Results 161 to 170 of about 419,601 (272)

GenAI Use Behavior and Post‐Failure Perceptions Among People With Functional Disabilities: A Multimethod Study

Psychology &Marketing, EarlyView.
ABSTRACT Based on two complementary studies, this paper explores how people with functional disabilities interact with generative artificial intelligence (GenAI). Study 1 used a genetic algorithm to identify key factors influencing GenAI use behavior. These factors were then tested using Bayesian linear regression.
Giovanna Bagnato, Felipe Ruiz‐Moreno, Fernando Campayo‐Sanchez, Attia Abdelkader Ali   +3 more
wiley   +1 more source

Analysis of Fatigue and Residual Strength Estimation of Polymer Matrix Composites Using the Theory of the Markov Chain Method. [PDF]

Materials (Basel)
Chatys R, Kłonica M, Blumbergs I.
europepmc   +1 more source

Seasonal influence on respiratory tract infection severity including COVID-19 quantified through Markov Chain modeling. [PDF]

CPT Pharmacometrics Syst Pharmacol, 2023
van Wijk RC, Mockeliunas L, Upton CM, Peter J, Diacon AH, Simonsson USH.   +5 more
europepmc   +1 more source

Some Theorems on Functionals of Markov Chains [PDF]

, 1964
Sidney C. Port
openalex   +1 more source

A Short Version of Carers' Quality of Life Questionnaire for Parkinsonism: Data from Progressive Supranuclear Palsy Network

Movement Disorders Clinical Practice, EarlyView.
Abstract Background and objectives Caregivers of progressive supranuclear palsy (PSP) patients frequently show significant distress. The Parkinsonism Carers quality of life (QoL) (PQoL Carer) is a valid tool evaluating the effect of PSP on caregivers' QoL.
Arianna Cappiello, Giovanna Calandra‐Buonaura, Roberto Ceravolo, Saverio Coralli, Sofia Cuoco, Eleonora del Prete, Francesca di Biasio, Daniela Frosini, Vittorio Gualtieri, Davide Mascioli, Luisa Sambati, Tommaso Schirinzi, Alessandro Stefani, Elisa Umbertini, Marco Aiello, Matteo Costanzo, Rosa de Micco, Giovanni Fabbrini, Gaetano Failla, Chiara Longo, Maria Chiara Malaguti, Nicola Modugno, Enrica Olivola, Noemi Maria Carola Russo, Alessandro Tessitore, Andrea Ciammola, Carlo Colosimo, Anna de Rosa, Laura de Togni, Alessio di Fonzo, Vincenzo Moschella, Andrea Pilotto, Francesca Spagnolo, Roberta Zangaglia, Paolo Barone, Marina Picillo, the PSP‐NET study group, Maria Autuori, Anna Rosa Avallone, Ilaria Cani, Giannicola Carozzo, Nicola Grotteschi, Maria Mancini, Clara Simonetta, Maria Francesca Tepedino, Henri Zenuni, Simone Aloisio, Ruggero Bacchin, Lorena Belli, Daniele Belvisi, Francesco Marchet, Sara Pietracupa, Sara Satolli, Maria Concetta Altavista, Marta Filidei, Giulia Lazzeri, Simone Malaspina, Alessando Padovani, Gabriele Riccio, Andrea Mirko Tedesco, Susanne Buechner, Laura Bonanni, Marianna Capecci, Maria Gabriella Ceravolo, Massimo Cincotta, Maria Francesca de Pandis, Raffaella di Giacopo, Lorenza Leonardi, Leonardo Lopiano, Fabrizio Stocchi, Laura Vacca, Sara Varanese, Maristella Piccininni, Maurizio Zibetti   +73 more
wiley   +1 more source

Enhancing Bidirectional Modbus TCP ↔ RTU Gateway Performance: A UDP Mechanism and Markov Chain Approach. [PDF]

Sensors (Basel)
Zhao S, Zhang Q, Zhao Q, Zhang X, Guo Y, Lu S, Song L, Zhao Z.   +7 more
europepmc   +1 more source

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. [PDF]

J Comput Graph Stat, 2023
Heng Q, Zhou H, Chi EC.
europepmc   +1 more source

Martin boundaries for certain Markov chains

, 1963
J. Lamperti, J. Laurie Snell
openalex   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Two fast algorithms for finding the solution of the lower Hessenberg quasi-Toeplitz linear system from Markov chain. [PDF]

Sci Rep
Fu Y, Jiang X, Zheng Y, Jiang Z.
europepmc   +1 more source