Digital Commons Network^™

Anxiety In International Graduate Students With U.S. Education, Aeshah Zarraa

Theses and Dissertations

Anxiety in international graduate students is a significant concern for most students planning to move out of their home country to pursue higher education in the United States. The primary purpose of this research is to identify the prime causes of anxiety triggers in the targetted Graduate students, thereby determining a step-wise methodology development to address the causes. The study initially identified a set of graduate students who were voluntarily willing to collaborate and address their concerns anonymously to identify the significant issues faced by current students and alumni of the Florida Institute of Technology, Melbourne, Florida. Several questions were …

A Beginner's Guide To Cryptocurrencies: Explaining The Technologies Behind Cryptocurrencies, How The United States Taxes And Regulates Them, And Offering Changes To The Existing Taxation And Regulation Schemes, J. Merritt Francis

Richmond Journal of Law & Technology

The United States federal government has attempted to use its existing regulatory and taxation schemes to regulate and tax cryptocurrencies, while many individuals are still unsure as to what cryptocurrency really is. The Securities and Exchange Commission and the Commodities Future Trading Commission have both asserted their jurisdiction over cryptocurrency, resulting in unclear guidance for developers in the cryptocurrency space and a failure to adequately protect investors. Further, the Internal Revenue Service taxes cryptocurrency like a security rather than a currency, which disincentivizes adopting cryptocurrency as a form of payment. Nevertheless, although cryptocurrencies are taxed like securities, there are tax …

Ensuring Non-Repudiation In Long-Distance Constrained Devices, Ethan Blum

Honors Theses

Satellite communication is essential for the exploration and study of space. Satellites allow communications with many devices and systems residing in space and on the surface of celestial bodies from ground stations on Earth. However, with the rise of Ground Station as a Service (GsaaS), the ability to efficiently send action commands to distant satellites must ensure non-repudiation such that an attacker is unable to send malicious commands to distant satellites. Distant satellites are also constrained devices and rely on limited power, meaning security on these devices is minimal. Therefore, this study attempted to propose a novel algorithm to allow …

Intersectionalities In Internationalization Studies: An Overview Of Brazilian Research, Simone M. Costa, Lauro Sérgio M. Pereira, Kléber A. Silva

Journal of Comparative & International Higher Education

Special Issue

Classification Of Iraqi Children According To Their Nutritional Status Using Fuzzy Logic, Hussein Ali Hasan, Mohammed Jasim Mohammed

Journal of Economics and Administrative Sciences

In this paper, we build a fuzzy classification system for classifying the nutritional status of children under 5 years old in Iraq using the Mamdani method based on input variables such as weight and height to determine the nutritional status of the child. Also, Classifying the nutritional status faces a difficult challenge in the medical field due to uncertainty and ambiguity in the variables and attributes that determine the categories of nutritional status for children, which are relied upon in medical diagnosis to determine the types of malnutrition problems and identify the categories or groups suffering from malnutrition to determine …

Anxiety Among Females With Adhd Affecting Their Academic Success In College, Kendra Roth

Undergraduate Honors Theses

This research study examined how stress and anxiety affects female undergraduate college students with Attention-Deficit/Hyperactivity Disorder (ADHD) in having academic success. In total, 105 female and 38 male undergraduate students completed the questionnaire regarding demographics, ADHD, anxiety, stress, academic success, and current symptoms of behavior and ability to function within school related activities. Research has shown that most college students with ADHD tend to have more anxiety and stress throughout their undergraduate and graduate years, most prominently in females. Little research has gone into understanding how ADHD and academic success go together with accomplishing goals in life. The Academic Success …

Neuroimaging And Free Will: A Partial Test Of Devine's “Director’S Cut” Theory Of Jury Decision Making, Madison Baczuk

Undergraduate Honors Theses

New evidence has emerged over the last few decades that demonstrates that the brains of some criminal offenders are structurally and functionally different from non-offenders. This evidence suggests that some people may not have the physical brain structure and functioning – often due to factors beyond their control – to make thoughtful, empathetic, and rational decisions. Therefore, some have questioned whether such individuals should be held to the same degree of culpability (responsibility) as those without brain damage, deficiency, or dysfunction. Additionally, this neurological evidence has been shown to influence jury decision-making as a mitigating factor. The present study aims …

Math Anxiety Research Paper, Daniella M. Tartaro

Transformations

Math anxiety can be characterized as feelings of apprehension or distress that individuals experience when faced with tasks or activities associated with mathematics. Due to its prevalence, math anxiety is a growing issue for teachers who seek to uplift and prioritize the comfort, well-being and success of their students. Failure to address math anxiety can significantly hinder a student’s learning, lower their academic performance, and negatively cloud their overall attitude towards mathematics. In gathering and sorting resources associated with prevailing positions regarding math apprehension, this paper aims to explore math anxiety’s impact on students' learning, and the benefit of collaborative …

Dual Barriers: Examining Digital Access And Travel Burdens To Hospital Maternity Care Access In The United States, 2020, Peiyin Hung Ph.D., Marion Granger, Nansi Boghossian, Jiani Yu, Sayward Harrison, Jihong Liu Sc.D., Berry A. Campbell, Bo Cai Ph.D., Chen Liang, Xiaoming Li Ph.D.

Faculty Publications

Policy Points The White House Blueprint for Addressing the Maternal Health Crisis report released in June 2022 highlighted the need to enhance equitable access to maternity care. Nationwide hospital maternity unit closures have worsened the maternal health crisis in underserved communities, leaving many birthing people with few options and with long travel times to reach essential care. Ensuring equitable access to maternity care requires addressing travel burdens to care and inadequate digital access. Our findings reveal socioeconomically disadvantaged communities in the United States face dual barriers to maternity care access, as communities located farthest away from care facilities had the …

Prospects And Constraints For A Recreational Fishery On East Canyon Creek At The 910 Ranch, S. Bishop, A. Garner, G. Mclaughlin, T. Oman, N. Omer, C. Stewart

Watershed Sciences Student Research

Summit County Lands and Natural Resources has retained students from Utah State University’s Management and Restoration of Aquatic Ecosystems program to evaluate current conditions of East Canyon Creek (ECC) in the 910 Ranch and propose prospects, constraints, and potential actions to establish a recreational trout fishery.

Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha

Mineta Transportation Institute

Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost …

Accelerating Machine Learning Inference For Satellite Component Feature Extraction Using Fpgas., Andrew Ekblad

Theses and Dissertations

Running computer vision algorithms requires complex devices with lots of computing power, these types of devices are not well suited for space deployment. The harsh radiation environment and limited power budgets have hindered the ability of running advanced computer vision algorithms in space. This problem makes running an on-orbit servicing detection algorithm very difficult. This work proposes using a low powered FPGA to accelerate the computer vision algorithms that enable satellite component feature extraction. This work uses AMD/Xilinx’s Zynq SoC and DPU IP to run model inference. Experiments in this work centered around improving model post processing by creating implementations …

An Efficient And Chemoselective Method To Generate Arynes, Bryan Metze, Riley A. Roberts, Aleksandra Nilova, David R. Stuart

Chemistry Faculty Publications and Presentations

Arynes hold immense potential as reactive intermediates in organic synthesis as they engage in a diverse range of mechanistically distinct chemical reactions. However, the poor functional group compatibility of generating arynes or their precursors has stymied their widespread use. Here, we show that generating arynes by deprotonation of an arene and elimination of an “onium” leaving group is mild, efficient and broad in scope. This is achieved by using aryl(TMP)iodonium salts (TMP = 2,4,6-trimethoxyphenyl) as the aryne precursor and potassium phosphate as the base, and a range of arynophiles are compatible. Additionally, we have performed the first quantitative analysis of …

The Curious Tension Between Fish And Game Conservation Officers And The Fourth Amendment, Thomas White

Criminal Justice Faculty Publications

Based on principles of federalism, states as well as the federal government address the powers and duties of fish and wildlife conservation officers (hereafter referred to generally as “conservation officers”) in a variety of ways, a significant number of which appear to have Fourth Amendment ramifications. Many states require their conservation officers to have probable cause, with or without a search warrant, to engage in search activity. Since this is the standard employed for reviewing the reasonableness of the actions of ordinary law enforcement officers, these states’ legal requirements for searching hunters and anglers do not implicate Fourth Amendment concerns. …

Teaching Introductory Physics In The Context Of Personal And Societal Issues Of The Covid-19 Pandemic, Guang Zeng, Liang Zeng

Physics & Astronomy Faculty Publications

This paper reports on introductory physics instruction contextualized in terms of coronavirus-related personal and societal issues. Students in this descriptive qualitative study gained a strong grasp of a range of physics concepts associated with the nature and mechanisms of the spread of the coronavirus, such as projectile motion, air convection, Reynolds number, and Brownian motion; additionally, they were able to discuss the application of physics relevant to the N95 face masks. Students found this pedagogical approach engaging, as shown in their reflective writing.

Addressing The Analytical And Computational Challenges Using Machine Learning In Biomedical Research, Yizhuo Wang

Dissertations and Theses (Open Access)

In the contemporary healthcare field, professionals are confronted with an ever-growing volume of clinical data stored in electronic health records, alongside the genomic data stemming from laboratory experiments. As a response to this deluge of data, the application of machine learning (ML) techniques is gaining popularity since ML techniques have demonstrated an exceptional proficiency in processing big data and deciphering complex nonlinear patterns that are intrinsic to biomedical research.

My research leverages ML's capabilities to address the computational challenges spanning diverse areas, including adaptive clinical trial designs, survival analysis, and high-dimensional genetic data analysis. Specifically, Chapter 2 focused on the …

The Federal Government's Role In Local Policing, Farhang Heydari, Barry Friedman, Rachel Harmon

Vanderbilt Law School Faculty Publications

For far too long, the federal government has failed to exercise its constitutional authority to mitigate the harms imposed by local policing. Absent federal intervention, though, some harmful aspects of policing will not be addressed effectively, or at all. States and localities often lack the necessary capacity and expertise to change policing, and many states and localities lack the will. This Article argues for federal intervention and describes what that intervention should look like.

The Article begins by describing three paradigmatic areas of local policing that require federal intervention to create real change: excessive use offorce, racial discrimination, and the …

Synthesis Of Glucomannan-Xylan Composite Biofilms: Characterization And Applications For Food Packaging, Kholoud Al-Ajlouni

Dissertations

Scientists are most concerned about the need for green alternatives for efficient food packaging polymers to replace petroleum-based packaging products. The waste of corn cobs and the roots of the konjac plant contain hemicellulose, xylan and glucomannan respectively, and can be used to produce biofilms for food packaging.

The aim of these studies is to formulate biofilms from glucomannan-xylan blends that compete with petroleum-based plastic wrap. The biofilms must be strong, smooth, transparent, have a water vapor barrier, have the required mechanical properties and be cheap. Biofilms from glucomannan were stiff, lacked mechanical properties, and absorbed moisture. Therefore, it reacts …

Model-Free Methods To Analyze Pmu Data In Real-Time For Situational Awareness And Stability Monitoring, Sean Kantra

All Dissertations

This dissertation presents and evaluates model-free methodologies to process Phasor Measurement Unit (PMU) data. Model-based PMU applications require knowledge of the system topology, most frequently the system admittance matrix. For large systems, the admittance matrix, or other system parameters, can be time-consuming to integrate into supporting PMU applications. These data sources are often sensitive and can require permissions to access, delaying the implementation of model-based approaches. This dissertation focuses on evaluating individual model-free applications to efficiently perform functions of interest to system operators for real-time situational awareness. Real-time situational awareness is evaluated with respect to central digitization where the PMU …

From Experiences To Beliefs: An Exploratory Case Study On Science Teachers’ Attitudes Towards Emergent Bilinguals, Yamil Ernesto Ruiz

All Dissertations

Emergent bilingual (EB) students in the US are those who are in the process of developing academic English proficiency. EBs are some of the fastest growing populations of students in American public schools. There exists a great deal of research geared towards developing both curricular resources and instructional strategies to best support EBs in the science classroom, however many of these professional development studies lament the lack of growth in terms of achievement in science learning outcomes of EBs. It is possible that due to a lack of transformation in their beliefs that the teachers in these studies do not …

Interpretable Mechanistic And Machine Learning Models For Pre-Dicting Cardiac Remodeling From Biochemical And Biomechanical Features, Anamul Haque

All Dissertations

Biochemical and biomechanical signals drive cardiac remodeling, resulting in altered heart physiology and the precursor for several cardiac diseases, the leading cause of death for most racial groups in the USA. Reversing cardiac remodeling requires medication and device-assisted treatment such as Cardiac Resynchronization Therapy (CRT), but current interventions produce highly variable responses from patient to patient. Mechanistic modeling and Machine learning (ML) approaches have the functionality to aid diagnosis and therapy selection using various input features. Moreover, 'Interpretable' machine learning methods have helped make machine learning models fairer and more suited for clinical application. The overarching objective of this doctoral …

Studies On Electrochemical Hydrogen Isotope Separation, Liyanage Mayura Sankalpa Silva

All Dissertations

Graphene-integrated Proton Exchange Membrane (PEM) electrochemical cells have emerged as a novel area of scientific investigation in the realm of hydrogen isotope separation. Chemical Vapor Deposited (CVD) graphene has been especially useful due to its large-scale production capability for scaling-up purposes. The research described in this dissertation explores the role that inadvertent introduction of cations, notably ammonium and copper, during the CVD graphene transfer onto PEM substrates, such as Nafion, might play in affecting hydrogen ion transport and isotope separation in PEM electrochemical cells. An extensive review of existing literature exposed a gap concerning unintentional cation introductions during graphene transfer, …

Ti-6al-4v Β Phase Selective Dissolution: In Vitro Mechanism And Prediction, Michael A Kurtz

All Dissertations

Retrieval studies document Ti-6Al-4V β phase dissolution within total hip replacement systems. A gap persists in our mechanistic understanding and existing standards fail to reproduce this damage. This thesis aims to (1) elucidate the Ti-6Al-4V selective dissolution mechanism as functions of solution chemistry, electrode potential and temperature; (2) investigate the effects of adverse electrochemical conditions on additively manufactured (AM) titanium alloys and (3) apply machine learning to predict the Ti-6Al-4V dissolution state. We hypothesized that (1) cathodic activation and inflammatory species (H₂O₂) would degrade the Ti-6Al-4V oxide, promoting dissolution; (2) AM Ti-6Al-4V selective dissolution would occur …

The Power Of Play: The Role Of Children’S Museums In Kindergarten Readiness, Catie Davis

All Dissertations

This study explores the transformative potential of play in preparing young children for Kindergarten, focusing on the intersection of children's museums, caregiver interactions, and school readiness. The study, conducted over an eight-week Pop-Up Classroom program at The Flowerfield Children's Museum, included 52 participants, primarily from low-income backgrounds. Through a mixed-methods approach, including participant observations and caregiver surveys, the research aimed to answer the fundamental question: What is the role of play in preparing children for Kindergarten?

Two significant findings emerged. Firstly, the study illuminated the pivotal role of play in nurturing social-emotional development and communication skills among children. Structured observations …

Leveraging Artificial Intelligence For Team Cognition In Human-Ai Teams, Beau Schelble

All Dissertations

Advances in artificial intelligence (AI) technologies have enabled AI to be applied across a wide variety of new fields like cryptography, art, and data analysis. Several of these fields are social in nature, including decision-making and teaming, which introduces a new set of challenges for AI research. While each of these fields has its unique challenges, the area of human-AI teaming is beset with many that center around the expectations and abilities of AI teammates. One such challenge is understanding team cognition in these human-AI teams and AI teammates' ability to contribute towards, support, and encourage it. Team cognition is …

Atomistic And Mesoscale Modeling Of Microstructure Development During Solid-State Sintering, Omar Hussein

All Dissertations

Interfaces are ubiquitous in materials systems, and they influence the processing and properties of nearly all engineering and functional materials. Examples include grain boundaries (GBs) in polycrystalline materials, free surfaces in nanoparticles, and phase boundaries in multiphase materials. Therefore, understanding and controlling interfacial processes is a key aspect of materials design and discovery efforts.

Recent developments in advanced manufacturing and synthesis techniques have enabled the fabrication of materials architectures with intricate nanoscale features. Of particular interest is solid-state sintering, known for creating complex and high-precision geometries with controlled microstructures. While sintering science has been the subject of active research, very …

Experimental And Computational Platforms For Studying Systems Mechanobiology, Brendyn Miller

All Dissertations

Mechanical stimulation through physical activity has been shown to play an important role in treating and preventing several non-communicable diseases such as hypertension, lower back pain (LBP), type-2 diabetes mellitus, and several cancers. This is accomplished through the regulation of cellular behavior and tissue remodeling within the body at both the micro- and macro-scale levels. The goal of mechanobiology research is to gain in-depth knowledge and understanding of how cells sense physical forces in conjunction with other biochemical cues and translate those factors into important biological functions that either maintain tissue homeostasis or lead to pathological states. Understanding these processes …

Leveraging Professional Learning To Impact Leadership Of Technology Integration, Tennille Woodward

All Dissertations

School and district leaders lack awareness of the depth and complexity of the International Society for Technology in Education (ISTE) Standards for Education Leaders and how the implementation of the leader standards provides for students and teachers to learn relevant skills and strategies. Continuing the work of Schoenbart’s 2019 dissertation, the Education Leaders Technology Survey (ELTS) provides a self-assessment for education leaders to reflect on their leadership of technology integration and provides baseline data for this study. Professional learning around the ISTE Standards for Education Leaders provided through a Canvas course provides education leaders with a theory of action to …

Hydrothermal Synthesis Of First-Row Transition Metal Polyanions Towards The Design Of Frustrated Magnetic Materials, Megan Smart

All Dissertations

Novel modern materials are constantly being discovered as humanity seeks constantly better improvement to the optics and electronics around us, from lasers used in medical therapies to the magnets and supercomputing chips in our phones. Inorganic oxides commonly draw inspiration from naturally occurring minerals to template new discoveries through substitution of similarly behaving elements with the goal of inducing certain desired properties, such as ferroelectricity or creating the elusive quantum spin liquid. While many minerals are silicates, its periodic table neighbor germanium(IV) has a rich and under-explored crystal chemistry that could contain many new structures and magnetic materials. Another common …

Integrated Techniques To Identify And Characterize Resistance To Fusarium Wilt Caused By Fusarium Oxysporum, F. Sp. Vasinfectum Race 4 In Two Domesticated Gossypium Species, Stephen Parris

All Dissertations

Fusarium wilt of cotton (Gossypium hirsutum and G. barbadense), caused by Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4), is the most threatening disease faced by today’s cotton breeders. During the past 20 years, over $7 million have been dedicated to efforts in breeding upland cotton for resistance to FOV4 while yielding little to no results. To counteract this, we conducted a study in Clint, TX, that utilized control plots and geostatistical methods to adjust phenotypic data for the heterogeneous distribution of FOV4 in the field, improving the accuracy of genetic resistance assessments. Concurrently, early-generation genetic mapping in …