Digital Commons Network^™

An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin

Engineering and Technology

The proliferation of fake news across digital platforms poses a significant threat to democratic processes, public health, and social cohesion in the United States. Manual fact-checking and traditional moderation approaches are increasingly inadequate due to the scale, speed, and sophistication of misinformation campaigns. This presents an AI-driven framework for real-time fake news detection, designed to serve as an intelligent filter for news platforms operating within the US media ecosystem. Leveraging natural language processing (NLP) techniques and machine learning algorithms—including supervised classifiers and deep learning models such as BERT and LSTM—the framework identifies deceptive content with high precision and low latency. …

Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

Montclair State University Scholarship & Creative Works

Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …

Prediction Of Underground Cable Health Index Based On Iga‑Bp Neural Network, Jinbo Huang, Guoping Zou, Jiange Jiao, Xiangrong Chen, Tianjian Zhao

Journal of Electric Power Science and Technology

With cable equipment being widely deployed, cable faults have threatened the safe operation of the power grid. Traditional operation and maintenance work has difficulty in accurately predicting the current health status of cable insulation. To address this issue, a cable health index prediction method based on an improved genetic algorithm-back propagation (IGA-BP) neural network model is proposed. Since the rate of parameter change in underground cables varies at different aging stages, the method incorporates recent aging trend characteristics into both the fitness function and mutation operator during parameter optimization. By distinguishing individuals based on these aging characteristics, the model enhances …

Optimal Switch Allocation In Distribution Networks Considering Interruption Frequency And Source‑Load Uncertainty, Yang Liu, Chun Wang, Min Zhang, Fei Wang

Journal of Electric Power Science and Technology

To reduce the system’s interruption frequency, a coordinated optimization method for load switches and circuit breakers in a distribution network is proposed, with the system’s average interruption frequency introduced as a constraint. By considering the uncertainty of distributed generation and load, a sample matrix is generated using Latin hypercube sampling, and the uncertainty problem is transformed into a deterministic problem by applying a multi-scenario analysis method. To improve the efficiency of island partitioning, a heuristic method is proposed to determine the scope of islands. Case analysis is carried out on an improved IEEE RBTS-BUS6 F4 distribution system. The results show …

Phased Voltage Control Strategy For Dg In Low‑Voltage Distribution Station Areas Based On Cloud‑Edge Collaboration, Shuaihu Li, Tan Zou, Handian Li, Zhidan Zhang, Yijia Cao

Journal of Electric Power Science and Technology

In view of the voltage overrun problem triggered by the unsynchronized peak output period of distributed generation (DG) and heavy load period in low-voltage distribution station areas, a phased voltage control strategy for DG in station areas based on cloud-edge collaboration is proposed. First, the historical operation data of the station area collected by the intelligent fusion terminal is received through the cloud master station, and a short-term prediction model of voltage based on spectral graph theory and graph convolution network is constructed at the cloud layer; then, the intelligent fusion terminal at the edge layer makes short-term prediction of …

Research On Key Technologies For Ar Feature Extraction In Relay Protection Operation Sites, Yongzhi Zhang, Yongting Zhang

Journal of Electric Power Science and Technology

The relay protection operation requires strict technical operation and high accuracy. In response to the current challenges of high complexity and poor universality in modeling with augmented reality (AR) applications, a feature extraction edge computing framework is proposed. Firstly, the Canny algorithm is applied to perform edge analysis on the meter, pressure plate, and terminal block of the protection cabinet. To address salt-and-pepper noise in the images, a fixed-window median filtering method is employed for prepossessing. The improved Sobel operator optimizes gradients in the horizontal and vertical directions, and a set of contour boundary lines is constructed using the least …

Islanded Microgrid Control Strategy Based On Improved Consensus Algorithm, Zewen Li, Ziling Mao, Yuanchuan Wang, Juncheng Fu, Yixiang Xia

Journal of Electric Power Science and Technology

The convergence speed for islanded microgrid systems using classical consensus control is slow, but the current improved consensus algorithm makes it difficult to meet the requirements of “plug and play” for distributed generation. Therefore, an improved consensus algorithm is proposed. By introducing the overall error elimination term, the information exchange between each distributed generation and the overall error elimination term acquisition are achieved without changing the original topology, and the stability of the improved consensus algorithm is verified through simulation. Subsequently, a control strategy based on the improved consensus algorithm is proposed, achieving frequency stability and precise power distribution for …

Power System And Comprehensive Energy Knowledge Graph Based On Neo4j Graph Database, Xiaolong Ren, Xi Chen, Hengbin Si, Shuang Tian

Journal of Electric Power Science and Technology

At present, the scale of the power grid is expanding, and the amount of knowledge in power systems is increasing explosively. In order to organize, manage, and utilize mass knowledge effectively, knowledge graph technology is introduced into the field of power systems and comprehensive energy systems. Common relational databases of Oracle and structured query language (SQL) need to use tables to store data and query and analyze data through complex relationships, which is more complicated when dealing with complex relationships. The Neo4j graph database represents data as nodes and edges, which makes the correlation between entities and relationships intuitively expressed …

Localization Of Leakage Caused By Low‑Voltage Wiring Errors On User Side Based On Correlation Analysis And Gradient Boosting Decision Trees, Junfeng Zheng, Chaoqiang Chen, Feng Chen, Yaxuan Chen

Journal of Electric Power Science and Technology

Neutral and ground wiring errors on the user side are common in low-voltage transformer districts, which can cause user load currents to be converted into residual currents, resulting in frequent tripping of residual current circuit protection devices in the transformer district and their forced deactivation, thereby posing a threat to electrical safety. Since such wiring errors are present on the user side and are difficult to locate and troubleshoot, they have become a major obstacle to the deployment of residual current protection in transformer districts. This paper proposes a method for locating the user-side leakage due to wiring errors based …

Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M

Theses and Dissertations

Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …

Discourse Analysis Of Partner-Focus In Intimate Partner Violence, Maureen Theresa Lowell

Dissertations and Theses

Intimate partner violence (IPV) involves behaviors that harm or threaten to harm an intimate partner; but more importantly, it involves the production of power and control in an intimate relationship that threatens a partner's liberty and wellbeing. As a wicked problem, IPV is challenging to unpack without reducing the complexities that give it its power. This study seeks to explore the complex nature of how abusive men's focus on their partner functions as a mechanism of abuse. To develop the concept of other-focus I draw on constructs of coercive control, power, and dominance. To investigate partner-focus, I conducted a discourse …

The Influence Of Sociodemographic Factors On Opioid Mortalities In The U.S. State Of Georgia, Theresa Highsmith

Walden Dissertations and Doctoral Studies

Since the late 1990s, the United States has been in the midst of an opioid epidemic that continues to present significant public health challenges. Opioid-related mortality, particularly involving fentanyl, has disproportionately affected vulnerable populations. The purpose of this quantitative study was to examine the associations between educational level, homelessness, and alcohol use with opioid-related overdose deaths involving fentanyl, while controlling for age, gender, and marital status, among Black and White populations in the U.S. state of Georgia. The theoretical framework was Bronfenbrenner’s socioecological model, which recognizes that individual behavior is influenced by multiple levels of factors, including interpersonal, community, and …

Adolescents' Use Of Music For Pain Management., Rebecca J. Lepping, Lora L. Black, Kymberly A. Kline, Deanna Hanson-Abromeit, Andrea L. Chadwick, Dustin Wallace, William R. Black

Manuscripts, Articles, Book Chapters and Other Papers

To investigate the experiences of adolescents with chronic pain who participated in an intensive interdisciplinary pain treatment program, this secondary study analyzes the themes that emerged regarding the spontaneous utilization of music in coping strategies for chronic pain. During research interviews focused on coping skills and treatment engagement, participants spontaneously reported using music as an effective coping strategy for managing pain. A deductive thematic analysis revealed key themes related to their usage, including using music as a distractor, motivator and in other ways as coping strategies. Since participants indicated that music is essential to their experiences of coping with pain, …

Discord From Within: Challenges Facing Catholicism In The United States And The Road Ahead, Amber Montgomery

Say Something Theological: The Student Journal of Theological Studies

As membership in the Catholic Church continues to decline in the United States, there are less parishioners or those interested in religious life. Two contributing reasons for this include the Church’s stance on the use of contraception and the role of women within ministry. Explored here is a brief survey of these issues based on Scripture, papal documents, feminist theology, and the perspective of clergy and lay persons. These two topics are of particular interest as the United States grapples with women’s rights over their bodies and wrestle with women’s place within the Church. While the Church has taken an …

Analog Chip May Be Key To Unlocking Ai Power, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – Most computers use digital systems that separate memory, where data is stored, and processing, where it is used. This setup wastes energy because the computer must constantly move data back and forth, but a University of Mississippi professor is working to develop a more efficient alternative.

Environmental, Social, And Molecular Regulation Of Foraging Behavior In The Formosan Subterranean Termite, Arjun Khadka

LSU Doctoral Dissertations

Foraging is a critical activity in social insects, essential for resource acquisition and colony sustenance. In termites, this behavior is shaped by environmental, social, and genetic factors, yet the underlying regulatory mechanisms remain poorly understood. In this study, we examined how environmental food and moisture availability, and the age of termites affected foraging activities, along with the molecular regulation of foraging in the Formosan subterranean termite, Coptotermes formosanus, using a combination of behavioral assays, transcriptomics, and molecular biology approaches. First, we demonstrate that food and moisture deprivation (FMD) significantly affects foraging, with termites under deprivation conditions exhibiting increased foraging …

Public Support For Puma Reintroduction In The Eastern United States, L. Mark Elbroch, Jazmin J. Murphy, Shelby C. Carlson, John A. Vucetich, Richard E.W. Berl, Lexi Galiardi, Shelby Perry, Tom Butler, Neil Carter, Joseph W. Hinton, Axel Moehrenschlager, Emily Carrollo, Rana Bayrakcismith, Jeremy T. Bruskotter

Michigan Tech Publications

Pumas (Puma concolor) are among the species identified as having the potential to enhance ecosystem function. Previous research highlights sufficient ecological habitat to support pumas in the eastern United States; however, their reintroduction requires social and institutional support as well. To this end, we conducted research to assess attitudes about puma reintroduction among key constituencies like hunters, rural residents, and young people. We sampled 2756 respondents across seven states (Massachusetts, Maine, New Hampshire, New York, Pennsylvania, Vermont, and West Virginia). Ratios of strong support (for puma reintroduction) to strong opposition across states ranged from 4:1 to 13:1, and support outweighed …

Ai Regulation: Competition, Arbitrage & Regulatory Capture, Filippo Lancieri, Laura Edelson, Stefan Bechtold

Georgetown Law Faculty Publications and Other Works

The commercial launch of ChatGPT in November 2022 and the fast development of large language models have catapulted the regulation of artificial intelligence to the forefront of policy debates. A vast body of scholarship, white papers, and other policy analyses followed, outlining ideal regulatory regimes for AI. The European Union and other jurisdictions have moved forward by regulating AI and LLMs. One overlooked area is the political economy of these regulatory initiatives—or how countries and companies can behave strategically and use different regulatory levers to protect their interests in the international competition on how to regulate AI.

This Article helps …

Illness Severity And Marital Communication In Young Couples: The Moderating Role Of Marital Satisfaction, Jaime Lea Dick

Theses and Dissertations

The emergence of a chronic physical illness is unexpected in emerging adulthood and is accompanied by stress. Additionally, married partners of individuals with physical illnesses are likewise affected by the new diagnosis. Marriage outcomes of couples facing chronic illnesses together vary, being sometimes positive and sometimes negative. The current study examined the relationship between the emergence of chronic physical illness in emerging adults and marital communication of both the patient and partner, with marital satisfaction as a moderator. Gender differences are also addressed. From the Couple Relationships and Transition Experiences (CREATE) study, a nationally representative dataset of newly married emerging …

Lindenwood Digest, July 23, 2025, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

Insights From The Front Line: Uplifting Stories Of The Covid-19 Pandemic Through The Eyes Of The Public Health Workforce In Iowa, Heidi Haines, Amanda Sursely, Hanh Pham, Rylee Beltran, Daniel K. Sewell, Lina Tucker Reinders, Natoshia Askelson, Sarah Dixon, Kaitlin Emrich, Christine Estle, Michelle Lewis, Jimmy Reyes

Faculty Publications

Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: We used an innovative mixed methods data collection tool, SenseMaker^® to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured follow-up questions. We conducted descriptive analyses of the quantitative questions. A qualitative thematic and sentiment analysis was applied to all …

Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra

Mansoura Engineering Journal

With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …

Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta

Master’s Dissertations

Secure aggregation is a critical component of privacy-preserving federated learning. However, existing fixed-sparsity approaches often incur unnecessary communication overhead. We present DynamicSecAgg, a novel framework that introduces dynamic sparsity while preserving coordinate-level privacy. Our method achieves significant improvements in communication efficiency while maintaining — and in some cases improving — model accuracy across both IID and non-IID user distributions. The framework maintains information-theoretic privacy guarantees via adaptive gradient thresholding and polynomial-based aggregation, proving particularly effective under heterogeneous data settings. These results establish dynamic sparsity as a key optimization for efficient and privacy-preserving federated learning.

Cloud-Assisted Multi-Channel Data Broadcasting, Debabrata Maji

Master’s Dissertations

The convergence of Internet of Things (IoT) and cloud computing has transformed technology, impacting commerce, industrial production, data management, etc. Multi- Channel Broadcast Encryption (MCBE), first introduced by Phan et al. (ASIACCS 2013), is a cryptographic encryption primitive used for both IoT and Cloud that permits a sender to e!ciently and securely encrypt several messages for di”erent groups of receivers. After thoroughly exploring the existing literature, we observe that none achieves the robust provable security within the standard model. This paper addresses this gap, aiming to achieve adaptive INDistinguishable under full-IDentity Chosen-Ciphertext Attack (IND-ID-CCA) security by constructing an e!cient identity-based …

Association Between Homelessness And Maternal Health Outcomes Among Non-Hispanic Black Women In Georgia, Miranda Weaver

Walden Dissertations and Doctoral Studies

Maternal health disparities among homeless non-Hispanic Black women in Georgia represent a critical public health concern, driven by inequitable access to care and elevated risks of adverse pregnancy outcomes. This study examined how homelessness influences perinatal care utilization (timing and frequency of prenatal visits and postpartum checkups) and pregnancy complications (gestational diabetes, hypertension, and depression), and whether these associations differ by geographic context (urban versus rural). Grounded in the Social Determinants of Health framework, the study used a quantitative cross-sectional design, analyzing secondary data (n = 1,540; weighted ≈ 203,571) from Phase 8 (2017–2021) of the Pregnancy Risk Assessment Monitoring …

Enhancing Onboarding And Role Transition For Advanced Practice Clinicians Through The Development Of A Structured Mentorship Program, Christina Sternesky

Walden Dissertations and Doctoral Studies

The assimilation of advanced practice clinicians (APCs), nurse practitioners, and physician assistants into healthcare systems is significantly dependent on the quality of their onboarding experience and the availability of a structured mentorship program. Without mentorship programs, APCs often experience job dissatisfaction, reduced confidence, undefined role clarity, and increased burnout. In this quality improvement Doctor of Nursing Practice project, I conducted a comprehensive assessment of the needs of APCs and subsequently developed a structured, evidence-based mentorship program. The program, approved by an expert panel, was designed to support the onboarding of APCS, their role transition, and ongoing professional development within a …

Staff Education To Outpatient Healthcare Staff On Managing Patients With Aggressive Behaviors, Adeline Fonkem Asonganyi

Walden Dissertations and Doctoral Studies

The aim of this staff educational project was to improve staff knowledge by educating healthcare staff on how to minimize patients’ aggressiveness and provide a safer, more therapeutic environment for patients and healthcare providers. Patients with mental health problems can exhibit violent behavior, posing threats to patient safety and the safety of healthcare workers. To address this practice gap, I conducted a literature review; 509 articles were identified and then narrowed to 23 articles specific to this topic. The project question for my study was: Does implementing an educational program for nurses and mental health specialists on strategies to reduce …

The Covid-19 Lockdown And Diabetes Self-Management In Esan Northeast Area Of Edo State, Esther Ehivbaun Rapu

Walden Dissertations and Doctoral Studies

The COVID-19 lockdown impacted chronic diseases care globally, but there is limited research on how individuals in rural Nigerian communities managed diabetes during this period. This qualitative phenomenological study explored the lived experiences of self-management with diabetes during the COVID-19 lockdown among adults in Esan Northeast. The socioecological model (SEM) served as the guiding conceptual framework, allowing for the exploration of the impact of individual, interpersonal, community, and institutional factors on self-care behaviors. The research explored how cultural, social and economic factors impacted how adults with diabetes in Esan Northeast managed their condition during the COVID-19 lockdown. Semi-structured interviews via …

The Histone H3 Lysine 36 Demethylase Kdm2a/Fbxl11 Controls Polycomb-Mediated Gene Repression And Germ Cell Development In Male Mice, Michael T Bocker, Grigorios Fanourgakis, Kristie Wetzel, Pavel A Komarov, Hélène Royo, Alexia Rohmer, Sunwoo Chun, Ching-Yeu Liang, Hubertus Kohler, Taiping Chen, Xiaohong Mao, Mark A Labow, Reginald A Valdez, Michael B Stadler, Dirk G De Rooij, Paola Capodieci, John Tallarico, Antoine H F M Peters, Thomas B Nicholson

Faculty, Staff and Student Publications

KDM2A/FBXL11 is a Jumonji-domain containing lysine demethylase catalyzing the removal of mono- and di-methyl modifications of histone H3 lysine 36 (H3K36me1/2). While Kdm2a is required for mouse embryogenesis, its role in adult physiology has been largely unexplored. Using conditional deletion approaches, we demonstrate that Kdm2a deficiency leads to testicular atrophy and male infertility. Although spermatogonial stem cells remain unaffected, proliferating and differentiating spermatogonia exhibit delayed cell cycle progression and apoptosis. RNA-sequencing of purified spermatogonia and spermatocytes reveals Kdm2a-dependent repression of over 750 genes during spermatogonial differentiation. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) demonstrates increased H3K36me2 levels at CpG-rich gene promoters …

Lessons From The 2023 Ieee Autonomous Drone Chase Challenge, Luigi Raphael I. Dy, Kristoffer B. Borgen, John H. Mott, Yung Hsiang Lu, Li Yu Lin, Zhangpeng Yang, James M. Goppert, Jakub Tomczak, Stefano Roccella, Andrea Vannini, Zhiwei Dong

Faculty Research, Scholarly, and Creative Activity

No abstract provided.