammad Aslam Shaikh, ZafarLatif Awan, Mudaser Hussain Abbasi, Awais Anwar, Amna Akram

    Published 2024-11-01
    “…Study Design: Observational Cross Sectional Study Place of Study: Rai Medical College,Sargodha Materials & Methods: A comprehensive collection of 401 CBC samples was meticoulously acquired from individuals at Medina Medical Complex in Kot-Momin ,Sargodha, subsequent to securing verbal informed consent. …”
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    Parental and step-parental attitudes toward childhood vaccination in Kaduna State of Nigeria: a health belief model approach by Maryam Mukhtar Sahabi, Zahra Amrollah Majdabadi, Reza Negarandeh, Sarieh Poortaghi

    Published 2025-08-01
    “…Participants were selected through consecutive sampling of all eligible individuals who completed a questionnaire evaluating attitudes toward childhood vaccination. Data were analyzed using attended Barau Dikko Teaching Hospital (BDTH) during the data collection period. …”
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    Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

    Published 2025-07-01
    “…Mechanical properties (tensile strength, modulus, elongation at break, impact toughness) were measured per ASTM standards, and density was determined by Archimedes’ method. Using 180 experimental samples, augmented up to 1500 using bootstrap technique, several regression models–linear, random forest, gradient boosting, DNNs–were developed to predict mechanical behavior. …”
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