Digital Commons Network^™

Reducing Preoperative Anxiety In Patients Undergoing Gynecologic-Oncology-Related Surgeries, Iman Sean Lavine-Richardson

Doctor of Nursing Practice Final Manuscripts

Elevated levels of preoperative anxiety are associated with adverse effects in the postoperative period. Evidence demonstrates the effectiveness of incorporating multimedia into preoperative education to alleviate preoperative anxiety. This project aims to decrease preoperative anxiety levels and increase satisfaction and feelings of preparedness in patients scheduled to undergo gynecologic-oncology-related procedures through the implementation of an evidence-based practice (EBP) informational video. The San Diego 8A’s EBP model was utilized to guide this project. Data was collected, anonymously, through online questionnaires which included the Anxiety Specific to Surgery Questionnaire (ASSQ) to assess anxiety levels and Likert-scale questions to assess satisfaction and feelings …

Enhancing Emergency Preparedness In California High Schools: A Policy Framework For Implementing Nata-Compliant Emergency Action Plans Through Multidisciplinary Task Forces, Jennifer Lu

Doctor of Nursing Practice Final Manuscripts

Abstract

Background: Sudden cardiac arrest (SCA) is the leading cause of death in young athletes, yet it is highly survival with proven measures: a structured emergency action plan (EAP), cardiopulmonary resuscitation (CPR) training, and access to an automated external defibrillator (AED) within 3 minutes can raise survival rates to 90%. Despite this, high schools show inconsistent compliance, largely due to the lack of fragmented oversight and lack of standardized practices

Purpose of Project: This proposal advocates for multidisciplinary task forces to enforce venue-specific, National Athletic Trainers Association (NATA)-compliant EAPs across California high schools, with the goal of improving emergency response …

Implementation Of Comprehensive Checklist For Opioid Use Disorder Treatment In Primary Care, Sophia R. Madden

Doctor of Nursing Practice Final Manuscripts

Background: The escalating opioid crisis demands a comprehensive approach to Opioid Use Disorder (OUD) management. Patients often face comorbid mental illnesses, infectious diseases, concurrent substance use, and social determinants of health (SDOH)—all of which increase the risk of treatment attrition. Standardizing care through evidence-based clinical practice guidelines and tools is essential for improving treatment quality and consistency.

Purpose: This project aimed to increase comorbidity screenings and improve resource access for OUD patients at a San Diego Internal Medicine primary care office by implementing a comprehensive care checklist based on the American Society of Addiction Medicine (ASAM) guideline.

Methods: The ASAM …

Empowering Healing And Recovery: Adverse Childhood Experiences Screening In A Cognitive Behavioral Therapy Intensive Outpatient Program, Serena C. Lee

Doctor of Nursing Practice Final Manuscripts

Purpose: This evidence-based practice project implemented Adverse Childhood Experiences (ACEs) screening in an adult Cognitive Behavioral Therapy Intensive Outpatient Program (COG IOP) at San Diego's largest behavioral health hospital to identify ACE exposure, deliver supportive interventions, and enhance clinician competency in trauma-informed care.

Background: ACEs are potentially traumatic experiences occurring before age 18 that are associated with toxic stress and worsening health outcomes. Despite evidence linking ACEs to adverse outcomes and substantial healthcare costs, routine ACE screening is not standardized in behavioral health settings.

Methods: Guided by the San Diego 8A's Evidence-Based Practice model, eligible patients were offered ACEs screening …

2026 Commencement Exercises, Benjamin N. Cardozo School Of Law

Commencement Programs

Order of Exercises

Processional:

Felix Wu, JD, PhD, Vice Dean, Professor of Law, Herald

Presiding: 

Selma Botman, PhD, Provost and Vice President for  Academic Affairs, Yeshiva University, Chief Marshal

Rabbi Dr. Ari Berman, President, Yeshiva University

National Anthem: 

Cantor Ira W. Heller, JD, Benjamin N. Cardozo School of Law, Class of 2008

Remarks: 

Melanie Leslie, JD, Dean, Benjamin N. Cardozo School of Law, Class of 1991

Commencement Address: 

Hon. Rowan D. Wilson, Chief Judge of the State of New York and the New York Court of Appeals

Student Remarks: 

Quentin Decurnes, LL.M. Class Speaker, Class of 2026

Basya Bates, …

The Impact Of Road Quality On Nearby House Prices, Michael Cary, Brad Humphreys

Economics Faculty Working Papers Series

This paper estimates the impact of road quality on house prices in Hamilton County, Ohio, USA which includes the city of Cincinnati. We use a hedonic regression framework using road segment level international roughness index (IRI) data as a measure of road quality. We find that rougher roads decrease house prices, with a one standard deviation increase in road roughness from the sample mean decreasing house prices by 3.5%. This equates to a $6,700 decrease in the value of an average priced home in our sample, demonstrating the importance of road quality and maintenance for local economic development.

Applying A Neurodiversity-Informed Approach To Understanding Resolution In Families Raising A Child With Autism, Emma Manole

Honors College Theses

The first known documentation of the syndrome we today refer to as autism spectrum disorder (ASD) was published by Austrian psychiatrist Leo Kanner (1943), who identified a cluster of disordered symptoms among 11 young children, which he termed “early infantile autism”. Consequently, the psychiatric world became aware of autism as its own disorder separate from schizophrenia or “childhood psychosis” (Wing, 1997). Since then, the ways in which autism is studied, diagnosed, referred to, defined, and treated have seen drastic changes (Blacher & Christensen, 2011) over the course of almost a century. It is only natural that the perceptions held by …

Edge Co-Occurrence Regularization For Node Classification, Kadir Altunel

Theses

We propose a simple yet effective regularization technique for node classification on graphs that leverages edge-based label co-occurrence patterns. We first train an MLP on node features to produce class probability distributions, then compute a fixed penalty matrix from edge-based co-occurrence statistics of these predictions. This penalty matrix, which captures unlikely class combinations on connected nodes, is then used to regularize GNN training without further updates. We evaluate this approach across multiple homophilic datasets (Cora, CiteSeer, PubMed, ogbn-arxiv) and heterophilic benchmarks (Chameleon, Squirrel, Actor, Roman-Empire) using three GNN architectures: GCN, GraphSAGE, and H2GCN. Results show consistent improvements on homophilic graphs, …

Deep Learning Approaches For Ctenophore Identification And Tracking, Anagha Bharadwaj

Theses

Ctenophores are translucent marine organisms with nearly invisible tentacles and pose significant challenges due to their transparent morphology and ambiguous structural features. This research addresses the classification and tracking of these organisms and evaluates the performance of current computer vision models under sparse-data environments.

A dataset from the NJIT Life History Lab consisting of microscopic laboratory videos and photographs of different growth stages is used to train and assess a number of convolutional neural network designs, including VGG16, ResNet, BioCLIP2, YOLO, and DeepLabCut. Additionally, a web-based interface is developed to evaluate expert-labeled ground truth with the model's performance.

The findings …

Sound Detection Of Memory Leaks In Llvm Ir Programs Using Accumulation Analysis, Robert Blacha

Theses

Resource leaks occur when a limited resource such as memory is allocated by a program and needlessly held past the point of use. Leaks can lead to a degradation of services which can be specifically triggered with malicious behavior, for example abusing a memory leak in a program to cause a server to slow down and crash for a denial-of-service attack.

Prior work has demonstrated that accumulation analysis provides a sound detection of resource leaks with a working implementation for programs written in Java. While useful, current implementations are limited to programs written in Java, which has a garbage collector, …

Adaptive Multimodal Smart Home Control On A Raspberry Pi 5 Using Hand Gestures, Voice Cues, And User Feedback, Vaibhav Bora

Theses

A real time multimodal smart home control system deployed on a Raspberry Pi 5 is presented. The system combines hand gestures, short voice cues, and proximity aware interaction to execute household commands such as light brightness control, fan speed adjustment, and stop or kill switch actions. Lightweight gesture and keyword spotting voice classifiers were trained offline and exported to TensorFlow Lite for efficient on device inference. For more natural spoken phrases, the system additionally integrates a locally deployed pretrained offline ASR component rather than a speech recognizer trained from scratch. Using a USB camera and microphone, the system operates fully …

Evaluation Of Medical Instrument Reliability For The Heath And Maddox Components Of The Accommodative-Vergence System, Jacob Chabuel

Theses

Binocular vision relies on the coordination of near response triad composed in part by the vergence and accommodative systems. Binocular dysfunctions linked to these systems impact the quality of life of those affected by complicating day-to-day tasks and leading to further health concerns. Clinical evaluations that diagnose dysfunctions and tailor therapies rely on subjective methods, creating a need for a reliable, quantitative, measurement tool. This is achieved using a haploscope, a tool that quantitatively measures and observes binocular vision to identify deficiencies within the eye. Modernization of a haploscope system, measurement of the Heath and Maddox components of the visual …

Autonomous Exploration Of An Environment With Static Obstacles Using A Ppo Agent, Brandon Knight

Theses

Research in autonomous exploration has created many effective algorithms that have been tested and proven to work in many different virtual and physical environments. Many optimizations have also been developed to reduce computational effort and increase exploration speed.

However, despite optimizations, these algorithms can still require considerable computational effort and time to explore even small environments. To obtain further improvements in computation and exploration speed, a reinforcement learning agent using actor-critic style proximal policy optimization (PPO) is trained to explore various environments efficiently, then compared to an algorithm using contemporary exploration methods.

Testing is performed in virtual environments with ideal …

Pypitfall: Dependency Chaos And Supply Chain Vulnerabilities In Python, Jacob Mahon

Theses

Python software development heavily relies on third-party packages. Direct and transitive dependencies create a labyrinth of software supply chains. While it is convenient to reuse code, vulnerabilities within these dependency chains can propagate through dependencies, potentially affecting downstream packages and applications. PyPI, the official Python package repository, hosts many packages and lacks a comprehensive analysis of the prevalence of vulnerable dependencies. PyPitfall, a quantitative analysis of vulnerable dependencies across the PyPI ecosystem, is introduced. The dependency metadata of 378,573 PyPI packages is analyzed. 4,655 packages that explicitly require a known vulnerable package version and 141,044 packages that permit a vulnerable …

Retinomorphic Mid-Wave Infrared In-Sensor Processing Engine: Device-To-Architecture Co-Design, Hemalatha Nagaraju

Theses

Conventional frame-based CMOS image sensors acquire full-frame pixel data at discrete time intervals, resulting in substantial spatial redundancy and loss of temporal information between frames. The repeated conversion and transfer of redundant pixel data increases bandwidth and power consumption in machine vision systems. Retinomorphic sensing architectures address these limitations by enabling programmable, analog-domain processing directly at the sensor interface. A compact behavioral model of the PbSe device is developed in HSPICE based on calibrated TCAD simulation data to capture gate-controlled photocurrent modulation under varying illumination and gate bias conditions. Error analysis is performed to quantify the deviation between TCAD-generated photocurrent …

Robustness Of Ai-Driven Histopathology Under Real-World Adversarial Examples, Ruchik N. Yajnik

Theses

This robustness of histopathology classification models under adversarial and real-world perturbations resembling clinical artifacts is being investigated.

Using whole-slide images from the CAMELYON17 cohort, four representative architectures—ResNet-18, ResNet-50, HIPT-2MLP, and ViT-B/16 —are benchmarked across controlled pixel-level distortions and artifact-like transformations. Adversarial methods include iterative Fast Gradient Sign, Projected Gradient Descent, Salt-and-Pepper noise, and the Adversarial Watermark—Stain Shift (AWSS). Three defense strategies—Randomized Smoothing, Adversarial Training, and an Artifact Detector—are evaluated for their ability to preserve diagnostic accuracy and model reliability. Structured perturbations consistently degrade performance, with transformer-based models showing the greatest sensitivity. The benchmark developed here offers a reproducible framework for …

Machine Learning-Driven Prediction And Mechanistic Insight Into Co2 Adsorption On Biomass-Derived Activated Carbons Using Explainable Ai (Xai), Dalia A. Ali Dr.

Chemical Engineering

To improve CO2 uptake in Biomass-Derived Activated Carbon (BDAC), this study develops a multiscale hybrid digital twin framework. By integrating microscopic descriptors from Density Functional Theory and Molecular Dynamics (DFT/MD) with experimental data from 63 chemically diverse biomass precursors, a Gaussian Process Regression (GPR) model was developed using the Materń 5/2 Automatic Relevance Determination (ARD) kernel. The framework achieved high internal training accuracy (R2 = 0.968) and Root Mean Square Error (RMSE = 0.2552), while providing a realistic generalization baseline across heterogeneous precursors with a 5-fold Cross Validated (CV) R2 of 0.1567 and CV RMSE of 0.283. Explainable Artificial Intelligence …

Exercise Prescription For Adults With Prediabetes In The Primary Care Clinic, Katherine W. Hall

Doctor of Nursing Practice Final Manuscripts

Prediabetes affects approximately one in three adults in the United States, with an estimated 10% progressing to Type 2 Diabetes Mellitus (T2DM) annually. Despite strong evidence supporting exercise as a first-line intervention to prevent disease progression, most patients in primary care settings do not receive structured physical activity counseling. This evidence-based project (EBP) aims to address this gap by implementing a standardized protocol to assess baseline physical activity levels and deliver individualized exercise prescriptions to adults with prediabetes in the primary care clinic.

Eligible participants, defined by HbA1c values between 5.70% and 6.49%, were identified during routine primary care visits …

Evaluating The Role Of Ultrasound As A Tool For Airway Assessment And Management For Anesthesia Providers, Alexyss Capestany

Doctor of Nursing Practice Final Manuscripts

Introduction: The ability to predict and manage difficult intubations is a critical component of airway management in clinical practice.

Background: Ultrasound airway assessment has emerged as a valuable tool in predicting difficult intubation, yet its integration into routine clinical practice remains limited. This Doctor of Nursing Practice (DNP) project aimed to educate healthcare providers, specifically nurse anesthetists, on the use of ultrasound to assess airway anatomy and enhance prediction of difficult airways.

Methods: An evidence-based airway assessment, the Difficult Airway Evaluation with Sonography (DARES), was implemented during a single-day skills fair. Participants received both didactic instruction and hands-on training focused …

Sleep Tight: A Sleep Hygiene Bundle For Adults To Improve Sleep Quality In A Skilled Nursing Facility, Meaghan Corbin

Doctor of Nursing Practice Final Manuscripts

Abstract

Nearly two thirds of skilled nursing facility (SNF) residents report poor sleep. Negative consequences of poor sleep are depressed mood, anxiety, pain, cognitive impairment, increased risk for dementia, fatigue, decreased concentration, and lower activity participation. A review of literature has shown that implementation of non-pharmacological sleep interventions can significantly improve sleep quality. The aim to screen SNF residents on current self-reported sleep quality and provide non-pharmacological sleep interventions. The evidence-based project utilized the 8 A’s Model. Using the Pittsburg Sleep Quality Index (PSQI), a resident with a score above 0, received the non-pharmacological sleep hygiene bundle: eye mask, earplugs, …

Improving Transition To Adult Care: Assessing Health Insurance Literacy In Adolescent Patients With Congenital Heart Disease, Kaitlyn V. Mudge

Doctor of Nursing Practice Final Manuscripts

Background: With advances in surgery and medical management, 95% of children with congenital heart disease (CHD) survive into adulthood. Transition to adult care is an intricate process. Up to 60% of adolescents fail to follow through with cardiology care, facing three times the risk of needing emergency services. Only 25% of young adults with CHD knew of the need to change their care to an adult provider and to acquire health insurance as an adult. One barrier to successful transition is a lack of insurance coverage and limited insurance health literacy. Higher insurance literacy is associated with increased utilization …

Drilling Fluid Enhancement Via Addition Of Sustainably Synthesized Nanoparticles, Hasan A. Abbood, Sarmad Al-Anssari

Research outputs 2022 to 2026

The addition of nanoparticles to the drilling fluids for geological projects is a promising application for enhancing the stability, rheological properties, and overall performance of the mud. This study aims to thoroughly analyze and compare the effects of silica and alumina nanoparticles on the properties and effectiveness of polymer drilling mud. Silica and alpha-alumina nanoparticles were synthesized using the sol-gel process and characterized through several techniques, including X-ray diffraction, Fourier-transform infrared spectroscopy, field-emission scanning electron microscopy, and atomic force microscopy. The effects of silica and alumina nanoparticles on various properties of drilling mud were then measured using a permeable plugging …

The Dialectics Of Governance – Navigating Institutional Complexity, Trust, And Innovation In Indonesia, Muhammad Ramaditya, Rijal Ramdhani

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

No abstract provided.

Accessibility And Daily Cigarette Consumption Among Indonesian Adolescents: A Descriptive Study, Noviana Lathifah, Istiqomah Hanifah Rachman, Anisa Isnaini, Gloria Threesia Piliphinsa Simatupang

Journal of Indonesian Health Policy and Administration

Despite restrictive regulations, Indonesia faces a high prevalence of adolescent smoking, facilitated by easy access to tobacco products. This descriptive study aims to describe cigarette accessibility patterns and daily consumption trends among Indonesian adolescents. A cross-sectional study was conducted using secondary data from the 2019 Global Youth Tobacco Survey (GYTS) involving 9,208 respondents. Descriptive analysis was performed to examine the distribution of age at smoking initiation, daily cigarette consumption, and purchasing accessibility. The majority of respondents started smoking at ≥14 years of age. Daily cigarette consumption showed an increasing trend with age, with older adolescents more likely to consume more …

Re: Approval Letter For The Draft Final 2026 Butte Priority Soils Operable Unit (Bpsou) Type B Borrow Material Submittal #3 (Dated May 6, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Temwayaj: An Exploration Of Intergenerational Trauma And Resilience Through The Wisdom Of Haitian Elders, Niara J. Carrenard

Graduate Masters Theses

Haitian people have a unique history of trauma shaped by colonial violence, the brutal legacy of slavery, and political instability all of which intersect to create a complex and multifaceted experience of trauma across generations. This study explores how intergenerational and historical trauma are understood, carried and expressed across generations in the Haitian community. Drawing from grounded theory, this research examines the layered effects of colonial violence and chronic instability on Haitian people. While trauma is typically described as an individual phenomenon, this project is examining trauma as a relational process that manifests amongst different generations. Through in-depth qualitative interviews, …

Identity And Distress: The Role Of Misracialization And Membership Esteem In Multiracial Mental Health, Jordan Cherry

Graduate Masters Theses

The population of Multiracial individuals in the US is growing (Jones et al., 2021). Multiracial people face a higher likelihood of adverse consequences, including reconciling the significance of holding multiple racial identities in a society that predominantly categorizes race in single categorical terms (Gabriel et al., 2023). The inaccurate perception of Multiracial individuals by others, or misracialization, is a result of this dynamic. Research indicates that inaccurate racial representation relates to worse mental health outcomes for Multiracial individuals (Campbell & Troyer, 2007; Does et al., 2023; Franco, Toomey, et al., 2021; Lusk et al., 2010). Further, one’s racialized experiences have …

Omama-Db: The Oregon-Massachusetts Mammography Database, Avanih Kanamarlapudi

Graduate Masters Theses

Public datasets for training AI models in breast cancer screening are limited in size and quality, making it difficult to develop reliable systems. We introduce OMAMA-DB, an extensive publicly available collection of 2D mammograms and 3D tomosynthesis volumes. Starting from 967,991 images, we created a curated set of 231,080 images us ing a multi-stage filtering process that removes missing labels, uncommon dimensions, rare scanner types, duplicate studies, and invalid DICOM files. All 2D images then undergo additional outlier detection using histogram filtering and a variational autoen coder to remove low-quality outliers. OMAMA-DB includes pathology-based cancer labels and automated lesion annotations …

Anti-Mattering And Negative Core Beliefs In The Association Between Internalized Racism And Social Anxiety, Alicia K. López

Graduate Masters Theses

Internalized racism is associated with adverse mental health conditions, including anxiety. However, research examining the relation between internalized racism and social anxiety remains limited. The primary purpose of this current study was to explore the relation between internalized racism and social anxiety and whether cognitive processes, such as negative core beliefs about the self or interpersonal factors, such as anti-mattering help explain this relation.  Specifically, this study examined anti-mattering as a potential mediator linking internalized racism and social anxiety and whether negative core beliefs about the self, mediate the relation between internalized racism and anti-mattering. Lastly, the study examined a …

Simulating The Movement Of A Major League Fastball, Max M. Moss

Graduate Masters Theses

The orientation of the seams on a baseball may seem arbitrary in nature; however, they play an enormous role in the aerodynamics of the ball during its short flight to home plate. This thesis aims to model the movement of a four-seam fastball as accurately as possible using the fourth order Runge-Kutta method. The model incorporates the effect of the seams on the path of the ball by utilizing the oscillating cross-sectional area, which varies for each angle of rotation. The simulated results demonstrate a strong agreement with the observed pitch trajectories, accurately reproducing both induced vertical break and horizontal …