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Articles 30961 - 30990 of 302581
Full-Text Articles in Physical Sciences and Mathematics
Exploring Social Dimensions Of Ecological Restoration In The Removal Of Two Dams On The Elwha River, Joseph Hinnant
Exploring Social Dimensions Of Ecological Restoration In The Removal Of Two Dams On The Elwha River, Joseph Hinnant
School of Natural Resources: Dissertations, Theses, and Student Research
The United States is approaching a critical juncture regarding aging dam infrastructure. One increasingly common decision has been to remove dams, recreating a free-flowing river. The attention of the literature on ecological restoration is shifting from an ecological focus towards the importance of participation and the social dimensions of restorations. Social situations surrounding a dam removal can lead to expedited success, delays, or abandoned efforts. This study seeks to connect selected social dimensions of dam removals with the broader literature of ecological restoration by exploring social dimensions expressed in public participation in a dam removal process.
A directed content analysis, …
An Investigation Of The Attitudes And Behavioral Outcomes Of Nebraskan Hunters Toward Tick-Borne Disease, Dominic J. Cristiano
An Investigation Of The Attitudes And Behavioral Outcomes Of Nebraskan Hunters Toward Tick-Borne Disease, Dominic J. Cristiano
School of Natural Resources: Dissertations, Theses, and Student Research
As changes in climate, land-use, and vegetation alter the landscape of the Great Plains, new threats to public health are emerging. Incidences of tick-borne disease in Nebraska have increased nearly 250% over the past two decades – newly established species like Ixodes scapularis may introduce challenges for health practitioners, including more cases of Lyme disease. Strategies for tick-borne disease prevention must incorporate effective health messaging. Audience segmentation may be a useful technique to provide health communication, as it allows for targeted messaging that speaks to specific attitudes and beliefs of a given population. One tool for usefully segmenting populations is …
Dimension Theory Of Conformal Iterated Function Systems, Sharon Sneha Spaulding
Dimension Theory Of Conformal Iterated Function Systems, Sharon Sneha Spaulding
Honors Scholar Theses
This thesis is an expository investigation of the conformal iterated function system (CIFS) approach to fractals and their dimension theory. Conformal maps distort regions, subject to certain constraints, in a controlled way. Let $\mathcal{S} = (X, E, \{\phi_e\}_{e \in E})$ be an iterated function system where $X$ is a compact metric space, $E$ is a countable index set, and $\{\phi_e\}_{e \in E}$ is a family of injective and uniformly contracting maps. If the family of maps $\{\phi_e\}_{e \in E}$ is also conformal and satisfies the open set condition, then the distortion properties of conformal maps can be extended to the …
A Priori And A Posteriori Error Estimates For The Quad-Curl Eigenvalue Problem, Lixiu Wang, Qian Zhang, Jiguang Sun, Zhimin Zhang
A Priori And A Posteriori Error Estimates For The Quad-Curl Eigenvalue Problem, Lixiu Wang, Qian Zhang, Jiguang Sun, Zhimin Zhang
Michigan Tech Publications
In this paper, we consider a priori and a posteriori error estimates of the H(curl2)-conforming finite element when solving the quad-curl eigenvalue problem. An a priori estimate of eigenvalues with convergence order 2(s 1) is obtained if the corresponding eigenvector u a Hs 1(Ω) and-u a Hs(Ω). For the a posteriori estimate, by analyzing the associated source problem, we obtain lower and upper bounds for the errors of eigenvectors in the energy norm and upper bounds for the errors of eigenvalues. Numerical examples are presented for validation.
Unsupervised Domain Adaptation With Deep Neural Networks, Jinyu Yang
Unsupervised Domain Adaptation With Deep Neural Networks, Jinyu Yang
Computer Science and Engineering Dissertations
Deep neural networks (DNNs) demonstrate unprecedented achievements on various machine learning problems and applications. However, such impressive performance heavily relies on massive amounts of labeled data which requires considerable time and labor efforts to collect and annotate. To remedy this limitation, unsupervised domain adaptation (UDA) has attracted more and more attention in the past decade, owing to its capability in transferring the knowledge learned from a labeled source domain to an unlabeled target domain. UDA has proved its wide applicability in various vision tasks, for example, image classification and semantic segmentation. Despite its impressive success, the limitations of existing UDA …
Optimal Utility-Based Traffic Control For Datacenter Networks, Akshit Singhal
Optimal Utility-Based Traffic Control For Datacenter Networks, Akshit Singhal
Computer Science and Engineering Dissertations
As datacenter applications with diverse service requirements proliferate, it becomes imperative to enable datacenter network flow rate allocation that satisfies minimum user-utility requirements, while allowing for user-utility-based fair resource allocation. Multiple Path Transmission Control Protocols (MPTCPs) allow flows to explore path diversity of datacenter networks and multihoming to improve throughput, reliability, and network resource utilization. The work in this dissertation aims to develop optimal utility-based datacenter traffic control protocols to meet diverse service requirements for datacenter applications. Specifically, this dissertation makes contributions on four highly related research topics. First, we put forward a HOListic traffic control framework for datacenter NETworks …
Large-Eddy Simulations Of A Convection Cloud Chamber: Sensitivity To Bin Microphysics And Advection, Fan Yang, Mikhail Ovchinnikov, Subin Thomas, Alexander Khain, Robert Mcgraw, Raymond Shaw, Andrew M. Vogelmann
Large-Eddy Simulations Of A Convection Cloud Chamber: Sensitivity To Bin Microphysics And Advection, Fan Yang, Mikhail Ovchinnikov, Subin Thomas, Alexander Khain, Robert Mcgraw, Raymond Shaw, Andrew M. Vogelmann
Michigan Tech Publications
Bin microphysics schemes are useful tools for cloud simulations and are often considered to provide a benchmark for model intercomparison. However, they may experience issues with numerical diffusion, which are not well quantified, and the transport of hydrometeors depends on the choice of advection scheme, which can also change cloud simulation results. Here, an atmospheric large-eddy simulation model is adapted to simulate a statistically steady-state cloud in a convection cloud chamber under well-constrained conditions. Two bin microphysics schemes, a spectral bin method and the method of moments, as well as several advection methods for the transport of the microphysical variables …
Studying Suspended Sediment Concentrations In The South Chickamauga Creek Of Chattanooga, Tn Using Satellite Imagery, Digital Image Processing, And Numeric Modeling, Abigail Faxon
Honors Theses
In recent years, Hamilton County, TN has experienced extensive urban growth. According to US Census data, Hamilton County welcomed more than 33,000 new residents in the last decade. There is increased concern about the environmental sustainability of Chattanooga’s urban growth because significant impervious surface development has taken place along the South Chickamauga Creek. This leaves the creek subject to increased urban runoff, which often carries sediments with different municipal pollutants. Thus, monitoring turbidity in the stream water is important to determine the sustainability of urban development in Chattanooga, TN. In this research, we have compared the viability of using different …
Theoretical Studies Of Benzoquinone Reactivity In Acidic And Basic Environments, Natali Majoras
Theoretical Studies Of Benzoquinone Reactivity In Acidic And Basic Environments, Natali Majoras
Honors Theses
Quinones are a class of organic compounds containing a six-membered unsaturated ring with two carbonyl groups. They are biologically relevant mostly due to their ability to participate in redox reactions. Prior experiments in our lab showed that quinones can induce protein modifications that are pH dependent. In an acidic environment the modifications were less significant than in a basic environment. Previous computational studies have also been carried out to model, in neutral solutions, the reaction between various quinones and various amines. Various amine groups are used as a model for the amino group of lysine to represent protein modification. The …
The Effects Of Dissolved And Suspended Solids On Freshwater Meiofauna, Jessica Cline
The Effects Of Dissolved And Suspended Solids On Freshwater Meiofauna, Jessica Cline
Honors Theses
Meiofauna include small-sized animals (< 1mm) distributed in all aquatic ecosystems on Earth, where they play fundamental trophic and ecological roles. The biodiversity of marine meiofauna and its links with anthropogenic activities is routinely investigated, however, freshwater communities are less known. This is particularly true for the Southeastern United States, which is greatly investigated and elected a hotspot of biodiversity for larger species but very little is known about the meiofauna. The purpose of this research is to reveal the biodiversity of meiofauna from the Tennessee River and test for potential correlations with anthropogenic activities. As a proxy for pollution, dissolved and suspended solids were considered in this study. The research hypothesis is that meiofaunal biodiversity would be affected by possible changes of dissolved and suspended solids in the water column. Possible mechanisms causing biodiversity shifts could be ascribed to osmotic stresses of animals to cope with variation in dissolved solids or, more indirectly, because different sunlight penetration caused by suspended solids would affect primary production. To test the hypothesis, water samples were collected from nine stations located along the Tennessee River in Hamilton County. Each station was visited three times, and, during each visit, environmental parameters (including dissolved and suspended solids) were measured. Meiofauna biodiversity (estimated as richness, community composition, and phylogenetic diversity) was revealed using a metagenomic approach. Statistical analyses were applied to test for possible correlations between the biodiversity estimates and the measured environmental parameters. Results show a high biodiversity of meiofauna with more than 200 amplicon-sequence variants distributed across 10 metazoan phyla. Environmental conditions are highly variable among stations and statistical analyses show that while both dissolved solids (TDS) and turbidity (suspended solids, NTU) did not significantly affect meiofauna biodiversity in the collected samples, various other water, and sediment metrics were found to be significant predictors of meiofauna biodiversity. In conclusion, the results of this project not only reveal for the first time the meiofauna biodiversity from the Tennessee River, but also suggest that meiofauna could be used as bioindicators for several anthropogenic activities in freshwater ecosystems.
Synthesis And Characterization Of Organometallic Complexes For Biological Imaging, Emily Stumbo
Synthesis And Characterization Of Organometallic Complexes For Biological Imaging, Emily Stumbo
Honors Theses
Luminescent transition metal complexes are of interest for biological imaging applications due to their unique photophysical properties including large Stokes shift, long fluorescence lifetimes, and tunable emission. Altering ligand structure is a useful way to manipulate the charge transfer (CT) and mixed character states that give these complexes their photophysical properties. A series of organometallic complexes containing ligands with externally facing nitrogens has been prepared and synthesized. Complexes of the form Pt (II)(tbbpy)(C2-py), Re(CO)3(N^N), Ir(C^N)2(N^N), and Ir(C^N)2(N^O) have been studied for their potential application as biological imaging agents. The goal of this project is to compare the properties of these …
The Impact Of Water Infrastructure Inequality On Marginalized Communities, Indra Khalsa
The Impact Of Water Infrastructure Inequality On Marginalized Communities, Indra Khalsa
Honors Theses
America’s current system of water infrastructure poses a threat not only to the environment but also to public health. The water crisis reveals the stark inequalities that exist from both an environmental justice and a social justice perspective. There is a growing concern that without adequate investment from federal resources, the problems related to this issue will only worsen the longer they are neglected. There is little information about how specific environmental and social factors combine with water infrastructure to create long-term infrastructure inequalities. However, this thesis explores the disparities in water infrastructure affordability, vulnerability patterns, and environmental hazards. It …
Assessing The Long-Term Effects Of Natural Disturbance-Based Silvicultural On The Avian Assemblage At The Acadian Forest Ecosystem Research Program, Carl Pohlman
Electronic Theses and Dissertations
Active forest management alters the resources available to forest-obligate species. Large-scale intensive management practices where timber production is the primary objective can lead to notable ecological changes in forest ecosystems. A key concept of ecological forestry is to design forest management activities to emulate natural disturbance regimes as a way to maintain the ecological integrity of forests. The Acadian Forest Ecosystem Research Program (AFERP) was undertaken as an experimental demonstration of management reflective of the region’s disturbance regime, which typically produces small canopy gaps. AFERP includes nine research areas assigned to three silvicultural treatments: unharvested control, small gap (expanding-group selection …
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational and Data Sciences (PhD) Dissertations
Recently, there has been a tremendous increase in generating and synthesizing music and art using various computational techniques. An area that is still under-researched, however, is how one medium can be converted into the other, while maintaining the overall aesthetics. Over the last few centuries, artists, composers, and scholars, have attempted to use substitute one form of art for the other: by proposing techniques where music notes are synonymous to colors, by inventing instruments that combine the aesthetics of music and visual art, and by incorporating the two media in live performances. A widely accepted computational approach, for the conversion, …
Objective Crystallographic Symmetry Classifications Of A Noisy Crystal Pattern With Strong Fedorov-Type PseudoSymmetries And Its Optimal Image-Quality Enhancement, Peter Moeck
Physics Faculty Publications and Presentations
Statistically sound crystallographic symmetry classifications are obtained with information-theory-based methods in the presence of approximately Gaussian distributed noise. A set of three synthetic patterns with strong Fedorov-type pseudosymmetries and varying amounts of noise serve as examples. Contrary to traditional crystallographic symmetry classifications with an image processing program such as CRISP, the classification process does not need to be supervised by a human being and is free of any subjectively set thresholds in the geometric model selection process. This enables crystallographic symmetry classification of digital images that are more or less periodic in two dimensions (2D), also known as crystal …
Finding A Representative Distribution For The Tail Index Alpha, Α, For Stock Return Data From The New York Stock Exchange, Jett Burns
Electronic Theses and Dissertations
Statistical inference is a tool for creating models that can accurately display real-world events. Special importance is given to the financial methods that model risk and large price movements. A parameter that describes tail heaviness, and risk overall, is α. This research finds a representative distribution that models α. The absolute value of standardized stock returns from the Center for Research on Security Prices are used in this research. The inference is performed using R. Approximations for α are found using the ptsuite package. The GAMLSS package employs maximum likelihood estimation to estimate distribution parameters using the CRSP data. The …
Risk Gameplay Analysis Using Stochastic Beam Search, Jacob Gillenwater
Risk Gameplay Analysis Using Stochastic Beam Search, Jacob Gillenwater
Electronic Theses and Dissertations
Hasbro’s RISK, first published in 1959, is a complex multiplayer strategy game that has received little attention from the scientific community. Training artificial intelligence (AI) agents using stochastic beam search gives insight into effective strategy when playing RISK. A comprehensive analysis of the systems of play challenges preconceptions about good strategy in some areas of the game while reinforcing those preconceptions in others. This study applies stochastic beam search to discover optimal strategies in RISK. Results of the search show both support for and challenges to traditionally held positions about RISK gameplay. While stochastic beam search competently investigates gameplay on …
Community Structure Analysis Of Mammals Found At The Gray Fossil Site, Tn, Sarah Clark
Community Structure Analysis Of Mammals Found At The Gray Fossil Site, Tn, Sarah Clark
Electronic Theses and Dissertations
The early Pliocene Gray Fossil Site (GFS) is a biodiverse site with a unique faunal assemblage that represents one of few sites of its age in eastern North America. A community structure analysis of the mammals at GFS was done to characterize species and better understand the paleoenvironment. Data and was gathered from twenty modern communities and five late Neogene sites to compare with GFS. Species from these 26 sites were categorized by body size, locomotor mode, cheek tooth crown height, and diet to characterize niches occupied. Descriptive statistics contrasted proportions of species within categories across communities. Discriminant function analyses …
Water Quality Assessment Of Karst Spring Water As A Private Water Supply Source In Northeast Tennessee, Lukman Fashina
Water Quality Assessment Of Karst Spring Water As A Private Water Supply Source In Northeast Tennessee, Lukman Fashina
Electronic Theses and Dissertations
Karst springs are an essential source of private water supply for about 10% of households in Tennessee. However, these springs, which can be easily polluted, are unregulated. This study, therefore, assesses water quality spatial patterns and water quality rating of roadside springs in northeast Tennessee.
Karst spring water samples collected from 50 springs were assessed using EPA Standard methods for pathogens, nutrients, radon, and physicochemical parameters. Springs generally met federal and state standards for physicochemical parameters, 90% of samples contained E. coli, and all samples contained fecal coliform. High E. coli was spatially clustered causing a fecal contamination hot …
Sangaku In Multiple Geometries: Examining Japanese Temple Geometry Beyond Euclid, Nathan Hartmann
Sangaku In Multiple Geometries: Examining Japanese Temple Geometry Beyond Euclid, Nathan Hartmann
Honors College Theses
When the country of Japan was closed from the rest of the world from 1603 until
1867 during the Edo period, the field of mathematics developed in a different way
from how it developed in the rest of the world. One way we see this development
is through the sangaku, the thousands of geometric problems hung in various Shinto and Buddhist temples throughout the country. Written on wooden tablets by people from numerous walks of life, all these problems hold true within Euclidean geometry. During the 1800s, while Japan was still closed, non-Euclidean geometries began to develop across the …
Feasibility Assessment On Use Of Proximal Geophysical Sensors To Support Precision Management, Sophia M. Becker
Feasibility Assessment On Use Of Proximal Geophysical Sensors To Support Precision Management, Sophia M. Becker
School of Natural Resources: Dissertations, Theses, and Student Research
Soil property maps provide information for field management activities such as irrigation, fertilization, and seeding. Many on-the-go proximal geophysical sensors have been developed in recent decades that can help map agricultural fields without dense soil sampling. To utilize these technologies most profitably in precision management, scientists and precision agriculture dealers must better understand sensors’ performances in given field conditions and the economic value of different proximal soil sensing methods. Chapter two reports the study that was conducted at three sites in North Dakota, United States to strengthen understanding of the usefulness of different proximal geophysical data types in agricultural contexts …
University Of Nebraska Sustainability Recommendations, Kat Woerner
University Of Nebraska Sustainability Recommendations, Kat Woerner
Department of Environmental Studies: Undergraduate Student Theses
In August 2020, the University of Nebraska (NU) system published a 5-year strategic plan with a point to “set and achieve University-wide sustainability goals.” Sustainability efforts at the University of Nebraska are well established as each campus has developed a Sustainability Master Plan (SMP) over the course of the last six years. With limited resources, a system-wide, coordinated effort is critical and requires a hierarchy of actions that are based on: clear goals and metrics that support the university mission, effective tracking systems, policies, strategies, actions, practices that support the goals, and organizational structure to oversee and support implementation.
The …
Final Inversion Of The Midcontinent Rift During The Rigolet Phase Of The Grenvillian Orogeny, Mark D. Schmitz
Final Inversion Of The Midcontinent Rift During The Rigolet Phase Of The Grenvillian Orogeny, Mark D. Schmitz
Geosciences Faculty Publications and Presentations
Despite being a prominent continental-scale feature, the late Mesoproterozoic North American Midcontinent Rift did not result in the break-up of Laurentia, and subsequently underwent structural inversion. The timing of inversion is critical for constraining far-field effects of orogenesis and processes associated with the rift's failure. The Keweenaw fault in northern Michigan (USA) is a major thrust structure associated with rift inversion; it places ca. 1093 Ma rift volcanic rocks atop the post-rift Jacobsville Formation, which is folded in its footwall. Previous detrital zircon (DZ) U-Pb geochronology conducted by laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) assigned a ca. 950 Ma maximum …
Inter-Cell Slicing Resource Partitioning Via Coordinated Multi-Agent Deep Reinforcement Learning, Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle
Inter-Cell Slicing Resource Partitioning Via Coordinated Multi-Agent Deep Reinforcement Learning, Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle
School of Computing: Faculty Publications
Network slicing enables the operator to configure virtual network instances for diverse services with specific requirements. To achieve the slice-aware radio resource scheduling, dynamic slicing resource partitioning is needed to orchestrate multi-cell slice resources and mitigate inter-cell interference. It is, however, challenging to derive the analytical solutions due to the complex inter-cell interdependencies, interslice resource constraints, and service-specific requirements. In this paper, we propose a multi-agent deep reinforcement learning (DRL) approach that improves the max-min slice performance while maintaining the constraints of resource capacity. We design two coordination schemes to allow distributed agents to coordinate and mitigate inter-cell interference. The …
A Monte Carlo Method For Evaluating Empirical Gyrochronology Models And Its Application To Wide Binary Benchmarks, Tomomi Otani, Ted Von Hippel, Derek Buzasi, Terry Oswalt, Alexander Stone-Martinez, Patrice Majewski
A Monte Carlo Method For Evaluating Empirical Gyrochronology Models And Its Application To Wide Binary Benchmarks, Tomomi Otani, Ted Von Hippel, Derek Buzasi, Terry Oswalt, Alexander Stone-Martinez, Patrice Majewski
Publications
No abstract provided.
Core-Cm Williston Basin Carbon Ore, Rare Earth, And Critical Minerals, University Of North Dakota. Energy And Environmental Research Center
Core-Cm Williston Basin Carbon Ore, Rare Earth, And Critical Minerals, University Of North Dakota. Energy And Environmental Research Center
EERC Brochures and Fact Sheets
Fact sheet on the Carbon Ore, Rare Earth and Critical Minerals (CORE-CM) Initiative, an Energy & Environmental Research Center (EERC) and U.S. Department of Energy (DOE) project. Includes information on the importance of critical minerals and utilizing lignite from the Williston Basin.
A Machine Learning Approach For Reconnaissance Detection To Enhance Network Security, Rachel Bakaletz
A Machine Learning Approach For Reconnaissance Detection To Enhance Network Security, Rachel Bakaletz
Electronic Theses and Dissertations
Before cyber-crime can happen, attackers must research the targeted organization to collect vital information about the target and pave the way for the subsequent attack phases. This cyber-attack phase is called reconnaissance or enumeration. This malicious phase allows attackers to discover information about a target to be leveraged and used in an exploit. Information such as the version of the operating system and installed applications, open ports can be detected using various tools during the reconnaissance phase. By knowing such information cyber attackers can exploit vulnerabilities that are often unique to a specific version.
In this work, we develop an …
John Horton Conway: The Man And His Knot Theory, Dillon Ketron
John Horton Conway: The Man And His Knot Theory, Dillon Ketron
Electronic Theses and Dissertations
John Horton Conway was a British mathematician in the twentieth century. He made notable achievements in fields such as algebra, number theory, and knot theory. He was a renowned professor at Cambridge University and later Princeton. His contributions to algebra include his discovery of the Conway group, a group in twenty-four dimensions, and the Conway Constellation. He contributed to number theory with his development of the surreal numbers. His Game of Life earned him long-lasting fame. He contributed to knot theory with his developments of the Conway polynomial, Conway sphere, and Conway notation.
Sequential Deformations Of Hadamard Matrices And Commuting Squares, Shuler G. Hopkins
Sequential Deformations Of Hadamard Matrices And Commuting Squares, Shuler G. Hopkins
Doctoral Dissertations
In this dissertation, we study analytic and sequential deformations of commuting squares of finite dimensional von Neumann algebras, with applications to the theory of complex Hadamard matrices. The main goal is to shed some light on the structure of the algebraic manifold of spin model commuting squares (i.e., commuting squares based on complex Hadamard matrices), in the neighborhood of the standard commuting square (i.e., the commuting square corresponding to the Fourier matrix). We prove two types of results: Non-existence results for deformations in certain directions in the tangent space to the algebraic manifold of commuting squares (chapters 3 and 4), …
A Coarse Approach To The Freudenthal Compactification And Ends Of Groups, Hussain S. Rashed
A Coarse Approach To The Freudenthal Compactification And Ends Of Groups, Hussain S. Rashed
Doctoral Dissertations
The main purpose of this work is to present a coarse counterpart to the Freudenthal compactification and its corona (the space of ends) that generalizes the Freudenthal compactification of a Freudenthal topological space X (connected, locally connected, locally compact and σ-compact) and its corona; then applying it to groups as coarse space to obtain generalizations to many well-known results in the theory of ends of groups. To this end, we present two constructions:
1. The Coarse Freudenthal compactification of a proper metric space which is a coarse compactification that coincides with the Freudenthal compactification when the metric space is geodesic. …