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Showing 1,021 - 1,040 results of 4,663 for search 'variable value timing', query time: 0.27s Refine Results
  1. 1021
  2. 1022

    Análise espacial das condições térmicas do ambiente pré-ordenha de bovinos leiteiros sob regimes de climatização Spatial analysis of thermal conditions of the pre-milking dairy cat... by Irenilson M. da Silva, Heliton Pandorfi, Gledson L. P. de Almeida, Cristiane Guiselini, Anildo M. Caldas, Arthur L. Jacob

    Published 2012-08-01
    “…<br>The objective of this study was to characterize the spatial variability of air temperature in pre-milking room for different operation times of the automated adiabatic evaporative cooling system. …”
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    Article
  3. 1023
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  8. 1028

    Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

    Published 2025-05-01
    “…During external validation, the model achieved a sensitivity of 0.8600, specificity of 0.9056, positive predictive value of 0.8698, and negative predictive value of 0.8686, underscoring its accuracy across diverse patient cohorts. …”
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    Article
  9. 1029

    Uncertainty Analysis of the Effect of Modulus of Elasticity on Seismic Performance of Concrete Quay Wall by Mehdi Kouchaki, Majid Pasbani Khiavi, Mortaza Ali Ghorbani

    Published 2021-09-01
    “…The model is analyzed in time domain by applying the horizontal and vertical components of El Centro earthquake. …”
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    Article
  10. 1030
  11. 1031

    Analysis of Parameter Roasting on Color and Peanuts Roasted Taste by Silvi Ari Yanti, Chandrasa Soekardi, M. Sobron Yamin Lubis

    Published 2018-08-01
    “…It can be concluded that the temperature 95oC is the optimal roasting temperature; the optimal rotation speed is 40 RPM and 25 minutes for each roasting time. With the variable values mentioned, roasted bean products contain a fairly good taste, good moisture and good colour.…”
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    Article
  12. 1032

    Predictors of Longitudinal Viral Load count and Survival Time to Death Among Adult TB/HIV Coinfected Patients Treated at Two Selected Amhara Region Comprehensive Specialized Hospit... by Nurye Seid Muhie, Abdela Assefa Bekele, Awoke Seyoum Tegegne

    Published 2025-06-01
    “…Random intercept and slope model for the longitudinal viral load count Cox PH model for time to death were selected based on AIC and BIC values. …”
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    Article
  13. 1033

    High precision, high time-cadence measurements of the MgII index of solar activity by the GOES-R Extreme Ultraviolet Irradiance Sensor 2: EUVS-C initial flight performance by McClintock William E., Snow Martin, Eden Thomas D., Eparvier Francis G., Machol Janet L., Woodraska Donald L.

    Published 2025-01-01
    “…In 2005, Snow & McClintock used 0.1 nm resolution data to show that the intrinsic solar variability in the index (as opposed to instrument noise) is on the order of 0.2% on time scales of 5–10 min. …”
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    Article
  14. 1034

    Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation by D. Gilboa, Akhil Garg, M. Shapiro, M. Meseguer, Y. Amar, N. Lustgarten, N. Desai, T. Shavit, V. Silva, A. Papatheodorou, A. Chatziparasidou, S. Angras, J. H. Lee, L. Thiel, C. L. Curchoe, Y. Tauber, D. S. Seidman

    Published 2025-01-01
    “…Abstract Background Artificial intelligence (AI) models analyzing embryo time-lapse images have been developed to predict the likelihood of pregnancy following in vitro fertilization (IVF). …”
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    p < 0,05, ¿Criterio mágico para resolver cualquier problema o leyenda urbana? by Pedro Monterrey Gutiérrez

    Published 2012-08-01
    “…This issue is analyzed in this paper on the basis of the fundamentals of the statisticalmethodology and the different approaches that have been historically developed to solve the problem of statistical hypothesis analysishighlighting a not well known point: the P value is a random variable. The fundamentals of Fisher´s, Neyman-Pearson´s and Bayesian´s solutions are analyzed and based on them, the inconsistency of the commonly used procedure of determining a p value, compare it to a type I error value (usually 0.05) and get a conclusion is discussed and, on their basis, inconsistencies of the data analysis procedure are identified, procedure consisting in the identification of a P value, the comparison of the P-value with a type-I error value –which is usually considered to be 0.05– and upon this the decision on the conclusions of the analysis. …”
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    Article
  17. 1037

    Memoryscapes of the Great War (1914-1918): A paradigm shift in tourism research on war heritage by Myriam Jansen-Verbeke, Wanda George

    Published 2015-11-01
    “…The inclusion in the survey of a number of open questions regarding values, experiences, memories from over 2,400 respondents (61 countries) resulted in a huge database, which allows the identification of some relevant variables in the ongoing tourismification process of former war landscapes. …”
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    Article
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    Redefining luxury: exploring the natural connection with sustainability beyond labels by Nermain Al-Issa

    Published 2024-12-01
    “…For the first time, it reveals how consumers innately link sustainability to luxury values across different cultures. …”
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