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Archive : Applied Mathematics and Mathematical Medicine and Biology Seminar

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Seth Cowall, Dept of Mathematical Sciences, UDSeth Cowall, Dept of Mathematical Sciences, UDEwing 336Title: Data-Driven Modeling of Phytoplankton Blooms in the Ocean<br></br> Abstract: Phytoplankton are the base of the marine food web. They are also responsible for almost half of the oxygen we breathe and they remove carbon dioxide from the atmosphere. A macroscale plankton ecology model is constructed consisting of coupled, nonlinear reaction-diffusion equations with spatially and temporally changing coefficients. An example of an NPZ model, this model simulates biological interactions between nutrients, phytoplankton and zooplankton. It also incorporates seasonally varying, physically driven forces that affect the phytoplankton growth: solar radiation and depth of the ocean’s upper mixed layer. The model’s predictions are dependent on the parametric functional behavior of the model. The model is analyzed using seasonal oceanic data with the goals of understanding the model’s dependence on its parameters and of understanding seasonal changes in plankton biomass. The model is tested on different regions of the world’s oceans so that appropriate choices can be made for parameters that correspond to physical/biological quantities in those regions. A study of varying parameter values and the resulting effects on the solutions, stability, and the timing of blooms is carried out. This modeling effort can be helpful for understanding the ecological structure of plankton communities and the timing of seasonal phytoplankton blooms, which are debated topics in oceanography.4/18/2018 3:15:00 PM4/18/2018 4:15:00 PMFalse
Prof. Ben Bagozzi, UD Department of Political Science Prof. Ben Bagozzi, UD Department of Political ScienceTitle:Modeling Political Event Data: Opportunities and Challenges<br></br> Abstract:Political event data measure "who did what to whom (and where/when)" for a wide number of actors (e.g., diplomats, police, military members, civilians, or NGOs) and actions (e.g., verbal threats, expressions of intents to cooperate, bombings, or atrocities). These data are typically machine coded from international newswires reports, and now encompass millions of (daily, geo-located) events arising both between and within all countries of the world. This talk will introduce political event data, their structure, and their most common uses. The talk will then detail a series of methodological challenges that arise in efforts to model and predict political event data. Here, special attention will be given to the (spatio-temporal and network) structure of event data, the inherent rarity of most events of interest (e.g., political violence), underlying measurement error issues, and the discrete (mixture) properties of many commonly analyzed event data variables. A selection of proposed modeling solutions to these challenges will then be presented in finer detail.4/11/2018 3:15:00 PM4/11/2018 4:15:00 PMFalse
Dr Eric Kmiec, Helen F. Graham Cancer Center & Research Institute, Christiana Care Health SystemDr Eric Kmiec, Helen F. Graham Cancer Center & Research Institute, Christiana Care Health SystemEwing 336Title: CRISPR-directed Human Gene Editing: Clinical Application for Sickle Cell Disease <br></br> Abstract: The capacity to genetically modify a human chromosome has increased significantly with the introduction of programmable nucleases, including Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR) and Cas9/Cpf1 Nucleases. CRISPR-directed gene editing of human cells is revolutionizing the treatment of inherited diseases including Sickle Cell Disease (SCD). This seminar will outline the clinical and developmental program aimed at repairing the mutation in SCD patient cells currently taking place at the Gene Editing Institute at Christiana Care Health System. In addition, the novel clinical approach for treating non-small cell lung cancer (NSCLC), using CRISPR-directed gene editing to disable functionally key genes responsible for chemo-resistance in humans being carried out at the same institution, will also be discussed. 2/21/2018 4:15:00 PM2/21/2018 5:15:00 PMFalse
Dr Bruce Boman, Helen F. Graham Cancer Center and Christiana Health Care SystemsDr Bruce Boman, Helen F. Graham Cancer Center and Christiana Health Care SystemsEwing 336Title: Mathematical Modeling of the Dynamic Organization of Cells in Tissues <br></br> Abstract: Our goal is to identify and apply the fundamental mathematical laws and biological rules associated with the emergence of complex properties in biological systems. The precision and maintenance of tissue organization in living organisms suggests the existence of underlying general principles (“rules”) across the range of all multicellular organisms. We have been using mathematical modeling to explain how living organisms maintain themselves in a highly ordered state despite persistent turnover of cells in their tissues. The discovery of the “biological rules for tissue organization” will not only help us understand how the phenotype of an organism is encoded by its genetic makeup but also how tissue pathology (such as cancer) arises from genetic alterations. This work is in collaboration with Drs Christopher Raymond and Gilberto Schleiniger. 2/14/2018 4:15:00 PM2/14/2018 5:15:00 PMFalse

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