Neural Network Modelling Of Magnetic Effects In Solid-State Transformer Performance Under Variable Magnetic Operating Conditions, Godfrey Murairidzi Gotora, Blessed Ziyambe, Emanuel Rashayi

Engineering and Technology Journal

Solid State transformers (SSTs) are pivotal for renewable energy integration and smart grids, yet their performance is critically limited by non-linear magnetic effects such as core losses, flux- density saturation, and magnetising-inductance drift, that conventional analytical methods and prior artificial neural network (ANN) studies have struggled to model simultaneously across the electrical, thermal and magnetic domains. This study develops and evaluates a unified multi-output ANN framework that predicts six SST performance indicators which are efficiency, power density, total harmonic distortion, temperature rise, core loss and magnetising inductance from six operating variables (switching frequency, duty cycle, load current, ambient temperature, input …

The Mathematical Model Predicts Peripheral Blood Cd34+ Cell Yield And Blood Volume Processing For Peripheral Blood Stem Cell Apheresis., Rattaporn Vichitratchaneekorn, Kanokpol Siriphanthong, Kanokwan Chinbordee, Phandee Watanaboonyongcharoen, Ponlapat Ronjnuckarin

Chulalongkorn Medical Journal

Introduction: The accurate prediction of stem cell yields is important for planning peripheral blood stem cell (PBSC) collection. This study aimed to develop a formula forecasting required blood volume processing to ensure adequate CD34+ cell products.

Methods: Data from donors and patients who underwent PBSC apheresis conducted at a tertiary care hospital were reviewed. BD FACSCanto™ II and Navios EX flow cytometry machines were used to determine the pre-collection CD34+ cell counts (preCD34).

Results: Of 50 donors and 85 patients, 145 leukapheresis procedures were performed. Linear regression models accurately predicted absolute CD34+ cell yields from pre-apheresis values, supporting optimal procedural …

Complementing Topographic Wetness With Sentinel-2 Phenological Indices To Map Soil Moisture Gradients In A Snowmelt-Driven Mountain Floodplain, Edward Turk

Master's Projects and Capstones

Soil moisture in mountain floodplains varies over a few meters, far finer than ground-based sensors or coarse satellite images resolve; conventional optical and microwave methods sense only the top few centimeters, missing the root zone that governs plant function and biogeochemistry. Similarly, topography-derived moisture variations miss micro-heterogeneities in moisture related to intrinsic soil heterogeneity and/or the root zone. This has important implications for our ability to characterize local hotspots of biogeochemical reactions, like those related to the generation of methane. In this work, we read vegetation as a proxy for the subsurface, using Sentinel-2 land-surface phenology to infer root-zone moisture, …

Transmutation Of Psychological Phenomena (Academic Burnout And Fomo) Into Cyanotype Art Creation, Zulfan Ali Mujtaba, Adi Kuntoro

Paradigma: Jurnal Kajian Budaya

The pressure of hustle culture and the Fear of Missing Out (FOMO) in the digital era have triggered an escalation of academic burnout among students, demanding alternative psychological recovery interventions beyond verbal clinical approaches. This research aims to explore the creation of alternative Cyanotype photography as a medium for catharsis and resistance against toxic productivity. Utilizing a Practice-Based Research methodology with an autoethnographic approach, data were extracted from the researcher's subjective experiences and transmuted into a visual artifact titled "Metamorfosis yang Lelah". The cultural studies approach and wabi-sabi aesthetics are specifically applied to analyze visual elements in the Prussian Blue …

Cmsi Translations #35: How To Leverage The "Butterfly Effect" To Cause The Collapse Of "Taiwan Independence" Elements?, Su Ming

CMSI Translations

Intelligent Tools for Designing Operational Concepts: Intelligent Agents Innovating Mechanisms for Victory

If a large model is likened to a machine, interacting via conversation is akin to a worker manually operating that machine. Although machine tools have significantly reduced human workloads, “manual operation” still entails challenges: demanding skill requirements for operators; difficulty in resolving complex, specialized tasks through conversation alone; difficulty in standardizing and reusing repetitive workflows; susceptibility to hallucinations; and the time- and labor-intensive nature of verifying results. To this end, the Department of Theoretical Innovation Research has proposed a technical roadmap for programming large models. The underlying concept …

Illinois Model Programs Of Study Guide: Education (Draft For Public Comment), Education Systems Center

Practitioner Toolkits and Resources

This draft was available for public comment through September 30, 2026. A final version will be released in October 2026.

Illinois Model Programs Of Study Guide: Digital Technology (Draft For Public Comment), Education Systems Center

Practitioner Toolkits and Resources

This draft was available for public comment through September 30, 2026. A final version will be released in October 2026.

Clinic-In-A-Box: A Portable, Software-Defined Cyber Range For Realistic, Scenario-Based Cybersecurity Training, Ethan Chumley, Aaron Nair, Royce Yaezenko, Joshua Payne, Veronika Kyles, Paul Wagner, Robert J. Honomichl, Ryan Straight, Shengjie Xu

Journal of Cybersecurity Education, Research and Practice

Realistic, hands-on cybersecurity training has traditionally depended on fixed infrastructure such as dedicated lab hardware, cloud subscriptions, or permanent network connectivity, limiting where and how often it can be delivered. This paper presents the design and implementation of a portable, scenario-based cybersecurity training platform housed in a single travel case and built from commodity hardware, type-1 hypervisor virtualization, containerized service orchestration, and software-defined networking. The platform clones, isolates, and resets complete lab environments on demand, allowing the same physical system to support repeated classroom, workshop, or field deployments with minimal manual reconfiguration. Training scenarios are grounded in generated organizational profiles …

Design Of A Smart Esp32-Based Iot Prototype Using Azure Iot Hub For Automatic Detection, Neutralization, And Safe Disposal Of Acidic And Basic Chemical Waste In Laboratory Environments, M.J. Fernando, K.C.K.V. Samarathunga, G.A. Heshan, J.A.D.S.R. Jayasinghe, K.S.R Perera, K.G.C.M. Perera, K.D.T.D. Jayasuriya, S.M.H.M. Koswatta

Journal of Innovation in Science, Engineering and Technology

The generation of acidic and alkaline laboratory waste remains an enduring safety and environmental problem in educational institutions, research laboratories, and small-scale industrial settings. In many such environments, neutralization is still performed manually through intermittent pH measurement and operator judgement. This practice is slow, inconsistent, and potentially hazardous, particularly when corrosive substances are involved. The present study proposes and evaluates a smart Internet of Things (IoT) prototype that automates the detection, neutralization, and monitoring of laboratory chemical waste by integrating edge intelligence with secure cloud telemetry.
The proposed system is centered on an ESP32-S3-N16R8 microcontroller, a DFRobot SEN0161 pH sensor, …

Spatial Association Of Acute Respiratory Infection, Diarrhea, And Low Birth Weight With Stunting Prevalence In Indonesia, 2024, Dian Rosadi, Husaini Husaini, Triawanti Triawanti, Musafaah Musafaah

Kesmas

Stunting remains unevenly distributed across Indonesia, but national evidence integrating spatial analysis and spatial regression is limited. This study examined the spatial distribution of stunting and its associations with acute respiratory infection (ARI), diarrhea, and low birth weight (LBW) across Indonesian provinces. An ecological cross-sectional study used data from the 2024 Indonesian Nutritional Status Survey. Stunting-only analyses included all 38 provinces, whereas analyses involving ARI, diarrhea, and LBW included 37 provinces with complete data. Spatial analyses used a row-standardized symmetric four-nearest-neighbor spatial weights matrix and included Global Moran’s I, bivariate spatial analysis, Local Indicators of Spatial Association, ordinary least squares, …

Microrheological Characterization Of Collagen-I Extracellular Matrix Remodeling During Tr146 Tumor Spheroid Invasion And Ppix-Mediated Photodynamic Therapy, Himantha Dilshan Saldonge

Graduate Masters Theses

Oral squamous cell carcinoma (OSCC) invasion is strongly regulated by interactions between tumor cells and the surrounding extracellular matrix (ECM). However, localized ECM mechanical changes during tumor invasion and after photodynamic therapy (PDT) remain insufficiently understood. This study mainly investigated: time-dependent viscoelastic remodeling of collagen-I ECM during TR146 tumor cell invasion, visualization of time-dependent TR146 tumor cell invasion and post-PDT response using live/dead fluorescence imaging, and the direct effect of PpIX-mediated PDT on the viscoelastic properties of spheroid-free collagen-I ECM. Three-dimensional TR146 spheroids were generated using a non-adherent agarose-based method, surrounded by a basement-membrane-like Matrigel layer, and embedded in 3.0 …

Symmetry Breaking And Restoration In The Grasshopper Ising Model, Aradh Bisarya

Graduate Masters Theses

Distance-selective interactions in Ising systems give rise to a range of rich and unexpected phenomena. A notable example is the so-called Grasshopper Ising model, a conserved spin Ising model with interactions only between spins at a fixed distance. This model is the discrete version of the following mathematical problem: A grasshopper lands at a random point on a planar lawn of area one. It then makes one jump of fixed distance in a random direction. What lawn shape maximizes the probability that the grasshopper lands on the lawn after the jump? The solution to this problem, corresponding to the ground …

Symmetric Informationally Complete Positive Operator Valued Measures Minimize P-Norm Difference Between Quantum And Classical Probability Rules, Austin Monaghan

Graduate Masters Theses

Experimental violations of Bell's inequality demonstrate quantum theory's incompatibility with a local hidden-variable formulation. Simply put, either 1) measurements performed at one point in space may instantaneously influence far away systems ("spooky action at a distance") or 2) measurement outcomes are not the result of pre-existing properties. The act of measurement takes part in the very creation of the outcomes. If we reject condition 1 as a valid assumption, how can we interpret the significance of condition 2 i.e. no local parameters?  In QBism, condition 2 arises from something deeper: that the Born rule expresses a nonclassical condition for connecting …

Infrared Detectability Of Whale Species And Behaviors To Enhance Automatic Detection For Real-Time Vessel Strike Avoidance, Laura J. Howes

Graduate Masters Theses

Real-time detection of large whales at sea is critical for mitigating serious injury and mortality from ship strikes and other human activities such as seismic surveys, especially for endangered species such as the critically endangered North Atlantic Right Whale (Eubalaena glacialis). Traditional marine mammal observers are limited by environmental conditions and human factors, necessitating a robust, 24-hour solution. This study investigates the efficacy of a novel onboard detection tool infrared (IR) technology to detect whale blows and body parts. While IR is a promising advancement, its performance under varying sea conditions (e.g., fog, humidity) and its ability to …

A Variational Algorithm For Preparing Superoptimal Thermal States For Quantum Thermometric Measurement Adaptable To Nisq Hardware, Nicholas Donatelli

Graduate Masters Theses

The conditional thermal state (CTS) is a probe-specific quantum thermal state that is known to outperform the Gibbs state in quantum thermometric measurements at sufficiently low temperatures. This thesis introduces a variational quantum algorithm designed to prepare the CTS on quantum computing hardware which optimizes the angular parameters of the quantum gates that comprise the ansatz circuit and, for the one-qubit case, minimizes relative infidelity of the output state with the known CTS. Using noiseless numerical simulations (SPSA with Qiskit), attempting to prepare the CTS yielded relative infidelities with the known CTS on the order of $10^{-5}$ for most parameter …

Synthesizing Viscoelasticity: Living Polymers, Micro-Macro Relations, And Paths For Resolution, Adam M. Hasler

Graduate Masters Theses

This thesis investigates the relationship between macroscopic rheological signals and underlying microscopic dynamics in complex fluids, specifically focusing on ”living polymers” within the cetyltrimethylammonium bromide (CTAB) and sodium salicylate (NaSal) surfactant system. The research addresses the inverse parameterization problem, demonstrating how bulk measurements like zero-shear viscosity can mask fundamentally different physical topologies, such as purely cylindrical, reptating micelles versus highly branched networks. Through the successful synthesis of viscoelastically ”degenerate” samples, the study utilizes an array of characterization techniques including frequency sweeps, Large Amplitude Oscillatory Shear (LAOS) to resolve these unique underlying states. Furthermore, the work explores further avenues of study …

Toward The Study Of Photon Dynamics In Non-Separable Spacetimes, Kara Nelson

Graduate Masters Theses

Black holes provide a unique laboratory for testing general relativity in the strong-field regime through observations such as black hole images and gravitational wave signals. Comparing theoretical predictions with these observations requires accurate numerical models of photon trajectories. This thesis develops and validates a generalized ray-tracing framework for computing null geodesics in stationary, axisymmetric spacetimes. Unlike many existing ray-tracing methods, the framework does not rely on metric separability or analytic solutions, allowing it to be applied to both separable and non-separable spacetimes. The framework is validated by reproducing known Schwarzschild and Kerr results and is applied to a quasi-Kerr spacetime …

The Sliding Aperture Transform: A Mathematical Method Applied To Radiation-Induced Dlts Capacitance Transients, Md Abu Bakkar Siddique

Graduate Masters Theses

This thesis presents the Sliding Aperture Transform (SLAPt), a novel mathematical technique for extracting exponential argument and pre-factor  from experimental data. The method transforms measured waveforms into an inverse-domain representation where exponential decay processes appear as distinct peaks, simplifying data analysis and reducing the effects of baseline offsets and noise. The technique is here applied to time dependent capacitance transients associated with irradiated and non-irradiated silicon pn junction diodes. The technique is further developed and applied to positive argument exponentials using an axillary function. This allows forward bias  current-voltage measurements, and forward pulse-bias current transient measurements to be SLAP analyzed, …

Spider Biodiversity And Insecticide Sensitivity Across Active And Restored Cranberry Bogs On Nantucket, Tyler J. Kulak

Graduate Masters Theses

Spiders are one of the most diverse groups of organisms on the planet with over 53,000 species described as of 2026. They provide a suite of ecosystem services including their regulation of problematic pests in agricultural systems, appearing in high biomasses across a breadth of ecological niches. While beneficial as pest regulators, they are also susceptible to the same management techniques as pest organisms and are especially vulnerable to chemical control. Cranberry production in Massachusetts likely benefits from spider ecosystem services, but diversity research on spiders in these systems is limited. This study compares the diversity of spider populations from …

Electrolyte Development And Interfacial Reactions At Multivalent Metal Anode For Next Generation Energy Storage Systems, Leslie Gates

Graduate Masters Theses

The increasing demand for safe, sustainable, and high-performance energy storage systems has driven significant interest in multivalent-ion batteries, including aluminum, magnesium, and zinc-based systems. These technologies have attracted attention due to their high theoretical energy densities, natural abundance, low cost, and environmentally benign nature. However, their development remains hindered by a limited fundamental understanding of electrolyte development and interfacial processes at the electrode–electrolyte interface, where complex electrochemical interactions govern battery performance and stability.

This thesis investigates electrode–electrolyte interactions in both a novel aluminum electrolyte and divalent magnesium and zinc systems. Beginning with the development and characterization of a novel aluminum …

Towards The Development Of Targeted And Quantitative Mass Spectrometry Methods For The Investigation Of Biological Systems, William Gazlay

Graduate Doctoral Dissertations

Mass spectrometry has become an essential analytical platform for the characterization of complex biological systems, enabling detailed investigation of molecular structure, post-translational modifications, and protein expression. This dissertation applies modern mass spectrometry methodologies to three analytical challenges spanning lipidomics and proteomics.

The first study examined the influence of complexing agents on the sensitivity of collision-induced dissociation (CID) spectra to fatty acid position in synthetic XYZ-type triglycerides. Comparison of ammonium, lithium, and sodium adducts demonstrated that alkali metal adducts provide substantially improved positional sensitivity and greater consistency across triglyceride systems. These findings support the use of lithium and sodium adducts for …

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 …