Digital Commons Network^™

Understanding Glufosinate Resistance In Palmer Amaranth And Examination Of Additives For Improved Weed Control, Pamela Carvalho-Moore

Graduate Theses and Dissertations

The aim of this dissertation was to: 1) provide an in-depth review about the potential use of natural and synthetic glutathione S-transferase (GST) inhibitors to enhance herbicidal activity or induce crop safety; 2) determine if the addition of metabolic inhibitors to glufosinate is an effective approach to enhance weed control; 3) investigate the mechanism conferring resistance to glufosinate in a highly-resistant Palmer amaranth accession; 4) characterize the genomic rearrangement involved in glutamine synthetase 2 amplification in a Palmer amaranth accession resistant to both glufosinate and glyphosate; 5) quantify the distribution of glufosinate resistance among Palmer amaranth accessions within a 15-km …

Fpga-Based Overlay Accelerators With Massive Parallel Processing Units To Accelerate Deep Neural Networks, Ehsan Kabir

Graduate Theses and Dissertations

Deep neural networks (DNNs) are widely used in applications such as classification, prediction, and regression. Various DNN architectures, such as convolutional neural networks (CNN), multilayer perceptrons (MLP), long short-term memory (LSTM), recurrent neural networks (RNN), and transformers, have become leading machine learning techniques in these applications. They require significant computational resources and have substantial memory demands due to intensive matrix-matrix multiplications and complex data flows. Hence, efficient utilization of on-chip computational and memory resources is essential to maximize parallelism and minimize latency. Designing an optimal tiling scheme that aligns effectively with the architecture is also necessary. Modern FPGAs are equipped …

Digital Inclusion Baseline Survey, Katharine Willis

Faculty of Arts, Humanities and Business Datasets

We undertook a survey of Cornwall residents to understand their level of digital skills against a national baseline. The survey questions were designed to mirror the methodology of the Lloyds Bank Consumer Digital Index in order to gain Cornwall data against a national baseline . Consultation was undertaken with the Good Things Foundation and Digital Poverty alliance in the development of the survey questions. The Good Things Foundation provided three additional questions: “questions for digital inclusion” which we agreed to pilot as part of the survey.

Leviathans And Liberation: Did Whaling Contribute To The Decline Of Slavery?, Topher L. Mcdougal, Austin Choi‐Fitzpatrick

School of Peace Studies: Faculty Scholarship

No abstract provided.

Durability, Mechanical, And Corrosion Characteristics Of Recycled Aggregate Concrete Utilizing Locally Sourced Waste And Ultrafine Cerium Oxide, Ansam Hashim, Rana Anaee, Mohammed Nasr

Journal of Applied Sciences and Nanotechnology

This study seeks to identify an environmentally sustainable method for utilizing the synergetic effects of window glass (WG), ceramic powder (CP), and ultrafine cerium oxide (UFC) in developing concrete containing 25% coarse ceramic aggregate. Four different mixtures were formulated. The first represents control, consisting of 100% ordinary Portland cement (OPC), two other mixtures were composed of 10% WG, 10% CP and 80% OPC, and the fourth mixture consisted of four compositions of 79.5% OPC, 10% WG, 10% CP, and 0.5% UFC. The effect of these additives on recycled ceramic concrete (RA) properties, including workability and setting time, compressive strength, total …

Knowledge, Attitude And Practice Of Artificial Intelligence Among Healthcare Professionals: An Online Cross-Sectional Survey, Nikhil R, Divya K L, Mahabaleshwar Mamadapur, Harshwardhan S Patil, Shashirekha B, Hema Sameera Pinnam, Purna Bansal

Digital Journal of Clinical Medicine

Background: Deep learning-powered Artificial Intelligence-driven assistance offers enormous potential to improve healthcare by facilitating administrative work, diagnosis, and the treatment of chronic diseases. The gap between clinical values and the day-to-day realities of primary care practice might widen if AI is not successfully incorporated.

Methods: A cross-sectional design was used to evaluate healthcare professionals' perceptions and understanding of AI within a clinical setting. The study was conducted among 456 Health care Workers from May to November 2024.

Results: Among 456 participants, 55.7% were MBBS students/interns, and 37.9% were postgraduates/professionals. More than 50% supported AI integration, and 62.3% of MBBS …

Longing For Transcendence: Olympic Gold And Christian Virtue, Matthew Vos, John B. White

Pro Rege

No abstract provided.

Advancing U.S. Competitiveness In Agentic Gen Ai: A Strategic Framework For Interoperability And Governance, Satyadhar Joshi

Harrisburg University Other Works

Abstract : The rapid evolution of artificial intelligence has given rise to agentic AI systems—autonomous entities capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This work provides a systematic analysis of agentic AI frameworks, governance models, and implementation strategies. Drawing on a comprehensive review of the literature, we examine the current state of agentic AI technologies, highlight key challenges in governance, security, and ethical oversight, and compare architectural frameworks for responsible deployment. Our results, illustrated through detailed framework comparisons and governance analyses, demonstrate that while agentic AI holds transformative potential across multiple sectors, notable …

Blockchain-Powered Dynamic Segmentation In Personal Health Record, Mishall Al-Zubaidie, Wid Alaa Jebbar

Mesopotamian Journal of CyberSecurity

Sensitive patient data must be handled securely in modern oncology care to protect patient privacy, regulatory compliance, and clinical decision-making integrity. Conventional centralized healthcare systems pose serious threats to patient confidentiality and treatment continuity because of their susceptibility to data breaches, illegal access, and single points of failure. This study suggests a blockchain-based decentralized cancer healthcare security solution. The proposed system is based on the idea of layers; each layer has a distinct function that gives it a feature that sets it apart from the others. A hierarchical clustering algorithm (HCA) is used in the first layer to determine the …

Synthesis And Properties Study Of Layered Magnetic Topological Materials, Gokul Acharya

Graduate Theses and Dissertations

The discovery of topological materials (TMs) has opened up exciting opportunities for probing fundamental physics and enhancing innovative device integrations. These materials display various exotic properties, such as large magnetoresistance, high mobility, chiral anomaly, and surface Fermi arcs. The magnetic versions of ZrSiS family, LnSbTe and LnPS (Ln = lanthanide) have attracted intensive attention as these materials provide a new platform to study interplay between magnetism, topological states, and electron correlations. The vast pool of topological materials has provided exciting avenues to precisely engineer the topological states by modulating spin-orbital coupling, electronic dimensionality, and lattice constant through element substitutions. This …

Ev Battery Next Lives, Asma Aziz, Bassam Al-Hanahi, Daryoush Habibi, Iftekhar Ahmad

Other Reports

As the demand for lithium-ion (Li-ion) batteries grows, ensuring the availability of raw materials and addressing the environmental and social impacts of battery production and disposal have become vital concerns. Business models that give batteries a second life – through reuse, repurposing and recycling – can substantially reduce material needs and environmental effects. Over time, these practices may also unlock new domestic value streams, create job opportunities and reduce battery costs. This project is a comprehensive analysis of the end-of-life (EOL) electric vehicle (EV) battery landscape, focusing on circular economy principles and market valuation. It also examines the supply chain …

Does Writing Have A Future?, David J. Gunkel

Proceedings of the New York State Communication Association

Professor David J. Gunkel is the Chair of the Department of Communication at Northern Illinois University – but that is his latest achievement in an extensive list of accomplishments. He is an award-winning educator, researcher, and the author of more than ninety scholarly articles and thirteen books. And it is his latest book, AI for Communication, and his latest thinking about what we have called artificial intelligence and writing that brought him to our 82^nd annual conference.

In his keynote address on Saturday, October 9^th, 2024, Dr. Gunkel argues that AI does not signal the “end …

The Evolution Of Women Behind The Wheel, Gabrielle Iorio

Proceedings of the New York State Communication Association

This paper places the current state of women in motorsports in conversation with scholarship focused on media and cultural identity by providing historical context for women in motorsports while analyzing media representations of Danica Patrick and current racers Hailie Deegan, Toni Breidinger, and Tatiana Calderon. While great progress has been made in acceptance of women as professional race car drivers and in media representations of them, stereotypes still face these drivers when it comes to obtaining sponsorships and the types of sponsorships they receive.

Algorithmic Governance And The Boardroom: Empirical And Strategic Perspectives On Ai Integration In Corporate And Educational Oversight, James Hutson, Guarango Banerjee

Faculty Scholarship

The accelerating digitization of executive decision-making has prompted critical re-examination of the function and value of traditional boards of directors within corporate and educational institutions. Empirical research consistently reveals that human boards, while ostensibly tasked with strategic insight and fiduciary oversight, are frequently constrained by structural inefficiencies—such as director overcommitment, inflated compensation, and persistent conflicts of interest—that undermine organizational performance. Against this backdrop, the integration of Artificial Intelligence agents, either as analytic adjuncts or autonomous decision-makers, emerges as a plausible avenue for enhancing board effectiveness. This article synthesizes global case studies, peer-reviewed findings, and real-time technological developments to critically evaluate …

Synergetic Adsorptive Mechanisms, Reusability And Cost Evaluations Of Green Fabricated Hybrid Barium Cobalt Nanocomposites For Methylene Blue And Lead Removal From Wastewater, Titus Chinedu Egbosiuba, Chibuike Christogonus Njoku, Ijeoma Jacinta Ani, Godwin Ifeanyi Ogbuehi, Abdulkareem Omeiza Yusuf, Abiodun Azeez Saka, Ugochukwu Ewuzie, Ebuka Emmanuel Ezennajiego, Blessing Onyinye Okafor, Walter Chibuike Anene, Cecilia Chika Unegbu, Florence Acha, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Barium nanoparticles (BaNPs), cobalt nanoparticles (CoNPs), and hybrid barium-cobalt nanocomposites (BaCoNCs) were synthesized using an eco-friendly green technique with Anacardium occidentale leaf extract for sequestration of methylene blue (MB) dye and lead (Pb (II)) ions from industrial wastewater. The nanoparticles and nanocomposites were characterized using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), high-resolution scanning electron microscopy (HRSEM), and Brunauer-Emmett-Teller (BET) analysis to assess their functional groups, crystalline structure, morphology, and surface properties, confirming successful synthesis. Batch adsorption studies showed that optimal pollutant removal occurred at pH values of 8 for MB and 5 for Pb(II), with a contact time …

Systematic Hazard Analysis Of Flare System Nodes In Chemical Process Safety, Hayder A. Alhameedi, Athmar A. Alzubaidi, Joseph D. Smith, Doug Allen, Saud Aldawood, Paul Ani

Chemical and Biochemical Engineering Faculty Research & Creative Works

Multidimensional consequences may arise from an accident in the flare system of any chemical or petrochemical plant due to the improperly managed flare system, which can lead to the presence of the toxic and flammable gases. The Hazard and Operability Study (HAZOP) is a systematic method used to assess and identify risks that can occur during operation, ensuring risk reduction and the safety of using equipment or units. This study aims to apply the HAZOP technique to identify the hazards associated with the gas flaring process in an air-assisted flare. The air-assisted flare system was subdivided into four sections (nodes), …

Miscanthus × Giganteus Increases Soil Maximum Water Holding Capacity Compared To Maize, Jessica T. Nelson, Maoz Dor, Andy D. Vanloocke, Jacob E. Studt, Perla K. Schrock, Marshall D. Mcdaniel

School of Earth, Environmental, & Marine Sciences Faculty Publications

Soil ecosystem services, like the ability to store water, have been depleted after a century of conventional, annual cropping, and perennial crops offer a solution to this and other agricultural environmental issues. We assessed the impact of Miscanthus × giganteus (miscanthus), a perennial biomass crop, on soil water holding capacity and structure compared to continuous maize (Zea mays L.) at two sites in Iowa. After three growing seasons, we measured the following: (1) maximum water holding capacity (MWHC) with and without soil structure, and (2) total porosity and pore size distribution (PSD) via micro-computed tomography (microCT). Miscanthus increased MWHC …

2025 September, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for September of 2025.

Neuro-Ins: A Learning-Based One-Shot Node Insertion For Dynamic Routing Problems, Zhiqin Zhang, Jingfeng Yang, Zhiguang Cao, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The rise in instant delivery services necessitates efficient route planning in last-mile delivery scenarios, where new orders arrive dynamically and need to be integrated into existing routes. In such contexts, complete re-optimization of routes are not permitted, and node insertion to existing route sequences is the only viable option. However, many existing heuristics for node insertion, such as the Cheapest Insertion (CI) method, are myopic and often result in suboptimal solutions retrospectively. This paper presents Neuro-Ins, an initial yet novel attempt at harnessing a learning-based framework to handle the insertion of new orders for the Pickup and Delivery Problem (PDP). …

Shortcuts Everywhere And Nowhere: Exploring Multi-Trigger Backdoor Attacks, Yige Li, Jiabo He, Hanxun Huang, Jun Sun, Xingjun Ma, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Backdoor attacks have become a significant threat to the pre-training and deployment of deep neural networks (DNNs). Although numerous methods for detecting and mitigating backdoor attacks have been proposed, most rely on identifying and eliminating the “shortcut” created by the backdoor, which links a specific source class to a target class. However, these approaches can be easily circumvented by designing multiple backdoor triggers that create shortcuts everywhere and therefore nowhere specific. In this study, we explore the concept of Multi-Trigger Backdoor Attacks (MTBAs), where multiple adversaries leverage different types of triggers to poison the same dataset. By proposing and investigating …

Reimagining Academic Assessment In The Age Of Ai, Matthew Hammerton

Research Collection School of Social Sciences

In ‘Reimagining Academic Assessment in the Age of AI’, Matthew Hammerton examines the challenges and opportunities posed by generative AI for higher education assessment. He critiques common responses like banning AI, reverting to in-class exams, or abandoning essays altogether, arguing that they fail to preserve the deeper pedagogical goals of higher order, independent thinking. Instead, Hammerton proposes a guiding principle of intellectual responsibility: students should be accountable for explaining and defending each major choice in their work—regardless of whether they use AI tools. To operationalise this, he advocates for reintegrating oral examinations (‘vivas’) alongside written essays. In this model, students …

What Are The Limits To Smart Innovation? The Digital Underground Initiative And New Frontiers Of “Smartness” In Singapore, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This paper argues that the emergence of new frontiers of smart transformation, such as underground spaces, can pose significant challenges to the implementation of “smart” technological solutions. Exploring the case of Singapore’s Digital Underground initiative, we show that elements such as material complexity, co-ordination between stakeholders, and the availability of appropriate regulatory and administrative frameworks can problematize the implementation of subterranean smart initiatives. By considering multistake-holder perspectives on these “more-than-technological” factors, this paper offers lessons for urban planners, policymakers, and developers in cities around the world that are keen to leverage technology to unlock the potential of underground space.

Optimal Abort Policy For Mission-Critical Systems Under Imperfect Condition Monitoring, Qiuzhuang Sun, Jiawen Hu, Zhi-Sheng Ye

Research Collection College of Integrative Studies

Although most on-demand mission-critical systems are engineered to be reliable to support critical tasks, occasional failures may still occur during missions. To increase system survivability, a common practice is to abort the mission before an imminent failure. We consider optimal mission abort for a system whose deterioration follows a general three-state (normal, defective, failed) semi-Markov chain. The failure is assumed self-revealed, whereas the healthy and defective states have to be inferred from imperfect condition-monitoring data. Because of the non-Markovian process dynamics, optimal mission abort for this partially observable system is an intractable stopping problem. For a tractable solution, we introduce …

Iot Sensors As A Tool For Assessing Spatiotemporal Risk To Extreme Heat, Kijin Seong, Seung Jun Choi, Junfeng Jiao

Research Collection College of Integrative Studies

The safety of urban populations sensitive to extreme heat is under increasing threat. Few studies examine the potential benefits of deploying IoT environmental sensors in the urban context and their integration with large-scale human activity data. This paper examines the deployment of IoT sensors in high-resolution extreme heat risk assessment in the case of Seoul, South Korea. This study conducted spatiotemporal analysis on heat exposure with IoT sensors, compared it with an existing land surface temperature map for validation, combined it with human activity data for risk assessment, and finally discussed the benefits of IoTs in detecting abnormal weather events. …

The Cool, Quiet City Machine Learning Competition: Overview And Results, Clayton Miller, M. Ibrahim, I.S. Akbar, B. Picchetti, Y.X. Chua, M. Frei, F. Biljecki, A. Chong, M. Quintana, C. Fu

Research Collection College of Integrative Studies

The prediction of thermal and noise-based preferences in the urban context is valuable in characterizing interventions to mitigate the challenges of health, productivity, and satisfaction of urban dwellers. The growth of crowd-sourced data and data-driven techniques provides an opportunity to increase the understanding of which machine learning models are most accurate and applicable for this context. This paper outlines the results of a machine learning competition aiming to enhance the accuracy of predicting human comfort in the city context. The competition asks contestants to use contextual data to predict noise distraction and thermal preference in various indoor and outdoor spaces. …

Exploring The Adoption Of Construction Technologies In Infrastructure Projects: Bridging Perceptions Of Experts With Real Project Data, Fareed Salih, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Infrastructure projects have progressively adopted construction technologies, yet previous studies have not fully explored technology utilization by comparing the perceptions of experts with actual project data. This research fills this knowledge gap. The authors (1) developed, distributed, and collected a survey completed by 52 construction practitioners to investigate the use of these technologies and their associated benefits; (2) checked the survey reliability and validity using Cronbach's alpha test; (3) investigated the perceptions of utilizing construction technologies across industry sectors; (4) explored the perceptions of benefits across industry sectors; (5) analyzed the impact of construction technologies on project objectives and phases …

Experimental And Theoretical Studies Of Novel Resilient Smart Shear Keys For Speedy Functional Recovery Of Highway Bridges After Extreme Events, Xinzhe Yuan, Jun Han, Jian Zhong, Haibin Zhang, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Sacrificial shear keys in small-to-medium-span highway bridges mainly provide lateral support to the bridge superstructure under extreme events such as earthquake and/or tsunami. However, such support could lead to irreparable harm to important bridge elements like abutments and bent caps (base), delaying the functional recovery of bridges in the aftermath. In addition, existing designs of the shear key primarily emphasize resistant capacity but overlook resilience. This study introduces a new sliding, modular, adaptive, replaceable, and two-dimensional (SMART) shear key designed to enhance the resilience of I-girder highway bridges. The SMART shear key has three primary goals: 1) enabling the rapid …

Positive Effects Of Sulfates On Performance Of Cement Paste Incorporating Low-Grade, High-Aluminum Steel Slag, Nannan Zhang, Gao Deng, Wenyu Liao, Chuanlin Hu, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Steel slag with high aluminum (Al) content significantly delays the early hydration of cement when used as a supplementary cementitious material (SCM). To address this challenge, this study investigates the effects of gypsum (Gy) and sodium sulfate (SS) additions on the performance of cement pastes with 30 % high-Al ladle metallurgy furnace (LMF) slag. The mechanical properties, hydration kinetics, phase evolution, as well as the early-age hydration mechanism were explored. The results indicate that C3S hydration is substantially inhibited under high-Al conditions, mainly attributed to the rapid dissolution and reaction of reactive aluminates (particularly mayenite) in the slag. Both Gy …

Development Of A Balanced Mix Design Approach For Stone Matrix Asphalt Mixtures, Bo Lin, Yizhuang David Wang, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Stone Matrix Asphalt (SMA) has been widely used as a durable, high-quality mixture for primary roads. With the growing interest in incorporating innovative materials into SMA designs, developing effective and reliable mix design methodologies has become essential to ensure durability, sustainability, and cost-effectiveness. While performance tests have gained national acceptance for asphalt mix design and balanced mix design (BMD) methods have been adopted in many states for hot mix asphalt (HMA), SMA has not been fully considered with the BMD implementation. This study aimed to develop a BMD approach for SMA, incorporating both SMA-specific volumetric parameters and performance requirements. To …

Data-Driven Shear Capacity Prediction Of Studs Embedded In Uhpc For Steel-Uhpc Composite Structures, Yanping Zhu, Woubishet Zewdu Taffese, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study employs ensemble learning algorithms to accurately predict the shear capacity of studs embedded in ultrahigh performance concrete (UHPC), a critical aspect of structural engineering. Using a comprehensive data set featuring six UHPC slab features, seven stud features, and one shear pocket feature, 35 ensemble models are developed across five cases and seven algorithms (bagging, random forest, AdaBoost, gradient boosting, XGBoost, CatBoost, and LightGBM). The Shapley additive explanations (SHAP) analysis is conducted on the top-performing models to gain insights into their decision-making mechanisms. Results indicate that transforming UHPC slab geometry parameters into a volume, alongside different diameter ratios, proves …