Month: September 2016

New optical material offers unprecedented control of light and thermal radiation

A team led by Nanfang Yu, assistant professor of applied physics at Columbia Engineering, has discovered a new phase-transition optical material and demonstrated novel devices that dynamically control light over a much broader wavelength range and with larger modulation amplitude than what has currently been possible. The team, including researchers from Purdue, Harvard, Drexel, and Brookhaven National Laboratory, found that samarium nickelate (SmNiO3) can be electrically tuned continuously between a transparent and an opaque state over an unprecedented broad range of spectrum from the blue in the visible (wavelength of 400 nm) to the thermal radiation spectrum in the mid-infrared (wavelength of a few tens of micrometers).

Source: phys.org

Self-organization of signal transduction.

We propose a model of parameter learning for signal transduction, where the objective function is defined by signal transmission efficiency. We apply this to learn kinetic rates as a form of evolutionary learning, and look for parameters which satisfy the objective. This is a novel approach compared to the usual technique of adjusting parameters only on the basis of experimental data. The resulting model is self-organizing, i.e. perturbations in protein concentrations or changes in extracellular signaling will automatically lead to adaptation. We systematically perturb protein concentrations and observe the response of the system. We find compensatory or co-regulation of protein expression levels. In a novel experiment, we alter the distribution of extracellular signaling, and observe adaptation based on optimizing signal transmission. We also discuss the relationship between signaling with and without transients. Signaling by transients may involve maximization of signal transmission efficiency for the peak response, but a minimization in steady-state responses. With an appropriate objective function, this can also be achieved by concentration adjustment. Self-organizing systems may be predictive of unwanted drug interference effects, since they aim to mimic complex cellular adaptation in a unified way.

 

Scheler G. Self-organization of signal transduction [version 1; referees: 2 approved]. F1000Research 2013, 2:116 (doi: 10.12688/f1000research.2-116.v1)

Source: f1000research.com

3 Senior Researcher Positions at Lakeside Labs

  • Senior Researcher in UAV communications and coordination
  • Senior Researcher in Cyber-Physical Systems
  • Senior Researcher in Self-Organization and Swarming
  • Researcher in UAV Path Planning
  • PreDoc Scientist in Embedded Communication Systems (U Klagenfurt)

Source: www.lakeside-labs.com