Identification Of Control Targets In Boolean Networks Via Computational Algebra,
2021
University of Dayton
Identification Of Control Targets In Boolean Networks Via Computational Algebra, Alan Veliz-Cuba
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
An Integral Projection Model For Gizzard Shad That Includes Density-Dependent Age-0 Survival,
2021
University of Wisconsin - La Crosse
An Integral Projection Model For Gizzard Shad That Includes Density-Dependent Age-0 Survival, James Peirce, Greg Sandland
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Building Model Prototypes From Time-Course Data,
2021
University of Kentucky
Building Model Prototypes From Time-Course Data, David Murrugarra, Alan Veliz-Cuba
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Biocontrol Of The Emerald Ash Borer: An Adapted Nicholson-Bailey Model,
2021
University of Richmond
Biocontrol Of The Emerald Ash Borer: An Adapted Nicholson-Bailey Model, Michael Kerckhove, Shuheng Chen
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Mathematical Model Describing The Behavior Of Biomass, Acidity, And Viscosity As A Function Of Temperature In The Shelf Life Of Yogurt,
2021
Durango Institute of Technology, México
Mathematical Model Describing The Behavior Of Biomass, Acidity, And Viscosity As A Function Of Temperature In The Shelf Life Of Yogurt, Manuel Alvarado, Paul A. Valle, Yolocuauhtli Salazar
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Level And Gorenstein Projective Dimension,
2021
University of Nebraska-Lincoln
Level And Gorenstein Projective Dimension, Laila Awadalla, Thomas Marley
Department of Mathematics: Faculty Publications
We investigate the relationship between the level of a bounded complex over a commutative ring with respect to the class of Gorenstein projective modules and other invariants of the complex or ring, such as projective dimension, Gorenstein projective dimension, and Krull dimension. The results build upon work done by J. Christensen [7], H. Altmann et al. [1], and Avramov et al. [4] for levels with respect to the class of finitely generated projective modules.
The concept of level in a triangulated category, first defined by Avramov, Buch- weitz, Iyengar, and Miller [4], is a measure of how many mapping cones …
Mathematical Modeling Of Breast Cancer Cell Mcf-7 Growths Due To Curcumin Treatments,
2021
Jarvis Christian College
Mathematical Modeling Of Breast Cancer Cell Mcf-7 Growths Due To Curcumin Treatments, Widodo Samyono, Hildana Assefa, Kana Kassa
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Covariant Ergodic Quantum Markov Semigroups Via Systems Of Imprimitivity,
2021
Army Research Laboratory Adelphi, MD, 20783 USA
Covariant Ergodic Quantum Markov Semigroups Via Systems Of Imprimitivity, Radhakrishnan Balu
Journal of Stochastic Analysis
No abstract provided.
Congruences Between Coefficients Of A Class Of Eta-Quotients And Their Applications To Combinatorics,
2021
Louisiana State University and Agricultural and Mechanical College
Congruences Between Coefficients Of A Class Of Eta-Quotients And Their Applications To Combinatorics, Shashika Petta Mestrige
LSU Doctoral Dissertations
Ramanujan in $1920$s discovered remarkable congruence properties of the partition function $p(n)$. Later, Watson and Atkin proved these congruences using the theory of modular forms. Atkin, Gordon, and Hughes extended these works to $k$-colored partition functions. In $2010$, Folsom-Kent-Ono and Boylan-Webb proved the congruences of $p(n)$ by studying a $\ell$-adic module associated with a certain sequence of modular functions which are related to $p(n)$.
Primary goal of this thesis is to generalize the work of Atkin, Gordon, Hughes, Folsom-Kent-Ono, and Boylan-Webb about the partition function to a larger class of partition functions. For this purpose we study a closely related …
ℂ-Motivic Modular Forms,
2021
Max-Planck-Institut für Mathematik
ℂ-Motivic Modular Forms, Bogdan Gheorghe, Daniel C. Isaksen, Achim Krause, Nicolas Ricka
Mathematics Faculty Research Publications
We construct a topological model for cellular, 2-complete, stable C-motivic homotopy theory that uses no algebro-geometric foundations.We compute the Steenrod algebra in this context, and we construct a “motivic modular forms” spectrum over ℂ.
Effectiveness And Safety Of Tranexamic Acid Use In Acute Traumatic Injury In The Prehospital And In-Hospital Settings: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials,
2021
Kendall Regional Medical Center
Effectiveness And Safety Of Tranexamic Acid Use In Acute Traumatic Injury In The Prehospital And In-Hospital Settings: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Scott Rowe, Amy Liu, Israel Zagales, Muhammad Awan, Radleigh Santos, Mark Mckenney, Adel Elkbuli
Mathematics Faculty Articles
Background and Objectives:
This systematic review and meta-analysis of randomized controlled trials (RCTs) aims to assess efficacy and safety of tranexamic acid (TXA) use in acute traumatic injuries.
Methods:
PubMed and Cochrane libraries were searched for relevant RCTs published between January 2011 and January 3, 2021. Cohen’s Q Test for heterogeneous effects was used to determine the appropriateness of fixed versus random effects models.
Results:
Twenty-two studies met inclusion criteria. Meta-analysis of relative risk of mortality between treatment and placebo groups in the in-hospital, and perioperative settings was not significant. However, the risk of mortality is significantly lower in the …
Matrix Multiplier: Cramer’S Method Calculation,
2021
University of North Dakota
Matrix Multiplier: Cramer’S Method Calculation, Haruka Kido
Electrical Engineering Student Publications
This paper is a technical report of the C++ and LabVIEW algorithms for and the underlying mathematics of The Cramer’s Method. The systemic process of the Cramer’s Method enhances the efficiency of solving matrix multiplication problems involving systems of linear equations with sets of 3 or more added or subtracted unknown variables associated with numerical coefficients. The coefficients of the system of equations generate the numbers in the matrix to be used in the replicable and formulaic computation process.
Optimal Quantization For Mixed Distributions,
2021
The University of Texas Rio Grande Valley
Optimal Quantization For Mixed Distributions, Mrinal Kanti Roychowdhury
School of Mathematical & Statistical Sciences Faculty Publications
The basic goal of quantization for probability distribution is to reduce the number of values, which is typically uncountable, describing a probability distribution to some finite set and thus approximation of a continuous probability distribution by a discrete distribution. Mixed distributions are an exciting new area for optimal quantization. In this paper, we have determined the optimal sets of n -means, the n th quantization errors, and the quantization dimensions of different mixed distributions. Besides, we have discussed whether the quantization coefficients for the mixed distributions exist. The results in this paper will give a motivation and insight into more …
De Finetti’S Theorem In Categorical Probability,
2021
University of Innsbruck, Austria
De Finetti’S Theorem In Categorical Probability, Tobias Fritz, Tomáš Gonda, Paolo Perrone
Journal of Stochastic Analysis
No abstract provided.
On 𝜃- -Closed Sets And 𝜃- -Continuous Functlons,
2021
* Faculty of Applied Sciences, Taiz University
On 𝜃- -Closed Sets And 𝜃- -Continuous Functlons, Amin Hamoud Saif, Nahid Mohammed Al-Showhati
Hadhramout University Journal of Natural & Applied Sciences
In topological spaces, the class of 𝜃-closed sets and 𝜃-continuous function have been introduced by Velicko and Fomin respectively. The purpose of this paper is to introduce and study these notions in grill topological spaces by giving the new classes of 𝜃- -closed sets and 𝜃- -continuous functions in grill topological space.
Splitting-Up Technique And Cubic Spline Approximations For Solving Modified Coupled Burgers' Equations,
2021
Faculty of Engineering, University of Aden
Splitting-Up Technique And Cubic Spline Approximations For Solving Modified Coupled Burgers' Equations, Anwar Abdulla Bassaif
Hadhramout University Journal of Natural & Applied Sciences
In this paper, a finite difference scheme based on the splitting-up technique and cubic spline approximations is developed for solving modified coupled Burgers' equations. The accuracy and stability of the scheme have been analyzed. It is found that the scheme is of first-order accuracy in time and second-order accuracy in space direction and is unconditionally stable. The numerical results are obtained with severe/moderate gradients in the initial and boundary conditions and the steady state solutions are plotted for different values of given parameters. It is concluded that the resulting scheme produces satisfactory results, even in the case of very severe …
Under Pressure: A Case Study Of The Effects Of External Pressure On Mlb Players Using Twitter Sentiment Analysis,
2021
Bryant University
Under Pressure: A Case Study Of The Effects Of External Pressure On Mlb Players Using Twitter Sentiment Analysis, Jonathan Huntley
Honors Projects in Mathematics
Performance under pressure and psychological momentum are well-documented topics in sports psychology, but most research focuses on “in-game” pressure. This study views pressure more broadly to examine how the external pressure of fans, quantified using the sentiment of tweets mentioning the players, can affect how MLB players perform. Although external pressure is intangible, it can impact a player’s psyche and performance. This investigation focuses on players Chris Sale and David Price. A new process was developed leveraging the Vader package in Python that can generate tweet sentiment to compare to several performance metrics from Baseball Reference. Results proved to be …
Why Moments (And Generalized Moments) Are Used In Statistics And Why Expected Utility Is Used In Decision Making: A Possible Explanation,
2021
The University of Texas at El Paso
Why Moments (And Generalized Moments) Are Used In Statistics And Why Expected Utility Is Used In Decision Making: A Possible Explanation, R. Noah Padilla, Vladik Kreinovich
Departmental Technical Reports (CS)
Among the most efficient characteristics of a probability distribution are its moments and, more generally, generalized moments. One of the most adequate numerical characteristics describing human behavior is expected utility. In both cases, the corresponding characteristic is the sum of results of applying appropriate nonlinear functions applied to individual inputs. In this paper, we provide a possible theoretical explanation of why such functions are efficient.
How Multi-View Techniques Can Help In Processing Uncertainty,
2021
The University of Texas at El Paso
How Multi-View Techniques Can Help In Processing Uncertainty, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
Multi-view techniques help us reconstruct a 3-D object and its properties from its 2-D (or even 1-D) projections. It turns out that similar techniques can be used in processing uncertainty -- where many problems can reduced to a similar task of reconstructing properties of a multi-D object from its 1-D projections. In this chapter, we provide an overview of these techniques.
Why Do People Become Addicted: Towards A Theoretical Explanation For Eyal's Experiment-Based Hook Model,
2021
The University of Texas at El Paso
Why Do People Become Addicted: Towards A Theoretical Explanation For Eyal's Experiment-Based Hook Model, Christopher Reyes, Vladik Kreinovich
Departmental Technical Reports (CS)
Why do people become addicted, e.g., to gambling? Experiments have shown that simple lotteries, in which we can win a small prize with a certain probability, and not addictive. However, if we add a second possibility -- of having a large prize with a small probability -- the lottery becomes highly addictive to many participants. In this paper, we provide a possible theoretical explanation for this empirical phenomenon.
