Digital Commons Network^™

Staff Education To Improve Fall Prevention Practices In The Home Health Setting, Chinemelum Okoye

Walden Dissertations and Doctoral Studies

Falls among adults aged 65 and older represent a significant public health concern, as they are the leading cause of injury and hospitalization within this demographic. According to the Centers for Disease Control and Prevention (CDC), nearly one in four older adults experiences a fall annually, leading to over 3 million emergency department visits. In home health settings, the risk of falls is heightened due to uncontrolled environments and insufficient staff training. This quality improvement project assessed the effectiveness of an educational intervention aimed at fall prevention strategies for home health staff, including registered nurses (RNs) and certified nursing assistants …

Improving Large Language Models’ Summarization Accuracy By Adding Highlights To Discharge Notes: Comparative Evaluation, Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P. Deek, Zhe He, Vipina K. Keloth, Hao Liu, Gai Elhanan, Andrew J. Einstein

School of Computing Faculty Scholarship and Creative Works

Background: The American Medical Association recommends that electronic health record (EHR) notes, often dense and written in nuanced language, be made readable for patients and laypeople, a practice we refer to as the simplification of discharge notes. Our approach to achieving the simplification of discharge notes involves a process of incremental simplification steps to achieve the ideal note. In this paper, we present the first step of this process. Large language models (LLMs) have demonstrated considerable success in text summarization. Such LLM summaries represent the content of EHR notes in an easier-to-read language. However, LLM summaries can also introduce inaccuracies. …

A. G.-G. V. Attorney General United States Of America

2025 Decisions

Agency

Thomas Gage V. Borough Of New Providence

2025 Decisions

USDC for the District of New Jersey

Usa V. Safehouse

2025 Decisions

USDC for the Eastern District of Pennsylvania

Multi-Scale Color Correction And Contrast Enhancement Via Leaf In Wind Optimization For Improved Weld Defect Detection In Non- Destructive Testing, Senthil Anand N Mr

Theses and Dissertations

Image enhancement is an essential process in numerous fields, including industrial inspection, medical imaging, remote sensing, and photography, as it improves image quality for accurate analysis and interpretation. Among the advanced image enhancement techniques, Focused Super Resolution (FSR) with Self-Attention Single Candidate Optimizer-based Generative Adversarial Networks (GANs) is specifically designed for weld defect detection, while Advanced Image Enhancement through Multi-scale Color Correction and Contrast Stretching using Leaf in Wind Optimization focuses on enhancing the overall visual quality of images. Although both approaches aim to improve image quality, they differ significantly in their objectives and application areas. The FSR method concentrates …

Coli@Fire2024: Findings Of Word-Level Code-Mixed Language Identification In Dravidian Languages, Asha Hegde, Fazlourrahman Balouchzahi, Sabur Butt, Sharal Coelho, Kavya G, Harshitha S. Kumar, Sonith D, Shashirekha H. L., Ameeta Agrawal

Computer Science Faculty Publications and Presentations

Code-mixing, a linguistic phenomenon where multiple languages are blended within a single text, has become increasingly prevalent in multilingual societies, particularly in digital communication. The CoLI-Dravidian shared task, organized as part of Forum for Information Retrieval and Evaluation (FIRE) 2024, aimed to address these challenges by inviting researchers to develop models capable of classifying words in code-mixed texts involving Dravidian languages — Tamil, Kannada, Malayalam, and Tulu - interwoven with English. The task presents significant challenges due to the complexity of linguistic structures, mixed-language tokens, and dialectal variations, especially in low-resource languages like those in the Dravidian family. The participating …

Scarna1 Expression Levels Affect Alternative Splicing Of Mrna., Madeleine Brown, Brittnei Earl, Michael Filla, Nataliya Kibiryeva, James E. O'Brien, Douglas C. Bittel

Manuscripts, Articles, Book Chapters and Other Papers

Our previous research identified 12 small Cajal body-specific RNAs (scaRNAs) with reduced expression in the right ventricle in infant patients with tetralogy of Fallot. Likewise, we showed that there were significant changes in mRNA processing in the RV in these patients. ScaRNAs play a crucial role in the biochemical maturation of spliceosomal RNAs (pseudouridylation and 2'-O-methylation). We showed that variations in scaRNA1 levels resulted in changes in alternative splicing in human cells. To investigate further the role that scaRNAs play in mRNA processing, we examine here the impact of knocking down scaRNA1 in quail myoblast cells (Coturnix japonica, …

Efficient Small Tool Detection In Construction Via Lightweight Deep Neural Networks, Maryam Soleymani

LSU Master's Theses

Construction sites are dynamic and inherently hazardous environments, where small hand tools—although essential—pose serious safety risks due to their frequent use, portability, and tendency to be misplaced or dropped. This study introduces a novel and lightweight deep learning-based architecture, Lightweight Small Tool Detection (LSTD), specifically designed for fast detection of small tools in unstructured and challenging construction environments. Recognizing that small object detection remains a persistent limitation in existing computer vision models, particularly under poor lighting or cluttered backgrounds, LSTD integrates advanced modules for enhanced feature extraction, fusion, and classification. It achieves notable improvements in accuracy, recall, and computational efficiency …

Responding To Police Perjury, David R. Katner

Cleveland State Law Review

The way in which defense lawyers phrase their challenges in criminal proceedings where police witnesses are thought to have committed perjury might place decisionmakers in the awkward position of unintentionally or intentionally coming to the aid of the witnesses who are unable to defend themselves during closing arguments. This article proposes a shift in the paradigm of how defense counsel characterize and handle testimony that seems untruthful, without having to engage in tactics that intend to be disrespectful to all police officers, let alone to the witnesses in the trial. Creating a continuum from absolute truthfulness to absolute untruthfulness and …

Making Criminal Penalties Collar-Blind On The Federal Level, Claire Osborn-Wright

Cleveland State Law Review

This paper is intended to be the first in a series of papers that addresses whether lower income individuals suffer all of the following at much higher rates than their percentage of the population would suggest should be the case: (1) police stops for questioning; (2) arrests; (3) prosecutions; (4) convictions; and (5) lengthy post-conviction incarcerations. In particular, this first paper addresses the question of whether prison sentences imposed for “blue-collar crimes” are significantly longer than prison sentences imposed for “white-collar crimes.” In general, “blue-collar crimes” refer to crimes that are committed by individuals who possess blue-collar professions and “white-collar …

Stead: Spatio-Temporal Efficient Anomaly Detection For Time And Compute Sensitive Applications, Andrew Gao

Master's Theses

This paper presents a new method for anomaly detection in automated systems with time and compute sensitive requirements, with unparalleled efficiency. As these systems become increasingly popular, ensuring their safety has become more important than ever. Therefore, this paper focuses on how to quickly and effectively detect various anomalies in the aforementioned systems, with the goal of making them safer and more effective. Many detection systems have been developed with great success under spatial contexts; however, there is still significant room for improvement when it comes to temporal context. While there is substantial work regarding this task, there is minimal …

One Nation Under Guard, Everett T. Glynn

Master's Theses

The rise of segments of the labor force devoted to functions other than production has received increased scholarly attention, particularly pertaining to the robust deployment of the police and criminal justice apparat in the neoliberal era. Critical perspectives align the rise of the securitization of society with political and economic transitions that occur within the contexts of changes to social inequality and crackdowns on social movements beginning in the 1970s. In a theoretical construction of the emerging concept of guard labor, this thesis finds that robust societal deployments of a form of functional labor used to entrench social inequality has …

The Relationship Between Psychological Contract Breach And Work Motivation And Attitude Among Tech Employees: The Moderating Role Of Conscientiousness, Rama E. Khoury

Master's Theses

There has been some research on moderating factors of the relationship between psychological contract breach (PCB) and work engagement and affective commitment. However, most studies conducted have mainly focused on situational factors (e.g., job satisfaction, exchange imbalance), not on individual factors (e.g., personality traits). This research gap leaves a question in the role that personality traits play in influencing the negative consequences of PCB. The purpose of this study was to examine the moderating role of conscientiousness on the relationship between PCB and two outcomes, work engagement and affective commitment. Hypotheses were tested using 103 technology industry employees in the …

Interactions Between A High Intensity Wildfire And An Atmopsheric Hydraulic Jump In The Case Of The 2023 Lahaina Fire, Clifford Dw Ehrke

Master's Theses

On 8 August 2023, a grass fire that started in the city of Lahaina, Hawai’i, grew into the deadliest wildfire in the United States since 1918. This wildfire offers a unique opportunity to explore the impact of high heat output on an atmospheric hydraulic jump and a downslope wind event. We conducted two WRF-SFIRE simulations to investigate these effects: one incorporating fire–atmosphere feedback and the other without it. We compare these WRF-SFIRE simulations to all available data regarding the fire event, including high resolution satellite data, weather station data from other parts of Maui and the Hawaiian Archipelago, and official …

Generalizability Of Existing Ai Models For Automatic Disfluency Detection In Children's Speech, Caryn W. C. Iwakiri

Master's Theses

Achieving consensus in identifying disfluencies and diagnosing developmental stuttering has been a significant challenge for many clinicians, particularly in young bilingual children, who tend to show increased disfluencies. Artificial intelligence (AI) has the potential to recognize more complex yet systematic patterns that might not be easily observable by even trained clinicians. It also has the potential to bring consistency in the measurement of stuttered speech. This study compares the performance of four AI models, their performance on detecting disfluencies including both stutter-like-disfluencies (SLD) and typical disfluencies (TD) in monolingual and bilingual children's data, then explores whether increasing the quantity of …

Visions Of Kleinian Groups, Genevieve Nguyen

Master's Theses

Discrete groups of M¨obius transformations, called Kleinian groups, act on the Riemann sphere. We explore the connection between M¨obius transformations and PSL(2,C), its subgroups, and linear algebraic properties to understand the dynamics of various Kleinian groups, including Fuchsian groups and Schottky groups. In particular, we use Mathematica to program visualizations of Schottky groups and their limit sets.

Quantum Algorithm Emulation Using Fpgas, Samuel Petruescu

Master's Theses

Field Programmable Gate Arrays (FPGAs) have been used in most of the physics sub-fields for various unique purposes. This includes particle physics, quantum optics, and, more recently, quantum computing. FPGAs boast many benefits over previous experimental and computational setups. They are versatile, easy to program, and cost-effective, leading to an understandable desire to incorporate them into the new field of quantum computing. While FPGAs have been used to help control the readout and control of physical qubits, they can also be a good tool for improving algorithm simulations, which is the focus of this paper. Different algorithms have different computational …

Superconducting Quantum Chip Design And Simulation, James F. Saslow

Master's Theses

This work presents a comprehensive analytical and simulation-based study of superconducting quantum chip architectures, spanning both 2D planar and 3D-integrated designs. We first design and simulate a planar quantum chip layout using Qiskit Metal, which is imported into Ansys HFSS (High Frequency Structure Simulator) to construct a 3D model and perform electromagnetic simulations. A detailed analysis using Driven Modal, Eigenmode, Magnetostatic, and Q3D Capacitance Extraction solvers ensures our simulations accurately reflect physical behavior. The results are validated against analytical models from microwave engineering. pyEPR (Python Energy Participation Ratio) is used to extract key quantum metrics, including eigenfrequencies, quality factors, decoherence …

Union Employees’ Perceptions And Lived Experiences Of Organizational Culture And Job Satisfaction In Michigan Manufacturing Organizations, Angela Wantuck

Walden Dissertations and Doctoral Studies

Manufacturing organizational cultures steeped in tradition, corporate loyalty, and paternalistic values have experienced a decrease in union employee engagement and organizational satisfaction. Manufacturing leaders are concerned with this decrease as a primary indicator of employee walkouts or union strikes, impeding the manufacturing process, and affecting market share, profitability, and local economies. The purpose of this qualitative hermeneutic phenomenology study was to explore the union employees’ perceptions and lived experiences of organizational culture and job satisfaction in Michigan manufacturing organizations. Shaped by Schein’s organizational culture theory, the research question queried the perceptions of the union-represented employees as a subculture in the …

Quantifying The Economic Burden Of Cancer In California Using Advanced Analytics, Terence Casey Kelley

Walden Dissertations and Doctoral Studies

Cancer imposes a significant and multifaceted economic burden on California’s health care system and communities. Despite extensive national data, California-specific cost analyses have been outdated and limited. This study quantified California’s cancer-care burden through a quantitative, cross-sectional design grounded in the cost-of-illness framework and human-capital theory. A retrospective modeling approach used 2015–2023 data from the California Cancer Registry, National Cancer Institute, National Program of Cancer Registries, and California’s all-payer claims database. California’s economic burden from cancer was estimated using a meta-analysis of national cost data, which was then applied to state-specific cancer incidence, prevalence, and mortality through a multicriteria decision …

Evaluation Of Physical, Mental, And Mechanical Aspects Of An Extreme Military Training Event: A Continuous Monitoring Approach, Tirthankar Chatterjee, Debojyoti Bhattacharyya, Roshani Meena

Journal of Human Performance in Extreme Environments

Soldiers receive extensive training at extremes of environments and simulated terrains to improve their battle efficiency. A study was designed to evaluate the actual cost of a military physical efficiency test consisting of several physically engaging activities to quantify physiological, mechanical, and subjective demands. Sixteen Indian soldiers participated in a military training session consisting of events such as a 5-km run, 4-m vertical rope climbing, a 2.75-m jump, a 60-m dash, and a 9-m horizontal rope climbing with 6.5 kg of equipment in a hot dry environment. Their physiological status was monitored continuously. National Aeronautics and Space Administration Task Load …

"Are You My Counselor?" A Call To Action How Latinx General Counselors Can Support Latinx Student Retention Rates At California Community College Hispanic-Serving Institutions, Valentín García Cabrera

Dissertations

Latinx students comprise the largest population within the California Community College (CCC) system, but experience disproportionately lower retention rates. This dissertation used a phenomenological qualitative design and testimonios collected from Latinx general counselors to explore factors influencing Latinx student retention. Sixteen tenured Latinx general counselors from ten Northern California Hispanic-serving community colleges served as participants. Guided by two research questions, the study explored counselors’ perspectives on the factors influencing Latinx community college students’ retention and the counseling strategies, services, and resources that General Counseling Departments should provide to support Latinx student retention. Grounded in Latinx Critical Race Theory, the study …

Biochemical And Proteomic Analyses Explain The Role Of Thiourea In Improving Tolerance Against Cadmium Toxicity In Maize, Mustafa Yildiz, Hakan Terzi̇, Nurgül Sönmez

Turkish Journal of Botany

Thiourea (TU), a sulfur-containing compound, is recognized for its ability to ameliorate the deleterious impacts of metal ions on plant growth. Nonetheless, the molecular mechanisms by which TU regulates metabolic activities in maize (Zea mays L.) under cadmium (Cd) stress remain largely unexplored. This study seeks to clarify how TU (35 μM) mitigates or enhances tolerance to Cd toxicity (50 μM) through physiological and proteomic methods. Cd exposure resulted in inhibited plant growth, leaf chlorosis, and lipid peroxidation; however, the addition of TU reduced Cd toxicity by decreasing Cd accumulation and modulating antioxidant enzyme activity. The global proteome profile was …

Contracts, Communication, And Contextual Integrity: A Case Study About Student Data Use In Higher Education, Joseph Fessehaye

Dissertations

This case study examines the contractual agreements between the University of Missouri System and the California State University System with the Educational Advisory Board (EAB), focusing on how these contracts align with institutional student data privacy policies. The research utilizes a Policy Document Analysis approach and explores both universities’ strategic plans, student data privacy guidelines, and the third-party agreements with EAB, using a Contextual Integrity framework to analyze how student data is managed and protected. Through the analysis of these documents, this dissertation investigates whether the flow of student data within the context of these contracts meets institutional privacy standards …

Early Care And Education Systems In The United States Of America: Voices Of The Past, Present, And Future, Timothy Harper

Dissertations

This mixed-methods study centers the voices, knowledge, and leadership of Black and Indigenous women working in Early Care and Education (ECE) while tracing how racism, sexism, and classism have shaped the field from colonization to the present day. Twenty in-depth interviews with sixteen Black and Indigenous educators across the United States are paired with secondary analyses of national workforce data to create a multilayered portrait of their professional realities. Grounded in Black feminist thought and Indigenous desire-based inquiry, the analysis surfaces six inter-locking themes: (a) enduring structural barriers that depress wages and limit advancement, (b) the day-to-day resilience that sustains …

Exploring Program Participant And Staff Perspectives On Correctional Education Programs, My Ngoc Nguyen

Dissertations

In this paper, I explored program participant and staff perspectives on correctional education programs. Prior research measured success of correctional education through recidivism, post-employment opportunities, and post-secondary education. However, few research examined the perspectives of staff, program participants, and alumni of such programs to understand factors that aid in important educational experiences within correctional education programs. In this study, I utilized a mixed-methods approach, where I collected close-ended and open-ended survey responses from 10 staff and 5 program participants on their ratings of program principles and characteristics as well as optional follow-up interviews to elaborate on their survey responses. The …

Minimal Ablative Margin Quantification Using Hepatic Arterial Versus Portal Venous Phase Ct For Colorectal Metastases Segmentation: A Dual-Center, Retrospective Analysis, Noreen S Siddiqi, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Gregor Laimer, Peter Schullian, Yannick Scharll, Alexandra M Dunker, Caleb S O'Connor, Kyle A Jones, Kristy K Brock, Reto Bale, Bruno C Odisio, Iwan Paolucci

Faculty, Staff and Student Publications

Objective: To compare the predictive value of minimal ablative margin (MAM) quantification using tumor segmentation on intraprocedural contrast-enhanced hepatic arterial (HAP) versus portal venous phase (PVP) CT on local outcomes following percutaneous thermal ablation of colorectal liver metastases (CRLM).

Methods: This dual-center retrospective study included patients undergoing thermal ablation of CRLM with intraprocedural preablation and postablation contrast-enhanced CT imaging between 2009 and 2021. Tumors were segmented in both HAP and PVP CT phases using an artificial intelligence-based auto-segmentation model and reviewed by a trained radiologist. The MAM was quantified using a biomechanical deformable image registration process. The area under the …

2025 Deerfield Fair 4-H Animal Shows Premium Book, Extension

UNH Cooperative Extension

No abstract provided.

Machine-Learning Driven Strategies For Adapting Immunotherapy In Metastatic Nsclc, Maliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky, Shenduo Li, Milena Petranovic, Carol C Wu, Brett W Carter, Girish S Shroff, Tina Cascone, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Simon Heeke, Ajay Sheshadri, Joe Y Chang, Percy P Lee, Zhongxing Liao, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Ignacio I Wistuba, Cara Haymaker, Seyedali Mirjalili, David Jaffray, Justin F Gainor, Yanyan Lou, Alessandro Di Federico, Federica Pecci, Mark Awad, Biagio Ricciuti, John V Heymach, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remains limited, and single-feature biomarkers like PD-L1 prove inadequate. We develop a machine learning model using clinicogenomic data from four cohorts (MD Anderson n = 750; Mayo Clinic n = 80; Dana-Farber n = 1077; Stand Up To Cancer n = 393) to predict individual benefit from adding chemotherapy. Benefit scores are calculated using five distinct functions derived from 28 genomic and 6 clinical features. Our integrated model, A-STEP (Attention-based …