Digital Commons Network^™

Building Patient-Facing Technology: A Redcap-Based Approach, Yuheng Shi, Eric Yang, Katie Gahn, Heidi Mason, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

This work describes the architecture design of a patient-facing technology (PFT) based on the Research Electronic Data Capture (REDCap) platform and other tools to support cancer patients in self-tracking and managing medication concerns and symptoms during transitions of care. The design is guided by the Chronic Care Model (CCM) and User-Centered Design (UCD) principles for a personalized application to inform, engage, and empower patients. We describe the evolutional details of four major versions, which represent milestones of our PFT, highlighting how specific objectives were achieved and the barriers encountered. Additionally, patient representatives were involved in the evaluation of prototypes, and …

Deep5mc: Predicting 5-Methylcytosine (5mc) Methylation Status Using A Deep Learning Transformer Approach, Evan Kinnear, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

DNA methylations, such as 5-methylcytosine (5mC), are crucial in biological processes, and aberrant methylations are strongly linked to various human diseases. Genomic 5mC is not randomly distributed but exhibits a strong association with genomic sequences. Thus, various computational methods were developed to predict 5mC status based on DNA sequences. These methods generated promising achievements and overcome the limitations of experimental approaches. However, few studies have comprehensively investigated the dependency of 5mC on genomic sequences, and most existing methods focus on specific genomic regions. In this work, we introduce Deep5mC, a deep learning transformer-based method designed to predict 5mC methylations. Deep5mC …

Mmrt: Multimut Recursive Tree For Predicting Functional Effects Of High-Order Protein Variants From Low-Order Variants, Bryce Forrest, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

Protein sequences primarily determine their stability and functions. Mutations may occur at one, two, or three positions at the same time (low-order variants) or at multiple positions simultaneously (high-order variants), which affect protein functions. So far, low-order variants, such as single variants, double variants, and triple variants, have been well-studied through high-throughput experimental scanning techniques and computational prediction methods. However, research on high-order variants remains limited because of the difficulty of scanning an exponentially large number of potential variant combinations. Nonetheless, studying higher-order variants is crucial for understanding the pathogenesis of complex diseases, advancing protein engineering, and driving precision medicine. …

Enhancing The Utility Of Polygenic Scores In Alzheimer’S Disease Through Systematic Curation And Annotation, Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Polygenic Scores (PGSs) assess cumulative genetic risk variants that contribute to the association with complex diseases like Alzheimer's Disease (AD). The PGS Catalog is a valuable repository of PGSs of various complex diseases, but it lacks standardized annotations and harmonization, making the information difficult to integrate for a specific disease.

Methods: In this study, we curated 44 PGS datasets for AD from the PGS Catalog, categorized them into five methodological groups, and annotated 813,257 variants to nearby genes. We aligned the scores based on the "GWAS significant variants" (GWAS-SV) method with the GWAS Catalog and flagged redundant files and …

Investigating The Impact Of Social Determinants Of Health On Diagnostic Delays And Access To Antifibrotic Treatment In Idiopathic Pulmonary Fibrosis, Rui Li, Qiuhao Lu, Andrew Wen, Jinlian Wang, Sunyang Fu, Xiaoyang Ruan, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Idiopathic pulmonary fibrosis (IPF) is a rare disease that is challenging to diagnose. Patients with IPF often spend years awaiting a diagnosis after the onset of initial respiratory symptoms, and only a small percentage receive antifibrotic treatment. In this study, we examine the associations between social determinants of health (SDoH) and two critical factors: time to IPF diagnosis following the onset of initial respiratory symptoms, and whether the patient receives antifibrotic treatment. To approximate individual SDoH characteristics, we extract demographic-specific averages from zip code-level data using the American Community Survey (via the U.S. Census Bureau API). Two classification models are …

Squid Paralarvae Turn With High Agility Using Jets Near The Reynolds Number Threshold For Viscous Domination, Ian K. Bartol, Alissa M. Ganley, Paul S. Krueger, Joseph T. Thompson

Biological Sciences Faculty Publications

Turning is critical for survival in the ocean, as marine animals need to maneuver to capture prey, elude predators, and navigate complex environments. While prior research has focused on turning performance of adult swimmers, less is known about early ontogenetic stages that locomote within lower Reynolds number (Re) regimes, especially young jetters. To evaluate squid paralarval turning proficiency and the role of the pulsed jet in maneuvers, recently hatched longfin squid Doryteuthis pealeii swimming in a viewing chamber were studied using digital particle image velocimetry and kinematic motion analyses. Paralarvae exhibited a wide repertoire of turning behaviors, including those performed …

Genome-Wide Snp Analyses Reveal High Gene Flow Of Endemic Smallscale Croaker (Boesemania Microlepsis) In The Lower Mekong Basin, Quyen Dang Ha Vu, Christopher E. Bird, Oanh Thi Truong, Sang Quang Tran, Ellen E. Biesack, Amanda S. Ackiss, Kent E. Carpenter, Binh Truy Dang

Biological Sciences Faculty Publications

The Smallscale Croaker, Boesemania microlepis, is a valuable fishery resource in the Mekong River basin that lacks clear biological data to understand its basic ecology and conservation management priorities. This species is common in the southernmost floodplain of the Mekong which extends from Tonlé Sap in Cambodia to the Mekong Delta in Vietnam. This floodplain is of particular biodiversity conservation concern because of the many upstream dams that restrict water flow in an ecology that relies heavily on a flood-pulse cycle. The literature regarding the biology B. microlepis in this region contains conflicting ideas that populations are both highly …

Virginia Literacy Act Expansion: Implications For Middle Schools, Candace Bechtold, Joan A. Rhodes, Valerie J. Robnolt, David B. Naff, Kendall Hunt, Jan Collins

MERC Publications

This MERC research and policy review focuses on expansion of the Virginia Literacy Act (VLA) to include support for middle school students across the Commonwealth. It explores three questions:

1. What were trends in middle school literacy prior to the VLA expansion?
2. What state policies exist for middle school literacy achievement?
3. What does research say about literacy intervention at the middle school level?

It concludes with a series of key takeaways and recommendations for middle school literacy policy and practice.

Breaking The Boomerang: Judicial Oversight And The Fourth Amendment When The War Comes Home, Benjamin K. Eldredge

Case Western Reserve Law Review

No abstract provided.

Interplay Between Computational Techniques And Quantum Theory: Advancing Quantum Chaos And Quantum Error Correction, Refaat Ismail

Theses and Dissertations--Physics and Astronomy

This dissertation investigates computational techniques addressing critical problems arising within quantum chaos and quantum error correction (QEC). First, we investigate quantum dynamics via the Lanczos algorithm, establishing how its computational features — branching patterns, convergence, and complexity saturation — relate to physical properties like spectral statistics and operator matrix elements. We derive a formula connecting Lanczos coefficients to spectral densities for two-branched Lanczos sequences, revealing how branching patterns encode level repulsion—a hallmark of quantum chaos. Furthermore, we develop an analytic framework predicting Krylov complexity saturation from static system properties alone. Specifically, we decompose the saturation value into a spectral density-dependent …

Laser–Assisted Free–Free (Laff) Electron Scattering: An Elastic Angular Distribution In Argon And The Use Of A Novel Pulsed-Laser Multipass System In Laff Experiments, Charles M. Weaver

Theses and Dissertations--Physics and Astronomy

Laser–assisted free–free experiments investigate the emission or absorption of photons when an electron scatters from an atom in the presence of a laser field.

We measured the relative differential cross sections for 350 eV electrons scattered by an argon target in the presence of 1.17 eV photons from a Nd:YAG laser. The angular distribution for elastically scattered 350 eV electrons was measured over scattering angles from 4◦ to 80◦. This distribution exhibits a pronounced maximum near 47◦ and is symmetric about this angle, as predicted by a Kroll–Watson approximation (KWA) calculation for the experimental kinematics. These measurements directly test a …

Scalable Mental Health Analysis Using Big Data: A Demographic And Geographic Study Of Depressive Symptoms, Saikrishna Katamneni, Anitha Bommana, Naman Pandya, Gokul Kareti, Sangwhan Cha

Harrisburg University Other Works

This project explores the application of Big Data technologies for large-scale mental health analysis, focusing on the prevalence of depressive disorder symptoms across diverse demographic and geographic subgroups. Utilizing Apache Spark on Google Cloud Dataproc, the system efficiently processed millions of survey records stored in Hadoop Distributed File System (HDFS). Through comprehensive data preprocessing, aggregation, and visualization, the analysis revealed critical trends and disparities in mental health outcomes related to age, race, education level, gender, and state. Seasonal variations and subgroup-specific confidence intervals were also examined to identify high-risk populations and areas of measurement uncertainty. The results offer actionable insights …

Preserving The Future: Recognizing Intergenerational Equity In United States Constitutional Jurisprudence In Light Of Evolving Climate Rights Litigation, Molly Morgan

Cardozo Journal of Equal Rights & Social Justice

Climate rights litigation is an essential part of holding states accountable for their climate change obligations. This type of litigation has increased across the globe, and domestic and international courts have issued landmark rulings that serve as precedent for reinforcing state obligations and protecting constitutional and human rights in the process. One focus of these cases is intergenerational equity, which implicates the theory that inadequate state action on climate change violates the rights of future generations. This Article explores the evolution of this theory in domestic and international law, illustrating its increasing importance in climate rights litigation and the necessity …

Equitable Incorporation: How History And Tradition Can Progressively Redefine The Fourteenth Amendment, Robert D'Alessandro

Cardozo Journal of Equal Rights & Social Justice

The Fourteenth Amendment, designed to ensure equality before the law, has been misinterpreted by the Supreme Court through its incorporation doctrine, leading to rulings that harm marginalized communities. The article advocates for "Equitable Incorporation," a doctrine requiring courts to consider the impact of their decisions on historically discriminated groups, ensuring the Amendment's purpose of equity and justice is upheld. This approach would necessitate the incorporation of unincorporated rights and reinterpret existing ones to reflect the Amendment's equitable intent.

Annotated Legal Bibliography

Cardozo Journal of Equal Rights & Social Justice

No abstract provided.

Tap, Swipe, And Connect: Exploring Perceptions Of Inclusivity Through Smartphone Design And Accessibility, Carmen Van Ommen

Doctoral Dissertations and Master's Theses

There has been an increasing importance placed on customization of products and desire for the product to allow the consumer to express themselves or fit into desired social groups with their product choices. Designing products to be inclusive can encompass these desires, as well as ensure that a wide range of user groups can use the products well. In general, there is little research in the field of perceptions of inclusivity with consumer technology products. Previous research has validated a scale to measure Perceptions of Technology Product Inclusivity (PTPI) with different user groups and technology product groups, however no research …

Mini-Maps, Crucial Or Controversial: Assessing The Influence Of Perceived Spatial Orientation And Cognitive Mapping Performance On Video Game User Experience, Angela Le

Doctoral Dissertations and Master's Theses

Decades of game studies, also known as video games research, have revealed frequent video gameplay is positively correlated with enhanced cognition. An area of study that is limited, however, is the relationship between spatial cognition, specifically the domains of spatial orientation and cognitive mapping and their effects on video game user experience for games employing visual navigational aids. Video game user experience is influenced by many factors such as graphics and audio, gameplay mechanics, user interface design, etc. The present study aims to explore whether spatial abilities influence and are significantly correlated with user experience for games using heads-up displays …

The Effect Of Need For Cognition & Need For Affect On Human Reliance And Artificial Intelligence Interactions, Aliyah Mcgowan

Doctoral Dissertations and Master's Theses

Abstract

With the increased use of Artificial Intelligence (AI) automations in fields like medical diagnoses and mental health queries, there are concerns regarding an individual’s trust and reliance on the technology. Reliance on AI output may lead an individual to accept inaccurate or incorrect information without further analysis. Trust may influence reliance and trust formation may be a product of affective processing. This study investigated the relationship between Need for Affect (NFA), Need for Cognition (NFC), and trust and reliance on AI interactions. Participants were assessed on the NFA scale for willingness to approach or avoid emotional stimuli, the NFC …

Prediction Of Cardiac Arrest Using A Hybrid Voting Classifier Combining Random Forest And Support Vector Machine, Ahmed Hamid Elias, Amr Badr, Raad S. Alhumaima

Mesopotamian Journal of Artificial Intelligence in Healthcare

Early and adequate identification of patients at risk of cardiac arrest remains a fundamental challenge in medical environments. Within this piece of work, we design and evaluate a hybrid machine-learning pipeline integrating Random Forest (RF) and Support Vector Machine (SVM) classifiers by soft voting to detect cardiac arrest occurrences from a publicly available dataset of 303 patient records with 13 clinical features. After median imputation and data cleaning, continuous features were normalized and the cohort was divided into 70 % training and 30 % test sets. RF scored 97 % with an AUC of 1.00 on its own, and SVM …

Advanced Machine Learning Models For Accurate Kidney Cancer Classification Using Ct Images, Dhuha Abdalredha Kadhim, Mazin Abed Mohammed

Mesopotamian Journal of Big Data

Kidney cancer, particularly renal cell carcinoma (RCC), poses significant challenges in early and accurate diagnosis due to the complexity of tumor characteristics in computerized tomography (CT) images. Traditional diagnostic approaches often struggle with variability in data and lack the precision required for effective clinical decision-making. This study aims to develop and evaluate machine learning (ML) models for the accurate classification of kidney cancer using CT images, focusing on improving diagnostic precision and addressing potential challenges of overfitting and dataset heterogeneity. Two ML models, Support Vector Machines (SVM) and Multi-Layer Perceptrons (MLP), were employed for classification. Key attribute extraction techniques, including …

Bridging Law And Machine Learning: A Cybersecure Model For Classifying Digital Real Estate Contracts In The Metaverse, Faris Kamil Mihna, Hazim Akram Sallal, Lobna Abdalhusen Al-Seedi, Hasan Ali Al- Tameemi, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel, Dheyaa A. Mohammed

Mesopotamian Journal of Big Data

The metaverse indicates an ever-evolving digital ecosystem where virtual real estate has now become an asset class. These properties, subject to smart contracts on the blockchain and represent as non-fungible tokens (NFTs), gives rise to new legal and cyber issues due to the decentralized and dematerialized nature of these digital assets .This paper proposes a machine learning approach to classify the digital real estate contracts into Ownership and Lease contracts. The study utilizes a dataset of one thousand digital real estate contracts collected from platforms such as Decentraland and The Sandbox. The dataset also included attributes such as plot size, …

Recognition Of Alzheimer’S Disease Stages Via Inceptionv3 And Resnet50, Iman Aljubouri, Mostafa Ragheb, Mohamad Hamady

Mesopotamian Journal of Big Data

Early and precise detection of Alzheimer’s disease (AD) is essential for successful treatment. This research presents a system that autonomously detects and categorizes the phases of Alzheimer’s disease via brain scans and sophisticated deep learning techniques, including InceptionV3 and ResNet50. These models started with pretrained weights and were augmented by including bespoke classification layers, which consisted of dropout, batch normalization, and dense layers to increase performance and mitigate overfitting. The preprocessing processes included scaling the picture to 224 by 224 pixels, using average filtering for denoising, and converting the color space to guarantee compatibility with the models. Evaluations of the …

Concise Comparison Of Cnn Models On A Specified Dataset, Humam K. Yaseen, Saif S. Kareem, Bashar I. Hameed, Salam K. Abdullah

Mesopotamian Journal of Big Data

Recently, interest in Deep Learning (DL), which is a subset of Machine Learning (ML), has emerged. The most famous and used from the DL is the Convolutional Neural Network (CNN). CNN is particularly effective in image processing. There are many duties in image processing that CNN can do, i.e., segmentation, classification, object detection, facial recognition, etc. Image classification is one of the most important applications due to its relevance to various fields, including the healthcare industry and others. One of the challenges researchers face is selecting the appropriate algorithm for the classification task, particularly when dealing with binary or multi-class …

Encrypting Text Messages Via Iris Recognition And Gaze Tracking Technology, Sura Abed Sarab Hussien, Basim Najim Al-Din Abed, Kamaran Adil Ibrahim

Mesopotamian Journal of CyberSecurity

This study explores the integration of eye-tracking technology, specifically the gaze point (GP3) eye tracker, to develop a novel encryption and decryption model that leverages an individual's unique eye patterns as a cryptographic key. This research addresses the critical problem of balancing user-friendly encryption mechanisms with robust security. This study aims to design a gaze-based encryption system that uses the eye's binary matrix as a dynamic encryption key. The methodology involves capturing an eye image, converting it into a binary matrix, and using the extracted matrix to generate a unique iris key (IK) applied to encrypt and decrypt text messages …

Early Entering Research And Writing (Eerw) In College-Level Statistics, Rebecca Fang

2025 Faculty Bibliography

With the high demand for data-driven knowledge, students today need to comprehend skills in problem-solving, critical thinking, communication, and collaboration. However, in traditional statistics lectures, students learn descriptive algorithms, hypothesis, and linear regression at their early stage of college. Unfortunately, they often analyze numbers without considering the context, purpose, audience, and the meaning of the numbers. Therefore, providing students the early opportunity to research and write with data in college will allow them to deepen their understanding of the subjects, to think critically about the data and the results, to communicate effectively with diverse audience, and to prepare for their …

Protection Of Male And Female Sexed Children From Genital Cutting: Making Sense Of Recent Legal Developments, J. Steven Svoboda

Cardozo Journal of Equal Rights & Social Justice

The article critically examines the disparate legal treatment of female genital cutting (FGC) and male genital cutting (MGC), arguing for a more consistent approach that recognizes both practices as violations of bodily integrity. It highlights the ethical and legal inconsistencies in how these practices are viewed and regulated, advocating for a unified legal framework that prioritizes consent and the rights of the individual.

ปัจจัยคัดสรรที่สัมพันธ์กับพฤติกรรมการใช้สารเสพติดของผู้ใช้สารเสพติด หลายชนิดร่วมกันในภาคใต้ของประเทศไทย, เตชินี สิทธิอำนวย

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยครั้งนี้เป็นการวิจัยเชิงบรรยาย มีวัตถุประสงค์เพื่อศึกษา 1) สถานการณ์และรูปแบบการใช้สารเสพติดร่วมของผู้ใช้สารเสพติดที่รับการบำบัดสารเสพติดในโรงพยาบาลรัฐบาลในเขต ภาคใต้ และ 2) เพื่อศึกษาความสัมพันธ์ระหว่างปัจจัยคัดสรร ได้แก่ อายุ เพศ อาชีพ ระดับการศึกษา สถานภาพสมรส อายุที่เริ่มใช้สารเสพติด ระยะเวลาการใช้สารเสพติด การดื่มแอลกอฮอล์ การสูบบุหรี่ ภาวะซึมเศร้า ความวิตกกังวลขณะปัจจุบัน การวิตกกังวลประจำบุคคล การเผชิญความเครียดด้านการมุ่งแก้สาเหตุปัญหา การเผชิญความเครียดด้านการจัดการกับอารมณ์ และสัมพันธภาพในครอบครัว กับพฤติกรรมการใช้สารเสพติดของผู้ใช้สารเสพติดหลายชนิดร่วมกันในภาคใต้ กลุ่มตัวอย่างเพื่อตอบวัตถุประสงค์วิจัยข้อ 1 คือ ผู้ใช้สารเสพติด จำนวน 111 คน และกลุ่มตัวอย่างเพื่อตอบวัตถุประสงค์วิจัยข้อ 2 คือ ผู้ใช้สารเสพติดหลายชนิดร่วมกัน จำนวน 211 คน ทั้งเพศชายและหญิง ที่มีอายุ 20 – 59 ปี ที่ได้รับการคัดเลือกตามเกณฑ์คุณสมบัติที่กำหนดไว้ ซึ่งเข้ารับการบำบัดรักษายาเสพติดแบบผู้ป่วยนอก โรงพยาบาลรัฐบาลในเขตภาคใต้ ได้แก่ โรงพยาบาลธัญญารักษ์สงขลา โรงพยาบาลมหาราช นครศรีธรรมราช โรงพยาบาลสิชล และโรงพยาบาลพระพรหม จังหวัดนครศรีธรรมราช เครื่องมือที่ใช้ในการวิจัยมี 5 ชุด คือ 1) แบบสอบถามข้อมูลส่วนบุคคล 2) แบบสอบถามพฤติกรรมการใช้สารเสพติด 3) แบบประเมินภาวะซึมเศร้า 9Q 4) แบบวัดความวิตกกังวล STAI 5) แบบวัดการเผชิญความเครียต และ 6) แบบสอบถามสัมพันธภาพในครอบครัว สถิติที่ใช้ในการวิเคราะห์ ข้อมูลได้แก่ การแจกแจงความถี่ ร้อยละ ส่วนเบี่ยงเบนมาตรฐาน สถิติไคสแคว์ และค่าสัมประสิทธิ์สหสัมพันธ์เพียร์สันผลการวิจัยพบว่า 1. จากผลการศึกษาสถานการณ์และรูปแบบการใช้สารเสพติดในภาคใต้ พบว่า ผู้ใช้สารเสพติดเพียงชนิดเดียวมีเพียง 23 คน (ร้อยละ 20.7) และผู้ใช้สารเสพติดส่วนใหญ่มีพฤติกรรมการใช้สารเสพติดหลายชนิดร่วมกัน 88 คน (ร้อยละ 79.3) จำแนกเป็นใช้สารเสพติดสองชนิดร่วมกัน 76 คน (ร้อยละ 68.5) และใช้สารเสพติดสามชนิดร่วมกัน …

Popular Originalism, Thomas G. Donnelly

Law Faculty Publications

Scholars are obsessed with the Roberts Court’s recent turn to history and tradition. But another source of authority has also emerged as an important feature of the Roberts Court’s approach to constitutional cases. In previous work, I have referred to this source of authority as popular meaning. While original meaning identifies the best reading of the Constitution’s text at the time of its ratification, popular meaning draws on sources of authority outside the courts to capture the constitutional views of the American people today. In this Article, I demonstrate how interpreters might draw on the Constitution’s popular meaning to help …

A Crust Of Bread: Religious Resistance And The Fourteenth Amendment, Kurt T. Lash, Stephanie Hall Barclay

Law Faculty Publications

In Employment Division v. Smith, the U.S. Supreme Court denied heightened constitutional protection to religiously motivated exercise burdened by neutral and generally applicable laws. The history presented in this Article suggests that the Smith approach conflicts with the original understanding of the Fourteenth Amendment. Out of the crucible of religious abolitionist resistance to the Fugitive Slave Act emerged a substantive theory of constitutional religious freedom: American citizens should have the right to obey the Biblical command to care for the needy and provide the hungry a "crust of bread," even if doing so was contrary to neutral and generally …

Secrets Of The Killing State: The Medical Professional Mandate, Corinna Barrett Lain

Law Faculty Publications

When New Jersey reinstated the death penalty in 1983, the state hadn’t conducted an execution in twenty years, so no one knew how to conduct an execution by lethal injection. Doctors at the state prison refused to participate, citing medical ethics that required them to “support life, not end it,” and that left prison officials thinking that they might have to conduct the executions themselves. “That is not an easy task for an amateur,” a reporter covering the quandary wrote. Unsure of what else do to, officials called upon Fred Leuchter, an engineer who had worked with a number of …