Showing 2,101 - 2,120 results of 19,981 for search 'Taoist~', query time: 1.97s Refine Results
  1. 2101

    Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM) by Ani Apriani, Nono Carsono, Mas Dadang Enjat Munajat

    Published 2024-04-01
    “…Secondary data from the Department of Food Crops and Horticulture, and the Central Statistics Agency (BPS) of Bogor Regency were utilized. …”
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  2. 2102

    RISK MANAGEMENT ANALYSIS IN SPALD-T PROJECTS by Nining Ardiyanti Hasan, Acep Hidayat, Mawardi Amin

    Published 2025-01-01
    “…Meanwhile, technical risk shows a positive trend but is not statistically significant, with a regression coefficient of 0.104 and a p-value of 0.078. …”
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  3. 2103

    Biochemical and microbiological investigations of subclinical mastitis in cows by Mehmet NİZAMLIOĞLU, Tevfik TEKELİ, Osman ERGANİŞ, Nuri BAŞPINAR

    “…<p> In the subclinical mastitic cows, milk LDH, ALP, Na ve K values were found statistically significant. Furthermore, the counting of the PMN increased significantly. …”
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  4. 2104

    COMPARATIVE STUDY OF TIME ECHO VARIATIONS IN THE METABOLITE VALUES MR BRAIN SPECTROSCOPY by Revina Dewi Susanto, Ayu Yuliana F., Eunike Serfina F., Celine Catharina R., Merry Amnesti, Siti Masrochah, Lina Choridah

    Published 2024-07-01
    “…The required data in this study is the value of each head spectroscopy metabolism: N-Acetyl Aspartate (NAA), Choline (Cho), Creatine (Cr), Myo-Inositol (MI), Lipids Lactate (LL). All statistical tests used the SPSS v.26 application. Result: Based on Paired T test results, NAA, Cho, Cr, and MI metabolites have p-values that account for 0.779 > 0.05; 0.179 > 0.05; 0.581 > 0.05; and 0.057 > 0.05. …”
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  5. 2105

    Multivariate Analysis under Indeterminacy: An Application to Chemical Content Data by Muhammad Aslam, Osama H. Arif

    Published 2020-01-01
    “…The existing statistic under classical statistics is applied when observations in multivariate data are determined, precise, and exact. …”
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  6. 2106

    The W/S Test for Data Having Neutrosophic Numbers: An Application to USA Village Population by Mohammed Albassam, Nasrullah Khan, Muhammad Aslam

    Published 2020-01-01
    “…The W/S test under neutrosophic statistics is proposed in this paper. The Monte Carlo simulation under the neutrosophic statistical interval method is proposed and applied to study the sensitivity of various neutrosophic statistical distributions. …”
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  7. 2107
  8. 2108
  9. 2109

    Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm by Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza

    Published 2025-01-01
    “…To overcome this difficulty, in this study, we take an attempt to impute using statistical multiple linear regression and Huber regression (HR) methods using four blended datasets (Statlog, Cleveland, Hungarian, and Switzerland) sourced from the UCI ML repository. …”
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  10. 2110

    Recent developments in the Canadian economy: Fall 2024 by Guy Gellatly, Carter McCormack

    Published 2024-10-01
    “…Presentations on selected topics, including recent trends related to inflation, growth, productivity and household debt, are available at A Presentation Series from Statistics Canada about the Economy, Environment and Society (Statistics Canada n.d.). …”
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  11. 2111
  12. 2112
  13. 2113
  14. 2114
  15. 2115

    Correlated Proportions Test under Indeterminacy by Abdullah M. Almarashi, Muhammad Aslam

    Published 2021-01-01
    “…The existing Z-test for correlated proportions under classical statistics is applied when observations in the data are exact and precise. …”
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  16. 2116

    Properties and Applications of Neutrosophic Burr XII Distribution by Laila A. Al-Essa, Farrukh Jamal, Shakaiba Shafiq, Sadaf Khan, Qamer Abbas, Rehan Ahmad Khan Sherwani, Muhammad Aslam

    Published 2025-01-01
    “…The primary objective is to study the statistical properties of the proposed model by providing explicit expressions of reliability properties, the expression of moments and generating function, expression of order statistics, mean residual life, mean inactivity time, stochastic ordering, income inequality measures, and entropy in neutrosophic realm. …”
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  17. 2117

    Efek Suplementasi Selenium terhadap Marker Darah Pasca Cedera Kontusio by Mariel Daba, Hanna Goenawan, Vita Murniati Tarawan, Aziis Mardanarian Rosdianto, Ronny Lesmana

    Published 2021-09-01
    “…The result of blood marker examination tended to change, but it was not statistically significant. Conclusion: Selenium supplementation in post-contusive injury mice did not provide significant changes in blood markers such as WBC, lymphocytes, monocytes, and neutrophils. …”
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  18. 2118

    Validity and reliability test of NIHSS-SDKI and CNS-SDKI in determining actual nursing diagnosis and severity of stroke patients by Erlis Eka Fitriana, Haryanto Haryanto, Supriyadi Supriyadi

    Published 2024-12-01
    “…Data were analyzed using Pearson Correlation with SPSS statistical tools. Results: Based on the results of the validity and reliability tests, it was found that the NIHSS-SDKI and CNS-SDKI had a calculated r value> from the r table and Cronbach alpha value> 0.7 so that the NIHSS and CNS instruments were declared valid and reliable. …”
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  19. 2119

    The Influence of Heavy Metals and Trace Elements on Comatose Patients with Severe Traumatic Brain Injury in the First Week of Admission by Bahia Belatar, Abdallah Elabidi, Malika Barkiyou, Mamoun El Faroudi, Rachid Eljaoudi, Laila Lahlou, Saad Kabbaj, Wajdi Maazouzi

    Published 2018-01-01
    “…However, the difference of some trace elements concentration (iron, copper, chromium, and selenium) between patients and healthy subjects was statistically significant. According to the final evolution, the concentration of manganese was higher in dead patients and statistically significant (p = 0.04) for heavy metals; the concentration of lead was not statistically significant while the concentration in cadmium was statistically significant (p = 0.004). …”
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  20. 2120

    Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

    Published 2025-01-01
    “…Subsequently, the partial dependence plot(PDP) method and SHapley Additive exPlanations (SHAP) were utilized to explain the roles of important variables in the model to filter out the optimal indicators for constructing the MASLD risk model.ResultsRanking the feature importance of the Random Forest (RF) model and eXtreme Gradient Boosting (XGBoost) model constructed using all variables found that both homeostasis model assessment of insulin resistance (HOMA-IR) and triglyceride glucose-waist circumference (TyG-WC) were the first and second most important variables. …”
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