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Published in 2022 at "Journal of Clinical Pharmacology"
DOI: 10.1002/jcph.2144
Abstract: Phosphoramide mustard (PM) is the final cytotoxic metabolite formed from the parent compound cyclophosphamide through a complex metabolic pathway, primarily through hepatic metabolism. Little is known about the effect of renal elimination on the disposition… read more here.
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Published in 2020 at "Journal of Thermal Analysis and Calorimetry"
DOI: 10.1007/s10973-020-09574-2
Abstract: The aim of the study is to explore nonlinear mixed convection flow of nanomaterials (Prandtl–Eyring nanoliquid) with activation energy. Analysis of cross-diffusion (Soret and Dufour) impacts is addressed. Features of nanoliquid are analysed with thermophoresis… read more here.
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Published in 2019 at "TEST"
DOI: 10.1007/s11749-018-0612-4
Abstract: The multivariate t nonlinear mixed-effects model (MtNLMM) has been shown to be effective for analyzing multi-outcome longitudinal data following nonlinear growth patterns with fat-tailed noises or potential outliers. This paper considers the problem of clustering… read more here.
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Published in 2017 at "Forest Ecology and Management"
DOI: 10.1016/j.foreco.2016.09.012
Abstract: Abstract Tree height to crown base (HCB) is an important variable commonly included as one of the predictors in growth and yield models that are the decision-support tools in forest management. In this study, we… read more here.
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Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.394
Abstract: Abstract Nonlinear mixed effects (NLME) modeling is a powerful tool to analyze time-series data from several individual entities in an experiment. In this paper, we give a brief overview of a package for NLME modeling… read more here.
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Published in 2022 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2022.2119360
Abstract: Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model… read more here.
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Published in 2022 at "Journal of Biological Dynamics"
DOI: 10.1080/17513758.2022.2061615
Abstract: In this study we compare seven mathematical models of tumour growth using nonlinear mixed-effects which allows for a simultaneous fitting of multiple data and an estimation of both mean behaviour and variability. This is performed… read more here.
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Published in 2019 at "Journal of Avian Biology"
DOI: 10.1111/jav.01864
Abstract: Postnatal growth is an important life‐history trait that varies widely across avian species, and several equations with a sigmoidal shape have been used to model it. Classical three‐parameter models have an inflection point fixed at… read more here.
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Published in 2021 at "Journal of Mathematics"
DOI: 10.1155/2021/6692592
Abstract: In this paper, by means of a fixed point theorem for monotone decreasing operators on a cone, we discuss the existence of positive solutions for boundary value problems of nonlinear fractional singular differential equation. The… read more here.
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Published in 2022 at "eNeuro"
DOI: 10.1523/eneuro.0517-21.2022
Abstract: Abstract Neurons in the dorsolateral prefrontal cortex (dlPFC) and posterior parietal cortex (PPC) are activated by different cognitive tasks and respond differently to the same stimuli depending on task. The conjunctive representations of multiple tasks… read more here.
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Published in 2019 at "Floresta e Ambiente"
DOI: 10.1590/2179-8087.032917
Abstract: The objective of this study was to assess the prediction of partial volumes with nonlinear mixed modeling for Pinus taeda. The volume of 558 trees was measured. The four-parameter logistic model was used in its… read more here.