Digital Commons Network^™

Do Adhd Symptoms Enhance College Students’ Creativity And Entrepreneurial Self-Efficacy?, Jorge Sebastian Montesinos

Dissertations and Theses @ UNI

Despite years of research focused on impairment, it is possible that attention deficit/hyperactivity disorder (ADHD) may be beneficial in some ways. Past studies have analyzed ADHD’s potential benefits to creativity and entrepreneurship, but the majority have either been underpowered or have had mixed results. In an attempt to add clarity to these potential ADHD-related strengths, the present study explored the relation between symptoms of ADHD, creative achievement, and entrepreneurial self-efficacy (ESE). The current study was a survey of emerging adult college students from multiple U.S. universities. The purpose of this study was to explore relations between symptoms of ADHD and …

Making The Jump: A Self-Study Of The Implementation Of Gamification And Student Discussion In Middle School Mathematics, John Pauly

Dissertations and Theses @ UNI

Middle school mathematics teaching is a complex practice that incorporates both cognitive and emotional factors (Sen, 2022). Students must have permission to get stuck and unstuck in their thinking while critically considering their approaches (Kapp, 2016), along with opportunities to engage in decision-making, deep reasoning, and discussions about mathematics (Stein et al., 1996). Gamification and game-based learning can place students in an environment where discussion, collaboration and perseverance are highly valued in overcoming challenges and achieving common goals (Kapp, 2016).

This qualitative self-study reflects on the journey of John Pauly, a middle school mathematics teacher, told through his experiences and …

Parting The Corn Rows: Nikita Khrushchev’S Visit To Iowa, 1959, Jordan Stiles

Dissertations and Theses @ UNI

On September 23, 1959, Soviet leader Nikita Khrushchev visited Roswell Garst to inspect US hybrid corn and agricultural methods. Khrushchev’s initial reforms are discussed to show why Khrushchev sought agricultural knowledge abroad. The details of Khrushchev’s and Garst’s life regarding their work in agriculture are explored up to the visit. The visit would leave an indelible mark on the USSR and Iowa. Khrushchev and his successors would use Garst’s model for hybrid corn farming as the template for Soviet farming. Garst would use his limelight to catapult his corn diplomacy into action around the world. Lastly, the legacy of Khrushchev’s …

When Open-Source Information Backfires: Satellite Imagery And Privacy Breaches, Matin Pedram, Siena Chandler, Eugenia Georgiades

Vanderbilt Journal of Transnational Law

No abstract provided.

Exploring The Adoption, Perceptions, And Opportunities Of Artificial Intelligence Among Registered Dietitians In The United States, Hong Liu, Mariana Tadros, Edward Bitok, Liang Ji

Loma Linda University Research Reports

Artificial Intelligence (AI) is reshaping healthcare, yet its integration into nutrition and dietetics remains underexplored. This study investigates the adoption, perceptions, and opportunities related to AI technologies among Registered Dietitian Nutritionists (RDNs) in the United States. Our survey was opened in April 2025 and is still ongoing, having gathered responses from over 70 RDNs. Findings reveal that while 58% of RDNs report some familiarity with AI, only 13% consider themselves very or extremely familiar. Attitudes toward AI are generally positive, with 56% viewing AI’s impact on dietetics as positive and 70% believing it could at least moderately improve patient outcomes. …

Actinic Keratosis Treatment By Fractional Ablative Co2 Laser Medical City Teaching Hospital Baghdad, Iraq., Huda Gatea, Hayder Al-Hamamy

Iraqi Postgraduate Medical Journal

Background: Actinic keratoses are precancerous lesions related to excessive ultraviolet exposure, representing an emerging issue around skin diseases. They have a potential risk for developing squamous cell carcinoma and present cosmetic problems.Objective: To evaluate the effectiveness and side effects of Fractional Ablative CO2 laser in treating AKs.Patients and Methods: This interventional study was performed in Baghdad Dermatology Center from February 2022 to October 2023. Any patient with actinic keratosis lesion consulting the centre was included in the study. A thorough history was taken regarding the duration, symptoms, history of SCC, occupation (indoor or outdoor), medical illnesses and drug history. Lesions …

Late Effects Of Transsphenoidal/ Trans-Nasal Endoscopic Resection Of Pituitary Macro-Adenoma And Gamma Knife Radiosurgery On Tumour Outcome, Rasha Alshakarchy, Yasir Hamandi

Iraqi Postgraduate Medical Journal

AbstractObjectives: evaluate late outcomes after transsphenoidal endoscopic resection and post stereotactic gamma knife radiosurgery on pituitary macroadenomas in terms of clinical features and radiological response.Methods: This study was conducted at Ghazi Al-Hariri hospital for surgical specialties and Saad Al-Witry neuroscience teaching hospital in the period extended from January 2020 to January 2023. The study included a total number of 113 cases. Results: Total tumour volume reduction to a normal gland size was achieved in 42 cases out of the total patient number (37%) (All of which were of the transsphenoidal group), small tumour residual was found in 37 cases (33%) …

Soluble Vascular Cell Adhesion Molecule-1(Svacm-1) In Hemophilic Arthropathy, Shahad Abdulrahman, Abeer Ahmed

Iraqi Postgraduate Medical Journal

Background: Hemophilic arthropathy is the most common chronic complication in individuals with hemophilia, leading to significant joint damage and reduced quality of life. It shares inflammatory characteristics with rheumatoid arthritis (RA), prompting interest in biomarkers like soluble vascular cell adhesion molecule-1 (sVCAM-1), which is known to be elevated in RA and other inflammatory conditions. This study aimed to explore the clinical relevance of sVCAM-1 as a potential biomarker in hemophilic arthropathy. Aims: To estimate plasma levels of sVCAM-1 in hemophilia patients compared to healthy controls. To compare sVCAM-1 levels between hemophilia patients with and without arthropathy. To correlate sVCAM-1 levels …

Representative National Survey On Drug Use During The Covid-19 Stay-At-Home Order In The Usa, Soo-Hoon Lee, Bernadette Cullen, Alidon Athey, Calliope Holingue, Michelle R. Kaufman, Paul Nestadt, Jack Samuels, Tracy Vannorsdall, Phillip Phan

Management Faculty Publications

Objectives This study explores the drug use behaviour in the US general population in the early days of the COVID-19 pandemic with a focus on the relationship between sociopsychological factors, mobility restrictions from March to June 2020 and mental health conditions.

Design A retrospective anonymous online survey representing a cross-section of the US population in 2020.

Setting A qualified panel of 500 000 Qualtrics participants stratified by gender, race, age and geographical region to represent the US population.

Participants 3340 participants voluntarily consented to respond.

Measures Outcome measure for illicit and non-medical use of prescription drugs based on the National …

A Different Risk-Return Relationship, Aydin Selim Oksoy, Matthew R. Farrell, Shaomin Li

Management Faculty Publications

We challenge the widely accepted premise that the valuation of an early-stage firm is simply the capital invested (USD) divided by the equity received (%). Instead, we argue that this calculation determines the break-even point for the investor; for example, investing USD 1.0 in exchange for a 10% equity sets a firm-level free cash flow target of USD 10.0, resulting in a 0% return for the investor. The design of our study is that of a descriptive analysis of the phenomenon, based on three assumptions: that angel investing is a two-issue negotiation, that negotiation positions are communicated sequentially from capital …

Not Exactly "Perfect," But Pretty Darn Good: A Review Of Michael Schur's Book- How To Be Perfect: The Correct Answer To Every Moral Question, Justin Pepe

Management Faculty Publications

How to Be Perfect: The Correct Answer to Every Moral Question provides a quick-start guide to addressing ethical challenges by using humor to make complex philosophical concepts accessible. Based on the premise that traditional ethics pedagogy is often stodgy, esoteric, and depressing, the book appeals to students and professionals who find conventional texts unapproachable. By blending humor with moral philosophy, it offers a fresh way to develop ethical reasoning in students and employees. This book can help address the urgent need for managers and professionals to build the ethical capabilities necessary to tackle grand challenges.

Problem-Centered Post-Secondary Computer Science Education: A Study Of The Private Artificial Intelligence Curriculum, Golnoush Haddadian, Prajwal Panzade, Daniel Takabi, Min Kyu Kim

School of Cybersecurity Faculty Publications

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students’ evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a mix of undergraduates and graduates, were recruited and a scaled-down version of the curriculum was implemented. A parallel mixed-methods approach was employed. The results reinforced the significance of problem-centered curricula in CS context. Students rated the curricular activities highly and demonstrated strong motivation; however, graduates expressed more favorable view of …

Security Enhancement In Uav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar

School of Cybersecurity Faculty Publications

As cyber-physical systems (CPSs) increasingly integrate physical and digital realms, securing critical infrastructure, such as the Port of Virginia, becomes paramount. Among CPSs, Unmanned Aerial Vehicles (UAVs) are vital for monitoring, communication, and supporting the command and control through remote reconnaissance and surveillance missions. These UAV applications often require coordination, planning, and runtime reconfiguration, traditionally managed by human decision-makers. However, this approach has limitations, as extensively documented in the literature. Artificial Intelligence (AI) has emerged as a pivotal tool to address these limitations, enhancing risk mitigation and informed decision-making. This research proposes a machine learning (ML) based security mechanism, leveraging …

Security Enhancement In Aav Swarms: A Case Study Using Federated Learning And Shap Analysis, Sushmitha Halli Sudhakara, Lida Haghnegahdar

School of Cybersecurity Faculty Publications

As cyber-physical systems (CPSs) increasingly integrate physical and digital realms, securing critical infrastructure, such as the Port of Virginia, becomes paramount. Among CPSs, Autonomous Aerial Vehicles (AAVs) are vital for monitoring, communication, and supporting the command and control through remote reconnaissance and surveillance missions. These AAV applications often require coordination, planning, and runtime reconfiguration, traditionally managed by human decision-makers. However, this approach has limitations, as extensively documented in the literature. Artificial Intelligence (AI) has emerged as a pivotal tool to address these limitations, enhancing risk mitigation and informed decision-making. This research proposes a machine learning (ML) based security mechanism, leveraging …

Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory, Ange-Lionel Toba, Sameer Kulkarni, Wael Khallouli, Timothy Pennington

School of Cybersecurity Faculty Publications

Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity across the nation and improve mobility. Reaching these characteristics demands good traffic volume prediction methods, not only in the short term but also in the long term, which helps design transportation strategies and road planning. However, most of the research has focused on short-term prediction, applied mostly to short-trip distances, while effective long-term forecasting, which has become a challenging issue …

Tl-Convlstm: A Transfer-Learning-Based Convolutional Lstm To Identify And Forecast Traffic In The Nextg Environments, Bikash Chandra Singh, Peter Foytik, Rafael Diaz, Sachin Shetty

School of Cybersecurity Faculty Publications

Forecasting and categorizing cellular traffic flows and their types are essential functions in intelligent network systems to ensure efficient network optimization. The ever-evolving nature of 5G networks results in fluctuations in traffic patterns over time, leading to a phenomenon known as model drift. Consequently, accurately predicting and identifying cellular traffic patterns becomes a complex task. To tackle this challenge, this article introduces an innovative approach called TL-ConvLSTM, which combines transfer learning with convolutional long short-term memory (ConvLSTM) to effectively combat model drift and provide precise forecasting and recognition of cellular traffic within the network. To accomplish this, we initiate the …

Qos-Aware Link Adaptation For Beyond 5g Networks: A Deep Reinforcement Learning Approach, Ali Parsa, Neda Moghim, Sachin Shetty

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Modern wireless communication systems face increasingly complex challenges due to rapidly changing channel conditions and the growing diversity of application-specific Quality of Service (QoS) requirements. Traditional link adaptation mechanisms primarily aim to maximize throughput and often lack the flexibility to support emerging applications, such as Extended Reality (XR) and Virtual Reality (VR), which demand simultaneous guarantees for high data rates, ultra low latency, and high reliability. These stringent and multidimensional QoS needs call for more intelligent and adaptive solutions. In this paper, we propose QDRLLA (QoS-aware Deep Reinforcement Learning-based Link Adaptation), a novel framework that employs deep reinforcement learning to …

A Trust-By-Learning Framework For Secure 6g Wireless Networks Under Native Generative Ai Attacks, Md Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara, Trinidad Mario Dena, Walid Saad, Zhu Han, Sachin Shetty

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Sixth-generation (6G) wireless networks will become vulnerable due to native generative AI (GenAI)-driven intelligent poisoning attacks in both the radio unit and the core network. In particular, network parameters and metrics in cross-layer design pose fundamentally uncertain conditions and can be compromised through the native GenAI mechanism, which leverages data augmentation and reconstruction capabilities. This work investigates the capabilities of native GenAI to create novel poisoning attacks in wireless networks, while investigating their impact through uncertainty-informed root analysis. Then, detected attacks are mitigated by developing a trustworthy service aggregation in the wireless network. First, a joint decision problem is formulated …

Physiological Effects Of Research Handling On The Northern Elephant Seal (Mirounga Angustirostris), Lauren A. Cooley, Allyson G. Hindle, Cassondra L. Williams, Paul J. Ponganis, Shawn M. Hannah, Holger Klinck, Markus Horning, Daniel P. Costa, Rachel R. Holser, Daniel E. Crocker, Birgitte I. Mcdonald

Faculty Research, Scholarly, and Creative Activity

Wildlife researchers must balance the need to safely capture and handle their study animals to sample tissues, collect morphological measurements, and attach dataloggers while ensuring their results are not confounded by stress artifacts caused by handling. To determine the physiological effects of research activities including chemical immobilization, transport, instrumentation with biologgers, and overnight holding on a model marine mammal species, we collected hormone, blood chemistry, hematology, and heart rate data from 19 juvenile northern elephant seals (Mirounga angustirostris) throughout a translocation experiment. Across our six sampling timepoints, cortisol and aldosterone data revealed a moderate hormonal stress response to handling accompanied …

On Modeling Agent Behavior Change Through Multi-Typed Information Diffusion In Online Social Networks, Masaaki Miyashita, Norihiko Shinomiya, Daisuke Kasamatsu, Genya Ishigaki

Faculty Research, Scholarly, and Creative Activity

The rapid spread of information on online social networks (OSNs) has had both beneficial and detrimental societal impacts. Notably, the propagation of misinformation during events such as the COVID-19 pandemic has driven collective behavioral responses, sometimes exacerbating crises such as panic buying and bank runs. The toilet paper shortage in Japan in 2020 caused by people's selfish behavior owing to the diffusion of information to correct misinformation, which is considered a general phenomenon based on three sociological characteristics: a collective action problem, a self-fulfilling prophecy, and pluralistic ignorance. Understanding what kind and how information can inhibit selfish behavior to mitigate …

Empowering Customer Service With Generative Ai: Enhancing Agent Performance While Navigating Challenges, Charles Costa, Souvick Ghosh

Faculty Research, Scholarly, and Creative Activity

Introduction. As large language models (LLMs), such as GPTs, become more intelligent, a key area of exploration is how these technologies can improve the customer experience. Contrary to common belief, many consumers, including Gen Z, prefer human-provided customer service, illustrating the importance of human-AI collaboration in the space. Method. By leveraging the author’s real-world knowledge of enterprise knowledge management and customer service delivery, we reviewed numerous literature about AI, knowledge management, and service design and synthesised practical insights for industry professionals to build a successful AI strategy. Analysis. We examined the gap between academic research on generative AI and how …

Label-Free Visualization And Segmentation Of Endothelial Cell Mitochondria Using Holotomographic Microscopy And U-Net, Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa, Patrick Jurney

Faculty Research, Scholarly, and Creative Activity

Understanding the physiological processes underlying cardiovascular disease (CVD) requires examination of endothelial cell (EC) mitochondrial networks, because mitochondrial function and adenosine triphosphate production are crucial in EC metabolism, and consequently influence CVD progression. Although current biochemical assays and immunofluorescence microscopy can reveal how mitochondrial function influences cellular metabolism, they cannot achieve live observation and tracking changes in mitochondrial networks through fusion and fission events. Holotomographic microscopy (HTM) has emerged as a promising technique for real-time, label-free visualization of ECs and their organelles, such as mitochondria. This nondestructive, noninterfering live cell imaging method offers unprecedented opportunities to observe mitochondrial network dynamics. …

Layover Start Timing Predicts Layover Sleep Quantity And Timing On Long-Range And Ultra-Long-Range Trips, Michael J. Rempe, Ian Rasmussen, Kevin Gregory, Cheyenne Johnson, Matthew Hsin, Erin Flynn-Evans, Amanda Lamp, Cassie J. Hilditch

Faculty Research, Scholarly, and Creative Activity

Study Objectives: Airline transport pilot sleep during layover is an important factor for alertness on subsequent flights. Assessing pilots' sleep on layover is an important first step in helping them obtain the most recuperative sleep possible on layover. Here, we investigate the quantity and timing of sleep during layovers and determine predictors for layover sleep. Methods: Sleep was assessed in 256 pilots flying a total of 473 long-range (LR; flight time 12-16 hours) or ultra-long-range (ULR; flight time > 16 hours) trips. Sleep was assessed using actigraphy. We employed linear mixed-effects models with layover sleep characteristics as the outcomes. The predictor …

The Chatgpt Fact-Check: Exploiting The Limitations Of Generative Ai To Develop Evidence-Based Reasoning Skills In College Science Courses, Ursula Holzmann, Sulekha Anand, Alexander Y. Payumo

Faculty Research, Scholarly, and Creative Activity

Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the ChatGPT Fact-Check was developed to teach students in college science courses the benefits of using LLMs for topic exploration while emphasizing the importance of validating their claims based on evidence. The assignment requires students to use ChatGPT to generate essays, evaluate AI-generated sources, and assess the validity of AI-generated scientific claims …

Using A Sober Curious Framework To Explore Barriers And Facilitators To Helping Sexual Minority Women Reduce Alcohol-Related Harms: Protocol For A Descriptive Study, Tonda L. Hughes, Lauren Bochicchio, Laurie A. Drabble, Belinda Lunnay, David Whiteley, Jillian R. Scheer, Beth Meadows, Paul Ward, Carol Emslie

Faculty Research, Scholarly, and Creative Activity

Background: Globally, women consume less alcohol than men, but alcohol consumption among women has declined less in recent years than among men. Drinking rates and alcohol-related harms vary substantially across population groups of women, and sexual minority women (eg, lesbian, bisexual, and queer) are at notably high risk. An emerging body of literature suggests that in addition to minority stress (eg, stigma, discrimination), drinking norms and drinking cultures likely influence sexual minority women’s drinking. Almost no research has explored these factors as possible targets of interventions. Sober curiosity is a rapidly growing wellness movement that may be particularly salient for …

Criminal Law: Felons, Firearms, And The “Federalization” Of Crime, Jonathan Abel

The Judges' Book

No abstract provided.

Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach, Franck B.N. Tonle, Henri E.Z. Tonnang, Milliam M.Z. Ndadji, Maurice Tchoupe Tchendji, Armand Nzeukou, Kennedy Senagi, Saliou Niassy

All Peer-Reviewed Publications

Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains. However, assessing the similarity of multivariate time series data presents several challenges, including dealing with large datasets, addressing temporal misalignments, and necessitating efficient and comprehensive analytical frameworks. A novel integrated computational approach, Multivariate Time series Alignment and Similarity Assessment (MTASA) is proposed to address these challenges. MTASA is built upon a hybrid methodology designed to optimise time series alignment, complemented by a multiprocessing engine that enhances the utilisation of computational resources. This integrated approach comprises four key …

Morphometric Characterization Of Invasive Diaphorina Citri Infesting Citrus And Orange Jasmine In Ghana, Kodwo Dadzie Ninsin, Maxwell Kelvin Billah, Bernard Agyeman Boateng, Jonathan Osei-Owusu, Fred Kormla Ablormeti, Samuel Opuni-Basoa, Aboagye Kwarteng Dofuor, George Edusei, Steve B.S. Baleba, Owusu Fordjour Aidoo

All Peer-Reviewed Publications

Morphometric analysis plays a crucial role in the accurate identification and classification of insect pests, which is essential for implementing effective management strategies. The Asian citrus psyllid (Diaphorina citri Kuwayama; Hemiptera: Liviidae), an invasive species and a known vector of ‘Candidatus Liberibacter asiaticus’ and ‘Ca. Liberibacter americanus,’ the bacterial pathogens associated with Huanglongbing (HLB), has recently emerged as a pest of concern in Ghana. Despite its significance, little is known about the biological traits of field populations in the region. In this study, we examined morphometric variation in D. citri populations infesting citrus and orange jasmine (Murraya paniculata) across different …

A Review On Knowledge And Information Extraction From Pdf Documents And Storage Approaches, Salvador D. Atagong, Henri Tonnang, Kennedy Senagi, Mark Wamalwa, Komi M. Agboka, John Odindi

All Peer-Reviewed Publications

Introduction: Automating the extraction of information from Portable Document Format (PDF) documents represents a major advancement in information extraction, with applications in various domains such as healthcare, law, or biochemistry. However, existing solutions face challenges related to accuracy, domain adaptability, and implementation complexity. Methods: A systematic review of the literature was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to examine approaches and trends in PDF information extraction and storage approaches. Results: The review revealed three dominant methodological categories: rule-based systems, statistical learning models, and neural network-based approaches. Key limitations include the rigidity of rule-based …

Predicting Food Prices In Kenya Using Machine Learning: A Hybrid Model Approach With Xgboost And Gradient Boosting, Benard O. Ogol, Evans Omondi, John Olukuru, Betsy Muriithi, Kennedy Senagi

All Peer-Reviewed Publications

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the application of machine learning methods, employing a hybrid approach that combines XGBoost and gradient boosting, to predict food prices in Kenya. The food prices data from the World Food Programme, covering the period from January 2006 to September 2024, as well as currency exchange rates data from the Central Bank of Kenya in US dollars (USD) and inflation rates data, were collated and preprocessed to be ready for analytics and machine learning. The augmented …