Results 21 to 30 of about 21,580,954 (367)
Cost-efficacy analysis of hormonal treatments for advanced prostate cancer
Farmeconomia: Health Economics and Therapeutic Pathways, 2008 Introduction: prostatic cancer is the second more frequent cancer in Italy (after lung cancer) and is the third cancer-related death cause. Age is the principal risk factor and, given the ageing process undergoing in the Italian population, it seems ...
Sergio Iannazzo, Lorenzo Pradelli
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Markov-Switching MIDAS Models [PDF]
Journal of Business & Economic Statistics, 2013 This article introduces a new regression model—Markov-switching mixed data sampling (MS-MIDAS)—that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models.
MARCELLINO, MASSIMILIANO, P. Guerin
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Identification of slow molecular order parameters for Markov model construction. [PDF]
Journal of Chemical Physics, 2013 A goal in the kinetic characterization of a macromolecular system is the description of its slow relaxation processes via (i) identification of the structural changes involved in these processes and (ii) estimation of the rates or timescales at which ...
G. Pérez-Hernández +4 more
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Exploratory search during directed navigation in C. elegans and Drosophila larva
eLife, 2017 Many organisms—from bacteria to nematodes to insect larvae—navigate their environments by biasing random movements. In these organisms, navigation in isotropic environments can be characterized as an essentially diffusive and undirected process.
Mason Klein +5 more
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Markov Model of Cyber Attack Life Cycle Triggered by Software Vulnerability [PDF]
International Journal of Electronics and Telecommunications, 2021 Software vulnerability life cycles illustrate changes in detection processes of software vulnerabilities during using computer systems. Unfortunately, the detection can be made by cyber-adversaries and a discovered software vulnerability may be ...
Romuald Hoffmann
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A Novel Method for Decoding Any High-Order Hidden Markov Model
Discrete Dynamics in Nature and Society, 2014 This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar’s transformation. Next, the optimal state sequence of
Fei Ye, Yifei Wang
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Markov models for accumulating mutations [PDF]
Biometrika, 2009 Biometrika, 96 (3)
Beerenwinkel, N., Sullivant, S.
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Cost–effectiveness of overactive bladder treatments from a US commercial and payer perspective
Journal of Comparative Effectiveness Research, 2023 Aim: The cost–effectiveness of treatment options (anticholinergics, β3-adrenoceptor agonists, onabotulinumtoxinA, sacral nerve stimulation and percutaneous tibial stimulation [the latter two including new rechargeable neurostimulators]) for the ...
Brian Murray +8 more
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American Journal of Botany, Volume 109, Issue 12, Page 2068-2081, December 2022., 2022 Abstract Premise Approximately 14% of all fern species have physiologically active chlorophyllous spores that are much more short‐lived than the more common and dormant achlorophyllous spores. Most chlorophyllous‐spored species (70%) are epiphytes and account for almost 37% of all epiphytic ferns.
Daniela Mellado‐Mansilla +6 more
wiley +1 more source
Gene prediction with a hidden Markov model and a new intron submodel
European Conference on Computational Biology, 2003 MOTIVATION The problem of finding the genes in eukaryotic DNA sequences by computational methods is still not satisfactorily solved. Gene finding programs have achieved relatively high accuracy on short genomic sequences but do not perform well on longer
M. Stanke, S. Waack
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