Digital Commons Network^™

University Students’ Attitudes Toward And Intentions To Use Generative Ai In The Classroom: Findings From Pre- And Post-Genai Teaching Initiative Surveys, Yanfeng Xu, Hengtao Tang, Gareth Rees-White, Oz Ince, Allison Byxbe, Michael Stoeltzner, Gloria Washington, Shan Qiao, Sicheng Wang, Mercy S. Namateng, Omar Roy

Journal of Educational Technology Development and Exchange (JETDE)

This study aimed to examine and compare factors associated with support for integrating GenAI into classroom settings and the intention to use GenAI tools in future education among students in pre- and post-GenAI teaching initiative surveys in an R1 university in the United States. Online surveys via Qualtrics were administered at the start and end of the Fall 2024 semester. Descriptive and bivariate analyses and ordered logistic regression models were conducted. In the pre-GenAI teaching initiative survey, significant predictors associated with students’ support for GenAI tools were students’ interest in GenAI and perceived usefulness. Significant predictors associated with their intention …

Equity Evaluation Of Residents’ Transit+Walk Accessibility To Sacramento Healthcare Facilities, Masoud Ghodrat Abadi, Ahoura Zandiatashbar, Aaron Pickett, Stephanie Nemet, Soheil Sharifi

Mineta Transportation Institute

Access to healthcare is a key component of public health equity, yet many U.S. communities remain dependent on private vehicles for medical travel. This study introduces an integrated framework, the Transit+Walk Score (TWS), to evaluate how effectively residents of Sacramento, California, can reach healthcare facilities via public transit and how safely, comfortably, and conveniently they can walk from transit stops to those facilities. The research aims to inform planners, transit agencies, and policy makers in designing equitable and multimodal transportation systems. The research team combined geospatial network modeling and field-based walkability audits to assess 123 healthcare facilities across Sacramento, with …

Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 5 Survey, Carol Kachadoorian

Mineta Transportation Institute

This document reports on approximately 2,800 responses to a North American survey of older adults who cycle. The survey, open from March 2024 through February 2025, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past year, coding fall descriptions into six categories and sorting them by the respondent’s gender and age. …

Keirkegaard And The Algorithm, John Egan

Philosophy Student Scholarship

No abstract provided.

Evaluating The Effect Of Rna Interference Of X-Box Binding Protein 1 (Xbp1) On Survival And Fecundity In Acyrthosiphon Pisum, James Balthazor, Jacob Lutgen

Chemistry Faculty Publications

Acyrthosiphon pisum (pea aphid) is a major pest of Fabaceae (legume) crops, causing direct feeding damage and transmitting plant viruses. Conventional control relies on broad-spectrum insecticides and natural enemies, both of which can harm non-target organisms and ecosystems. RNA interference (RNAi) offers a promising, species-specific alternative by silencing essential genes via double-stranded RNA (dsRNA). This study targeted X-Box Binding Protein 1 (XBP1), a key transcription factor in the Unfolded Protein Response (UPR) pathway that regulates proper protein folding in the Endoplasmic Reticulum (ER). This chaperone promotes folding of newly synthesized polypeptides and helps manage misfolded proteins. Silencing the XBP1 gene …

Optimizing Warranty Policies For Remanufactured Products: When Should They Be Longer, Shorter, Or Identical To New Product Warranties?, Kunpeng Li, Jun-Yeon Lee

Faculty Publications

Manufacturers adopt different warranty strategies for remanufactured products, offering shorter, identical, or longer warranty periods compared to new products. However, prior research has only focused on manufacturers offering either shorter or identical warranties. In addition, the existing literature has not captured the diminishing returns of warranties, i.e., as the warranty coverage increases, its incremental benefits begin to decrease but the costs continue to increase. To address these gaps, we develop an optimization model that jointly considers pricing and warranty decisions while accounting for warranty’s diminishing effect on consumer’s willingness to pay for remanufactured products. We show that all three observed …

Addressing The Problems Of Data Variations, Quality, And Scarcity In Training Deep Neural Networks, Jian Sun

Electronic Theses and Dissertations

The performance of deep neural networks (DNNs) is strongly influenced by the characteristics and quality of the underlying datasets. This Ph.D. dissertation addresses three pervasive data challenges-imbalance, quality degradation, and scarcity-that commonly hinder the effectiveness of DNNs in computer vision (CV) and natural language processing (NLP) applications.

Class imbalance remains one of the most frequent causes of degraded model generalization. While Focal Loss effectively mitigates inter-class imbalance by assigning higher weights to minority classes, it struggles with intra-class imbalance, particularly in video datasets where longer clips dominate feature representation. To address this, I implement and utilize …

Secureai: Toward Experiential Security And Privacy Training For Ai Practitioners, Mujtaba Nazari, Eric Chan-Tin, Loretta Stalans, Mohammed Abuhamad

Computer Science: Faculty Publications and Other Works

The rapid adoption of artificial intelligence across industries has outpaced security and privacy training for AI practitioners. This paper presents methods, modules, and findings from an experiential training program designed to address security and privacy challenges in AI systems development and deployment. We conducted two program iterations: a comprehensive 12-workshop series (May-October 2024) and a condensed 6-workshop format (January-February 2025). The program combined expert-led panel sessions with hands-on laboratory activities, engaging 78 participants from diverse professional backgrounds. Evaluation through pre- and post-evaluation surveys and qualitative observations revealed improvements in cybersecurity knowledge and AI security awareness. Participants demonstrated enhanced ability to …

Analogy2kg: An Automatic Pipeline For Deriving Knowledge Graphs From Long-Text Analogies, Kara Combs, Lance E. Champagne, Bruce A. Cox, Christine M. Schubert Kabban, Trevor Bihl, Grace Lemming

Faculty Publications

Analogical reasoning is an increasingly popular, lightweight solution to enable large language model (LLM)-level reasoning without computational complexity. Still, it has yet to be adopted due to its reliance on strictly hand-formatted data. Therefore, we propose Analogy2KG (“Analogy to Knowledge Graph”), as an automatic pipeline that transforms text into a KG format via a fine-tuned version of information extraction (IE) algorithms for long-text analogies. The need to verify that the complex underlying analogical structure of the data is maintained was done via paired samples tests in the creation and validation of this pipeline. Graph density was used to evaluate the …

The Difficulty With Setting A Standard Based On Difficulty: The Role Of Validity In Determining Assessment Standards., Steven Burr, Daniel Zahra, Iain M Robinson

Peninsula Medical School

When setting standards for high-stakes assessments, it is necessary to be clear whether the primary criterion should be importance or difficulty. While standard setting practices frequently rely on the difficulty to determine passing or failing thresholds, this can undermine the intended inferences and uses of assessments. Standard setting based on difficulty conflates importance with subjective perceptions of difficulty, misguiding decisions about what candidates need to demonstrate for safe and effective practice. We explore several reasons why difficulty does not align with the aims of assessment and how prioritising importance can better reflect the intended uses and inferences of a test. …

Optimization Of Contact Time, Adsorbent Dosage, And Initial Ph For Methylene Blue Removal In Aqueous Solution Using Citrus Aurantium Peels, John Rich M. Adorna, Maria Carmela M. Lajara, Aldrin James F. Tolentino, Hiromi O. Yazaki

DLSU Senior High School Research Congress Conference Proceedings

The growing contamination caused by the dye and textile industries has generated serious environmental issues due to the release of chemically synthesized dyes such as methylene blue (MB), which are toxic and resistant to biodegradation. This study examines the impact of contact time, adsorbent dosage, and initial pH on the removal efficiency of MB using Citrus aurantium peels as a cost-effective and environmentally friendly adsorbent. The Box-Behnken design methodology was employed to identify optimal conditions for maximum removal. The research consisted of 15 experiments to determine the adsorption capacity under various conditions. Results showed that the removal efficiency was highest …

Into The Spectrum: Investigating The Range Of Color Vision In The Foraging Behavior Of Diacamma Rugosum (Asian Bullet Ants), Manjho Aron R. Broniola, Ethan Jay O. Dayandante, Patricia Erin D. Sotto, Lawrence P. Belo

DLSU Senior High School Research Congress Conference Proceedings

Ants showcase that size does not always matter. Through their small stature, they continue surviving in the land they live in, continuously being resourceful for their colony. Each ant serves their purpose of building, hunting, and growing their colony. They used their heightened senses to communicate danger, routes, and food sources from which they could contribute to the colony. Typically done via pheromones, also known as their “scent.” Previous studies have raised the preference of other ant species to be colors of short wavelengths. Now, this study deals with the ethology of ants, specifically regarding their foraging behavior, raising the …

Exposing Car Dealerships' Final Hidden Sales Con: A Call For The Disclosure Of Interest Rate Markups When "Helping" Buyers With Indirect Financing, John C. Simms

Kentucky Law Journal

No abstract provided.

Congress's Mistaken Ip Power And Our Hybrid Constitutionalism, Barry P. Mcdonald

Kentucky Law Journal

No abstract provided.

The Case For Lgbtq+ Adoption Rights In The Post-Roe Era, Tate Craft

Kentucky Law Journal

No abstract provided.

Dred Scott, Military Enslavement, And The Case For Reparations, Hugh Mcclean

Kentucky Law Journal

No abstract provided.

Pull Factors Of College Selection: The Role Of Club Sports In Student Enrollment Decisions, Brett A. Anderson, Sean Seiler, Thomas Baker

Journal of Issues in Intercollegiate Athletics

The relationship between club sports in intercollegiate athletics and their influence on student recruitment and retention remains underexplored within the broader participatory sport ecosystem. Guided by push–pull models of college selection, this study examines whether the availability of club sports functions as a meaningful pull factor in students’ decisions to enroll in and remain at an institution. Survey data were collected from 151 current undergraduate and graduate club sport athletes across the United States. Exploratory factor analysis identified a distinct Club Sports factor, demonstrating strong construct validity and internal consistency. Multiple regression analyses revealed that club sport availability was a …

Boarding By Biometrics: How Smart Technology Is Reshaping Passenger Experience, Xiaoting Chi, Frank Badu-Baiden, Seongseop (Sam) Kim, Junwei Cao, Elena-Nicoleta Untaru, Heekyoung Jung, Heesup Han

Rosen Research Review

The research by Chi, Badu-Baiden, Kim, Cao, Untaru, Jung, and Han explores how biometric boarding transforms airline travel. Using technology acceptance, agenda setting, and behavioral reasoning theories, the study reveals how ease of use, usefulness, media exposure, and attitudes shape adoption. Findings stress convenience, engagement, and targeted communication, with age and gender influencing responses. For airport managers and designers, the research offers practical strategies for secure, efficient, and passenger-centered boarding systems.

The Pleasure Principle: Why Enjoyment May Be The Missing Link In Ai Adoption, Arthur Huang, Ahmet Bulent Ozturk, Tingting Zhang, Efren De La Mora Velasco, Adam Haney

Rosen Research Review

The research by Huang, Ozturk, Zhang, de la Mora Velasco, and Haney reveals a compelling insight: enjoyment—not just efficiency—is a key driver of whether guests will continue using AI in hospitality and tourism. By expanding the expectation-confirmation model, the study shows that perceived enjoyment, alongside performance and satisfaction, plays a pivotal role in shaping future use intentions. This shift toward hedonic value reframes how hoteliers and tourism professionals should design and promote AI services. The findings suggest that delight, fun, and emotional resonance are just as important as functionality when it comes to long-term engagement with AI-powered experiences.

Educating For Responsible Ai Governance - Building Interdisciplinary Frameworks For The Management Of Artificial Intelligence, Grace Eboh

Southwestern Business Administration Journal

As Artificial Intelligence (AI) becomes increasingly prevalent across industries, there is a critical need for educational programs that teach effective AI governance and management. This article examines how educational institutions can develop comprehensive curricula to prepare professionals for the complex challenges of overseeing AI systems responsibly. It analyzes current gaps in AI governance education, proposes frameworks for curriculum design, and identifies key competencies required for effective AI stewardship. The findings suggest that successful AI governance education must adopt an interdisciplinary approach that integrates technical literacy, policy understanding, ethical reasoning, and organizational management.

Sustainable Cement-Blast Furnace Slag Mortar, Richa Jain, Harshit Jain, Ashish Nim

Journal of Sustainable Construction Materials and Technologies

New building materials that required and produced less energy are need of today's infrastructure development. The ability of such building materials to promote sustainable development always puts its demand in active mode. With huge consumption of naturally occurring materials in building construction, the problem related to environment degradation is now common for world. Along with this, world is also facing the problem of reuse, recover and scientifically approved disposal of non-biodegradable wastes. Blast furnace slag (BFS) is one of those steel industry wastes that are abundantly available and their disposal arises as prime challenge for industries. This research work makes …

Deep Learning Based Routing And Clustering Approaches For Energy Optimization In 5g Wireless Sensor Networks: A Review, Ghufraan Ali Mohammad Jawad, Ahmed M. Al-Salih

Journal of Intelligent Informatics, Networking, and Cybersecurity

Next-generation Wireless Sensor Networks (WSNs), including 5G and Beyond-5G networks, have made significant progress. However, their development requires re-evaluating intelligent communication approaches to meet the growing demands for higher data transmission rates, more efficient spectral utilization, and reduced energy consumption. Scalability issues related to energy efficiency remain a critical concern for WSNs, which remain integral to the digital revolution. This paper investigates the role of Deep Learning (DL) methods in improving energy efficiency for routing and clustering in 5G WSNs. It is pertinent to note that Deep Q-Networks (DQNs) and their variants have significantly enhanced Cluster Heads (CHs) selection schemes …

Modeling And Optimization Of Ppsu/Cu-Bdc Mmms And Ppsu/Cooh-Mwcnt@Cu-Bdc Mmms For Enhanced Water Treatment Performance, Ghaidaa M. Jaid, Adnan A. Abdulrazak, Sunarti Abdul Rahman, Muayad Al-Shaeli, Vahid Vatanpour, Qusay F. Alsalhy

Engineering and Technology Journal

Water quality is increasingly of concern today due to industrial wastewater that contains heavy metals, particularly lead (Pb²⁺). What follows is a study aiming at adjusting operational variables affecting the performance of two types of mixed-matrix membranes (MMMs) used for lead ion removal from simulated wastewater. The first employs polymer polyphenylsulfone (PPSU) by embedding copper-organic frameworks (Cu-BDC), and the second MMMs incorporate a novel COOH-MWCNT@Cu-BDC nanocomposite in the same polymer. MOF nanoparticles were added to the matrix to improve membrane performance, hydrophilicity, contact angle, porosity, and fouling resistance. Three operating parameters were modeled and optimized for their influence …

Automated Service Level Agreement Negotiation And Dynamic Adaptation For Multi-Tenant Submarine Optical Networks, Arvind Kumar, Swarup Kr Ghosh, Richard Moses S, Venkata Narasimhulu Bodagala

Defensive Publications Series

Proposed herein is an automated service level agreement (SLA) negotiation and dynamic adaptation system for multi-tenant optical networks that solves critical problems of service-impacting power fluctuations and operational ambiguity in optical networks. The system provides such features by integrating proactive "make-before-break" algorithms, granular sub-channel monitoring, and novel state management, creating a highly automated, stable, and easy-to-manage shared optical environment.

Translational Barriers To Aav And Crispr Gene Therapy In Diabetes, Abdulrahman G. Alharbi

Saudi Medical Journal

Gene therapy targets diabetes pathophysiology rather than symptoms, yet clinical translation is slower than preclinical success. This review synthesizes 143 registered trials (ClinicalTrials.gov, 2010-2025) identifying systematic implementation barriers. Despite >15 years of development, 83% of trials remain in Phase I-II. Only zimislecel achieved Phase III outcomes (83% insulin independence at 12 months, n=12, requiring immunosuppression). VM202 for diabetic neuropathy failed Phase III despite positive extension results. Three systematic barriers emerged: (1) human transduction efficiency is 6-8.7-fold lower than preclinical models; (2) pre-existing immunity excludes 58-78% of candidates; (3) manufacturing capacity serves <2.5% of target population (40-400 years to treat at maximum capacity). These constraints explain why ex vivo cell therapies advanced to efficacy trials while in vivo gene delivery remains in Phase I despite longer development timelines. Research priorities should emphasize non-viral delivery systems offering scalable manufacturing and universal hypoimmune donor cells to address access barriers.

Semaglutide In Metabolic Medicine: A Review On Clinical Applications And Emerging Therapeutics, Abdulrahman A. Aljabri

Saudi Medical Journal

Obesity and type 2 diabetes mellitus affect over 800 million and 537 million individuals worldwide. Semaglutide, a weekly glucagon-like peptide-1 receptor agonist, has advanced treatment of pathophysiological processes linked to metabolic dysregulation. This review consolidates evidence on its mechanisms of action, clinical effectiveness across established and emerging applications, safety, and prospects for personalized therapy. Clinical studies have shown that semaglutide sustains glycemic control, promotes substantial weight loss, and provides cardiovascular and renal protection. Recent FDA clearance marks the first therapeutic alternative for metabolic dysfunction-associated steatohepatitis among the emerging applications. Pharmacogenomic insights facilitate personalized therapy; however, clinical applications remain in experimental …

A Multi-Task Cnn-Lstm Model With Attention Mechanism For Climate Temperature Forecasting Over Iraq, Salim M. Mohammed, Omar M. Mustafa, Lailan M. Haji, Omar M. Ahmed

Al-Bahir

Accurate forecasting of climate temperature at the regional scale is crucial to agriculture planning, water resource management, and disaster preparedness. Still, due to the nonlinear and complicated temporal patterns in regions such as Iraq, conventional climate models fail to meet this imperative. This paper presents a novel deep learning model that not only predicts monthly average temperature values but also predicts the temperature trend, hence addressing the regional climate prediction problem holistically. The proposed model is designed as a multi-task deep learning framework integrating Convolutional Neural Networks, Long Short-Term Memory networks, and an attention mechanism to process historical monthly temperature …

Health Effects Of Cadmium And Manganese Exposure On Luteinizing Hormone Levels: A Pilot Study Of Female Infertility, Shatha F. Alhous, Anees A. Al-Hamzawi, Murtadha Sh. Aswood

Al-Bahir

Female infertility occurs for many reasons, some unknown. Exposure to heavy metals is a risk factor that negatively impacts on female reproductive system. Therefore, this study aimed to evaluate the effect of cadmium Cd and manganese Mn on luteinizing hormone LH levels for females’ infertility. This study included a healthy group (n = 20), primary infertile females (n = 40), and secondary infertile females (n = 20) collected from Al-Zahraa hospital in Najaf center, Iraq. The Atomic Absorption Spectroscopy (AAS) was used to measure the cadmium and manganese concentrations and LH levels were measured by a Maglumi 800 from Snibe …

Enhanced Cuckoo Search-Based Optimization For Single Distributed Generation Placement And Sizing In Radial Distribution Systems, Samson Oladayo Ayanlade, Abdulrasaq Jimoh, Richard Oladayo Olarewaju, Ignatius Kema Okakwu, Israel O. Adejumobi, Joseph B. Samson, Oluwadare A. Adebisi, Oluwadare O. Akinrogunde

Al-Bahir

This paper presents an Enhanced Cuckoo Search Algorithm (ECSA) to optimally place and size Distributed Generation (DG) in radial distribution systems to minimize real power loss within operating constraints. The proposed ECSA has exponentially decaying adaptive Lévy flights, constraint-aware solution repair with dynamic penalty coefficients, and diversity-directed stochastic replacement to enhance search robustness and convergence speed. It was tested with 30 independent runs on the IEEE 33-bus, IEEE 69-bus, and a practical Nigerian 32-bus distribution network. The simulations show that the ECSA lowers the active power loss of the IEEE 33-bus system from 201.58 kW to 102.75 kW (49.03%), and …

Voltage-Mode Driver With Sar-Based Termination Calibration, Moustafa M. Elsayed, Abeer T. Khalil, Sameh A. Ibrahim, Mohy Eldin A. Abo-Elsoud

Mansoura Engineering Journal

This paper introduces a DAC-based four-level pulse-amplitude modulation (PAM-4) driver capable of operating at data rates up to 80 Gb/s in 65-nm CMOS technology. A replica-based termination calibration loop is proposed to preserve driver linearity across process, voltage, and temperature (PVT) variations. The proposed driver achieves a relative level mismatch (RLM) of 99.3%. In addition, the transmitter demonstrates a vertical eye opening of 134.8 mV and a horizontal eye opening of 0.44 UI under worst-case conditions.