Mathematical Modeling Of Tumor Immune Interactions: A Closer Look At The Role Of A Pd-L1 Inhibitor In Cancer Immunotherapy,
2017
Pomona College
Mathematical Modeling Of Tumor Immune Interactions: A Closer Look At The Role Of A Pd-L1 Inhibitor In Cancer Immunotherapy, Timothy Woods Ii
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Method For Sensitivity Analysis And Parameter Estimation Applied To A Large Reaction-Diffusion Model Of Cell Polarization,
2017
The Ohio State University
A Method For Sensitivity Analysis And Parameter Estimation Applied To A Large Reaction-Diffusion Model Of Cell Polarization, Marissa Renardy, Tau-Mu Yi, Dongbin Xiu, Ching-Shan Chou
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Drawbacks Of Utilizing The Logit Link In Propensity Score Weighting Adjustment,
2017
LSUHSC, School of Public Health, Biostatistics Program
Drawbacks Of Utilizing The Logit Link In Propensity Score Weighting Adjustment, Evrim Oral
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Handguns And Hotspots: Spatio- Temporal Models For Gun Violence In Chicago,Il,
2017
University of Tennessee, Knoxville
Handguns And Hotspots: Spatio- Temporal Models For Gun Violence In Chicago,Il, Shelby Scott
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Development Of Epithelial Tissues: How Are Cleavage Planes Chosen?,
2017
Ohio University - Main Campus
Development Of Epithelial Tissues: How Are Cleavage Planes Chosen?, Ying Xin
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Mathematical Medicine: Modeling Disease And Treatment,
2017
Illinois State University
Mathematical Medicine: Modeling Disease And Treatment, Lisette Depillis
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Evolution Of Superoscillations For Schrödinger Equation In A Uniform Magnetic Field,
2017
Politecnico di Milano
Evolution Of Superoscillations For Schrödinger Equation In A Uniform Magnetic Field, Fabrizio Colombo, Jonathan Gantner, Daniele C. Struppa
Mathematics, Physics, and Computer Science Faculty Articles and Research
Aharonov-Berry superoscillations are band-limited functions that oscillate faster than their fastest Fourier component. Superoscillations appear in several fields of science and technology, such as Aharonov’s weak measurement in quantum mechanics, in optics, and in signal processing. An important issue is the study of the evolution of superoscillations using the Schrödinger equation when the initial datum is a weak value. Some superoscillatory functions are not square integrable, but they are real analytic functions that can be extended to entire holomorphic functions. This fact leads to the study of the continuity of a class of convolution operators acting on suitable spaces of …
Cayley Graphs Of Groups And Their Applications,
2017
Missouri State University
Cayley Graphs Of Groups And Their Applications, Anna Tripi
Graduate Theses/Dissertations
Cayley graphs are graphs associated to a group and a set of generators for that group (there is also an associated directed graph). The purpose of this study was to examine multiple examples of Cayley graphs through group theory, graph theory, and applications. We gave background material on groups and graphs and gave numerous examples of Cayley graphs and digraphs. This helped investigate the conjecture that the Cayley graph of any group (except Z_2) is hamiltonian. We found the conjecture to still be open. We found Cayley graphs and hamiltonian cycles could be applied to campanology (in particular, to the …
Some Problems Arising From Mathematical Model Of Ductal Carcinoma In Situ.,
2017
University of Louisville
Some Problems Arising From Mathematical Model Of Ductal Carcinoma In Situ., Heng Li
Electronic Theses and Dissertations
Ductal carcinoma in situ (DCIS) is the earliest form of breast cancer. Three mathematical models in the one dimensional case arising from DCIS are proposed. The first two models are in the form of parabolic equation with initial and known moving boundaries. Direct and inverse problems are considered in model 1, existence and uniqueness are proved by using tool from heat potential theory and Volterra integral equations. Also, we discuss the direct problem and nonlocal problem of model 2, existence and uniqueness are proved. And approximation solution of these problems are implemented by Ritz-Galerkin method, which is the first attempt …
Extending Difference Of Votes Rules On Three Voting Models.,
2017
University of Louisville
Extending Difference Of Votes Rules On Three Voting Models., Sarah Schulz King
Electronic Theses and Dissertations
In a voting situation where there are only two competing alternatives, simple majority rule outputs the alternatives with the most votes or declares a tie if both alternatives receive the same number of votes. For any non-negative integer k, the difference of votes rule Mk outputs the alternative that beats the competing alternative by more than k votes. Llamazares (2006) gives a characterization of the difference of votes rules in terms of five axioms. In this thesis, we extend Llamazares' result by completely describing the class of voting rules that satisfy only two out of his five axioms. …
Mathematical Description And Mechanistic Reasoning: A Pathway Toward Stem Integration,
2017
Oakland University
Mathematical Description And Mechanistic Reasoning: A Pathway Toward Stem Integration, Paul J. Weinberg
Journal of Pre-College Engineering Education Research (J-PEER)
Because reasoning about mechanism is critical to disciplined inquiry in science, technology, engineering, and mathematics (STEM) domains, this study focuses on ways to support the development of this form of reasoning. This study attends to how mechanistic reasoning is constituted through mathematical description. This study draws upon Smith’s (2007) characterization of mathematical description of scientific phenomena as ‘‘bootstrapping,’’ where negotiating the relationship between target phenomena and represented relations is fundamental to learning. In addition, the development of mathematical representation presents a viable pathway towards STEM integration. In this study, participants responded to an assessment of mechanistic reasoning while cognitive interviews …
Frechet Differentiable Norm And Locally Uniformly Rotund Renormings,
2017
Tribhuvan University Siddhnath Science Campus
Frechet Differentiable Norm And Locally Uniformly Rotund Renormings, Gaj R. Damai, Prakash M. Bajracharya
Applications and Applied Mathematics: An International Journal (AAM)
In this paper, we study briefly the role played by the locally uniformly rotund (LUR) norm and Frechet differentiability of a norm on the Banach space theory. Our old outstanding open Problem 3.8 mentioned below is the main object of this paper. We study nearly about it and find some additional assumptions on the space attached with this problem to obtain its positive or negative answer. We investigate different results related to these norms and their duals on different settings. In particular, we introduce reflexive spaces, Banach spaces with unconditional basis, weakly locally uniformly rotund (WLUR) norm, Almost locally uniformly …
Uncovering Functional Relationships In Leukemia,
2017
Mathematical Biosciences Institute
Uncovering Functional Relationships In Leukemia, Reginald Mcgee
Biology and Medicine Through Mathematics Conference
No abstract provided.
On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings,
2017
University of Leeds
On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia
Biology and Medicine Through Mathematics Conference
No abstract provided.
A Single Shape From Multiple Cues: How Local And Global Information Organizes Shape Inference,
2017
Brown University
A Single Shape From Multiple Cues: How Local And Global Information Organizes Shape Inference, Benjamin Kunsberg, Steven W. Zucker
MODVIS Workshop
No abstract provided.
Evolution Of Influenza H3n2: A Random Walk In High Dimensions,
2017
Emory University
Evolution Of Influenza H3n2: A Random Walk In High Dimensions, James R. Moore
Biology and Medicine Through Mathematics Conference
No abstract provided.
Dynamics Of Fluorescent Imaging In Glob-Driven Breakup,
2017
University of Delaware
Dynamics Of Fluorescent Imaging In Glob-Driven Breakup, Lan Zhong, Christiaan Ketelaar, Richard J. Braun, Carolyn G. Begley, Peter Ewen King-Smith
Biology and Medicine Through Mathematics Conference
No abstract provided.
Role Of The Cost Of Plasticity In Determining The Features Of Fast Vision In Humans.,
2017
Department NEUROFARBA ,University of Florence
Role Of The Cost Of Plasticity In Determining The Features Of Fast Vision In Humans., Maria M. Del Viva Phd, Renato Budinich M. Sc, Laura Palmieri M. Sc, Vladimir S Georgiev Phd, Giovanni Punzi Phd
MODVIS Workshop
No abstract provided.
Tropical Algebra, Graph Theory, & Foreign Exchange Arbitrage,
2017
James Madison University
Tropical Algebra, Graph Theory, & Foreign Exchange Arbitrage, Bradley A. Mason
Senior Honors Projects, 2010-2019
We answer the question, given n currencies and k trades, how can a maximal arbitrage opportunity be found and what is its value? To answer this question, we use techniques from graph theory and employ a max-plus algebra (commonly known as tropical algebra). Further, we show how the tropical eigenvalue of a foreign exchange rate matrix relates to arbitrage among the currencies and can be found algorithmically. We finish by employing time series techniques to study the stability of maximal, high-currency arbitrage opportunities.
Mathematical Modeling Of Financial Derivative Pricing,
2017
University of Connecticut
Mathematical Modeling Of Financial Derivative Pricing, Kelly L. Cosgrove
Honors Scholar Theses
The binomial asset-pricing model is used to price financial derivative securities. This text will begin by going over the probability concepts necessary to understand this discrete-time model. It then develops the theory behind the binomial model and different properties that arise. It shows how to use the binomial model to predict future stock prices, and then uses this information to price derivative securities. It initially focuses on the European call option, but goes on to provide a pricing method for the American put option. However, many of the theorems developed are applicable to all derivative securities. The text wraps up …
