Results 51 to 60 of about 5,928 (266)
Clinical Pharmacology &Therapeutics, EarlyView.Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
wiley +1 more source
Contributions to Plasma Physics, EarlyView.ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source
Wide sense one-dependent processes with embedded Harris chains and their applications in inventory management [PDF]
In this paper we consider stochastic processes with an embedded Harris chain. The embedded Harris chain describes the dependence structure of the stochastic process.
Bazsa, E.M., Iseger, P. den
core
Generative Models in Inorganic Crystals Discovery and Inverse Design
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
Second Order Optimality in Markov and Semi-Markov Decision Processes
, 2019 Semi-Markov decision processes can be considered as an extension of discrete- and continuous-time Markov reward models. Unfortunately, traditional optimality criteria as long-run average reward per time may be quite insufficient to characterize the ...
Sladký, Karel
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International Journal of Cancer, EarlyView.ABSTRACT Esophageal adenocarcinoma (EAC) exhibits marked male predominance with male‐to‐female ratios reaching 8.5:1, yet the molecular basis underlying this sex disparity remains poorly characterized. We analyzed 92 EAC specimens using mass spectrometry–based proteomics, comprising 47 female and 45 male tumors from treatment‐naïve patients ...
Alexander Quaas +8 more
wiley +1 more source
SEMI-MARKOV DECISION PROCESSES AND THEIR APPLICATIONS IN REPLACEMENT MODELS
Journal of the Operations Research Society of Japan, 1985 We consider the problem of minimizing the long-run average expected cost per unit time in a semi-Markov decision process with arbitrary state and action space. Using the idea of successive approximations, sufficient conditions for the existence of an optimal stationary policy are given.
openaire +3 more sources
International Journal of Cancer, EarlyView.ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini +3 more
wiley +1 more source
Optimal Risk Sensitive Control of Semi-Markov Decision Processes [PDF]
, 2000 In this thesis, we study risk-sensitive cost minimization in semi-Markov decision processes. The main thrust of the thesis concerns the minimization of average risk sensitive costs over the infinite horizon. Existing theory is expanded in two directions:
Chawla, Jay P.
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