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Fast Summarizing Algorithm For Polygonal Statistics Over A Regular Grid, Scott Haag, David G. Tarboton, Martyn Smith, Ali Shokoufandeh May 2020

Fast Summarizing Algorithm For Polygonal Statistics Over A Regular Grid, Scott Haag, David G. Tarboton, Martyn Smith, Ali Shokoufandeh

Publications

We describe a data structure and associated algorithm called Fast Zonal Statistics (FZS) for the retrieval of the summary characteristics of an arbitrary polygon derived from a regular grid. The FZS algorithm can return numerical (e.g., mean, sum, and count) attributes for a polygonal object over a regular grid (e.g., raster data model). The computational complexity of the FZS algorithm is constant in relation to the length of the polygon perimeter. This contrasts with existing approaches which scale in relation to the polygon area, therefore we expect and measure geometric decreases in execution time using the proposed approach for simple …

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Exploring The Phenomenon Of Distance In Children's Interactions With Touchscreen Digital Mathematics Games, Stephen I. Tucker, Patricia S. Moyer-Packenham May 2020

Exploring The Phenomenon Of Distance In Children's Interactions With Touchscreen Digital Mathematics Games, Stephen I. Tucker, Patricia S. Moyer-Packenham

Teacher Education and Leadership Faculty Publications

This study examines the construct of distance – the degree of difficulty of interacting with something – as part of activity involving children using touchscreen digital games to learn mathematics. Ten fifth-grade children engaged in video-recorded semi-structured task-based interviews in which they used two touchscreen digital mathematics games on a touchscreen tablet and responded to semi-structured follow-up questions. Qualitative data analysis was iterative, featuring analytic memoing and eclectic coding techniques to identify themes related to distance. In advanced coding stages, magnitude coding was used to characterize the degree of distance present. Findings provide evidence of the presence of distance, changes …

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Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian May 2020

Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (Ts and Tc) to estimate surface energy fluxes including Rn, H, LE, and G. The estimation of Ts and Tc components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely …

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To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian May 2020

To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (ustar), and wind speed, all of which influence the dimensions and orientation of the footprint. The …

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Machine Learning-Based Signal Degradation Models For Attenuated Underwater Optical Communication Oam Beams, Patrick L. Neary, Abbie T. Watnik, K. Peter Judd, James R. Lindle, Nicholas S. Flann May 2020

Machine Learning-Based Signal Degradation Models For Attenuated Underwater Optical Communication Oam Beams, Patrick L. Neary, Abbie T. Watnik, K. Peter Judd, James R. Lindle, Nicholas S. Flann

Computer Science Faculty and Staff Publications

Signal attenuation in underwater communications is a problem that degrades classification performance. Several novel CNN-based (SMART) models are developed to capture the physics of the attenuation process. One model is built and trained using automatic differentiation and another uses the radon cumulative distribution transform. These models are inserted in the classifier training pipeline. It is shown that including these attenuation models in classifier training significantly improves classification performance when the trained model is tested with environmentally attenuated images. The improved classification accuracy will be important in future OAM underwater optical communication applications.

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Strong Temporal Variability In Methane Fluxes From Natural Gas Well Pad Soils, Seth N. Lyman, Huy N. Q. Tran, Marc L. Mansfield, Ric Bowers, Ann Smith May 2020

Strong Temporal Variability In Methane Fluxes From Natural Gas Well Pad Soils, Seth N. Lyman, Huy N. Q. Tran, Marc L. Mansfield, Ric Bowers, Ann Smith

Bingham Research Center

We measured methane and carbon dioxide fluxes at natural gas well pad soils and undisturbed soils in the Rocky Mountain and Gulf Coast regions of the United States, including producing and gas storage wells. We collected both short-term (15 min) and multi-day (between 3 and 8), continuous measurements at 47 well pads and two undisturbed locations. Methane fluxes varied by more than an order of magnitude over periods as short as 30 min (e.g., 19–593 mg m−2 h−1 in one instance), and diurnal and seasonal variability was also significant (e.g., spring-to-fall change from 509 to 14174 mg m …

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Profiles In Practice: Stories Of Paleontology Within An Online, Scientific Community, Lisa Lundgren, Kent J. Crippen, Richard T. Bex Ii May 2020

Profiles In Practice: Stories Of Paleontology Within An Online, Scientific Community, Lisa Lundgren, Kent J. Crippen, Richard T. Bex Ii

Instructional Technology and Learning Sciences Faculty Publications

The Community of Practice framework has been used theoretically and empirically to describe the diverse ways people learn from one another through social interaction in a variety of specific contexts. To date, most research of this genre has favored investigating the community and domain constructs of the theory over the authentic practice construct. Those interested in recognizing and supporting science learning in non-school contexts across a lifespan are then limited in efforts to delineate how communities engage in domain-specific practice. This is especially relevant in the study of online environments which afford more democratic forms of participation. With the goal …

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Influence Of Adjuvants On Pesticide Soil-Air Partition Coefficients: Laboratory Measurements And Predicted Effects On Volatilization, Supta Das, Kimberly J. Hageman May 2020

Influence Of Adjuvants On Pesticide Soil-Air Partition Coefficients: Laboratory Measurements And Predicted Effects On Volatilization, Supta Das, Kimberly J. Hageman

Chemistry and Biochemistry Faculty Publications

A solid-phase fugacity meter was used to measure the soil–air partition coefficients of three semivolatile pesticides (chlorpyrifos, pyrimethanil, and trifluralin) in the absence of additional adjuvants (Ksoil–air,AI), as part of commercial formulations (Ksoil–air,formulation), and as formulation mixtures with an additional spray adjuvant added (Ksoil–air,formulation+spray adjuvant). Chlorpyrifos Ksoil–air,formulation values were also measured over 15–30 °C, allowing for the change in internal energy of the phase transfer reaction (Δsoil–airU) to be calculated and compared to the Δsoil–airU for Ksoil–air,AI from the literature. Measured Ksoil–air values …

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A Robust Structured Tracker Using Local Deep Features, Mohammadreza Javanmardi, Amir Hossein Farzaneh, Xiaojun Qi May 2020

A Robust Structured Tracker Using Local Deep Features, Mohammadreza Javanmardi, Amir Hossein Farzaneh, Xiaojun Qi

Computer Science Faculty and Staff Publications

Deep features extracted from convolutional neural networks have been recently utilized in visual tracking to obtain a generic and semantic representation of target candidates. In this paper, we propose a robust structured tracker using local deep features (STLDF). This tracker exploits the deep features of local patches inside target candidates and sparsely represents them by a set of templates in the particle filter framework. The proposed STLDF utilizes a new optimization model, which employs a group-sparsity regularization term to adopt local and spatial information of the target candidates and attain the spatial layout structure among them. To solve the optimization …

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N3-Ligated Nickel(Ii) Diketonate Complexes: Synthesis, Characterization And Evaluation Of O2 Reactivity, Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau May 2020

N3-Ligated Nickel(Ii) Diketonate Complexes: Synthesis, Characterization And Evaluation Of O2 Reactivity, Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau

Chemistry and Biochemistry Faculty Publications

Interest in O2-dependent aliphatic carbon–carbon (C–C) bond cleavage reactions of first row divalent metal diketonate complexes stems from the desire to further understand the reaction pathways of enzymes such as DKE1 and to extract information to develop applications in organic synthesis. A recent report of O2-dependent aliphatic C–C bond cleavage at ambient temperature in Ni(II) diketonate complexes supported by a tridentate nitrogen donor ligand [(MBBP)Ni(PhC(O)CHC(O)Ph)]Cl (7-Cl; MBBP = 2,6-bis(1-methylbenzimidazol-2-yl)pyridine) in the presence of NEt3 spurred our interest in further examining the chemistry of such complexes. A series of new TERPY-ligated Ni(II) diketonate complexes of the …

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Simulation-Optimization For Conjunctive Water Resources Management And Optimal Crop Planning In Kushabhadra-Bhargavi River Delta Of Eastern India, Madan K. Jha, Richard C. Peralta, Sasmita Sahoo May 2020

Simulation-Optimization For Conjunctive Water Resources Management And Optimal Crop Planning In Kushabhadra-Bhargavi River Delta Of Eastern India, Madan K. Jha, Richard C. Peralta, Sasmita Sahoo

Publications

Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools. This study combines a groundwater-flow simulation model and two optimization models to develop optimal reconnaissance-level water management strategies. For a given set of hydrologic and management constraints, both of the optimization models are applied to part of the Mahanadi River basin groundwater system, which is an important source of water supply in Odisha State, India. The first optimization model employs a …

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Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling May 2020

Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling

Publications

Warming and thawing in the Arctic are promoting biogeochemical processing and hydrologic transport in carbon‐rich permafrost and soils that transfer carbon to surface waters or the atmosphere. Hydrologic and biogeochemical impacts of thawing are challenging to predict with sparse information on arctic soil hydraulic and thermal properties. We developed empirical and statistical models of soil properties for three main strata in the shallow, seasonally thawed soils above permafrost in a study area of ~7,500 km2 in Alaska. The models show that soil vertical stratification and hydraulic properties are predictable based on vegetation cover and slope. We also show that …

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Snow Processes In Mountain Forests: Interception Modeling For Coarse-Scale Applications, Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, Jean-Matthieu Monnet May 2020

Snow Processes In Mountain Forests: Interception Modeling For Coarse-Scale Applications, Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, Jean-Matthieu Monnet

Wildland Resources Student Research

Snow interception by the forest canopy controls the spatial heterogeneity of subcanopy snow accumulation leading to significant differences between forested and nonforested areas at a variety of scales. Snow intercepted by the forest canopy can also drastically change the surface albedo. As such, accurately modeling snow interception is of importance for various model applications such as hydrological, weather, and climate predictions. Due to difficulties in the direct measurements of snow interception, previous empirical snow interception models were developed at just the point scale. The lack of spatially extensive data sets has hindered the validation of snow interception models in different …

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Steam Maker Education: Conceal/Reveal Of Personal, Artistic And Computational Dimensions In High School Student Projects, Lindsay Lindberg, Deborah A. Fields, Yasmin B. Kafai May 2020

Steam Maker Education: Conceal/Reveal Of Personal, Artistic And Computational Dimensions In High School Student Projects, Lindsay Lindberg, Deborah A. Fields, Yasmin B. Kafai

Instructional Technology and Learning Sciences Faculty Publications

Much of maker education’s expansion has focused on STEM (science, technology, engineering, mathematics) learning, leaving out equally promising opportunities for integrating arts learning. In this paper we share findings from a project in which high school students created electronic-textiles-based art representing features of a community important to them as a part of an elective high school computer science class. We addressed the following research questions: (1) What kinds of personal and community meanings did students convey through their maker projects? (2) How did students engage with artistic dimensions in their projects? (3) How did coding interactive features support students’ artwork? …

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Uwrl Outstanding Student Spotlight: Ayman Nassar, Utah Water Research Laboratory May 2020

Uwrl Outstanding Student Spotlight: Ayman Nassar, Utah Water Research Laboratory

News

The UWRL likes to take a moment to highlight an outstanding student, faculty member, or alumni. This time our spotlight is on Ayman Nassar, a Ph.D. researcher studying Water Engineering at Utah State University.

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The Two Types Of Society: Computationally Revealing Recurrent Social Formations And Their Evolutionary Trajectories, Lux Miranda, Jacob Freeman May 2020

The Two Types Of Society: Computationally Revealing Recurrent Social Formations And Their Evolutionary Trajectories, Lux Miranda, Jacob Freeman

Sociology, Social Work and Anthropology Faculty Publications

Comparative social science has a long history of attempts to classify societies and cultures in terms of shared characteristics. However, only recently has it become feasible to conduct quantitative analysis of large historical datasets to mathematically approach the study of social complexity and classify shared societal characteristics. Such methods have the potential to identify recurrent social formations in human societies and contribute to social evolutionary theory. However, in order to achieve this potential, repeated studies are needed to assess the robustness of results to changing methods and data sets. Using an improved derivative of the Seshat: Global History Databank, …

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The Comparative Cytotoxicity Of Riddelliine In Primary Mouse, Rat And Chick Hepatocytes, Bryan L. Stegelmeier, William S. Resager, Steven M. Colegate May 2020

The Comparative Cytotoxicity Of Riddelliine In Primary Mouse, Rat And Chick Hepatocytes, Bryan L. Stegelmeier, William S. Resager, Steven M. Colegate

Poisonous Plant Research (PPR)

Dehydropyrrolizidine alkaloid (DHPA) producing plants commonly poison livestock, wildlife and humans. Poisoning occurs when DHPAs are ingested as feed or food, or when they contaminate medicinal or herbal products. Direct toxicologic comparison of individual DHPAs is essential to estimate their actual health risks. This has been problematic due to varying models and difficulties in DHPA isolation or synthesis. In contrast, the macrocyclic DHPA riddelliine is readily isolated and it has been used as a benchmark to characterize different models of toxicity and carcinogenicity. Following earlier work with immortalized cell lines, the objective of this study was to characterize the effect …

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Modelling Eurasian Beaver Foraging Habitat And Dam Suitability, For Predicting The Location And Number Of Dams Throughout Catchments In Great Britain, Hugh A. Graham, Alan Puttock, William W. Macfarlane, Joseph Michael Wheaton, Jordan T. Gilbert, Róisín Campbell-Palmer, Mark Elliott, Martin J. Gaywood, Karen Anderson, Richard E. Brazier May 2020

Modelling Eurasian Beaver Foraging Habitat And Dam Suitability, For Predicting The Location And Number Of Dams Throughout Catchments In Great Britain, Hugh A. Graham, Alan Puttock, William W. Macfarlane, Joseph Michael Wheaton, Jordan T. Gilbert, Róisín Campbell-Palmer, Mark Elliott, Martin J. Gaywood, Karen Anderson, Richard E. Brazier

Watershed Sciences Faculty Publications

Eurasian beaver (Castor fiber) populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BDC) model, classifying suitability of river reaches for dam construction, to estimate location and number of dams at catchment scales. Models were executed across three catchments, in Great Britain (GB), containing beaver. An area of 6747 km2 was analysed for BFI and 16,739 km of stream for BDC. Field surveys identified 258 km of channel containing beaver …

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Aggieair Works With Blm To Assist Endangered Species, Utah Water Research Laboratory May 2020

Aggieair Works With Blm To Assist Endangered Species, Utah Water Research Laboratory

News

The AggieAir Service Center recently traveled down to Vernal, UT to assist in a Bureau of Land Management (BLM) funded project to estimate the colony size of white-tailed prairie dogs. The scientific imagery gathered will be used to help the BLM reintroduce the endangered black-footed ferret in the area, as white-tailed prairie dogs are a key component to the species’ survival.

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Waves Over Mcmurdo Station, Robert Johnson May 2020

Waves Over Mcmurdo Station, Robert Johnson

Physics Capstone Projects

Atmospheric gravity waves (GWs) are generated by gravity acting on weather systems effectively causing them to oscillate. These waves can then propagate upwards into the upper atmosphere, where they are observed as they pass through glowing layers of gas, called airglow, in the upper atmosphere at approximately 87 kilometers altitude. Using Physics and a little bit of chemistry we can observe the properties of these waves with special infrared cameras. Combining the data between images taken at the same time but with different filters, we can determine the temperature amplitudes of the waves, important for improving our understanding of their …

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Synthesis Of Graphene By Liquid Precursors At Lower Temperatures, Clayton Hansen May 2020

Synthesis Of Graphene By Liquid Precursors At Lower Temperatures, Clayton Hansen

Physics Capstone Projects

Benzene, toluene, and xylene can be liquid precursors for graphene and carbon nanotube synthesis. However, the growth mechanisms can have greater variances for different carbon allotropes. In the case of graphene, Cu can be the catalyst for dehydrogenation and provides a weakly-coupled substrate for 2-dimensional graphene nucleation and growth. In the case of carbon nanotubes, Fe nanoparticles are essential to catalyze the C-C bonds breaking and dissolve carbon before the precipitation of a graphene cap over the catalyst particle where a tube forms. Controlling the precursor feed rate is crucial for a successful synthesis. In this research, we developed a …

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Material Outgassing Kinetics: The Development Of A Testing Capability, Alex Kirkman May 2020

Material Outgassing Kinetics: The Development Of A Testing Capability, Alex Kirkman

Physics Capstone Projects

Contamination due to outgassing of materials can cause the degradation of critical hardware of a spacecraft. Using outgassing rates, kinetic expressions can be developed and used in models to predict the evolution of molecules and migration of contaminants for specific materials. These models could be used in the selection process of materials to help mitigate the amount of contamination of mission critical hardware for the expected life of the spacecraft. By using the ASTM E1559 test standard this can be achieved. This standard uses the quartz crystal microbalance (QCM) collection approach. A temperature-controlled effusion cell, containing the sample material, impinges …

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Utah State University Commencement, 2020 – Main Campus, Utah State University May 2020

Utah State University Commencement, 2020 – Main Campus, Utah State University

Commencement Programs

133rd Annual Commencement of Utah State University

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Oxidative Protection Using Pluronic Micelles, Mitchell Glen Heap May 2020

Oxidative Protection Using Pluronic Micelles, Mitchell Glen Heap

Undergraduate Honors Capstone Projects

Methods for drug delivery are currently being researched in many different applications. One significant obstacle to drug delivery is a drug's inherent hydrophobic character. Drugs that are hydrophobic are difficult to successfully administer since the body consists mostly of water. Therefore, a greater variety of drugs could potentially be used for the treatment of disease if they could successfully be administered. Recent research in oncology and virology has attempted to overcome the obstacles posed by hydrophobic drugs by encapsulating them in micelles. Micelles form spontaneously from compounds that contain both hydrophilic and hydrophobic regions and can be used to increase …

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Understanding Personal Data In The World Of Social Media, Nicholas Scott Rodgers May 2020

Understanding Personal Data In The World Of Social Media, Nicholas Scott Rodgers

Undergraduate Honors Capstone Projects

Personal data is behind many of the online interactions that people have through social media and other online sites and services. This data allows sites to understand their users, which in turn allows them to provide better content for their users. This data is also used to determine user interests, which these online services use to target more relevant advertising to their users, and share the information that they collect about their users with third parties. It is only recently that this personal data is being regulated by lawmakers, the businesses running these sites are held accountable for managing the …

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Designing Technology For Different Scales Of Irrigation Scheduling, Paolo Alexander Consalvo May 2020

Designing Technology For Different Scales Of Irrigation Scheduling, Paolo Alexander Consalvo

Undergraduate Honors Capstone Projects

Uncertainty in water availability is a significant challenge to the agriculture industry. Farmers and irrigators depend on novel uses of sensors and data to maximize water efficiency. Documented studies have demonstrated scheduling irrigation is a straightforward, deterministic means of achieving water efficiency. Irrigation scheduling uses several parameters to determine the moment of crop water stress due to available water in the soil. However, sensors and data for soil moisture and matric potential, a parameter describing water available to plants, have the potential to train machine learning algorithms to forecast water irrigation needs based on previous measurements. Satellite remote-sensing is another …

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Boolean Rank And Isolation Number Of N-Regular Tournaments, Matthew F. Deangelo May 2020

Boolean Rank And Isolation Number Of N-Regular Tournaments, Matthew F. Deangelo

Undergraduate Honors Capstone Projects

We examine Boolean rank and isolation number of a class of matrices, the adjacency matrices of regular tournaments. Boolean rank is defined as the minimum k such that a m x n matrix can be factored into m x k and k x n matrices, using Boolean arithmetic. Isolation number is defined as the maximum number of 1’s that do not share a row, column, or 2 x 2 submatrix of 1’s. Linear programming can be applied by using the underlying structure of the tournament matrices to develop a relationship between Boolean rank and isolation number. We show possible methods …

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The Two Types Of Society: Computationally Revealing Recurrent Social Formations And Their Evolutionary Trajectories, Lux Miranda May 2020

The Two Types Of Society: Computationally Revealing Recurrent Social Formations And Their Evolutionary Trajectories, Lux Miranda

Undergraduate Honors Capstone Projects

Comparative social science has a long history of attempts to classify societies and cultures in terms of shared characteristics. However, only recently has it become feasible to conduct quantitative analysis of large historical datasets to mathematically approach the study of social complexity and classify shared societal characteristics. Such methods have the potential to identify recurrent social formations in human societies and contribute to social evolutionary theory. However, in order to achieve this potential, repeated studies are needed to assess the robustness of results to changing methods and data sets. Using an improved derivative of the Seshat: Global History Databank, we …

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Simplicity As A New Environmental Virtue, Justin Wheeler May 2020

Simplicity As A New Environmental Virtue, Justin Wheeler

Undergraduate Honors Capstone Projects

This paper argues for the addition of a new environmentally focused virtue, simplicity, to the virtue ethical framework developed by Aristotle. First, relevant background from Aristotle’s virtue ethics are developed including the crucial, “doctrine of the mean”, a balance between excess and deficiency of a specified character trait. The tenets of the new virtue simplicity are developed with practical examples based on Aristotle’s method of developing a virtue of character. Simplicity is proposed as a desire to take the appropriate amount from the natural world and an acceptance of one’s circumstances. Those possessing simplicity will not fall victim to the …

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Maximizing Returns For Investors Using Modern Portfolio Theory And The Efficient Frontier, Charity Smith Parkinson May 2020

Maximizing Returns For Investors Using Modern Portfolio Theory And The Efficient Frontier, Charity Smith Parkinson

Undergraduate Honors Capstone Projects

There exists an efficient frontier upon which there is an optimal point of allocation of an investor’s assets among different types of investment vehicles. Identifying this point and allocating a portfolio accordingly allow an investor to capture the highest market return with the least amount of risk. This research study offers a model which can be used to find this optimal investment allocation and discusses the challenges and assumptions associated with using it. Using techniques discussed in Markowitz (1952), we obtain the optimal allocation of wealth for two portfolios of 13 and 12 assets, respectively. Such a model is not …

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