Registered Data
Contents
- 1 [CT182]
- 1.1 [02158] Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping
- 1.2 [02529] Application of machine learning to predict dynamics of epidemiological models that incorporate human behavior
- 1.3 [02615] Theory of the cell motility mechanism in the absence of adhesions
[CT182]
[02158] Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping
- Session Date & Time : 4E (Aug.24, 17:40-19:20)
- Type : Contributed Talk
- Abstract : The mammalian circadian clock is based on a self-sustaining transcriptional-translational negative feedback loop. This machinery is expected to suffer from the heterogeneous arrival time distribution of clock protein from the noisy intracellular environment at the nucleus; however, mammals exhibit robust daily rhythms of physiological and behavioral processes, including sleep and hormone secretion. We explore under which condition the circadian clock compensates for the heterogeneity by a modeling approach.
- Classification : 92BXX, 92Cxx
- Author(s) :
- Seokjoo Chae
- Dae Wook Kim (University of Michigan)
- Seunggyu Lee (Korea University)
- Jae Kyoung Kim (KAIST)
[02529] Application of machine learning to predict dynamics of epidemiological models that incorporate human behavior
- Session Date & Time : 4E (Aug.24, 17:40-19:20)
- Type : Contributed Talk
- Abstract : In this work, we present modeling, analysis and simulation of a mathematical epidemiological model which incorporates human social, behavioral, and economic interactions. We discuss an approach based in Physics-Informed Neural Network, which is capable of predicting the dynamics of a disease described by modified compartmental models that include parameters, and variables associated with the governing differential equations. Finally, human behavior is modeled stochastically and it is included in the compartmental models.
- Classification : 92Bxx, 92-04, 92-05
- Author(s) :
- Alonso Gabriel Ogueda Oliva (George Mason University)
- Padmanabhan Seshaiyer (George Mason University)
[02615] Theory of the cell motility mechanism in the absence of adhesions
- Session Date & Time : 4E (Aug.24, 17:40-19:20)
- Type : Contributed Talk
- Abstract : The existing paradigm of the cell motility cycle does not hold for in vivo cell movement in complex 3D environments. In physiologically relevant environments, cells frequently use pressure-driven round membrane protrusions for locomotion. The role of substrate adhesion is minimal, and it remains unknown if and how a cell can migrate without any adhesions. Here, we leverage modeling and computational tools to reveal the step-by-step cycle of locomotion for cells that use blebs as leading-edge protrusions in confined environments. We show that cells cannot effectively migrate when the cell cortex is a purely elastic material, even with asymmetric channel geometry. Cells migrate effectively if actin turnover is included with a viscoelastic description for the cortex. Lastly, we compare with previous experimental findings and identify the spatiotemporal force distribution during a motility cycle.
- Classification : 92Bxx, 76Zxx
- Author(s) :
- Calina Anamaria Copos (Northeastern University)
- Calina Copos (Northeastern University)
- Wanda Strychalski (Case Western Reserve University)