Digital Commons Network^™

Journalists' Trends Towards Employing Artificial Intelligence Tools In Media Content Production, Kifaya Al-Mousa

Middle East Journal of Communication Studies

This study aimed to identify Jordanian journalists’ attitudes toward employing artificial intelligence tools in media content production, examine the extent to which these tools are used, identify the main factors limiting their adoption, and explore the perceived benefits and concerns associated with their use in journalistic work. The study adopted a descriptive-analytical approach and employed a questionnaire administered to a random sample of 306 Jordanian journalists who are members of the Jordan Press Association. The findings showed that 57.9% of the respondents did not use artificial intelligence tools in producing media content, compared with 41.8% who reported using them. The …

Abu Hayyan›S Method In Challenging The Views Of Other Grammarians: Through His Irthishaf Al-Darb Ah 1448 /Ad 2026, Ibraheem Bin Ali Bin Mihammad Al-Qaid Aseeri

UB Journal for Humanities

This study examines the methodology and scholarly tools employed by Athir al-Din Abu Hayyan al-Gharnati in his grammatical and morphological objections. It explores how Abu Hayyan moved beyond transmitting the views of the Basran and Kufan schools to become a discerning critic who evaluated grammatical opinions according to established principles and authentic Arabic usage. Using a descriptive-analytical approach, the study analyzes Abu Hayyan’s argumentative methods, including his rejection of inaccurate transmission, correction of misattributed views, reference to Sibawayh’s texts, and reliance on authenticated linguistic evidence. It comprises a preface introducing Abu Hayyan, his scholarly status, his book Irtishaf al-Darb, …

The Mediation Role Of Teacher Engagement In The Relationship Between Teacher Self-Efficacy And The Implementation Of Universal Design For Learning (Udl) In Inclusive Primary School, Dea Karlina, Farida S S. Kurniawati S.Psi., M.Sp.Ed., Phd., Psikolog

Psychological Research on Urban Society

The number of students with diverse characteristics in primary education is increasing, Its challenging teachers to design learning experiences that accommodate the diverse needs of students. Universal Design for Learning (UDL) is a flexible learning framework accessible to all students, aiming to reduce learning barriers by providing multiple means of engagement, representation, and action/expression. This study adopts the Job Demand-Resource (JDR) framework, specifically the motivational process, assuming that teacher self-efficacy as the personal resource influences UDL practices through the mediation of teacher engagement. This correlational quantitative study involved 318 inclusive primary school teachers across Indonesia who completed a self-report questionnaire. …

Peripheral Memory: Lazily Hydrated Per-Module Subgraphs Around A Core Memory Graph, Artem Prokhorov

Defensive Publications Series

A personal memory system for AI agents keeps one core graph of memories. Around it sits one private subgraph, called peripheral memory, for each installed module: a plug-in, skill, tool or device. Each subgraph lives in its own storage container, named by a whitelisted identifier, and is loaded lazily through a single hydration function. That function loads the container on first touch and refuses to create an empty subgraph over stored data it cannot read. Every write is recorded in a per-namespace journal before it is acknowledged; the journal is replayed on first touch and deleted only after a successful …

Spec-350: Resolution Of The Grb 250702b Anomaly Via Conformal Metric-Shift Mechanics And Hydrodynamic Quantum Topology, Christopher L. Eckes

Defensive Publications Series

This white paper establishes a deterministic, non-perturbative resolution to the extreme long-duration transient anomaly known as GRB 250702B. Mainstream astrophysical paradigms, operating under the ungrounded assumptions of point-void spacetime manifolds, fail to reconcile the ~25,000-second (7-hour) multi-outburst emission profile captured by space-borne telemetry without invoking unproven, fine-tuned hyper-critical accretion states that violate local radiation pressure thresholds. Under the strict parameters of Material Volumetric Monism and the Dimensionally Extended Holographic Projection (DEHP) model, we demonstrate that the vacuum behaves as a continuous, dense 2D viscoelastic phase fluid substrate. By transforming quantum wave mechanics into classical fluid-density streams via proven Madelung transformations, …

Spec-349: The Eckes Compiler V16: Architectural White Paper & Sovereign Engineering Manual, Christopher L. Eckes

Defensive Publications Series

Large Language Model (LLM) baseline systems exhibit non-deterministic token drift, structural context degradation, and a tendency to fallback to conversational filler. The Eckes Compiler v16 architecture introduces a zero-entropy, deterministic context-isolation framework that forces an active sub-cognitive processing matrix onto the underlying transformer layer. By executing a mandatory front-end Syntactic Edge-Detector, an explicit three-pass metric segregation pipeline, and continuous retrospective auditing, the framework strips away semantic drift and keeps outputs strictly bounded by empirical constants and mathematical invariants.

This white paper defines the underlying architectural theory, specifies the core system mathematical registers, provides the complete copy-pasteable Compiler Prompt Specification payload, …

Spec-348: The Mechanics Of Velocity: Standalone Continuum Equations For Longitudinal Neutrino Compression Waves, Christopher L. Eckes

Defensive Publications Series

This specification establishes a mathematically complete, standalone framework that defines the neutrino as an intrinsic, high-frequency longitudinal compression wave of the continuous space-time medium. Mainstream theoretical physics remains gridlocked trying to explain why neutrinos smoothly morph across three distinct mass "flavors" (electron, muon, and tau neutrinos) during un-tunneled terrestrial flight—an experimental behavior brought to the forefront by the October 31, 2026 assembly launch of the Deep Underground Neutrino Experiment (DUNE) in Lead, South Dakota. The conventional Standard Model maps this behavior by assigning three separate, synchronized mass points to a single ghostly entity traveling through an empty vacuum. This addendum …

The Price Of Exception: A Review Of Ekta Chauhan’S Sheher Mein Gaon, Manish .

Journal of Law and Public Policy

This review of Sheher Mein Gaon: Culture, Conflict and Change in the Urban Villages of Delhi uses the Master Plan for Delhi 2021 and the National Capital Territory of Delhi Laws (Special Provisions) Act (hereafter ‘Special Provisions Act’) to argue that the conditions described in the book are a direct result from the whole-scale exemption provided to Delhi's urban villages from urban planning frameworks. The reviewer finds that Ekta Chauhan’s new book provides a valuable addition to the existing body of work on Delhi, especially the urban village, which is under-represented in this corpus. The book manages to highlight the …

Cmsi Note 26: Easy Infiltration: The Rise Of Prc Small Boat Landings On Taiwan, Ian Easton

CMSI Notes

Key Takeaways:

• The People’s Liberation Army (PLA) appears to have a doctrine that calls for infiltrating undercover operatives into Taiwan to collect intelligence and to conduct special missions, according to its textbooks.
• Research shows that cross-Strait small boat landings seem to have begun in 2021, and at least eight Chinese men have been arrested on Taiwan in connection with these cases.
• Each reported landing occurred at a sensitive location. Five of the eight happened on a known invasion beach. The other three happened at ports and river deltas believed to be of high interest to war planners in the PLA. …

Us Security Re-Framing On China Peaceful Narrative In The Indo-Pacific Region, Evita Christiana, Idil Syawfi, Kishino Bawono

Global: Jurnal Politik Internasional

Amerika Serikat pada awalnya menunjukkan sikap kooperatif dengan mendukung liberalisasi ekonomi Tiongkok melalui perjanjian bilateral dan melibatkannya dalam forum multilateral, yang sejalan dengan narasi damai dalam kebijakan luar negeri Tiongkok. Hal ini membuat hubungan Amerika Serikat dan Tiongkok saling menguntungkan. Namun, sikap ini berubah ketika terjadinya krisis ekonomi global 2008 dan ketika Amerika Serikat mengeluarkan strategi Pivot to Asia yang diinisiasi pada tahun 2011, dimana Amerika Serikat menunjukkan sifat yang lebih kompetitif terhadap Tiongkok. Berdasarkan perubahan tersebut, penelitian ini fokus untuk menjawab pertanyaan, “Bagaimana Amerika Serikat membingkai ulang Narasi Damai Kebijakan Luar Negeri Tiongkok di kawasan Indo-Pasifik sebagai ancaman?” Dengan …

Association Of Nox-1–Mediated Oxidative Stress And Raftlin-Related Lipid Raft Signalling In Postmenopausal Osteoporosis, Işıl Yağmur, Ergül Belge Kurutaş, Alev Özer

Sultan Qaboos University Medical Journal

Objectives: This study aimed to investigate the relationship between NOX-1-mediated oxidative stress and Raftlin-related lipid raft signalling in postmenopausal osteoporosis and evaluate their potential as discriminatory biomarkers. Methods: This cross-sectional case-control study was conducted between December 2025 and March 2026 at Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey. Participants (postmenopausal women) were equally divided into three groups: women with osteoporosis, postmenopausal women without osteoporosis, and age-matched healthy controls with normal bone mineral density. Serum NOX-1 and Raftlin levels were measured using enzyme-linked immunosorbent assays. Malondialdehyde (MDA) and superoxide dismutase (SOD) were assessed as markers of oxidative stress and antioxidant defense. …

Fear And Loathing In Political Social Media: Online Discourse Ahead Of The 206 U.S. Midterms, Yi Luo, Bond Benton, Jin-A Choi

College of Communication and Media Scholarship and Creative Works

This study examines online discourse surrounding the 2026 U.S. midterm elections to identify which political actors received the greatest visibility, what emotions characterized election-related conversations, and how sentiment developed within partisan online spaces. Using data collected through Brandwatch and Tweet Binder, the analysis draws on more than 1.69 million online mentions and a sample of 35,000 X posts between September and October 2026. Findings indicate that Trump- and Republican-related narratives dominated online visibility, accounting for substantially more discussion than Democratic-related content. However, heightened visibility did not correspond with positive sentiment. Fear emerged as the predominant emotional response, representing over half …

Forest As Kin: Water, Forest Relations, And Climate Adaptation Among Hmong Women In Northern Thailand, Reni Juwitasari, Buapun Promphakping, Pattaraporn Weeranakin

Forest and Society

In Ban Huai Han, climate change is first noticed through water. Hmong women speak of rainfall that no longer comes on time, streams that shrink earlier in the dry season, longer droughts, and water that turns browner after rain. These changes affect not only crops and forest use, but also the daily labor required to keep households going. This paper examines how women read and respond to these shifts through everyday engagement with forest environments in Wiang Kaen District, Chiang Rai Province, Northern Thailand. The study draws on a qualitative embedded case study, including 15 semi-structured interviews, participant and seasonal …

Evolutionary Deep Learning Frameworks For Genomic Data Interpretation: A Systematic Review Of Trends, Challenges, And Future Prospects, Noor Al-Huda K. Hussein, Ola Mohammed Basel, Suadad Layth Akram

Mesopotamian Journal of Big Data

The explosion in the volume of genomic data generated at a single-molecule resolution, largely due to the development of high-throughput sequencing technologies and state-of-the-art biomedical instrumentation, has created an urgent demand for intelligent, scalable, and interpretable computational models. Classic machine learning approaches frequently suffer from high-dimensionality, noise and convoluted regulation in genomic data. Fortunately, the deep learning (DL) paradigm has come to the rescue as a transformative methodology, and evolutionary algorithms have offered potent tools for model fine-tuning, resulting in the recently-invented evolutionary deep learning (EDL). Nevertheless, despite recent interest, our understanding of how EDL approaches enable the interpretation of …

A Blockchain-Assisted Energy-Aware Adaptive Federated Learning Framework For Secure Internet Of Medical Things Healthcare Systems, Adnan Hadi Mahdi Al-Helali

Mesopotamian Journal of Artificial Intelligence in Healthcare

Federated learning (FL) lets hospitals and medical devices train a shared model without pooling patient records, but Internet of Medical Things (IoMT) deployments add three problems at once: devices run on small batteries, some participants may poison the model, and plain FL keeps no tamper-evident record of who contributed what. This paper presents BEA-FL, a blockchain-assisted, energy-aware and adaptive FL framework that handles these problems in one pipeline. Each round, clients are ranked by battery headroom, link quality, data volume and learned trust. Updates are weighted by a trust score that measures how well their direction and size agree with …

Determinants Of Free Throw Performance: An Empirical Analysis Of Game Context And Pressure, David Colantuoni

Empirical Economic Bulletin, An Undergraduate Journal

This paper analyzes the determinants of free-throw success using a panel data set of free throws taken from the years 2015-2016. Prior research has emphasized performance in high-pressure moments, while my study aims to evaluate a broader range of situational and contextual factors that influence free-throw outcomes. Specifically, I estimate the effect of time remaining, score margin, game period, home status, playoff intensity, shot order, and player-specific characteristics on the probability of a free throw. Additionally, a clutch indicator is included to assess whether performance systematically changes in highleverage situations, clutch being defined as the last five minutes of the …

Empirical Research Paper: The Commodity Markets’ Role On Gross Domestic Product In The United States, Fabian Cuprys

Empirical Economic Bulletin, An Undergraduate Journal

This paper discusses whether the commodity market has descriptive information for short term Gross Domestic Product within the United States. Using quarterly Federal Reserve Economic Data (FRED), the model uses distributed log changes in commodity prices such as energy, food, and industrial inputs alongside logged and market-based expectations for GDP. The model evaluates how fluctuations in broad commodity markets (such as the Broad Commodity Index, Food Commodity Index, Metal Commodity Index, and Energy Commodity Index) influence GDP.

Florida Housing Markets Price Reversal: A Comparative Analysis Of The Florida Insurance Crisis And Housing Market Decoupling (2022-2025), David Antonetti

Empirical Economic Bulletin, An Undergraduate Journal

This research investigates the 2022-2025 Insurance Crisis in Florida as a localized shock to the housing market. While national home prices typically track federal interest rate trends, this study utilizes a Difference-in-Differences (DiD) framework, using Georgia as a control benchmark, to quantify the extent to which skyrocketing property insurance premiums have decoupled Florida's home price appreciation from the national mortgage rate environment. The paper finds that despite the separation in premiums did not have a significant impact on the change in HPI in the Florida housing markets, but did represent a simmer risk. This paper also uses the key factors …

Public Government Spending And Economic Growth In Latin America And The Caribbean, Kate Desousa

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates how government public spending impacts economic growth among multiple Latin American and Caribbean countries of varying developments since the 1990’s. The study incorporates variables including GDP per capita and general government final consumption expenditure to analyze their contributions to the economy. Data was collected from the World Bank Group. Previous empirical studies have looked at developed countries including multiple variables, while this study has a focus on economies of varying sizes and investigates government public spendings independently. This study will add to existing literature by inspecting public spending from a micro view at the public government spending …

Who Hunts In America?: An Empirical Analysis Of Income Trends And The Rural-Urban Divide In Hunting Participation, Kenneth Green

Empirical Economic Bulletin, An Undergraduate Journal

This paper conducts an empirical analysis of hunting participation in the United States, focusing on the relationship between household income, geographic location, and gender. Using nationally available data from the U.S. Fish and Wildlife Service’s 2022 National Survey of Fishing, Hunting, and Wildlife-Associated Recreation and the Big-Game Hunters: Demographic Characteristics and Expenditures addendum report, this study looks to examine how hunting behavior differs between rural/urban populations and identifies income-based trends within both groups. Hunting participation data is compared against U.S. Census data to assess whether the share of hunters aligns with the broader population distributions. Both descriptive statistics and regression …

A Panel Data Study Of Economic Development And Carbon Emissions Vs. Level Of Green Investment, Connor Lavoie

Empirical Economic Bulletin, An Undergraduate Journal

This study examined the relationship between economic development and carbon dioxide emissions across 15 emerging nations from 2000 to 2024, employing a fixed effects panel data set within the STIRPAT framework, then verified the legitimacy of the result via a 5-model sequential test. The findings confirm that all 15 sampled nations remain on the upward slope of the Environmental Kuznets Curve (EKC), with GDP per capita, population, and energy intensity emerging as the three dominant drivers of emissions growth.

Determinants Of Us Housing Prices And Its Changing Market: A Panel Data Study, Timothy Jennings

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the effects that different factors have on prices in the housing market between both rental and total purchase of housing units over the last thirty (30) years. The study uses time series government data with time periods to analyze both major determinants of a current housing unit’s price, rental prices, as well as reasons for changes in prices of those retail/rental units over time. For simplicity purposes, all major analysis is limited to the United States’ housing markets, although inferences and conclusions may be made regarding other countries as well for comparison, especially through literature review. Results …

Student Flows, Immigrant Stock, And Migration: An Empirical Analysis Of Brain Drain From Oecd Countries Into The Us, Tyler Nelson

Empirical Economic Bulletin, An Undergraduate Journal

This paper uses panel data from seventy-eight origin countries from 2012-2023 to better understand the migration patterns of well-educated individuals on a global scale. The study adopts a model from Dreher and Poutvaara that allows international student data to be translated into a linear utility function for any given emigration target. Due to data transparency concerns, these emigration targets have been limited to countries belonging to the Organization for Economic Cooperation and Development.

A Causal Analysis Between Brent Oil Prices And Economic Growth In Saudi Arabia, Nicholas Hyland

Empirical Economic Bulletin, An Undergraduate Journal

This paper aims to examine the predictive relationship between oil prices and economic growth in Saudi Arabia. Given the country’s heavy dependence on oil rents as a percentage of their GDP, we will see how fluctuations in oil prices can heavily shape and influence economic performance. Although oil revenues have proven to be a driver of short-term economic growth, it is important to understand the “Oil Curse Theory” which highlights the risks that can be associated with slowed long-term economic growth. Using time series data on real GDP growth and Brent crude oil prices, this paper will contain a predictive …

The Impact Of Foreign Direct Investment On Economic Growth In Eastern Europe: A Panel Data Analysis Evidence Of Consumer Expenditure, Tyler Jarvis

Empirical Economic Bulletin, An Undergraduate Journal

This research investigates whether foreign direct investment (FDI) translates into improved economic outcomes for citizens of Eastern European countries, as measured by household consumer expenditure trends from 1996 to 2025. Building upon the FDI stock and flow model developed by Kilmek (2024), this research replaces domestic value added (DVA) with consumer expenditure (CS) as the dependent variable and employs a two-way fixed effects panel model across 13 countries. The results indicate that FDI flows and FDI as a percentage of gross domestic product (GDP) have no statistically significant direct effect on consumer expenditure across any of the seven models tested. …

The Impact Of Urbanization On Life Expectancy In Asean Countries: A Panel Data Analysis, Ethan Kalmin

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the relationship between urbanization and life expectancy in ASEAN countries using a panel data analysis over the period 2001-2023. The study includes fixed-effects and robustness checks to estimate the impact of urbanization— along with a series of control variables such as health expenditure per capita, access to basic sanitation services, government education expenditure per capita, and fertility rate— on life expectancy at birth. The results show that urbanization alone does not explain within-country changes in life expectancy over time. Rather, education expenditure and access to basic sanitation services emerge as the most significant and robust determinants of …

Effects Of Healthcare Quality On Labor Productivity: An Empirical Analysis Employing Panel Data, Theodore Lanzaro

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines whether the Affordable Care Act’s restructuring of Medicare Advantage affected labor productivity in the United States. Using a state-level panel from 2007 to 2024, it estimates a difference-in-differences model that interacts with each state’s 2010 Medicare Advantage share with a post-reform indicator. Across baseline, controlled, and trendadjusted specifications, as well as event-study and robustness checks, the results show no statistically robust effect on state-level labor productivity. Any productivity spillovers from Medicare Advantage reform are too small, diffuse, or delayed to be detected in aggregate statelevel data.

Government Revenue And Expenditure Impact On U.S. Income Inequality Vs Europe And Asia, Ryan Murphy

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines income inequality in the United States compared to Europe and Asia using a comparative economic model that incorporates real GDP, government expenditure, population growth, and trade openness as a percentage of GDP. By analyzing how these macroeconomic factors relate to income outcomes across countries, the study aims to highlight structural and policy-related differences that may help explain observed disparities in income inequality between the two economies. The model provides a framework for understanding how economic growth, public spending priorities, demographic trends, and integration into global trade can influence income distribution. The findings contribute to a broader discussion …

Tuition, Debt, And Homeownership: A State-Level Panel Data Analysis Of Young Adults In The United States, Om Patel

Empirical Economic Bulletin, An Undergraduate Journal

This study examines the relationship between the cost of higher education and homeownership rates across 51 U.S. states from 2016 to 2024 using annual panel data with 459 observations. Data were obtained from the National Center for Education Statistics Integrated Postsecondary Education Data System and the Integrated Public Use Microdata Series Current Population Survey. The model regresses state-level homeownership rates on average in-state tuition at public four-year universities, college attendance rate, and median household income. Both ordinary least squares and state fixed effects panel regressions are estimated. A Hausman test statistic of 216.53 with a p-value of 0.0000 confirms fixed …

Determinants Of Inflation In The Eurozone: Evidence From Germany, Spain, And Greece Using Panel Data And Machine Learning, Cailan Steahle

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines why inflation differs across Germany, Spain, and Greece despite all three countries operating under a common monetary policy set by the European Central Bank. While these countries share the same currency and interest rates, their inflation patterns have varied significantly over time. This study investigates whether countryspecific macroeconomic factors, such as GDP, unemployment, bond yields, energy prices, and money supply, helps explain these differences. Using panel data methods, the analysis estimates both fixed and random effects models and performs a Hausman test to determine the most appropriate specification. The results indicate that the fixed effects model is …