Physical Sciences and Mathematics Commons^™

Pricing Of Dependent Risks, Mark Benedikt Schultze

Theses and Dissertations

In some types of insurance businesses, such as cyber or homeowners insurance, the assumption that risks are independent is violated. Because of this, the commonly used expected value premium principle does not work. Therefore, we propose different premium principles for pricing dependent risks. We derive formulas for these principles when the risks are normally distributed, pareto distributed and each risk is an aggregate loss. Furthermore, we investigate the behavior of the different premium principles related to a change in the dependence of the risks. Additionally, we examine the impact that a parameter of one risk has on the premium for …

Anthropogenically Driven Changes To Shallow Groundwater In Southeastern Wisconsin And Its Effects On The Aquifer Microbial Communities, Madeline Jean Salo

Theses and Dissertations

This study investigates if, and to what extent, the microbial community present in the shallow groundwater of southeastern Wisconsin is affected by the influx of treated municipal wastewater effluent. The primary study area consisted of three wells located in the shallow sand and gravel aquifer along the upper Fox River in Waukesha, Wisconsin. One well is located roughly 1500 feet from the river and pumps pristine groundwater. Two riverbank inducement wells are located within 200 feet of the river and pump a mixture of groundwater and river water that contains effluent from three upstream wastewater treatment plants. Water from all …

Hermite Interpolation In The Treecode Algorithm, Benjamin St. Aubin

Theses and Dissertations

In this thesis, a treecode implementing Hermite interpolation is constructed to approximate a summation of pairwise interactions on large data sets. Points are divided into a hierarchical tree structure and the interactions between points and well-separated clusters are approximated by interpolating the kernel function over the cluster. Performing the direct summation takes O(N^2) time for system size N, and evidence is presented to show the method presented in this paper scales with O(N logN) time. Comparisons between this method and existing ones are made, highlighting the relative simplicity and adaptability of this process. Parallelization of the computational step is implemented …

Stability Analysis For The Equilibria Of A Monkeypox Model, Rachel Elizabeth Tewinkel

Theses and Dissertations

Monkeypox virus was first identified in 1958 and has since been an ongoing problem in Central and Western Africa. Although the smallpox vaccine provides partial immunity against monkeypox, the number of cases has greatly increased since the eradication of smallpox made its vaccination unnecessary. Although studied by epidemiologists, monkeypox has not been thoroughly studied by mathematicians to the extent of other serious diseases. Currently, to our knowledge, only three mathematical models of monkeypox have been proposed and studied. We present the first of these models, which is related to the second, and discuss the global and local asymptotic stability of …

Part I: An Investigation Of Calcitroic Acid And Its Phase Ii Conjugates. Part Ii: Toward The Development Of A Novel Orally-Available Asthma Treatment Targeting Gabaa Receptors In The Lungs, Olivia B. Yu

Theses and Dissertations

PART I

Calcitroic acid (CTA) was isolated and characterized more than four decades ago.5 Radiolabeled calcitriol (1,25-dihydroxyvitamin D3) was used at that time to enable the identification of radioactive CTA formed in vivo, which was subsequently extracted and characterized by derivatization.7 CTA was found to be predominantly formed in the liver and secreted into the gut through the bile duct via enterohepatic circulation, leading to fairly high concentrations of this metabolite of vitamin D in the intestine.8 However, assuming it was only a catabolic product of calcitriol, it was ignored thereafter.

Recently, novel experiments showed that CTA can bind the …

Using Evolutionary Programming To Generate A Tropical Cyclone Intensity Model, Jesse Schaffer

Theses and Dissertations

An innovative statistical-dynamical tropical cyclone (TC) intensity model is developed from a large ensemble of algorithms through evolutionary programming (EP). EP mimics the evolutionary principles of genetic information, reproduction, and mutation to develop through selective pressure a population of algorithms with skillful predictor combinations. From this process the 100 most skillful algorithms as determined by root-mean square error on cross-validation data is kept and bias corrected. Bayesian model combination is then used to assign individual weights to a subset of ten algorithms from the 100 best algorithms list, which are chosen to minimize mean-absolute error (MAE) and maximize mean-absolute difference …

Deep Learning Applications In Medical Image And Shape Analysis, Jingtao Yang

Theses and Dissertations

Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely used for feature extraction and recognition in various applications. The training process as a black-box utilizes deep neural networks, whose parameters are adjusted by minimizing the difference between the predicted feedback and labeled data (so-called training dataset). The trained model is then applied to unknown inputs to predict the results that mimic human's decision-making. This technology has found tremendous success in many fields involving data analysis such as images, shapes, texts, audio and video signals and …

The Design And Optimization Of Jet-In-Cross-Flow (Jicf) For Engineering Applications: Thermal Uniformity In Gas-Turbines And Cavitation Treatment In Hydro-Turbines, Tarek Mahmoud Mohammed Elgammal

Theses and Dissertations

Jet-in-cross-flow (JICF) is a well-known term in thermal flows field. Ranging from the normal phenomenon like the volcano ash and dust plumes to the designed film cooling and air fuel mixing for combustion, JICF is always studied to understand its nature at different conditions. Realizing the behavior of interacting flows and importance of many variables lead to the process of reiterating the shapes and running conditions for better outcomes or minimizing the losses. Summarizing the process under the name of optimization, two JICF applications are analyzed based on the principles of thermodynamics and fluid mechanics, then some redesigns are proposed …

Measuring Deterministic And Stochastic Gravitational Waves With Pulsar Timing Array Experiments, Kristina Islo

Theses and Dissertations

Pulsar timing arrays (PTAs) are uniquely poised to detect the nanohertz-frequency gravitational waves from supermassive black hole binaries (SMBHBs) formed during galaxy merger. Efforts are underway to observe three species of gravitational signal from these systems: the stochastic ensemble, individual, adiabatic binary inspirals, and bursts with memory. This dissertation discusses all three.

A typical Bayesian search for evidence of a stochastic gravitational wave background from the superposition of many unresolvable SMBHB inspirals requires weeks to months to deliver results. This is due in part to the inclusion of inter-pulsar spatial and temporal correlations induced in PTA data by such a …

Part I: Design And Synthesis Of Novel Drugs To Treat Asthma By Targeting Gabaa Receptors In The Lung Part Ii: Design And Synthesis Of Novel Α2/Α3 Subtype Selective Gabaar Ligands For Cns Disorders, Rajwana Jahan

Theses and Dissertations

Part I. Asthma is a major healthcare challenge affecting an estimated 300 million people globally. Over $56 billion in asthma-related healthcare expenses occur in the United States annually. Moreover, asthma accounts for the majority of missed school/work days, Doctor and emergency room visits, and patient hospitalizations in young persons. Consequently, asthma continues to be a significant healthcare burden in terms of morbidity, productivity, and medical costs. Beta 2-adrenergic agonists and inhaled corticosteroids (ICs) are the most commonly prescribed treatments for the acute and chronic management of asthma. Both agents present efficacy, compliance, and adverse side effect concerns.

Hence, there is …

A Real-Time Approach To Process Monitoring Of Heavy Metals: Spectrophotometric Characterization And Application Of Novel Azo, Joseph Timothy Labeots

Theses and Dissertations

I will describe studies in developing an on-line system for process monitoring that is based upon spectrophotometric methods. Heavy metals that are discarded into the environment may pose severe threats to public health, and are thus heavily regulated. Currently, there is no reasonably affordable, reliable, real-time monitoring method for heavy metals in water. This lack of feedback for industrial applications often leads to wasted resources due to massive overtreatment to avoid costly penalties. Spectrophotometry is a viable analysis option assuming a suitable sensor molecule is available as seemingly conflicting requirements may occur. Characterization of the sensor is one of the …

The Assessment Of Technology Adoption Interventions And Outcome Achievement Related To The Use Of A Clinical Research Data Warehouse, Katie A. Mccarthy

Theses and Dissertations

Introduction: While funding for research has declined since 2004, the need for rapid, innovative, and lifesaving clinical and translational research has never been greater due to the rise in chronic health conditions, which have resulted in lower life expectancy and higher rates of mortality and adverse outcomes. Finding effective diagnostic and treatment methods to address the complex challenges in individual and population health will require a team science approach, creating the need for multidisciplinary collaboration among practitioners and researchers.

To address this need, the National Institutes of Health (NIH) created the Clinical and Translational Science Awards (CTSA) program. The CTSA …

Active Polymeric Materials For 3d Shaping And Sensing, Adebola Oyefusi

Theses and Dissertations

Part I: Reprogrammable Chemical 3D Shaping for Origami, Kirigami, and Reconfigurable Molding

Origami- and kirigami-based design principles have recently received strong interest from the scientific and engineering communities because they offer fresh approaches to engineering of structural hierarchy and adaptive functions in materials, which could lead to many promising applications. Herein, we present a reprogrammable 3D chemical shaping strategy for creating a wide variety of stable complex origami and kirigami structures autonomously. This strategy relies on a reverse patterning method that encodes prescribed 3D geometric information as a spatial pattern of the unlocked phase (dispersed phase) in the locked phase …

A Conceptual Modeling Framework For Hydrological Ecosystem Services And Its Application To The Impacts Of Climate Change And Urban Expansion, Feng Pan

Theses and Dissertations

Ecosystem services (ESs) are used as intermediates for researchers, stakeholders, and the public to understand and deal with the current environmental situation and problems, and ESs-related studies have drawn increasing attention. The quantitative assessments of ESs to calculate how much the ecosystem can benefit human beings and society, are still under development. Hydrological ESs, a subset of ESs that is related to water bodies and the surrounding environment, carry several challenges and opportunities for both hydrological and ESs modeling. Specifically, new quantitative tools with the capability to simulate explicit spatial and temporal scales are desired, and such tools should be …

Identifying And Incorporating Driver Behavior Variables Into Crash Prediction Models, Mohammad Razaur Rahman Shaon

Theses and Dissertations

All travelers are exposed to the risk for crashes on the road, as none of the roadways are entirely safe. Under Vision Zero, improving traffic safety on our nation’s highways is and will continue to be one of the most pivotal tasks on the national transportation agenda. For decades, researchers and transportation professionals have strived to identify causal relationships between crash occurrence and roadway geometry, and traffic-related variables on the mission of creating a safe environment for the traveling public. Although great achievements have been witnessed such as the publication of the Highway Safety Manual (HSM), research is rather limited …

Predicting Hospital Length Of Stay In Intensive Care Unit, Namita Singh

Theses and Dissertations

In this thesis, we investigate the performance of a series of classification methods for the

Prediction of the hospital Length of Stay (LoS) in Intensive Care Unit (ICU). Predicting

LOS for an inpatient in an hospital is a challenging task but is essential for the operational

success of a hospital. Since hospitals are faced with severely limited resources including

beds to hold admitted patients, prediction of LoS will assist the hospital staff for better

planning and management of hospital resources. The goal of this project is to create a

machine learning model that predicts the length-of stay for each patient …

Part I: An Investigation Of Calcitroic Acid And Its Phase Ii Conjugates. Part Ii: Toward The Development Of A Novel Orally-Available Asthma Treatment Targeting Gabaa Receptors In The Lungs, Olivia B. Yu

Theses and Dissertations

PART I

Calcitroic acid (CTA) was isolated and characterized more than four decades ago.5 Radiolabeled calcitriol (1,25-dihydroxyvitamin D3) was used at that time to enable the identification of radioactive CTA formed in vivo, which was subsequently extracted and characterized by derivatization.7 CTA was found to be predominantly formed in the liver and secreted into the gut through the bile duct via enterohepatic circulation, leading to fairly high concentrations of this metabolite of vitamin D in the intestine.8 However, assuming it was only a catabolic product of calcitriol, it was ignored thereafter.

Recently, novel experiments showed that CTA can bind the …

Deep Learning Applications In Medical Image And Shape Analysis, Jingtao Yang

Theses and Dissertations

Deep learning is one of the most rapidly growing fields in computer and data science in the past few years. It has been widely used for feature extraction and recognition in various applications. The training process as a black-box utilizes deep neural networks, whose parameters are adjusted by minimizing the difference between the predicted feedback and labeled data (so-called training dataset). The trained model is then applied to unknown inputs to predict the results that mimic human's decision-making. This technology has found tremendous success in many fields involving data analysis such as images, shapes, texts, audio and video signals and …

Novel Non-Invasive Technology For The Detection Of Thin Biofilm In Piping Systems (Phase - 1), Sachin Davis

Theses and Dissertations

Biofilms are formed when a group of cells of microorganisms stick to each other and often on a surface. The development of biofilm has been a major issue in many fields (medical field, food, chemical, and water industry are a few such fields). In the medical field alone, biofilm infections have reportedly cost over five billion USD in additional healthcare expenses. The food industry usually halts the operation of its plant eight hours, every day to ensure that their equipment and transportation channels are clean and free from any biofilm presence. Similarly, the water and chemical industry need to ensure …

Green Energy At Any Cost: How Ethanol Producer Magazine Uses Science To Frame Ethanol Production, Ashley Kappers

Theses and Dissertations

This thesis investigates the use of science by media to shape discussions about policy in society. Specifically, it investigates how one influential trade publication, Ethanol Producer Magazine, used science in its construction of pro-ethanol production stories. This study is a multi-method analysis of Ethanol Producer Magazine’s feature articles. To determine how sources and writers use science to frame ethanol production during policy changes in the industry, 36 feature stories from four issues in 2009 and 2010 of Ethanol Producer Magazine were analyzed. The results of this study found that Ethanol Producer Magazine is a publication that presents one side of …

Optical Fiber Communication With Vortex Modes, Du'a Al-Zaleq

Theses and Dissertations

Internet data traffic’s capacity is rapidly reaching limits imposed by optical fiber nonlinearities [5]. Optical vortices appear in high order fiber optical mode. In this thesis, we consider multimode fibers (MMFs) that are capable of transmitting a few vortex modes. Certain types of fibers have a spatial dimension leads to space-division-multiplexing (SDM), where information is transmitted with cores of multicore fibers (MCFs) or mode-division-multiplexing (MDM), where information is transmitted via different modes of multimode fibers (MMFs). SDM by employing few-mode fibers in optical networks is expected to efficiently enhance the capacity and overcome the capacity crunch owing to fast increasing …