Digital Commons Network^™

Molten Flux Synthesis Of Plutonium (Iv) Silicates K2Pusi2O7 And Rb2Pusi6O15, Travis K. Deason, Gregory Morrison, Amir Mofrad, Jake Amoroso, David Diprete, Theodore M. Besmann, Shanna L. Estes, Hans Conrad Zur Loye

Faculty Publications

Few plutonium containing silicates have been reported in the literature and only one other tetravalent plutonium silicate structure has been reported using the flux growth method. With the goal of understanding actinide incorporation into silicates, we describe herein two new plutonium (IV) silicates, Rb2PuSi6O15 and K2PuSi2O7, synthesized using a mixed alkali chloride/alkali fluoride flux growth. Both structures crystallize in the C2/c space group with lattice parameters a=24.2980(10) Å, b=7.1466(3) Å, c=17.2025(8) Å and 96.6560(10)° for Rb2PuSi6O15, and a=9.9478(2) Å, b=5.59820 (10) Å, c=13.1848(2) Å, and 105.7400(10)° for K2PuSi2O7. Comparisons to the synthesis of other reported alkali actinide silicates (Ce, U, …

Effects On Maternal And Pregnancy Outcomes Of First-Trimester Malaria Infection Among Nulliparous Women From Kenya, Zambia, And The Democratic Republic Of The Congo, Sequoia I. Leuba, Daniel Westreich, Carl L. Bose, Andrew F. Olshan, Steve M. Taylor, Antoinette Tshefu, Adrien Lokangaka, Waldemar A. Carlo, Elwyn Chomba, Musaku Mwenechanya, Edward A. Liechty, Sherri L. Bucher, Osayame A. Ekhaguere, Fabian Esamai, Paul Nyongesa, Saleem Jessani, Sarah Saleem, Robert L. Goldenberg, Janet L. Moore, Tracy L. Nolen, Jennifer Hemingway-Foday, Elizabeth M. Mcclure, Marion Koso-Thomas, Richard Derman, Matthew Hoffman, Steven R. Meshnick, Melissa Bauserman

Department of Medicine Faculty Papers

BACKGROUND: Few studies have assessed the impact of first-trimester malaria infection during pregnancy. We estimated this impact on adverse maternal and pregnancy outcomes.

METHODS: In a convenience sample of women from the ASPIRIN (Aspirin Supplementation for Pregnancy Indicated risk Reduction In Nulliparas) trial in Kenya, Zambia, and the Democratic Republic of the Congo, we tested for first-trimester Plasmodium falciparum infection using quantitative polymerase chain reaction. We estimated site-specific effects on pregnancy outcomes using parametric g-computation.

RESULTS: Compared to uninfected women, we observed the adjusted site-specific prevalence differences (PDs) among women with first-trimester malaria of the following pregnancy outcomes: preterm birth …

Development Of Computational Imaging Pipelines To Advance Quantitative Co-Clinical Imaging And Pathology, Kaushik Dutta

McKelvey School of Engineering Graduate Student Theses & Dissertations

Deep learning driven computational methods have profoundly impacted medical imaging by advancing feature extraction, and by establishing a critical foundation for downstream image analysis and interpretation. Co-clinical trials are an emerging area of investigation in which a clinical trial is coupled with a corresponding preclinical study to inform the corresponding clinical trial to enhance translational accuracy and therapeutic development. Within this framework, quantitative imaging and pathology plays a fundamental role in both clinical and preclinical arms of co-clinical trials. Quantitative imaging enables enabling identification and validation of imaging biomarkers which are leveraged to predict therapeutic response, characterize disease phenotypes, and …

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

How Do Expert Forensic Evaluators Do It? A Qualitative Study Exploring Forensic Evaluators’ Lived Experiences Conducting Psychosexual Evaluations Of Sex Offenders With Suspected Autism, Jessica K. Gazzola

Electronic Theses and Dissertations

This qualitative inquiry utilized semi-structured interviews with eight expert forensic evaluators to explore their lived experiences engaging in psychosexual evaluations of sex offenders with a suspected diagnosis of autism. The purpose of this study was to identify current best practices, principles, and challenges faced by forensic evaluators when assessing sex offenders with a suspected diagnosis of autism. The results provide a variety of autism-specific screening tools and assessments used by forensic evaluators in their psychosexual evaluation process. Four emergent themes were developed using a descriptive phenomenological approach and social constructivist framework. These themes encompass forensic evaluators’ role in conducting psychosexual …

Intrinsic Gas-Phase Behavior Of Uranium Species: A Comprehensive Reactivity Study Of [O=U≡Ch]+ And [Uh]+, Justin Terhorst

Electronic Theses and Dissertations

The intrinsic chemistry of actinide elements, particularly uranium, remains a key challenge in understanding f-block reactivity due to the complexity introduced by solvent interactions, counter-ions, and complex equilibria in the condensed phase. In this dissertation, a systematic gas-phase study utilizing preparative tandem ion-trap mass spectrometry (PTMSⁿ) is presented, focusing on the reactivity of uranium-centered species, specifically [OUCH]⁺, an oxy uranium methylidyne species, and [UH]⁺ ions. By stripping away solvent effects and isolating the ions, PTMSⁿ provides a powerful platform to probe the fundamental chemical behavior of uranium species in their intrinsic state.

The …

It's Funny When You Think About It: Formal Complexity And Emotional Engagement In Twentieth Century American Humor, Noel Stanger

Electronic Theses and Dissertations

It is generally accepted by scholars of humor that humor requires an observer to take on a perspective of “critical distance” – or a perspective through which the observer can be critical of the target of humor. Consequently, work in the field is dominated by an assumption – whether implicit or explicit - that humor (and, especially, twentieth century American humor) necessitates that the observer disengages emotionally from the target of humor. In this project, I challenge this assumption and argue that humor has the potential to be extremely emotionally engaging. Focusing on written humor and building on both classic …

Advancing Continuous Manufacturing: The Role Of Process Analytical Technology In Process Development, Samuel R. Henson

Electronic Theses and Dissertations

The pharmaceutical industry is actively pursuing technologies which improve manufacturing processes with the goal of producing high-quality pharmaceutical products for patients, manifesting in an industry-wide investment in continuous manufacturing (CM). Process analytical technology (PAT) has been recognized for its successful monitoring of critical quality attributes during routine production and is often cited alongside CM due to its ability to make timely, in-line measurements of intermediate materials. Various PAT tools are valuable in process development, particularly as continuous wet granulation processes are developed for use within pharmaceutical manufacturing. This work applied PAT and chemometric modeling during CM process development to enhance …

Hidden Markov Model For Identifying Local Variants In Human Genomes Using Simulated Data, Scott Mccallum

Electronic Theses and Dissertations

Identifying adaptive mutations in genetic data is challenging due to the low frequency of occurrence of such events, and because signatures of selection are intertwined with the footprints of various other evolutionary forces that shape our genomes. Even when a larger region appears to be under selection, genomic sites that are linked to adaptive mutations have similar statistical signals, and thus can obfuscate the identification of the actual adaptive mutation. The new method described here uses a Hidden Markov Model that allows for classification of neutral, linked, and sweep (adaptive mutation) genomic sites. This model is general and can be …

Development Of Methods For Predicting Second Harmonic Generation (Shg) Responses Of New Infrared Nonlinear Optical (Ir-Nlo) Materials, Katherine Colbaugh

Electronic Theses and Dissertations

Dissertation supervised by Dr. Jennifer A. Aitken.

In this work, calculations-based methods were evaluated for use in prediction of second harmonic generation (SHG), specifically χ⁽²⁾ values, of infrared nonlinear optical (IR-NLO) materials. Net dipole moment and dipole moment per volume were calculated by the bond valence sum method. Average F-index, proposed in this research, and group F-index, both representing induced dipole moment were also calculated. Each calculation was evaluated by comparing the results to single crystal and powder χ⁽²⁾ measurements of IR-NLO materials. The selected dataset consisted of ninety-six compounds including polar and nonpolar structures, newly discovered and …

Rna Structural-Dynamical Hierarchy: Sars-Cov, Sars-Cov-2, And Delta/Omicron Variant S2m Monomers, Kissing Complexes, And Extended Duplexes, Adam Kensinger

Electronic Theses and Dissertations

The power and promise of ribonucleic acid (RNA) molecules are only beginning to be realized in living organisms and pharmaceutical intervention. Specifically, defining the chemical physics of RNA’s heterogenous structural ensemble and dynamics, which has experienced expansive growth over the last few years, is central to a complete understanding, yet continues to be a significant challenge. A 41-nucleotide hairpin called the stem-loop II motif (s2m), present in the viral genomes of severe acute respiratory syndrome (SARS), SARS-coronavirus-2 (SARS-CoV-2), and the Delta and Omicron variants responsible for the COVID-19 pandemic, is a potential antiviral target due to its high sequence conservation …

Saudi And American Students’ Motivation And Anxiety In Online Collaborative Learning In The United States, Nawal Alqarni

Electronic Theses and Dissertations

This research study aims to explore motivation and anxiety Saudi and American students in online collaborative learning environments through online courses in U.S. universities and how they relate to their academic performance.

The study utilized a quantitative approach for data collection through an online survey of 99 Saudi students and 39 American students who were enrolled in U.S. universities. The results showed that there was no significant difference in motivation scores between undergraduate Saudi students and their American counterparts. Nor was a significant difference observed in motivation scores between graduate Saudi students and graduate American students. The data also indicated …

Efficient Development Of Density-Insensitive Near-Infrared Methods For In-Line Drug Content Monitoring In Continuous Powder Streams, Natasha L. Velez-Silva

Electronic Theses and Dissertations

A well-defined action plan to respond effectively to sudden changes in product demand is critical for preventing drug shortages within the pharmaceutical industry. An effective way to increase the output of a continuous manufacturing (CM) process is through flow rate adjustments. However, robust analytical methods must be in place to ensure consistent analytical performance across varying flow rates. Existing approaches for mitigating the physical effects of flow rate on Near-Infrared (NIR) measurements are often burdensome. Thus, efficient robust modeling strategies that reduce the current calibration burden and ensure model insensitivity to the physical variations in CM systems are needed. In …

Examining The Dynamic Nature Of Acceptability In A Performance Feedback Writing Intervention, Tyler J. Young

Theses - ALL

Acceptability, or the perception that an intervention is appropriate, fair, and reasonable, is a critical construct to assess when implementing interventions (Kazdin, 1981). Despite original conceptualizations of acceptability as dynamic, or changing throughout intervention implementation (Foster & Mash, 1999; Schwartz & Baer, 1991), repeated acceptability assessments have been conducted up to only 9.26% of the time in intervention research (Silva et al., 2019). Studies that have previously conducted repeated assessments did not descriptively report or analyze differences in acceptability across sessions (e.g., DuBois et al., 2016; Raggi et al., 2009). No study to date has conducted dynamic assessments of acceptability …

Assembly Of Ppsu-Oligomers, Mariam Nesterov

Student Theses and Dissertations

The development of nanostructures for delivering multiple proteins to targeted antibodies has become a promising avenue in biotechnology, driven by advancements in synthetic polymers like poly(propylene sulfone), PPSU. However, the PPSU polymer faces a major limitation - its high insolubility. To address this challenge, this study investigates whether PPSU oligomers can enhance both the solubility and stability of lysozyme, a model protein that is cost-effective and widely accessible. Using dimer, trimer, tetramer, and hexamer configurations, we analyzed the interactions between PPSU oligomer and lysozyme under varying conditions. Our results show that the dimer and trimer are water soluble (no aggregate …

How Does Health Professions Student Engagement Differ Across Campuses In A Synchronous Multi-Campus Learning Environment?, Satera Nelson

Theses & Dissertations

Student engagement is positively associated with academic achievement, student satisfaction, and retention. In synchronous multi-campus learning, students learn simultaneously while physically located at several campuses throughout the state. This educational model is one way to address the rural health care shortage, as many students who study at rural campuses tend to stay in rural areas to practice. Student engagement is crucial to ensuring that students at rural campuses have a comparable learning experience and to help those students feel like they are a valued part of the class. The purpose of this study was to evaluate health professions student and …

Ccr5-Ligand Decorated Rilpivirine Lipid-Based Nanoparticles For Sustained Antiretroviral Responses, Milankumar Patel

Theses & Dissertations

Antiretroviral therapy (ART) is the standard remedy to improve the health-related quality of life of people living with human immunodeficiency virus (HIV). However, limited access to the viral reservoir has significantly hindered its effectiveness in fully eradicating HIV. Therefore, to improve HIV therapy, here we propose a C-C chemokine receptor type 5 (CCR5)-targeted theranostic lipid Based Nanoparticles (LBNPs) to noninvasively track and specifically deliver the antiretroviral drugs (ARVs) to the viral reservoir. A multi-modular radioactive nanoprobe was synthesized and co-encapsulated with rilpivirine (RPV, an ARV) into the LBNP to achieve a theranostic LBNP that can be tracked by positron emission …

Influence Of Antibody–Drug Conjugate Cleavability, Drug-To-Antibody Ratio, And Free Payload Concentration On Systemic Toxicities: A Systematic Review And Meta-Analysis, Shou Ching Tang, Carrie Wynn, Tran Le, Martin Mccandless, Yunxi Zhang, Ritesh Patel, Nita Maihle, William Hillegass

School of Medicine Faculty Publications

While in theory antibody drug conjugates (ADCs) deliver high-dose chemotherapy directly to target cells, numerous side effects are observed in clinical practice. We sought to determine the effect of linker design (cleavable versus non-cleavable), drug-to-antibody ratio (DAR), and free payload concentration on systemic toxicity. Two systematic reviews were performed via PubMed search of clinical trials published between January 1998—July 2022. Eligible studies: (1) clinical trial for cancer therapy in adults, (2) ≥ 1 study arm included a single-agent ADC, (3) ADC used was commercially available/FDA-approved. Data was extracted and pooled using generalized linear mixed effects logistic models. 40 clinical trials …

Synthetic Studies On Ship Activators And New Oxidative Methods Utilizing Ddq And Hypervalent Iodine Catalysts, Christos Nixarlidis

Dissertations - ALL

One important cell signaling pathway is the PI3K pathway because it influences many key cellular functions such as proliferation and apoptosis. Among the enzymes that are involved in this pathway, the SH2-containing inositol-5’-phosphatase (SHIP) plays an important role by maintaining the balance of PI(3,4,5)P3 and PI(3,4)P2. SHIP activation promotes a higher rate of hydrolysis of PI(3,4,5)P3 and thus reduces the downstream activation of AKT, which influences many cell processes. Activation of SHIP using small molecules may be useful for certain diseases such as inflammatory disorders and some types of cancer. The synthesis and evaluation of a new class of sulfonamide …

Noise-Enhanced Network Science, Reyhaneh Abdolazimi

Dissertations - ALL

Graphs are a versatile and powerful data structure used to model complex relationships in diverse domains such as social networks, biological systems, and transportation networks. In graphs, entities are represented by nodes, and interactions or relationships between them are represented by edges. For example, in the World Wide Web, web pages are considered vertices, and if there is a link from one page to another page on the web, there will be a directed edge between those pages in its graph data structure. These structures allow us to analyze and solve important problems like community detection (identifying closely related clusters …

Modulating Liquid-Liquid Phase Separation Of Intrinsically Disordered Proteins Through Lipidation, Zhe Zhang

Dissertations - ALL

Liquid-liquid phase separation (LLPS) is a fascinating biological phenomenon that enables cells to form membraneless organelles, creating specialized compartments for orchestrating complex biochemical reactions. While significant progress has been made in deciphering the sequence determinants underlying phase separation, precisely modulating these features remains a challenge. Inspired by biology, post-translational modifications (PTMs) offer a promising approach to modulate the protein condensates formation and their properties in real-time, without altering the sequences. Despite the identification of over 300 types of PTMs, most research has predominantly focused on charge-altering modifications. The effects of non-charged PTMs, such as lipidation, on LLPS remain poorly understood. …

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – November 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Role Of Emotional Intelligence In Leadership, Sabrena Craft

M.S. in Leadership

No abstract provided.

National Math, Science Teacher Group Appoints Um Professor To Board, Marvis Herring

University of Mississippi News

OXFORD, Miss. – University of Mississippi professor Joel Amidon will help oversee a national network of teachers focused on improving STEM education for students across the U.S.

Mean From Median Estimation In Longitudinal Meta-Analysis Of Quality Of Life In Radiation Oncology Patients, Harlan R. Sayles

Theses & Dissertations

Meta-analysis of longitudinal data, where some of the studies report results with means and standard errors while others use medians and ranges, is a complex analytical problem with several challenges which must be overcome. Existing methods for estimating means from medians and either ranges, interquartile ranges, or both have not previously been evaluated in a longitudinal setting. In this work, a simulation study was used to estimate mean bias, between studies variance bias, and coverage of confidence intervals in a longitudinal setting. A second simulation study estimated the variance of meta-analysis results from a given set of studies that may …

A Comprehensive Usability And Economic Analysis Of Heat-Related Wearable Technologies: Applications To Occupational Health, Ryan T. Cannady

Theses & Dissertations

The purpose of this research was to analyze the usability and economic considerations of real-time wearable technologies that are implemented in occupational settings to assess risk of heat stress and heat strain. The study population included current agriculture workers and Department of Energy (DOE), Environmental Management (EM) contractors. We employed a mixed-methods approach to comprehensively analyze the usability and economic considerations of heat-related technologies. Specifically, our approach assessed three distinct aspects the applications of these technologies in occupational settings to comprehensively address our research objective: (1) worker perceptions of heat-related wearable technologies, (2) field-based assessment of these heat-related wearable technologies, …

Evaluating The Effectiveness Of Benguet Pine (Pinus Kesiya) Xylem For Deep Well Water Filtration, Allen Conner C. Hizon, Robert Zachary M. Santos, Juan Jose B. Lacson, Jefferson Danilo G. Villarin, Juan Carlo T. Gumangan

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Even today, many rural and remote communities still do not have access to safe drinking water, which is a basic right of every human. To address this problem, the effectiveness of the Benguet pine tree (Pinus kesiya) xylem as a sustainable water filtration method for well water was investigated. The physical and chemical properties of the filtered and unfiltered deep well water were tested: the total dissolved solids (TDS) and the electrical conductivity using a 5-in-1 electronic water quality tester and the pH level using pH strips. On the other hand, the microbiological metrics, such as heterotrophic plate …

Winter Commencement: December 20, 2024, University Of North Dakota

UND Commencement Programs

UND Winter Commencement program from December 20, 2024.

A Clustering-Based Location Allocation Method For Delivery Sites Under Epidemic Situations, Yaqiong Zhou, Junqi Chen, Weishi Li, Sihang Qiu, Rusheng Ju

Journal of System Simulation

Abstract: To address the poor performance of commonly used intelligent optimization algorithms in solving location problems—specifically regarding effectiveness, efficiency, and stability—this study proposes a novel location allocation method for the delivery sites to deliver daily necessities during epidemic quarantines. After establishing the optimization objectives and constraints, we developed a relevant mathematical model based on the collected data and utilized traditional intelligent optimization algorithms to obtain Pareto optimal solutions. Building on the characteristics of these Pareto front solutions, we introduced an improved clustering algorithm and conducted simulation experiments using data from Changchun City. The results demonstrate that the proposed algorithm outperforms …

Research On Verification Method Of Motor Startups In Nuclear Power Plants Based On Topology Recognition, Baozhu Li, Weijie Dong, Chao Chen

Journal of System Simulation

Abstract: There are many motors in operation or on standby in nuclear power plants, and the startup of group motors will have a great impact on the voltage of the emergency bus. At present, there is no special or inexpensive software to solve this problem, and the experience of engineers is not accurate enough. Therefore, this paper developed a method and system for the startup calculation of group motors in nuclear power plants and proposed an automatic generation method of circuit topology in nuclear power plants. Each component in the topology was given its unique number, and the component class …