Digital Commons Network^™

Processing Of Diphthongs By Turkish English Bilinguals: An Erp Study, Ecem Kopuz

Dissertations, Theses, and Capstone Projects

This study examines how native phonological experience influences the brain’s response to speech sounds in Turkish-English late bilinguals and English monolinguals. We asked whether neural responses reflecting encoding of auditory information would be sensitive to language specific experience. Using event-related potentials (ERPs), and specifically, the Acoustic Change Complex (ACC) we measured neural responses to four stimuli, /u/, /ua/, /iu/, and /ia/, where vowel quality changes for three of these. A change from /u/ to /a/ or /i/ to /a/ within a syllable (as in [ua] and [ia]) represents a clear vowel quality shift. All participants were expected to show sensitivity …

Crisis Narratives And The Vicissitudes Of Haitian Foodways: A Critical Comparison Of Three Food Items, Marc S. Gabriel

Dissertations, Theses, and Capstone Projects

Polities and media external to Haiti direct a lot of narrative focus on the country being the source of its own protracted crises. This represents a powerful narrative hegemony that casts the post-colonial nation as a zone of perpetual disasters or crisis. To maintain that narrative domination over Haiti, opportunistic observers of Haiti’s media spectacles of crisis only need to atomize the country’s newest crisis or natural disaster from the history that situates it. The elision of the Haitian memory – a memory of structural adjustment programs, systematic displacement, foreign-sponsored paramilitary violence, erosion of peasant foodways and agriculture – from …

Structural Characterization Of A Tarantula Toxin And Its Interactions With Lipid Bilayers And Voltage-Gated Sodium Channels, Krishnakoli Adhikary

Dissertations, Theses, and Capstone Projects

Voltage-gated ion channels are membrane protein complexes. They allow the selective flow of their respective ions down an electrochemical gradient through a central ion conduction pore surrounded by four voltage-sensing domains (VSDs). Various neurological and cardiovascular diseases are caused by mutations in voltage-gated ion channels (VGICs). One of the biggest challenges today is addiction to opioid medication. Coming up with non-opioid drug leads can be a real blessing for society. This is where voltage-gated sodium channel research comes in. Na_v1.7, Na_v1.8, and Na_v1.9 are responsible for pain sensations. Loss or gain of function in …

Satellite-Host Galaxy Co-Evolution With Next-Generation Regulator Models, Austen Gabrielpillai

Dissertations, Theses, and Capstone Projects

The evolution of satellites galaxies is an unsolved problem in galaxy formation. Recent observations such as the SAGA and ELVES surveys find tension in HI contents and star formation of satellites around their central host galaxies when compared to our own local environment, the Milky Way. These processes are potentially highly influenced by the host's circumgalactic medium (CGM), and to constrain these cases requires accurate and fast modeling of satellites-host interactions. In this work, we present our methodology for evolving z = 0 surviving satellites alongside their central galaxy in sapphire, a CGM regulator co-evolution model of galaxy formation. …

Improving The Assessment Of Functional Ability In Older Adults, Aneela Rahman

Dissertations, Theses, and Capstone Projects

Deficits in instrumental activities of daily living (IADL) are a hallmark of dementia, and the unprecedented aging of the population strongly motivates early identification of older adults at-risk for functional decline. In 2015, the White House Conference on Aging emphasized the need to improve detection of diminished capacity across important areas of functioning. To date, there is very limited research on early IADL changes in cognitively unimpaired (CU) individuals and those with subjective cognitive decline (SCD) and mild cognitive impairment (MCI), who may be in early preclinical dementia stages. Additionally, little is known about how changes in functional brain networks …

Tradition, Individuality, And Innovation In Western Classical Music Performance: A Quantitative Analysis Of Bach’S Fourth Cello Suite Prelude, Clare Monfredo

Dissertations, Theses, and Capstone Projects

Why do we seek out new performances of a commonly performed piece of music? An essential tradition of Western classical music (WCM) is the performance of canonical works by composers, an activity that requires the interpretation and execution of written scores by individual performers. In this practice, performers are not only expected to determine the composer’s “intentions,” but also somehow (paradoxically) share these in a “unique” performance interpretation. In musical education, performers are trained by teachers to create these “unique” interpretations by learning how to intuit composers’ intentions in a system that passes down interpretative traditions through master-apprentice one-on-one lessons. …

Introduction To Us Government & Politics Syllabus, Jennifer Corby

Open Educational Resources

This syllabus outlines the structure and pedagogical design of POL 51: Introduction to U.S. Government and Politics, taught at Kingsborough Community College (CUNY). Developed as part of an Open Educational Resources (OER) course redesign funded through the CUNY OER Initiative, the course integrates accessible, cost-free materials from Attenuated Democracy: A Critical Introduction to U.S. Government and Politics alongside multimodal, student-centered learning activities. The course emphasizes Universal Design for Learning (UDL), ungrading, and reflective journaling to foster civic engagement and metacognitive awareness. A central innovation of this version is a two-week Critical AI Literacy (CALI) module that situates artificial intelligence …

Mechanistic Insights Into The Neuroprotective Effects Of The Antidepressant Agomelatine In Alzheimer's Disease, Grace Terry

Dissertations, Theses, and Capstone Projects

Alzheimer’s Disease (AD) is a complex neurodegenerative disease that has limited treatment options and no cure. AD is characterized by robust pathology including extracellular amyloid beta plaques, intracellular neurofibrillary tangles, neuronal and synaptic loss, neuroinflammation, and brain atrophy. AD presents with cognitive decline and memory loss but only years after neuropathology has started to accumulate. This robust pathology has made AD difficult to treat and highlights the need for therapeutics that modulate multiple pathways. Agomelatine (AGO) was selected by a high-throughput machine learning drug repurposing algorithm by our collaborator Dr. Lie Xie (Hunter College Dept. of Comp. Sci.) as having …

From Stories To Strategy: Oral Histories As Qualitative Evidence For Neighborhood Planning, Randip K. Parhar

Dissertations, Theses, and Capstone Projects

Developments in neighborhood planning have sought more grounded and community- engaged approaches to space and service design. This capstone project examines how oral history recordings can serve as a data source for neighborhood planning. It asks “How can computational methods of analysis be applied to oral history recordings to provide a source of information for neighborhood planning?” using Jamaica, Queens, as a testbed. Using R as a computational tool, the project applies foundational text mining techniques, such as term frequency analysis, n-gram analysis, and topic modeling, to explore patterns and themes within the recorded narratives. These methods can provide a …

Starspot Inference Using Light Curve Inversion Techniques, Mohammad Refat

Dissertations, Theses, and Capstone Projects

Star spots are patches that are dark or bright on the surface of a star. They are tightly correlated to the magnetic activity of stars. One of the reasons we want to study star spots is to better understand where the active latitude of stars are located, which helps us understand planet habitability around low mass stars. The Starry package is a set of tools that can map the surface of stars and exoplanets using time series data, with spherical harmonics. Butterpy is a package that allows for the simulation of starspot evolution and their lightcurves. Fleck is a package …

Refining Orbits And Revealing Origins: A Study Of Giant Exoplanets Around Low-Mass Stars, Angeli Sandoval

Dissertations, Theses, and Capstone Projects

The study of gas giants around low-mass stars offers important insight into planet formation. Core accretion models predict that these planets should have a low likelihood of forming due to the limited disk masses of their host low-mass stars. However, NASA space missions such as Kepler and TESS have revealed an emerging population of Saturn- and Jupiter-like planets around M-dwarfs (referred to as giant exoplanets orbiting M-dwarfs or GEMS) that challenge these expectations. This thesis investigates the detection, confirmation, and analysis of GEMS through pipeline development and a detailed analysis of two systems.

In Chapter 1, I provide background information …

Behavioral Biomarkers Of Vulnerability In The Aba Model, Nora Ozer

Dissertations, Theses, and Capstone Projects

Anorexia nervosa (AN) is a severe psychiatric disorder with the highest mortality rate among mental health conditions, yet effective biological treatments remain limited. The activity-based anorexia (ABA) paradigm, which combines food restriction with wheel access to model the hyperactivity and self-starvation cycle characteristic of AN, shows considerable individual variability in vulnerability. Understanding what predisposes certain individuals to develop the full ABA phenotype while others remain resilient could inform early intervention strategies for human AN. This study employed continuous behavioral monitoring technology to identify early predictors of vulnerability to activity-based anorexia in mice, with the goal of discovering behavioral biomarkers that …

Investigation Of Motor Neuronal And Circuit Level Mechanistic Determinants Of Spinal Excitability Following Cst Injury, Thelma Bethea

Dissertations, Theses, and Capstone Projects

The corticospinal tract (CST) is the primary descending motor pathway in mammals, essential for precise, dexterous movements, especially in humans and nonhuman primates. Damage to the CST, such as from spinal cord injury (SCI), impairs skilled motor function and triggers maladaptive changes including aberrant proprioceptive afferent sprouting and increased spinal excitability. These changes are closely linked to both muscle weakness and the development of hyperreflexia, compounding the functional deficits. Animal models of SCI are valuable for investigating mechanisms of injury and recovery, though traditional models often limit the ability to isolate circuit-specific contributions. To address this, I employed selective unilateral …

From Sequence To Allostery: How Amino Acid Differences Rewire Coupled Conformational Heterogeneity In The Ptp Enzyme Family, Shivani Sharma

Dissertations, Theses, and Capstone Projects

Protein Tyrosine Phosphatases (PTPs) are critical regulators of cellular signaling, and their activity is often modulated through allosteric mechanisms. Allostery is defined as a chemical or conformational change in one site of the protein due to a binding event at another site. Although several studies have investigated aspects of allostery in PTPs, the mechanistic foundations underlying allosteric regulation remain poorly understood. Despite a highly conserved catalytic domain across PTPs, regions with low or no conservation suggest potential "rewiring" of allosteric networks. This raises key questions about the universality versus individuality of allosteric mechanisms across the PTP family.

In this work, …

Quantum Entanglement Correlations In The Proton On The Light-Front, Eric Kolbusz

Dissertations, Theses, and Capstone Projects

In this work we gather results on information theory applied to proton tomography. We start by analyzing the quantum entanglement of momentum, spin-flavor, and color degrees of freedom (d.o.f.) in the leading valence-quark state of the proton on the light front using standard information theoretical tools, leveraging model wavefunctions by Brodsky and Schlumpf to obtain numerical predictions. Light-cone perturbation theory allows us to introduce the one-gluon correction in the sub-leading Fock state and study the entanglement of the gluonic d.o.f. We find weak entanglement in the spatial d.o.f. of the valence quarks, and significantly stronger entanglement in the analogous d.o.f. …

Exploring The Role Of Ecological Traits In Shaping Spatial Patterns Of Genetic Diversity, Rilquer Mascarenhas Da Silva

Dissertations, Theses, and Capstone Projects

The field of comparative phylogeography aims at uncovering common underlying causes for shared patterns of diversity and diversification at the population level. However, it is now widely accepted that intraspecific genetic diversity patterns can differ considerably across co-occurring taxa due to ecological processes acting at the population level (and influencing individual movement and abundance). To model the processes underlying lineage diversification and demographic shifts in response to environmental changes, phylogeographers and population geneticists are now faced with the challenge of incorporating measurements of species ecological traits into their molecular studies. This dissertation aimed at investigating how different types of ecological …

An Interpolating Regime For The Extreme Values Of A Random Zeta Model, Christine K. Chang

Dissertations, Theses, and Capstone Projects

We study the large values of a random model of the Riemann zeta function over short intervals. The extreme value statistics depend on the interval size: the log-correlated regime governs intervals of order one while the i.i.d. regime emerges over longer intervals. The main focus is to describe the transition between these two well-understood regimes as the interval varies in length. This thesis shows that there is an intermediate regime where the behavior of the zeta model’s maxima cannot be entirely captured by either extreme— i.i.d. or fully log-correlated. This suggests that the Riemann zeta function exhibits correlations around its …

Towards Automated Evolution Of Imperative Deep Learning Programs, Tatiana Castro-Vélez

Dissertations, Theses, and Capstone Projects

Software engineering (SE) is increasingly intersecting with data-centric domains such as machine learning (ML) and deep learning (DL). Similar to bugs in traditional software systems, defects can emerge in ML and DL systems. ML, including DL, systems are now widespread and rely on dynamic models defined by input data. Developers face the challenge of building dependable systems while addressing the demand for scalable software.

Efficiency is essential to support responsiveness with respect to ever-growing datasets. Traditional DL frameworks achieve scalability through deferred execution, enabling symbolic, graph-based deep neural network (DNN) computation. While efficient, this approach is error-prone, cumbersome, and difficult …

Toward A Generalizable Perceptual Hashing Framework For Image Manipulation Detection, Priyanka Samanta

Dissertations, Theses, and Capstone Projects

This thesis contributes to research in adversarial image manipulation detection. The primary motivation is the increasing need to verify digital images, especially for legal evidence, journalistic proof, or social media content—where manipulated or fabricated images can mislead, defame, or distort reality. A key application and contribution of this work is the development of eWitness, a blockchain application that generates and registers image provenance at capture time to enable independent verification of authenticity. The secret sauce behind the system is SmartHash, a novel and efficient perceptual hashing algorithm designed for real-world deployment in systems like eWitness. Unlike existing algorithms, SmartHash targets …

Non-Linear Heart Rate Variability: Investigating Cardiac Complexity Of Psychopathic Traits, Khaya A. Roach

Dissertations, Theses, and Capstone Projects

Psychopathy is a complex personality disorder characterized by distinct emotional and interpersonal deficits, and affects approximately 25% of the prison population and 4.5% of nonincarcerated populations. The manifestation of psychopathy can be understood through two distinct variants, each demonstrating unique etiological pathways and clinical presentations. Primary psychopathy is characterized by core interpersonal and affective deficits, including shallow emotions and manipulativeness, while demonstrating reduced autonomic responsivity and lower anxiety levels. Secondary psychopathy presents with higher levels of impulsivity, anxiety, and emotional dysregulation, showing stronger associations with various psychopathologies. Treatment outcomes also vary between the variants, with primary psychopaths typically showing poor …

The Salience Of Function Words In Implicit Statistical Linguistic Learning: An Erp Investigation, Daniel M. Schwartz

Dissertations, Theses, and Capstone Projects

Research has indicated that children and adults can implicitly learn language patterns; however, questions still remain regarding the role and nature of implicit learning, particularly of sequential patterns. Implicit statistical learning is a type of unconscious learning of sequential patterns, which may be especially relevant to phrase structure learning. Prior studies have highlighted the differential processing of function words (FWs), such as determiners, relative to content and nonsense words and have also pointed to particular neural response patterns (specifically, Anterior Negativity, or AN) to early syntactic violations. To date, there is relatively little work directly investigating the role of FWs …

Novel Machine Learning Methods For Quasar Variability And Strong Gravitational Lensing, Joshua Fagin

Dissertations, Theses, and Capstone Projects

Machine learning methods are well suited to handle the unprecedented data volume expected from upcoming wide-field surveys. The European Space Agency's Euclid telescope was launched in July 2023 and is expected to observe billions of galaxies at high resolution, including tens of thousands of strongly lensed galaxies. The Rubin Observatory Legacy Survey of Space and Time (LSST) will monitor tens of millions of quasars throughout its ten-year lifetime, thousands of which will be strongly lensed. This flood of data will enable measuring lens galaxy mass distributions and substructure, as well as probing quasar accretion disk structure and black hole properties …

Scripted For Surveillance: Parole Revocation Hearings And The Performance Of Procedure In New York, Kelsey G. Greeff

Dissertations, Theses, and Capstone Projects

This thesis examines parole revocation hearings in New York as complex performances that extend carceral control beyond prison walls. Drawing on a composite vignette from the Bronx parole court, it analyzes the interplay between procedural reform, constitutional due process, and neoliberal governance. Using a dramaturgical framework informed by Michel Foucault’s discourse analysis and Judith Butler’s theory of performativity, the study identifies four interrelated processes: the judge as director, who orchestrates hearings according to institutional priorities; normalization, where repetition embeds structural inequality as routine; type-marking, the classification of parolees into predefined roles through accumulated records and cues; and the extension of …

Transitional Justice And Counter-Productivity: A Case Study Of Serbia And Croatia, Michael F. Curry

Dissertations, Theses, and Capstone Projects

In the post-Cold War era, transitional justice emerged as a method to reconcile societies that had suffered large-scale human rights abuses through autocratic oppression and/or intra-state conflicts. During this time, the concept of what transitional justice meant and what problems it could resolve expanded exponentially. However, the empirical results of such initiatives have been mixed. Many states subject to transitional justice initiatives have failed to liberalize or develop domestic governance capacities. Why do transitional justice initiatives fail even under the most favorable conditions?

The most common answer to this question is that these initiatives are often ineffective, hindered by a …

Non-Perturbative Aspects Of Gauge Theories Through A Complex Parametrization, Antonina Maj

Dissertations, Theses, and Capstone Projects

This dissertation explores a complex matrix parametrization of four-dimensional non-Abelian gauge theories as a means of gaining analytical insights into (3+1)-dimensional QCD. The low-energy scale of non-Abelian gauge theories remains an elusive area of research even after decades of work. A key challenge lies in identifying physical, gauge-invariant degrees of freedom that are relevant to non-perturbative phenomena. In this dissertation we develop a complex parametrization of gauge fields on which gauge transformations act homogeneously, thereby enabling a manifestly gauge-invariant analytical formulation of the theory.

Chapter one constructs the complex gauge-invariant parametrization for gauge theories living on both complex projective space …

Collaborative Memory And Metamemory: The Impact Of Normative And Informational Motivations On Conformity, Karen Rodriguez

Dissertations, Theses, and Capstone Projects

Collaborative memory studies have typically explored the cognitive mechanisms that underlie differences between collaborative and individual memory performance. Despite the social nature of collaboration, few studies have examined the impact of social motivations on collaborative memory. When retrieving information with groups, people may not only be motivated by a desire to be accurate (i.e., informational motivations), but may also be guided by social norms (i.e., normative motivations), such as prioritizing agreeability or alignment with group members (Cialdini & Goldstein, 2004). Similarly, retrieving information with others may also prompt individuals to reflect more on their own memory processes. However, few studies …

Characterization Of The Attentional Profile In Women And Girls With A Fragile X Premutation Allele, Shira Russell-Giller

Dissertations, Theses, and Capstone Projects

The fragile X premutation (PM), characterized by 55 to 200 CGG repeats in the FMR1 gene, is associated with diverse clinical outcomes, including cognitive and neuropsychiatric changes. Despite most individuals with a PM presenting without overt clinical symptoms, adults face increased risks for conditions associated with a PM, including higher rates of attention and executive difficulties. This dissertation investigates the developmental trajectory of attention and executive functioning changes in females with a PM using a series of prospective studies employing the Attention Network Test (ANT). Study 1 re-analyzed prior data on sustained attention in women with a PM, revealing significant …

Investigating The Behavior Of Dwarf-Hosting Cosmic Filaments In Regions Of Average Density Within The Universe, Manuel E. Ramirez Hernandez

Dissertations, Theses, and Capstone Projects

The cosmic web is the large-scale structure of the universe, composed of elongated, overdense areas held together by gravity known as cosmic filaments. Within these filaments, dwarf galaxies are ubiquitous and make for excellent laboratories due to their small size. to determine the effects of cosmic web structures on dwarf galaxies. In this thesis, I laid the groundwork to investigate whether dwarf galaxy populations vary across different types of filaments. Filaments were extracted from the gas density field in the New Horizon simulation at $z=0$ using the topological feature finder DisPerSE. I determined the distances of galaxies to their nearest …

Clss12100- The Greek And Latin Roots Of English - Syllabus, Camilo Andrés Bonilla Carvajal

Open Educational Resources

No abstract provided.

Machine Learning And Crime Prevention, Emily Lizewski

Student Theses

Predictive policing uses machine learning to analyze crime patterns and help law enforcement better efficient use their resources. These tools can improve accuracy by highlighting complex trends in large sets of data. While this technology has its advantages, it also raises important ethical and social questions. Within this paper we looks at how predictive policing works, focusing on the machine learning models often used such as decision trees, random forests, gradient boosting, and models that factor in both time and location. It also explores how these tools might unintentionally reinforce biases already present in historical crime data. In reviewing the …