Results 31 to 40 of about 105,979 (259)

Machine Learning Predictions of Transition Probabilities in Atomic Spectra

Atoms, 2021
Forward modeling of optical spectra with absolute radiometric intensities requires knowledge of the individual transition probabilities for every transition in the spectrum.
Joshua J. Michalenko, Christopher M. Murzyn, Joshua D. Zollweg, Lydia Wermer, Alan J. Van Omen, Michael D. Clemenson   +5 more
doaj   +1 more source

Synaptic encoding of temporal contiguity

Frontiers in Computational Neuroscience, 2013
Often we need to perform tasks in an environment that changes stochastically. In these situations it is important to learn the statistics of sequences of events in order to predict the future and the outcome of our actions. The statistical description of
Srdjan eOstojic, Srdjan eOstojic, Stefano eFusi   +2 more
doaj   +1 more source

Using informative prior based on expert opinion in Bayesian estimation of the transition probability matrix in Markov modelling—an example from the cost-effectiveness analysis of the treatment of patients with predominantly negative symptoms of schizophrenia with cariprazine

Cost Effectiveness and Resource Allocation, 2020
Background When patient health state transition evidence is missing from clinical literature, analysts are inclined to make simple assumptions to complete the transition matrices within a health economic model.
Zoltán Vokó, István Bitter, Beatrix Mersich, János Réthelyi, Anett Molnár, János G. Pitter, Árpád Götze, Margit Horváth, Kristóf Kóczián, Laura Fonticoli, Filippo Lelli, Bertalan Németh   +11 more
doaj   +1 more source

Atomic Transition Probabilities for Transitions of Si i and Si ii and the Silicon Abundances of Several Very Metal-poor Stars

The Astrophysical Journal Supplement Series, 2023
We report new measurements of branching fractions for 20 UV and blue lines in the spectrum of neutral silicon (Si i ) originating in the 3 s ^2 3 p 4 s ^3 P ^o _1,2 , ^1 P ^o _1 , and 3 s 3 p ^3 ^1 D ^o _1,2 upper levels. Transitions studied include both
E. A. Den Hartog, J. E. Lawler, C. Sneden, I. U. Roederer, J. J. Cowan   +4 more
doaj   +1 more source

A stochastic assessment of monthly rainfall pattern: a case of Owerri, Nigeria

Research in Statistics
This study addresses a critical gap in agro-meteorological planning: the absence of reliable probabilistic models for predicting monthly rainfall regimes. Specifically, we aim to quantify the long-term distribution of dry, wet, and rainy months in Owerri,
Angel F. Ohaegbulem, Felix N. Nwobi
doaj   +1 more source

High-Energy Neutrino Flavor State Transition Probabilities

Applied Sciences
We analytically determine neutrino transitional probabilities and abundance ratios at various distances from the source of creation in several astrophysical contexts, including the Sun, supernovae and cosmic rays.
John Harrison, Richard Anantua
doaj   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

Adaptive estimation of HMM transition probabilities

, 1998
This paper presents new schemes for recursive estimation of the state transition probabilities for hidden Markov models (HMM's) via extended least squares (ELS) and recursive state prediction error (RSPE) methods.
Moore, John B., Ford, Jason J.
core   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

Transition probabilities.

, 2020
Transition probabilities.
Benjamin Birkner (8212203), Jürgen Rech (3741517), Tom Stargardt (5064095)   +2 more
core   +1 more source