Results 231 to 240 of about 490,742 (319)

Coupled Clustering in Hierarchical Matrices for the Oseen Problem

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley   +1 more source

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag   +2 more
wiley   +1 more source

Ceralasertib, an ATR kinase inhibitor, as monotherapy in Japanese patients with advanced solid malignancies: Results from a phase 1 study. [PDF]

open access: yesInvest New Drugs
Kuboki Y   +15 more
europepmc   +1 more source

No relevant pharmacokinetic interaction between the KRAS G12C inhibitor sotorasib and the direct oral anticoagulant rivaroxaban in healthy subjects

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Venous thromboembolism (VTE) is common in cancer patients, with direct oral anticoagulants, including rivaroxaban, recommended as first‐line therapy. However, oral anticoagulant use is limited due to the growing use of targeted therapy and concerns about drug‐drug interactions.
Esther M. Hollander   +7 more
wiley   +1 more source

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