Investigation Of Magnesium-Potassium Phosphates As Potential Nuclear Waste Form For The Immobilization Of Minor Actinides, Hans Conrad Zur Loye, Petr Vecernik, Monika Kiselova, Vlastislav Kašpar, Hana Korenkova, Vlastimil Miller, Petr Bezdicka, Jan Šubrt, Natalija Murafa, Volodymyr Shkuropatenko, Sergey Sayenko

Faculty Publications

Several recent studies have evaluated technologies of spent nuclear fuel processing specifically for solidifying transuranic (TRU) waste as a by-product of fission. Of the TRU group, plutonium and the minor actinides will be responsible for the bulk of the radiotoxicity and heat generation of spent nuclear fuel in the long term (300 to 20,000 years). In this study, we investigated magnesium potassium phosphate (MKP)-based compounds as host waste forms for the encapsulation of inactive trivalent Nd and Sm as analogues of the minor trivalent actinides, Am and Cm. Waste forms were fabricated under ambient atmospheric conditions by adding 5 wt.% …

Development, Characterization, And Application Of Nanomaterials For Target Detection And Therapeutic Study, Yingfen Wu

Theses and Dissertations

Nanomaterials have emerged as a pivotal area of research in chemistry, driven by their unique properties that make them suitable for both industrial and biomedical applications. Among nanomaterials, nanozyme is a series of nanomaterials with enzyme-mimetic activities that can proceed with the catalytic reactions of natural enzymes, conferring significant potential for their use in various biomedical applications. Herein, we describe three types of nanomaterials products with distinct properties and applications: 1) Fe³⁺-doped graphene quantum dots (GQDs) for sensitive H₂O₂ detection; 2) ratiometric fluorescent nanoprobes based on near-infrared (NIR) semiconducting polymer dots for label-free detection of dopamine; and 3) Multifunctional near …

Deep Learning Approach For Dental Anomalies X-Ray Imaging Using Yolov8, Amelia Ritahani Ismail, Md Salim Sadman Taseen

Knowledge Engineering and Data Science

Dental X-ray imaging is a critical diagnostic tool for identifying various dental anomalies. However, manual interpretation is time-consuming, prone to human error, and requires specialized expertise. Deep learning models, particularly object detection frameworks like YOLO, have demonstrated promising results in automating medical image analysis. This study aims to develop and evaluate a YOLOv8-based deep learning model for automated detection and classification of 14 dental anomaly categories, including Caries, Crowns, Fillings, Implants, and Periapical lesions. The proposed approach addresses limitations in previous YOLO versions by leveraging anchor-free detection and enhanced feature extraction for improved accuracy. The model was trained on a …

Occupational Performance With Formstack: Academic Fieldwork Coordinator's Perceptions And Experiences, Sara Clark

Dissertations

This multiple descriptive case-study explored the perceptions and experiences of eight occupational therapy program academic fieldwork coordinators (AFWCs), regarding their usage of Formstack, as an online fieldwork data collection system. Previous survey research revealed that AFWCs had positive feelings about the new AOTA Fieldwork Performance Evaluation (AOTA, 2020) housed within Formstack (Sanders & Carpenter, 2024), but the AOTA AFWC national list-serve suggests frustration with the online platform itself. Past research by Sanders and Carpenter (2024) also recommended further investigation into the usability of Formstack. To this end, this inquiry focused on two research questions: (a) How do AFWCs at multiple …

Integrated Transcriptomics And Proteomics Study Of Starvation Selected Drosophila Melanogaster, Aavash Adhikari

UNLV Theses, Dissertations, Professional Papers, and Capstones

Drosophila melanogaster, selected for starvation resistance exhibits phenotypic traits such as increased body size, slower development, reduced fecundity and obesity like characteristics including higher lipid reserves and cardiac dysfunction. While prior studies have explored the metabolic and biochemical changes in these flies, the underlying genetic and molecular mechanisms remain unclear. This study aims to investigate the gene expression and protein abundance in starvation-selected Drosophila through RNAseq, proteomics, and integrating both datasets using the MixOmics package in R. I found differential gene expression in the fat body at the third instar larval stage, particularly in pathways related to lipid metabolism, calcium …

Biological Reduction Of Mixed Oxyanions In Wastewater Brine, Katherine J. Earp

UNLV Theses, Dissertations, Professional Papers, and Capstones

Treatment of contaminated brine water is an area of active research spurred by the use of advanced treatment technologies, such as membrane separation, reverse osmosis, ion exchange, etc. for water reuse and recycling, which has become critical due to the impact of climate change on water resources throughout the globe. Biological reduction of harmful organic and inorganic pollutants in water has been demonstrated as an effective method for water and wastewater treatment and would be a potential technology for brine treatment. However, biodegradation of contaminants in high salinity waters is challenging because most microbial communities cannot survive brine environments. The …

Understanding Levels Of Perceived Racism And Discrimination When Utilizing Perinatal Care, Alexandria S. Evans

UNLV Theses, Dissertations, Professional Papers, and Capstones

Social and structural determinants of health, grounded in historical racism and discrimination, significantly influence maternal health outcomes. Because of this, communities of color experience a higher burden of maternal health disparities. In the last several decades, there has been an increased awareness of the need to integrate critical race theory into public health research to address maternal health disparities in the context of perinatal care delivery, policy, and funding decisions.

This three-manuscript dissertation utilized mixed methods to examine the ways in which systemic racism and discrimination are perceived and how it impacts the utilization of perinatal care services in historically …

Uptake Of Contaminants Of Emerging Concerns (Cecs) By Plants Irrigated With Recycled Waters, Abid Hussain

UNLV Theses, Dissertations, Professional Papers, and Capstones

The increasing demand for water in arid and semi-arid regions necessitates the use of recycled water (RW) for irrigation. RW is a viable alternative to conventional irrigation water at most locations, but it can be a major route for contaminants of emerging concerns (CECs) to be taken up by the tissues of food crops, thereby leading to their subsequent entry into the food chain. CECs include pharmaceuticals, personal care products, and industrial chemicals that are generally present at low concentrations in environmental waters, hence their common designation as trace organic compounds (TOrCs), and CECs also include microbiological constituents such as …

Physiology And Genomics At The Bottom Of The World: Genome To Phenome, Amy Christine Klink

UNLV Theses, Dissertations, Professional Papers, and Capstones

Mammals are exposed to a suite of physiological challenges based on the environment in which they inhabit. Animal individuals can overcome challenges associated with the dynamic nature of their habitat through variation in phenotypic traits. The plasticity of a phenotype relies on an individual’s genome and the transcription factors that act on regulatory elements. Species living in Antarctica display physiological specializations to withstand harsh conditions, such as severe cold temperatures, shifts in available ice habitat, and annual fluctuations in daylight. To explore the connections between an individual’s genome and its phenotype, we investigated two physiologies of the Antarctic Weddell seal …

Using Neighborhood Information To Improve Fiber Direction Estimation From Neuroimaging Data, Anjan Mandal

UNLV Theses, Dissertations, Professional Papers, and Capstones

Accurately estimating neuronal fiber directions is crucial in neuroimaging analysis. The Ball-and-Stick Model (BSM), introduced by Behrens et al. (2003), and widely used in software tools like FSL, remains one of the most popular models for this purpose. BSM analyzes each voxel individually, based solely on its signal information.In this dissertation, we propose modifications to BSM, that incorporate signal information from neighboring voxels in the estimation process, potentially improving the accuracy of the estimates. Additionally, within the estimation process, we introduce two novel proposal distributions to enhance the efficiency of the Markov chain Monte Carlo sampling procedure on the simplex …

Self-Regulated Learning Through Self-Concordant Goals, Social Modeling And Sustainability Focus, Oana Mandrutiu-Iancu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Research has shown that when students spend time reflecting and autonomously selecting their college goals, they show high intrinsic motivation, low extrinsic motivation and improvement in emotional and social adjustment over the first several months of college. Despite of this, it is estimated that 77% of first- and second-year students are undecided on their major and many remain undecided as they transition into their junior and senior year. Moreover, in education settings the primary emphasis is on academic success, but focusing solely on academic goals is limiting. As learning is inherently social, academic and social domains cannot be separated, while …

Development And Testing The Predictability Of An Instrument Based On The Multi- Theory Model (Mtm) Of Health Behavior Change For Pre-Exposure Prophylaxis (Prep) Uptake Among People Of Color, Siddharth Raich

UNLV Theses, Dissertations, Professional Papers, and Capstones

HIV/AIDS continues to be a significant public health problem in the US and globally. In the US, it disproportionately affects people of color. In 2012, Pre-exposure Prophylaxis (PrEP) was approved by the FDA for HIV prevention. PrEP reduces the chances of acquiring HIV by 99% among people at high risk. However, PrEP uptake among people of color remains low. Therefore, this study aimed to develop and test the predictability of an instrument to describe the intent to initiate and sustain PrEP use among people of color. This research utilized an exploratory sequential mixed methods design based on the fourth-generation, multi-theory …

Developing A Remote Gamma Spectra Collection System For Radiation Sciences At The University Of Nevada, Las Vegas, Haven Searcy

UNLV Theses, Dissertations, Professional Papers, and Capstones

Educational institutions of all levels have been significantly impacted by the COVID-19 epidemic with none more so than higher education. The challenges faced by researchers are numerous while performing a study and have only increased since the pandemic. Many colleges or universities have halted research to cut off unnecessary contact in order to protect study participants and research personnel. In the Department of Health Physics and Diagnostic Sciences (DHPDS) at the University of Nevada Las Vegas, a solution was developed that would allow scientists and students alike to be able to analyze already prepared samples either in the lab or …

Alteration Of Peripheral Cytokines In Alzheimer’S Disease, Zhengshi Yang

UNLV Theses, Dissertations, Professional Papers, and Capstones

Alzheimer’s disease (AD) is a progressive neurodegenerative disease with the clinical symptoms of gradual cognitive decline and memory loss. Biologically, abnormal accumulation of Aβ (Aβ) plaque and tau tangles in the brain are the core pathological hallmarks in AD. Although inflammatory response is not specific to AD, emerging evidence suggests that the disrupted innate immune system within the central nervous system, particularly microglial activation, might act as the bridge linking Aβ aggregation to pathological phosphorylation and aggregation of tau. The inflammatory response was suggested to initially have a neuroprotective role of attempting to clear Aβ plaques, and then become neurotoxic …

Mechanically Cost-Effective Approach For Bipedal Walking In Robots Using Instantaneous Collision Angle, Smit R. Patel

UNLV Theses, Dissertations, Professional Papers, and Capstones

Humans, as bipedal locomotors, are effective at reducing the mechanical cost of transport (CoTmech) by adopting movement strategies and gaits that minimize energy expenditure for a given distance. By using different gaits at different speeds, leveraging their long spring-like tendons and muscle elasticity which store and release energy during movement, humans reduce the mechanical effort required for locomotion. Current locomotion solutions offered in bipedal robots, based on legacy walking and running gait models, are not great at energy efficiency unless walking at very low speeds. Additionally, the control system of robots, designed to ensure stability and adaptability, requires substantial resources, …

Delineating Genetic Influences On Neurodegenerative Disorders And Infectious Diseases Through Advanced Computational Methods, Xiaowei Zhuang

UNLV Theses, Dissertations, Professional Papers, and Capstones

Genetics plays a critical role in understanding the molecular mechanisms underlying neurodegenerative disorders and pathogen evolution in infectious diseases. For example, identifying genetic variants associated with a disease phenotype uncovers functional pathways that could lead to potential drug targets and therapeutic interventions. In addition, tracking the genetic evolution of pathogens enables early detection and warning of infectious disease outbreaks. In both applications, given the large amount of genetic data, advanced computational methods, including longitudinal and multivariate models, could significantly boost the statistical power and capture interrelationships among traits, environmental factors and genetic influences. This dissertation focuses on four applications of …

Addressing Low Molecular Weight Chemical Peaking Events During Direct Potable Reuse By Granular And Biological Activated Carbon, Ceonie Washington

UNLV Theses, Dissertations, Professional Papers, and Capstones

Direct Potable Reuse (DPR) is an innovative solution designed to address water scarcity by treating wastewater to directly produce safe drinking water. As droughts and water shortages become more frequent, DPR offers a sustainable and localized water supply by incorporating advanced treatment processes. DPR systems typically rely on a combination of technologies such as ozone followed by biological activated carbon (O3/BAC), reverse osmosis (RO), and advanced oxidation processes (AOPs) to remove a wide range of contaminants. However, low molecular weight organic compounds (LMWCs), particularly volatile organic compounds, can sometimes pass through RO membranes and AOP systems.

California's DPR regulations currently …

Dual-Channel Side Channel Attack: Improved Aes Key Decryption By Combining Power And Electromagnetic Side Channels With Convolutional Neural Networks, Sean P. O'Neill

Theses and Dissertations

This research introduces a novel DL approach for SCA that combines power consumption and EM signals to enhance encryption key deduction by leveraging a dual-channel CNN architecture. A new dataset, consisting of simultaneous power and EM signal collections during 128-bitAES encryption, was developed to train and evaluate the model’s effectiveness. The combined approach achieved an 88% reduction in traces needed, from 50 traces to 6, for encryption key classification, outperforming traditional methods such as random forest, DPA, DEMA,and individual side channel CNN models. These findings highlight the potential of integrating multiple side channels in SCA to improve performance without the …

An Adaptive And Parallel Direct Solver For Elliptic Partial Differential Equations, Damyn Chipman

Boise State University Theses and Dissertations

We introduce the quadtree-adaptive Hierarchical Poincaré-Steklov (QAHPS) method, an adaptive direct method for solving elliptic partial differential equations on a hierarchy of adaptively refined finite volume meshes. The QAHPS method builds up a solution operator set with O(N^3/2) complexity that acts as the factorization of the system matrix, with linear O(N) complexity for the application of the solution operator set to any number of right-hand side vectors. As the solution operator set is built up by merging local subdomains, it can be adapted as the mesh is refined and coarsened. The method is an …

Interpreting The Spatial Distribution Of Soil Properties With A Physically-Based Distributed Hydrological Model, Zamir Libohova, Marcelo Mancini, Hans Edwin Winzeler, Quentin D. Read, Ning Sun, Dylan Beaudette, Candiss Williams, Joshua Michael Blackstock, Sergio H.G. Silva, Nilton Curi, Kabindra Adhikari, Amanda Ashworth, Joshua O. Minai, Phillip R. Owens

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Digital soil maps are commonly data-driven as the development of physically-based models for soil mapping is difficult due to the complexity of soils. However, physically-based hydrologic models have been successful in simulating water dynamics. Since water movement is a major driver of pedogenesis, the physical rules that govern water movement might help explain and predict the spatial variation of soil properties. Here, we demonstrate the novel use of a physically-based, distributed hydrologic model to inform the spatial distribution of soil properties. The Distributed Hydrology Soil Vegetation Model (DHSVM) was utilized to simulate soil moisture content (SM) and water table …

Salivary Features Of Periodontitis And Gingivitis In Type 2 Diabetes Mellitus, Jeffrey L. Ebersole, Sreenatha S. Kirakodu, Xiaohua D. Zhang, Dolph Dawson, Craig S. Miller

Biostatistics Faculty Publications

Type 2 diabetes mellitus (T2DM) is associated with cellular abnormalities, tissue and organ dysfunctions, and periodontitis. This investigation examined the relationship between the oral microbiome and salivary biomarkers in T2DM patients with or without periodontitis. This cohort (35–80 years) included systemically healthy non-periodontitis (NP; n = 31), T2DM without periodontitis (DWoP; n = 32) and T2DM with periodontitis (DWP; n = 29). The oral microbiome [Operational Taxonomic Units (OTUs)] (16 s rRNA sequencing) and targeted host salivary biomarkers (immunoassays) were assessed. We identified 47 OTUs that were significantly different in abundance between NP samples and any disease subset or between …

White Hall Green Roof Proposal, Hope Dwyer

Biological and Agricultural Engineering Undergraduate Honors Theses

This project will propose designs for a GR system while determining the potential cost, the feasibility of the system implementation, as well as potential psychological and educational benefits of a GR system. These factors will be examined and evaluated with regard to two different proposed GR designs: extensive and intensive.

Assembly And Characterization Of 10 Cm × 10 Cm Cold Atmospheric Pressure Plasma Device, Sumona S. Islam

Boise State University Theses and Dissertations

The primary purpose of this thesis is to assemble, demonstrate, and characterize a Cold Atmospheric Pressure dielectric barrier discharge plasma array of large active plasma discharge region (10 cm × 10 cm). The array is fabricated using the Low Temperature Co-Fired Ceramic (LTCC) dielectric material system and silver paste in printing electrodes. It is important to find the optimal operating parameters of the device to achieve uniform emission and to achieve the best response out of the device, which is the main focus of this thesis. The device is assembled from 43 linear discharge elements. Several I-V sweep measurements, capacitance …

Opioid Knowledge And Experiences In Nebraska College Students, Natalie Holding

Theses/Capstones/Creative Projects

This study investigated opioid-related knowledge and experiences among 83 Nebraska college students, with an emphasis on awareness, perceived risks, and educational needs regarding opioids and the overdose-reversing drug, naloxone. For participants who have used opioids outside of a doctor’s orders, questions were asked regarding motivations, comorbidities, coping mechanisms, and treatment experiences. Data were collected via an anonymous survey featuring closed- and open-ended questions. Results showed that 41% of participants reported feeling moderately knowledgeable about opioid risks, while 34% felt only slightly knowledgeable. Although 80.7% of participants were aware of naloxone, most were uncertain either about (22.9%) or did not know …

Detecting N-Phenyl-2-Naphthylamine, L-Arabinose, D-Mannose, L-Phenylalanine, L-Methionine, And D-Trehalose Via Photocurrent Measurement, Feng Li, Ruoxi Yang, Jian Xu, Guohai Xu, Ye Wu

Faculty Publications

The concentration of small molecules reflects the normality of physiological processes in the human body, making the development of simple and efficient detection equipment essential. In this work, inspired by a facile strategy in point-of-care detection, two devices were fabricated to detect small molecules via photocurrent measurement. A linear response of the photocurrent against the concentration of the small molecules was found. In the first device, metal ions were introduced into gel substrates made by xanthan gum to enhance photocurrent response. N-phenyl-2-naphthylamine was measured when iron or manganese ions were used. L-Phenylalanine was measured when the gel was modified by …

Employing Raman Spectroscopy And Machine Learning For The Identification Of Breast Cancer, Ya Zhang, Zheng Li, Zhongqiang Li, Huaizhi Wang, Dinkar Regmi, Jian Zhang, Jiming Feng, Shaomian Yao, Jian Xu

Faculty Publications

Background: Breast cancer poses a significant health risk to women worldwide, with approximately 30% being diagnosed annually in the United States. The identification of cancerous mammary tissues from non-cancerous ones during surgery is crucial for the complete removal of tumors. Results: Our study innovatively utilized machine learning techniques (Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN)) alongside Raman spectroscopy to streamline and hasten the differentiation of normal and late-stage cancerous mammary tissues in mice. The classification accuracy rates achieved by these models were 94.47% for RF, 96.76% for SVM, and 97.58% for CNN, respectively. To our …

Whole Genome Sequence Of The Denitrifying Thermophile Geobacillus Thermodenitrificans Subsp. Calidus Dsm 22629t, Mary Snook, Stephan Ritter, Rüdiger Pukall, Markus Göker, Rekha Seshadri, Nathaniel K. Jue

Biology, Agriculture and Chemistry Faculty Publications and Presentations

We present a full genome sequence for the thermophilic denitrifier Geobacillus thermodenitrificans subsp. calidus DSM 22629T (3,408,575 bp, 48.94% GC). This genome includes 3,615 predicted genes, including those needed to reduce nitrate to nitrogen gas. This organism and genome sequence provide valuable resources for future phylogenetic, genomic, and biotechnological research.

Composites Developed By The Reaction Of Elemental Sulfur With Biologically Derived Fats And Oils, Katelyn Tisdale

All Dissertations

Human civilization’s modern infrastructure relies mainly on cement and petrochemical products. However, the production of these building materials have harmful ecological effects such as green gas emissions, therefore intensifying the need to develop alternative, sustainable structural materials from renewably sourced or waste material precursors. The work presented herein investigates various biomass derived resources that serve as the olefin source for reaction with elemental sulfur, another abundant waste source, via inverse vulcanization to form high strength composites competitive with that of traditional building materials.

Chapter one reviews various techniques that have been developed and executed in an effort towards lignin valorization …

Evaluating The Duckweeds Lemna Minor And Spirodela Polyrhiza As Alternative Aquatic Hosts For The Spread Of The Bacterial Wilt Pathogen, Ralstonia Solanacearum, Irelynn Smith

Honors Theses

Ralstonia solanacearum is a plant pathogen that causes bacterial wilt disease in major crops such as tomatoes and potatoes. Recently, this bacterium was discovered in floating pennywort (Hydrocotyle ranunculoides) and Pennsylvania smartweed (Polygonum pennysylvanicum), two previously unsuspected aquatic plants. Duckweed is an aquatic plant with a high level of resilience and short doubling time. Common duckweed (Lemna minor) has previously demonstrated its capability as a versatile high-yield infection model for other types of pathogenic bacteria. Given this newfound branch of aquatic hosts and the fact that duckweed is a common pond weed previously identified in several ponds located nearby infected …

Anti-Inflammatory Potential Of Black Cumin Seed Oil And Its Nanoemulsion Formulation Against Lipopolysaccharide-Induced Liver Injury In Mice, Shady Swidan, Hesham Hafez, Rehab Hosni, Hatem Amin

Pharmacy

Original Article

Anti-inflammatory potential of black cumin seed oil and its nanoemulsion formulation against lipopolysaccharide-induced liver injury in mice

Haffez, Hesham^1,2,✉; Hosni, Rehab³; Swidan, Shady A.⁴; Amin, Hatem K.^1,5

Author Information

¹Biochemistry and Molecular Biology Department, Faculty of Pharmacy, Helwan University, Helwan, 11795, Cairo, Egypt

²Center of Scientific Excellence “Helwan Structural Biology Research”, Helwan University, Helwan, 11795, Cairo, Egypt

³El Sisi Comprehensive Clinic, General Authority for Health Insurance-Giza, Haram, 12556, Giza, Egypt

⁴Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, The British University in Egypt, El-Sherouk, 11837, Cairo, …