Showing 2,161 - 2,180 results of 2,202 for search 'distributed data low model', query time: 0.25s Refine Results
  1. 2161

    Waist-to-Height Ratio – Reference Values and Associations with Cardiovascular Risk Factors in a Russian Adult Population by Kholmatova K, Krettek A, Dvoryashina IV, Malyutina S, Cook S, Avdeeva E, Kudryavtsev AV

    Published 2025-08-01
    “…Kamila Kholmatova,1– 3 Alexandra Krettek,1,4,5 Irina V Dvoryashina,3 Sofia Malyutina,6,7 Sarah Cook,8 Ekaterina Avdeeva,6 Alexander V Kudryavtsev2 1Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway; 2International Research Competence Centre, Northern State Medical University, Arkhangelsk, Russia; 3Department of Hospital Therapy and Endocrinology, Northern State Medical University, Arkhangelsk, Russia; 4Department of Public Health, School of Health Sciences, University of Skövde, Skövde, Sweden; 5Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; 6Scientific Research Institute of Internal and Preventive Medicine, Branch of Federal Research Centre Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; 7Department of Therapy, Hematology and Transfusiology, Novosibirsk State Medical University, Novosibirsk, Russia; 8School of Public Health, Faculty of Medicine, Imperial College London, London, UKCorrespondence: Kamila Kholmatova, Department of Community Medicine, UiT The Arctic University of Norway, PO Box 6050, Langnes, NO-9037, Tromsø, Norway, Email kkholmatova@mail.ruPurpose: Waist-to-height ratio (WHtR) is an anthropometric index with limited data on its population distribution. The aim was to establish WHtR reference values and investigate WHtR associations with socio-demographic, lifestyle and clinical characteristics in Russian adults.Methods: We used data from the population-based cross-sectional Know Your Heart study (2015– 2018, Arkhangelsk and Novosibirsk, N = 4495, 58.1% of women, 35– 69 years, mean age 54.0). …”
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  2. 2162

    Sustainable geothermal yield through effective reinjection: reservoir engineering case study of the Dezhou sandstone geothermal reservoir, North Shandong Plain, China by Tingting Zheng, Gudni Axelsson, Fengxin Kang, Jichu Zhao, Pingping Zhang, Tong Bai, Xunchang Yang, Qundao Zhou, Youchun Luo

    Published 2025-08-01
    “…This study integrates effective reinjection technologies with long-term sustainability assessment, providing a comprehensive framework for managing low-temperature sandstone geothermal systems. Based on long-term water-level monitoring data and lumped parameter modelling, a sustainable yield assessment of the reservoir in the urban Dezhou area has been performed, with the deepest permissible water level at 150 m below ground surface over a 100-year time frame. …”
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  3. 2163

    Putting the spotlight on small cloud droplets with SmHOLIMO – a new holographic imager for in situ measurements of clouds by C. Fuchs, F. Ramelli, D. Schweizer, U. Lohmann, J. Henneberger

    Published 2025-07-01
    “…SmHOLIMO's high-resolution in situ data of cloud droplets will help us to better interpret observations and to refine the representation of clouds in climate and weather models.…”
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    The effect of malaria prevention and control interventions on malaria morbidity among children under 5 years and pregnant women in Kintampo North Municipality, Ghana by Christopher Tamal, Chrysantus Kubio, Delia Akosua Bandoh, Maurice Owiny, Ernest Kenu, Edwin Andrew Afari, Samuel Oko Sackey, Donne Kofi Ameme, Priscillia Nortey, Timothy Letsa, Alice Vorleto, Charles Gyamfi, Isaac Addisi

    Published 2019-04-01
    “…We used linear regression models to determine the association between Long-Lasting Insecticide-treated Nets (LLINS) distribution, Intermittent Preventive Treatment in Pregnancy (IPTp) and episodes of malaria in children <5 years old and pregnant women. …”
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  7. 2167

    Final assessment of the COVID-19 pandemic impact between the different social and economic strata population of the city of Buenos Aires by Alejandro Macchia, Cristian Biscayart, Patricia Angeleri, Javier Mariani, Daniel Ferrante

    Published 2024-12-01
    “…The study aim was to ascertain the number and distribution of COVID-19 fatalities among various socio-economic strata in a large, moderate to low-income city. …”
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  8. 2168

    Workload and salary as determinants of pedagogical graduates’ employment by occupation by L. M. Nurieva, S. G. Kiselev

    Published 2021-12-01
    “…The refusal of graduates to be employed by occupation is associated mainly with the poor quality of students’ practical training in universities. Criticising the low attendance rates of young professionals in schools, analysts often ignore the conditions of employment in educational institutions. …”
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    THE BELOMORIAN ECLOGITE PROVINCE (EASTERN FENNOSCANDIAN SHIELD, RUSSIA): MESO-NEOARCHEAN OR LATE PALEOPROTEROZOIC? by M. V. Mints, K. A. Dokukina

    Published 2020-03-01
    “…A critical discussion of competing models of the geodynamic nature (oceanic or continental subduction) and age (Meso-Neoarchean or Late Paleoproterozoic) of the eclogite facies metamorphism in the Belomorian eclogite province (BEP) is based on the systematic analysis of the sum of previously known and newly obtained data characterizing the geological structure of the Salma eclogite association and features of zircons from eclogites, including the isotopegeochronological and geochemical characteristics, composition and distribution of mineral inclusions. …”
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  11. 2171

    Boosting Aeroponic System Development with Plasma and High-Efficiency Tools: AI and IoT—A Review by Waqar Ahmed Qureshi, Jianmin Gao, Osama Elsherbiny, Abdallah Harold Mosha, Mazhar Hussain Tunio, Junaid Ahmed Qureshi

    Published 2025-02-01
    “…The integration of plasma technology with intelligent misting and data-driven control systems can enhance aeroponic systems for sustainable and efficient agricultural production. …”
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  12. 2172

    Urbanization and its Impact on Land Use and Land Cover in Al Buraimi City, Oman Using Remote Sensing and GIS by Ansari Tauseef Ahmad Ahmad, Singh Chandan Kumar, Albawwab Wael

    Published 2025-09-01
    “…To forecast urban sprawl pattern using statistical models, providing insights into potential future developments. …”
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  13. 2173

    Secular trends in physical fitness and cardiovascular risks among Chinese college students: an analysis of five successive national surveys between 2000 and 2019Research in context by Shan Cai, Yihang Zhang, Ziyue Chen, Yunfei Liu, Jiajia Dang, Jiaxin Li, Tianyu Huang, Ziyue Sun, Yanhui Dong, Jun Ma, Yi Song

    Published 2025-05-01
    “…Summary: Background: With increasing concerns about early-onset cardiovascular diseases, it is essential to understand the distribution of cardiovascular health among young adults. …”
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  14. 2174

    TWO STAGES OF THE CENOZOIC ALKALINE-BASALT VOLCANISM IN THE DARKHAD DEPRESSION (NORTHERN MONGOLIA) – GEOCHRONOLOGY, GEOCHEMISTRY, AND GEODYNAMIC CONSEQUENCES by S. S. Tsypukova, A. B. Perepelov, E. I. Demonterova, A. V. Ivanov, S. I. Dril, M. I. Kuzmin, A. V. Travin, Yu. D. Shcherbakov, M. Yu. Puzankov, S. V. Kanakin

    Published 2022-09-01
    “…The isotopic data showed that there are two stages distinguished in the Cenozoic history of the Darkhad depression volcanic activity, the Late Oligocene initial stage (~28.0–26.6 Ma) and the final Late Miocene – Early Pliocene stage (~5.8–4.2 Ma). …”
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  15. 2175

    An Assessment of TROPESS CrIS and TROPOMI CO Retrievals and Their Synergies for the 2020 Western U.S. Wildfires by Oscar A. Neyra-Nazarrett, Kazuyuki Miyazaki, Kevin W. Bowman, Pablo E. Saide

    Published 2025-05-01
    “…By combining data from both satellites as a ratio, more detailed information about the vertical location of the plumes can potentially be extracted. …”
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  16. 2176

    Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

    Published 2025-07-01
    “…Six machine learning models (RandomForest, GradientBoosting, SVM, KNN, Logistic Regression, and XGBoost) were trained using these patterns as labels to identify key factors influencing CMM patterns This study identified four CMM patterns: Hypertension Predominant Group (HPG, Pattern I), Uric Acid and Dyslipidemia Coexistence Group (UADCG, Pattern II), Multiple Diseases High Group (MDHG, Pattern III), and Kidney Disease Low Group (KDLG, Pattern IV) (Modularity = 0.748). …”
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  17. 2177

    Improvement of Technologies for Isolation and Purification of Biologically Active Substances from Plant Raw Materials by G. N. Turmanidze, V. V. Sorokin, K. S. Stepanov, M. A. Ignatenko

    Published 2023-12-01
    “…Flow distribution in extraction apparatuses was modeled using computational fluid dynamics methods. …”
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  18. 2178

    Global, Regional, and National Burden of Breast Cancer, 1990–2021, and Projections to 2050: A Systematic Analysis of the Global Burden of Disease Study 2021 by Tong Deng, Hao Zi, Xing‐Pei Guo, Li‐Sha Luo, Ya‐Long Yang, Jin‐Xuan Hou, Rui Zhou, Qian‐Qian Yuan, Qing Liu, Qiao Huang, Gao‐Song Wu

    Published 2025-05-01
    “…ABSTRACT Background This study analyzes the global burden of breast cancer (BC) over the past 30 years, identifies key risk factors, and projects future incidence and mortality through 2050. Methods Data were sourced from the 2021 Global Burden of Disease (GBD) database. …”
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    <p><strong>Analysis of the reproductive viability of <em>Varroa destructor</em> (Mesostigmata: Varroidae) rearing under laboratory conditions</strong></p> by Jesús Humberto Reyna-Fuentes, Cecilia Carmela Zapata Campos, Fabian Eliseo Olazarán Santibanez, José Octavio Merino Charrez, Daniel López Aguirre

    Published 2025-06-01
    “…This research aimed to evaluate the reproductive viability of V. destructor mites under laboratory conditions, using gelatin capsules with single and double infestation by bee pupae (5th instar). All data were analyzed using generalized linear mixed models implemented in Proc GLIMMIX using the binary distribution function with the default logit link function. …”
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