Showing 861 - 880 results of 1,839 for search 'environmental statistics', query time: 0.08s Refine Results
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    An organic matter database (OMD): consolidating global residue data from agriculture, fisheries, forestry and related industries by G. Weldesemayat Sileshi, G. Weldesemayat Sileshi, E. Barrios, J. Lehmann, J. Lehmann, F. N. Tubiello

    Published 2025-02-01
    “…Inappropriate disposal and inefficient use of these resources contribute to greenhouse gas emissions and non-point pollution, placing significant environmental and economic burdens on society. Since many nations do not keep statistics on these materials, it has not been possible to accurately quantify the amounts produced, their competing uses and the quantities potentially available for recycling at a local level. …”
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  3. 863

    The impact of urban air pollution on human health by N. Komilova, K. Egamkulov, M. Hamroyev, K. Khalilova, D. Zaynutdinova

    Published 2023-09-01
    “…Official data from the State Committee of Uzbekistan on Statistics and scientific papers were utilized, alongside statistical analysis techniques and logical reasoning to investigate atmospheric air pollution and its impact on public health. …”
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    Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern by Mohd Sayeed Ul Hasan, Abhishek Kumar Rai, Abul Hasan Momin, Mohammad Amir Khan, Faisal M. Alfaisal, Shamshad Alam, Osamah J. Al-sareji, Ali Majdi

    Published 2025-01-01
    “…Abstract The land use transition plays an important role for terrestrial environmental services, which had a mixed impact of positive and negative on the groundwater and terrestrial water resource. …”
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    Health-Related Quality of Life and Associated Factors among Women on Antiretroviral Therapy in Health Facilities of Jimma Town, Southwest Ethiopia by Yetnayet Abebe Weldsilase, Melaku Haile Likka, Tolossa Wakayo, Mulusew Gerbaba

    Published 2018-01-01
    “…Quality of life was measured using WHOQOL-BREF tool. Descriptive statistics, bivariate, and multivariable logistic regression analyses were performed. …”
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    Genetic parameters of production and reproduction traits of Mediterranean buffaloes under tropical conditions by Iván A. Cárdenas, Miguel A. Chacón

    Published 2023-11-01
    “…The evaluated data comes from the genetic center “Hacienda Caño Negro” and corresponds to the productive and reproductive records from 2004 to 2021, inclusive. Descriptive statistics and analysis of variance were carried out for the mentioned characters. …”
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    SURVIVING HUMANITARIAN CRISIS IN NIGERIA: COPING STRATEGIES OF INTERNALLY DISPLACED PERSONS (IDP) IN BENUE STATE, NORTHCENTRAL, NIGERIA by ISAAC OLAWALE ALBERT, JOEL ABAH

    Published 2024-07-01
    “…Collected data were qualitatively analysed, using descriptive statistics. Findings reveal CSOs and State inadequacies in meeting the basic needs of the IDP; this have made the IDP to resort to street begging, petty stealing in and outside IDP camps; prostitution among aged women, adult ladies, teenagers and even children or minors; the study establishes that inadequate care to the IDP can lead to epidemics breakout, internal insecurity for the IDP and the community hosting them; thereby leading to environmental and community security threats. …”
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    Quantitative Structure–Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors by Ramanathan Natarajan, Ganapathy S. Natarajan, Subhash C. Basak

    Published 2025-01-01
    “…The linear regression using the principal component scores (PCSs) resulted in a three-predictor prediction model with good statistics: R<sup>2</sup> = 0.823; Adj R<sup>2</sup> = 0.790. …”
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    Bounded multivariate contaminated normal mixture model with applications to skin cancer detection by Abbas Mahdavi

    Published 2024-12-01
    “… Background & Aim: In real-world datasets, outliers are a common occurrence that can have a significant impact on the accuracy and reliability of statistical analyses. Detecting these outliers and developing robust models to handle their presence is a crucial challenge in data analysis. …”
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