Motor Imagery Eeg Decoding For Brain-Computer Interfaces: Structured Representation, Transfer, And Drift, Yiming Shen

Graduate Doctoral Dissertations

Motor imagery EEG decoding is often summarized by the accuracy of a final classifier, but the classifier is only the last stage of the pipeline. Before classification, the signal has already been shaped by preprocessing, feature extraction, source-session organization, and adaptation. This dissertation studies how feature representation, source-session transfer, and drift shape reliable MI-EEG decoding for brain-computer interfaces.

It first studies within-session decoding on public MI-EEG datasets using nested validation that keeps preprocessing, feature fitting, and model selection inside the training folds. This analysis separates gains from feature representation from gains due to nonlinear classification, and relates both comparisons to …

The Grasshopper's Journey To The Bloch Sphere, David Llamas

Graduate Doctoral Dissertations

The Grasshopper Problem asks a simple geometric question. A grasshopper lands on a lawn of fixed area and jumps a fixed distance in a random direction. What shape of lawn maximizes the probability that the grasshopper remains on the lawn after jumping? The jump rule is rotationally symmetric, but the best lawns do not have to be. This dissertation studies how that symmetry breaking occurs, maps the continuum problem to a novel constrained spin system, and uses the spherical Grasshopper Problem to compare quantum singlet correlations with classical local models.

For planar lawns, boundary-integral and perturbative calculations explain why the …

Redesigning Quantum Theory, Matthew Weiss

Graduate Doctoral Dissertations

QBism understands quantum mechanics to be probability theory supplemented by additional nonclassical coherence conditions. In this dissertation, we develop these nonclassical coherence conditions from first principles, emphasizing the role of a well chosen reference measurement. After treating standard probability on subjective Bayesian lines, we demonstrate an equivalence between the QBist approach and the existing framework of generalized probabilistic theories. We show that the fundamental nonclassical coherence relation may almost always be taken to be a gentle modification of the law of total probability, and give a coherentist account of when an experimental scenario has a classical explanation. Finally, we show …

A Statistical Mechanics Approach To Reinforcement Learning, Jacob Adamczyk

Graduate Doctoral Dissertations

Reinforcement learning (RL), the study of optimal decision-making over long timescales in stochastic systems, has recently seen remarkable advances due in large part to the efforts of the deep learning community. RL has witnessed great success in solving problems in video games, robotics, biological control, and language modeling. However, a unified statistical mechanics framework to understand and develop the corresponding algorithms is lacking. To address this issue, we begin by showing that the reinforcement learning problem can be formulated and solved using the tools of statistical mechanics. Drawing on physical principles of free energy minimization and invariance, we address important …

“Nothing About Us Without Us”: Examining Sense Of Belonging And College Success Through The Experiences Of Students With Autism Spectrum Disorder, Courtney E. Mulligan

Graduate Doctoral Dissertations

Sense of belonging has become an increasingly important indicator of student engagement, persistence, and success in higher education. Despite this, limited research has explored how college students with autism experience and define belonging while at college. As increasing numbers of students with autism pursue postsecondary education, institutions face a growing need to better understand the factors that influence student experiences and outcomes. The purpose of this mixed-methods study was to investigate the experiences of sense of belonging among current college students with autism and identify the factors that contribute positively or negatively to this experience to inform more inclusive higher …

Social Experiences Of Chinese International Students At A Us Liberal Arts College, Ke Yao

Graduate Doctoral Dissertations

This study provided detailed empirical evidence on social experiences of Chinese international students within a US liberal arts college context through examining their race, culture, gender, social class, and mental health experiences. This study showed that the experiences of Chinese international students in the US higher education institutions are influenced not only by individual adaptation but also by broader social and institutional contexts. First, findings of this study demonstrated that institutional features of liberal arts colleges, such as small campus environment, residential nature, and more interactive opportunities between domestic and Chinese international students, can simultaneously create opportunities for inclusion and …

Solving For X: Centering Black Girls’ Experiences In Mathematics Education, Natasha A. Fortes

Graduate Doctoral Dissertations

Black girls can grow up, attend school, and move through their math classes without ever feeling seen as capable mathematical thinkers. Their teachers may not affirm their brilliance. Their voices may even go unheard. Math classes may not be a space where they can imagine themselves belonging. These experiences do not reflect ability. Instead, they reflect on the conditions in which they are expected to learn. This study centers the voices of Black girls and asks what they deserve from their mathematics education and instructors to develop a mathematics identity. The study is grounded in Black feminist traditions and draws …

Multicomponent Reaction-Initiated Synthesis Of Polyheterocyclic Compounds, Ashutosh Nath

Graduate Doctoral Dissertations

Efficient synthesis of novel heterocycles with biological interest remains a challenge in modern organic chemistry. This dissertation presents the development of efficient synthetic strategies that combine multicomponent reactions (MCRs) with sequential reactions for rapid access a diverse array of polyheterocyclic compounds. The projects are: 1) Groebke-Blackburn-Bienaymé (GBB) reaction followed by N-acylation and Friedel-Crafts (FC) cyclization for the construction of imidazopyridine- and indole-fused azepinones involving an unusual ring-expansion process. 2) Modified GBB condensation products for intramolecular Diels-Alder (IMDA) cycloaddition and dehydrative re-aromatization to access imidazopyridine-fused isoquinolinones. 3) Integration of the Ugi-three component reaction (Ugi-3CR) and Pictet-Spengler (PS) reaction followed by …

Dynamics Of Swimming Microorganisms At Structured Liquid Crystal Interfaces, Vajra Sabhapathy Badha

Graduate Doctoral Dissertations

Active matter systems are self-driven units that consume energy to generate motion and mechanical stresses, producing non-equilibrium states of broad physical significance. Examples include synthetic microswimmers and migrating cells. Motile bacteria are a widely studied biological example because their self-propelled motion, hydrodynamic interactions, and collective organization are strongly coupled to local environmental conditions. Their swimming is sensitive to interfacial viscoelasticity, ordering, confinement, and hydrodynamic boundary effects, making them useful for investigating how interfaces regulate active biological motion. Because bacterial accumulation and attachment at interfaces are central to colonization and biofilm formation, these interactions are relevant to both active matter physics …

Concepts For Supporting Indigenous And Tribal Information And Research Needs, Sharon Hausam

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

The Difficulty In Defining The Construct Of Perseverance, Davon W. Ferrara, Linda W. Jones

Papers

Perseverance is a character virtue necessary for flourishing in the STEM disciplines; however, there are competing definitions of perseverance in scientific literature, which makes measuring the trait and researching its impact difficult. This work provides a review of the definitions of construct found within the literature and compares it to conflated terms such as grit, persistence, resilience, and self-efficacy that have related, but distinct meanings. Finally, we summarize the role of perseverance in STEM and what factors may influence its formation.

The authors gratefully acknowledge support from the Belmont Formation Collaborative and the Formation Scholars Cohort for Character Research and …

The Difficulty In Defining The Construct Of Perseverance, Davon W. Ferrara, Linda Jones

Posters

Perseverance is a character virtue necessary for flourishing in the STEM disciplines; however, there are competing definitions of perseverance in scientific literature, which makes measuring the trait and researching its impact difficult. This work provides a review of the definitions of construct found within the literature and compares it to conflated terms such as grit, persistence, resilience, and self-efficacy that have related, but distinct meanings. Finally, we summarize the role of perseverance in STEM and what factors may influence its formation.

The authors gratefully acknowledge support from the Belmont Formation Collaborative and the Formation Scholars Cohort for Character Research and …

Modeling Kinetics Of 5-Aminolevulinic Acid-Induced Protoporphyrin Ix Accumulation For Optimal Photodynamic Therapy, Priscilla Melebor

Graduate Masters Theses

Photodynamic therapy (PDT) is a minimally invasive treatment that uses light-activated photosensitizers to selectively destroy diseased tissue through the generation of reactive oxygen species. However, conventional in vitro models often fail to accurately reproduce the pharmacokinetics of photosensitizer accumulation and clearance observed in vivo. This study investigated protoporphyrin IX (PpIX) accumulation following 5-aminolevulinic acid (ALA) exposure under physiologically relevant conditions using two-dimensional (2D) monolayers and three-dimensional (3D) spheroids. By comparing continuous ALA exposure with transient exposure followed by ALA washout, this work provides a more biologically relevant framework for studying PpIX kinetics and optimizing photodynamic therapy.

I Must Be Well, To Do Well: Examining The Relationship Between Toxic Stem Environments, Trauma, Stem Support, And Academic Outcomes Among Diverse Graduate Women In Stem, Aisha Farra

Graduate Doctoral Dissertations

Women, particularly Women of Colour (WOC), remain underrepresented in STEM. In the last two decades, research has sought to better understand women’s experiences in STEM, highlighting challenges such as isolation, sexism, and racism, which negatively impact mental health and STEM persistence. While these mental health challenges have been documented, further work is needed to examine how these experiences are related to trauma symptoms and physical health outcomes, as well as the mechanisms through which they shape academic outcomes. This quantitative study investigated the relationships among toxic STEM experiences (i.e., gendered racism, sexism, and isolation), trauma symptoms and physical health concerns, …

The Phytochemical Content And Antibacterial Activity Of Purified Extract Of Mangifera Indica L. Against Gram Positive Pathogen, Dewi Andini Kunti Mulangsri, Masduki Faqih, Sugar Arifin, Mutiara Trie Sieya Agustin

Pharmacology and Clinical Pharmacy Research

The purified extract of arum manis mango leaves contained flavonoid compounds by TLC methods and antibacterial activity against Gram-positive and negative pathogens. This research aimed to identify and determine the phytochemical content (mangiferin and flavonoids content) and antibacterial activity against other Gram-positive pathogens. Purification of ethanol extract of arum manis mango leaves by liquid-liquid fraction method. Determination of total flavonoid content and identification of mangiferin used respectively by aluminum chloride and Thin Layer Chromatography method. The disk diffusion method was used to assay antibacterial activity against S. epidermidis, and B. subtilis bacteria with the concentration of the sample such …

The Rider (2026-08-31), Daniela Chapa-Reyes

The Rider Archives

Vol. 12, No. 2

A Post-Positivist Perspective On The Varieties Of Qualitative Research: The Foris Framework, Marius Bytautas

The Qualitative Report

With the aim of bringing clarity to the realm of qualitative research—and offering a transition from tradition to methodological rationale—I employ Millian and Popperian inductive analysis methods to build a post-positivist account regarding the diversity of qualitative research varieties. I am responding to the problem that common labels in qualitative research often obscure the epistemic reasoning through which a study approaches its object. A brief set of working definitions is introduced to support the framework, but the main contribution is the conceptualization of research approach in five dimensions: focus, orientation, relation to the object, researcher intrusiveness, and scale (FORIS). By …

Exposing And Addressing Machine Learning Brittleness Through Constraint Solving, Muyeed Ahmed

Dissertations

Machine Learning (ML) implementations are fundamentally brittle: nondeterministic, inconsistent, and prone to overfitting; however, constraint solving can be used to systematically expose, quantify, and address this brittleness.

This dissertation first establishes that widely-used implementations of popular ML algorithms are nondeterministic (producing different outputs on the same input, across different runs) and inconsistent (different implementations of the same algorithm producing different outputs on the same input). This is more prevalent in Unsupervised Learning (UL) implementations where, due to the lack of a ground truth, subtle execution errors can go unnoticed and are difficult to verify. Nondeterminism and inconsistency also introduce security …

Development Of Ultrafast Protein Digestion And Standards Free Quantitation Methods For Mass Spectrometric Analysis, Praneeth Ivan Joel Fnu

Dissertations

A wide variety of biologically important molecules, such as enzymes, antibodies, hormones, transporters and receptors are proteins by composition and they play key roles in biological functions such as cellular regulation, communication, metabolism and physiological function. Protein dysfunctions and abnormalities are associated with numerous diseases, making proteins critical targets for understanding disease mechanisms and developing therapeutic interventions. Protein-based therapeutics such as monoclonal antibodies, hormones and vaccines gained popularity due to their high specificity, efficacy, and ability to treat complex diseases that are often difficult to address with small-molecule drugs.

Given the important role of proteins in a variety of biological …

The Inverse Elasto-Acoustic Problem, Patrick Grice

Dissertations

A stable and numerically efficient boundary integral method formulation of the elasto-acoustic problem is presented, based on Fourier analysis. The method generalizes well to multiple scattering. The Frechet derivative of the elasto-acoustic problem with respect to shape perturbations is derived, and geometric flow theory is used to design stable numerical methods for the simulation of moving boundaries. The shape derivative is used to define a regularized Gauss-Newton algorithm for shape fitting of elasto-acoustic scatterers.

Geometric Convergence And State-Space Decompositions For Stochastic Gradient Descent Markov Chains, Philip Zaleski

Dissertations

No abstract provided.

Solar Wind - Magnetosphere - Ionosphere Coupling Processes Through Small-Scale Magnetic Flux Ropes, Youra Shin

Dissertations

Small-scale magnetic flux ropes (SMFRs) in the solar wind are examined to determine their properties in the near-Earth upstream region and their effects on geospace. Although SMFRs are observed frequently in the solar wind, their statistical behavior near Earth and their role in solar wind-magnetosphere-ionosphere coupling remain insufficiently constrained. In this dissertation, an automated Grad-Shafranov reconstruction technique is applied to magnetic field and plasma measurements from MMS and Wind, and ionospheric responses are investigated using geomagnetic indices and SuperDARN observations. During the survey period, MMS has an apogee of approximately 25-29 R_E. This orbital configuration allows the near-Earth …

A Discrepancy Evaluation Of Workforce Capacity And Emerging Skills: A Utah Case Study, Lendel K. Narine, Paul A. Hill, Andreé Walker-Bravo

Extension Research

This study examined employer-perceived competency discrepancies, anticipated competency requirements, hiring barriers, and valued educational experiences in Utah. Survey data were collected between September and October 2025 from 226 individuals with hiring responsibility in Utah-based organizations. The Ranked Discrepancy Model (RDM) quantified discrepancies between respondents’ ratings of competency importance and their satisfaction with demonstrated employee proficiency. Respondents reported the largest discrepancies for time management, critical thinking, conflict resolution, ethical judgment, and verbal communication of ideas. Respondents rated communication, collaboration, analytical thinking, and lifelong learning highest among competencies anticipated to matter most over the next five to ten years. Most employers identified …

Predictive Modeling Of Heavy Metal Pollution And Ecological Risk For Sustainable Water Quality Management In The Ny–Nj Harbor System, Md Shahnul Islam, Sara Naveed, Huan Feng, Tapos Kumar Chakraborty

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Evaluating and forecasting surface water quality is essential for protecting aquatic ecosystems and improving water resource management. This study introduces a novel paradigm that integrates machine learning (ML) with the potential ecological risk index (PERI) to dynamically forecast, rather than statically assess, ecological risks from heavy metal contamination in an urban estuarine environment. Surface water samples from the Lower Passaic River in New Jersey, USA, were analyzed for copper (Cu), lead (Pb), and mercury (Hg) across multiple sites and sampling campaigns. Concentrations ranged from 3.1 to 42.6 µg/L for Cu, 1.8 to 25.4 µg/L for Pb, and 0.12 …

Informationally Complete Measurements In Quantum Theory: Implementation, Geometry, And Correlations, Sachin Gupta

Graduate Doctoral Dissertations

Informationally complete measurements provide a bridge between the operational and geometric structure of quantum theory. They allow quantum states to be reconstructed from measurement probabilities. This thesis studies informationally complete measurements from two complementary perspectives: their physical implementation and their role in the probabilistic reconstruction of quantum theory.

The first part develops a symmetry-driven Naimark extension for rank-one Weyl- Heisenberg covariant Projective Operator-Valued Measures (POVMs) in arbitrary finite dimension. Since every element of such a POVM is generated from a single fiducial state by the Weyl-Heisenberg displacement operators, the full measurement inherits a strong covariance structure. We show that this …

Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites: Ur-35 Construction Completion Report (Ccr), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

The purpose of this Butte Priority Soils Operable Unit (BPSOU) Unreclaimed (UR) Sites Construction Completion Report (CCR) is to describe the tasks completed as described in the Final BPSOU UR Sites: UR-35 Remedial Action Work Plan (RAWP) (referred to herein as RAWP; Atlantic Richfield Company, 2025) (Appendix A). This CCR was prepared to outline Remedial Action (RA) tasks performed at the UR source area, UR-35, within the BPSOU (referred to herein as UR-35 Site or Site) as part of the Further Remedial Elements Scope of Work described in the BPSOU Consent Decree (EPA, 2020). All work was completed according to …

Determination Of The Content Of Water-Soluble Vitamins In The Composition Of Beet Beetroot Composition, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, Muhammad Rasul Oglu Najafli, Doston Ishmuhammat Ugli Samandarov

Chemical Technology, Control and Management

The aim of this study was to determine the content of water-soluble vitamins in various parts of beetroot (pulp, leaves and stems) that had been subjected to various drying methods in a bid to explore the effect of physical processes, i.e., the application of ultrasound, on micronutrient preservation. The experiments were performed at the Department of Service Technologies of Tashkent State Technical University, and chromatographic analysis was performed in the Institute of Bioorganic Chemistry of the Academy of Sciences of the Republic of Uzbekistan. Chromatography was performed on Agilent-1200 chromatograph with Exlipse XDB C18 column and diode array detector using …

Mathematical Models Of Magnetoelastic Acceleration Transducers Developed Based On The Theory Of Lumped Parameter Circuits, Amirov Fayzullayevich Sulton, Kamila Kamilovna Jurayeva, Shovkat Dilshodovich Turayev

Chemical Technology, Control and Management

In this article, based on the theory of lumped-parameter circuits, algebraic and differential equations describing the mechanical, electrical, and magnetic circuits of new magnetoelastic acceleration transducers, their analytical solutions, as well as mathematical models establishing the relationship between the electromotive forces at the outputs of the transducers and acceleration, which is the input quantity of the transducer, have been developed. Analysis of these mathematical models and the graphs constructed on their basis shows that under the influence of acceleration applied to the transducers, with an increase in the mechanical stresses arising in the magnetic circuit of the transducer, a redistribution …

Optimal Procedure For Measuring The Parameters Of Optical Signals Considering Noise, Yuriy Gennadyevich Shipulin, Azimjon Mamadaliyevich Xusanov

Chemical Technology, Control and Management

It has been shown that to achieve the required level of measurement accuracy and reliability, it is necessary to transition from quality control of finished products to quality management based on cost-effective methods during the stages when product properties are formed. It is shown that the complexity of measuring optical signal parameters during analysis or synthesis requires them to be considered as part of a general information processing system. Based on the nonlinear filtration method, an optimal procedure for measuring a variable position in time against a background of spatial noise was obtained. Structural diagrams of optimal measuring instruments for …

Fast Algorithms For Combined Synthesis Of Dynamic Object Control Systems, Isomiddin Khakimovich Siddikov, Gulchexra Alimova

Chemical Technology, Control and Management

The paper considers the issues of combined synthesis of a control system for a nonlinear dynamic object. The combined synthesis algorithms are based on the hybrid application of the theory of ordinary differential equations in the Cauchy form and the theory of automatic control. In this case, the dynamics of the control system are described in the input-output representation and by state-space equations. Algorithms for solving stabilization problems, finite control, and the inverse dynamics problem are presented in explicit form. These algorithms are based on the concept of reducibility of a general Cauchy-form system to the block-canonical Frobenius form. The …