Digital Commons Network^™

Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin

All Works

Low-altitude remote sensing networks are increasingly important for applications, such as environmental monitoring, disaster response, infrastructure inspection, and real-time sensing services. However, when many sensing nodes share limited spectrum resources, severe cochannel interference can degrade communication reliability and delay sensing-data delivery. This challenge becomes more critical in edge-enabled deployments, where control decisions must be made under strict latency, memory, and computational constraints. To address this issue, this article proposes a large language model (LLM)-enhanced edge-aware lightweight reconfigurable intelligent surface (RIS)-assisted dynamic channel allocation (EL-RIS-DCA) framework for interference mitigation in dense low-altitude remote sensing networks. The novelty of the proposed framework …

Lightweight Tinyml-Enhanced Task Offloading In Vanets For Next-Generation Intelligent Transportation Systems, Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed

All Works

Vehicular Ad Hoc Networks (VANETs) face resource constraints, high node mobility, and stringent latency requirements, especially in safety-critical applications such as collision avoidance, path planning, and emergency braking. Task offloading to nearby vehicles or Roadside Units (RSUs) mitigates local computational limits, but dynamic conditions, unreliable nodes, and rapid topology changes complicate dependable node selection. This paper proposes a Tiny Machine Learning (TinyML)-enhanced, credibility-based task offloading framework for real-time decision-making in vehicular networks. RSUs evaluate vehicle reliability through a three-component Credibility Assessment Module: a Task Assignment Component that distributes lightweight test tasks and filters unreliable nodes via TinyML inference; a Verification …

A Preliminary Exploratory Assessment Of Chatgpt To Generating Stride Data Flow Diagrams, Hassan Alsayegh, Mohamed El-Attar

All Works

Threat modeling is a core activity in security-by-design practices, enabling early identification of architectural weaknesses before system implementation. The drawings used during STRIDE analysis are typically Data Flow Diagrams (DFDs), referred to as “STRIDE diagrams” in this paper. STRIDE diagrams provide a visual approach for categorizing security threats; however, constructing accurate STRIDE diagrams require experience and is often time-consuming. Recent advances in Large Language Models (LLMs), such as ChatGPT, raise important questions about their suitability for supporting structured security modeling tasks. This study presents a preliminary exploratory assessment of ChatGPT’s ability to generate, analyse, and iteratively refine STRIDE diagrams from …

Sustainable Paper Production From Date Palm And Reed Leaves Through The Valorization Of Agricultural Waste Products, Imane Belyamani, Alreem Alameri, Jacqueline Soghman

All Works

The environmental consequences of wood-based paper production, including greenhouse gas emissions, have accelerated the search for sustainable alternatives. This study investigates the use of reed and date palm fibers as eco-friendly raw materials for paper production, focusing on starch's influence on their thermal, structural, and mechanical properties. Reed fibers exhibited a higher pulp yield (58.2 %) and lower lignin content (7.8 %) compared to date palm fibers (55.9 % yield, 14.1 % lignin), contributing to papers with smoother textures and greater flexibility. The incorporation of starch into both fiber types resulted in notable performance improvements, though the effects were more …

Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens

All Works

Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP …

Cyber Behaviors And Well-Being In Emerging Adults: Patterns, Determinants, And Gender Differences, Areej Elsayary, Juan Calmaestra, Mercedes Gómez-López

All Works

Technological advances have reshaped the ways in which young people interact, giving rise to a complex digital landscape with implications for their well-being. Despite the growing body of research on cyber behaviors, their potential for both positive and negative well-being outcomes is not yet fully understood, nor is the role of gender in shaping these relationships. The present study aimed to explore the relationship between online moral disengagement, problematic internet use, online disinhibition, and cyberbullying dimensions and emotional, social, and psychological well-being among 671 emerging adults, as well as to examine the potential moderator role of gender. The results revealed …

A Novel Bernstein Operational Matrix Approach For Tempered Fractional Differential Equations: Convergence And Stability Analysis, Jalal Al Hallak, Mohammed Alshbool, Ishak Hashim, Eddie Shahril Ismail, Shaher Momani

All Works

Tempered fractional differential equations (TFDEs) incorporate exponential decay into fractional operators to account for truncated memory and semi-long-range dependence in a variety of applications, including anomalous diffusion, viscoelasticity, transport phenomena, geophysical processes, and financial dynamics. In this work, a tempered fractional Bernstein method (TFBM) was proposed for the numerical solution of TFDEs involving Caputo-type derivatives. The proposed formulation combined a Bernstein polynomial approximation with an analytic representation of the Caputo–tempered fractional derivative through operational matrices. On this basis, two collocation-based variants were developed, namely, a Chebyshev-type method (TFBM-C) and a Legendre-type method (TFBM-L). For the linear setting, a convergence analysis …

Empirically Evaluating The Accessibility Of A Pon-Enable Feature Diagrams Notation By The Red-Green Colorblind Community, Mohamed El-Attar, Sarah Kohail, Rima Grati

All Works

In 2016, an enhanced version of a feature diagram notation developed using the Physics of Notations (PoN) framework was introduced. Empirical evidence demonstrated that this revised notation was more cognitively effective than the original. However, the new notation relies on color, specifically red, which poses accessibility challenges for individuals with red–green color vision deficiency, as they cannot perceive the notation as originally intended. Consequently, the cognitive effectiveness of a red–green–deficient (RGD) version of the new notation relative to the original notation remained unknown. Although the PoN framework specifies several principles that may be satisfied with or without the use of …

Leveraging Quantum Storage Mechanism For Digital Forensic Readiness Towards Smart City Security, Bashaer Aljeneibi, Richard Ikuesan

All Works

The increasing digitization of urban infrastructure has introduced advanced efficiency and connectivity in smart cities while exposing them to sophisticated cybersecurity threats. This study explores how Quantum Storage Mechanisms (QSM) can be integrated with digital forensic readiness systems to enhance smart city security and incident response. Through a simulated environment, the research evaluates the effectiveness of QSM against three critical cyberattack scenarios: Distributed Denial of Service (DDoS), sensor spoofing, and supply chain firmware attacks. The findings reveal that QSM-enabled systems outperform traditional cybersecurity tools by ensuring tamper-proof evidence collection, real-time threat detection, and secure long-term data retention. The study also …

Investigating The Impact Of Cyanobacterial Harmful Algal Blooms On Freshwater Bivalves, Destiny Devlin

Theses, Dissertations and Culminating Projects

Harmful algal blooms (HABs) threaten freshwater ecosystems by producing toxins that disrupt aquatic organism functions and pose risks to human health. This study investigated how exposure to toxin-producing cyanobacteria affects the behavior and toxin accumulation of Asian clams (Corbicula fluminea) under controlled laboratory conditions. Asian clams were collected from a freshwater site in New Jersey, maintained in greenhouse bins, and fed either Microcystis novacekii (non-toxin-forming, control N=3) or Microcystis aeruginosa (toxin-forming, experimental N=3) at 100,000 cells/mL for 28 days. Weekly behavioral assays were conducted to track shell opening, burying, clustering, valve closure, foot extension, and time to first opening. Toxin …

Holistic Stormwater Management In The Bound Brook River Basin, New Jersey, Sana Mirza

Theses, Dissertations and Culminating Projects

This dissertation presents a holistic framework for stormwater management in the Bound Brook River Basin, an urban watershed in central New Jersey that faces chronic nutrient enrichment and climate-driven hydrologic changes. The research integrates water-quality trend analysis, hydrologic modeling, and low-impact development (LID) optimization to assess current and projected watershed responses. By combining empirical monitoring data with downscaled climate simulations and spatial prioritization, the study utilizes a holistic approach for stormwater management planning. The first objective was to characterize nutrient dynamics and hydrologic transport pathways for nitrogen, phosphorus, and total suspended solids (TSS) from 2004 to 2019. Using bi-monthly monitoring …

An Integrated Approach To Groundwater Management In Northern New Jersey Watersheds, Toritseju Oyen

Theses, Dissertations and Culminating Projects

Groundwater deterioration has emerged as a pressing global concern, with widespread observations of declining water quality in various regions. The predominant cause of this deterioration is attributed to anthropogenic activities, which are deeply intertwined with daily human practices that contaminate water resources. Over the decades, many forested and wetland areas have been converted mainly for increased urbanization and industrialization use in northern New Jersey. The region’s watershed, already characterized as a low-yield aquifer, is facing deterioration because of continuous change in land cover. Anthropogenic activities aimed at providing solutions to problems, such as food scarcity, icy roads during the winter …

Applying History As Law: The Role Of Historical Facts In Implementing Constitutional Doctrine, Joseph Blocher, Brandon L. Garrett

Faculty Scholarship

The U.S. Supreme Court has long relied on historical evidence in constitutional cases, but recent years have seen a major change in how it does so: not only to interpret the meaning of constitutional text, but to establish doctrinal tests that call for historical evidence to be used in the application of those tests going forward. Broadly speaking, originalism has moved from the realm of legal interpretation to that of law declaration and then to law application. This transformation in the legal significance of history raises important questions for originalism as a practice of constitutional adjudication, not simply a theory …

Ai And Courts: An International Human Rights Perspective, Veronika Fikfak, Laurence R. Helfer

Faculty Scholarship

International human rights courts and treaty bodies are increasingly turning to automated decision-making (ADM) technologies to expedite and improve their review of individual complaints. These tribunals have yet to consider many of the legal, normative, and practical issues raised by the use of different types of automation technologies for these purposes. This chapter offers an initial assessment of the benefits and challenges of introducing ADM into international human rights adjudication. We weigh up the benefits of introducing these tools to improve international human rights adjudication – which include greater speed and efficiency in processing and sorting cases, identifying patterns in …

The Eighth Amendment And Prison Staff-To-Sentenced Prisoner Sexual Violence, Matthew Lyskawa

Faculty Scholarship

In this Article, I provide the first comprehensive account of lower federal courts’ Eighth Amendment prison conditions jurisprudence regarding prison staff-to-sentenced prisoner sexual violence. I show that lower federal courts are systematically misunderstanding and misapplying Supreme Court case law in this context. The result is that sexually victimized prisoners must meet extremely burdensome doctrinal standards unique to sexual violence claims. Lower federal courts would faithfully follow Supreme Court precedent if they applied the excessive force standard to sexual assault claims and the conditions of confinement standard to sexual harassment claims. However, a faithful application of Supreme Court case law does …

Llm-Assisted Legal Propositions Identification From Party Arguments In The U.S. Supreme Court Briefs, Heng Zheng, Alex Zhang

Faculty Scholarship

Merits briefs are central to U.S. litigation, serving as the primary means for parties to present arguments and persuade judges. Legal propositions in these merits briefs are the atomic units of arguments, whose relationships evolve throughout litigation and inform court decisions and precedent. Large language models (LLMs) have been applied to legal document review, but there is limited evidence on their ability to identify legal propositions in merits briefs. Given the labor-intensive nature of the task, we evaluate a human-AI collaborative approach to identifying legal propositions in the U.S. Supreme Court merits briefs, in which legal annotators review and revise …

Rethinking Behavior - Winter 2026, Midwest Symposium For Leadership In Behavior Disorders

ReThinking Behavior Magazine

A magazine for professionals serving children and youth with behavioral needs.

Winter 2026, Volume 9, Issue 2

Systematic Study On Preparation And Characterizations Of High Performance Bimetallic Pt-Co/Sba-15 Catalyst In N-Heptane Isomerization, Talib M. Albayati, Khalid A. Sukkar, Nisreen S. Ali, Mahir A. Abdulrahman, Basheer A. Abdulhussein, Issam K. Salih, Narges Elmi Fard

ASEAN Journal on Science and Technology for Development

Bimetallic catalysts were prepared by deposition of 1% of loading of (Pt-Co) onto SBA 15 support using heterogeneous reaction for enhancing hydroisomerization and promoting hydrocracking for the decomposition of n-heptane. The catalytic performance of the catalysts was subsequently evaluated thereafter. Characterization of the prepared catalysts was done by various techniques, which include XRD, FTIR, BETBJH, SEM/EDS, and TEM. The temperature range studied for this catalytic activity was 250 to 400 °C, at atmospheric pressure in a plug-flow reactor. The experimental setup kept a very rigorous control over the temperature, flow rate for the reactants, and pressure, while gas chromatographic techniques …

High Potential, Uneven Uptake: Off-Grid Renewables In Agriculture Across The Global South, Muhamad Setyawan Bahari, Destia Mardhotillah

ASEAN Journal on Science and Technology for Development

Reliable energy access is widely recognized as essential for agricultural development, yet adoption of off-grid renewable energy technologies (RETs) in the Global South remains uneven despite their high potential. While RETs are increasingly promoted as solutions to food insecurity and energy poverty, evidence on what enables or constrains their uptake across agricultural contexts remains fragmented. This study systematically reviews 18 peer-reviewed articles published between 2013 and 2025 using the PRISMA framework and synthesizes findings through a PESTEL lens. The literature has expanded in recent years, reflecting growing policy attention to the energy–agriculture nexus, but remains concentrated in Asia and heavily …

Regulatory Design Choices For Ai: The What, The Who And The How, Aziz Z. Huq

Public Law and Legal Theory Working Papers

This chapter identifies three common design choices that must be made in the course of an effort to regulate artificial intelligence “AI”). By isolating the way in which those different sovereign regulators approach these choices in respect to AI, it is possible to evaluate more clearly the likely effects of regulation, and to better understand aspects of regulatory design that to date have been overlooked. First, the “what” of AI regulation is not just a matter of how “AI” is defined, but also which element of the technology stack is targeted by law: compute, data, or models. Second, the “who” …

Why Are Executions Becoming Crueler?, Deborah W. Denno

Faculty Scholarship

Since the modern death penalty era, this country’s six execution methods have become crueler over time. This article details the execution procedures adopted across death penalty states up to the end of 2025, analyzing their societal and cultural underpinnings and explaining how they were implemented, including their shared flaws, unscientific origins and protocols, and reliance on untrained, unqualified, or unknown executioners. While legislatures and courts claim that states move from one technique to the next to enhance greater humaneness, history shows that such switches are primarily propelled by constitutional challenges to a state’s particular technique. In theory, rendering a state’s …

The Surveillance Of System-Adjacent Individuals, Mariam A. Hinds

Faculty Scholarship

Although the Fourth Amendment protects against “unreasonable searches and seizures,” this right is not enjoyed by all people equally. Supreme Court jurisprudence has curtailed the Fourth Amendment privacy rights of individuals under probation or parole supervision. In this line of cases, the Court concluded that the government’s interest in monitoring supervisees, reducing recidivism, and promoting public safety outweighed their reasonable expectation of privacy.

However, surveillance mechanisms like probation and parole extend the criminal legal system’s carceral gaze beyond the supervisees and peer into the bedrooms and digital lives of their families, roommates, and communities, or who this Article calls system-adjacent …

The Destruction Of The Climate Spending State, Adam D. Orford

Faculty Scholarship

The Biden Administration bet big on spending laws to forward its climate policies, creating a novel “climate spending state”in a field previously approached primarily through regulation. But the second Trump Administration, building on an aggressive theory of Presidential power, with support from bicameral Congressional majorities and a sympathetic Supreme Court, has dismantled the climate spending state with startling ease and speed. Although degradation of the federal workforce and legislative alterations to the tax code have played their part, it is the Trump Administration’s refusal to administer the spending laws enacted by prior Congresses that has had the most disruptive and …

The International Order, International Law, And The Definition Of Security, Harlan G. Cohen

Faculty Scholarship

As economic security has seemingly moved to the center of American and European foreign policy, both the United States and the European Union have broadened their interpretation of international law rules governing security, coercion, and intervention. But these interpretations are not exactly new, echoing developing state interpretations of international law that developed states had long ago seemingly rejected. How are these once moribund interpretations of security, force, and coercion being brought back to life?

This article argues that these interpretative shifts highlight the role of the international order as an interpretative mechanism within international law. Borrowing from the work of …

The Law Of For Cause Removal, Jane Manners, Lev Menand

Faculty Scholarship

For the first time in American history, the Supreme Court is poised to decide what it means for the president to remove a principal officer “for cause.” The case — which arises from the attempted removal of Lisa Cook, a member of the Board of Governors of the Federal Reserve System — has major implications for central bank independence in the United States and, more broadly, for the U.S. administrative state. But given how long it has been since such offices were formally contested, courts and commentators have forgotten many aspects of the legal tradition governing “for cause” removal. In …

Silencing As Blackening, I. Bennett Capers

Faculty Scholarship

We are so accustomed to seeing defendants sit silently at criminal trials while their lawyers speak that we hardly question it. Or we tell ourselves this silence is for their own protection, part of their privilege against self-incrimination and the rules we have created for their own benefit. But what if we've gotten everything wrong? What if encouraging defendants to remain silent does not inure to their benefit at all, but to the State's? And what if this silencing is tied to race? "Silencing as Blackening" tells a fuller story about silent defendants. One, that this silence is rarely voluntary, …

Book Review Of Political And Social Control In China: The Consolidation Of Single-Party Rule, Carl F. Minzner

Faculty Scholarship

No abstract provided.

Effect Of Antipsychotic Medication Use And Type On Mortality And Cardiovascular Risks In Nursing Home Patients With Dementia, Hamid R. Okhravi, Fang Fang, Melissa P. Hunter, Brynn E. Sheehan

Glennan Center for Geriatrics and Gerontology Faculty Publications

Introduction

Antipsychotic medication (APM) use in nursing home (NH) patients with dementia is common but carries risks. This study assessed the association between APM use and mortality, stroke, and myocardial infarction (MI) compared to non-use, as well as differences between first- and second-generation APMs.

Methods

A serial cross-sectional study using Medicare data examined outcomes from 2012 to 2015 in a national sample of 328,138 US NH residents aged 50 and older with dementia. Multivariate logistic regressions were used to analyze risk.

Results

APM use was associated with increased mortality in all years (odds ratio [OR] range: 2.39 to 1.23, all …

Medical Image Feature Extraction And Selection Based On Inception V3 And Gini Index For Cervical Cancer Cells Identification, Rachida Assawab, Mounir Ouzir, Badreddine Benyacoub, Abderrahim Electrochemical Sensor For Tenofovir Allati, Ismail El Moudden

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Background: Cervical cancer remains the fourth most common cancer in women globally, with 604,000 new cases annually. Early detection through cytological screening is critical, but manual interpretation suffers from high false negative rates and requires expert pathologists often unavailable in resource-limited settings.

Methods: We developed a novel hybrid framework combining InceptionV3-based deep feature extraction with Gini Index feature selection for automated cervical cancer cell classification. Using the Herlev dataset (917 Pap smear images: 242 normal, 675 abnormal), we extracted 2048 deep features and applied systematic feature selection to identify optimal discriminative subsets. Comprehensive clustering analysis (K-means, K-medoid, Fuzzy clustering) validated …

Welcome From The Editor, Joshua E. Young

Iowa Journal of Communication

No abstract provided.