Digital Commons Network^™

Parametrization Of Formal Norm Compatible Sequences, Joseph Dicapua

Dissertations, Theses, and Capstone Projects

We give a classification of power series parametrizing Lubin-Tate trace compatible sequences. This proof answers a question posed in the literature by Berger and Fourquaux. Lubin-Tate trace compatible sequences are a generalization of norm compatible sequences, which arise in Iwasawa theory and local class field theory. The result we prove generalizes the interpolation theorem proved by Coleman in the classical norm compatible sequence case. We also, jointly with Victor Kolyvagin, give a method for finding such series explicitly in certain special cases.

Elucidating The Roles Of Eukaryotic Initiation Factors Involved In Dap5 Mediated Translation, Jacob Nk Quartey

Dissertations, Theses, and Capstone Projects

Translation initiation in eukaryotes is a highly regulated process essential for accurate protein synthesis. It is a dynamic process that involves a complex interplay between messenger RNAs (mRNAs), ribosomal subunits, and a host of initiation factors, ensuring precise start codon selection and the subsequent assembly of the translation machinery. This process has well been known to be mediated by the eukaryotic Initiation Factor (eIF4F), which consists of the cap binding protein eIF4E, the scaffolding protein eIF4GI, and the helicase factor eIF4A.The recognition and binding of eIF4E to the m⁷G cap structure of the mRNA is essential for the …

Energy Conversion Materials: Computational Design Of Electrocatalysts Toward Sustainable Energy Applications, Courtney M. Brea

Dissertations, Theses, and Capstone Projects

As the global-scale need for sustainable energy technologies emerges due to anthropogenic climate change, electrocatalysis plays a crucial role in facilitating many sustainable processes. Several heterogenous cathode materials can perform different electrochemical activities using water, oxygen, hydrogen, carbon dioxide to deliver renewable electricity and value-added chemicals. By using the density functional theory method, it is possible to explore the structural and electronic properties that govern a catalysts’ activity and selectivity. In this thesis, we start by exploring 48 reconstructed transition metal dichalcogenides edges (MX₂, M = Mo, W; X = S, Se, Te) for carbon dioxide reduction reaction …

Punitive Desire, Belief In Redeemability, And Support For Rehabilitation: A Comparison Of Victimized And Non-Victimized Individuals' Attitudes Toward Criminal Offenders, Caleb Linder

Student Theses

This study examined the attitudes of victimized and non-victimized individuals toward criminal offenders, investigating whether the supportive attitudes observed in Spoo et al. (2018) extend beyond sexual offenses to other types of crime. The study also explored how the perpetrator’s relationship to the victim (family member vs. stranger) and participants’ previous exposure to the justice system influenced their perceptions of offenders. Contrary to our hypothesis, punitive attitudes did not differ between participants with a history of victimization and those without. Additionally, there was no significant difference in punitive attitudes toward stranger offenders compared to offenders known to the victim. Furthermore, …

Belonging Against The Odds: Exploring Restorative Justice Practices As Pathways To Foster Belonging In New York City Transfer Schools, Miguel Rodriguez

Dissertations, Theses, and Capstone Projects

The U.S. education system perpetuates structural inequities that disproportionately affect Black students with the School-to-Prison Pipeline (STPPL) criminalizing them through Zero-Tolerance policies. Transfer schools are often a last resort for students pushed out of traditional schools provide a lens to examine the impact of Restorative Justice Practices (RJP) and Black student representation on belonging. This quantitative dissertation study analyzes secondary data from the NYC Department of Education using multivariate models to explore the relationship between RJPs and sense of belonging (SOB). Model 1 found that discussing feelings and emotions at school (Tier 1 RJP) had the strongest association with SOB …

Artificial Intelligence And Astronomy: Lab Manual For Generative Ai-Based Learning Activities, Vasiliy Znamenskiy

Open Educational Resources

This laboratory manual introduces an innovative approach to teaching astronomy by integrating generative artificial intelligence (AI) tools into hands-on educational activities. Aimed at undergraduate and general education students, the manual guides learners through interactive exercises that involve evaluating AI-generated text responses, creating scientifically inspired images, and producing short educational videos about astronomical phenomena. By engaging with platforms such as ChatGPT, Gemini, DALL·E, and InVideo, students develop critical thinking skills, enhance their digital literacy, and deepen their understanding of space science. The method emphasizes inquiry-based learning, creativity, and scientific communication, preparing students to become thoughtful users of AI in academic and …

Quantum-Enhanced Training Of Large Language Models: A Hybrid Approach, Nan Wu, Fangmin Song, Xiangdong Li

Publications and Research

The training of large language models (LLMs) presents significant computational challenges, particularly regarding efficient convergence. This paper presents a hybrid quantum-classical framework designed to address the significant computational challenges associated with training large language models (LLMs). By integrating quantum computing principles superposition, entanglement, and tunneling with classical deep learning methods, we propose an approach to accelerate convergence, enhance optimization efficiency, and improve model generalization. Specifically, quantum feature mapping is employed to project classical data into high-dimensional Hilbert spaces, facilitating more expressive data representations. Quantum-assisted optimization algorithms, such as Quantum Approximate Optimization Algorithm (QAOA) and Variational Quantum Eigensolver (VQE), efficiently navigate …

Leadership Perceptions Of Funds Of Knowledge In Alternative Secondary Education, Sara Stone

Theses and Dissertations

Funds of Knowledge (FOK) refer to the skills, assets, and resources that a learner draws from their environments and applies to their learning experiences. The FOK construct has in common with cultural capital and community cultural wealth a focus on the importance of the overlapping contexts in which learning takes place. For this qualitative study, the overlapping contexts for learners often include conflicts, adversity, and unique challenges. Participants include past and present leaders of schools and programs in New York City’s school district 79, also known as its alternative schools district. Schools and programs in district 79 are designed for …

The Effect Of Bullet Morphology And Intermediate Targets On Bullet Path, Natalia Aguilar

Student Theses

A key feature of shooting reconstruction is trajectory analysis. There are several different methods of assessing this from the bullet impact mark including: best-fit ellipse, lead-in, trajectory rod, 3D laser scanning, and machine learning. While these function in differently, many share a common fault. Few trajectory analysis techniques evaluate the difference in bullet path for bullet morphology. This raises the question: does the morphology of a bullet influence its degree of deviation when interacting with a target material? This study investigates the difference in bullet trajectories through drywall for 9mm full metal jacket (FMJ) and jacketed hollow point (JHP) ammunition …

An Antidote To Populist Ill-Rule? Polycentricity, And Excess Mortality In The Covid-19 Pandemic, Michael Lee

Publications and Research

It has often proven difficult for scholars of populist governance to untangle the policy results produced by populist governments from the conditions that might lead voters to elect populist leaders. The COVID-19 pandemic – an exogenous event occurring amidst the rise of populist governments to power in many of the world’s democracies – offers a unique window into populist crisis management. Are populists less effective crisis managers when the stakes are high? And if so, what factors might mitigate populist ill-rule? In this paper I present evidence that populist-led governments experienced greater levels of excess mortality in the COVID-19 pandemic …

Swk 365: Social Work Practice Iii: Communities & Organizations, Sonia Brown

Open Educational Resources

Social Work Practice with Communities and Organization is the third of three foundation courses in social work practice. The social work practice sequence provides an introduction to the basic theory and methods of generalist social work practice with individuals, families, groups, organizations and communities. As a preparation for practice in the field, this third course emphasizes practice with organizations, neighborhoods and communities. Change strategies such as social action, legislative policy, citizen participation, advocacy and service development are explored. All case material is studied within the context of the values of the social work profession and the recognition of the importance …

Investigating The Impact Of A Social Media Literacy Intervention On Appearance Satisfaction, Life Satisfaction, And Affect, Jennifer Lai

Student Theses and Dissertations

Social media (SM) platforms are popular mediums for entertainment and connection among young adults, and the companies behind these platforms have intentionally designed and implemented features to enhance user engagement. Research has identified a negative relationship between SM use and mental health outcomes but few studies have tested SM literacy interventions to reduce the impact of SM use on these outcomes. To extend the literature on SM literacy interventions, this study sought to investigate the impact of a digitally-delivered SM literacy intervention on appearance satisfaction, life satisfaction, and affect. Participants were 125 students (M_Age = 20.50; SD = 2.79; …

The Eyes Of Csr: Creating A Consulting Methodology To Bring Strategic Corporate Social Responsibility Into Established Organizations, Raven V. Brookes-Mcdougall

Student Theses and Dissertations

Corporate Social Responsibility (CSR) has become a crucial aspect of the corporate mindset, driven by the increasing demand for ethical and sustainable practices. Despite the strong business case for its implementation, CSR deployment often lacks strategic direction. This capstone project, titled "The Eyes of CSR: Creating a Consulting Methodology to Bring Strategic Corporate Social Responsibility into Established Organizations," aims to develop a universally applicable framework for integrating CSR into established organizations. This will be achieved through an extensive literature review that explores the multifaceted nature of CSR, including its history, benefits, challenges, criticisms, and various approaches.

The resulting framework emphasizes …

Philosophy Of Natural Sciences (Phil 225) Syllabus, Ryan J. O'Loughlin

Open Educational Resources

This course explores the philosophy of science via a consideration of Indigenous ways of knowing. We begin by covering some major topics in philosophy of science—e.g., how to distinguish between science and pseudoscience, whether social and ethical values play a role in science, and others—and then we turn to the rich, place-based epistemologies of various Indigenous communities, examining how their worldviews, practices, and values offer unique perspectives on environmental stewardship, sustainability, and resilience.

By the end of this course, you will be able to:

• Synthesize information offered in a philosophical text, determine the author’s perspective & conclusion(s), and evaluate the …

Using Ai As A Responsible Technology - A Guide To The Future Of Work, Eric F. Martinez-Valerio Mr.

Student Theses and Dissertations

The capstone project, Using AI as A responsible Technology – A guide to the future of work is culmination of the last 2 years while in the Masters in Corporate Communications program at Baruch College. It is a training guide framework that is built upon the current discussions on the rise of Generative Artificial Intelligence (GenAI) in the workplace in recent years and aims to help organizations bridge the real time knowledge gap that is forming between individuals who have been using GenAI already and individuals who have not yet engaged with this new technology altogether. The framework for this …

Ztc Eng 151 Syllabus: College Writing, Nicolette Guida

Open Educational Resources

This syllabus provides a curriculum for an introduction to research writing. In this course, students develop introductory skills for academic research writing, work on critical thinking and analysis skills, and build an awareness of the rhetorical situation both in texts read in class and in their own writing. This course focuses on the impact that culture has in shaping behavior and life experiences. Included course texts are centered on the exploration of the different cultural groups that people occupy and the specific cultural norms, values and beliefs for each of these groups. This is zero textbook cost (ZTC) course, so …

Successful Psychopathy: Trait Expression, Construct Validity, And Career Differences Among Lawyers, Law Students, And Pre-Law Undergraduate Students, Jessica Rush

Student Theses

Psychopathy is a multidimensional personality construct traditionally studied in offender populations but increasingly recognized in high-functioning, nonclinical groups. This study examined the expression of psychopathic traits—Fearless Dominance, Self-Centered Impulsivity, and Coldheartedness—among legal professionals at various career stages, including pre-law students, law students, and practicing attorneys. Using the Psychopathic Personality Inventory–Revised (PPI-R) alongside validated measures of related constructs (e.g., narcissism, aggression, affect, behavioral activation/inhibition), the study assessed trait distribution, construct validity, and contextual influences in a sample of 82 participants. Results provided partial support for the PPI-R’s construct validity in this population. Total psychopathy and Self-Centered Impulsivity were positively associated with …

Macroeconomics Textbook For Kingsborough Students, Dorina Tila

Open Educational Resources

Textbook customized for Kingsborough students. It was published in May 2025. You can access it through pressbook as well.

https://pressbooks.cuny.edu/macroeconomicsbronxkcc/

In The Quest For New Horizons: Evaluating Novel Therapeutic Approaches For Tuberculosis Treatment, Selassie Mawuko, Aminata Traore, Bibi-Sakeena Khemraj, Anna Steto, Richa Gupta

Publications and Research

Tuberculosis (TB) in humans, caused by Mycobacterium tuberculosis, is a significant global health concern, resulting in high disease burden and mortality each year which together make it the world’s topmost infectious killer. The emergence of multidrug-resistant tuberculosis (MDR-TB) in recent decades has further exacerbated the present situation and warrants an urgent need to develop and investigate innovative treatment regimes. This study aims to assess the therapeutic potential of newly identified drug candidates, namely Bedaquiline, Delamanid, and Linezolid, in treating MDR-TB. We adopted a consolidated and integrated approach encompassing a thorough literature review, empirical experimental studies, multiple sequence alignments, and …

Bayesian Statistics: Origins And Applications, Evelyn Pulla

Publications and Research

Bayesian Statistics applies Bayes' Theorem to update beliefs through new evidence. In this project, I explored how Bayesian Statistics applies into real supporting decision-making under uncertainty. By solving problems using data, I was able to realize how prior knowledge and evidence collaborate to make better conclusions. The project also demonstrates how Bayesian reasoning corrects our intuition to make decisions based on logical reasoning. Through this project, I was able to learn why using probability to make informed decisions matters both in science and real life.

Towards The Performance Characterization Of A Robotic Multimodal Diagnostic Imaging System, George Papaioannou, Christos Mitrogiannis, Mark Schweitzer, Nikolaos Michailidis, Maria Pappa, Pegah Khosravi, Apostolos Karantanas, Sean Starling, Christian Ruberg

Publications and Research

Characterizing imaging performance requires a multidisciplinary approach that evaluates various interconnected parameters, including dosage optimization and dynamic accuracy. Radiation dose and dynamic accuracy are challenged by patient motion that results in poor image quality. These challenges are more prevalent in the brain/cardiac pediatric patient imaging, as they relate to excess radiation dose that may be associated with various complications. Scanning vulnerable pediatric patients ought to eliminate anesthesia due to critical risks associated in some cases with intracranial hemorrhages, brain strokes, and congenital heart disease. Some pediatric imaging, however, requires prolonged scanning under anesthesia. It can often be a laborious, suboptimal …

Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a …

Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a …

Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a …

Fan Art, Jacob Lay

Theses and Dissertations

This thesis examines the work of artists like Vincent van Gogh, Donald Baechelor, and Cezanne in their relationship to my work and contemporary painting. Drawing from personal letters, interviews, and essays on these artists, the paper places painting and drawing from the thesis exhibition in a history as well as relates them to current pop culture relics. The paper also includes a process-based analyses of how each painting is made and with what materials.

Cuentos De Barro, Daniel Anthony Vasquez

Theses and Dissertations

Cuentos de Barros addresses the complexities of creating art and processing indigenous heritage and personal history as a Salvadoran immigrant within a neo-colonial society. Centering ritual, care, and healing, the artist imbues sculptures with tenderness using abstract forms and the tactile manipulation of unfired clay and graphite.

Woe Be Gone, Yuhan Hu

Theses and Dissertations

In Woe be gone, Yuhan Hu explores the porous boundaries between image, memory, perception, and material through a deeply personal and reflective multimedia practice. Drawing on influences from film, literature, and game environments, Yuhan investigates how moments—fleeting or fixed—transform when mediated through photography, digital frames, and sculptural assemblage. Anchored by a series of installations and image-based works, the thesis unpacks the poetics of poor images, the failures and promises of translation, and the emotional residue of digital and physical touch. With a tactile sensitivity to materials like wood, wax, solder, and horsehair, Yuhan contemplates impermanence, miscommunication, and care, embracing …

Indeed, In A Way, It's Worse., Jani C. Zubkovs

Theses and Dissertations

This thesis investigates walking as both method and metaphor within an artistic practice grounded in photography. Through walking, I engage in a sustained act of seeing — one that resists the speed and consumption-driven logic of late capitalism and opens space for reflection, slowness, and heightened perception. My photographic work focuses on fragments of the built environment, particularly advertisements, signage, and residual human marks, reframing them through strategies of cropping, isolation, and recontextualization. These images question the distinction between original and reproduction, presence and absence, surface and depth. Drawing on thinkers such as Jonathan Crary, Luigi Ghirri, Siegfried Kracauer, and …

E Is For Ephemera, E Rady

Theses and Dissertations

E is for Ephemera contends with an artist's role as a performer - traversing questions of identity, documentation, temporality, authority, power relations and implication of the self in response to systemic forces. Here, performances are treated as zones in which simulated scenarios sometimes offer various potential opportunities to resolve.

Raised Spirits The Visceral Journey Of Black Generational Female Trauma And The Transcendent Healing Power Of Spiritual Dance, Wendy Ann Powell

Theses and Dissertations

Black female bodies have endured sustained trauma globally since the transatlantic slave trade, and it continues into 2025. The collective consciousness has carried the generational burden and mobilized it within the womb. Powell uses this intergenerational knowledge to frame the basis for spiritual dance practices as a healing praxis.