Results 261 to 270 of about 834,629 (316)

Modeling Dynamic Electrochemical Impedance Spectroscopy Using a Linearization Technique

ChemElectroChem, EarlyView.
This article investigates the modeling of dynamic electrochemical impedance spectroscopy. Using a linearization technique, three mathematical models are defined – dynamic, stationary, and filtered. The results show a closeness of the dynamic model to the experimental practice and significant effects of nonstationarity in the low‐frequency region.
Cécile Pot d'or, Richard Chukwu, Doriano Brogioli, Fabio La Mantia   +3 more
wiley   +1 more source

Decoding how higher-order network interactions shape contagion dynamics. [PDF]

J Math Biol
Kiss IZ, Bick C, Simon PL.
europepmc   +1 more source

Robust Heteroclinic Cycles in Pluridimensions. [PDF]

J Nonlinear Sci
Castro SBSD, Rucklidge AM.
europepmc   +1 more source

Introducing a mathematical workflow for scaling‐up the cyclic solvent injection process: Experimental studies and dimensional analysis utilizing Buckingham pi theorem

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Cyclic solvent injection (CSI) is an effective enhanced oil recovery (EOR) technique with several economic and environmental benefits. However, the successful implementation of CSI at commercial scales requires reliable scaling criteria. In this study, CSI has been formulated comprehensively by integrating material balance, mass transfer, and ...
Ali Cheperli, Farshid Torabi, Morteza Sabeti, Yousef Shafiei   +3 more
wiley   +1 more source

Fractional order modeling of prostate cancer with pulsed treatment and the impact of effector cell killing and cell competition. [PDF]

Sci Rep
Saber H, Albala H, Aljaaidi T, Jawarneh Y, Moumen A, Aldwoah K.   +5 more
europepmc   +1 more source

Note on Fixed-Point Theorem

Hiroshima Mathematical Journal, 1957
openaire   +3 more sources

Random discrete probability measures based on a negative binomial process

Canadian Journal of Statistics, EarlyView.
Abstract A distinctive functional of the Poisson point process is the negative binomial process for which the increments are not independent but are independent conditional on an underlying gamma variable. Using a new point process representation for the negative binomial process, we generalize the Poisson–Kingman distribution and its corresponding ...
Sadegh Chegini, Mahmoud Zarepour
wiley   +1 more source

Bootstrap Confidence Intervals for Multiple Change Points Based on Two-Stage Procedures. [PDF]

Entropy (Basel)
Hou L, Jin B, Wu Y, Wang F.
europepmc   +1 more source

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

Canadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

Fixed point results for ℑ-Contractions in JS-generalized metric spaces with an application. [PDF]

PLoS One
Iqbal B, Saleem N, Aphane M, Razzaque A.
europepmc   +1 more source