Digital Commons Network^™

Trauma-Focused Justice: Recognizing Systemic Trauma, Samantha Buckingham

University of Arkansas at Little Rock Law Review

No abstract provided.

Corporate Law—An Introduction To Digital Assets And A Summary Of The 2022 Amendments To The Uniform Commercial Code, David Gardner

University of Arkansas at Little Rock Law Review

No abstract provided.

Trauma-Informed Justice, Todd J. Clark, Caleb Gregory Conrad, Andre Douglas Pond Cummings, Amy Dunn Johnson

University of Arkansas at Little Rock Law Review

No abstract provided.

Taxation Of Information And The Data Revolution, Yariv Brauner

UF Law Faculty Publications

Existing and universal income tax rules are inherently incompatible with an economy in which information-based transactions play a significant role. This Article contends that income taxation is incapable of taxing information effectively. It goes on to argue that this incapability currently necessitates reform, and it offers three viable paths to such reform: consumption taxation, data taxes, and formulary taxation. The Article concludes that formulary taxation is currently the most desirable and plausible path to effective reform, owing to its promise to best stabilize and maintain the legitimacy of the international tax regime.

React: Recognize Every Action Everywhere All At Once, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

In the realm of computer vision, Group Activity Recognition (GAR) plays a vital role, finding applications in sports video analysis, surveillance, and social scene understanding. This paper introduces Recognize Every Action Everywhere All At Once (REACT), a novel architecture designed to model complex contextual relationships within videos. REACT leverages advanced transformer-based models for encoding intricate contextual relationships, enhancing understanding of group dynamics. Integrated Vision-Language Encoding facilitates efficient capture of spatiotemporal interactions and multi-modal information, enabling comprehensive scene understanding. The model’s precise action localization refines joint understanding of text and video data, enabling precise bounding box retrieval and …

Explaining The Comprehensive Immigration Reform Stalemate In Congress, Maryam T. Stevenson

Catholic University Law Review

Historically, congressional policy goals on immigration have vacillated from open to restrictive as various micro and macro level factors have changed both inside and outside the Beltway. While Congress has been subjected to some immigration lobbies over time, it has largely been isolated from a general public opinion on immigration policy until fairly recently. Specifically, while Congress was successful at passing a variety of immigration policies through 1990 without much regard to public opinion, it has since failed even amid bipartisan congressional and presidential support. This article will offer a number of theories in order to explain why Congress has …

Coin Center V. Yellen Prompts Reconsideration Of The Vast Deference Afforded To The Department Of The Treasury, Emily Arterbury

Catholic University Law Review

This Comment examines the legal implications of the sanctions issued by the Department of the Treasury’s Office of Foreign Asset Control against Tornado Cash, an application that enables user privacy protection in transactions on the Ethereum blockchain. With the rapid expansion of the digital asset revolution, policymakers remained puzzled as to how to best establish a regulatory scheme that protects consumers without chilling innovation and investment in the digital asset market. The Office of Foreign Assets Control’s issuance of sanctions against Tornado Cash was an attempt to regulate an extremely volatile and unpredictable market. These sanctions prohibited all licit activity …

Dude, Where’S My Data? A Legislative Band-Aid For Data Brokers’ Bullet Hole In Consumer Privacy Protection, Emily Bushman

Catholic University Law Review

The development and proliferation of the Internet, GPS, cell phones, social media, and the associated data that support these now ubiquitous technologies have created a new ecosystem of information making up a person’s digital identity. Our digital footprints have traditionally been subject to different levels of privacy protection depending upon the kind of data at issue. Over time, court decisions have revealed tensions and a lack of consistency on the question of how the protections guaranteed by the Fourth Amendment apply to an individual’s digital footprint and their reasonable expectations of privacy over it. This Comment will examine the gaps …

Enhancing Adult Learner Success In Higher Education Through Decision Tree Models: A Machine Learning Approach, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

This article explores the use of machine learning, specifically Classification and Regression Trees (CART), to address the unique challenges faced by adult learners in higher education. These learners confront socio-cultural, economic, and institutional hurdles, such as stereotypes, financial constraints, and systemic inefficiencies. The study utilizes decision tree models to evaluate their effectiveness in predicting graduation outcomes, which helps in formulating tailored educational strategies. The research analyzed a comprehensive dataset spanning the academic years 2013–2014 to 2021–2022, evaluating the predictive accuracy of CART models using precision, recall, and F1 score. Findings indicate that attendance, age, and Pell Grant eligibility are key …

Evaluation Of A Team-Based Model Of Nursing Care In The Acute Care Setting, Vanetta W. White

Doctor of Nursing Practice Scholarly Projects

Problem: The current nursing shortage is much different than the ones we have experienced in previous years. It is predicted that it will have long-lasting effects. With this shortage of nurses, especially in the acute care setting, alternative methods to deliver patient care beyond the current use of primary care models need to be explored. These alternative models of care which include team-based nursing must maintain quality and safety for patients cared for.

Purpose: This project will evaluate the outcomes of returning to a team-based nursing model of care on a medical-surgical unit while continuing to provide safe, quality care …

Implementing The 5a’S Of Obesity Management In Primary Care, Holly H. Rowell

Doctor of Nursing Practice Scholarly Projects

Problem Statement: The prevalence of obesity continues to increase globally, with greater prevalence in the southern United States, resulting in higher costs to the healthcare system and greater risks for the development of other chronic diseases. Purpose: Determine if implementing the 5A’s of Obesity Management among primary care providers in a rural, low-income healthcare setting will increase the diagnosis of obesity and result in a subsequent decrease in weight among patients who are obese. Methods: An educational session was held to familiarize providers with the 5A’s of Obesity Management and the importance of obtaining and documenting proper height …

Impact Of Hydrogen Peroxide Wipes Disinfecting Clostridioides Difficle On High-Touch Surfaces, Tyler Wolf Ramirez

Doctor of Nursing Practice Scholarly Projects

Clostridioides difficile is the leading cause of nosocomial diarrheas worldwide (Centers for Disease Prevention and Control [CDC], 2022). 15% of all hospitalized patients in the United States develop antibiotic-associated diarrhea (AAD), with 15-25% of cases caused by C. difficile (CDC, 2022). C. difficile costs the United States Healthcare system $5.4-6.3 billion annually (Balsells et al., 2019). The project’s purpose was to see if implementing hydrogen peroxide (H2O2) wipes using an interprofessional team leads to the following expected outcome(s): reduction in hospital-acquired C. difficile infections and comparable disinfection rates to sodium hypochlorite. An interprofessional team consisting of the primary lead, Clinical …

Assessing Readiness To Quit As An Intervention For Tobacco Cessation In Oncology Patients, Victoria Gabriela Maddox

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Smoking and tobacco use is the leading cause of preventable death in the United States. Twenty percent of all cancer diagnoses are directly linked to smoking, and tobacco-related diseases and cancers contribute to one in every five deaths annually in the United States. Less than one in ten smokers are successful at quitting. Smokers attempting to quit are more successful in cessation programs after evaluation of self-efficacy, such as the readiness to quit.

Purpose: This evidence-based practice project aimed to evaluate the impact of motivational interviewing with the 5A’s model on smoking cessation efforts in patients at an …

Use Of An Audit And Feedback Tool And Sglt-2 Inhibitors To Delay Progression Of Chronic Kidney Disease, Megan Elaine Lanpher

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Adults with Type 2 diabetes mellitus and chronic kidney disease experience a higher risk for progression to end-stage kidney disease, which negatively impacts health, increases medical costs, and decreases quality of life. Purpose: Determine if an audit and feedback intervention in a local nephrology clinic can increase provider adherence to a clinical practice guideline that supports the prescription of sodium glucose cotransporter-2 (SGLT-2) inhibitors. Methods: A pretest-posttest design was used to determine if an audit and feedback tool delivered to providers at three-week intervals would increase prescription of SGLT-2 inhibitors in adults with Type 2 diabetes and chronic …

Using Visual Thinking Strategies To Increase Empathy Levels In Inpatient Psychiatric Nurses: A Quality Improvement Project, Katharine E. Harding

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Research indicates that empathy is declining in today’s behavioral health nursing workforce. Purpose: The aim of this quality improvement project was to apply an evidence-based Visual Thinking Strategies intervention to the clinical problem and increase empathy levels from pre-survey measurement among psychiatric nurses. Method: VTS methodology was employed through in-person interviews where participants viewed art-based images pertaining to mental health. Feedback from semi-structured questions was shared among participants. Pre and post-test interventional quantitative data via The Jefferson Scale of Empathy-Health Provider version (JSE-HP) and The Interpersonal Reactivity Index (IRI) instruments were collected. Inclusion Criteria: Participants were voluntarily recruited …

Variation And Adaptation In Guppies And Gambusia, Alan L. Gillen, Anna Collins

Faculty Publications and Presentations

The guppy fish is considered by many to be a symbol of fertility, renewal, and growth. Gambusia are likely relatives of guppies and are known as mosquito fish because they largely prey on mosquito larvae. For a century, they have been used locally and globally in mosquito control. Guppies, Endler’s livebearers, and Gambusia are in the Poeciliidae family and freely interbreed in the wild. They are assumed to be in the same baramin or created kind. Their purpose in creation is often associated with harmony, balance, and abundance. It appears that the Poeciliidae family was designed with an array of …

Derivative Propagation Through Vortex Particle Method Simulation, Eric Green, Andrew Ning

Faculty Publications

Automatic differentiation (AD) is a powerful tool for evaluating numerical derivatives. In particular, reverse-mode AD provides numerical gradients in a way that is insensitive to the number of input variables. This makes reverse-mode AD well-suited for solving large optimization problems. However, reverse-mode AD has a particularly large associated memory cost because most intermediate values in operations need to be cached. This is problematic for large problems such as aerodynamics simulations, though, since the memory requirements can quickly become impractical. The solution implemented in this work is to provide analytic pullback expressions for functions for which many of the intermediate values …

Trajectory Optimization Of Evtol And Conventional Aircraft: A Comparative Analysis Of Vortex Particle Method And Vortex Lattice + Blade Element Momentum Theory, Andrew Tagg, Ryan Anderson, Cibin Joseph, Andrew Ning

Faculty Publications

Trajectory optimization of aircraft transition maneuvers can significantly influence the design of these systems, particularly when making decisions about aircraft geometry, propulsion sizing, and control system design. This paper presents the trajectory optimization of air vehicles including electric vertical takeoff and landing (eVTOL) as well as conventional aircraft. The study evaluates the influence of fidelity in trajectory design by comparing the use of two aerodynamic methods in the context of trajectory optimization. The mid-fidelity method utilizes a vortex lattice method (VLM) to model lifting surfaces while employing blade element momentum theory (BEMT) to model rudimentary rotor-wing interactions. The high-fidelity approach …

Ductape: A Steady-State, Axisymmetric Ducted Fan Analysis Code Designed For Gradient-Based Optimization, Judd Mehr, Andrew Ning

Faculty Publications

Electric ducted fans have become an intriguing option for the propulsion systems of clean, quiet advanced air mobility technologies due to their potential benefits in both aerodynamic efficiency and reduced noise profiles compared to open rotor systems. Exploration of conceptual electric ducted fan design in the context of novel, and often complex, applications may be greatly aided by the use of optimization techniques. Specifically, gradient-based optimization lends itself to the exploration of large, complex, multi-disciplinary systems due to its inherent scalability. Despite ducted fans/propellers having been relatively well studied for the last century, modern, gradient-based, optimization-ready analysis tools for ducted …

Aerocom: Summer 2024, John D. Odegard School Of Aerospace Sciences

Aerocom: John D. Odegard School of Aerospace Sciences Alumni Magazine

No abstract provided.

Evaluating The Efficacy Of A Passive Exoskeleton For Enhancing Ergonomics In Manufacturing, Fatemeh Davoudi Kakhki, Armin Moghadam, Arnold Nieto, Hardik Vora

Faculty Research, Scholarly, and Creative Activity

Featured Application: This study explores the integration of an occupational passive back-support exoskeleton in manufacturing, demonstrating its potential to reduce physical discomfort and physical exertion and enhance ergonomic practices. It highlights the role of the exoskeleton as a proactive tool for improving occupational health and safety in industrial settings. Manual material handling (MMH) significantly impacts worker health and productivity, often leading to musculoskeletal disorders (MSDs) primarily in the lower back. As a novel assistive technology, exoskeletons may serve as ergonomic tools to mitigate these work-related MSDs. It is essential to examine exoskeletons from the users’ perspectives before their widespread implementation …

The Modeled Seasonal Cycles Of Surface N2o Fluxes And Atmospheric N2o, Qing Sun, Fortunat Joos, Sebastian Lienert, Sarah Berthet, Dustin Carroll, Cheng Gong, Akihiko Ito, Atul K. Jain, Sian Kou-Giesbrecht, Angela Landolfi, Manfredi Manizza, Naiqing Pan, Michael Prather, Pierre Regnier, Laure Resplandy, Roland Séférian, Hao Shi, Parvadha Suntharalingam, Rona L. Thompson

Faculty Research, Scholarly, and Creative Activity

Nitrous oxide (N2O) is a greenhouse gas and stratospheric ozone-depleting substance with large and growing anthropogenic emissions. Previous studies identified the influx of N2O-depleted air from the stratosphere to partly cause the seasonality in tropospheric N2O (aN2O), but other contributions remain unclear. Here, we combine surface fluxes from eight land and four ocean models from phase 2 of the Nitrogen/N2O Model Intercomparison Project with tropospheric transport modeling to simulate aN2O at eight remote air sampling sites for modern and pre-industrial periods. Models show general agreement on the seasonal phasing of zonal-average N2O fluxes for most sites, but seasonal peak-to-peak amplitudes …

Targeting Histone Deacetylase 6 (Hdac6) To Enhance Radiation Therapy In Meningiomas In A 2d And 3d In Vitro Study, Juri Na, Shahana Shaji, C. Oliver Hanemann

Peninsula Medical School

Background: External radiation therapy (RT) is often a primary treatment for inoperable meningiomas in the absence of established chemotherapy. Histone deacetylase 6 (HDAC6) overexpression, commonly found in cancer, is acknowledged as a driver of cellular growth, and inhibiting HDACs holds promise in improving radiotherapeutic efficacy. Downregulation of HDAC6 facilitates the degradation of β-catenin. This protein is a key element in the Wnt/β-catenin signalling pathway, contributing to the progression of meningiomas. Methods: In order to elucidate the associations and therapeutic potential of HDAC6 inhibitors (HDAC6i) in conjunction with RT, we administered Cay10603, HDAC6i, to both immortalised and patient-derived meningioma cells prior …

What Is Known About The Use Of Weight Loss Medication In Women With Overweight/Obesity On Fertility And Reproductive Health Outcomes? A Scoping Review, Kate Maslin, Rabab Alkutbe, Jeremy Gilbert, Jonathan Pinkney, Jill Shawe

School of Nursing and Midwifery

SummaryPregnancy during or soon after treatment with weight loss medication, particularly glucagon-like peptide-1 receptor agonists (GLP-1 RAs), is contraindicated due to potential teratogenicity. The aim of this scoping review is to investigate what is known about the use of weight loss medication in women of childbearing age in relation to reproductive health outcomes, focusing on the three medications licenced in the United Kingdom at the time of the search. A systematic search of studies that assessed reproductive health outcomes in women taking either orlistat, liraglutide or semaglutide was undertaken in July 2023 and updated in January 2024 across MEDLINE, Embase, …

Menstrual Hygiene Amongst School Girls: Still A Messy Business, Naghma Rizvi, Saleema A. Gulzar, Tazeen S. Ali, Syeda Aleena Fazal, Alishah Aziz Gulzar, Yasmin Parpio, Rimsha Hirani

Journal of Asian Midwives (JAM)

Background: Menstruation has become a taboo topic among adolescent females, affecting their reproductive health, particularly in more traditional South Asian nations such as Pakistan. The study highlights the societal silence surrounds menstruation, which leads to detrimental practices and attitudes among school-age females. The study reveals the sociocultural, psychological, and educational challenges that teenagers encounter. The presence of myths and misconceptions adds to unsanitary habits, which undermine education and reproductive health.
Methodology: A descriptive cross-sectional study was conducted in urban Karachi. The participants were 850 unmarried school-going female adolescents aged 13 to 19. The data were collected using a pre-coded questionnaire. …

Use Of Social Media For Receiving Professional Support In Enhancing Mothers’ Lactation Self-Efficacy, Mehtab Lalwani, Zohra Kurji, Salma Rattani, Zahra Shaheen, Hussain Maqbool Ahmed Khuwaja, Shabina Ariff

Journal of Asian Midwives (JAM)

Background: Insufficient support for breastfeeding and limited exclusive breastfeeding rates emphasize the need for high-impact approaches to enhance maternal confidence in lactation. Social media has emerged as a promising platform for professional support and information dissemination in this context. This review aims to examine the role of social media in providing professional lactation support to mothers in enhancing their lactation self-efficacy.
Method: Employing PRISMA guidelines, the review sought relevant literature on professional assistance in enhancing breastfeeding self-efficacy. Major databases, including PubMed, CINAHL, Google Scholar, and Science Direct, were meticulously queried using targeted keywords. Every selected article underwent screening for English …

Enhancing Maternal And Fetal Well-Being: Exploring The Determinants Of Preconception Care, Mahak Mehdi Hashim Mehdi Hashim, Nurmeen Anwar Ali

Journal of Asian Midwives (JAM)

Preconception care is the delivery of biomedical, behavioral, and social health interventions to women and couples of reproductive ages. The significance of care is emphasized by the World Health Organization (WHO), as it greatly affects the quality of life of the mother and child. However, the uptake of pre-conception care services in Low and Middle-income countries (LMIC) such as Pakistan is low due to several factors. This discussion paper will identify some of the contextual factors related to the quality of health care services, acceptability due to cultural value beliefs, and affordability that largely influence the utilization of preconception care …

Readability And Suitability Of Local Disaster Preparedness Materials In Predominantly Hispanic Border Communities: A Case Study Of Cameron County, Texas, Katarzyna Sepielak, Dawid K. Wladyka

Sociology Faculty Publications

Community awareness is a key component of disaster resilience and numerous agencies developed a plethora of preparedness materials. Previous studies evaluated national-level resources and social media content indicating that these efforts are not effectively reaching vulnerable populations, as the information is provided at or above the secondary education level. However, the local-specific content has been mostly overlooked in the analyses, subsequently neglecting the needs of areas with specific demographics and hazards, like predominantly Hispanic border communities. Thus, this study turns to local preparedness and mitigation materials, rather than general internet searches or national level documents. We analyze information provided on …

Mitigating Algorithmic Bias: Strategies For Addressing Discrimination In Data, Sonia Gipson Rankin

Faculty Scholarship

This article examines the pervasive issue of algorithmic bias, particularly within large language models (LLMs) and the legal system. It argues that unlike simple programming bugs, these biases are deeply ingrained in the design and training data of artificial intelligence (AI) systems. By understanding the historical roots of bias and its realworld consequence across various sectors, we can develop effective strategies to mitigate its impact and ensure AI serves as a tool for progress. Weaving together historical insights, case studies, and forward-looking recommendations, the article aims to equip legal professionals with the knowledge and tools necessary to lead the charge …

Measuring Branding Variables That Affect The Brand Choice Intention Toward Tourism Destinations In Thailand’S Eastern Coastal Region, Passarin Phalitnonkiat, James Vincent Johnson, Siwaporn Kunnapapdeelert

DLSU Business & Economics Review

A large number of tourists visit Thailand’s eastern coastal regions every year. Brand choice intention is one of the fundamental elements for developing marketing strategies. Therefore, the purposes of this study are to investigate the impact of five brand elements on destination brand loyalty and brand choice intention and to study the relationships among each construct of consumer brand perception by using EFA, CFA, and SEM. A sample of 830 Thai tourists returned paper-based surveys regarding their interests and perceived value. The study found four brand elements that significantly affect brand loyalty and brand choice intention, both directly and indirectly. …