Digital Commons Network^™

Synergy In Materials: Leveraging Phosphosilicate Waste Forms For Electrochemical Salt Waste, Jonathan S. Evarts, Brian J. Riley, Charmayne E. Lonergan, Michaella S. Harris, Jincheng Bai, Eric W. Bohannan, Iheanyichukwu Ajoku, Saehwa Chong, John S. Mccloy

Materials Science and Engineering Faculty Research & Creative Works

Waste forms containing glassy and crystalline phosphate and silicate phases were produced to immobilize salt waste simulants from pyro processing and characterized by using Raman spectroscopy, Mössbauer spectroscopy, X-ray diffraction, scanning electron microscopy, heat capacity, and chemical durability measurements. In this work, a phosphosilicate waste form is presented to leverage the benefits of both borosilicate glasses and iron phosphate glasses. To improve waste loading, prior to immobilization, salt simulants were successfully dechlorinated using ammonium dihydrogen phosphate, mixed with a borosilicate frit (5–30 wt. %) and Fe2O3, and vitrified. Additions of 2.5–15 wt. % borosilicate glass (NBS3) improved normalized release rates …

Bear Lake Water Quality And Chemistry: 114 Years Of Water Management, Connely Baldwin

Spring Runoff Conference

Motivation: Fall 2024 Bear Lake Sediment-Nutrient Reduction Workshop (Bear Lake Watch) motivated deeper dive into water quality and chemistry status and trends

Innovative Genetic Methods For Predicting Microcystin Toxin Production In Cyanobacterial Blooms: Real-Time And Pre-Bloom Public Health Monitoring, Liyuan Hou

Spring Runoff Conference

EQL emphasizes an integrated engineering and science approach to the environmental quality of land, water, and air

From Vulnerabilities And Concern To Action: How Perceived Climate Vulnerabilities And Concern For The Great Salt Lake Desiccation Shape Utahns’ Migration Decision, Mufti Nadimul Quamar Ahmed, Jennifer E. Givens

Spring Runoff Conference

In light of the current climate crisis, how do Utahns perceive their climate or disaster vulnerabilities and concern for the Great Salt Lake desiccation? Does the perception of vulnerabilities and concern for the Great Salt Lake desiccation influence their intention to migrate from Utah?

We Shall Have A Seat At The Table, Yanna Liang

Spring Runoff Conference

Uniqueness of ESE 

• The only environmental BS program in the nation that has “Sustainable” in its title.
• Sustainability in water treatment, air pollution control, energy production, resource re-utilization 

The Once And Future Variability Of Colorado River Water Resources, Balaji Rajagopalan

Spring Runoff Conference

The Plot – “Millennium Drought” Since 2000 

• Current Water Crisis 

Key Characteristics Of Long-Lived Portland Cement Concrete Airfield Pavements In The United States Air Force Enterprise, Cameron J. Palmer

Theses and Dissertations

The United States Air Force maintains a $30 billion portfolio of airfield pavements essential for national security. Despite their importance, budget constraints have limited average annual repair funding to $260 million over the past decade, requiring pavements to last significantly longer than their typical life span. This project addresses the central question: What design features or characteristics contribute to the longevity of Portland Cement Concrete (PCC) airfield pavements? Utilizing data from AFCEC's Airfield Pavement Evaluation (APE) team and the PAVER sustainment management system, this study employed linear regression, logistic regression, and deep artificial neural network (ANN) modeling techniques to identify …

Abundance And Prevalence Of Antibiotic-Resistant Escherichia Coli In Tangipahoa Parish, Louisiana Water Bodies Impacted By On-Site Wastewater Treatment System Effluent, Katherine Weise

LSU Master's Theses

Antimicrobial resistance (AMR) is a growing public health concern, especially with the spread of extended-spectrum beta-lactamase (ESBL) producing Escherichia coli. This study examined the prevalence and abundance of antibiotic-resistant E. coli in Yellow Water (YW) and Natalbany River (NR) in Tangipahoa Parish, Louisiana, which receive effluent from decentralized wastewater treatment systems. Monthly surface water grab samples were collected at four sites on each river from February 2023 to July 2024 and screened for generic and antibiotic-resistant E. coli using membrane filtration with ceftriaxone and cefotaxime as screening agents per the WHO Tricycle Protocol. We evaluated resistance patterns of the …

Per- And Polyfluoroalkyl Substance (Pfas) Degradation In Water And Soil Using Cold Atmospheric Plasma (Cap): A Review, Victor Somtochukwu Mbanugo, Boluwatife Stephen Ojo, Ta Chun Lin, Yue-Wern Huang, Marek Locmelis, Daoru Han

Biological Sciences Faculty Research & Creative Works

Per- and polyfluoroalkyl substances (PFASs) are persistent organic chemicals found in numerous industrial applications and everyday products. The excessive amounts of PFASs in water and soil, together with their link to severe health issues, have prompted substantial public concerns, making their removal from the environment a necessity. Existing degradation techniques are frequently lacking due to their low efficiency, cost-effectiveness, and potential for secondary contamination. Cold Atmospheric Plasma (CAP) technology has emerged as a promising alternative, utilizing energized reactive species to break down PFASs under ambient conditions. Therefore, this review examines the efficacy and effectiveness of CAP in degrading PFASs by …

Soil Health And Water Conservation, Tony Richards

Spring Runoff Conference

What are Healthy Soils? 

• Stable 
• Functional 
• Productive 
• Resilient 

Generalized Plant Disease Detection Using Residual Networks With Eca And Senet Integration, Asmaa Aly Hagar, Marwa Reda Bastwesy, Reda Elbasiony, Mohamed Talaat Faheem

Journal of Engineering Research

Early and accurate detection of plant leaf diseases is crucial for safeguarding agricultural productivity and ensuring food security. Traditional methods of plant disease detection, which often rely on manual inspections and specialized models, encounter challenges such as limited scalability, data annotation difficulties, and task-spe-cific constraints. This paper introduces two innovative and general-ized approaches for plant disease detection by combining Residual Networks with channel attention modules. The first approach inte-grates ResNet-101, the Efficient Channel Attention (ECA) mecha-nism, and the Squeeze-and-Excitation Network (SENet), while the second combines ResNetRS-101 with the ECA mechanism. These models leverage the strengths of ResNets, the dynamic channel …

Controlling Verticality Of High-Rise Buildings Using Gnss Techniques Integrated With Laser Plummet, Nasr Mohammady Saba, Yanqing Gao Yanqing, Salem Salama Saleh

Journal of Engineering Research

Maintaining vertical alignment is crucial in the construction of high-rise buildings (HRBs). Traditionally, construction teams use laser plummets to transfer reference point coordinates from the foundation to each floor through openings in the concrete slabs. However, as building height increases, the accuracy of the laser beam can be affected, necessitating verification. In an urban development project in Al Alamein, Egypt, the use of the Global Navigation Satellite System (GNSS) was proposed to monitor verticality during construction. For the 270-meter-tall T-TOWER, nine monitoring points were established on the foundation to define the building’s axes for each slab. These points were transferred …

A Generalized Plant Disease Detection Technique Based On Residual Network With Efficient Channel Attention, Asmaa Aly Hagar, Marwa Reda Bastwesy, Reda Elbasiony, Mohamed Talaat Saidahmed

Journal of Engineering Research

The detection of plant diseases a vital task for ensuring crop health and optimizing agricultural productivity. Machine learning and computer vision have significantly advanced the automation of plant disease detection. However, traditional methods face several challenges, particularly with data annotation and the limitations of task-specific models, which often fail to generalize across different plant diseases. These methods are hindered by their reliance on models tailored to individual crops and the ongoing need for manual inspections, leading to inefficiencies and restricted scalability. This study proposes a method designed to enable the efficient and accurate identification of a broad range of plant …

Using Sheet Piles To Control Contaminant Transport From Different Sources Through The Soil, Eslam Kashef Elgmmal Eslam K. Elgmmal, Ibrahim Mohamed Rashwan, H. Omara

Journal of Engineering Research

Contaminants can reach the excavation site and lead to groundwater contamination. The present research investigates the effect of using sheet piles for controlling the migration of contaminants to excavation sites that require high-quality groundwater, taking into consideration changing concentrations of contaminants and changing soil surface depth downstream of the sheet piles. The arrival time of contamination to reach under the sheet piles and the time for reaching contamination to the excavation site were studied. Additionally, the effect of using two different sources of contaminants with different concentrations on the mixing time between them through groundwater was investigated. Two modules, SEEP/W …

Water Quality Assessment Of Irrigation Streams Within Dakahlia Governorate, Egypt, Mahy Adel Elbialy, Ibrahim Mohamed Rashwan, Saleh Shalaby, Ahmed Shalby

Journal of Engineering Research

Water quality degradation is a major global concern and a significant threat to human health. In Egypt, extensive agricultural runoff enriched with fertilizers, pesticides, and herbicides endangers the aquatic ecosystems. Accordingly, a reliable water quality monitoring and assessment program is crucial for formulating a management strategy aimed at water resource protection. Indeed, water quality assessment implies a challenge in identifying sampling locations, frequencies and monitored parameters. This paper aims to report on the water quality state of some irrigation streams in the Dakahlia governorate, Egypt. A systematic monitoring program was implemented through three field campaigns conducted in November 2023, February …

Great Salt Lake Model Depletion, Katherine Wright

Spring Runoff Conference

When does water leasing make sense? Using New Information to Make Better Leases.

Lease, but only if it makes sense.

• Farmers have a legal right to use water on their farms for agriculture.
• Leasing might be a good economic decision for you, but not your neighbor.
• Leasing is voluntary, the purpose of this presentation is to explain the benefits of leasing and give you the information you need to decide if it is right for you. 

Utah Water Research Lab, David Tarboton

Spring Runoff Conference

The concept of a dedicated water research laboratory evolved over years, with significant contributions from Vaughn E. Hansen, Dean F. Peterson, and George D. Clyde. The UWRL represents the culmination of a long-held vision at USU to advance water research.

Role Of Eye-Tracking Technology And Software Algorithms In Enhancing Adhd Detection And Diagnosis: A Systematic Literature Review, Lauren E. Perkins

Honors College Theses

This systematic literature review explores the role of eye-tracking technology and software algorithms in enhancing the detection and diagnosis of ADHD. ADHD, a neurodevelopmental disorder affecting both children and adults, is traditionally diagnosed through behavioral assessments, which may lack objectivity. Recent studies suggest that eye-tracking, specifically focusing on saccades, fixations, and blink rates, offers the potential for more accurate and objective measures of ADHD. The review examines clinical trials, observational studies, and machine learning research to assess the correlation between ADHD and eye movement patterns. Results indicate that individuals with ADHD exhibit distinct eye movement patterns, which can be quantified …

Comprehensive Sensing Analysis Of Ofdm Waveform For Future Jrc And Radar Systems, Mehmet Yazgan

USF Tampa Graduate Theses and Dissertations

In today’s interconnected world, sensing is one of the indispensable parts of wireless systems.The need to optimize and diversify the use of the radio frequency spectrum has reached unprecedented importance. Cutting-edge applications, including autonomous technologies, intelligent urban systems, and advanced monitoring, require solutions that can effectively merge communication and sensing functions within limited bandwidth. Orthogonal frequency division multiplexing (OFDM) has emerged as a leading contender in this field due to its superior ability to maximize spectral usage, resilience to multipath interference, and versatile signal configuration options. Reconsidering the use of the OFDM waveform for sensing purposes is undeniably essential due …

Assessment Indicator System For Siting Of Geologic Co2 Sequestration In Low-Porosity And Low-Permeability Saline Aquifers: A Case Study Of The Ordos Basin, Mou Yu, Wang Haofan, Shaanxi Key Laboratory For Carbon Neutral Technology, Carbon Neutrality College (Yulin), Northwest University, Xi’An 710069, China Xuejun, Ma Jinfeng, Luo Shaocheng, Li Lin, Ding Zhao

Coal Geology & Exploration

Objective CO₂ injection and geologic sequestration in deep saline aquifers as underground spatial resources represents an important means of achieving the targets of greenhouse gas emission reduction and carbon neutrality. Current assessments of the siting and potential for geologic CO₂ sequestration in saline aquifers focus primarily on the macroscopic basin and regional scales, with the assessment indicator system scarcely accounting for the suitability of low-porosity and low-permeability strata. Methods Using data from 192 wells in the Yusheng area, Ordos Basin, this study conducted the division and correlation of intervals bearing no hydrocarbon, carried out lithologic and physical interpretations …

Modeling The Pollution From Latrines In A Low- And Middle-Income Country Setting, Christopher Nenninger

USF Tampa Graduate Theses and Dissertations

Latrines are an important sanitation infrastructure that are critical to the United Nations’ effort to end open defecation and achieve the target regarding safely managed sanitation outlined in Sustainable Development Goal #6. This global effort has led to 40,000,000 new users being introduced to improved latrines each year, and this number is expected to increase as the world’s population grows. One of the drawbacks related to these new latrine additions is the potential increase in pollution from hydraulically connected latrine pits to shallow groundwater. This is especially problematic in low- and middle-income countries (LMICs), where communities are more likely to …

How Engineering Students Learn And Are Impacted By Empathy Training: A Multi-Year Study Of An Empathy Program Focused On Disability And Technology, Eric Schearer

Faculty Scholarship

Measurable results of efforts to teach empathy to engineering students are sparse and somewhat mixed. This study’s objectives are (O1) to understand how empathy training affects students’ professional development relative to other educational experiences, (O2) to track empathy changes due to training over multiple years, and (O3) to understand how and what students learn in empathy training environments.

Confirmation Of The Scanpyramids North Face Corridor In The Great Pyramid Of Giza Using Multi-Modal Image Fusion From Three Non-Destructive Testing Techniques, Thomas Schumacher, Polina Pugacheva, Hussien Allam, Alejandro Ramirez-Pinero, Benedikt Maier, Johannes Rupfle, Khalid Helal, Olga Popovych, Amr G. Hamza, Mohamed Sholqamy, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

Abstract While non-destructive testing (NDT) measurements have been reported individually for archeological surveys of cultural heritage structures, only a few studies to date have attempted to combine NDT images by means of image fusion (IF). In this article, novel multimodal IF results from three different NDT techniques collected at the Chevron located on the Great Pyramid of Giza (aka. as Khufu’s Pyramid) are presented. The Chevron is an assembly of limestone blocks located in front of the recently confirmed ScanPyramids North Face Corridor (SP-NFC), which had been previously hidden for 4500 years. Under the research activities of the ScanPyramids mission, …

Advancing Tka Biomechanics: From Joint Simulator To Boundary Condition Development, Yashar Ali Behnam

Electronic Theses and Dissertations

This dissertation addresses four specific aims that collectively attempted to advance the experimental and computational analysis of total knee arthroplasty (TKA) components. The first study focused on the development of a novel whole knee joint simulator capable of simultaneous tibiofemoral and patellofemoral knee loading. This simulator employs custom fixturing to facilitate dynamic, unconstrained, muscle-driven PF articulation alongside controlled TF contact mechanics. Validation against experimental measurements showed strong agreement, demonstrating the simulator's potential as a valuable tool for future TKA design and surgical technique investigations.

The second study verified implant-specific physiological boundary conditions which accurately simulate activities of daily living using …

Determinants Of Knee Motion In Health, Disease, And Repair, Sean Edward Higinbotham

Electronic Theses and Dissertations

The human knee joint is a complex and intricate structure, enabling a wide range of motions and facilitating various dynamic activities throughout a person's lifetime. The combination of the knee's complexity and its role as a primary load-bearing joint has made it susceptible to regular wear and tear, leading to pain and the development of Osteoarthritis (OA), to which, the only treatment currently is total knee arthroplasty (TKA). Despite TKA being a mature procedure, 20% of patients receiving a TKA are dissatisfied with their “new” knee. To reduce that 20% dissatisfaction and improve surgical outcomes, orthopedic companies are developing advanced …

Optimizing Parameters For Efficient Computation With Fully Homomorphic Encryption Schemes, Cavi̇dan Yakupoğlu Karaağaç, Kurt Rohloff

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we aim to provide a parameter selection approach for the BFVrns scheme, one of the prominent fully homomorphic encryption (FHE) schemes. Selecting parameters for lattice-based FHE schemes poses a practical challenge for both experts and nonexperts. To solve this problem, we introduce a hybrid approach that combines theoretical approach with experimental analysis. First, we employ regression analysis to examine the impact of parameters on both performance and security. The varying behavior of FHE parameters in terms of performance, security, and ciphertext expansion factor (CEF) makes parameter selection more challenging. To address this issue, we employ a multi-objective …

Decomposition Lstm With Dual Multi-Head Self-Attention For Wind Turbine Drivetrain State Forecasting, Haikun Jia, Huini Sun, Shuang Bai

Turkish Journal of Electrical Engineering and Computer Sciences

Due to the clean and renewable nature of wind energy, accurate prediction of rotor loads and operating states for wind turbine units has become of paramount importance. Currently, traditional methods relying on expert analysis combined with instrument testing for qualitative reasoning are both time-consuming and labor-intensive, and their accuracy guarantees are limited. In response to wind farm data entailing the interweaving of data from multiple sources and the diverse interrelations across various features and time steps, this study introduces a method for predicting rotor loads and operating states. Initially, we employ an iterative multi-scale seasonal-trend decomposition block to capture latent …

Synergistic Effects Of Copper Oxide-Stigmasterol Nanoparticles: A Novel Therapeutic Strategy For Oral Pathogen Biofilms And Oral Cancer, Althaf Hussain, Rym Ghimouz, Siva Prasad Panda, Uttam Prasad Panigrahy, Vanitha Marunganathan, Mohammed Rafi Shaik, Paramasivam Deepak, Nathiya Thiyagarajulu, Baji Shaik, Anahas Perianaika Matharasi Antonyraj, Mohd Asif Shah, Ajay Guru

All Works

Oral pathogen biofilms contribute to chronic infections, while oral cancer remains a significant health threat, emphasizing the need for effective therapeutic strategies. This study investigates the fabrication, characterization, and therapeutic potential of copper oxide-stigmasterol nanoparticles (CuO-SS NPs) for oral pathogen biofilm disruption and oral cancer treatment. The antimicrobial activity of CuO-SS NPs was evaluated against oral pathogens, including S. aureus, S. mutans, E. faecalis, and C. albicans. In cancer cell studies, CuO-SS NPs exhibited a concentration-dependent cytotoxicity, reducing cell viability from 88% at 15 µg/mL to 29.33% at 120 µg/mL, comparable to doxorubicin (24.3%). The CuO-SS NPs significantly upregulated the …

The Artificial Intelligence-Enhanced Echocardiographic Detection Of Congenital Heart Defects In The Fetus: A Mini-Review, Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang

Michigan Tech Publications

Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately diagnosing structural heart disease. In this review paper, we first outline the technical background of AI and echocardiography and then present an array of clinical applications, including image quality control, cardiac function measurements, defect detection, and classifications. Collectively, we answer how integrating AI technologies and echocardiography can help improve the detection of congenital heart defects. Particularly, the superior sensitivity of AI-based congenital heart defect (CHD) detection in the fetus (>90%) allows it to be potentially translated into the clinical workflow as an effective screening tool in …

Multikernel Embedded Fusion Unet (Mkef-Unet): A Robust Deep Learning Approach For Accurate Segmentation Of Chagas Parasites, Preet Kumar, Carlos Brito-Loeza, Lavdie Rada

Turkish Journal of Electrical Engineering and Computer Sciences

This paper introduces a novel approach for segmenting Chagas parasites on stained blood smear samples from mice during the acute phase of infection with Trypanosoma cruzi utilizing a U-Net-based deep learning model named multikernel embedded fusion UNet (MKEF-UNet). Our proposed model incorporates DenseNet-121 for feature extraction, a classifier module for predicting parasite information, and a segmentation decoder with multiscale feature fusion to generate precise segmentation results. Notably, the integration of the embedded vector module, multikernel convolutions with dilations, and advanced data augmentation techniques significantly enhance the model’s robustness and generalization capabilities. In extensive experiments on the Chagas dataset, MKEF-UNet achieves …