Digital Commons Network^™

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 …

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.

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 …

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 …

The Struggles For Equality And Democracy In Modern China: Which Was More Influential?, Angelina K. Lambros

Publications and Research

This paper analyzes the struggles for democracy and equality in modern China, from the fall of the Qing Dynasty to the Tiananmen Square movement. It considers which struggle was more influential, evaluating the recurring theme of a fight for democracy in China since the New Culture Movement, and a quest for social and economic equality that Mao and the Chinese Communist Party committed themselves to. Ultimately, the paper concludes that the struggle for democratic norms and institutions was always present among the Chinese people, but it did not succeed in pushing the government or the Party to adopt political reforms. …

Full-Stack Web Applications: Industry Standard Frameworks, Libraries & Technologies, Yassine Chahid, Patrick Slattery

Publications and Research

This research explores emerging full-stack web development technologies across front-end, back-end, and DevSecOps domains. It evaluates modern tools including Django, React, and TypeScript—focusing on their key features such as compile-time error checking—through to the development of a web application. By examining documentation for the frameworks Node.js, Next.js, Tailwind CSS, and others, along with the deployment tools Docker and Git for version/release control, the study analyzes how these innovations speed up development, improve existing practices, and have often replaced older technologies. Cloud solutions for tasks such as authentication and deployment will also be evaluated, along with various web-application technology stacks and …

Querying The Ecological Sublime: Colonial Aesthetics, Anticolonial Thought, And The ‘Double Fracture’, Tacuma Peters

Publications and Research

This article examines the ecological sublime in its relationship to the history of colonial aesthetics, anticolonial thought, and contemporary colonialism. It argues that, while Edmund Burke utilized the sublime in support of colonialism (including settler colonialism) in North America and colonial slavery, Samson Occom and Ottobah Cugoano developed versions of the sublime to contest British colonialism in the Americas. The history of this aesthetic contestation has not been represented in scholarship on the ecological sublime, which, this article shows, has a vexed relationship with historical and contemporary colonialism. The article argues that the ecological sublime exhibits the “double fracture” of …

The Impact Of Ai On Salary Trends And Employment Projections, Anastasiia Semerianova, Annie Chen, Rebecca Mui, Ekaterina Viro, Hui Ting Huang, Thiy Alsaidi

Publications and Research

This project is designed to research the potential future impact of AI implementation on job displacement across key industries such as healthcare, manufacturing, and others. It aims to analyze how automation and AI technologies influence employment trends and workforce demands, as well as the correlation between AI integration and changes in salary structures. The goal is to provide data-driven insights that can inform policymakers, educators, and industry leaders on how to prepare for and adapt to evolving labor market dynamics.

Euroqol Data For Assessment Of Population Health Needs And Instrument Evaluation (Eq-Daphnie): A Study For Enhancing Population Health Assessment, Jeffrey A. Johnson, Mathieu F. Janssen, Fatima Al Sayah, Henry Bailey, Mihir Gandhi, Dominik Golicki, Nils Gutacker, Erica I. Lubetkin, Brendan Mulhern, Fredrick Dermawan Purba, Juan M. Ramos‑Goñi, Desiree Scott, Hilary Short, Trudy Sullivan, Rosalie Viney, Zhihao Yang, Victor Zárate

Publications and Research

Background

Methods for collecting self-reported health status measures in population health surveys vary significantly across countries, presenting challenges to comparability. The EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation (EQ-DAPHNIE) project aims to address this issue by developing infrastructure to generate representative datasets across multiple countries. This initiative aims to standardize data collection methodologies and to evaluate the performance of various health status measures, providing a foundation for reliable population health assessments. This paper describes the rationale, design and data collection methods for the EQ-DAPHNIE project.

Methods/design

EQ-DAPHNIE employs a cross-sectional online survey design targeting the general …

Punishing Pregnancy Loss: Miscarriage Criminalization As An Embodied Carceral Practice, Robin O'Hanlon

Publications and Research

The persecution of Brittany Watts, a 34-year-old Black Ohio woman arrested in September 2023 after experiencing a miscarriage, is emblematic of pregnancy loss criminalization as an embodied carceral practice. In the United States, the expansion of “fetal personhood” laws, coupled with a desire to punish imperfect pregnancies, have coalesced to produce policies and practices which actively police and criminalize pregnancy loss. The carceral regime of fetal personhood is further reinforced by medical paternalism and surveillance. I argue that the policies and practices which police pregnancy loss are rooted in a series of carceral logics, which are in turn reinforced by …

Propasafe: A Bert-Based Offline Tool For Propaganda Detection, Vivek Sharma, Mohammad Mahdi Shokri, Shweta Jain, Sarah Ita Levitan, Elena Filatova

Publications and Research

In an era marked by the rapid consumption of digital news, the proliferation of propaganda poses significant threats to democratic values and informed decision-making. We propose a novel framework that prioritizes user privacy while assisting in the automatic detection of propaganda in news articles, allowing users to sift through the rhetoric to read the relevant objective news. As a demonstration of this framework, we present Propasafe, a BERT-based browser extension designed to alert users to propagandist tones in news articles. By highlighting instances of propaganda-like language in real-time, Propasafe empowers users to critically engage with news content, promoting objective understanding …

Analysis Of Rare Events In Healthcare Intervention Using Department Of Defense Data: Intravenous Immune Globulin Therapy For Bullous Pemphigoid, Onur Baser, Huseyin A. Yuce, Gabriela Samayoa

Publications and Research

Introduction

Rare events data have proven difficult to explain and predict. Standard statistical procedures can sharply underestimate the probability of rare events, such as intravenous immune globulin therapy (IVIg) for bullous pemphigoid.

Methods

This retrospective cross-sectional study used Department of Defense TRICARE data to determine factors associated with IVIg therapy among bullous pemphigoid patients. We used prior and weighted correction methods for logit regression to solve rare event bias.

Results

We identified 2,720 individuals diagnosed with bullous pemphigoid from 2019 to 2022, of which 14 were treated with IVIg. Patients who received IVIg therapy were younger (65.07 vs. 75.85, P …

Autoradai: A Versatile Artificial Intelligence Framework Validated For Detecting Extracapsular Extension In Prostate Cancer, Pegah Khosravi, Shady Saikali, Abolfazl Alipour, Saber Mohammadi, Maxwell Boger, Dalanda M. Diallo, Christopher J. Smith, Marcio C. Moschovas, Iman Hajirasouliha, Andrew J. Hung, Srirama S. Venkataraman, Vipul Patel

Publications and Research

Preoperative identification of extracapsular extension (ECE) in prostate cancer (PCa) is crucial for effective treatment planning, as ECE presence significantly increases the risk of positive surgical margins and early biochemical recurrence following radical prostatectomy. AutoRadAI, an innovative artificial intelligence (AI) framework, was developed to address this clinical challenge while demonstrating broader potential for diverse medical imaging applications. The framework integrates T2-weighted MRI data with histopathology annotations, leveraging a dual convolutional neural network (multi-CNN) architecture. AutoRadAI comprises two key components: ProSliceFinder, which isolates prostate-relevant MRI slices, and ExCapNet, which evaluates ECE likelihood at the patient level. The system was trained and …

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

Publications and Research

Crystal cells, a subset of Drosophila melanogaster hemocytes, are important for melanization, a crucial immune response. While the genetic regulation of crystal cell develop remains incompletely understood, this study investigates the functions of five candidate genes: ACXB, ACXA, Gp210, CG4390, and Cyp4s3; identidied through previous genome-wide association studies. Using the Gal4/UAS system along with RNA interference (RNAi), we exclusively knocked down each gene in third instar larvae and quantified crystal cell populations following heat shock-induced melanization. Our results imply that the knockdown of ACXB and ACXA significantly increased crystal cell counts in both sexes, suggesting these genes either act as …

Constructing A Teaching Identity That Centers A Multilingual Stance Using Digital Literacies, Melissa Garcia, Nancy Dubetz, Jayra Sanchez

Publications and Research

Throughout their preparation programs, bilingual education teacher candidates (TCs) are asked to develop a “multilingual stance” (Garcia et al, 2017) which emphasizes valuing their own and their students’ multilingualism and linguistic diversity (Morea & Fisher, 2023; Duek & Nilsberth, 2022), as well as planning and implementing culturally and linguistically responsive lessons. Our study sought to understand whether and how taking part in computing and digital literacies (CDL) integrated teacher education activities could support TCs to develop this multilingual stance. Objectives and significance Authors of this poster teach three courses that span the course sequence of study in a Pre-K to …

Community-Level Analysis Of Anti-Asian Hate Crime, Jisoo Cho, Jinuk Jeong, Christopher Han-Fai Seto

Publications and Research

Motivated by the surge in anti-Asian hate crimes during the COVID-19 pandemic, this study examines the community characteristics associated with the likelihood of their occurrence from 2020 to 2023 through interracial conflict and social disorganization perspectives. Analyzing data from the New York City Police Department and the American Community Survey across 2,198 census tracts, we find that communities with higher levels of Asian population, racial heterogeneity, and residential instability have higher odds of experiencing anti-Asian hate crime. However, concentrated disadvantage and defended neighborhoods (White, Black, and Hispanic) are not significant across all estimated models. These findings have important implications for …

Building A Professional Learning Community To Improve Technical Services Librarians’ Teaching Preparedness: Assess, Act And Reflect, Junli Diao

Publications and Research

This action research was conducted to address the gap between having all librarians prepared to teach and technical services librarians’ unpreparedness to teach in a university library system. The implemented intervention was developing a professional learning community among technical services librarians with a variety of teaching experiences to improve teaching preparedness by sharing, discussing, and reflecting. The learning topics covered library teaching basics, motivating students, self-assessment, planning to teach, using Wikipedia for critical thinking, embedded librarianship and credit-bearing courses, teaching and research, and building a teaching portfolio and librarianship portfolio. A qualitative approach, including the implementation journal, reflective writing, and …

Racial Trauma, Psychosis, And Double Consciousness, Brianna A. Baker

Publications and Research

Key Points

• Black distress is often misdiagnosed as psychosis instead of recognized as a response to racial trauma.
• Double consciousness may explain how racism causes cognitive and emotional strain in Black individuals.
• Racial discrimination is linked to paranoia, dissociation, and hallucinations in Black communities.

Artificial Intelligence In The Library: Assessing Chatbots And Chatgpt Handout, Michelle Ehrenpreis, John P. Delooper

Publications and Research

In Spring 2023, the Leonard Lief Library at Lehman College (CUNY) conducted an assessment of its library chatbot which uses OpenAI’s ChatGPT API with the goal of improving its functionality and performance. This presentation highlights the assessment’s findings, including types of questions asked, and areas where the chatbot succeeds and where it struggles. Additionally, the presenters will detail the creation of a rubric to measure the accuracy and completeness of the chatbot’s answers for users. Through this presentation, the authors will showcase best practices for libraries looking to implement or experiment with chatbots at a time when use of artificial …

Artificial Intelligence In The Library: Assessing Chatbots And Chatgpt Presentation, Michelle Ehrenpreis, John P. Delooper

Publications and Research

In Spring 2023, the Leonard Lief Library at Lehman College (CUNY) conducted an assessment of its library chatbot which uses OpenAI’s ChatGPT API with the goal of improving its functionality and performance. This presentation highlights the assessment’s findings, including types of questions asked, and areas where the chatbot succeeds and where it struggles. Additionally, the presenters will detail the creation of a rubric to measure the accuracy and completeness of the chatbot’s answers for users. Through this presentation, the authors will showcase best practices for libraries looking to implement or experiment with chatbots at a time when use of artificial …