Results 21 to 30 of about 1,303,019 (294)
PLoS Biology, 2012 Erythropoietin (Epo)-induced Stat5 phosphorylation (p-Stat5) is essential for both basal erythropoiesis and for its acceleration during hypoxic stress. A key challenge lies in understanding how Stat5 signaling elicits distinct functions during basal and ...
Ermelinda Porpiglia +4 more
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D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
Mathematics, 2023 D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
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Annealing Response of a Cold-Rolled Binary Al–10Mg Alloy
Metals, 2019 The effect of annealing temperature on microstructure and mechanical properties of a cold-rolled Al−10Mg alloy has been investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), electron backscatter diffraction (EBSD) and tensile
Lei Feng +3 more
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RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach
Mathematics, 2021 A boosting-based machine learning algorithm is presented to model a binary response with large imbalance, i.e., a rare event. The new method (i) reduces the prediction error of the rare class, and (ii) approximates an econometric model that allows ...
Jessica Pesantez-Narvaez +2 more
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Physiological dynamics as indicators of plant response to manganese binary effect
Frontiers in Plant Science, 2023 IntroductionHeavy metals negatively affect plant physiology. However, plants can reduce their toxicity through physiological responses. Broussonetia papyrifera is a suitable candidate tree for carrying out the phytoremediation of manganese (Mn ...
Xu Zhenggang +7 more
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Binary Descriptor for Images Based on Adaboost [PDF]
Jisuanji gongcheng, 2016 Classic descriptors such as Scale Invariant Feature Transform(SIFT) and Speeded up Robust Feature(SURF) have some drawbacks in storage capacity and parameter adaptive learning,so a binary descriptor for images based on Adaboost is proposed,which can ...
LU Lai,WANG Junmin,FAN Rui
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VaR calculation by binary response models
Data Science in Finance and EconomicsThe original Risk-Metrics method is underpinned by the assumption that daily asset returns are conditional Gaussian independently identically distributed (iid) random variables with a mean of zero.
Kasra Pourkermani
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The use of continuous data versus binary data in MTC models: A case study in rheumatoid arthritis
BMC Medical Research Methodology, 2012 Background Estimates of relative efficacy between alternative treatments are crucial for decision making in health care. When sufficient head to head evidence is not available Bayesian mixed treatment comparison models provide a powerful methodology to ...
Schmitz Susanne +2 more
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Accretion of a satellite onto a spherical galaxy. II. Binary evolution and orbital decay [PDF]
, 1997 We study the dynamical evolution of a satellite orbiting outside of a companion spherical galaxy. The satellite is subject to a back-reaction force resulting from the density fluctuations excited in the primary stellar system.
Bontekoe Tj. R. +13 more
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Journal of Human Environmental Studies, 2023 This article proposes a binary Yes/No decision method to measure Stroop and Reverse-Stroop interferences. In the proposition, participants judge whether one given color name (or one given color patch) is consistent or inconsistent with the color (or the ...
Kazuho Fukuda, Kenta Toda
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