# Search results

Applied and Computational Harmonic Analysis > 2015 > 39 > 2 > 347-356

BioSystems > 2015 > 129 > Complete > 1-18

Engineering Applications of Artificial Intelligence > 2015 > 38 > Complete > 24-33

Mathematical Methods in the Applied Sciences > 47 > 12 > 9987 - 9999

Statistics in Medicine > 43 > 9 > 1826 - 1848

*QuantDiffForecast*, and associated tutorial to estimate parameters...

Mathematical Methods in the Applied Sciences > 47 > 7 > 5376 - 5391

Natural Resource Modeling > 37 > 1 > n/a - n/a

The FEBS Journal > 290 > 22 > 5270 - 5291

Studies in Applied Mathematics > 151 > 3 > 923 - 956

*M*‐th order linear differential operator, $M\ge 2$,where ${\rho}_{M}$ is a monic complex polynomial such that $\phantom{\rule{0ex}{0ex}}\text{deg}\left[{\rho}_{M}\right]=M$ and ${\left({\rho}_{k}\right)}_{k=0}^{M-1}$ are complex polynomials such that $\phantom{\rule{0ex}{0ex}}\text{deg}\left[{\rho}_{k}\right]\le k,0\le k\le M-1$. It is known that the zero counting measure of its eigenpolynomials converges in the...

Biometrics > 79 > 3 > 2525 - 2536

Mathematical Methods in the Applied Sciences > 46 > 12 > 13205 - 13225

Mathematica Applicanda > 2022 > Vol. 50, no. 2 > 303--318

Mathematical Methods in the Applied Sciences > 46 > 2 > 1429 - 1442

Mathematical Methods in the Applied Sciences > 46 > 1 > 1282 - 1294

Mathematical Methods in the Applied Sciences > 45 > 10 > 6481 - 6494

Canadian Journal of Statistics > 50 > 2 > 395 - 416

Mathematical Methods in the Applied Sciences > 45 > 9 > 5573 - 5591

Mathematical Methods in the Applied Sciences > 45 > 8 > 4161 - 4184

Mathematical Methods in the Applied Sciences > 45 > 5 > 2852 - 2870

^{+}T cells mediated regression of the tumor, that is, tumor cells, CD4

^{+}T cells, anti‐tumor cytokines, CTLA‐4 molecules, and normal cells. Our study reveals that host cells together with cytokines are key features in driving tumor dynamics. The malignant tumor can...

British Journal of Mathematical and Statistical Psychology > 75 > 1 > 88 - 115