Digital Commons Network^™

Unlocking Citizen Confidence: Examining Trust And Continuance Intentions In Digital Services, Muhammad Ovais Ahmad, Iftikhar Ahmed, Osama Al-Baik, Abdelrahman Hamza Hussein, Mwaffaq Ahmad Abu Alhaija, Abdullah Albizri

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Purpose – This study aims to examine the factors that influence citizens intention to continue using e-government services in Pakistan. Design/methodology/approach – Data were collected through an online survey of 641 Pakistani citizens. The responses were analyzed using partial least squares structural equation modeling. Findings – This study shows that disposition to trust positively correlates with both trust in the internet and trust in government. Notably, citizens’ satisfaction, perceived usefulness, confirmation of expectations and perceived risk significantly influence their intention to continue using e-government services. Trust in the internet emerged as a significant predictor of continuance intention, while trust in …

The Section 32(1) Analysis: Clarifying Eldridge In Light Of York Region District School Board, Kate Glover Berger

All Papers

The Eldridge framework, a stable feature of Canadian Charter jurisprudence for decades, sets out part of the framework for determining when entities or activities qualify as “government” under section 32(1), the Charter’s application section. In light of this stability, the Supreme Court of Canada’s analysis of the section 32(1) issue in York Region District School Board v Elementary Teachers Federation of Ontario was surprising. It raised the question: Why did the Court in York Region deviate from well-settled law on the Eldridge framework and, in the process, seemingly change the framework’s thresholds? This question arises because the Court in …

The Mediated Message Model: Understanding Faculty Genai Adoption Decision-Making And Guiding Optimal Faculty Development, Jennifer R. Banas, Sandra Beyda-Lorie

Health Sciences and Physical Education Faculty Publications

This study highlights that understanding how faculty adopt technology requires integrated theoretical frameworks rather than the single-theory models often seen in current research. Faculty responses to disruptive technologies, such as generative AI (GenAI), involve complex psychological processes that are frequently overlooked by traditional models. To address this, we developed the Mediated Message Model (MMM) by combining communication theory, behavioral prediction, and motivational psychology, targeting four gaps: fragmented focus, lack of contextual sensitivity, limited process understanding, and constraints. We utilized this framework to design and evaluate a faculty development program featuring a book club format, involving fifty-six faculty members across two …

Beyond Personal Responsibility: Government Support For The Substantive Human Condition, Martha T. Mccluskey

Contributions to Books

Government protection against systemic harm to human well-being is stymied by the liberal idea that power is most legitimately wielded by autonomous individuals taking personal responsibility for their substantive well-being. Instead, a robust vision of democracy and socioeconomic justice requires grounding legitimate power in institutional responsibility, replacing the formal individual actor of liberal theory with the universally embodied, embedded human subject developed in Martha Fineman’s Vulnerability Theory. This chapter connects the message of personal responsibility in neoliberal US welfare reform policies to rationales defending the government’s failure to alleviate systemic human harm in the 2008 financial crisis and the accelerating …

Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson

Michigan Tech Publications

Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …

Study Of Serum Interleukin-33 And Soluble St2 Levels, And Hla-B27 Typing In Iraqi Patients Of Ankylosing Spondylitis, Faris Ali Khdur, Hanaa N. Abdullah, Mayada Noori Iqbal

Baghdad Science Journal

Ankylosing spondylitis (AS) is a type of arthritis that causes inflammation in the joints and ligaments of the spine. The current study aimed to determine the level of serum interleukin-33 (IL-33), soluble stromelysin-2 (sST2) interleukin, and HLA-B27 typing among Iraqi AS patients. The whole blood samples of the patients were collected from medical hospitals in Baghdad city. The ELISA technique was used to measure the serum levels of IL-33 and sST2, and the HLA-B27 typing was performed by sequence-specific primer PCR (SSP-PCR). The patients were divided into patients newly diagnosed with the disease and patients receiving biological treatment (etanercept) in …

Exponential Domination Of Some Chemical Structures In Reduced (A, B)-Ka Indices, Anjaneyulu Mekala, U Vijaya Chandra Kumar, R. Murali

Baghdad Science Journal

Mathematical modeling with the help of numerical coding of graphs has been used in different fields of science, especially in chemistry for the studies of molecular structures. A special type of graph invariant called the topological index is the collection of data on algebraic graphs and provides a mathematical way to understand chemical structural features. In chemical graph theory, the topological index is a type of molecular descriptor calculated based on the graph of chemical compounds. Topological indices help us collect information about algebraic graphs and give us a mathematical approach to understand the properties of algebraic structures. With the …

Improving Staff Knowledge On Hourly Rounding Using The 4ps To Reduce The Fall Rate, Chukwuemeka Igboanugo

Walden Dissertations and Doctoral Studies

I designed this Doctor of Nursing Practice (DNP) project to develop an educational program that increases staff knowledge of hourly rounding using an evidence-based approach, specifically pain, position, potty, and possession (the 4Ps), to prevent falls among residents in a long-term care facility. According to facility leadership, the observed gap in practice was the nursing staff members’ lack of knowledge in performing hourly rounding. The facility’s fall records for the lockdown units indicated a surge in fall rate, with 32 falls among 62 residents per month, reflecting a need for action. The practice-focused question guiding the project was: For staff …

Occupational Health Equity: A Call To Consider Social-Structural Factors In Injury Prevention Research, Shannon Guillot-Wright, Elizabeth S Mcclure, Marizen R Ramirez, Alexis Grimes Trotter, David B Richardson

Faculty, Staff and Student Publications

Occupational health equity scholarship has been growing over the past decade, including social-structural determinants of health research that centres the voices and experiences of historically marginalised communities. In our commentary, we focus on the intersection of work-related and non-work-related factors and how they impact the health of workers, their families and their communities through community-engaged research. Case studies include the implementation of mobile clinics that are developed alongside communities, community organising to examine and reduce health disparities among racially segregated workers, the development of research instruments and measures to study racism and discrimination, and a focus on how the distribution …

The Relationship Between Adverse Childhood Experiences And Disproportionate Minority Contact On Minority Youth Within Juvenile Justice In Texas, Atica Helms Thomas

Walden Dissertations and Doctoral Studies

Disproportionate minority contact (DMC) remains a significant concern within the juvenile justice system, yet its connection to adverse childhood experiences (ACEs) among minority youth is underexamined. Nationally, minority youth, particularly Black youth, are disproportionately represented compared to their White peers, prompting efforts to understand and address racial and ethnic disparities in system involvement. The purpose of this study was to explore the relationship between DMC and ACEs within the Texas Juvenile Justice Department (TJJD). Guided by general strain theory (GST), whether traumatic life experiences contribute to the disproportionate representation of minority youth was examined. The central research question was designed …

Active Learning And Nclex-Rn Pass Rate On First Attempt In Bsn And Adn Programs, Janette Tingson

Walden Dissertations and Doctoral Studies

Failing the NCLEX-RN on the first attempt affects not only the students and their families but also nursing programs. To increase NCLEX-RN pass rates, nursing programs are shifting from traditional teaching to active learning in their aim to produce nursing graduates who will pass the NCLEX-RN exams on the first attempt. The purpose of this descriptive, correlational study, guided by theory of constructivism, was to determine if there is a relationship between faculty’s use of active learning strategies (ALS) and nursing students’ NCLEX-RN pass rates on the first attempt in bachelor of science in nursing (BSN) and associate degree in …

Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen

Graduate Student Scholarship

Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …

Towards Efficient And Privacy Preserving Ecg Classification: Federated Transfer Learning Enhanced By Ckks-Based Homomorphic Encryption, Anmar A. Al-Janabi, Sufyan Al-Janabi, Belal Al-Khateeb

Baghdad Science Journal

In healthcare, maintaining both the accuracy and privacy of medical diagnoses collaboratively is a significant challenge. To the best of our knowledge, this research proposes the first end-to-end Privacy-Preserving Federated Transfer Learning (PPFTL) framework for 2-D ECG arrhythmia classification. Incorporating Transfer Learning (TL) narrows the gap between the encrypted and non-encrypted framework versions in the training step. It involves the transformation of raw Electrocardiogram (ECG) signals into 2-D ECG grayscale images. The dataset is disseminated after transformation to images and then fed as input into the local models, where MobileNetV2 serves as a feature extractor. The training process for each …

Av-Efficapsnet Based Deep Neural Network Model For Automated Detection Of Hypertensive Retinopathy In Fundus Image, Sowmiya R, Kalpana R

Baghdad Science Journal

Hypertensive Retinopathy (HR), a serious consequence of systemic hypertension, manifests through specific changes in the retinal vasculature observable in fundus images. There might not be any symptoms or complaints at the early stage of systemic hypertension. The complication of the systemic hypertension sets in vital organs of the body including the eyes over time. An automated method for HR detection can help in early detection and enhance diagnosis and management and thus reduce the risk of severe ocular and systemic complications. Subjective evaluation of the retinal images by ophthalmologist is the conventional diagnostic method, which might be inconsistent and time …

Evaluating Climate Sensitivity To Atmospheric Co2 In Basra, Baghdad And Mosul: Iraq, Dalia A. Mahmood, Luma M. Al-Saadi, Monim H. Al-Jiboori

Baghdad Science Journal

Iraq has been suffering from a rising surface air temperature (SAT), causing a general deterioration in ecosystems. Climate sensitivity (CS) which refers to the increase in average SAT caused by a duplication of Carbon Dioxide Concentration [CO₂], was estimated by transient local climate response (TLCR) and equilibrium local CS (ELCS). The time series of the spatial annual averages for both [CO₂] and air temperature were analyzed and a linear regression model was also used to find annual trends in SAT and [CO₂]. Based on historical yearly data for CO₂ concentrations (2003–2016), CO_{2 …}

Laplacian Energy And Eccentricity Based Energy For Cross Monic Zero Divisor Graph Associated With Commutative Rings, Sarathy Raja, Ravi Sankar Jeyaraj

Baghdad Science Journal

For a commutative ring, a cross monic zero divisor graph is discussed, whose vertices are nonzero zero divisors of the commutative ring, then the two vertices x and y are adjacent if and only if xy = 0. Sum of absolute auxiliary eigenvalues of Laplacian matrix of a simple graph is known as Laplacian energy of a simple graph. Eccentricity sum matrix of a graph is a positive matrix, whose entries are sum of the eccentricities of two vertices and 0 for diagonals of the eccentricity sum matrix. Then the sum of absolute eigenvalues of eccentricity sum matrix is known …

Proactive Siem-Based Framework For Cyberattack Monitoring And Classification, Zeyad Safaa Younus, Mafaz Alanezi

Baghdad Science Journal

Cybersecurity is a crucial aspect of modern information technology, encompassing safeguarding computer systems, network resources, and information from cyberattacks. Wazuh is an open-source security information and event management (SIEM) technology for real-time attack detection but faces challenges like log analysis complexity and alert overloading, which raises the number of false-positive alerts and affects accuracy. This paper presents three hierarchical models for real-time attack prediction using Wazuh to gather real-time dataset from various network endpoints and then preprocess them using a variety of tools. Subsequently, mutual-information, principal component analysis (PCA), and independent component analysis (ICA) are utilized for feature reduction and …

A Heart Disease Prediction Model Applying Deep Learning And Combined Fuzzy-Mutual Information Based Feature Selection, Annwesha Banerjee Majumder, Somsubhra Gupta, Sourav Majumder, Dharmpal Singh, Sumit Das, Tanusree Saha

Baghdad Science Journal

Despite remarkable advancements in medical technology, cardiovascular disease persists as a significant contributor to global mortality. This research addresses the imperative need for timely disease identification through the proposition of a heart disease prediction model, utilizing a merged 1D Convolutional Neural Network (CNN). The main aim of the research is to mitigate the inherent drawbacks of single-layer designs, with a particular emphasis on enhancing hierarchical feature extraction, broadening the model’s receptive fields, and facilitating more efficient non-linear transformations. The dataset has been collected from UCI data repository. The study methodology includes a new feature selection strategy that combines Mutual Information …

Forecasting And Predictive Model Building For Heart Failure Data Using Machine Learning Techniques, K Sukanya, Khadar Babu Sk

Baghdad Science Journal

Heart failure is a critical medical condition with significant global morbidity and mortality rates. Early prediction of Heart Failure risk is paramount for timely intervention and improving patient outcomes. Leveraging the power of machine learning, this study conducts an in-depth examination of Heart Failure prediction using a comprehensive dataset. The dataset encompasses clinical, demographic and laboratory data of Heart Failure patients. A variety of machine learning techniques like logistic regression, decision tree and random forest are harnessed to construct predictive models for Heart Failure. The analysis integrates essential data preprocessing techniques like missing value imputation, feature scaling and feature selection …

Optimizing Webrtc Video Conferencing Platform Assisted By Sdn Approach, Sanabil A. Mahmood, Naktal Moaid Edan, Monjikheralla Monjikheralla

Baghdad Science Journal

To support the best path among several paths, the network must choose the path with the best path to support Quality of Service (QoS), especially for real-time interactive video applications, such as distance learning and video conferencing. As long as the chosen routing protocol path is fixed by network topologies such as integrated services (ISs), which may not provide the highest possible performance. In addition, software-defined networking (SDN) intelligence with web-based real-time communications (WebRTC) can determine the most efficient data packet routing, which reduces latency and improves real-time communications. The main objective of this paper is to build and implement …

Draft Final Butte Mine Waste Repository Geotechnical Investigation Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Rna/Dna-Binding Protein Tdp43 Regulates Dna Mismatch Repair Genes With Implications For Genome Stability, Vincent E Provasek, Albino Bacolla, Suganya Rangaswamy, Manohar Kodavati, Joy Mitra, Issa O Yusuf, Vikas H Malojirao, Velmarini Vasquez, Gavin W Britz, Guo-Min Li, Zuoshang Xu, Sankar Mitra, Ralph M Garruto, John A Tainer, Muralidhar L Hegde

Faculty, Staff and Student Publications

TDP43 is an RNA/DNA-binding protein increasingly recognized for its role in neurodegenerative conditions, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). As characterized by its aberrant nuclear export and cytoplasmic aggregation, TDP43 proteinopathy is a hallmark feature in over 95% of ALS/FTD cases, leading to detrimental cytosolic aggregates and a reduction in nuclear functionality in neurons. Building on our prior work linking TDP43 proteinopathy to the accumulation of DNA double-strand breaks (DSBs) in neurons, the present investigation uncovers a novel regulatory relationship between TDP43 and DNA mismatch repair (MMR) gene expression. Here, we show that TDP43 depletion or overexpression …

Book Review: Untaxed: The Rich, The Irs,And A New Approach To Tax Compliance, Leslie Book

Faculty Publications

No abstract provided.

Sars-Cov-2 Nsp13 Interacts With Tead To Suppress Hippo-Yap Signaling, Fansen Meng, Jong Hwan Kim, Chang-Ru Tsai, Jeffrey D Steimle, Jun Wang, Yufeng Shi, Rich G Li, Bing Xie, Vaibhav Deshmukh, Shijie Liu, Xiao Li, James F Martin

Faculty, Staff and Students Publications

The Hippo pathway controls organ development, homeostasis, and regeneration primarily by modulating YAP/TEAD-mediated gene expression. Although emerging studies report Hippo-YAP dysfunction after viral infection, it is largely unknown in the context of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we analyzed RNA sequencing data from human-induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) and SARS-CoV-2-infected human lung samples, and observed a decrease in YAP target gene expression. In screening SARS-CoV-2 nonstructural proteins, we found that nonstructural protein 13 (NSP13), a conserved coronavirus helicase, inhibits YAP transcriptional activity independent of the upstream Hippo kinases LATS1/2. Consistently, introducing NSP13 into mouse cardiomyocytes suppresses …

Dietary Methionine Restriction Primes T Cell Metabolism For Activation And Tumor Inhibition And Enhances The Efficacy Of Immune Checkpoint Blockade, Xiaoqing Qing, Binita Chakraborty, Panpan Liu, Sandeep Artham, Patrick K Juras, Dongyin Guan, Kristen E Pauken, Ching-Yi Chang, Xia Gao

Faculty, Staff and Students Publications

The proliferation of many cancer cells is methionine dependent and dietary methionine restriction (MR) has shown anti-tumor effects in a wide variety of immunodeficiency preclinical models. Yet, whether MR exerts an anti-tumor effect in the presence of an immune-competent background remains inconclusive. Accumulating evidence has shown an essential role of methionine in immune cell differentiation and function. Thus, competition for methionine between tumor cells and immune cells in the tumor microenvironment may drive tumor growth and tumor response to therapy. Here, we aim to define the impact of MR on tumor growth and associated immunity. We first assessed the effect …

Gata2 Mutation Is Associated With Immune Dysfunction And Increased Mycobacterium Haemophilum Susceptibility In Immunocompromised Individuals, Ananya Gupta, Shail B. Mehta, Abhimanyu, Bruce A. Rosa, John Martin, Mushtaq Ahmed, Shyamala Thirunavukkarasu, Farheen Fatma, Gaya K. Amarasinghe, Makedonka Mitreva, Thomas C. Bailey, David B. Clifford, Shabaana A. Khader

2020-Current year OA Pubs

Infections with nontuberculous mycobacterium (NTM) are on the rise. Here, we investigated an uncommon NTM infection, by M. haemophilum (Mh, n = 4), from a shared geographic location in the United States. All patients had underlying immunosuppressive conditions or treatments. We identified that all these individuals had a nonsynonymous mutation in GATA2 gene, which was absent in healthy controls (HCs, n = 4) from the same geographic area (Missouri, USA). Whole blood from these individuals had attenuated cytokine responses to Mh stimulation for IL-1β, IL-6, IL-8, MIP-1α and MIP-1β, but not to phytohemagglutinin (PHA) or another NTM, M. abscessus. Impaired …

Knowledge About Intellectual Property Rights Among Faculty: A Cross-Sectional Survey, Smriti Arora

International Nursing Research Congress (INRC)

Background: Any original work of human mind, whether it be artistic, literary, technological, or scientific, is considered intellectual property (IP). The legal rights granted to an inventor or creator to safeguard his creation for a specific amount of time are known as intellectual property rights, or IPR. For a specific amount of time, these legal rights grant the inventor or his assignee the sole right to make full use of his creation. In the healthcare sector, where innovation is what propels better healthcare, intellectual property legislation is essential. This study aimed to assess the knowledge of Intellectual property rights among …

A Correlational Study Of Pharmacology Knowledge Versus Confidence Levels In Student Nurses, Christine A. Sump, Lynn Wiles

International Nursing Research Congress (INRC)

Background: Student nurse knowledge and confidence levels when administering medications play a large role in error risks. Little information exists about the complex relationship between medication knowledge and error risks influenced by perceived certainty (Caboral-Stevens, M, et al, 2020.) Graduate nurses’ educational experiences affect their ability to meet novice nurse competencies such as safe medication administration (MA) practices (Musharyanti, L.,et al 2021, Tsegaye, D., et al, 2021.)

Purpose: The purpose of this study was to compare student medication knowledge and decision-making skills with their self-identified confidence levels.

Methods: This correlational study design compared 270 junior and senior BSN nursing students’ …

Compressed Majority Judgment Ballot With Merkle And Aggregated Pqc Signature, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This publication is covering a complete, implementable stack for sovereign, post-quantum Majority Judgment (JM) e-voting: compact 3-bit ballots, Merkle aggregation, PQC signatures, DID-based eligibility, Kyber+threshold …

Inverse Flynn Effect: Analysis Of Causes, Solutions And Foresight Scenarios, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This publication addresses the inverse Flynn effect through 65 enabling innovations across devices, assays, AI, closed-loop protocols, materials, therapies, manufacturing, imaging, delivery, data standards, UX, …