Research Output per year
Fingerprint Dive into the research topics where CLAS-NS: Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Students
Engineering & Materials Science
Model
Mathematics
Infection
Mathematics
Allee Effect
Mathematics
Teaching
Engineering & Materials Science
Population
Medicine & Life Sciences
Disease Outbreaks
Medicine & Life Sciences
Ecosystem
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
John Anderies
- GIOS: Sustainability Initiative - Sustainability Scientist
- GIOS: Sustainability, School of
- CLAS-NS: Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC)
- EVPP: Social Dynamics and Complexity, Center for (CSDC)
- CLAS-NS: Life Sciences, School of (SOLS)
- Sustainability, Julie Ann Wrigley Global Institute of (GIOS)
- EVPP: Behavior, Institutions and the Environment, Center for (CBIE)
- EVPP: Biosocial Complex Systems, ASU SFI Center for
- Liberal Arts and Sciences, College of (CLAS)
- CLAS-SS: Human Evolution and Social Change, School of (SHESC)
- CLAS-SS: Bioarchaelogical Research, Center for (CBR)
Person
Research Output 1984 2019
A Mathematical Analysis of Aerobic Glycolysis Triggered by Glucose Uptake in Cones
Camacho, E., Brager, D., Elachouri, G., Korneyeva, T., Millet-Puel, G., Sahel, J. A. & Léveillard, T., Dec 1 2019, In : Scientific reports. 9, 1, 4162.Research output: Contribution to journal › Article
Open Access
Vertebrate Photoreceptor Cells
Glycolysis
Glucose
Retinal Cone Photoreceptor Cells
Carbon Cycle
Approximation methods for analyzing multiscale stochastic vector-borne epidemic models
Liu, X., Mubayi, A., Reinhold, D. & Zhu, L., Mar 1 2019, In : Mathematical Biosciences. 309, p. 42-65 24 p.Research output: Contribution to journal › Article
Disease Vectors
Epidemic Model
Approximation Methods
vector-borne diseases
disease models
A qualitative analysis of ubiquitous regulatory motifs in Saccharomyces cerevisiae genetic networks
Camacho, E., Radulescu, A., Wirkus, S. & Marshall, P., Apr 1 2019, In : Communications in Nonlinear Science and Numerical Simulation. 69, p. 148-167 20 p.Research output: Contribution to journal › Article
Genetic Network
Bistability
Saccharomyces Cerevisiae
Qualitative Analysis
Yeast