Digital Commons Network^™

Now?, I. Bennett Capers

Faculty Scholarship

This essay brings Afrofuturism, and its notion of the plasticity of time, to imagine how we will think of the past in the future and, more specifically, to consider what will "enrapture, haunt, and/or plague thinkers in the future." Although many answers come to mind, including this country's original sin-slavery-ultimately this essay turns to our current technologies, especially policing technologies. And this essay turns the question around to ask, "How should we in the present think about the future? And what can we do now to change it?"

Under Political Pressure: How Courts And Congress Can Help Prosecutors Do Justice, Bruce A. Green, Rebecca Roiphe

Faculty Scholarship

Some subordinate federal prosecutors faced a challenging professional dilemma in the early days of the second Trump Administration. It arose from the tension between their role as public officials and lawyers who owe fiduciary duties to the public and their role as Department of Justice (DOJ) employees who take direction from higher-ups. The DOJ leadership directed these subordinate prosecutors to use their considerable power in ways evidently designed to advance partisan political objectives. This was contrary to the clear understanding previously expressed by courts, the legal profession, and the DOJ itself that prosecutors have a duty to seek justice, which …

Novel Sex Work Anti-Discrimination Protections, Chi Adanna Mgbako, Christine Eldabh, Katie Falk, Emma Pennie

Faculty Scholarship

Sex workers throughout the world experience ubiquitous and acute discrimination in every facet of their lives due to deeprooted stigma. Societal fear and hatred of sex workers often lead to their exclusion from healthcare services, financial institutions, and accessible housing, as well as their marginalization by the carceral state, family law systems, media, and politicians. Between 2022 and 2024, the Australian jurisdictions of the Northern Territory, Queensland, and Victoria passed groundbreaking legislation codifying novel anti-discrimination protections for sex workers. These laws are the first in the world to explicitly protect sex workers against discrimination in accommodation, employment, government services, and …

Transcending Through The Body: The Embodied Transcendence Scale, John Elfers, Patty Hlava

International Journal of Transpersonal Studies Advance Publication Archive

This article describes the development of a psychometric instrument called The Embodied Transcendence Scale, a psychometric instrument, is designed to measure the phenomenological features of the felt and lived experience of transcendence. Its development began with interviews on experiences of awe, gratitude, and compassion, from which 77 unique items were identified; a survey with these items was completed by a diverse demographic sample (N = 408). An exploratory factor analysis reduced these items to a 4-factor structure of 20 items. A confirmatory factor analysis (N = 358) showed good fit indices for the factor structure and a reliability coefficient of …

Death And Debts, Kevin Bennardo

Faculty Publications

This Article analyzes how inheritance law treats debts owed to and by a decedent, focusing on the Uniform Probate Code’s treatment of unpaid purchase-price balances associated with specifically devised property. While UPC §2‑606(a)(1) automatically gives the outstanding balance to the specific devisee, the Article argues that this rule is inconsistent with modern intent‑based ademption doctrine and with the Code’s treatment of debts owed by the estate. It contends that only outstanding balances secured by the devised asset reflect a meaningful connection to the testator’s likely intent. Unsecured balances, by contrast, should not automatically avoid ademption. The Article proposes amending the …

Alienation On Campus: Students, Agency, And A 'Praxis Of Possibility', Julia R. Allison

Dissertations

In the 1950s, 60s, and 70s, the idea of alienation took hold across the United States as a way of explaining feelings of disconnection, powerlessness, and meaninglessness that seemed to be pervading American society. This was no less true on college and university campuses, where students engaged in protest over both government action and inaction and a new youth counterculture took root. What led to alienation’s prominence as a social phenomenon is a matter of some debate, as are the causes of its precipitous decline in the early 70s. However, after an extended silence more recent decades have seen something …

Leveraging Artificial Intelligent For Optimized Crop Production: An Ann-Based Approach, Yahya Layth Khaleel, Fadya A. Habeeb, Mustafa Abdulfattah Habeeb, Fatimah N. Ameen

Mesopotamian Journal of Computer Science

To incite modern day crop production and ensure sustainability, exact crop recommendations are key to the process. This study pays significant attention to the need for the use of big data tools in studies involving comprehensive data sets that contain information on soil and other environmental characteristics. The set of data used in this research includes Nitrogen, Phosphorus, and Potassium content coordinated with Temperature, Humidity, pH Value, and Rainfall. Knowing these factors is to make a favorable decision about improving agricultural products yield, availability and management of the resources, as well as general well-being of the crops. Specialized advisory on …

Approach For Detecting Face Morphing Attacks Using Convolution Neural Network, Essa M. Namis, Khalid Shaker, Sufyan Al-Janabi

Mesopotamian Journal of Computer Science

The facial morphing method combines at least two images of the face to get a singular altered facial image that exposes the vulnerabilities of face recognition systems (FRS). The extensive implementation of face recognition algorithms, particularly in Automatic Border Control (ABC) systems, has raised apprehensions over potential threats, as modified passports present significant risks to national security. In this paper, a new face morphing attack detection approach has been proposed using two different datasets (StyleGAN and AMSL) for testing and validation. A new model for face morphing attack detection based on a special Convolutional Neural Networks (CNNs) architecture has been …

Securing The Internet Of Wetland Things (Iowt) Using Machine And Deep Learning Methods: A Survey, Guma Ali, Wamusi Robert, Maad M. Mijwil, Malik Sallam, Jenan Ayad

Mesopotamian Journal of Computer Science

Wetlands are essential ecosystems that provide ecological, hydrological, and economic benefits. However, human activities and climate change are degrading their health and jeopardizing their long-term sustainability. To address these challenges, the Internet of Wetland Things (IoWT) has emerged as an innovative framework integrating advanced sensing, data collection, and communication technologies to monitor and manage wetland ecosystems. Despite its potential, the IoWT faces substantial security and privacy risks, compromising its effectiveness and hindering adoption. This survey explores integrating machine learning (ML) and deep learning (DL) techniques as solutions to address the security threats, vulnerabilities, and challenges inherent in IoWT ecosystems. The …

Anila: Adaptive Neuro-Inspired Learning Algorithm For Efficient Machine Learning, Ai Optimization, And Healthcare Enhancement, Ismael Khaleel, Wijdan Noaman Marzoog, Ghada Al-Kateb

Mesopotamian Journal of Computer Science

The Adaptive Neuro-Inspired Learning Algorithm (ANILA) offers a breakthrough in the realm of machine learning by drawing inspiration from the biological processes of the human brain. Developed to address limitations in conventional models such as CNNs and RNNs, ANILA enhances real-time responsiveness, energy efficiency, and system adaptability. By emulating neurobiological behaviors particularly sparse coding and synaptic plasticity ANILA allows systems to process data dynamically, adjust to novel inputs without retraining, and scale effectively across environments like IoT and healthcare diagnostics. Performance evaluations highlight significant reductions in latency, increases in energy efficiency (up to 92%), and exceptional adaptability to changing data …

Enhancing Cybersecurity In Smart Education With Deep Learning And Computer Vision: A Survey, Guma Ali, Aziku Samuel, Maad M. Mijwil, Kholoud Al-Mahzoum, Malik Sallam, Ioannis Adamopoulos, Ayodeji Olalekan Salau, Indu Bala, Klodian Dhoska, Engin Melekoglu

Mesopotamian Journal of Computer Science

The rapid digital transformation of education, driven by the widespread adoption of smart devices and online platforms, has ushered in the era of smart education. While this shift enhances learning experiences, it also introduces significant cybersecurity risks that threaten the confidentiality, integrity, and availability of educational resources, student data, and institutional systems. This survey examines how deep learning (DL) and computer vision (CV) techniques can enhance cybersecurity in smart education environments. By reviewing 202 peer-reviewed research papers published between January 2022 and June 2025 across leading publishers such as ACM Digital Library, Frontiers, Wiley Online Library, IGI Global, Nature, Springer, …

Real-Time Sdn–Iot Integrated Framework For Intelligent Emergency Vehicle Prioritization In Smart Cities, Sura F. Ismail

Mesopotamian Journal of Computer Science

Urban traffic control has become increasingly complex with rising vehicle density, particularly in smart cities. Timely arrival of emergency vehicles is critical, yet existing systems relying on manual transmitters and sirens offer limited range and effectiveness. This paper proposes a real-time intelligent traffic management framework integrating Software-Defined Networking (SDN), Internet of Things (IoT) technologies, and the Edge of Things (EoT)—a paradigm combining edge computing with IoT to enable low-latency processing at the network edge. The framework connects the SUMO traffic simulator and Veins vehicular network framework via TraCI, with the RYU SDN controller dynamically adjusting traffic signals and vehicle routes …

Haze-Image-Dataset: A Large-Scale Benchmark For Image Dehazing In Variable Fog And Low-Light Conditions, Mustafa J. Shahbaz, Ali A.D. Al-Zuky

Mesopotamian Journal of Computer Science

To enhance image dehazing and visual recognition in real-world conditions, we introduce HAZE-IMAGE-DATASET, a large-scale dataset comprising nearly 42,000 images. It is constructed from 1,532 clean images sourced globally and captured using a Samsung smartphone, covering diverse natural and urban scenes. The dataset includes synthetic and real haze variations. Synthetic haze was generated using MATLAB-based atmospheric scattering models with depth maps for 10 fog levels. Colored haze was created using alpha blending (α = 0.4) in six colors: red, green, blue, yellow, white, and black. Low-light conditions were simulated via uniform darkening at 10 levels. Also, 616 real haze images …

Towards Achieving The Un Sustainable Development Goals: The Role Of Ai In Municipality Services, Thabit Sultan Mohammed, Karim Mohammed Aljebory, Ahmed Thabit Sultan

Mesopotamian Journal of Computer Science

In 2015, the United Nations adopted the Sustainable Development Goals (SDGs) to end poverty, protect the planet, and ensure global peace and prosperity by 2030. However, progress has been hindered by challenges like the COVID-19 pandemic, climate change, funding shortages, political instability, and data limitations. Municipal services, crucial to achieving the SDGs, provide essential functions like waste management, healthcare, and public safety. Artificial Intelligence (AI) offers innovative solutions to enhance these services, improving urban sustainability and fostering public-private collaboration. This research examines AI's role in municipal services, analyzing its applications, benefits, challenges, and future potential through case studies and expert …

Enhanced Tea Algorithm Performance Using Affine Transformation And Chaotic Arnold Map, Nada Hussein M. Ali, Mays M. Hoobi, Sura Abed Sarab Hussien

Mesopotamian Journal of Computer Science

In digital images, protecting sensitive visual information against unauthorized access is considered a critical issue; robust encryption methods are the best solution to preserve such information. This paper introduces a model designed to enhance the performance of the Tiny Encryption Algorithm (TEA) in encrypting images. Two approaches have been suggested for the image cipher process as a preprocessing step before applying the Tiny Encryption Algorithm (TEA). The step mentioned earlier aims to de-correlate and weaken adjacent pixel values as a preparation process before the encryption process. The first approach suggests an Affine transformation for image encryption at two layers, utilizing …

Enhanced Iot Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection And Adaptive Smote, Sura Abed Sarab Hussien, Mustafa S. Ibrahim Alsumaidaie, Nada Hussein M. Ali

Mesopotamian Journal of Computer Science

The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats.  This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrate that GWO reduces features from 32 …

Dgen: A Dynamic Generative Encryption Network For Adaptive And Secure Image Processing, Mohammed Rajih Jassim, Qusay M. Salih, Ghada Al-Kateb

Mesopotamian Journal of Computer Science

Cyber-attacks keep growing. Because of that, we need stronger ways to protect pictures. This paper talks about DGEN, a Dynamic Generative Encryption Network. It mixes Generative Adversarial Networks with a key system that can change with context. The method may potentially mean it can adjust itself when new threats appear, instead of a fixed lock like AES. It tries to block brute‑force, statistical tricks, or quantum attacks. The design adds randomness, uses learning, and makes keys that depend on each image. That should give very good security, some flexibility, and keep compute cost low. Tests still ran on several public …

Lightweight Deep Reinforcement Learning Model For Energy-Efficient Resource Allocation In Edge Computing, Ghassan A. Abed, Mohanad A. Al-Askari

Mesopotamian Journal of Computer Science

A lightweight digital twin model for a single 6G cell operating in the D-band (140 GHz) with a 1 GHz bandwidth is presented in this work with the goal of assessing the cell's capacity, coverage, and terminal time in order to support extended reality (XR) applications. With a tangent dispersion of 3 dB and a path exponent of n = 2.2, the model is based on the free-space loss equation as per ITU-R Recommendation P.525. The instantaneous capacity is determined using the Shannon-Hartley theorem. Three XR sessions are created every minute using a Poisson method, and their durations are determined …

Agentic Ai-Enhanced Virtual Reality For Adaptive Immersive Learning Environments, Indra Kishor, Udit Mamodiya, Mohammed Almaayah, Amer Alqutaish, Rami Shehab, Theyazn H. H. Aldhyani

Mesopotamian Journal of Computer Science

Immersive learning using Virtual Reality (VR) has gained prominence for delivering experiential, engaging education. However, most VR learning environments lack real-time adaptability, personalization, and cognitive responsiveness. This study presents an Agentic AI-enabled VR framework that autonomously adjusts pedagogical content, interaction style, and challenge level based on learner behavior, emotions, and performance feedback. The proposed system integrates a reinforcement learning-based agent with a virtual reality module to form an intelligent tutor capable of independent decision-making. A neuro-symbolic model processes multi-modal feedback (gesture, speech, gaze, performance) to determine context-aware pedagogical strategies. The system employs a self-evolving curriculum logic that adapts in real …

Effects Of Ionophore And Yeast Addition To The Diet On Starch Digestion And Rumen Andblood Parameters In Sheep With Subacute Rumen Acidosis, Şevket Evci̇, Mehmet Aki̇f Karsli, Mehmet Demi̇rci̇, Gökhan Şen

Turkish Journal of Veterinary & Animal Sciences

This study aimed to investigate the prevention of acidosis in ruminants, which causes yield and financial losses, and toevaluate the effects of feed additives on starch digestion. Four male Bafra yearling lambs with cannulated rumens were used in a 60-daystudy. Each lamb underwent 10 days of adaptation to a ration and 5 days of sampling for four different rations including a control ration(CR), monensin ration (MR), Saccharomyces cerevisiae ration (SR), and a ration with the combination of monensin and Saccharomycescerevisiae (MSR). The experiment followed a 4 × 4 Latin-square design. Dry matter intake and digestion rates were recorded as 2404 …

Characterization Of The Biofilm-Forming Ability And Certain Virulence Characters Ofaeromonas Spp. Isolates From Rainbow Trout, Türker Çelebi̇, Ertan Emek Onuk, Esra Demi̇rbaş, Gökçen Di̇nç

Turkish Journal of Veterinary & Animal Sciences

Aeromonas spp., commonly found in the aquatic environment, cause infections in both fish and humans. Their pathogenicitydepends on various virulence factors and ability to form biofilm. The current study aimed to determine the biofilm-forming capabilitiesand certain virulence characteristics of 25 Aeromonas spp. isolates obtained from rainbow trout in Türkiye. The biofilm-forming abilitiesof isolates were investigated comparatively using Congo red agar (CRA), the tube method (TM), and tissue culture plates (TCPs).Potential virulence factors, including hemolytic activity, gelatinase production, serine protease activity, DNase activity, and motility,were evaluated using phenotypic tests. Additionally, the distribution of four known virulence genes, namely aerA, exu, fla, …

A Guide To Urban Planning And Environmentalism, Michael Lewyn

Scholarly Works

Review of The Sustainable Urban Design Handbook, by Nico Larco, Kaarin Knudson.

Cardiac Timing Effects On Response Speed Are Modulated By Blood Pressure But Not Heart Rate Variability In Healthy Young Adults, Xiao Yang, Catalina Roldan, Michael Gazzanigo, Yasmine Nabulsi, Fang Fang

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Cardiac timing effects reflect the dynamic interplay between interoceptive and exteroceptive processes. Human information processing tends to be facilitated during cardiac diastole and inhibited during systole, reflecting autonomic regulation and the neuromodulation by baroreceptor afferents. Thus, blood pressure (BP) and vagally-mediated heart rate variability (vmHRV) are potential modulators of those effects. Additionally, cognitive control appears to play a critical role in the processes. However, whether cardiac timing effects are influenced by those factors remains unclear. The present study aimed to clarify these relationships. Fifty-one healthy young adults completed three experimental sessions to assess BP, short-term HRV, and cardiac timing effects. …

Repressed Memories And The Body Keeps The Score: Public Perceptions And Prevalence, Kris-Ann S. Anderson, Quincy C. Miller, Deryn Strange, Kamala London

Publications and Research

The “memory wars” resurgence has renewed debates over the validity of repressed memories. This revival appears linked to factors such as changing statutes of limitations, confusion about repression, and unchallenged social media content. In a nationally representative online survey of American adults (N = 1581), we examined (a) beliefs in repression and the body keeps the score, (b) the prevalence of recovered memory claims, and (c) the impact of question phrasing on recovered memory reporting. An overwhelming 94% of respondents expressed belief in repressed memory, and 77% endorsed the idea that the body keeps the score. Additionally, 3.6% (n = …

Does Performance Change Budgets? Punctuated Equilibrium, Performance, And The Budget For Juvenile Justice In An American State, Elaine Yi Lu, Robert Hines, Katherine Willoughby

Publications and Research

How performance informs budgeting and budgets is contentious and unclear. Applying punctuated equilibrium theory, this research seeks to understand if performance information once placed on the media and macropolitical agendas can lead to long term budgetary shifts. This research highlights how the accumulation of performance information punctuated the funding scheme and created a new equilibrium over time.

This research uses mixed methods to study the impact of performance on Florida’s (USA) Department of Juvenile Justice (DJJ) over a 20-year period. First, we conduct a media review of 400 randomly sampled newspaper articles to characterize the media discourse around the DJJ …

Assessing The Predictive Validity Of The Network Inventory Of Risk, Victories, And Needs Assessment (Nirvana) For Youth Receiving Prevention Services., Michael T. Baglivio, Kevin T. Wolff, Katherine Jackowski

Publications and Research

The current study assesses the predictive validity of a newly-developed holistic risk/needs assessment for youth receiving prevention services. Employing a multiyear statewide sample of over 17,000 prevention youth, multivariate and Area Under Curve techniques are used to examine predictive validity in predicting future formal juvenile justice system involvement (new law violations) across sex, race/ethnicity, and multiple youth age ranges. Furthermore, predictive validity across the severity of the subsequent offense type (misdemeanor, non-violent felony, violent felony) was examined. Findings demonstrate large effect sizes for static risk only, dynamic risk only, and total risk plus protective scores on future offending. Sex and …

A Battle Of The Chatbots: An Exploratory Comparison Of Chatgpt, Gemini, Copilot, Claude, Perplexity And Huggingchat, Karen Okamoto

Publications and Research

This exploratory study compares the output of the free versions of six generative artificial intelligence (AI) chatbots—ChatGPT, Gemini, Copilot, Claude, Perplexity and HuggingChat. Five questions were submitted to all of the chatbots and examined according to the length of the response, tone of the response, and any additional features provided by the chatbots such as citations, web links, and helpful follow-up questions. This comparison found that Perplexity excelled at responding to all of the questions though others provided strong outputs as well, pointing to the possible importance of using multiple chatbot for answers and for continually examining different chatbots given …

Understanding Violence In Juvenile Correctional Facilities: A National Study Of Victim-Offender Overlap In The United States, Tzu-Ying Lo, Yu-Hsuan Liu, Amy Adamczyk

Publications and Research

The phenomenon of victim-offender overlap within juvenile correctional facilities is an underexplored area in criminological research. This study examines the prevalence and correlates of victim-offender overlap using data from two collections of the National Survey of Youth in Custody conducted in 2008–2009 and 2012. Our findings reveal that the victim-offender overlap group constitutes a significant proportion of incarcerated youth. Multinomial logistic regression analysis indicates that institutional factors, such as correctional officer legitimacy, in-facility gang membership, fear of inmate assault, experience of filing complaints against staff, and time served, significantly differentiate victim-offenders from the three other groups: victims-only, offenders-only, and those …

Welcome From The Editor, Joshua E. Young

Iowa Journal of Communication

No abstract provided.

Languages And Nation Building, David Martinez-Prieto

Bilingual and Literacy Studies Faculty Publications

In this chapter, I analyze the ideologies behind the rationale that implies that citizens of a specific country should speak specific languages. In other words, I examine the relationship between the ideological construction of citizens and languages. I first explore notions of ideological construction explained by Weberian (1904/2002), Marxist (1872), and Geertz (1973) to provide a seminal understanding of the creation of a “collective we” embedded in nation-states. I then refer to some common academic research frameworks to analyze the ideological construction of citizenship within a nation state to differing degrees of acceptance of (Gramsci, 1948) and resistance to (Anzaldúa, …