Digital Commons Network^™

La Maquiladora De Sueños Is Where The “American Dream” Ends: The Socio-Cultural Impact Of Hai(T)Ijuanenses In The United States-México Borderlands, Pedro Aleman Perfecto

Master's Theses

Historically, Tijuana has been the destination for migrants who have been left out from the United States, Mexico, and the rest of the world. The city is at the epicenter of globalization where many transit, leave, and arrive. Sometimes considered a “third country” due to its binational and bicultural identity with its sister city, San Diego, California. The growing number of Haitian refugees that arrived in Tijuana in the mid 2010s to seek asylum in the United States overwhelmed the city’s infrastructure and left the Haitian community vulnerable, yet it created new opportunities and reshaped new identities in the region. …

Cyberspatial Cartographies: Mapping Digital Nationhood Within The California-Punjabi Diaspora., Saihajpratap Singh Bajwa

Master's Theses

This research investigates the phenomenon of digital nationhood, the idea that a new form of community is actively produced through interactions taking place within digital social networks and forums. These spaces function as more than repositories of information or cultural archives; they are living ecosystems in which identity is constructed through mutual encounters among members of a diaspora, where shared references, meanings, and concepts proliferate across multiplex networks. The central questions animating this inquiry are: can a nation exist without a territory, and are these encounters producing what we might conceive of as a digital nation?

The Punjabi people serve …

A Stadium In Our Backyard: Community Participation In Stadia Redevelopment Projects, Sofia Zazueta

Master's Theses

The Santiago Bernabeu in Madrid, Spain and the Chase Center in San Francisco, California are two stadium redevelopment projects that exemplify the stakeholder dynamics that come into play when developers pitch a multipurpose stadium located a few blocks away from people’s backyards. Urban development patterns must be in constant evolution to meet the needs and demands of the current generations. In cities, stadia redevelopment projects have entered the picture to reimagine the role that these structures once played. The stadium once used for the sole purpose of holding matches has become a venue that now hosts different events such as …

Middle Management Diplomacy: An Examination Of Us Foreign Policy Analysis In Middle-Echelon Diplomatic Professionals, Isaac R. Silvino

Master's Theses

This study analyzes the role which managerial level U.S. military Foreign Area Officers and Foreign Service Officers play in shaping and implementing U.S. foreign policy. By analyzing the individual professional at the middle-echelons of an organizational hierarchy, we make an effort in dispelling ourselves from obscured perceptions of IR centered on character and state idealization driven narratives. Doing this may help bridge the foundational gap between academics and practitioners while shifting towards a paradigm of IR analysis focusing on human agency and decisions.

Result

Individual managerial echelon diplomats do not directly make policy, but rather play a crucial role in …

Trust, Civic Institutions, And Crisis: A Study Of Civic Culture In Italy, Nolan Joseph Sherwood

Master's Theses

This paper examines whether cultural familism — the orientation of trust toward family at the expense of strangers and civic institutions — shapes civic institutional engagement in Italy across three levels of analysis. The first analysis links four familism indices constructed from the European Values Study (2017) to pre-COVID municipal 5 per mille tax allocation rates across approximately 7,700 Italian municipalities, finding that higher Trust Gap and Institutional Distrust robustly predict lower baseline civic giving, both nationally and within each region. The second analysis uses a Regression Discontinuity in Time design exploiting the sharp onset of COVID-19 in 2020, finding …

The Feather Of The Quill: How Folklore Shapes Human Relationships With Wildlife, Taylor Breeanne Nelson

Master's Theses

This thesis examines how folklore and cultural phenomena shape human relationships with wildlife, arguing that the stories a society tells about animals are not merely reflective of its values but are constitutive of them. Drawing on narrative research methods sourced from literature and academic journals and interviews with academics, conservationists, and community members, this project examines the role of animal folklore.

I discuss how narratives around wildlife evolved alongside the development of the United States, arguing that the beginnings of mainstream American conservation not only displaced existing communities but also erased the sophisticated human-animal relationships their traditions had long sustained. …

The Effects Of War Exposure On Psychological Well-Being And Social Preferences, Jacinta B. Duncan

Master's Theses

Using original survey and experimental data collected in Ukraine in 2023 and 2024, this paper estimates the causal impact of exposure to war-related violence on psychological outcomes, social preferences, and cognitive functioning. I combine a disaggregated war experience index with two incentivized economic experiments - a modified Dictator Game and an Emotional Stroop Test - and exploit randomized variation in task order as a priming treatment to establish causal identification. I find that war exposure has clear and consistently negative effects on psychological well-being, with direct personal experience producing the largest reduction in DASS well-being (β=−0.338 SD, p < 0.01), and that these effects are broadly distributed across demographic groups - though women report disproportionately higher psychological distress even at low levels of exposure. Social support emerges as the most effective buffer against war-related psychological harm, nearly eliminating the well-being gap between high- and low-exposure individuals, while economic hardship compounds distress and drives passive coping responses. In contrast, war exposure has limited and context-specific effects on social preferences: property loss and direct exposure increase prosocial behavior, but only when sharing is costless, consistent with solidarity norms operating within binding resource constraints. Cognitive task performance is largely unaffected by war exposure or emotional priming, with education emerging as the dominant predictor of Stroop performance across all specifications. Taken together, these findings support targeted, gender-sensitive mental health interventions and community-based support programs as high-leverage instruments for mitigating the long-term human costs of conflict.

Crop Yield Shocks And Conflict In Sub-Saharan Africa: Subnational Evidence From Satellite-Based Yield Predictions, Benson I. Adomako

Master's Theses

This paper examines whether crop yields affect violent conflict at the subnational level across seven Sub-Saharan African countries: Burkina Faso, Ethiopia, Mali, Malawi, Niger, Nigeria, and Tanzania, over the period 2010 to 2024. A central identification challenge is that observed yields are endogenous to conflict: armed violence disrupts planting, cultivation, and harvest. To address this, I train a machine learning model on observed maize yield and satellite and environmental features to generate predicted yields for 1,338 second-level administrative districts annually. These predictions serve as the key regressor in a two-way fixed-effects panel with district and year fixed effects. I find …

Librarians As Guardians Of Knowledge: Artificial Intelligence And The Future Of Librarianship, Michelle Q. Zeren, Alex D. Mcallister Ed.D

Library Philosophy and Practice (e-journal)

This article examines librarianship in the new age of AI, specifically how librarians can enhance and improve upon their already unique responsibilities by expanding to new and exciting jobs requiring AI information integrity. Librarian roles are becoming more crucial to the information environment as they help people fully embrace and protect knowledge in a challenging world of AI. The authors explore the evolving librarian roles needed to safeguard unbiased AI oversight, protect patron privacy, teach proper AI ethical academic usage, and fact check research information to maintain ethical integrity in academic studies. Librarians must continue to evolve and embrace an …

Effects Of Combined Application Of Biochar And Nitrogen Fertilizer On The Growth Parameters Of Lemongrass (Cymbopogon Citratus), Ashkan Asgari, Yunes Rameshjan, Babak Jamali, Aminallah Tahmasebi

Journal of Agricultural and Marine Sciences

The synergistic application of biochar and nitrogen fertilizer significantly improves plant growth and soil properties. The present study aimed to evaluate the effect of the application of biochar and nitrogen on the shoot and root of lemongrass in a factorial design within a completely randomized setup. The experiment included three levels of biochar, i.e. 0%, 1%, and 2% (v/v) and 2 levels of nitrogen, i.e. 0 and 1 (g/pot) under greenhouse conditions with 3 replications. The following parameters were measured, plant height, number of tillers, number of leaves, length of the largest leaf, fresh, shoot and root dry weight. The …

Ai-Driven Plant Health Assessment And Remediation: Case Study On Lemon Plants And Witches' Broom Disease, Zuhoor Al-Khanjari, Misk Hersi, Zainab Al-Ajmi

Journal of Agricultural and Marine Sciences

Plant diseases pose significant challenges to agricultural productivity and food security, particularly in regions like Oman, where citrus crops, such as lemon trees, are economically vital. Traditional diagnosis methods are time-consuming and often require expert intervention, limiting accessibility for small-scale farmers. This paper presents an AI-driven plant health assessment Nuwriq application. It leverages both image-based and text-based input to diagnose lemon plant diseases, particularly the Lemon Witch Broom Disease (LWBD). It incorporates two machine learning models: a convolutional neural network (CNN) for image classification and a natural language processing (NLP) model for symptom-based textual analysis. Users can upload images of …

Utilizing Artificial Neural Networks (Ann) To Forecast Date Palm Exports And The Regulatory Period Of The United Arab Emirates, Almouthana Aziz Hasan, Ibrahim Mohammad Abdullah

Journal of Agricultural and Marine Sciences

The research aimed to forecast the exports of United Arab Emirate (UAE) from date palm during the period (2021-2030). The R programming language was used to conduct econometric analysis in artificial intelligence, by analyzing time series of the factors influencing the UAE date palm export quantity and using the (ARIMA) methodology and construction of the artificial neural network (ANN). The results demonstrated that the influence of independent factors on the quantity of future exports was apparent, including the UAE date palm production quantity in tons (x1) at a percentage of (21.08%), domestic consumption in tons (x2) by (20.69%), mean UAE …

Who Gains And How? Agri-Food Trade Outcomes Of The Oman–India Cepa, Osman Gulseven, Lokman Zaibet, Ibtisam Al-Abri

Journal of Agricultural and Marine Sciences

This research evaluates the agricultural and food-related trade effects of the Oman–India Comprehensive Economic Partnership Agreement (CEPA) using product-level partial-equilibrium simulations implemented through the Trade Intelligence and Negotiation Adviser (TINA) platform. The results based on 2024 trade data indicate asymmetric outcomes. While both partners experience trade gains (\$567 million for Oman and \$656 million for India), Oman's export expansion to India is highly concentrated in a small number of energy and chemical products, whereas India's exports to Oman increase across a wide range of tariff lines, including several food products. In agriculture, CEPA primarily reinforces India's role as a key …

A Governorate-Level Index Of Fisheries And Coastal Habitats In Oman, Ibtisam Al Abri, Jaynab B. Yousuf, Nadir Al-Abri, Fahad Al Rasbi

Journal of Agricultural and Marine Sciences

Oman's fisheries sector, deeply rooted in coastal tradition, is becoming a key pillar in the nation's transition away from oil dependency. With over 3,165 km of coastline and access to three major marine ecosystems, the Arabian/Persian Gulf, Sea of Oman, and Arabian Sea, the country holds vast ecological and economic potential. However, the sustainability and performance of small-scale fisheries (SSF), which represent over 90% of national fishing activity, vary widely across governorates due to environmental stress, infrastructure gaps, and climate vulnerability. This study presents the first governorate-level, multidimensional assessment of fisheries and coastal resources sustainability in Oman. Using a mixed-methods …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Fragments, Editors Of Fragments

Fragments

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Fragments, Editors Of Fragments

Fragments

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Fragments, Editors Of Fragments

Fragments

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Fragments, Editors Of Fragments

Fragments

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Academic Freedom And International Education: Critical Perspectives For Practitioners, Samantha K. Nissen

Critical Internationalization Studies Review

No abstract provided.

Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences.  This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …

Dr. Pamela Pruitt, Keynote Address: From Motown To Metamorphosis: A Fireside Chat On Music, Communication, And Change, John V. Pavlik, Salvatore J. Fallica

Proceedings of the New York State Communication Association

No abstract provided.

The Tax Adviser, Volume 18, Number 12, December 1987, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Practice Management, Joseph T. Senko

Tax Adviser

No abstract provided.

Below-Market Corporation- Shareholder Loans, Calculating Imputed Interest Under The Proposed And Temporary Regulations, Ned P. Curtis

Tax Adviser

No abstract provided.

Software Companies And The Phc Tax, The Tra Rescues Many Companies From A Tax Trap, Sam L. White, Steven R. Selcer, John E. Karayan

Tax Adviser

No abstract provided.

Tax Clinic, Henry J. Ferrero Jr.

Tax Adviser

No abstract provided.

Temporary Regulations Under Sec. 382, Restrictions On Nol Trafficking Become More Onerous, Robert Willens, Ahron H. Haspel

Tax Adviser

No abstract provided.

Planning Around The Built-In Gains Tax, Choosing S Corporation Status Is More Difficult Now, Joseph B. Kristan

Tax Adviser

No abstract provided.

Decision Making At Triage Classification Using Svm With Smote Technique, Mehanas Shahul, Pushpalatha Kp

Northeast Journal of Complex Systems (NEJCS)

The efficient functioning of triage gates in overcrowded emergency departments (EDs) occurs in the context of the complex adaptive system (CAS) framework, where diverse system elements – patients, medical personnel, resources, patients’ inflow patterns, and patients themselves – simultaneously and dynamically influence the decision process. This study addresses the automated incorporation of machine learning triage algorithms as part of the system triage process to support automated classified risk-level recognition based on a limited set of vital signs. Patients are dynamically subsumed under high and low-risk categories enhanced by sensitivity, which enables optimal diagnosis and triage response to the critical clinician …