Digital Commons Network^™

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/

Common Challenges Faced By Early-Career Researchers In Latin American And Small U.S. Universities, Daniela Cejas, Fatima Rodriguez Acosta, Juan Rivera-Correa

Publications and Research

Early-career researchers from Spanish-speaking Latin American countries and small U.S. universities are underrepresented in international scientific databases. They have geographical importance, infectious disease endemicity, and exceptional researchers in microbiology, but these factors do not translate to representation in high-impact scientific publications. Many reasons could be involved, including financial burdens such as the inability to pay article processing charges. Additional teaching, institutional, and service responsibilities also highly influence their research productivity. Despite this, they are expected to publish high-impact articles, and their career development highly depends on it. There is an opportunity for global peer collaboration to tackle this inequity and …

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 …

Latino Voter Registration And Participation Rates In The 2016, 2020, And 2024 Presidential Elections, Laird W. Bergad

Center for Latin American, Caribbean, and Latino Studies

Abstract

This report examines Latino voter participation in U.S. presidential elections from 2016 to 2024, highlighting significant increases in registration and turnout between 2016 and 2020, followed by declines in 2024.

Methods

The study is a descriptive and comparative analysis using data from the Voting and Registration Tables issued by the U.S. Census Bureau.

Discussion

In 2020, Latino voter registration and turnout reached historic highs but these gains plateaued in 2024 despite continued population growth.

Persistent disparities in Latino voter participation remained across age groups and sex. Additionally, Latino participation rates in 2024 remained lower than that of non-Hispanic white, …

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.

Russian Culture And Thought - Russ 150w, Malika Ziyamova

Open Educational Resources

The survey of Russian culture and civilization through the lenses of literature, art, folklore, music, history, politics, philosophy, and key aspects of everyday life. Russian history has resulted in a culture that is both familiar and alien to Western observers. Russia’s writers, intellectuals, artists, and scientists have been long and widely appreciated for their contribution to understanding the human condition. The reading, translation, adaptation, and response to their work has shaped a good deal of the cultural and intellectual heritage we have inherited.

Empirical Study On The Correlation Between Social Media Usage And Self Esteem, Parbatti Boodhoo

Publications and Research

Social media is a major part of everyday life for most young adults, and its effects on mental health, especially self-esteem, have become a growing area of research. Some studies have found that using platforms like Instagram or TikTok can negatively impact how people see themselves, especially when they compare their lives to others online (Magner, 2018). Others have shown that the way people use social media matters, passively scrolling may lower self-esteem, while interacting positively with others could have the opposite effect (Shashwat & Singh, 2024). On the other hand, social media can also help people feel more connected …

Youth-Driven Approaches To At-Home Dbs Hiv Monitoring: The Role Of Privacy, Clinical Trust, And Digital Tools, Cynthia Wen, Sitaji Gurung

Publications and Research

Dried blood spot (DBS) biosampling offers a convenient at-home option for HIV viral load monitoring, especially for youth facing clinic access barriers. This study explored youth perspectives on DBS through semi-structured interviews (n=6) from an NIH-funded project. Key themes emerged. Youth expressed a preference for discreet access and privacy was critical. They preferred clinic-based kit pickup and return to avoid stigma. Trust in clinic-promoted kits was important, as healthcare provider endorsement increased the credibility of the kits. Digital tools supported usability and awareness, with QR codes, video tutorials, and social media playing a significant role. Additional insights included the need …

Nasa Design And Analysis Of Pegda Hydrogels For Microgreen Cultivation In Space, Fabiha Samiha, Luis E. Luna, Kelly Wu, Gabriel Antigua, Artur Abramyan

Publications and Research

Through multiple experiments, Polyethylene Glycol Diacrylate (PEGDA), a biocompatible polymer, has shown potential as a soilless growing medium for microgreens like arugula. However, a challenge arises when the roots run out of space within the hydrogel capsule, pushing the plant out of position and preventing it from absorbing nutrients from the PEGDA.

This study aims to address this challenge by analyzing different 3D-printed mold designs for the creation of the hydrogel capsules. The most promising designs include coil and tree-branch models, which encourage roots to grow in a way that relieves pressure on the leaf side of the plant, helping …

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 …

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 …

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.

Investigating Genetic Regulators Of Crystal Cell Development In Drosophila Melanogaster, Anisa Turaeva, Nyla Walbrook, Andrea Feria, Rebecca Spokony

Publications and Research

In Drosophila melanogaster, hematopoiesis produces three types of blood cells (hemocytes): plasmatocytes, lamellocytes, and crystal cells, all of which provide vital immunological activities. Crystal cells have an especially essential role in melanization, a wound reaction mediated by prophenoloxidase enzymes. This study investigates genetic regulators of crystal cell growth by RNAi-mediated knockdown of five potential genes: ACXA, ACXB, Gp210, CG4390, and Cyp4s3. We used the GAL4/UAS system to selectively silence each gene and quantify crystal cell counts in wandering third instar larvae after heat shock-induced melanization. Our findings indicate that knockdown of ACXA and ACXB resulted in higher crystal cell …

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.

Garden Of Fragments, Justin Muegge

Theses and Dissertations

Justin Muegge's paintings take the aesthetic experience of garden spaces as a vehicle to explore abstraction. Referencing his research in traditional Chinese Scholar's Gardens, Muegge explores the conceptual premises of their design philosophies, raises questions on the history of abstraction and his own work, and expands upon themes in his painting.

Ignite, Morgan A. Mcguire

Theses and Dissertations

Ana, a perfect, popular star student and cheerleader, starts questioning the essence of her life. She finds a glitter-covered apparition, a Christian Youth Group, and a murky new friendship. Set against the omnipresent patriarchy of the early Oughts, Ignite explores the harsh realities of girlhood and growing up.

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.

Records In Space, Anthony Torrano

Theses and Dissertations

I am interested in how the process of layering has the capacity to mimic layers of history. History is a fraught concept, subject to changes with the passage of time, hierarchies in dissemination, and differing memories. Its precarity leaves some stories immortalized and some forgotten. The acts of recording, erasing, and rerecording in my work are a mediation on this liminality.

All Ego Must Die, Meredith Bakke

Theses and Dissertations

Using plasticity as a central framework, this thesis explores painting as a site for radical transformation of the self. Through symbolic engagement with sadism, ego death, and material play, it investigates how fantasy, fear, and imagination coalesce into a generative force—one that dismantles rigidity and opens space for discovery.

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.

Clod & Pebble, Ian Myers

Theses and Dissertations

What does Painting— its act, like a search; or material— have to do with truth? Probably nothing. Or what does it matter, or why ask? To Paint is to dig— deep! wide! to excavate! but in a busy park, and— now, look! you’ve ruined the softball game. Using the material conventions of early Christian icon painting— rabbit-skin gesso, viscous egg medium suspending ground pigments— the layers of my paintings accumulate like sediment. The surface is dredged, scraped back, leaving striations like stone and refined in search of light; space; revelation! or, piled high again, over and over.

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 …