This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Accurate assessment of circadian timing is critical to many applications, including timing of drug delivery, prediction of neurobehavioral performance, and optimized scheduling of sleep. Current methods for measuring circadian timing are onerous and do not produce results in real time. Mathematical …
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We will discuss about "DNA as a universal substrate for chemical kinetics ", Soloveichik et al., PNAS (2009) Molecular programming aims to systematically engineer molecular and chemical systems of autonomous function and ever-increasing complexity. A key goal is to develop embedded control circuitry within a chemical system to direct molecular events. Here we show that … |
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Abstract: The biological master clock, the suprachiasmatic nucleus (SCN) of a mouse, contains many (~20,000) clock cells heterogeneous, particularly with respect to their circadian period. Despite the inhomogeneity, within an intact SCN, they maintain a very high degree of circadian phase coherence, which is generally rendered visible as system-wide propagating phase waves. The phase coherence … |
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Abstract: We consider the problem of nonparametric imputation using neural network models. Neural network models can capture complex nonlinear trends and interaction effects, making it a powerful tool for predicting missing values under minimum assumptions on the missingness mechanism. Statistical inference with neural network imputation, including variance estimation, is challenging because the basis for function … |
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We will discuss about "Collective Oscillations in coupled cell systems", Chen and Sinh, Bulletin of Mathematical Biology, 2021 We investigate oscillations in coupled systems. The methodology is based on the Hopf bifurcation theorem and a condition extended from the Routh–Hurwitz criterion. Such a condition leads to locating the bifurcation values of the parameters. With such … |
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