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Mat 301 - Applied Statistics And Data Analysis, Eric Aragundi

Open Educational Resources

Data analysis using standard statistical methods and relevant computer software. Emphasis on real-world data, interpretation, and misinterpretation of computer output.

This syllabus contains open source notebook about data analysis content.

Nuclear Magnetic Resonance Dynamics Of Pyrazole-Litfsi Eutectic Solvents As Promising Electrolytes, Emilia Pelegano-Titmuss, Giselle De Araujo Lima E Souza, Muhammad Zulqarnain, Ramez Elgammal, Thomas Zawodzinski, Steven Greenbaum

Undergraduate Research

Deep Eutectic Solvents (DESs) have emerged as promising candidates to replace conventional organic solvents in various technological applications due to their low vapor pressure, non-flammability, and ease of preparation at low costs. In particular, Type IV DESs, which are composed of metal salts and hydrogen bond donors, are possible replacements for lithium-ion battery electrolytes due to their potential of having high lithium transference numbers. In this study, we investigated solvents of Pyrazole and LiTFSI at varying molar ratios using Fast Field Cycling (FFC) NMR Relaxometry. Notably, the 1:2 LiTFSI: Pyrazole sample shows distinct behavior, exhibiting enhanced relaxation rates for ^{1 …}

Characterization Of Sars-Cov-2 Replication And Transcription Complexes Via Structural And Evolutionary Approaches, Amelie Ghirardo, Ben Shabatian, Avishai Aghelian, Kyle Tau, Eleonora Gianti

Undergraduate Research

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused around 700M cases and over 7M COVID-19-related deaths recorded worldwide (World Health Organization, March 2025). Aiming to effectively combat this and other disease-causing Coronaviruses (CoV), unprecedented research efforts led to the development of new vaccines and antiviral therapies. Due to emergence of variants of concern (VOCs) with increased transmissibility, immune evasion from vaccination, and potential to resist the available treatments, SARS-CoV-2 continues to represent a major threat to global health. Hence, there is a pressing need to discover new antivirals with broad-spectrum efficacy against multiple SARS-CoV-2 variants and related CoVs. This project …

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 …

Exposure To And Impact Of Unhealthy Food Marketing On Adolescents And Young Adults: A Narrative Review And Research Agenda, Nicholas Freudenberg, Rositsa Ilieva

Publications and Research

Consumption of unhealthy food has become a leading cause of premature deaths and preventable illnesses around the world. Research shows that marketing by the companies that produce, distribute, and sell unhealthy foods and beverages is associated with increased consumption of these products. To date, however, limited research has focused on the cumulative exposure and impact of various modes of marketing employed to reach distinct populations. In this narrative review, we summarize 25 years of scientific evidence and findings from 108 empirical studies and 19 systematic and scoping reviews of various forms of unhealthy food marketing to adolescents (aged 13 to …

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; …

Protein Stability Retention Under Harsh Conditions, Kaylen Su

Student Theses and Dissertations

Plastic waste is a growing environmental concern due to its resistance to natural degradation, leading to long-term accumulation in landfills and oceans. One potential solution is enzymatic degradation, where specific enzymes break down plastic into smaller, biodegradable components. However, enzymes often lose their effectiveness under the extreme conditions plastics experience during manufacturing, such as high temperatures, mechanical stress, and dehydration. This study explores whether small molecules, known as ligands, can help stabilize enzymes and improve their ability to break down plastics.

Using molecular dynamics simulations, we tested four ligands—poly(ethylene glycol) (PEG), 6-hydroxyhexanoic acid (HHA), benzalkonium chloride (BC), and 6-aminohexanoic acid …

Investigating Potential Sugar-Related Uncertainties In A Proxy For Ancient Co2, Liam Cooper

Student Theses and Dissertations

The ε_p proxy for ancient pCO₂ can potentially estimate ancient pCO₂ as from the evolution of rubisco-based photosynthesis, using the difference in stable carbon isotope ratios (δ¹³C) between fixed and inorganic carbon, assuming this difference is proportional to pCO₂. This study aims to address uncertainty with the use of photosynthetic microbes in proxies for ancient pCO₂. While previous studies address uncertainties related to the δ¹³C of initial fixed photosynthate (e.g., growth rate), we aim to address the effects of downstream carbon allocation. Specifically, if a significant fraction of fixed …

Meeting People Where They Are At: Accessible Approaches To Ceramic Design And The Artistic Process, Molly E. Thompson

Publications and Research

This paper explores accessibility for disabled people in ceramics, drawing upon my personal experiences as a disabled potter at Artistry Community Arts Center in Vermont. I begin with a discussion of how the process of creating pottery can be made more accessible, with a list of adaptable tools I have discovered and anecdotes about how pottery instructors can adapt their teaching styles to different needs. I then explore different examples of adaptive pottery made specifically for disabled people, including some of my own work. While recounting my own successes and failures in pottery production, I conclude that imperfection is the …

Improving Healthcare Access Among Hunter College Students – Suggestions For A Hunter College Student Health Center, Jacob Villorente

Publications and Research

This study investigates disparities in healthcare access among students at CUNY Hunter College, an urban public university in Manhattan serving over 22,000 students. 89% of Hunter students receive financial aid, with 67% of students receiving Pell grants. Hunter College only offers limited health services, primarily short-term mental health counseling and wellness workshops. A cross-sectional survey (n = 33) assessed insurance status, coverage (dental, vision, psychiatric), access barriers (e.g., transportation), mental health symptoms, and impacts to academia. While 69.7% of respondents reported comprehensive insurance, students with public insurance (Medicaid, Medicare) experienced substantially higher access barriers than those with employer-sponsored plans and …

Quick And Easy Method For The Determination Of Cocaine And Six Metabolites In Postmortem Hair, Samantha C. Mulkeen

Student Theses

Hair testing is increasing in popularity in toxicology because of its long window of detection and ease of collection and sample storage. However, it has its limitations largely due to external contamination of drugs. In particular, cocaine (COC) is a common offender of this as it has several routes of consumption. Analyzing metabolites of COC may be the key to distinguishing between consumption and external contamination. The aim of the present study was to develop a quick, easy, and sensitive method for the detection and quantification of COC, benzoylecgonine (BE), norcocaine (NCOC), cocaethylene (CE), anhydroecgonine methyl ester (AEME), meta-hydroxy-cocaine (m-OH-COC), …

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 …

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 …

Machine Learning Course: A 15-Week Interactive Curriculum With Code And Case Studies, Pegah Khosravi

Open Educational Resources

This open-access machine learning course is a comprehensive 15-week curriculum developed and published on GitHub with full Google Colab compatibility. It combines theoretical concepts with hands-on Python coding, real-world datasets, and structured projects covering regression, classification, clustering, deep learning, transformers, and multimodal AI. The course is designed for students, educators, and researchers interested in applied machine learning, including biomedical applications. It includes explainable AI components and ethical discussions to align with modern AI standards. The course is maintained by BioMind AI Lab at CUNY.

Sociology: An Introduction, Marcia Morrison

Open Educational Resources

This document introduces the reader to basic sociological concepts including the origins of sociology as a discipline, including its progression into a formidable science. It explores the role of its founding fathers as well as the field's emergence from the various reformations and revolutions to being a stand-alone discipline.

Automation Of Javanese Shadow Puppets Using Machine Control, Kristian Rice, Yinson Tso, Mukhammadali Yuldoshev

Publications and Research

The virtualization of Javanese shadow puppetry (Wayang Kulit) offers a unique opportunity to preserve and revitalize traditional performance art through immersive digital platforms. This project explores the development of a virtual Wayang Kulit experience using real-time 3D engines like Unity/Unreal Engine while focusing on simulating the mechanics and aesthetics of shadow puppet performance. The puppets are designed using detailed 2D planes and rigged with skeletal systems to reflect the stylized motion of traditional puppetry. An aspect of this project is integrating an AI-driven control system that autonomously animates the puppets, learning from recorded puppeteer performances to replicate gesture, rhythm, and …

Computational Fluid Dynamics Analysis Of A Turbine Blade, Luis Luna, Fabiha Samiha

Publications and Research

In Aerospace engineering, the use of computer-aided design (CAD) software, such as SolidWorks, is crucial when designing and validating high-performance parts. SolidWorks provides a valuable tool for simulating computational fluid dynamics (CFD), allowing engineers to analyze and visualize how parts behave under real-world aerodynamic conditions.

One such part is a turbine blade, an airfoil-shaped component inside a jet engine that compresses and redirects airflow to generate thrust. This study aims to perform aerodynamic testing of a single turbine blade design while evaluating SolidWorks' ability to simulate external flow conditions. By visualizing velocity profiles, pressure distribution, and vortex formation, the simulation …

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 …

Webdesign Jayasaintfrances.Com, Taylor Mcauliffe

Publications and Research

No abstract provided.

Symmetry Induced Pairing In Dark Excitonic Condensate At Finite Temperature, Adham Alkady, Anatoly Kuklov

Publications and Research

Bose Einstein condensate of dark intervalley excitons must be inherently multi-component because of crystalline symmetries. Since valleys hosting such excitons are separated by large quasi-momenta, a minimal inter-component Josephson-type coupling can only be established between pairs of excitons from the time-reversed valleys. As a result, a paired condensate can emerge at finite temperature, that is, the off-diagonal order exists for the pairs from the time-reversed valleys, while the individual valleys are disordered. This prediction follows from the elementary mean field analysis regardless of the dimensionality. However, as Monte Carlo simulations show, no such a phase exists in 3D crystals. Instead, …

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 …

Theoretical Proof Of And Proposed Experimental Search For The Ground Triplet State Of A Wigner-Regime Two-Electron ‘Artificial Atom’ In A Magnetic Field, Marlina Slamet, Viraht Sahni

Publications and Research

It is experimentally established that there is no ground triplet state of the natural He atom. There is also no exact analytical solution to the Schrödinger equation corresponding to this state. For a two-dimensional two-electron ‘artificial atom’ or a semiconductor quantum dot in a magnetic field, as described by the Schrödinger–Pauli equation, we provide theoretical proof of the existence of a ground triplet state by deriving an exact analytical correlated wave function solution to the equation. The state exists in the Wigner high-electron-correlation regime. We further explain that the solution satisfies all requisite symmetry and electron coalescence constraints of …

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.

Realistik Heaven, Alexa H. Senan

Theses and Dissertations

“Realistik Heaven” processes the traumas, forced transformations and the cannibalization of womanhood and culture as a result of colonization. Inspired by Oswald de Andrade’s Cannibalist Manifesto, Senan writes to evoke the literal meaning of Andrade’s description of the cannibalization of culture and having to become someone new cannibalizing themselves while still longing for the remains of the past.

Ontological Exhaustion And Metabolic Affect, Katelyn Reece Farstad

Theses and Dissertations

Ontological Exhaustion and Metabolic Affect explores the artistic practice of Katelyn Reece Farstad through the logic, physiology, and spiritual symbolism of the housefly. This body of work draws from personal experience with neurological trauma, mapping how perception fractures, reorients, and reforms in the wake of psychic rupture. The housefly—erratic, hyper-attuned, maligned—becomes both method and metaphor. Its larval state mirrors the latency of neuroplastic healing; its compound vision reflects perceptual multiplicity; its obsessive return to sites of decay parallels the recursive nature of memory and loss.

Working across sculpture and painting, I metabolize found objects and sensory residues into forms that …

Inheriting America, Emily Wichtrich

Theses and Dissertations

Fine Arts thesis on Christianity and the United States.

Familiarity And Distance, Marc Ferraro

Theses and Dissertations

This paper places a space of ideas in conversation with a tactile reality. I propose archetypes of modernism as formal outlines and points of familiarity to a general audience. My work seeks to refigure these common formats in painting and sculpture by subjecting them to an unpredictable process of tactile manipulation. Questions of legibility are raised by asking how repeat encounters with forms of visual language shape expectations and understanding.