Showing 41 - 60 results of 4,125 for search 'Data low programming', query time: 0.18s Refine Results
  1. 41

    Exploring Reasons for Low Attendance of Mothers to Growth Monitoring and Promotion Program at Loka Abaya District, Southern Ethiopia: Exploratory Qualitative Study by Mesfin Tekle, Befikadu Tariku, Amsalu Alagaw, Eshetu Zerihun, Habtamu Wondiye Bekele

    Published 2019-01-01
    “…Exploring the reason and better understanding of low attendance of mothers to the GMP program can help to improve the program by incorporating finding. …”
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    Article
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    Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

    Published 2025-07-01
    “…To support the national goals of carbon peaking and carbon neutrality, this study proposes a household carbon emission prediction model based on Gene Expression Programming (GEP) for low-carbon retrofitting of aging residential areas in arid-cold regions. …”
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    Technology System and Engineering Practice of Data Field by Manqing Wu, Richang Hong, Zuocheng Wang, Chuanwen Lin, Yunjie Ma, Jiafeng Guo, Le Wu, Ju Fan, Lan Zhang, Xiang Wang

    Published 2025-02-01
    “…It introduces the fundamental theory of a data field and examines key technologies such as cross-domain data management, data encapsulation, low-entropy data circulation, penetration security, and fusion processing technology. …”
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    Article
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    Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program by Dipendra Shahi, James Todd, Kenneth Gravois, Anna Hale, Brayden Blanchard, Collins Kimbeng, Michael Pontif, Niranjan Baisakh

    Published 2025-03-01
    “…The study demonstrated the potential of using historical data to devise genomic prediction strategies for clonal selection early in sugarcane breeding programs.…”
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    Relations of the use of out-of-school suspensions in U.S. public pre-kindergarten programs to neighborhood opportunity by Richard A. Fabes, Zuchao Shen, Evandra Catherine, Ashley McDonald, Sabina Low, Fuzhe Xie

    Published 2024-12-01
    “…Pre-K public school programs that had high rates of OSS. We also found that disparities in the rates of use of OSS were greater for Black relative to white students and male relative to female students in Pre-K schools that resided in relatively low-resourced neighborhoods. …”
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  13. 53

    Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data by Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia

    Published 2024-12-01
    “…Previous studies have explored the potential of using connected vehicle data for signal retiming specifically under the current low-penetration environment, which will significantly reduce the cost and increase the productivity of signal retiming. …”
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  14. 54

    Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

    Published 2024-12-01
    “…As a key task in machine learning, data classification is essential to find a suitable coordinate system to represent the data features of different classes of samples. …”
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  15. 55

    Low-Voltage Power Restoration Based on Fog Computing Load Forecasting and Data-Driven Wasserstein Distributionally Robust Optimization by Ruoxi Liu, Yifan Song, Yuan Gui, Hanqi Dai, Zhiyong Wang, Chengdong Yin, Qinglei Qin, Wenqin Yang, Yue Wang

    Published 2025-04-01
    “…Secondly, the low-voltage power restoration problem is overall formulated as a three-stage mixed integer program. …”
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  16. 56

    Gestational weight gain in low-income and middle-income countries: a modelling analysis using nationally representative data by Goodarz Danaei, Wafaie W Fawzi, Enju Liu, Anne Marie Darling, Dongqing Wang, Nandita Perumal

    Published 2020-11-01
    “…However, the average levels of GWG across all low-income and middle-income countries of the world have not been characterised using nationally representative data.Methods GWG estimates across time were computed using data from the Demographic and Health Surveys Program. …”
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  17. 57

    The Costs of Digital Health Interventions to Improve Immunization Data in Low- and Middle-Income Countries: Multicountry Mixed Methods Study by Carlo Federici, Maria Verykiou, Marianna Cavazza, Willyhelmina Olomi, Piero Irakiza, Kizito Kayumba, Edith Rodriguez, Luis Enrique Castillo Mendoza, Stefano Malvolti, Claire Hugo, Nyanda Elias Ntinginya, Souleymane Camara, Issa Sabi, Nagnouma Sano, Hassan Sibomana, Jeanine Condo, Aleksandra Torbica, Claudio Jommi, Carsten Mantel, Viviana Mangiaterra

    Published 2025-08-01
    “… Abstract BackgroundDigital health interventions, such as electronic immunization registries (eIRs) and electronic logistic management information systems (eLMIS), have the potential to significantly improve immunization data management and vaccine logistics in low- and middle-income countries (LMICs). …”
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    Improved Weight Gain in Very-low-birth-weight Infants After the Introduction of a Self-created Computer Calculation Program for Individualized Parenteral Nutrition by Maria Gnigler, Bernhard Schlenz, Ursula Kiechl-Kohlendorfer, Mario Rüdiger, Salvador Navarro-Psihas

    Published 2014-02-01
    “…Although 90% of babies <1500 g (very-low-birth-weight or VLBW) are appropriate for gestational age (AGA) at birth, almost all are small for gestational age at 36 weeks of gestation, mainly due to nutritional deficiency in the first weeks of life. …”
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    Effects of physical tracing on estimates of loss to follow-up, mortality and retention in low and middle income country antiretroviral therapy programs: a systematic review. by James H McMahon, Julian H Elliott, Steven Y Hong, Silvia Bertagnolio, Michael R Jordan

    Published 2013-01-01
    “…<h4>Background</h4>A large proportion of patients receiving antiretroviral therapy (ART) in low and middle income countries (LMICs) have unknown treatment outcomes and are classified as lost to follow-up (LTFU). …”
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