Results 41 to 50 of about 2,627,626 (274)
Zanco Journal of Humanity SciencesHypertension is a common and serious disease, and for this reason, a sample of patients was chosen from Azadi Teaching Hospital in Duhok. In this study a comparison was made between Ordinary Least Squares (OLS) with two robust methods Least Trimmed ...
Ismat Mousa Ibrahim
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Heterotropic regulation and negative homotropic cooperativity
FEBS Open Bio, EarlyView.We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea +5 more
wiley +1 more source
On the application of nature-inspired grey wolf optimizer algorithm in geodesy
Journal of Geodetic Science, 2020 Nowadays, solving hard optimization problems using metaheuristic algorithms has attracted bountiful attention. Generally, these algorithms are inspired by natural metaphors.
Yetkin M., Bilginer O.
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IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo
FEBS Open Bio, EarlyView.To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
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Remote Sensing, 2020 Three-dimensional light detection and ranging (LiDAR) point clouds acquired from unmanned aerial vehicles (UAVs) represent a relatively new type of remotely sensed data.
Karel Kuželka +2 more
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Least Trimmed Squares: Cointegration and Outliers
Oxford Bulletin of Economics and StatisticsABSTRACT When applying the cointegrated autoregressive distributed lag model it is common to include indicator variables for outliers. This is often done in a somewhat ad hoc way. Least Trimmed Squares estimation provides a more systematic approach. This estimator is robust to a large number of outliers of many types.
Berenguer-Rico, V, Nielsen, B
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Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
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Revstat Statistical Journal, 2007 We consider the problem of identifying multiple outliers in linear regression models. We propose a penalized trimmed squares (PTS) estimator, where penalty costs for discarding outliers are inserted into the loss function.
G. Zioutas +2 more
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Asymptotics of Least Trimmed Squares Regression [PDF]
, 2005 High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables. The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness point of view) high breakdown-point estimators.
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Iterative Least Trimmed Squares for Mixed Linear Regression
CoRR, 2019 Accepted by NeurIPS ...
Yanyao Shen, Sujay Sanghavi
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