Results 21 to 30 of about 2,175,866 (311)
Simulating Maize Response to Split-Nitrogen Fertilization Using Easy-to-Collect Local Features
Nitrogen, 2023 Maize (Zea mays) is a high-nitrogen (N)-demanding crop potentially contributing to nitrate contamination and emissions of nitrous oxide. The N fertilization is generally split between sowing time and the V6 stage.
Léon Etienne Parent +1 more
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Mixed-effect model output (outcome = BAP skills).
, 2022 Mixed-effect model output (outcome = BAP skills).
Marie-Christine Hallé (5740112) +11 more
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Sensors, 2023 The present study aimed to analyse the performance of the Spanish men’s top (LaLiga1) and second (LaLiga2) professional football division teams for eight consecutive seasons (from 2011–2012 to 2018–2019).
Ibai Errekagorri +3 more
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Proceedings of the National Academy of Sciences, 2003 Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
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Mixed-Domain Modeling in Modelica [PDF]
, 2006 Modelica is a language for convenient, component oriented modeling of physical systems. In this article, an overview of the language, available libraries, the Dymola simulator and some industrial applications is given. Additionally, a comparison of Modelica with VHDL-AMS is presented.
Clauss, Christoph +4 more
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Thomas Kneib +3 more
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, 2020 Information technology provides a new medium and means for the development of education, and promotes the new transformation of educational ideas and methods. The two constantly merge in the process of running-in, forming a new educational situation. The
YANG, Shisheng
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Simple reparameterization to improve convergence in linear mixed models
Acta Agriculturae Slovenica, 2010 Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and ...
Gregor GORJANC +3 more
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Selection and Fitting of Mixed Models in Sugarcane Yield Trials
Agriculture, 2022 Mixed models are a useful tool for the analysis of sugarcane field trials in which sugarcane varieties are allocated in different locations and phenotypic traits are evaluated in the same experimental unit (plot) over time. One challenge to analyze these
Josafhat Salinas-Ruíz +3 more
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Models of neutrino masses and mixings
New Journal of Physics, 2004 We review theoretical ideas, problems and implications of neutrino masses and mixing angles. We give a general discussion of schemes with three light neutrinos. Several specific examples are analyzed in some detail, particularly those that can be embedded into grand unified theories.
FERUGLIO, FERRUCCIO, G. ALTARELLI
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