| Dr. Dan Dongeun Huh, Dept of Bioengineering, University of Pennsylvania | Dr. Dan Dongeun Huh, Dept of Bioengineering, University of Pennsylvania | Ewing 336 Conference Room | Title: Microengineered Physiological Bio-mimicry: Human Organs-on-Chips | 12/3/2018 4:15:00 PM | 12/3/2018 5:15:00 PM | False | |
| Dr Cencheng Shen, Applied Economics and Statistics, University of Delaware | Dr Cencheng Shen, Applied Economics and Statistics, University of Delaware | Ewing 336 Conference Room | Title: Dependency Discovery via Multiscale Graph Correlation
<br><br>
Abstract: Determining how certain properties are related to other
properties is fundamental to scientific discovery; further
investigations into the geometry of the relationship and future
predictions are warranted only if two properties are significantly
related. To better discover any type of relationship underlying paired
sample data, we introduce the multiscale graph correlation (MGC), which
combines distance correlation, the locality principle, and smoothed
maximum to yield a new and powerful dependency measure.
<br><br>
We prove that MGC is consistent for testing independence, enjoys a
number of desirable theoretical properties, exhibits empirical power
advantages against a wide range of nonlinear and high-dimensional
dependencies, and can be efficiently implemented and utilized for real
data exploration. | 11/12/2018 4:15:00 PM | 11/12/2018 5:15:00 PM | False | |
| Dr Sean Sun, Department of Mechanical Engineering, Johns Hopkins University | Dr Sean Sun, Department of Mechanical Engineering, Johns Hopkins University | Ewing 336 Conference Room | Title: Water dynamics in cell mechanics and cell motility | 11/5/2018 4:15:00 PM | 11/5/2018 5:15:00 PM | False | |
| Dr. Enkelaida Lushi, Flatiron Institute | Dr. Enkelaida Lushi, Flatiron Institute | Ewing 336 Conference Room | Title: Nonlinear concentration patterns and bands in chemotactic active suspensions
<br><br>
Abstract:
In suspensions of microorganisms, pattern formation can arise from the interplay of chemotaxis and the fluid flows collectively-generated by the organisms themselves. Here we investigate the resulting pattern formation in square and elongated domains when the chemo-attractant dynamics is fully coupled to the fluid flows and swimmer motion. Analyses reveal an aggregative instability due to chemotaxis, independent of swimmer shape and type, and a hydrodynamic instability for “pusher” swimmers. Simulations reveal a critical length scale of the swimmer aggregates and this feature e can be utilized to stabilize swimmer concentration patterns into quasi-one-dimensional bands by varying the domain size. These concentration bands transition to traveling pulses under an external chemo-attractant gradient, as observed in experiments with chemotactic bacteria.
| 11/1/2018 7:30:00 PM | 11/1/2018 8:30:00 PM | False | |
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