Digital Commons Network^™

The Impact Of Digital Reverse Mentoring On Older Adults' Digital Literacy: Mediating Roles Of Self-Perceptions Of Aging And Self-Efficacy, Jierong Hu, Minzhi Ye, Haotian Wan, Wengian Leong

School of Social Work Faculty Publications

Background and Objectives: Digital literacy is critical for older adults to maintain social connections, access information, and support overall mental well-being. However, many older adults struggle with using digital devices. Guided by the self-fulfilling prophecy theory, this study investigates how digital reverse mentoring (DRM), referring to younger individuals assisting older adults in learning and using digital technology, is associated with digital literacy, with self-perceptions of aging and self-efficacy as mediators.

Research Design and Methods: A cross-sectional study was conducted with 402 community-dwelling older adults aged 60+ in Macao, China. Control variables include gender, age, education, income, self-rated health, and home …

Livestreaming A Doitocracy: Platform-Jumping Participatory Practices In Modular Synthesis Gear Cultures, Eliot Bates

Publications and Research

Earth Modular Society (EMS) is a cross-platform community dedicated to live hardware modular synthesis, with their primary efforts going into a 24/7 modular “radio station” that livestreams on Twitch and YouTube, and a supporting Discord chat server. Although part of the broader modular synthesis gear culture (a large-scale social formation that coalesces around specific classes of fetishized technical objects), EMS represents a new development in gear cultures as it foregrounds live performance and minimizes the accrual of status via conspicuous consumption. The normative governance structures of platform-specific gear culture communities preclude all but one or a handful of users from …

In Search Of Resilience: A Case Study Of Leadership In Challenging Times In An International School Setting, Bradylee W. Mcgeough

Dissertations

This study investigated the leadership of a long-serving head of an international school during six periods of significant crisis affecting the school. The study was conducted at a private school in Islamabad, Pakistan, often referred to locally as The American School.

The study paid particular attention to the development of resilience in the leader and in the follower group during and after periods of crisis. Initially designed as a heuristic inquiry, in practice the study emerged more as a collection of oral histories, although heuristic inquiry methods were employed throughout the study. Polkinghorne’s conception of narrative analysis also …

Robust Qr Code Counterfeit Detection By Integrating Vgg19 Neural Embedding And Triplet Loss, Gede Putra Kusuma, Yulianto Yulianto, Renaldy Fredyan, Hendi Chandi, Jeffry William Tan, Philip Kwan, Muhammad Dafa Syukur

Baghdad Science Journal

Detecting counterfeit Quick Response codes plays a critical role in protecting the integrity of products and documents. This paper presents a novel methodology to increase the reliability of QR code counterfeit detection by integrating neural embedding VGG19 and triplet loss. The approach uses deep neural networks. Specifically, the modification of the VGG19 architecture is used to extract unique features from QR codes. These features are embedded in a multi-dimensional space using neural embedding methods. The use of the triplet loss function aims to increase the discriminative power of the embeddings, ensuring the discriminative power of the embeddings, and ensuring that …

Bioinformatics-Inspired Secure Video Encryption Using Chaotic Maps And Light Streaming Algorithms, Rajaa K. Hasoun, Rasha S. Ali, Ahmed G. Hameed, Ghassan H. Abdul-Majeed

Baghdad Science Journal

The Traditional encryption methods, such as AES, can be too slow for large video files, necessitating the development of faster and more efficient solutions for real-time video security. This research aims to enhance video security during transmission by developing a novel video encryption algorithm that is both fast and robust, specifically designed to handle large video datasets efficiently. The proposed video encryption algorithm integrates lightweight streaming algorithms for enhanced speed, modern cryptographic techniques, and chaotic maps for heightened security. The encryption process involves three key steps: Dividing the video into frames and scrambling/encrypting each frame, employing three innovative techniques: vertical …

Protocol For The Development Of The Who Gestational Weight Gain Charts, Thais Rangel Bousquet Carrilho, Olufemi Taiwo Oladapo, Jennifer A. Hutcheon, Giovanna Gatica-Domínquez, Kathleen M. Rasmussen, Monica C. Flores-Urrutia, Richard Kumapley, Ӧzge Tunçalp, Dang Bahya-Batinda, Amel A. Fayed, Annick Bogaerts, Aris T. Papageorghiou, Cinthya Muñoz-Manrique, Dayana Rodrigues Farias, Eric Ohuma, Harshpal Sachdev, Hayfaa A. Wahabi, Helena J. Teede, Molin Wang, Nandita Perumal Phd

Faculty Publications

Introduction Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it across all geographic locations and pre-pregnancy body mass index (BMI) categories. The WHO is undertaking a project to develop GWG charts by pre-pregnancy BMI category, and to identify GWG ranges associated with the lowest risks of adverse maternal and infant outcomes. This protocol describes all the steps that will be used to accomplish the development of these GWG charts.

Methods and analysis This project will involve the analysis of individual …

Promote, Partner & Mentor: Research At Liberty University, Mark Hamilton

Faculty Publications and Presentations

How can you be involved with faculty and student research at Liberty University? Promote your own research through LU Faculty SHARE (the faculty research platform). Partner with Liberty University Journals, encouraging student submissions. Mentor students in the research process.

Objectives

At the end of this session, attendees will be able to:

• Promote your own Research through LU Faculty SHARE 
• Use LU Faculty SHARE to list your own articles, posters, and presentations.

• Partner with Liberty University Journals 
• Serve as an advisor, or editor of an existing journal.
• Create a new journal by completing an interest form and application for a new …

2026-01-14 Ringing In The New Year Out Of The Spectator Office, Spectator Editorial Board

The Spectator Online

No abstract provided.

Unlocking The Benefits Of Transparent And Reusable Science For Climate Risk Management, Adam B. Pollack, Lisa Auermuller, Casey D. Burleyson, Jentry Campbell, Madison Condon, Courtney Cooper, Matteo Coronese, Sönke Dangendorf, James Doss-Gollin, Prabhat Hegde, Casey Helgeson, Robert E. Kopp, Jan Kwakkel, Corey Lesk, Justin Mankin, Robert E. Nicholas, Jennie Rice, Samantha Roth, Vivek Srikrishnan, Moira Scheeler, Nancy Tuana, Chris Vernon, Mengqi Zhao, Klaus Keller

Faculty Scholarship

People around the world seek climate risk information to guide their decisions. For instance, projections about future flood risk inform where households choose to live, how lenders manage credit risks, and which communities receive federal funding. Yet data limitations and fundamental validation challenges raise important concerns about the reliability of such projections. The principles of transparency and reusability help address these concerns by enabling scrutiny of assumptions and methods, development of foundational data and tools, and consistent application of evaluation standards. While there is ongoing debate about how much transparency commercial climate risk services should provide, many expect noncommercial actors …

Codazzi Normalized Null Hypersurfaces, Théophile Kemajou Mbiakop, Cyriaque Atindogbe, Ferdinand Ngakeu

Turkish Journal of Mathematics

We introduce a class of null hypersurfaces of Lorentzian manifolds, namely Codazzi normalized null hyper surfaces, whose (screen) shape operator associated with the rigged vector field is a Codazzi tensor. Several examples are given to support our study. Moreover, we investigate conditions implying that the induced Riemannian screen structure on a Codazzi-type normalized null hypersurface of a Lorentzian space is locally a nontrivial warped product.

The Tribal Rules Of Evidence, Nicole Morote

American Indian Law Journal

Rules of evidence shape litigation practice across the country. In this sense, they govern the truth as it enters the court. Legal scholarship has yet to study tribal approaches to evidence— an area with tremendous promise for legal practitioners and evidence rulemakers alike.

This Article is the first to do so. It analyzes an array of tribal evidence codes across the United States. It reveals three frameworks that describe tribes’ approaches to the Federal Rules. In doing so, it offers a modest contribution to the nascent intersection between Tribal law and evidence studies: crucial insight into tribal systems’ unique needs, …

Advancing The Rights Of Nature: Lessons From Sauk-Suiattle V. City Of Seattle, Harry S. Katz

American Indian Law Journal

Advocates for the “rights of nature” seek recognition of legal rights for natural elements such as mountains, rivers, and non-human species as a means of protecting the environment. In the United States, Tribal Nations have been at the forefront of this nascent movement. In a 2022 Washington state case, the Sauk-Suiattle Indian Tribe sued the City of Seattle, alleging that the City’s hydroelectric dams on the Skagit River infringe upon the rights of salmon. Those rights, they claim, include the salmon’s rights to exist, flourish, regenerate, and evolve. The case, known as Sauk-Suiattle Indian Tribe v. City of Seattle, …

Native History Is United States History: How United States History Censorship Leads To Passive Acceptance Of Racial Discrimination And Furthers The Decline Of Tribal Sovereignty, Nickolasa A. Jackson

American Indian Law Journal

Native stories are embedded in the United States Constitution, property law, and the nation’s legal and political framework, but education frequently omits these truths. Such erasure perpetuates misunderstanding, invisibility, and hostility toward Native communities, obscuring the reality that the United States was built through the dispossession, coercion, and suffering of Indigenous Peoples. Whitewashing history has allowed the nation to claim moral virtue and industriousness while denying the foundational role of Indigenous Peoples. The Article emphasizes that Native rights, whether land, water, or other treaty-protected entitlements, as well as inherent rights such as tribal sovereignty, are not charitable or discretionary; they …

Toward A New Era Of American Indian Scholarship: An Introductory Essay For The American Indian Law Journal, Matthew L.M. Fletcher

American Indian Law Journal

No abstract provided.

A Neutrosophic Homological-Gröbner Framework For Ai-Driven Media Education Evaluation, Mona Gharib, Hafiz Muhammad Athar Farid, José M. Merigó, Muhammad Riaz

Sustainable Machine Intelligence Journal

The integration of artificial intelligence (AI) with media technologies has transformed teaching in Journalism and Communication, introducing new challenges for quality evaluation. Traditional assessment methods fail to capture the uncertainty, inconsistency, and incompleteness inherent in modern educational data. This paper proposes a Neutrosophic Homological–Gröbner Framework, which unifies three perspectives: neutrosophic sets to encode uncertain evidence, homological algebra to analyze structural coherence, and Gröbner bases to systematically simplify interdependent evaluation rules.

Within this framework, diverse evidence is encoded into neutrosophic triplets, daggregate into course-level indicators, and organized into neutrosophic chain complexes, where Betti indices reveal coherence and fragmentation. Educational policies are …

High-Performance Deep Learning Techniques For Plant Disease Detection: Performance Analysis, Validation, And Applications, Doaa El-Shahat, Ahmed Elmasry

Sustainable Machine Intelligence Journal

The early detection of plant diseases is an indispensable task to improve crop yields and production quality. Crop disease observations by experienced pathologists are difficult and might take a long time. Therefore, deep learning (DL) techniques have been utilized to present an automated detection technique that could accurately and timely detect plant diseases. Several DL models in the literature were proposed, but no paper conducted a comparative study between those models to determine which of them was the best alternative for this task. Therefore, twenty-one DL models are compared in this review paper to show which of them could achieve …

Rf-Et-Ann: Hybrid Machine Learning Model For Forecasting Short-Term Photovoltaic Power Production, Walid Abdullah, Ahmed Ismail Ebada, Mohamed Abouhawwash

Sustainable Machine Intelligence Journal

Accurately forecasting photovoltaic (PV) power generation is a challenging problem due to the non-linear and highly variable characteristics of solar data, which is strongly influenced by several interdependent factors, such as environmental conditions, system characteristics, and technical aspects. In this study, a newly proposed machine learning (ML) technique based on integrating random forest (RF), extra trees (ET), and artificial neural networks (ANN) is presented to tackle this problem with better predictive accuracy, ensuring that solar energy is used more consistently, effectively, and economically; this model is dubbed RF-ET-ANN for short. Hybridization of these three models will help capture non-linear aspects …

Gnmsa: An Accurate Parameter Estimation Of Semi-Empirical Proton Exchange Membrane Fuel Cells Model Using A Hybrid Artificial Intelligence–Based Optimization Approach, Dina Atef, Doaa El-Shahat, Hafiz Burhan Ul Haq, Zaka Ur Rehman, Muhammad Nauman Irshad

Sustainable Machine Intelligence Journal

The PEMFC parameter estimation problem has recently piqued the interest of several researchers due to its significance in reaching better PEMFC modeling. However, existing PEMFC parameter estimation algorithms encounter significant difficulty in solving this problem because of its complex and highly nonlinear nature. Therefore, this paper presents a new hybrid approach, termed GNMSA, for addressing this problem more accurately. This hybrid approach combines the exploration operator of the generalized normal distribution optimization with the exploitation operator of the mantis search optimization (MSA), resulting in this strong variant that has high abilities to alleviate stagnation in local optima and expedite convergence …

An Enhanced Optimization Algorithm For Estimating Pem Fuel Cells Parameters: Performance Comparison And Real-World Applicability, Ibrahim Alrashdi, Karam M. Sallam

Sustainable Machine Intelligence Journal

Accurate modeling is critical for the efficient design, control, and optimization of a proton exchange membrane (PEM) fuel cell. This problem is regarded as a multi-modal, multi-variate, non-linear optimization problem, and several methods in the literature have been presented to tackle it. However, those methods still suffer from either being stuck into local optima or a slow convergence rate. To solve this problem more accurately in terms of final results and convergence speed, this study proposes a hybrid optimization algorithm based on enhancing the recently proposed crested porcupine optimizer (CPO) using two new optimization methods, namely ranking-based optimization and exploration-exploitation …

Deep Learning In Precision Agriculture: A Systematic Review Of Methods, Datasets, And Applications, Mariam Ahmed

Sustainable Machine Intelligence Journal

With the growing demand for food and water for the world population. Deep learning is one of the most powerful approaches for smart agriculture, offering the capacity for accurate and fast data manipulation and decision-making. To this end, this study contributes to the body of knowledge as follows. We present a comprehensive review of deep learning methods commonly applied in precision agriculture, categorized into three main categories: discriminative, generative, and hybrid models. Given the data-driven nature of DL, we provided a structured overview and tabulation of available datasets in precision agriculture, by categorizing them according to modality to guide dataset …

Vigilante Violence, The Rise Of The New Right, And The Persistence Of The Texas Farmworkers, 1975–1980, Brent M. S. Campney, Tim Bowman

History Faculty Publications

This study charts the ineffective vigilante violence perpetrated by growers in the Rio Grande Valley of Texas to suppress farmworker activism from the mid-to-late 1970s and their abrupt shift in tactics with a 1980 strike in Hereford, Texas, toward the adoption of strictly nonviolent and tediously legalistic new methods associated with the neoconservative backlash. It does so in two major sections. In the first, grower violence is chronicled in detail that underscores both its rage and ineffectiveness. The second section shows how the New Right usurped the longstanding usage of physical violence against ethnic Mexicans in Texas, prompting conservatives to …

Securing U.S. Leadership In Agentic Ai Literacy And Adoption: U.S. Vs Chinese Government Policies And Initiatives, Satyadhar Joshi

Harrisburg University Other Works

This paper conducts a comparative analysis of U.S. and Chinese frameworks for AI literacy and adoption, with focus on agentic AI and Artificial General Intelligence (AGI) systems capable of autonomous reasoning and execution. We examine national policies, educational integration, governance structures, and technological roadmaps, employing both qualitative review and quantitative modeling. Mathematical formulations include multi-dimensional literacy scoring, Bass diffusion models for adoption dynamics, risk assessment functions, regulatory effectiveness indices, competitiveness metrics, and optimization frameworks for resource allocation. Our analysis reveals divergent paradigms: the U.S. Favors decentralized, innovation-driven approaches with emphasis on interoperability and public-private collaboration; while China pursues centralized, state-led …

The Bg News January 14, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. January 14, 2026. Volume 105-Issue 13.

Where The Government Steps Back, Business And Philanthropy Can Step Forward Together, Emily Brenner, Tory Martin, Anneliese Orr

Research, Reports, and Publications

No abstract provided.

Innovation And Survival: The Charitable Sector Is Looking For New Ways To Work, Jeff Williams

Research, Reports, and Publications

No abstract provided.

Employee Well-Being At Risk During Times Of Hyper Disruption, Jill Roof, Anneliese Orr, Mandy Sharp Eizinger

Research, Reports, and Publications

No abstract provided.

The Impact Of Awareness Of Campus Health Services On Utilization Of Medical Care Among Residential Students At Liberty University, Catherine Pandagade

Masters Theses

College students represent the most prominent group of individuals when considering their lifestyles throughout aging. Therefore, this age group serves as a good opportunity for health education that could build positive health behaviors for life. Existing literature have said that the 18-25 year olds tend to have fewer resources and be often uninsured and have the highest rates of preventable diseases.2 Objective: The aim of this research is to investigate the impact of awareness and its subsequent effect on utilization of available health resources on campus among the student population of Liberty University. Additionally, the purpose of the research through …

Autograft Enlargement After The Ross Procedure In Pediatric Patients: Somatic Growth Or Pathologic Dilatation?, Ioannis Zoupas, Alexander C Mills, Scott D Olson, Damien J Lapar

Faculty, Staff and Student Publications

Purpose of ReviewPulmonary autograft autotransplantation represents a popular surgical approach for pediatric patients requiring aortic valve replacement due to the potential for autograft enlargement to accommodate somatic growth. Nevertheless, autograft dilatation and the subsequent need for reintervention are quite common. Published data suggest that autograft enlargement may result from pathological passive remodeling rather than active somatic growth and vice versa. The present review serves to comprehensively evaluate available evidence related to the fate of the pulmonary autograft after the Ross procedure as it relates to the etiology, risk factors and patterns of autograft failure.ResultsStudies present conflicting results supporting both pathological …

Africa's Global Influence, Faez Al-Haq - Abidemi Salami

Masters Theses

This thesis believes in the design and production of an interactive kids' coloring book on Africa's extensive influence on world cultures, history, economies, and artistic heritage. In a bid to reverse centuries of misrepresentation and large-scale miseducation regarding Africa within early childhood textbooks, this work aims to design an interactive, kid-friendly guide that informs young readers about the central role Africa plays in today's world. Informed by thorough literature review and referencing case studies of successful education and culture intervention, the proposal positions Africa's global reach, spanning from its precolonial trading networks, philosophic structures, diaspora contributions, art heritage, and cultural …

Black Girl Magic Is Real, Bethany M. Duff

Masters Theses

This thesis began with an inquiry into the state of representation of Black women authors within the fantasy fiction genre. The artist statement delves into the development of a fantasy story with a Black young woman protagonist written by a Black woman. The story serves as a vehicle for the author to continue the authorial legacy begun by Black women authors decades before. The critical research paper operates as a literature review of five books within the fantasy fiction genre, written by Black women. It discusses the themes of: the connection between race and the narrative, race and the magic …