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Host Evolutionary History As A Predictor Of Microbiome Breeding Success, Ciana Lazu

Master's Theses and Capstones

Microbial inoculants present a potential alternative to artificial fertilizers and other chemical products in agriculture, yet microbial products derived from non-native microbes may pose ecological risks or fail to thrive. On the other hand, creating microbial inoculants from local microbes via “microbiome breeding” can be unpredictable. Here, the aquatic plant Lemna minor (duckweed), microbes isolated from duckweed, and microbes isolated from other, co-occurring aquatic plants was used to evaluate if the evolutionary distance between hosts from which microbes are sourced is a predictor of the success in “breeding” locally derived microbiomes to promote duckweed growth. “Microbiome breeding” was performed on …

Laying The Foundation For A Tartary Buckwheat Breeding Program For The Northeast: Phenotypic Characterization Of Seedling Traits And Hybridization Techniques, Julia Oliveira Barreiro De Jesus

Master's Theses and Capstones

Tartary buckwheat (Fagopyrum tataricum) is an underutilized crop with the potential to address key challenges in modern agriculture, including food security in the context of climate change and growing resource scarcity. It is valued for its tolerance to abiotic stresses such as drought, cold, and marginal soils, making it a promising candidate for cultivation in the Northeastern United States, a region where average temperatures have risen by approximately 0.25 °C per decade since 1970. These climatic shifts have led to changes in snow-to-rain ratios, earlier phenological events, and increased intensity of precipitation events, particularly in spring, posing challenges for early …

Enhancing Network Security: Dynamical Intrusion Detection Systems Leveraging Zero Trust Architecture, Ekramul Haque

Tennessee State University Alumni Theses and Dissertations

This thesis discussed two original methodologies for proposing security frameworks incorporating machine learning (ML) and Zero Trust Architecture (ZTA) principles to manage advanced persistent threats faced by Unmanned Aerial Vehicles (UAVs) and Network intrusion detection systems (IDS). The first methodology examined the use of RF signals and deep learning to identify and classify UAVs. The RF signal characteristics used in the method for detecting UAVs improved the ability to determine RF drone protocols. Although the models led to promising findings, their lack of ability to generalize to new drone types identified the need to improve both the data set and …

“Invention” As Mark Of Different Philippine Decolonial Stream, Niccolo Angelo R. Vitug

English Faculty Publications

I would like to explore the possibility that Filipinization, a movement aligned with decolonization, might have more streams and cannot simply be appropriated by a particular political orientation. I will begin my exploration by looking at a textbook titled Invention. Put together by Philippines-based American Jesuit priest, Joseph A. Galdon, Invention was based on the experimental work of fellow American Jesuit Joseph A. Landy, and distinctively featured work by Filipino students. This fact is interesting because of its context: the experimental work which was the basis of Invention was burned during the heated days of the Filipinization of the Jesuit-run …

Dissecting The Function Of The Dnmt2-Homolog (Dnma) In Dictyostelium Discoideum, Zaza Gelashvili, Denis Larochelle, Jacqueline Dresch, Maddison A. Hincher, Javier F. Tabima, Robert A. Drewell

Biology

Methylation of cytosine residues in nucleic acids plays a critical role in a range of biological activities in eukaryotes, including regulation of transcription, organization of chromatin structure, modulation of translation, cellular differentiation, and development. While much of the scientific focus in this field was centered on DNA methylation over the past few decades, it has also become clear that methylation of RNA is a crucial modification. A group of homologous DNMT2 methyltransferase enzymes in different model organisms are now known to catalyze the transfer of a methyl group to the cytosine at position 38 in tRNAAspGUC molecules. The important biological …

Procedures For Rangeland Condition Assessment In The Pilbara And Southern Rangelands 2025, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

This report defines the procedures used in 2025 by DPIRD to complete rangeland condition assessment (RCA) in the Pilbara and southern rangelands region which has predominantly shrub-based pastures. For the rest of the pastoral estate, DPIRD uses the Procedures for RCA in the Kimberley which has grass pastures.

RCA is the process DPIRD uses to make systematic, station-level assessment of rangeland. Rangeland condition considers both the condition of pastures (defined in the ‘Pasture condition guides for the Pilbara’ and ‘Pasture condition guides for the southern rangelands including the Gascoyne, Murchison and Goldfields-Nullarbor’) and soils as determined by erosion, using the …

Procedures For Rangeland Condition Assessment In The Kimberley 2025, Department Of Primary Industries And Regional Development, Western Australia

Natural resources published reports

This report defines the procedures used in 2025 by DPIRD to complete rangeland condition assessment (RCA) in the Kimberley region which has grass-based pastures. For the rest of the pastoral estate, DPIRD uses the Procedures for RCA in the Pilbara and southern rangelands which have predominantly shrub pastures.

RCA is the process DPIRD uses to make systematic, station-level assessment of rangeland. Rangeland condition considers both the condition of pastures (as defined in the 'Pasture condition guide for the Kimberley') and soils as determined by erosion, using the erosion assessment method on pastoral lands in Western Australia. The methods have evolved …

Early Phase Testing Of Functional Imagery Training As An Intervention For Anxiety, Jackie Andrade, D. J. Kavanagh, Carly Bowditch, Emily Mackriel, Emily Ravenshill, Amy Sime, Eleanor Trumfield, Jessica Watts, Jon May

School of Psychology

Cognitive models hypothesize a role for motivated behaviour in anxiety disorders, with safety behaviours leading to exaggerated threat appraisals and increased anticipatory anxiety. Based on the Affective Imagery Theory of Motivation, we propose that increasing motivation for engagement behaviours will reduce motivation for safety behaviours through competition for limited capacity cognitive resources supporting motivational imagery. We hypothesise that imagining successful engagement will reduce anxiety directly, and through promoting subsequent engagement. We present preliminary evidence that functional imagery training (FIT), an intervention that develops and teaches motivational imagery, reduces anxiety. FIT was delivered to undergraduates with anxiety in one session lasting …

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. …

Determining Risk Factors And Rate Of Surgery After Collagenase Injections For Dupuytren Contracture, Ryan C. Cha, Juliet S. Chung, Sina Ramtin, Asif M. Ilyas

Department of Orthopaedic Surgery Faculty Papers

Purpose: Collagenase injections are a nonsurgical treatment for Dupuytren contracture, but their long-term effectiveness in preventing surgery remains unclear. This study aimed to evaluate the rate of surgical intervention following collagenase treatment and identify whether specific risk factors increase the likelihood of future surgical correction. Methods: This retrospective cohort study utilized the TriNetX US Collaborative network to identify patients diagnosed with Dupuytren contracture between January 2007 and September 2024. Patients initially treated with collagenase injections were identified using relevant current procedural terminology codes. Procedure-specific current procedural terminology codes were then used to determine which patients underwent a subsequent fasciectomy or …

The Dark Side Of Ceo Inside Debt: Evidence From Stock Price Crash Risk, Amir Gholami, Ahmed M. Elnahas

Finance Faculty Publications

Despite being thought of as a governance mechanism, CEO inside debt seems to distort firms' information environment. Our results indicate that CEO inside debt alters managerial orientation and incentives in a way that increases stock price crash risk. Our results are robust after addressing endogeneity using the instrumental variable (IV) approach, a difference-in-differences test based on the implementation of Internal Revenue Code Section 409 A Final Regulations, and Oster's omitted variable diagnostic test, and selection bias using the propensity score matching (PSM) and Entropy balancing (EB) approaches. The results are stronger for firms that are poorly governed, operate in less …

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 …

Strategies For Out-Of-School Time Stem Educators Working With Youth Experiencing Diverse Abilities, Joelle Lemer, Rasha Elsayed, Kirsten Daehler, Nena Bloom

Journal of Youth Development

Out-of-school time learning occurs in a variety of settings including formal-learning environments, such as afterschool programs, or informal-learning environments, such as museums or youth clubs. Educators in out-of-school time contexts serve diverse youth populations. Many educators often have limited experience or preparation in how to support STEM learning, particularly with learners experiencing diverse physical and/or sensory abilities, such as mobility, dexterity, vision, or hearing. The purpose of this article is to share research-to-practice strategies for STEM in out-of-school time settings for professionals working with youth experiencing diverse physical and/or sensory abilities. These strategies are derived from a review of available …

Enhancing Decision-Making In Piezoelectric Energy Harvesting Systems Through Neutrosophic Logic, A. A. Salam, Mohamed A. Mohamed, Hanan M. Amer, Musallam Jeailan Hzam Alzubi, Huda E. Khalid, Ahmed K. Essa

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Logic For Secure Hand-Based Biometrics: Quantifying Privacy-Security Tradeoffs In Remote Authentication Systems, A. A. Salama, Abdelnasser Mohamed, Huda E. Khalid, Ahmed Essa, Doaa E. Mossa

Neutrosophic Sets and Systems

No abstract provided.