Results 41 to 50 of about 712,018 (278)
SEMI-MARKOV RELIABILITY MODELS
Advanced Information Systems, 2022 Traditional technologies for reliability analysis of semi-Markov systems are limited to obtaining a stationary state probability distribution. However, when solving practical control problems in such systems, the study of transient processes is of considerable interest.
Raskin, Lev +3 more
openaire +3 more sources
Modeling the progression of NAFLD: a multi-state Markov approach based on BMI classification in the Chinese population [PDF]
Exploration of Endocrine and Metabolic DiseasesAim: To investigate the natural history and progression of non-alcoholic fatty liver disease (NAFLD) in Chinese adults using a community-based longitudinal cohort. Methods: We analyzed data from 24,893 adults in the Beijing Health Management Cohort (2016–
Jianmin Tang +8 more
doaj +1 more source
International Journal of COPD, 2022 Enrico de Nigris,1 Catrin Treharne,2 Nick Brighton,2 Ulf Holmgren,3 Andrew Walker,4 John Haughney5 1Formerly of Global Product and Portfolio Strategy, AstraZeneca, Cambridge, UK; 2Formerly of Health Economic Modelling, Regulatory and Access, Parexel ...
de Nigris E +5 more
doaj
Current Directions in Biomedical Engineering, 2022 Amyotrophic lateral sclerosis is a progressive neuromuscular disease. Mechanical ventilation delays death and use at home can reduce costs and increase quality of life.
Gajdoš Ondřej +3 more
doaj +1 more source
Modeling stochastic gene expression: From Markov to non-Markov models
Mathematical Biosciences and Engineering, 2020 Gene expression is an inherently noisy process due to low copy numbers of mRNA or protein. The involved reaction events may happen in a Markov fashion but also in a non-Markov manner, depending on waiting-time distributions for the occurrence of reaction events.
Zhenquan Zhang +4 more
openaire +4 more sources
Volatility forecasting using Double-Markov switching GARCH models under skewed Student-t distribution [PDF]
, 2012 Includes bibliographical references.This thesis focuses on forecasting the volatility of daily returns using a double Markov switching GARCH model with a skewed Student-t error distribution.
Mazviona, Batsirai Winmore
core
Markov-switching generalized additive models
, 2015 We consider Markov-switching regression models, i.e. models for time series regression analyses where the functional relationship between covariates and response is subject to regime switching controlled by an unobservable Markov chain.
Glennie, Richard +3 more
core +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Cost-effectiveness analysis of influenza vaccination among the elderly in Qingdao city
Zhongguo gonggong weishengObjectiveTo evaluate the cost-effectiveness of different influenza vaccination rates among the elderly population aged 65 years and above in Qingdao city.
Jinru LI +6 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source