Results 231 to 240 of about 19,694 (357)

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

Dynamics of Purification in Cu2O

open access: yesphysica status solidi (b), EarlyView.
Rydberg excitons in Cu2O have been shown to be highly efficient in neutralizing and screening charged impurities, which is referred to as purification. In this manuscript, the dynamics of the purification process are investigated under varying probe exciton‐ and plasma density. The transient absorption of Rydberg excitons is analyzed and five different
Binodbihari Panda   +3 more
wiley   +1 more source

Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Accelerated life tests (ALTs) are essential tools for estimating product reliability under high‐stress conditions, allowing failure data to be collected in reduced timeframes. However, planning effective ALT configurations is a complex task that requires selecting stress levels, test durations, and unit allocations while accounting for limited
Allan Jonathan da Silva   +3 more
wiley   +1 more source

Robust Control Design and Analysis Based on Lifting Linearization of Nonlinear Systems Under Uncertain Initial Conditions

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley   +1 more source

Hemoglobin receptor redundancy in <i>Staphylococcus aureus</i>: molecular flexibility as a determinant of divergent hemophore activity. [PDF]

open access: yesJ Struct Biol X
Buoli Comani V   +11 more
europepmc   +1 more source

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