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Roma Forestiera: Migrant Music in Rome, followed by reception and screening of Matewan

Please, join us on Wednesday, March 2, 2016 for a very special event!  As a part of the Arts & Sciences Passport to the World, Year of Europe, the UK Appalachian Center welcomes Alessandro Portelli for a talk entitled Roma Forestiera: Migrant Music in Rome.  The talk will be held in the UKAA Auditorium in W. T. Young Library from 3:30 p.m. to 5 p.m.  This will be followed by a reception with light refreshments from 5 p.m. to 6 p.m. in the Alumni Gallery.  A screening of the film Matewan will be offered in the Auditorium from 6 p.m. to 9 p.m. with an introduction by Professor Portelli.  This event is free for UK Students, Faculty, and Staff.

 

Date:
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Location:
UKAA Auditorium, W.T. Young Library

Applied Math Seminar

Speaker: David, Murrugarra, UKY
Title: Estimating Propensity Parameters using Google PageRank and Genetic Algorithms
Abstract: Stochastic Boolean networks, or more generally stochastic discrete networks, are an important class of computational models for molecular interaction networks.
The stochasticity stems from the updating schedule. The standard updating schedules include the synchronous update, where all the nodes are updated at the same time
and gives a deterministic dynamic, and the asynchronous update, where a random node is updated at each time step that gives a stochastic dynamics.
A more general stochastic setting considers propensity parameters for updating each node.  SDDS is a modeling framework that considers two propensity values for updating each node, one when the update has a positive impact on the variable, that is, when the update causes the variable to increase its value, and the other when the update is negative, that is, when the update causes it to decrease its value. This extension adds a complexity in parameter estimation of the propensity parameters. This talk presents a method for estimating the propensity parameters for SDDS. The method is based on adding noise to the system using the Google PageRank approach to make the system ergodic and thus guaranteeing the existence of a stationary distribution and then with the use of a genetic algorithm the propensity parameters are estimated.
 
Date:
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Location:
POT 745

Theory Seminar: The Search for Missing Aircraft: A Mathematical Model to Aid in Search and Rescue Missions

In this informal talk, I present a mathematical model which was developed for the 2015 Mathematical Contest in Modeling. The model aims to help in planning an efficient search for a lost plane that may have crashed in open waters. This talk will be of particular interest to undergrads who hope to enter this year's contest, or are interested in mathematical modeling.

Date:
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Location:
CP179

Astro Seminar: Atomic Physics Challenge. Testing the Primordial He Abundance

Measurement of the primordial abundances of the lightest elements is one of the three decisive tests of Big Bang cosmology minutes after the Big Bang, and how their abundances vary with cosmological parameters. The predicted range in the He/H abundance ratio is not large, so it must be measured with a precision approaching 1% if a definitive cosmological test is to be made. The abundance ratio is measured in low-metallicity H II regions by using H I and He I recombination lines. Both H I and He I radiative recombination effective rate coefficients must be known to at least this 1% precision. Between the various uncertainties of the theoretical data, rate coefficients for collisions are the most uncertain. One of the most prominent uncertainties is on l-changing slow heavy impact collisions. Different l-changing data differ about a dex. We have use Cloudy to simulate He I and H I emissivities using the different data and found differences up to 10% in emission line intensities. Solid arguments take us to recommend one set of data over the others.

Date:
-
Location:
CP179
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