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Analysis Of Extended Producer Responsibility In E-Waste Management: Policy Drivers And Challenges In Singapore, Aldy Gunawan, Aidan Marc Wong, Tasaporn Visawameteekul, Minh Phuong Huynh, Linh Chi Tran Sep 2026

Analysis Of Extended Producer Responsibility In E-Waste Management: Policy Drivers And Challenges In Singapore, Aldy Gunawan, Aidan Marc Wong, Tasaporn Visawameteekul, Minh Phuong Huynh, Linh Chi Tran

Research Collection School Of Computing and Information Systems

This paper examines the role of the Extended Producer Responsibility (EPR) scheme in electronic waste (e-waste) management in Singapore. It investigates the policy drivers and challenges of e-waste management, using data from an online survey to explore the attitudes and behaviors of young consumers, with a particular focus on youth. We employ the Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB) frameworks to develop a model that examines the relationships among attitudes, perceived norms, awareness, and perceived convenience in relation to EPR awareness and perception. The findings highlight the need for customized policies tailored to different …


Karhunen-Loève Modes For Coherent Arrays, Jack E. Mccrae, Santasri R. Bose-Pillai, Steven T. Fiorino Sep 2026

Karhunen-Loève Modes For Coherent Arrays, Jack E. Mccrae, Santasri R. Bose-Pillai, Steven T. Fiorino

Faculty Publications

The optimal modes for correcting atmospheric turbulence on coherent arrays are determined. These Karhunen-Loève modes are eigenvectors of a covariance matrix. Creating this covariance matrix requires knowledge of the power spectrum of the turbulence, the aperture geometry, and a basis set for the matrix. The Kolmogorov power law is ordinarily chosen here for the turbulence spectrum. By choosing the phase on each array subaperture element minus the phase averaged over all subapertures as this basis, infinite values in the variances and covariances can be avoided. The piston mode of the whole array, which would otherwise also be infinite, is thus …


Constrained Multiview Contrastive Learning For Jointly Supervised Representation Learning, Siyuan Dai, Kai Ye, Kun Zhao, Yang Du, Haoteng Tang, Liang Zhan Sep 2026

Constrained Multiview Contrastive Learning For Jointly Supervised Representation Learning, Siyuan Dai, Kai Ye, Kun Zhao, Yang Du, Haoteng Tang, Liang Zhan

Computer Science Faculty Publications

Purpose

To develop a mutual information (MI)–based mechanism for quantifying representation distance, and to introduce a constrained multiview learning paradigm that dynamically re-ranks and selects sample views, thereby improving contrastive representation learning for lung lesion segmentation on CT images—addressing the difficulty of measuring distances in high-dimensional feature spaces and the impracticality of constructing large positive–negative sample banks in the medical domain.

Materials and Methods

The proposed framework, termed MIMIC (Mutual Information-based constrained Multi-view Contrastive learning), generates multiple frequency-domain views of CT images and performs a dynamic MI-based representation re-ranking and selection process to improve the quality of positive and negative …


Morphometric Analysis Of Gypsum Depressions Using Drone Imagery At Sinkhole Flat, Eddy County, New Mexico, Usa, Michael Sean Chenoweth Sep 2026

Morphometric Analysis Of Gypsum Depressions Using Drone Imagery At Sinkhole Flat, Eddy County, New Mexico, Usa, Michael Sean Chenoweth

Research, Publications & Creative Work

Morphometric analysis is conducted on five karst depressions in Permian-age gypsum of southeast New Mexico. These depressions take on the form of classically shaped blind valleys and sinkholes. Blind valleys in this study are disappearing surface streams composed of multiple tributaries that connect to the main trunk channel leading to a cave entrance. A visible light (RGB) sensor mounted on a quadcopter is used to collect aerial imagery for karst depression mapping and analysis. Field measurements were taken for each depression for comparison with the drone imagery and its derivative layers such as digital elevation model (DEM) and slope. Drone …


Shadowless In A World Of Shadows: Diminishing The Refraction Of Light Via Nanoconfinement, Vuk Uskoković Sep 2026

Shadowless In A World Of Shadows: Diminishing The Refraction Of Light Via Nanoconfinement, Vuk Uskoković

Administration and Staff Articles and Research

This paper presents a physicochemical study that merges science and art in the context of exploring the refractive index of water under nanoconfinement. Using a simple and economical experimental approach, it is shown that confinement within the micropores of a zeolitic structure, characterized using electron microscopy and X-ray diffraction, paradoxically reduces the refractive index of water, bringing confined water droplets closer to a shadowless state. Counterintuitively, water under confinement, as indicated by vibrational spectroscopic analyses performed in the transmittance mode in the IR range and reflectance mode in the near-IR range, exhibits greater structural freedom than in its bulk or …


Catalytic Synthesis Of Protoberberine Alkaloids And Their Evaluation As Selective Dopamine Receptor Ligands, Ashok Reddy Gudipally Sep 2026

Catalytic Synthesis Of Protoberberine Alkaloids And Their Evaluation As Selective Dopamine Receptor Ligands, Ashok Reddy Gudipally

Dissertations, Theses, and Capstone Projects

Dopamine regulates motor control, cognition, reward, motivation, and neuroendocrine signaling. Disruption of dopaminergic neurotransmission is closely linked to central nervous system disorders, including Parkinson’s disease, schizophrenia, addiction, and related neuropsychiatric conditions. Because these functions are mediated by multiple dopamine receptor subtypes with distinct roles in physiology and disease, the discovery of subtype-selective ligands remains an important goal in neuropharmacology. Within this context, protoberberine alkaloids, particularly tetrahydroprotoberberines (THPBs), are attractive molecular frameworks because they combine structural complexity with broad biological relevance, including measurable activity in CNS-related diseases. Prior work from our laboratory and others established (–)-stepholidine (1.60) as an important lead …


Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci Sep 2026

Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci

Dissertations, Theses, and Capstone Projects

Comprehensive visualization of the retina is essential for diagnosing and monitoring blinding diseases such as Diabetic Retinopathy and Retinopathy of Prematurity (ROP), where pathological changes often extend beyond a single field of view. Despite significant advances in automated retinal image analysis, clinical deployment remains limited by two fundamental data gaps: a structural learning gap, arising from scarce expert annotations and poor generalization across imaging domains, and a spatial coverage gap, caused by the difficulty of acquiring multi-view retinal images in fragile populations. Although these challenges are often addressed independently, this dissertation argues that they are tightly coupled: accurate, …


Model-Theoretic Arguments In Philosophy, Peter Susanszky Sep 2026

Model-Theoretic Arguments In Philosophy, Peter Susanszky

Dissertations, Theses, and Capstone Projects

This dissertation is on model-theoretic arguments in philosophy, especially those of Quine, Davidson, and Putnam. In the first part, to ground the debate, I give a rigorous introduction to the salient parts of first-order model theory. I start the second part by giving an introduction to Quine's philosophy, and how the model-theoretic arguments fit into it. After considering how Donald Davidson adopted the Quinean lesson, I move on to Putnam's model-theoretic arguments. Putnam's spin on these model-theoretic considerations significantly departs from Quine and Davidson, while retaining many of the core ideas. Most importantly, I argue that the target of Putnam's …


Potential Energy Landscape Formalism For Quantum Liquids, Yang Zhou Sep 2026

Potential Energy Landscape Formalism For Quantum Liquids, Yang Zhou

Dissertations, Theses, and Capstone Projects

Atomic delocalization due to nuclear quantum effects (NQE) remains poorly understood in low-temperature liquids near the glass state and during vitrification. Many liquids can be described accurately by treating their nuclei as classical particles, but this approximation fails for light elements such as He and H₂, small hydrogen-containing molecules such as water, and systems in which zero-point motion or isotope-substitution effects are important. Developing a general thermodynamic and statistical-mechanical description of such liquids has been challenging. This dissertation extends the potential energy landscape (PEL) formalism, originally developed for classical liquids and glasses, to liquids that obey quantum mechanics and exhibit …


Mapping The Water Quality Of Jamaica Bay, New York (1996-2024): Principal Component Analysis And K-Means Clustering, Sneha Srivastava Sep 2026

Mapping The Water Quality Of Jamaica Bay, New York (1996-2024): Principal Component Analysis And K-Means Clustering, Sneha Srivastava

Dissertations, Theses, and Capstone Projects

Jamaica Bay, located along the southeastern coast of New York City, acts as a biodiverse estuary of wetlands, meadows, and salt marsh islands. The purpose of this study is to analyze the water quality conditions of the region over time, comparing locations around the bay to identify hyperlocal features that influence larger trends in the hydrological system. Ten variables were used as water quality indicators, including total Kjeldahl nitrogen, salinity, pH, Secchi disk depth, and total phosphorus, among others, across five stations in the bay, between 1994 and 2024. After data cleaning and standardization methods were applied, principal component analysis …


Rethinking Road Racing Standards: Comparing New York Road Runners Race Results To Running Industry Standards, Jennie Coughlin Sep 2026

Rethinking Road Racing Standards: Comparing New York Road Runners Race Results To Running Industry Standards, Jennie Coughlin

Dissertations, Theses, and Capstone Projects

Running has undergone a third boom in participation since 2020, driven largely by people seeking fitness options that were outside and socially distanced during the COVID-19 pandemic. Social media has also allowed runners from groups that did not traditionally participate to find community. As the road racing population has expanded to include more people, some road racing industry standards have not kept up. This project assesses what the road racing community looks like and measures industry standards against the community of participants to see what changes in those standards would be needed to make them inclusive for all participants.

To …


The Role Of External Factors In Shaping Carbohydrate Conformational Landscapes, Murat Yaman Sep 2026

The Role Of External Factors In Shaping Carbohydrate Conformational Landscapes, Murat Yaman

Dissertations, Theses, and Capstone Projects

Carbohydrates (glycans) are among the most structurally diverse biomolecules and participate in a wide range of biological processes, including molecular recognition, cell adhesion, immune response, host-pathogen interactions, and cellular signaling. Their biological functions are governed by a complex interplay between sequence, stereochemistry, conformational flexibility, and environmental factors. However, the structural heterogeneity and dynamic nature of glycans present significant challenges for both experimental characterization and theoretical modeling. In particular, the relationships between glycan structure, conformational dynamics, and the resulting potential energy surfaces remain incomplete.

This dissertation investigates how external factors modulate the potential energy surfaces of carbohydrates through a combination of …


Ultrafast Spectroscopy Of Organic Materials In Strong Light–Matter Interaction And Terahertz Optics, Kamyar Rashidi Sep 2026

Ultrafast Spectroscopy Of Organic Materials In Strong Light–Matter Interaction And Terahertz Optics, Kamyar Rashidi

Dissertations, Theses, and Capstone Projects

Ultrafast spectroscopy is a powerful tool for investigating phenomena that occur on extremely short timescales and for probing ultrabroadband spectral responses enabled by its ultrashort laser pulses. These capabilities are essential for advancing both the fundamental understanding of light–matter interactions and the development of next-generation optoelectronic technologies. The first part of this thesis investigates the ultrafast dynamics of organic exciton–polaritons and their application to controlling molecular excited-state processes using momentum-resolved pump–probe spectroscopy. A major challenge in these systems is the dark-state problem, where photoexcitation predominantly populates long-lived excitonic reservoir states that obscure the in trinsic dynamics of the hybrid light–matter …


Self-Organized Criticality In Biased Activated Random Walk, Joshua Meisel Sep 2026

Self-Organized Criticality In Biased Activated Random Walk, Joshua Meisel

Dissertations, Theses, and Capstone Projects

We demonstrate many of the conjectured universality and self-organized criticality (SOC) properties of the interacting particle system Activated Random Walk (ARW) in the setting of one-dimensional biased walks, as formulated for instance in Levine and Silvestri’s 2024 survey. Namely, there exists the same limiting critical state for two finite ARW models, as well as for the infinite model as the density approaches its critical value from below. Many of the desired properties hold, including heavy-tailed avalanches, but spatial correlations decay exponentially fast, a deviation from the SOC paradigm. Nonetheless, the obtained decay rate vanishes with the bias. Since the critical …


Applications Of Entanglement In Quantum Information, Nada Ali Sep 2026

Applications Of Entanglement In Quantum Information, Nada Ali

Dissertations, Theses, and Capstone Projects

Entanglement is the resource that most sharply distinguishes quantum information processing from its classical counterpart, and this thesis examines it from two complementary directions: how it can be detected and quantified, and how it, together with the broader machinery of quantum correlations, interference, and measurement, can be put to use. We first study two simple, measurable conditions that detect bipartite entanglement, and show that the extent to which either is violated yields a lower bound on the negativity of a state. The bound is established for two qubits, extended to systems of arbitrary finite dimension, and sharpened when partial knowledge …


Behind The Score: The Influence Of Neighborhood Policy Contexts On New York Regents Exam Performance Across New York City Public High Schools, Philip J. Kovacevic Sep 2026

Behind The Score: The Influence Of Neighborhood Policy Contexts On New York Regents Exam Performance Across New York City Public High Schools, Philip J. Kovacevic

Dissertations, Theses, and Capstone Projects

This study used a two-level hierarchical linear model (HLM) to test whether New York City neighborhood zoning and land-use characteristics independently predict school-level performance on the New York State Regents Examinations, after controlling for school demographic and organizational characteristics, and Regents mean scores, both drawn from the NYC DOE's Regents Exam Results file (NYC Public Schools InfoHub, 2024). Using NYC Primary Land Use Tax Lot Output (PLUTO) 2025 data, a Neighborhood Educational Quality (NEQ) index was built for each of the city’s 42 community districts by combining the commercial floor area ratio (CommFAR) and the proportion of lots zoned residential …


Cavity Optomechanics Via Mechanically Induced Coupling Of Optical Modes, Satyam S. Jha Sep 2026

Cavity Optomechanics Via Mechanically Induced Coupling Of Optical Modes, Satyam S. Jha

Dissertations, Theses, and Capstone Projects

This thesis introduces a transverse, symmetry-breaking mode of optomechanical coupling that departs from the conventional dispersive and dissipative interactions, taking its motivating platform from whispering-gallery-mode (WGM) resonators, where a mechanical displacement lifts the near-degeneracy of azimuthal mode pairs and couples them. After reviewing the standard optomechanical model and the sideband-cooling phenomenology it underlies, we derive the Hamiltonian for the transverse-coupling system and first study its Hamiltonian dynamics, without drive or dissipation. Recast in terms of Schwinger pseudospin operators, the model exhibits a Hamiltonian Hopf bifurcation separating stable and unstable dynamical regimes. In the stable regime, the mechanical nonlinearity permits controlled …


Quaternionic Analogues Of Zagier’S Sums Of Binary Quadratic Forms, Ajmain A. Yamin Sep 2026

Quaternionic Analogues Of Zagier’S Sums Of Binary Quadratic Forms, Ajmain A. Yamin

Dissertations, Theses, and Capstone Projects

Let K be the real numbers R, complex numbers C or quaternions H. Let O ⊂ K be a full rank discrete Euclidean subring of K. We investigate certain functions F_{k,Δ,O} : K → R indexed by positive integers k, Δ with k odd. When K = R or C, these functions recover Zagier’s sums of binary quadratic forms and Karabulut’s sums of binary Hermitian forms respectively. When K = H, the F_{k,Δ,O} functions are new quaternionic analogues of Zagier's sums whose definition involves sums of binary Hamiltonian forms as defined by Parkkonen-Paulin.

We prove that for fixed "weight" k …


Paper Wasp Species Polistes Fuscatus (Hymenoptera: Vespidae) Tracks Urban Lead (Pb) Levels More Than Polistes Dominula, Lindsey R. Kemmerling, Anna L. Lovat, Allison A. Hanka, Emilie C. Snell-Rood Aug 2026

Paper Wasp Species Polistes Fuscatus (Hymenoptera: Vespidae) Tracks Urban Lead (Pb) Levels More Than Polistes Dominula, Lindsey R. Kemmerling, Anna L. Lovat, Allison A. Hanka, Emilie C. Snell-Rood

The Great Lakes Entomologist

Lead (Pb) is a persistent, toxic pollutant with widespread but inequitably distributed impacts, especially for humans in urban areas. The impacts of lead pollution on other organisms is largely unknown, even as they commonly experience exposure to lead alongside humans. We tested hypotheses regarding the lead concentrations of paper wasps across a gradient of pollution relative to soil and human lead levels, and correlations with wasp body condition. We collected two species of paper wasp across an urban gradient of lead pollution: Polistes fuscatus (Fabricius) (Hymenoptera: Vespidae), native to our study location, and Polistes dominula (Christ), nonnative to our study …


Long-Term Monitoring And Response Of Papaipema Sciata Bird (Lepidoptera: Noctuidae) To Prescribed Fire In Michigan (Usa), Gregory J. Norwood, Logan M. Rowe, Brett A. Degregorio, David L. Cuthrell, Aaron D. Meredith, Steven M. Gray Aug 2026

Long-Term Monitoring And Response Of Papaipema Sciata Bird (Lepidoptera: Noctuidae) To Prescribed Fire In Michigan (Usa), Gregory J. Norwood, Logan M. Rowe, Brett A. Degregorio, David L. Cuthrell, Aaron D. Meredith, Steven M. Gray

The Great Lakes Entomologist

The Culver’s root borer moth (Papaipema sciata) (Lepidoptera: Noctuidae) is a rare Noctuid that requires Culver’s root (Veronicastrum virginicum) to complete its lifecycle within remnant native grasslands and open woodlands in the midwest and northeast United States. We report on 26 years of monitoring this species’ colonization of Culver’s root stems at Algonac State Park (ASP) in Michigan, where prairies have been maintained by prescribed fire since 1990. P. sciata is considered fire sensitive because eggs spend the dormant season in the combustible prairie litter and duff near host plants. The objectives were to determine the …


Complementing Topographic Wetness With Sentinel-2 Phenological Indices To Map Soil Moisture Gradients In A Snowmelt-Driven Mountain Floodplain, Edward Turk Aug 2026

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, …


Between Digital Transformation And Regulatory Vacuum: Cybersecurity Of Public Services In Mozambique, Faztudo Languisse Eng. Aug 2026

Between Digital Transformation And Regulatory Vacuum: Cybersecurity Of Public Services In Mozambique, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid expansion of digital public services in Mozambique—including e-government platforms, digital health systems, and electronic tax administration—has outpaced the development of a coherent legal framework for cybersecurity. While Law No. 3/2017 (Electronic Transactions Law) of 9 January 2017 introduced foundational data-protection principles, Mozambique long lacked a dedicated cybersecurity regulatory authority, mandatory security standards, and formal incident-notification mechanisms. This regulatory vacuum exposed critical public services to escalating cyber risks as digital transformation was actively promoted as a development priority. This article examines the legal and institutional gaps in Mozambique's cybersecurity governance framework prior to the 2026 Cybersecurity and Cybercrime Laws, …


Exposing And Addressing Machine Learning Brittleness Through Constraint Solving, Muyeed Ahmed Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 RE. This orbital configuration allows the near-Earth …


Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites: Ur-35 Construction Completion Report (Ccr), Pioneer Technical Services, Inc. Aug 2026

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 …


Spider Biodiversity And Insecticide Sensitivity Across Active And Restored Cranberry Bogs On Nantucket, Tyler J. Kulak Aug 2026

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 …


A Variational Algorithm For Preparing Superoptimal Thermal States For Quantum Thermometric Measurement Adaptable To Nisq Hardware, Nicholas Donatelli Aug 2026

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 …