Digital Commons Network^™

Global Existence, Asymptotic Behavior And Blow Up Of Solutions For A Kirchhoff-Type Equation With Nonlinear Boundary Delay And Source Terms, Houria Kamache, Nouri Boumaza, Billel Gheraibia

Turkish Journal of Mathematics

The main goal of this work is to study an initial boundary value problem for a Kirchhoff-type equation with nonlinear boundary delay and source terms. This paper is devoted to prove the global existence, decay, and the blow up of solutions. To the best of our knowledge, there are not results on the Kirchhoff type-equation with nonlinear boundary delay and source terms.

Numerical Radius, Berezin Number, And Berezin Norm Inequalities For Sums Of Operators, Najla Altwaijry, Kais Feki, Nicusor Minculete

Turkish Journal of Mathematics

The purpose of this article is to explore various inequalities pertaining to the numerical radius of operators in a Hilbert space. Additionally, we present several bounds for the Berezin number and Berezin norm of operators that act on a reproducing kernel Hilbert space. Finally, we establish a necessary and sufficient condition for the triangle inequality related to the Berezin number to hold.

Subnetwork Ensembling And Data Augmentation: Effects On Calibration, A. Çağrı Demir, Simon Caton, Pierpaolo Dondio

Articles

Deep Learning models based on convolutional neural networks are known to be uncalibrated, that is, they are either overconfident or underconfident in their predictions. Safety-critical applications of neural networks, however, require models to be well-calibrated, and there are various methods in the literature to increase model performance and calibration. Subnetwork ensembling is based on the over-parametrization of modern neural networks by fitting several subnetworks into a single network to take advantage of ensembling them without additional computational costs. Data augmentation methods have also been shown to enhance model performance in terms of accuracy and calibration. However, ensembling and data augmentation …

Gated Deep Reinforcement Learning With Red Deer Optimization For Medical Image Classification, Narayanan Ganesh, Sambandan Jayalakshmi, Rama Chandran Narayanan, Miroslav Mahdal, Hossam Zawbaa, Ali Wagdy Mohamed

Articles

The brain is one of the most important and complex organs in the body, consisting of billions of individual cells. Uncontrolled growth and expansion of aberrant cell populations within or around the brain are the main causes of brain tumors. These cells have the potential to harm healthy cells and impair brain function [1]. Tumors can be detected using medical imaging techniques, which are considered the most popular and accurate way to classify different types of cancer, and this procedure is even more crucial as it is noninvasive [2]. Magnetic resonance imaging (MRI) is one such medical imaging technique that …

Effects Of Peri-Urbanization On Coastal Sage Scrub Ant Species In Baja California, Alejandro E. Mieles, Margaret A. Voss, Estelí Jiménez-Soto

School of Geosciences Faculty and Staff Publications

Increasing urbanization on the Baja California Peninsula threatens ant diversity. Reductions in ant species diminish ecosystem services provided to semiarid coastal scrub areas. Peri-urban areas in particular are at high risk of reductions in ant biodiversity due to development. To document and evaluate ant species diversity and richness in a rapidly developing area, nine sites were sampled within areas of coastal sage scrub (CSS) encircling the urban periphery of Ensenada, Baja California. Forty species and 17 genera of ants were collected, only one of which was non-native. Although the sampled area represents less than 1% of the peninsula and 3% …

Naturally Occurring Vegetation Connectivity Facilitates Ant-Mediated Coffee Berry Borer Removal, Sanya Cowal, Jonathan R. Morris, Estelí Jiménez-Soto, Stacy M. Philpott

School of Geosciences Faculty and Staff Publications

Vegetation connectivity is an essential aspect of the habitat complexity that impacts species interactions at local scales. However, agricultural intensification reduces connectivity in agroforestry systems, including coffee agroecosystems, which may hinder the movement of natural enemies and reduce the ecosystem services that they provide. Ants play an important role in regulating the coffee berry borer (CBB), which is the most damaging coffee pest. For arboreal ant communities, the connections between trees are important structures that facilitate ant mobility, resource recruitment, foraging success, and pest control ability. To better understand how connectivity impacts arboreal ants in coffee agroecosystems, we conducted an …

Chesapeake Bay Watershed Residents’ And Farmers’ Views On Water Quality, Edem Avemegah, Jessica D. Ulrich-Schad

Publications

Poor water quality is an issue in the Chesapeake Bay Watershed (CBW). In this rapidly urbanizing landscape, both farmers and non-farm residents contribute to nutrient pollution of rivers and streams. Understanding these important stakeholders’ views of water quality problems and how to address them is essential for creating an economically thriving and environmentally beneficial agricultural system that all residents depend upon. To understand stakeholder views on water quality both locally and regionally, researchers from Utah State University and the Pennsylvania State University surveyed residents of the CBW and agricultural producers of the southern part of the CBW (Maryland, Delaware, and …

Homelessness And Taphonomy: A Multidisciplinary Study, Chloë Angst

Master's Theses

In this thesis, I present multidisciplinary research applicable to deceased unhoused individuals in urban San José, California. I present the problem of homelessness through a “hybrid collectif,” a conceptual framework that encompasses the factors that drive homelessness in life and death. I use taphonomic methodology to examine the problem of homelessness in this urban region by experimentation with porcine carcasses in simulated death scenarios. I utilize total body score (TBS), accumulated degree days (ADD), and predictive entomological species identification to examine decomposition trends. I also introduce “human survival scavenging” as an agent of decomposition, provide an account of ecological succession …

Group-Invariant Reinforcement Learning, Fnu Ankur

Master's Theses

Our work introduces a way to learn an optimal reinforcement learning agent accompanied by intrinsic properties of the environment. The extracted properties helps the agent to extrapolate the learning to unseen states efficiently. Out of all the various types of properties, we are intrigued towards equivariant and invariant properties, which essentially translates to symmetry. Contrary to many approaches, we do not assume the symmetry, rather learn them, making the approach agnostic to the environment and the property. The learned properties offers multiple perspective of the environment to exploit it to benefit decision making while interacting with the environment. By building …

Electronic And Optical Properties Of 2d Materials And Their Van Der Waals Heterostructures Using Density Functional Theory, Paridhi Bisht

Master's Theses

Layered 2D materials offer unique physical and chemical properties, including high surface area-to-volume ratios, layer-dependent electronic and optical traits, and scalability. Transition metal dichalcogenides (TMDs) represent a versatile class within 2D materials, with metals, semiconductors, insulators, and superconductors. Weak van der Waals forces between layers enable easy exfoliation and stacking for vertical heterostructures, promising electronic and optical device manipulation. This thesis investigates monolayer graphene, h-BN, MoTe2, WTe2-2H, WTe2-1T', and their heterostructures using DFT-based calculations. Results show stable heterostructures, particularly Gr/WTe2-2H as a Schottky n-type junction for FETs and magnetoresistance devices. Strain-induced bandgap modulation and redshifts offer potential for bandgap engineering …

Thinking Styles, Conspiracist Belief, And The Mediating Role Of The Dunning-Kruger Effect In Modeling Belief Change, Lucas C. Cusano

Master's Theses

Why can a person believe something for which there is no evidence and yet also fail to believe something for which there is overwhelming evidence? This study develops a structural model of belief change using the latent constructs of thinking styles and conspiracist belief while accounting for the Dunning-Kruger effect (i.e., overconfidence in one’s knowledge the less one knows about a topic) as a mediator. A combined two-hundred and twenty-six participants from both Amazon’s Mechanical Turk and the introductory psychology SONA subject pool were given two knowledge measures on topics of genetic modification and vaccination before and after reading refutational …

Evaluating The Effect Of Resveratrol On Sirt1 With Different Peptide Substrates, Yujin Hur

Master's Theses

SIRT1 is an NAD+-dependent lysine deacetylase that is involved in many important cellular pathways. The protein has an extended N-terminal domain that seems to play a role in regulating its activity. Sirtuin Activating Compounds (STACs) are allosteric activators, such as resveratrol, that regulate the activity of SIRT1. STACs bind to the N-terminal STAC Binding Domain (SBD) in SIRT1. Past literature has found that SIRT1 activity can be increased, decreased, or remain unchanged by resveratrol depending on the identity of the peptide substrate. The goal of this study is to clarify the mechanism for substrate-specific allosteric regulation by resveratrol. The interactions …

Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone

Master's Theses

Predicting future climate change relies on accurate representations of the earth’s surface radiation budget. Complex interactions between large-scale dynamical conditions (e.g., low-pressure systems) and microscale processes (e.g., cloud properties) are key contributors to energy budget biases within global climate models. Proper estimation of cloud microscale processes and their responses to synoptic-scale dynamics will greatly improve the accuracy of the simulated energy balance within global climate models. High-latitudinal clouds have significant influences on the Earth’s radiative balance. We examined observations from two field campaigns at Macquarie Island in the Southern Ocean and McMurdo Station in Antarctica. Two global climate models are …

Characterization And Evaluation Of Catalytic Activity Of Small Molecule Copper Complexes For Metallopolymer Design, Brenda Lu

Master's Theses

Catalysis is one of the driving forces in designing greener chemical processes for essential real-world applications. Enzymes, Nature’s catalysts, are known for their high selectivity, use of readily available metals and reagents, and ability to work under physiological conditions; three important qualities that synthetic chemists would like to mimic in their small molecule metal catalysts. Though most small molecule metal catalysts fall short of enzyme-like activity, we hypothesize that using a polymer scaffold as a secondary coordination sphere mimic around the metal complex will affect the microenvironment (steric and electronic) and enable enzyme-like activity. Previously, we synthesized ligand precursors and …

Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule

Master's Theses

This study contributes to understanding magmatic processes and the plumbing system of submarine volcanoes before, during, and after caldera formation with the use of melt inclusions (MIs). Major, trace and volatile geochemistry from both olivine and plagioclase-hosted MIs taken from volcaniclastic deposits around Axial Seamount reveal information about the storage conditions, ascent rates and eruption styles of magmas. Magma crystallizes in the subsurface, capturing MIs, and ascends where some host glasses may interact with seawater during eruption. Oversaturation in volatiles and low vesicularity show quick ascent rates. By analyzing chemical data within a pre-existing stratigraphic context this study can assess …

Optimizing Soluble Recombinant Expression Of The Aedes Aegypti Early Trypsin Protease, Neomi Millan

Master's Theses

The female Aedes aegypti mosquito is a primary vector for the transmission of blood–borne viral pathogens such as Chikungunya, Zika, Yellow Fever, and Dengue. The female mosquito will become infected with these pathogens through the uptake of a blood meal from an infected host. The midgut digestive enzymes are required to digest the blood meal to obtain necessary nutrients needed for the completion of the gonotrophic cycle. Blood meal digestion is biphasic and digestive enzymes are expressed at different time points after uptake of a blood meal. The focus of this study is on an early phase protease known as …

Interdependence Of Salt Concentration And Filler Particles On Crystallinity And Mechanical Behavior Of Peo-Litfsi Electrolytes For Lithium-Ion Batteries, Valeria Perez

Master's Theses

Developing composite polymer electrolytes is crucial for enhancing the safety, energy density, and performance of lithium-ion batteries. While it is widely accepted that introducing filler particles in PEO-based electrolytes can reduce crystallinity and enhance ionic conductivity, this conventional understanding applies primarily to electrolytes with high lithium salt concentrations. The hypothesis of this investigation is that the crystallinity change induced by LLZTO ceramic particles in PEO-LiTFSI electrolytes is contingent on the EO:Li molar ratio. This hypothesis is interrogated by measuring changes in crystallinity, spherulite morphology, and stiffness of composite polymer electrolytes with two different EO:Li molar ratios using differential scanning calorimetry, …

Quantifying Bromocarbon Emissions From Seaweed Aquaculture In California, Jessica C. Metter

Master's Theses

Feeding ruminant livestock seaweed rich in bromoform (CHBr3) is an emerging strategy to reduce methane emissions from the livestock sector to meet climate targets. Consequently, there is a strong interest in farming bromoform rich seaweeds (e.g., Asparagopsis taxiformis) on a large scale which may impact the atmospheric inventory of bromine and in return induce catalytic ozone destruction. However, to date, only three studies have measured bromoform emission rates from Asparagopsis seaweeds which vary by order of magnitude. To fill this gap, the most comprehensive data set of bromocarbon emissions from A. taxiformis, a leading candidate for enteric methane reduction in …

Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo

Master's Theses

Cirrus clouds are located at high altitudes and are composed of ice crystals. The unique location of cirrus clouds and their large variability in-cloud microphysical properties allow them to have either warming or cooling effects on Earth’s surface and affect the Earth’s energy budget on a global scale. The examination of cirrus radiative effects is further complicated by multiple factors affecting their formation and evolution, including the effects of thermodynamic, dynamic, aerosol, and chemical tracer variables. In this work, we developed a composite aircraft-based in-situ observation dataset based on seven National Science Foundation (NSF) and five NASA flight campaigns that …

Micro-Scale Laser-Induced Fluorescence Thermometry For Multiphase Flow In Porous Media, Samuel J. Simmons

Master's Theses

In this thesis the use of Laser-Induced Fluorescence (LIF) thermometry was evaluated as a temperature measurement for multiphase flow in porous media. This optical temperature measurement technique utilizes the temperature-dependent emissive properties of fluorescent dyes to measure temperature. This research evaluates the accuracy, spatial resolution, and temporal resolution of LIF thermometry compared to existing temperature measurements. In this research water-soluble and oil-soluble fluorescent dyes are evaluated in terms of their temperature sensitivity. The ability of these dyes to measure temperature is compared to an Ansys FEA simulation of a fixed temperature gradient. For multiphase flow, the fluorescent dyes were both …

Cloud Phase Distribution At A Global-Scale And The Governing Factors Using Satellite And In-Situ Airborne Observations, Dao Wang

Master's Theses

Cloud thermodynamic phase distributions play a crucial role in accurately representing cloud radiative effects and feedback in a changing climate. The partitioning of cloud thermodynamic phases (ice, liquid, and mixed phase) significantly influences Earth's surface temperature and its ability to mitigate the impact of global warming. Satellite-based cloud phase data are frequently used for the evaluation of global climate models, yet validation of them against in-situ observations is still lacking. This study examines global cloud phase distributions and their determinant factors by validating three satellite-based cloud phase products against an extensive in-situ airborne dataset. CALIPSO exhibits the most similar ice …

Hydraulic Fracturing Treatment Optimization Using Machine Learning, Abdullah Johar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Friction reducers are chemicals used in hydraulic fracturing to reduce friction between fracturing fluid and the wellbore walls, helping to overcome tubular drag at high flow rates. High viscosity friction reducers are increasingly used due to operational and economic benefits, but their optimal concentration for each stage of fracturing is not well studied. As a result, oil and gas companies often use more friction reducers than necessary to ensure designed injection rates are achieved and to avoid screening out, resulting in excess use of FR and economic losses. The primary goal of this Thesis is to fully comprehend and quantify …

Ignorance-Oriented Instruction For Future Learning: Principles And Practices, Jeng-Yi Tzeng

Journal of Educational Technology Development and Exchange (JETDE)

This article presents a teaching approach known as Ignorance-Oriented Instruction (IOI), which views ignorance as both the driving force and the goal of learning. IOI aims to prepare students for an uncertain future by cultivating their ability to learn by delving into their ignorance and making predictions for the unknown. Key principles underlying the practice of IOI, a course designed based on IOI, and A COPE TRAP model for formulating questions are proposed. The experiences of applying IOI in various classes show that students responded to IOI favorably, although IOI makes the course more challenging than ordinary lecture-based instruction. IOI …

Population Variations Of Cheiloscopy Patterns: A Cross-Sectional Observation Pilot Study, Emily Smith Regan, Brenda T. Bradshaw, Ann M. Bruhn, Walter Melvin, Sinjini Sikdar

Dental Hygiene Faculty Publications

Purpose Lip prints are unique and have potential for use as a human identifier. The purpose of this study was to observe possible cheiloscopy differences of individuals with and without parafunctional oral habits such as smoking, vaping, playing a wind instrument or using an asthma inhaler.

Methods This IRB approved blinded cross-sectional observation pilot study collected lip prints from sixty-six individuals, three of which were excluded. Participants cleansed their lips, then lipstick was applied to the vermillion zones of the upper and lower lips. Adhesive tape was applied to the lips and prints were transferred to white bond paper for …

Dental Hygiene And Dental Assistant Students' Simulated Dvi Radiographic Match Accuracy: A Pilot Study, Samantha C. Vest, Brenda T. Bradshaw, Marsha A. Voelker, Ann M. Bruhn, Tara L. Newcomb, Sinjini Sikdar

Dental Hygiene Faculty Publications

Purpose Allied dental health care professionals have served on disaster victim identification (DVI) teams; however, the literature is void of statistical measures regarding transferable skills and disaster preparedness. The purpose of this study was to assess second year dental hygiene and dental assistant students’ match accuracy for simulated DVI radiographs and compare the match accuracy between the student groups.

Methods Five patient cases were chosen at random to retrospectively collect sets of digital bitewing radiographs from two time periods. The five retrospectively selected sets of images served as simulated antemortem (AM) and postmortem (PM) radiographs. A convenience sample of second …

Cheiloscopy Patterns In Individuals With And Without Parafunctional Oral Habits: A Cross-Sectional Observation Pilot Study, Emily Regan, Brenda Bradshaw, Ann Bruhn, Walter Melvin, Sinjini Sikdar

Dental Hygiene Faculty Publications

Purpose

Lip prints are unique and have potential for use as a human identifier. The purpose of this study was to observe possible cheiloscopy differences of individuals with and without parafunctional oral habits such as smoking, vaping, playing a wind instrument or using an asthma inhaler.

Methods

This IRB approved blinded cross-sectional observation pilot study collected lip prints from 66 individuals, three of which were excluded. Participants cleansed their lips, then lipstick was applied to the vermillion zones of the upper and lower lips. Adhesive tape was applied to the lips and prints were transferred to white bond paper for …

Promoting Retention And Success Of Students With Specific Learning Disabilities At The Collegiate Level: A Qualitative Case Study On Student Perceptions, Marcee Wilburn

All-Inclusive List of Electronic Theses and Dissertations

Although students with specific learning disabilities are graduating from high school and being accepted into college at higher rates, research shows that the majority of these students are unsuccessful at the collegiate level (Álvarez-Pérez et al., 2012; Connor, 2009; Gil, 2007; Lightfoot et al., 2018; Newman et al., 2011). This study is qualitative in nature with a phenomenological approach investigating the experiences of students with specific learning disabilities at Indiana State University, a mid-size Midwestern university located in Terre Haute, Indiana. Three instruments were used to collect data within this study: semi-structured interviews with students, Beginning College Survey of Student …

Trait Self-Control, Ego-Depletion, And Mental Health In Non-Offending Minor Attracted Persons, Amaya Kathia Bonilla

All-Inclusive List of Electronic Theses and Dissertations

Research has focused on understanding the offending behavior of minor attracted persons (MAPs) due to the negative impact their behaviors have on some of the most vulnerable members of society. Further, many different models of impulsivity have been developed to explain these offending behaviors. However, limited research focuses on non-offending MAPs and gaining knowledge about what prevents them from offending. The present study attempted to fill this gap by exploring the relationship between trait self-control and ego-depletion on expression of sexual words. Additionally, the relationship between trait self-control and mental health was assessed. The present study utilized a survey approach …

Accident Prediction On E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam

Master's Theses

Micro Mobility refers to small, confined pace range, and lightweight modes oftransportation, which include e-Bikes and e-Scooters. Micro Mobility riders are prone to harm and deadly injuries on city streets. Statistics show that on average 27 out of 82 (33%) humans, in the United States get injured every day in e-motorcycle injuries, which is rapidly increasing as compared to previous years. The current accident prediction strategies have been rather technically complicated to be incorporated onto micromobility vehicles which are lighter in weight and smaller in size. Current strategies bring key challenges to light. First, as micro-mobility vehicles are small and …

Structure, Construction, And Emplacement Of The Northern Margin Of The Late Cretaceous Sonora Pass Intrusive Suite: North-Central Sierra Nevada Batholith, California, Victoria A. Arnold

Master's Theses

Of the four voluminous, normally zoned Late Cretaceous intrusive suites of the Sierra Nevada batholith, the >1,000 km², ~96-88 Ma Sonora Pass intrusive suite is the oldest, northernmost, and least studied. It contains the marginal, equigranular Kinney Lakes hornblende-biotite granodiorite and the inner, porphyritic Topaz Lake biotite granodiorite. From this research, the Lake Alpine granodiorite is now considered the outermost part of the Sonora Pass intrusive suite. The suite intruded Early Cretaceous plutons and metasedimentary rocks. The Kinney Lakes and Lake Alpine granodiorites were constructed by multiple phases, as were the plutonic host rocks. The granodiorites are marked by schlieren …