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Articles 721 - 750 of 7988
Full-Text Articles in Physical Sciences and Mathematics
Decision Making Under Uncertainty With A Special Emphasis On Geosciences And Education, Laxman Bokati
Decision Making Under Uncertainty With A Special Emphasis On Geosciences And Education, Laxman Bokati
Open Access Theses & Dissertations
In many practical situations, we need to make a decision. In engineering, we need to decideon the best design of a system, and, for existing systems - on the best control strategy. In financial applications, we need to decide what is the best way to invest money. In geosciences, we need to decide whether we should explore a possible mineral deposit - or whether we should perform more experiments and measurements (and what exactly). In some cases, we can compute the exact consequences of each decision - e.g., if we are controlling a satellite. However, in many other cases, we …
Lyubeznik Numbers Of Unmixed Edge Ideals, Sara Rae Jones
Lyubeznik Numbers Of Unmixed Edge Ideals, Sara Rae Jones
Graduate Theses and Dissertations
Lyubeznik numbers, defined in terms of local cohomology, are invariants of local rings that are able to detect many algebraic and geometric properties. Notably they recognize topological behaviors of various structures associated to their rings. We will discuss computations of these numbers for unmixed edge ideals by giving a completely combinatorial construction which realizes the connectedness information captured by these numbers.
On Clinical Use Of Infrared Cameras For Video-Based Estimation Of 3d Facial Kinematics, William Mackenzie Harrington
On Clinical Use Of Infrared Cameras For Video-Based Estimation Of 3d Facial Kinematics, William Mackenzie Harrington
Theses and Dissertations
Neurological and neurodegenerative disorders such as Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and stroke can cause speech and orofacial motor impairments with devastating effects on quality of life. Analysis of orofacial movement provides vital information for early diagnosis and tracking disease progression, but current clinical practice relies on perceptual assessments performed by clinicians, which are unreliable and insensitive to early symptoms. New methods in machine learning have enabled automatic and objective assessment of orofacial kinematics from color and depth videos, hence we introduce MEADepthCamera, a mobile application for RGB-D video and audio recording and automatic estimation of 3D facial …
Meshfree Methods For Pdes On Surfaces, Andrew Michael Jones
Meshfree Methods For Pdes On Surfaces, Andrew Michael Jones
Boise State University Theses and Dissertations
This dissertation focuses on meshfree methods for solving surface partial differential equations (PDEs). These PDEs arise in many areas of science and engineering where they are used to model phenomena ranging from atmospheric dynamics on earth to chemical signaling on cell membranes. Meshfree methods have been shown to be effective for solving surface PDEs and are attractive alternatives to mesh-based methods such as finite differences/elements since they do not require a mesh and can be used for surfaces represented only by a point cloud. The dissertation is subdivided into two papers and software.
In the first paper, we examine the …
Kinetic Simulations Of Active Nematic Polymers In Channel Flow, Lacey Savoie Schenk
Kinetic Simulations Of Active Nematic Polymers In Channel Flow, Lacey Savoie Schenk
Mathematics & Statistics Theses & Dissertations
Suspensions of active nematic liquid crystalline polymers exhibit complex phenomena such as spontaneous flows, pattern formations, and defects. They have many applications in industry, commercial settings, and our daily lives. We employ the Kinetic Model for our research, an extensive model that couples the Smoluchowski Equation and the incompressible Navier-Stokes Equations to solve for the active nanorod number density function–a function dependent on the polymer’s physical orientation and space at a given time. Using this function, we can derive the polymer’s polarity and nematic orientations as well as other rheological properties. In this research, we conduct numerical simulations of active, …
Statistical Methods For Meta-Analysis In Large-Scale Genomic Experiments, Wimarsha Thathsarani Jayanetti
Statistical Methods For Meta-Analysis In Large-Scale Genomic Experiments, Wimarsha Thathsarani Jayanetti
Mathematics & Statistics Theses & Dissertations
Recent developments in high throughput genomic assays have opened up the possibility of testing hundreds and thousands of genes simultaneously. With the availability of vast amounts of public databases, researchers tend to combine genomic analysis results from multiple studies in the form of a meta-analysis. Meta-analysis methods can be broadly classified into two main categories. The first approach is to combine the statistical significance (pvalues) of the genes from each individual study, and the second approach is to combine the statistical estimates (effect sizes) from the individual studies. In this dissertation, we will discuss how adherence to the standard null …
Atlantic Surfclam (Spisula Solidissima) Population Demographics And Distribution Along The Middle Atlantic Bight, Mauricio González Díaz
Atlantic Surfclam (Spisula Solidissima) Population Demographics And Distribution Along The Middle Atlantic Bight, Mauricio González Díaz
OES Theses and Dissertations
The Atlantic surfclam (Spisula solidissima) is a long-lived benthic biomass dominant organism that occurs on the Middle Atlantic Bight (MAB) continental shelf between 10 m and 50 m. Trends in Atlantic surfclam population specific growth and mortality rates were analyzed using four decades of age and length observations obtained from NOAA stock surveys from the 1980s to 2010s in six regions distributed along the MAB. Atlantic surfclam specific growth rates and asymptotic lengths were estimated from the age and length observations using the von Bertalanffy growth model. The analysis showed that the Atlantic surfclam median asymptotic length in …
Response Of Planetary Waves And Tides To The 2019 Southern Hemisphere Ssw And Q2dw Enhancement In Jan-Feb 2020 Observed By Condor Meteor Radar In Chile And Adelaide Meteor Radar In Australia, Alan Liu, Zishun Qiao, Iain Reid, Javier Fuentes, Chris Adami
Response Of Planetary Waves And Tides To The 2019 Southern Hemisphere Ssw And Q2dw Enhancement In Jan-Feb 2020 Observed By Condor Meteor Radar In Chile And Adelaide Meteor Radar In Australia, Alan Liu, Zishun Qiao, Iain Reid, Javier Fuentes, Chris Adami
Publications
A new multi-static meteor radar (CONDOR) has recently been installed in northern Chile. This CONDOR meteor radar (30.3°S, 70.7°W) and the Adelaide meteor radar (35°S, 138°E) have provided longitudinally spaced observations of the mean winds, tides and planetary waves of the PW-tides interaction cases we present here. We have observed a Quasi-6-Day Wave (Q6DW) enhancement in MLT winds at the middle latitudes (30.3°S, 35°S) during the unusual minor South Hemisphere SSW 2019 by the ground-based meteor radars. Tidal analysis also indicates modulation of the Q6DW w/ amplitude ~15 [m/s] and diurnal tides w/ amplitude ~60 [m/s]. Another case we present …
Convexity Of Regularized Optimal Transport Dissimilarity Measures For Signed Signals, Christian P. Fowler
Convexity Of Regularized Optimal Transport Dissimilarity Measures For Signed Signals, Christian P. Fowler
Mathematics & Statistics ETDs
Debiased Sinkhorn divergence (DS divergence) is a distance function of
regularized optimal transport that measures the dissimilarity between two
probability measures of optimal transport. This thesis analyzes the advantages of
using DS divergence when compared to the more computationally expensive
Wasserstein distance as well as the classical Euclidean norm. Specifically, theory
and numerical experiments are used to show that Debiased Sinkhorn divergence
has geometrically desirable properties such as maintained convexity after data
normalization. Data normalization is often needed to calculate Sinkhorn
divergence as well as Wasserstein distance, as these formulas only accept
probability distributions as inputs and do not directly …
Statistical Methods For Differential Gene Expression Analysis Under The Case-Cohort Design, Lidong Wang
Statistical Methods For Differential Gene Expression Analysis Under The Case-Cohort Design, Lidong Wang
Mathematics & Statistics ETDs
Differential gene expression analysis has the potential to discover candidate biomarkers, therapeutic targets, and gene signatures. How to save money when using an unaffordable sample is a practical question. The case-cohort (CCH) study design can blend the economy of case-control studies with the advantages of cohort studies. But it has not been seen in the medical research literature where high-throughput genomic data were involved.
A score test does not need to fit the Cox PH model iteratively; hence, it can save computing time and avoid potential convergence issues. We developed a score test under the CCH design to identify DEGs …
Solving Mathematical Epidemiology Models Via Neural Nets Tuned By Mesh Adaptive Direct Search, Muhammad Jalil Ahmad
Solving Mathematical Epidemiology Models Via Neural Nets Tuned By Mesh Adaptive Direct Search, Muhammad Jalil Ahmad
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Solving Clostridioides Difficile: Mathematical Models Of Transmission And Control In Healthcare Settings, Cara Sulyok, Max Lewis, Laila Mahrat, Brittany Stephenson, Malen De La Fuente Arruabarrena, David Kovalev, Justyna Sliwinska
Solving Clostridioides Difficile: Mathematical Models Of Transmission And Control In Healthcare Settings, Cara Sulyok, Max Lewis, Laila Mahrat, Brittany Stephenson, Malen De La Fuente Arruabarrena, David Kovalev, Justyna Sliwinska
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Substrate Transport In Cylindrical Multi-Capillary Beds With Axial Diffusion, Liang Sun, Eric Choi
Substrate Transport In Cylindrical Multi-Capillary Beds With Axial Diffusion, Liang Sun, Eric Choi
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
An Implementation Of The Method Of Moments On Chemical Systems With Constant And Time-Dependent Rates, Emmanuel Adara
An Implementation Of The Method Of Moments On Chemical Systems With Constant And Time-Dependent Rates, Emmanuel Adara
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Comparison Of Assessment And Teaching Modalities For A Quantitative Biology Course, Dmitry Kondrashov
Comparison Of Assessment And Teaching Modalities For A Quantitative Biology Course, Dmitry Kondrashov
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Physics-Informed Neural Networks For Informed Vaccine Distribution In Heterogeneously Mixed Populations, Alvan Arulandu, Padmanabhan Seshaiyer
Physics-Informed Neural Networks For Informed Vaccine Distribution In Heterogeneously Mixed Populations, Alvan Arulandu, Padmanabhan Seshaiyer
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Humanizing Mathematical Biology Research And Education, Carrie Diaz Eaton, Ognyan Simeonov
Humanizing Mathematical Biology Research And Education, Carrie Diaz Eaton, Ognyan Simeonov
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Mathematical Model For Understanding And Predicting Dynamics Of Depression As An Epidemic, Bianca Linares
A Mathematical Model For Understanding And Predicting Dynamics Of Depression As An Epidemic, Bianca Linares
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling Our World With Mathematics: Incorporating Math Modeling Into A General Education Curriculum, Brittany Stephenson
Modeling Our World With Mathematics: Incorporating Math Modeling Into A General Education Curriculum, Brittany Stephenson
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Effect Of Vaccine Misinformation On Disease Spread, Anthony Delegge, Yina Wang
The Effect Of Vaccine Misinformation On Disease Spread, Anthony Delegge, Yina Wang
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
One-Point Gleason Parts And Point Derivations In Uniform Algebras, Swarup Ghosh, Alexander J. Izzo
One-Point Gleason Parts And Point Derivations In Uniform Algebras, Swarup Ghosh, Alexander J. Izzo
Faculty Articles & Research
It is shown that a uniform algebra can have a nonzero bounded point derivation while having no nontrivial Gleason parts. Conversely, a uniform algebra can have a nontrivial Gleason part while having no nonzero, even possibly unbounded, point derivations.
Immuno-Epidemiological Model Of Hiv And Opioid Epidemics, Churni Gupta, Necibe Tuncer, Maia Martcheva
Immuno-Epidemiological Model Of Hiv And Opioid Epidemics, Churni Gupta, Necibe Tuncer, Maia Martcheva
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modularity And Boolean Network Decomposition, Matthew Wheeler
Modularity And Boolean Network Decomposition, Matthew Wheeler
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Stochastic Models Of Zoonotic Avian Influenza With Multiple Hosts, Environmental Transmission, And Migration In The Natural Reservoir, Kaia Smith
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Sentiment Analysis In Application To Behavior Prediction, Anna Singley
Sentiment Analysis In Application To Behavior Prediction, Anna Singley
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
On Analysis Of Effectiveness Controlling Covid-19 With Quarantine And Vaccination Compartments In Indonesia, Prihantini Prihantini
On Analysis Of Effectiveness Controlling Covid-19 With Quarantine And Vaccination Compartments In Indonesia, Prihantini Prihantini
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling The Effects Of Media Awareness On Sars-Cov-2 Transmission In Georgia, Eric Numfor
Modeling The Effects Of Media Awareness On Sars-Cov-2 Transmission In Georgia, Eric Numfor
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Nonlinearity Of Regulation In Biological Networks, Santosh Manicka, Kathleen Johnson, Michael Levin, David Murrugarra
The Nonlinearity Of Regulation In Biological Networks, Santosh Manicka, Kathleen Johnson, Michael Levin, David Murrugarra
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Discrete Introduction To Mathematical Modeling: Lessons Learned From Introducing (Bio)Mathematical Modeling Through Difference Equations, Erin N. Bodine
A Discrete Introduction To Mathematical Modeling: Lessons Learned From Introducing (Bio)Mathematical Modeling Through Difference Equations, Erin N. Bodine
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modularity In Gene Regulatory Networks, Mehak Kapoor, Claus Kadelka
Modularity In Gene Regulatory Networks, Mehak Kapoor, Claus Kadelka
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.