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DTSTART;TZID=America/Los_Angeles:20190401T161500
DTEND;TZID=America/Los_Angeles:20190401T171500
DTSTAMP:20260422T235748
CREATED:20190307T230118Z
LAST-MODIFIED:20190312T223842Z
UID:1265-1554135300-1554138900@colleges.claremont.edu
SUMMARY:Applied Math Talk: Repurposing FDA-approved drugs as host-oriented therapies against infectious diseases (Prof. Mikhail Martchenko\, KGI)
DESCRIPTION:The traditional method of treating most human diseases is to direct a therapy against targets in the host patient\, whereas conventional therapies against infectious diseases are directed against the pathogen. Unfortunately\, the efficacy of pathogen-oriented therapies and their ability to combat emerging threats such as genetically engineered and non-traditional pathogens and toxins have been limited by the occurrence of mutations that render pathogen targets resistant to countermeasures. Our work shows that host proteins that are exploited by pathogens (Host Proteins Exploited by Pathogens; HPEPs) contribute to the severity of exposure to pathogenic agents. We find that pathogens recruit HPEPs to bind to\, enter\, reproduce in\, exit from\, and kill host cells. Thus\, HPEPs are potential targets for therapies. This presentation will discuss examples of our drug discovery efforts to identify host-oriented therapies.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-repurposing-fda-approved-drugs-as-host-oriented-therapies-against-infectious-diseases-prof-mikhail-martchenko-kgi/
LOCATION:Emmy Noether Room\, Millikan 1021\, Pomona College\, 610 N. College Ave.\, Claremont\, California\, 91711
CATEGORIES:Applied Math Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190408T161500
DTEND;TZID=America/Los_Angeles:20190408T171500
DTSTAMP:20260422T235748
CREATED:20190311T221343Z
LAST-MODIFIED:20190401T035013Z
UID:1271-1554740100-1554743700@colleges.claremont.edu
SUMMARY:Models of Biological Tissue Electrostatics and Molecular Transport (Jim Sterling\, KGI)
DESCRIPTION:In this presentation\, some fundamentals of electrostatics in biology will be discussed with focus on the fact that most biological macromolecules including nucleic acids\, carbohydrates\, and proteins are negatively-charged. Electroneutrality requires cations to move toward the macromolecules where they both screen and bind to the negatively-charged groups. An important class of mathematical models of species-flux and electrostatics are known as the Poisson-Nernst-Planck\, or PNP equations. These are partial differential equations describing some important biophysical consequences.
URL:https://colleges.claremont.edu/ccms/event/models-of-biological-tissue-electrostatics-and-molecular-transport-jim-sterling-kgi/
LOCATION:Emmy Noether Room\, Millikan 1021\, Pomona College\, 610 N. College Ave.\, Claremont\, California\, 91711
CATEGORIES:Applied Math Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190415T161500
DTEND;TZID=America/Los_Angeles:20190415T171500
DTSTAMP:20260422T235748
CREATED:20190130T213705Z
LAST-MODIFIED:20190409T033118Z
UID:1188-1555344900-1555348500@colleges.claremont.edu
SUMMARY:Applied Math Talk: Solving Complex Public Health Problems—Cancer\, Obesity and Aging (Jessica Dehart\, CGU)
DESCRIPTION:Abstract: Remember smoking? What’s the new public health problem? In the US\, we are currently entangled within three converging and intertwined complex problems: Cancer\, Obesity\, Aging. There are over 16 million cancer survivors living in the US as we speak. Over 50% of our society is overweight and/obese. Our society is aging and the age distribution is much older than a few years back. Cancer\, obesity and aging share several risk factors\, biological mechanisms and patterns. Given the multidimensionality and complexity of these issues\, only a transdisciplinary approach will have the best chances of success in sustaining a health society. This talk will discuss the problems and potential transdisciplinary approaches—including math—to finding successful solutions.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-given-by-jessica-dehart-cgu/
LOCATION:Emmy Noether Room\, Millikan 1021\, Pomona College\, 610 N. College Ave.\, Claremont\, California\, 91711
CATEGORIES:Applied Math Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190422T161500
DTEND;TZID=America/Los_Angeles:20190422T171500
DTSTAMP:20260422T235748
CREATED:20190413T180615Z
LAST-MODIFIED:20190417T181832Z
UID:1302-1555949700-1555953300@colleges.claremont.edu
SUMMARY:Applied Math Talk: Nonlocal problems for linear evolution equations (Prof. Smith David Andrew\, Yale-NUS College\, Singapore)
DESCRIPTION:Linear evolution equations\, such as the heat equation\, are commonly studied on finite spatial domains via initial-boundary value problems. In place of the boundary conditions\, we consider “multipoint conditions”\, where one specifies some linear combination of the solution and its derivative evaluated at internal points of the spatial domain\, and “nonlocal” specification of the integral over space of the solution against some continuous weight.
URL:https://colleges.claremont.edu/ccms/event/applied-math-talk-nonlocal-problems-for-linear-evolution-equations-prof-smith-david-andrew/
LOCATION:Emmy Noether Room\, Millikan 1021\, Pomona College\, 610 N. College Ave.\, Claremont\, California\, 91711
CATEGORIES:Applied Math Seminar
GEO:34.099908;-117.7142522
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190429T161500
DTEND;TZID=America/Los_Angeles:20190429T171500
DTSTAMP:20260422T235748
CREATED:20190301T165215Z
LAST-MODIFIED:20190419T000523Z
UID:1244-1556554500-1556558100@colleges.claremont.edu
SUMMARY:Applied Math Seminar: The Kaczmarz Algorithm and its Applications to Data Science (Anna Ma\, UCSD)
DESCRIPTION:Data is exploding at a faster rate than computer architectures can handle. For that reason\, mathematical techniques to analyze large-scale data need be developed. Stochastic iterative algorithms have gained interest due to their low memory footprint and adaptability for large-scale data. In this talk\, we will study the Randomized Kaczmarz algorithm for solving extremely large linear systems of the form Ax=y. In the spirit of large-scale data\, this talk will proceed under the assumption that the entire data matrix A cannot be loaded into memory in a single instance. We consider different settings including when a only factorization of A is available\, when x is sparse\, and a time-varying model. We will also present applications of these Kaczmarz variants to problems in data science.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-give-by-anna-ma-ucsd/
LOCATION:Emmy Noether Room\, Millikan 1021\, Pomona College\, 610 N. College Ave.\, Claremont\, California\, 91711
CATEGORIES:Applied Math Seminar
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