Kaska Adoteye

Works (3)

Updated: July 5th, 2023 15:41

2015 journal article

Estimation of time-varying mortality rates using continuous models for Daphnia magna

APPLIED MATHEMATICS LETTERS, 44, 12–16.

By: K. Adoteye n, H. Banks n, K. Flores n & G. LeBlanc n 

author keywords: Structured population model; Leslie matrix model; Sinko-Streifer model; Daphnia magna; Time-dependent mortality rate
TL;DR: It is found that a continuous differential equation model with a time-varying mortality rate was the most accurate model for describing the authors' experimental D. magna survival data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Statistical validation of structured population models for Daphnia magna

Mathematical Biosciences, 266, 73–84.

By: K. Adoteye n, H. Banks n, K. Cross n, S. Eytcheson  n, K. Flores n, G. LeBlanc n , T. Nguyen  n, C. Ross n ...

author keywords: Sensitivity analysis; Structured population model; Uncertainty quantification; Density-dependence; Multi-scale data; Daphnia magna
MeSH headings : Animals; Daphnia; Models, Statistical; Population Dynamics
TL;DR: This study develops structured population models that exemplify specific mechanisms and uses multi-scale experimental data in order to test their importance, and shows that fecundity and survival rates are affected by both time-varying density-independent factors and density-dependent factors. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: August 6, 2018

2014 journal article

Optimal design of non-equilibrium experiments for genetic network interrogation

APPLIED MATHEMATICS LETTERS, 40, 84–89.

By: K. Adoteye n, H. Banks n & K. Flores n

author keywords: Optimal experimental design; Inverse problem; Uncertainty analysis; Brome mosaic virus; Synthetic biology; Genetic networks
TL;DR: An optimal design algorithm is developed that calculates optimal observation times in conjunction with optimal experimental perturbations in order to maximize the amount of information gained from longitudinal data derived from such experiments. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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