Digital Commons Network^™

Neurosymbolic Ai Approach To Attribution In Large Language Models, Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth

Faculty Publications

Attribution in large language models (LLMs) remains a significant challenge, particularly in ensuring the factual accuracy and reliability of the generated outputs. Current methods for citation or attribution, such as those employed by tools like Perplexity.ai and Bing Search-integrated LLMs, attempt to ground responses by providing real-time search results and citations. However, so far, these approaches suffer from issues such as hallucinations, biases, surface-level relevance matching, and the complexity of managing vast, unfiltered knowledge sources. While tools like Perplexity.ai dynamically integrate web-based information and citations, they often rely on inconsistent sources such as blog posts or unreliable sources, which limits …

On The Performance Of A Photonic Reconfigurable Electromagnetic Band Gap Antenna Array For 5g Applications, Taha A. Elwi, Fatma Taher, Bal S. Virdee, Mohammad Alibakhshikenari, Ignacio J.Garcia Zuazola, Astrit Krasniqi, Amna Shibib Kamel, Nurhan Turker Tokan, Salahuddin Khan, Naser Ojaroudi Parchin, Patrizia Livreri, Iyad Dayoub, Giovanni Pau, Sonia Aissa, Ernesto Limiti, Mohamed Fathy Abo Sree

All Works

In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed array consists of four radiating elements and an Electromagnetic Band Gap (EBG) structure. Planar monopole radiating elements are employed in the array with Coplanar Waveguide Ports (CWPs). Each CWP is grounded on one side to a reflecting L-shaped structure that has an effect of improving the antenna's directivity. It is shown that by inductively connecting Minkowski fractal structure of 1^{st} order to the radiating element, the impedance matching is improved that results in enhancement in the array's bandwidth performance. The EBG structure …

Accelerating Cavity Fault Prediction Using Deep Learning At Jefferson Laboratory, Md M. Rahman, A. Carpenter, K. Iftekharuddin, C. Tennant

Electrical & Computer Engineering Faculty Publications

Accelerating cavities are an integral part of the continuous electron beam accelerator facility (CEBAF) at Jefferson Laboratory. When any of the over 400 cavities in CEBAF experiences a fault, it disrupts beam delivery to experimental user halls. In this study, we propose the use of a deep learning model to predict slowly developing cavity faults. By utilizing pre-fault signals, we train a long short-term memory-convolutional neural network binary classifier to distinguish between radio-frequency (RF) signals during normal operation and RF signals indicative of impending faults. We optimize the model by adjusting the fault confidence threshold and implementing a multiple consecutive …

Investigation Of The Effect Of Preparation Parameters On The Structural And Mechanical Properties Of Gelatin/Elastin/Sodium Hyaluronate Scaffolds Fabricated By The Combined Foaming And Freeze-Drying Techniques, Mansour Qamash, S. Misagh Imani, Meisam Omidi, Ciara Glancy, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

This paper aimed to evaluate the effects of different preparation parameters, including agitation speed, agitation time, and chilling temperature, on the structural and mechanical properties of a novel gelatin/elastin/sodium hyaluronate tissue engineering scaffold, recently developed by our research group. Fabricated using a combination of foaming and freeze-drying techniques, the scaffolds were assessed to understand how these parameters influence their morphology, internal microstructure, porosity, mechanical properties, and degradation behavior. The fabrication process used in this study involved preparing a homogeneous aqueous solution containing 8% gelatin, 2% elastin, and 0.5% sodium hyaluronate (w/v), which was then subjected to mechanical agitation at speeds …

A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic

Electrical & Computer Engineering Faculty Publications

This paper reviews various sensor technologies for tank inspection, focusing on Light Detection and Ranging (LiDAR) and Hyperspectral Imaging (HSI) as advanced solutions for corrosion detection. These technologies are evaluated alongside traditional methods such as ultrasonic, electromagnetic, and thermographic inspections. This review highlights their potential to enhance inspection accuracy, reduce the limitations of manual inspection, and support integrated data analysis for comprehensive asset management. Additionally, this paper proposes a pathway for automating these techniques to streamline inspection processes and improve implementation in practical applications.

Comparative Analysis Of Machine Learning Models For Predicting Healthcare Traffic: Insights For Optimized Emergency Response, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md. Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md Rafid Hasan, Nondon Lal Dey, Md Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Efficient management of healthcare traffic is crucial for ensuring timely access to medical services, particularly in emergency situations where delays can have severe consequences. This study presents a comparative analysis of three widely used machine learning models—Linear Regression, Decision Trees, and Random Forests—aimed at predicting healthcare-related traffic volumes. A large dataset from a metropolitan traffic system was used to train and evaluate the models based on key performance indicators, including Mean Squared Error (MSE), R² Score, and computational efficiency. The results reveal that the Random Forest model offers the best performance, achieving higher predictive accuracy and faster execution times compared …

Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …

Distance Estimation Based On Step Frequency Using Accelerometer Data, Rami M. Al-Naimat, Khawlah M. Harahsheh, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

In recent years, smartphone sensors have become one of the most important and easily available sensors to facilitate people's lives, especially in health care and positioning (indoor environments). However, the data coming from smartphone sensors can be distorted during the user’s movement such as irrelevant movements, walk mode, and speed of walking. This distortion (noise) impairs the estimated distance accuracy (accumulative error) which increases with increasing walking distance. In addition, the accuracy of the distance traveled is affected by the user's speed, as the speed affects the step length. This work proposes a novel approach for calculating step length in …

Designing High-Performance Identity-Based Quantum Signature Protocol With Strong Security, Sunil Prajapat, Pankaj Kumar, Sandeep Kumar, Ashok Kumar Das, Sachin Shetty, M. Shamim Hossain

VMASC Publications

Due to the rapid advancement of quantum computers, there has been a furious race for quantum technologies in academia and industry. Quantum cryptography is an important tool for achieving security services during quantum communication. Designated verifier signature, a variant of quantum cryptography, is very useful in applications like the Internet of Things (IoT) and auctions. An identity-based quantum-designated verifier signature (QDVS) scheme is suggested in this work. Our protocol features security attributes like eavesdropping, non-repudiation, designated verification, and hiding sources attacks. Additionally, it is protected from attacks on forgery, inter-resending, and impersonation. The proposed scheme benefits from the traditional designated …

Aggregation And Oligomerization Characterization Of Ss-Lactoglobulin Protein Using A Solid-State Nanopore Sensor, Mitu C. Acharjee, Brad Ledden, Brian Thomas, Xianglan He, Troy Messina, Jason Giurleo, David Talaga, Jiali Li

Physics Faculty Publications and Presentations

Protein aggregation is linked to many chronic and devastating neurodegenerative human diseases and is strongly associated with aging. This work demonstrates that protein aggregation and oligomerization can be evaluated by a solid-state nanopore method at the single molecule level. A silicon nitride nanopore sensor was used to characterize both the amyloidogenic and native-state oligomerization of a model protein ß-lactoglobulin variant A (βLGa). The findings from the nanopore measurements are validated against atomic force microscopy (AFM) and dynamic light scattering (DLS) data, comparing βLGa aggregation from the same samples at various stages. By calibrating with linear and circular dsDNA, this study …

An Ai-Based Conceptual Framework To Improve Program Management Of Complex Systems, Michael D. Parrish, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

With evolving technologies, changing requirements, and limited budgets, governments and industries need to consider new methodologies to help streamline program lifecycle management, from cradle to grave, to ensure projects are delivered on time, on budget, and to the expected performance standards. Traditional approaches fail to adequately address the added complexities of System of Systems programs such as integration, interoperability, and variable lifecycle of subcomponents. The objective of this study is to assess and address the research question - can a new acquisition approach be designed to address and improve program lifecycle management of complex systems? A comparison study, using the …

A Systematic Review Of Phenotypic And Epigenetic Clocks Used For Aging And Mortality Quantification In Humans, Brandon Warner, Edward Ratner, Anirban Datta, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Aging is the leading driver of disease in humans and has profound impacts on mortality. Biological clocks are used to measure the aging process in the hopes of identifying possible interventions. Biological clocks may be categorized as phenotypic or epigenetic, where phenotypic clocks use easily measurable clinical biomarkers, and epigenetic clocks use cellular methylation data. In recent years, methylation clocks have attained phenomenal performance when predicting chronological age and have been linked to various age-related diseases. Additionally, phenotypic clocks have been proven to be able to predict mortality better than chronological age, providing intracellular insights into the aging process. This …

The Impact Of Journalistic Cultures On Social Media Discourse: Us Primary Debates In Cross-Lingual Online Spaces, Lea Hellmueller, Lindita Camaj, Sebastián Vallejo Vera, Peggy Lindner

Engineering Management and Systems Engineering Faculty Research & Creative Works

This cross-lingual project examines how social media posts of Spanish- and English-language media impact incivility in user comments during the 2020 primary political debates in the United States. We analyzed Facebook posts of news organizations that hosted the debates and used a state-of-the-art machine-learning model to analyze the corresponding comments. Our findings reveal distinct journalistic cultures on the post-level: English-language media are significantly more likely to use interpretation while Spanish-language media employ more audience-engagement and factual reporting strategies. We argue that in order to understand incivility in social media discourse during political debates, we need to consider journalistic cultures: While …

The Role Of Interpersonal Conflict As A Cause Of Work-Related Stress In Construction Managers In Ireland, Patrick J. Bruce, Victor Hrymak, Carol M. Bruce Dr, Joseph Byrne

Articles

Construction is a project-driven industry that places a high premium on product delivery on time, within budget and to required standards. Modern construction projects have become more complex in nature, the complex relational and lengthy process of designing and building makes construction a process in which conflict is virtually ensured (Jaffar et al., 2011; Wang et al., 2023). These characteristics of the industry contribute to workplace stress. Therefore, it is not surprising that research has confirmed a strong presence of workplace stress within the industry, (Lingard and Francis, 2004; Vaux and Dority, 2020). Many construction managers experience excessive levels of …

Developing Smart Textiles Encapsulated With Single Walled Carbon Nanotubes For Biomedical Applications, Devleena Chowdhury

Open Access Master's Theses

This thesis investigates the creation of core-shell nanofibers for enhanced wound healing applications using a variety of polymer combinations. Chronic wounds are a major worry in the biomedical sector, and researchers are looking at new materials to help the healing process. The PVDF/PVA core-shell structure with single-walled carbon nanotubes (SWCNTs) was chosen due to its balanced mechanical strength, high biocompatibility, and DNA-SWCNT complex stability. PVDF is a preferred shell material due to its biocompatibility and water solubility, making it excellent for wound dressings, implanted scaffolds, and sensors that monitor healing.

The study focuses on improving the electrospinning method to produce …

02.19.2024 Orsp Connect, Liz Williamson

ORED Newsletter

UM Library Training for Researchers, Kendra Sampey spotlight, School of Pharmacy's Research Day, MS Aerospace and Defense Symposium on March 29

Dental Students’ Psychological Stress: A Comprehensive Investigation Of Stress Inducing Factors At Mohammed Vi University Of Sciences And Health, Latifa El Mouden, Elmehdi Fettach

Health Sciences

Dental students are significantly confronted with mental health problems. We conducted a prospective recruitment of students at the Faculty of Dentistry of the Mohammed VI University of Sciences and Health to investigate the determinants of stress specific to this population in order to find solutions to improve their quality of life. In our study, 410 students responded to the survey, the average age of the students was 21.51 ± 2.102 years, 70% were female, 30% were in their 6th year, and 60% of the students were from Casablanca. The average MSP-25B score was 101.94 ± 33.035. In our study, there …

Distal Urogenital Anatomy And Epithelial Morphology In The Male Cajun Chorus Frog, Pseudacris Fouquettei (Anura: Hylidae), S.E. Trauth

Journal of the Arkansas Academy of Science

I examined the microanatomy of the distal urogenital system in male Cajun Chorus Frogs (Pseudacris fouquettei) from a small sample (n = 6) collected in central Arkansas in March 2018 and February 2023. Specifically, my primary objectives were to investigate the following: (1) the paired Wolffian (urogenital) ducts caudally from the kidneys to their merging with the urodeum of the cloaca, (2) the structure of seminal vesicles (if present), and (3) the epithelial morphologies among the distal urogenital tract, the posterior alimentary canal, and cloaca. My histological analysis confirmed the presence of ampullae (sperm storage structures) as mid-duct expansions of …

Use Of Google Earth Streetview To Evaluate Nesting By The Cliff Swallow (Petrochelidon Pyrrhonota) In Lowlands Of Eastern Arkansas, With Reports Of New Records, R. Tumlison, Z. Autrey

Journal of the Arkansas Academy of Science

Cliff Swallows (Petrochelidon pyrrhonota) typically construct their mud nests under the overhangs of cliffs. However, construction of concrete bridges and overpasses has provided suitable nesting structure in the last few decades. As the number of such nesting sites have increased, the breeding range also has expanded. We evaluated the use of Google Earth Streetview as a means of cheaply harvesting data regarding nesting distribution. The gourd-shaped nests of Cliff Swallows were easily discernible via available imagery, and we were able to document previously unreported nest sites of this species in 6 counties in eastern Arkansas (5 from imagery, 1 from …

Shell Damage Patterns In Limpkin Mussel Middens At Bois D’Arc Lake, Arkansas, G.R. Graves

Journal of the Arkansas Academy of Science

The Limpkin (Aramus guarauna) is rapidly colonizing the lower Mississippi Valley from recently established Gulf Coast populations. Anecdotal reports indicate that it feeds on freshwater mussels and gastropods in Arkansas, but without documentation. Here I report an analysis of Limpkin shell middens from Bois d’Arc Lake in Hempstead Co. Limpkins at this location preyed heavily on Pyganodon grandis (Giant Floater), a large mussel species widely distributed in the Mississippi Valley. Limpkins employ vigorous bill blows to pierce holes in mussels and usually attack the anterior end of the shell. Video and photographs of feeding birds provide new insight on the …

X-Ray Diffraction And Petrographic Analysis Of Magnet Cove Carbonatite Core, Arkansas, R.E. Mero, D. Mayo, M.P. Testa

Journal of the Arkansas Academy of Science

Geothermal activity such as hot springs are known to precipitate calcium carbonate (CaCO3) minerals, producing rocks such as tufa, travertine and sometimes associated with carbonatite. The precipitation of CaCO is caused by the reduction of CO, which is less soluble in warmer waters. Geothermal heating of water in natural springs drives this precipitation of CaCO3 in areas of Arkansas including Magnet Cove. Magnet Cove, Arkansas is an alkalic igneous rock complex that is composed of a series of ring dikes post-Mississippian in age. These dikes have intruded into faulted and folded Paleozoic sedimentary rocks. One of these igneous dikes is …

An Application Of Cfd To Support The Development Of Treatment Strategies And Technology For The Management Of Cystic Fibrosis In Pediatric Patients, Morgan L. Thomas

Theses and Dissertations

Inhaled medications are a key treatment modality in multiple lung-related diseases and disorders. Considering children with cystic fibrosis (CF), improvements in the delivery of aerosol antibiotics have the potential to better eradicate bacterial lung infections, preserve lung function and thereby further extend lifespans and quality of life. The overall objective of this dissertation was to expand and validate CFD models for predicting the deposition of pharmaceutical aerosols throughout the airways and apply these models to understand the targeted delivery of inhaled antibiotics to children with CF. To accomplish this goal, three contributions were made. First, CFD methodologies for modeling aerosol …

Highlighting Opportunities For Anaerobic Co-Digestion Of Food Waste From Universities With Pulp And Paper Mill Sludge, Md Nizam Uddin

College of Graduate Studies: Theses & Dissertations

The disposal of food waste (FW) in landfills presents significant environmental and economic challenges, including greenhouse gas emissions and loss of potential resources. Concurrently, the pulp and paper industry, a major sector in the United States, generates substantial quantities of recalcitrant organic waste that is high in lignocellulosic content. Anaerobic co-digestion of FW with pulp and paper mill sludge (PPMS) emerges as a potential strategy to address both waste streams simultaneously, potentially enhancing organic matter degradation and biogas yield. However, the efficacy of this co-digestion approach and its broader sustainability implications remain insufficiently characterized. This study employs laboratory-scale experiments to …

Theoretical Investigations Of The Structural, Dynamical, Electronic, Magnetic, And Thermoelectric Properties Of CoMRhsi (M = Cr, Mn) Quaternary Heusler Alloys, Abdullah Hzzazi, Hind Alqurashi, Eesha Andharia, Bothina Hamad, M. O. Manasreh

Physics Faculty Publications and Presentations

The structural, dynamical, electrical, magnetic, and thermoelectric properties of CoMRhSi (M = Cr, Mn) quaternary Heusler alloys (QHAs) were investigated using density functional theory (DFT). The Y-type-II crystal structure was found to be the most stable configuration for these QHAs. Both CoCrRhSi and CoMnRhSi alloys possess a half-metallic behavior with a 100% spin-polarization as the majority spin channel is metallic. On the other hand, the minority spin channel is semiconducting with narrow indirect band gaps of 0.54 eV and 0.57 eV, respectively, along the Γ−𝑋 high symmetry line. In addition, both CoCrRhSi and CoMnRhSi alloys possess a ferromagnetic structure …

System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Limited skilled labor has been one of the greatest challenges facing the construction industry, especially after COVID. In 2019, around 80% of contractors in the US reported problems in hiring enough skilled workers. Labor retention has been one of the major contributors to skilled labor shortages in construction. The goal of this paper is to study the impact of key construction industry characteristics and economic conditions on skilled labor shortages. This goal is achieved by simulating the flow of skilled workers throughout the construction industry. To this end, a system dynamics (SD) model was developed to represent skilled labor and …

An Agent-Based Cellular Automaton Simulation Model To Study Worker Safety Behavior On Construction Sites: The Impacts Of Different Social Influence Rules, Rayan H. Assaad, Mohamad Abdul Nabi, Ghiwa Assaf, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The unsafe behavior of the construction workforce is one of the leading causes of accidents in the construction industry. It has been shown that construction laborers perceive the safety behavior of their co-workers and adjust their personal safety attitudes accordingly. Thus, there has been an increasing attention to studying the impacts of the social influence and norms on the safety behavior of construction workers. While existing studies examined the factors that influence the safety behavior of the construction workforce, there is little-to-no research that specifically focused on modeling the role of social influence on the safety behavior of the workers. …

Data-Driven Analysis Of Progressive Design Build In Water And Wastewater Infrastructure Projects, Fareed Salih, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The United States has invested heavily in water and wastewater infrastructure projects to address growing demand and aging systems. To ensure the effective delivery of these projects, agencies are shifting toward alternative delivery methods such as progressive design build (PDB), which has demonstrated accelerated schedule and enhanced cost performance across the literature as well as multiple projects compared to traditional DB. This has raised a need for evaluating PDB's state of adoption and performance in the water and wastewater sector. To this end, the authors: (1) conducted descriptive and statistical analyses of the 21 PDB water and wastewater projects available …

Pharmacology Of Boldine: Summary Of The Field And Update On Recent Advances, Juan C. Sáez, Justin C. Burrell, Catherine M. Cahill, D. Kacy Cullen, Lakshmi A. Devi, Ryan J. Gilbert, Zachary A. Graham, Vadim J. Gurvich, Leif A. Havton, Ravi Iyengar, Rajesh Khanna, Edmund F. Palermo, Mustafa Siddiq, Carlos A. Toro, Walter Vasquez, Wei Zhao, Christopher P. Cardozo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Over the past decade, boldine, a naturally occurring alkaloid found in several plant species including the Chilean Boldo tree, has garnered attention for its efficacy in rodent models of human disease. Some of the properties that have been attributed to boldine include antioxidant activities, neuroprotective and analgesic actions, hepatoprotective effects, anti-inflammatory actions, cardioprotective effects and anticancer potential. Compelling data now indicates that boldine blocks connexin (Cx) hemichannels (HCs) and that many if not all of its effects in rodent models of injury and disease are due to CxHC blockade. Here we provide an overview of boldine's pharmacological properties, including its …

Identifying The Job Characteristics Affecting Construction Firm Employee Turnover Intention, Seog Jae Choi

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Researchers have proved that employees who have the intention to quit the organization, called turnover intention, have decreased productivity and may not fulfill their duties properly. The turnover intention has a negative relationship with the quality of core job characteristics of the organization. As the construction industry has distinctive characteristics compared to other industries, the job characteristics that influence turnover intention need to be explored separately. This study identifies job characteristics of the construction industry that can affect turnover intention. Through the literature review, autonomy, task identity, required skill variety, task significance, justification in assigning work location, and job security …

Freyr⁺: Harvesting Idle Resources In Serverless Computing Via Deep Reinforcement Learning, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung Jong Park

Computer Science Faculty Research & Creative Works

Serverless computing has revolutionized online service development and deployment with ease-to-use operations, auto-scaling, fine-grained resource allocation, and pay-as-you-go pricing. However, a gap remains in configuring serverless functions - the actual resource consumption may vary due to function types, dependencies, and input data sizes, thus mismatching the static resource configuration by users. Dynamic resource consumption against static configuration may lead to either poor function execution performance or low utilization. This paper proposes Freyr+, a novel resource manager (RM) that dynamically harvests idle resources from over-provisioned functions to accelerate under-provisioned functions for serverless platforms. Freyr+ monitors each function's resource utilization in real-time …