Open Access. Powered by Scholars. Published by Universities.®
Numerical Analysis and Scientific Computing Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Mathematics (3)
- Artificial Intelligence and Robotics (2)
- Data Science (2)
- Life Sciences (2)
- Other Applied Mathematics (2)
-
- Political Science (2)
- Social and Behavioral Sciences (2)
- Statistics and Probability (2)
- American Politics (1)
- Applied Statistics (1)
- Bioinformatics (1)
- Biomedical Engineering and Bioengineering (1)
- Categorical Data Analysis (1)
- Climate (1)
- Education (1)
- Engineering (1)
- Higher Education and Teaching (1)
- Mathematics (1)
- Models and Methods (1)
- Oceanography and Atmospheric Sciences and Meteorology (1)
- Optics (1)
- Other Mathematics (1)
- Other Statistics and Probability (1)
- Physics (1)
- Physiology (1)
- Programming Languages and Compilers (1)
- Science and Mathematics Education (1)
- Keyword
-
- Algorithms and Analysis of Algorithms (1)
- Art (1)
- Artifica lIntelligence (1)
- Bayesian analysis (1)
- Bi-connectivity (1)
-
- Bootstrap simulation (1)
- Computational algebraic topology (1)
- Computer models (1)
- Data Science (1)
- Deep Learning (1)
- Graph Theory and RNA Secondary Structures (1)
- Homology (1)
- Hybrid quantum-classical framework (1)
- Large language models (1)
- Mathematics (1)
- Partitioning (1)
- Positive rate dependence (1)
- Potassium ion channels (1)
- Presidential election forecast (1)
- Probability to win the White House (1)
- Programming (1)
- Pseudoknots (1)
- Quantum computing (1)
- Quantum machine learning (1)
- Quantum opti mization (1)
- Scientific Computing and Simulation (1)
- Simulation of electoral votes distri- bution (1)
- TensorFlow (1)
- Using R in education (1)
- Visualizations (1)
- File Type
Articles 1 - 9 of 9
Full-Text Articles in Numerical Analysis and Scientific Computing
Optical Response Of 3d Model Topological Nodal-Line Semimetal, Sita Kandel, Godfrey Gumbs, Oleg L. Berman
Optical Response Of 3d Model Topological Nodal-Line Semimetal, Sita Kandel, Godfrey Gumbs, Oleg L. Berman
Publications and Research
Wepresent a semi-analytical expression for both longitudinal and transverse optical conductivities of a model TNLSM employing the Kubo formula with emphasis on the optical spectral weight redistribution, deduced from appropriate Green’s func tions. In this semimetal, the conduction and valence bands cross each other along a one- dimensional curve protected by certain symmetry group in the 3D Brillouin zone. Although the crossing cannot be removed by any perturbations, it can be adjusted by continuous tuning of the Hamiltonian with a parameter α. When α>0, the two bands cross each other near the Γ point in the (kx,ky) plane of …
Positive Rate-Dependent Action Potential Prolongation By Modulating Potassium Ion Channels, Candido Cabo
Positive Rate-Dependent Action Potential Prolongation By Modulating Potassium Ion Channels, Candido Cabo
Publications and Research
Pharmacological agents that prolong action potential duration (APD) to a larger extent at slow rates than at the fast excitation rates typical of ventricular tachycardia exhibit reverse rate dependence. Reverse rate dependence has been linked to the lack of efficacy of class III agents at preventing arrhythmias because the doses required to have an anti-arrhythmic effect at fast rates may have pro-arrhythmic effects at slow rates due to an excessive APD prolongation. In this report we show that, in computer models of the ventricular action potential, APD prolongation by accelerating phase 2 repolarization (by increasing IKs) and decelerating …
Analyze And Examine Wildfire Events In California, Aleena Hoodith, Sakim Zaman, Safoan Hossain, Jiehao Huang
Analyze And Examine Wildfire Events In California, Aleena Hoodith, Sakim Zaman, Safoan Hossain, Jiehao Huang
Publications and Research
•A wildfire is an unplanned, unwanted, uncontrolled fire in an area of combustible vegetation starting in rural areas and urban areas. •Recent studies have shown that the effect of anthropogenic climate change has fueled the wildfire events, leading to an increase in the annual burned areas and number of events. •California is one of the places having the most deadliest and destructive wildfire seasons. With the global warming effect of 1°C since 1850, the 20 largest wildfires events that have occurred in California, 8 of them were in 2017. (Center For Climate And Energy Solutions) •Climate change is primarily caused …
Graph-Theoretic Partitioning Of Rnas And Classification Of Pseudoknots-Ii, Louis Petingi
Graph-Theoretic Partitioning Of Rnas And Classification Of Pseudoknots-Ii, Louis Petingi
Publications and Research
Dual graphs have been applied to model RNA secondary structures with pseudoknots, or intertwined base pairs. In previous works, a linear-time algorithm was introduced to partition dual graphs into maximally connected components called blocks and determine whether each block contains a pseudoknot or not. As pseudoknots can not be contained into two different blocks, this characterization allow us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, while keeping these sub-structures intact. Moreover we have extended the partitioning algorithm by classifying a pseudoknot as either recursive or non-recursive in order to continue with our research …
Decision Tree For Predicting The Party Of Legislators, Afsana Mimi
Decision Tree For Predicting The Party Of Legislators, Afsana Mimi
Publications and Research
The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.
An Algorithm For Calculating Top-Dimensional Bounding Chains, J. Frederico Carvalho, Mikael Vejdemo-Johansson, Danica Kragic, Florian T. Pokorny
An Algorithm For Calculating Top-Dimensional Bounding Chains, J. Frederico Carvalho, Mikael Vejdemo-Johansson, Danica Kragic, Florian T. Pokorny
Publications and Research
We describe the Coefficient-Flow algorithm for calculating the bounding chain of an (n-1)-boundary on an n-manifold-like simplicial complex S. We prove its correctness and show that it has a computational time complexity of O(|S(n−1)|) (where S(n−1) is the set of (n-1)-faces of S). We estimate the big-O coefficient which depends on the dimension of S and the implementation. We present an implementation, experimentally evaluate the complexity of our algorithm, and compare its performance with that of solving the underlying linear system.
Predicting The Next Us President By Simulating The Electoral College, Boyan Kostadinov
Predicting The Next Us President By Simulating The Electoral College, Boyan Kostadinov
Publications and Research
We develop a simulation model for predicting the outcome of the US Presidential election based on simulating the distribution of the Electoral College. The simulation model has two parts: (a) estimating the probabilities for a given candidate to win each state and DC, based on state polls, and (b) estimating the probability that a given candidate will win at least 270 electoral votes, and thus win the White House. All simulations are coded using the high-level, open-source programming language R. One of the goals of this paper is to promote computational thinking in any STEM field by illustrating how probabilistic …
Comparing Tensorflow Deep Learning Performance Using Cpus, Gpus, Local Pcs And Cloud, John Lawrence, Jonas Malmsten, Andrey Rybka, Daniel A. Sabol, Ken Triplin
Comparing Tensorflow Deep Learning Performance Using Cpus, Gpus, Local Pcs And Cloud, John Lawrence, Jonas Malmsten, Andrey Rybka, Daniel A. Sabol, Ken Triplin
Publications and Research
Deep learning is a very computational intensive task. Traditionally GPUs have been used to speed-up computations by several orders of magnitude. TensorFlow is a deep learning framework designed to improve performance further by running on multiple nodes in a distributed system. While TensorFlow has only been available for a little over a year, it has quickly become the most popular open source machine learning project on GitHub. The open source version of TensorFlow was originally only capable of running on a single node while Google’s proprietary version only was capable of leveraging distributed systems. This has now changed. In this …
Creating Art Patterns With Math And Code, Boyan Kostadinov
Creating Art Patterns With Math And Code, Boyan Kostadinov
Publications and Research
The goal of this talk is to showcase some visualization projects that we developed for a 3-day Code in R summer program, designed to inspire the creative side of our STEM students by engaging them with computational projects that we developed with the purpose of mixing calculus level math and code to create complex geometric patterns. One of the goals of this program was to attract more minority and female students into applied math and computer science majors.
The projects are designed to be implemented using the high-level, open-source and free computational environment R, a popular software in industry for …