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Articles 47851 - 47880 of 48987
Full-Text Articles in Entire DC Network
Ai Bots As Law Teachers: What Is Left For Human Professors To Do?, Harold I. Abramson
Ai Bots As Law Teachers: What Is Left For Human Professors To Do?, Harold I. Abramson
Scholarly Works
This article considers what bots can do as AI law teachers, how students are already using bots for learning, how to integrate the use of AI into law courses, and what faculty can do to stay ahead of the bots in their classrooms. During this discussion, the article confronts the existential question of what is left for human law professors to do in an AI world. It concludes that there is a future for humans for now, and one that might make us better teachers.
A Survivor's Tale: How The Northern And Eastern Districts Of Oklahoma Survived The Tidal Wave Collision Of Mcgirt V. Oklahoma, Darbi E. Robertson
A Survivor's Tale: How The Northern And Eastern Districts Of Oklahoma Survived The Tidal Wave Collision Of Mcgirt V. Oklahoma, Darbi E. Robertson
American Indian Law Review
No abstract provided.
Winner, Best Appellate Brief In The 2024 Native American Law Student Association Moot Court Competition, Molly Gunther, Kevin Burdet
Winner, Best Appellate Brief In The 2024 Native American Law Student Association Moot Court Competition, Molly Gunther, Kevin Burdet
American Indian Law Review
No abstract provided.
The Bad Man’S Hourglass: Extending The Clock On Justice, Liv G. Cummins
The Bad Man’S Hourglass: Extending The Clock On Justice, Liv G. Cummins
American Indian Law Review
No abstract provided.
With Religious Freedom Came Religious Authority: Apache Stronghold V. United States And The Exclusion Of Native American Religion Within The Legal Understanding Of Religious Freedom, Cassidy Beck
American Indian Law Review
No abstract provided.
When Tribal Sovereign Immunity And The Americans With Disabilities Act Collide, Who Wins?, Baylee M. Ogle
When Tribal Sovereign Immunity And The Americans With Disabilities Act Collide, Who Wins?, Baylee M. Ogle
American Indian Law Review
No abstract provided.
Native Gifts In An Electric Universe: Exploring Tribal Sovereignty Through Digital Data, Spectrum, And Technological Imaginings, Michael Johnson
Native Gifts In An Electric Universe: Exploring Tribal Sovereignty Through Digital Data, Spectrum, And Technological Imaginings, Michael Johnson
American Indian Law Review
No abstract provided.
Becerra V. San Carlos Apache Tribe And The Indian Self Determination & Education Assistance Act: Keeping Indian Health Services Responsible In The Wake Of Forced Sterilizations, Alexis K. O’Brien
American Indian Law Review
No abstract provided.
Tribal Civil Jurisdiction: Lexington V. Smith And The Evolution Of The Montana Framework, Will Speed
Tribal Civil Jurisdiction: Lexington V. Smith And The Evolution Of The Montana Framework, Will Speed
American Indian Law Review
No abstract provided.
The Trademark Bargain: Registration As Disclosure, Dustin Marlan
The Trademark Bargain: Registration As Disclosure, Dustin Marlan
Faculty Publications
This Article highlights the central—and under-theorized—role that disclosure plays within trademark law. By loose analogy, the patent disclosure requirement is a cornerstone of patent law, embodying the “patent bargain” where an inventor must disclose their invention in exchange for a twenty-year monopoly. This quid pro quo is believed to stimulate the progress of science and technology, making patent disclosure the very pulse of the patent regime. However, the fundamental importance of disclosure in trademark law remains underexplored. Like patents, trademark law imposes a rigorous bargain—to obtain the enhanced rights granted by federal registration, trademark owners must first make significant disclosures …
The Hope Industrial Complex: Resisting Manufactured And False Hope With Critical Hope In Peace Education, Thailand's Refugee Context, Staci B. Martin, Hayso Thako, Rey Ty, Sudarat Tuntivivat, Rattanak Ly
The Hope Industrial Complex: Resisting Manufactured And False Hope With Critical Hope In Peace Education, Thailand's Refugee Context, Staci B. Martin, Hayso Thako, Rey Ty, Sudarat Tuntivivat, Rattanak Ly
School of Social Work Faculty Publications and Presentations
Our Point of Departure (POD) argues that the type of hope fostered within the Karen refugee community in Thailand – manufactured, false, or critical – shapes the impact of peace-building and higher education efforts. Through a dialogue among a Karen scholar, his supervisor, and a migration researcher, we demonstrate that manufactured hope, often driven by external aid, sustains dependency and overlooks core conflicts. In contrast, false hope arises from the gap between student desires and institutional barriers, leading to unmet expectations. We aim to show that by applying critical hope, the pedagogical approach enables the Karen community to enhance its …
From Fit To At-Risk: Latent Profiles Of Health And Behavior Among First-Year Mexican American College Students, Soyoung Kwon, Shannon Shen, Jieming Chen, Soojin Yoo, Boram Lim, Sukho Lee
From Fit To At-Risk: Latent Profiles Of Health And Behavior Among First-Year Mexican American College Students, Soyoung Kwon, Shannon Shen, Jieming Chen, Soojin Yoo, Boram Lim, Sukho Lee
Health & Human Performance Faculty Publications
The first year of college is pivotal for establishing lifelong health habits, yet many Mexican American students experience challenges during this transition. Using data from 285 first-year students at three Hispanic-Serving Institutions in Texas, we performed latent profile analysis (LPA) to explore groups of behavioral and physical health indicators. Four profiles were identified: (1) Moderate Risk Behavior—healthy body composition but high intake of alcohol and fast-food; (2) Multidimensional High Risk—poor sleep, high body fat, and high substance use; (3) Health-Optimal Active—active lifestyle, low-risk behaviors, and good sleep quality; and (4) Physically Inactive but Lean —low activity with lean body composition …
Women And Magic In Medieval Romance: Genre, Intertextuality, And Power, By Jane Bonsall, Melissa Elmes
Women And Magic In Medieval Romance: Genre, Intertextuality, And Power, By Jane Bonsall, Melissa Elmes
Medieval Feminist Forum: A Journal of Gender and Sexuality
No abstract provided.
White Before Whiteness In The Late Middle Ages, By Wan-Chuan Kao, Thelma Trujillo
White Before Whiteness In The Late Middle Ages, By Wan-Chuan Kao, Thelma Trujillo
Medieval Feminist Forum: A Journal of Gender and Sexuality
No abstract provided.
Trade Policy Measures And Quality Infrastructure In The Ecowas: Investigating The Inclusiveness Of The Intra-Regional Agri-Food Trade, Olayinka Idowu Kareem, Christine Wieck
Trade Policy Measures And Quality Infrastructure In The Ecowas: Investigating The Inclusiveness Of The Intra-Regional Agri-Food Trade, Olayinka Idowu Kareem, Christine Wieck
Journal of African Trade
The preponderance and heterogeneous trade policy measures and quality infrastructure deficiency impact agri-food trade inclusiveness in the ECOWAS. Moreover, the inappropriate activities of some border institutions such as harassment (especially for women), graft and different charges made trading along illegal trade corridors inevitable which thereby enhances the nefarious rent-seeking activities. Furthermore, the knowledge frontier in this area is extended with the exploration and exposition of the issue of trade-related quality infrastructure. Hence, this study determines the consequences of the trade policy measures and quality infrastructure on intra-regional agri-food trade inclusiveness in the ECOWAS with a consideration of the impact on …
Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid
Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid
All Works
Balancing energy efficiency with stringent timing guarantees in real-time mixed-criticality systems (MCS) is a key challenge, especially in multicore architectures. This paper introduces a novel energy-aware scheduling framework that integrates dynamic voltage and frequency scaling (DVFS) with a Decreasing-Criticality-Decreasing-Utilization (DCDU) allocation approach. The optimal operating frequencies are obtained at each criticality level; high-criticality tasks are assigned to cores at full operating frequency to maintain timing guarantees, while low-criticality tasks are allocated using worst-case execution times scaled to their optimal frequency. A fixed-priority response-time analysis is used for schedulability in low mode, high mode, and during mode changes. The extensive simulations …
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
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
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
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 …
Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens
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 …
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
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
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
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
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 …
Patient Characteristics, Growth Indices, And Treatment Outcomes Among Children With Feeding Difficulties, Amelia Kearney
Patient Characteristics, Growth Indices, And Treatment Outcomes Among Children With Feeding Difficulties, Amelia Kearney
Theses, Dissertations and Culminating Projects
Pediatric feeding difficulties is an umbrella term that is used to describe children with a variety of problematic feeding behaviors and/or mealtime impairments that can impact age-appropriate food consumption, growth and the caregiver-child relationship. There is a lack of research from nutrition professionals regarding the nutrient intake, diet quality and growth outcomes among patients with pediatric feeding difficulties. Furthermore, changes in nutrient intakes during intensive outpatient treatment have not been formally assessed. PURPOSE: The purpose of Manuscript 1 was to describe the demographic profile, medical history, and baseline mealtime behaviors, usual diet, and diet quality of patients with feeding difficulties …
Per My Last Email: Analyzing Social & Emotional Cues In Digital Workplace Communication, Lauren Hunt
Per My Last Email: Analyzing Social & Emotional Cues In Digital Workplace Communication, Lauren Hunt
Theses, Dissertations and Culminating Projects
As virtual work arrangements expand and email becomes an increasingly central workplace communication tool, the function of virtual communication norms provide valuable insight into workplace email dynamics. This study draws from social information processing theory, expectancy violations theory, and channel expansion theory to model how behavioral and linguistic features associated with virtual communication norms shape email perceptions and downstream conflict. The present research examines key communication features from real workplace email threads. Specifically, I extracted response time, sentiment, and linguistic mimicry (e.g., text length, word use), using Natural Language Processing techniques. Data was collected from 461 participants, resulting in 245 …
The Influence Of Social Connectedness And Adverse Childhood Experiences: Understanding Motivation To Change In Early Substance Use Disorder Recovery, Adam M. Daniel
Theses, Dissertations and Culminating Projects
Substance use disorder is a significant issue facing society today. As the rate of individuals with substance use disorders continues to rise, so too does the need of the counseling profession to explore further the ways to best support this population. The purpose of this study was to explore two specific variables for their impact on motivation to change for individuals in early recovery: social connectedness and adverse childhood experiences. Grounded in the Process-Person-Context-Time model, this study focused on the ways in which an individual’s motivation to change in early sobriety relates to their sense of connectedness to their family …
Holistic Stormwater Management In The Bound Brook River Basin, New Jersey, Sana Mirza
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
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 …
Exploring Vocal Fatigue In Female Singers, Cory M. Pinto
Exploring Vocal Fatigue In Female Singers, Cory M. Pinto
Theses, Dissertations and Culminating Projects
Vocal fatigue is a complex issue that may signal underlying vocal pathology or exist independently, especially among professional voice users such as singers, whose high vocal demands make them particularly susceptible. This dissertation investigates vocal fatigue in young adult female singers using both objective and subjective voice assessment measures during a novel vocal loading task. Key research questions addressed in this dissertation are as follows: (1) Which voice assessment measures demonstrate significant change over time in response to vocal loading? (2) which Participant Profile Characteristics most accurately predict changes in perceived vocal fatigue severity? (3) In what ways do symptom …