Science Communication Strategies in the K-12 Classroom

@ItsIsing andrewising@gmail KABT.org #SciComm2016 bit.ly/isingnsc Why is science literacy important to you? Why is science literacy important to me? Situation #1: Peer Review -- Scientists talking to other Scientists; Making Science Research More Accessible: Poster Sessions [KABT Miniposters] Situation #2: Informal Science -- Scientists telling science stories Common sources: Blogs, science magazines, newspapers, etc. Documentaries Social Media Why students like this: Narrative… Drama… Fewer long latin words Situation #3: Community Outreach -- Scientists talking as experts to an audience “A scientist seen is a scientist trusted” Be/Become someone’s “BROADER IMPACTS”! Citizen Science Projects (Scistarter, YourWildLife, IMP, Great KS Tardigrade Hunt, BioBlitz) Professional Society Meetings (KHS Field Trips) Skype/Google+ Hangouts/FaceTime/FacebookLive Social Media: Tweet-ups; #SciStuChat; #NGSSchat; #citsci; #edvines/#6secscience The ultimate goal in my room: Students as the experts @ItsIsing andrewising@gmail #SciComm2016 bit.ly/isingnsc Question(s)

RPM and flow modulation for a continuous flow left ventricular assist device to increase vascular pulsatility : a computer simulation, mock circulation, and in-vivo animal study.

Purpose: Continuous flow (CF) left ventricular assist devices (LVAD) support diminishes vascular pressure pulsatility. Despite its recent clinical success and reliability, CF LVAD support has been associated with adverse events including gastrointestinal bleeding, aortic valve insufficiency, and hemorrhagic strokes. To overcome these limitations, we have developed flow/RPM modulation algorithms to provide vascular pulsatility using a CF LVAD. Methods: The effects of timing and synchronizing the CF LVAD flow/RPM modulation to the native ventricle, modulation amplitude, and modulation widths were studied on the native ventricle and vasculature using computer simulation, mock loop, and animal model studies. A total of over 100 combinations of flow modulation algorithms to modulate CF LVAD flow/RPM were tested for partial and full LVAD support modes. Results: Modulation of CF LVAD flow/RPM resulted in an increased arterial pressure pulsatility of up to 50 mmHg during asynchronous modulation and 20 mmHg during synchronous modulation. Synchronous CF LVAD RPM modulation allowed for a range of reduced left ventricular external work (LVEW) as compared to un-modulated CF LVAD support conditions. Full support co-pulsation (high RPM during systole, low RPM during diastole) created greater pulse pressures as compared to counter pulsation (high RPM during diastole, low RPM during systole). However, all full support modulation timings yielded higher pulse pressure than normal full support CF LVAD flow at low ventricular contractilities. Importantly, reduction in LVEW and increase in pulsatility may be adjusted to user-defined values while maintaining the same average CF LVAD flow rate. Conclusions: These LVAD flow/RPM modulations may reduce the incidence of adverse events associated with the CF LVAD therapy by increasing vascular pulsatility and reducing vascular impedance. Further, these methods of CF LVAD flow/RPM modulation may enable tailored unloading of the native ventricle to provide rest and rehabilitation (maximal unloading to rest followed by gradual reloading to wean), which may promote sustainable myocardial recovery

Temperature-extended Jarzynski relation: Application to the numerical calculation of the surface tension

We consider a generalization of the Jarzynski relation to the case where the system interacts with a bath for which the temperature is not kept constant but can vary during the transformation. We suggest to use this relation as a replacement to the thermodynamic perturbation method or the Bennett method for the estimation of the order-order surface tension by Monte Carlo simulations. To demonstrate the feasibility of the method, we present some numerical data for the 3D Ising model

The L1-Potts functional for robust jump-sparse reconstruction

We investigate the non-smooth and non-convex $L^1$-Potts functional in discrete and continuous time. We show $\Gamma$-convergence of discrete $L^1$-Potts functionals towards their continuous counterpart and obtain a convergence statement for the corresponding minimizers as the discretization gets finer. For the discrete $L^1$-Potts problem, we introduce an $O(n^2)$ time and $O(n)$ space algorithm to compute an exact minimizer. We apply $L^1$-Potts minimization to the problem of recovering piecewise constant signals from noisy measurements $f.$ It turns out that the $L^1$-Potts functional has a quite interesting blind deconvolution property. In fact, we show that mildly blurred jump-sparse signals are reconstructed by minimizing the $L^1$-Potts functional. Furthermore, for strongly blurred signals and known blurring operator, we derive an iterative reconstruction algorithm

Critical behavior of a non-equilibrium interacting particle system driven by an oscillatory field

First- and second-order temperature driven transitions are studied, in a lattice gas driven by an oscillatory field. The short time dynamics study provides upper and lower bounds for the first-order transition points obtained using standard simulations. The difference between upper and lower bounds is a measure for the strength of the first-order transition and becomes negligible small for densities close to one half. In addition, we give strong evidence on the existence of multicritical points and a critical temperature gap, the latter induced by the anisotropy introduced by the driving field.Comment: 12 pages, 4 figures; to appear in Europhys. Let