Digital Commons Network^™

Pairing And Rotation-Induced Nuclear Exotica In Covariant Density Functional Theory, Saja Teeti

Theses and Dissertations

Covariant density functional theory (CDFT) is one of the modern theoretical tools for describing the nuclear structure physics of finite nuclei. Its performance is defined by underlying covariant energy density functionals (CEDFs). In this dissertation and within the framework of the CDFT, different physical properties of the ground and the excited states of rotating and non-rotating nuclei have been investigated.

A systematic global investigation of pairing properties based on all available experimental data on pairing indicators has been performed for the first time in the framework of covariant density functional theory. It is based on separable pairing interaction of Ref.\ …

The Effect Of Four Decades Of Deregulation On Competition And Productivity Of The U.S. Freight Transportation Industry, Seungjae Shin

Theses and Dissertations

This study reviews the competition and productivity of the U.S. freight transportation industry for the past 41 years. This study investigated the trends of HHI market concentration index values and labor productivity values of rail and truck sectors and tried to find any relationships between the two values in the separate periods before and after the abolishment of the ICC. This study also investigated how the existence of a regulatory body impacted productivity of the freight transportation industry by using a Cobb Douglas production function on annual financial statement data in the U.S. stock exchange market. This study found that: …

Spatial Conservation Planning In The Southeastern United States: Alignments And Opportunities, Bradly Stewart Thornton

Theses and Dissertations

Conservation managers and planners need the ‘best available science’ to support robust and defensible decisions, ensuring that public resources are appropriately allocated. Spatial planning products and decision-support tools developed for this purpose should enable partner organizations to achieve focus, coordination, and increased effectiveness in their investments and actions. Whereas conservation partnerships have historically created distinct planning tools, there is increasing interest for improved coordination, communication, and unifying biological datasets to improve the cohesiveness of regional management activities. We sought to inform spatial conservation planning efforts in the southeastern United States through the development of species distribution models for focal avian …

Advancements In Geospatial Monitoring Of Structures, Jordan Keith Baldwin

Theses and Dissertations

The need for advancements in geospatial monitoring of structures has evolved naturally as structures have become larger, more complex, and technology has continued to rapidly develop. Greater building heights generally lead to greater challenges for surveyors, limiting the practical use of traditional measurement methods. For this reason, a new complimentary method was developed and implemented to support elevation monitoring activities during construction of the Salesforce Tower in San Francisco, California. While some studies have explored the use of strain gauges to monitor strain development within individual members, the primary contribution of this work is that it presents a practical and …

Compromised Health: Examining Growth And Health In A Late Antique Roman Infant And Child Cemetery, Sierra Malis

Theses and Dissertations

This research examines the relationship between growth, growth disruption, and skeletal indicators stress amongst juveniles (n=60) interred at the Late Antique infant and child cemetery at Poggio Gramignano (PG) (ca. 5th century CE), associated with a rural agricultural community. Growth disruption – evidenced by decreased long bone length compared to dental age – and stress experience – evidenced by skeletal stress indicators – were compared to those within juveniles from two urban Roman-era cemeteries (n=66), Villa Rustica (VR) (0-400 CE) and Tragurium City Necropolis (TCN) (400-700 CE). Results indicate that the PG juveniles had significantly smaller femoral lengths-for-age than VR …

​​Evaluating The Utility Of Trial-Based Functional Analyses Of Inappropriate Mealtime Behavior: A Comparison Of Identified Functions Across Functional Analysis Methods, Meredith Huff Staggers

Theses and Dissertations

A critical first step in addressing problem behavior is to identify the function of the problem, or reason for engaging in the problem behavior, using systematic assessment procedures known as a functional analysis (FA). The literature consistently demonstrates the effectiveness of FAs, and variations of FAs (e.g., trial-based functional analysis [TBFA]) for assessing a variety of topographies of problem behaviors across populations, age groups, and settings; however, the use of TBFAs for assessing the function of inappropriate mealtime behavior (IMB) has been documented in the literature only once. The purpose of the current study was to contribute to the research …

The Mississippi Timber Severance Tax: Its Economic Impacts To Forestry And The State Economy, Sakar Nepal

Theses and Dissertations

Millions of dollars are collected through Mississippi’s timber severance tax every year which then funds the Forest Resource Development Program (FRDP). This study analyzed their contributions to Mississippi’s economy and found that the total possible contribution was estimated to be $6.0 million in industrial output and 222 full-time and part-time jobs in 2019. However, only about 70 percent of the FRDP funds were expended in that year, and the actual contribution was short by $1.80 million in output and 80 full-time and part-time jobs. This study also examined the impact of the severance tax and FRDP on forest investment, using …

An Analysis Of Text-Based Machine Learning Models For Vulnerability Detection, Kollin Ryne Napier

Theses and Dissertations

With an increase in complexity of software, developers rely more on reuse and dependencies in their source code via code snippets. As a result, it is becoming harder to identify and mitigate vulnerabilities. Although traditional analysis tools are still utilized, machine learning models are being adopted to expand efforts and combat such threats. Given the possibilities towards usage of such models, research in this area has introduced various approaches which vary in usability and prediction. In generalizing models to a more natural language approach, researchers have opted to train models on source code to identify existing and potential vulnerabilities. Exploratory …

Predicting How Science Self-Efficacy And Identity Contributes To Postsecondary Stem Degree Selection, Bo Jason Hayes

Theses and Dissertations

One of the earliest indications that a student may be interested in STEM paths is the students’ own self-efficacy for science as well as how they may see themselves in a STEM career as part of their science self-identity (Schlegel et al., 2019). Currently, there is a need to contribute to research that can assist agencies such as the National Science Foundation (NSF), Department of Education and the National Academy of Sciences in advising the nation, including high schools and postsecondary institutions on ways to increase the enrollment of students in STEM-related careers. This study examined the extent to which …

Eddy Current Defect Response Analysis Using Sum Of Gaussian Methods, James William Earnest

Theses and Dissertations

This dissertation is a study of methods to automatedly detect and produce approximations of eddy current differential coil defect signatures in terms of a summed collection of Gaussian functions (SoG). Datasets consisting of varying material, defect size, inspection frequency, and coil diameter were investigated. Dimensionally reduced representations of the defect responses were obtained utilizing common existing reduction methods and novel enhancements to them utilizing SoG Representations. Efficacy of the SoG enhanced representations were studied utilizing common Machine Learning (ML) interpretable classifier designs with the SoG representations indicating significant improvement of common analysis metrics.

Physics-Based Modeling Of Post-Wildfire Landslides In Unsaturated Hillslopes, Masood Abdollahi

Theses and Dissertations

Changes in climatic regimes and land use have led to increases in wildfire activities around the world. Wildfires are now happening more frequently, at higher altitudes, and higher severities. Adverse impacts of wildfires can last years after the fire has been contained through post-fire geohazards, such as shallow landslides. Post-wildfire shallow landslides are often mobilized by rainfall and due to fire-induced changes in soil and land cover properties and near-surface processes. This study aims to develop a physics-based framework to evaluate the stability of burned hillslopes against rainfall-triggered shallow landslides. A coupled hydromechanical infiltration model is developed by employing a …

Host-Acquired Virus Genes Support An Ancient Antiviral Role Of The Pirna Pathway In Dipterans, Rebecca Christian

Theses and Dissertations

Endogenous viral elements (EVEs) have been recently investigated as a source of transgenerational immune memory. These “viral fossils” are abundant in Aedes mosquitoes and partner with the host’s primary antiviral defense system, the RNA interference (RNAi) pathways. This partnership appears unique to mosquitoes, which encode an expansion of the Piwi endoribonucleases. To interrogate EVE-Piwi partnerships and their role in antiviral defense, I performed a comparative small RNA analysis of two naturally occurring EVE-virus pairs – one in the mosquito Aedes albopictus, and one in the midge Chaoborus americanus. Both express an EVE related to the nucleoprotein of their …

Oxidation Resistance Of An Atomically Flat Cu(111) Surface: A First-Principles Study, Bipin Lamichhane

Theses and Dissertations

The first-principles calculation based on density functional theory (DFT) was used to study the oxidation resistance of atomically flat and atomic-step edges of Cu(111), diffusion of Cu atoms in different surfaces of alumina and interface properties of alumina and Cu(111), and magnetic properties of Mn-substituted strontium hexaferrite. The dissociation of oxygen molecules is the primary reason for the corrosion of metals, which deteriorates their application. Cu(111) flat surface, mono-atomic, and multi-atomic step edges were used to study oxygen diffusion. Penetration of oxygen on a Cu(111) flat surface requires high energy, indicating oxidation resistance. Our DFT result of oxygen diffusion into …

Developing Systems Engineering And Machine Learning Frameworks For The Improvement Of Aviation Maintenance, Fatine Elakramine

Theses and Dissertations

This dissertation develops systems engineering and machine learning models for aviation maintenance support. With the constant increase in demand for air travel, aviation organizations compete to maintain airworthy aircraft to ensure the safety of passengers. Given the importance of aircraft safety, the aviation sector constantly needs technologies to enhance the maintenance experience, ensure system safety, and limit aircraft downtime. Based on the current literature, the aviation maintenance sector still relies on outdated technologies to maintain aircraft maintenance documentation, including paper-based technical orders. Aviation maintenance documentation contains a mixture of structured and unstructured technical text, mainly inputted by operators, making them …

Relaxing Dc Capacitor Voltage Of Power Electronic Converters To Enhance Their Stability Margins, Ali Zakerian

Theses and Dissertations

Recently, due to the increasing adoption of distributed energy resource (DER) technologies including battery energy storage (BES) and electric vehicle (EV) systems, bidirectional power converters are becoming more popular. These converters are broadly utilized as interface devices and provide a bidirectional power flow in applications where the primary power supply can both supply and receive energy. A dc capacitor, called the dc-link, is an important component of such bidirectional converters. For a wide range of applications, the converter is required to control the dc-link voltage. Commonly, a proportional-integrating (PI) controller is used by the dc capacitor voltage controller to generate …

Effects Of A Virtual Voice-Based Coach Delivering Problem-Solving Treatment On Emotional Distress And Brain Function: A Pilot Rct In Depression And Anxiety, Thomas Kannampallil, Et Al.

2020-Current year OA Pubs

Consumer-based voice assistants have the ability to deliver evidence-based treatment, but their therapeutic potential is largely unknown. In a pilot trial of a virtual voice-based coach, Lumen, delivering problem-solving treatment, adults with mild-to-moderate depression and/or anxiety were randomized to the Lumen intervention (n = 42) or waitlist control (n = 21). The main outcomes included changes in neural measures of emotional reactivity and cognitive control, and Hospital Anxiety and Depression Scale [HADS] symptom scores over 16 weeks. Participants were 37.8 years (SD = 12.4), 68% women, 25% Black, 24% Latino, and 11% Asian. Activation of the right dlPFC (neural region …

Functionalization Of Graphene Oxide For Label-Free Electrochemical Detection Of Hepatic Cancer Cells, Samar Damiati, Shakil A. Awan, Martin Peacock, Bernhard Schuster

School of Engineering, Computing and Mathematics

: In this study, a graphene oxide-modified screen-printed carbon electrode was functionalized with the 1-pyrenebutyric acid-N-hydroxy-succinimide ester and conjugated with antibodies for the label-free detection of human hepatoma HepG2 cells. Using a user-friendly reservoir chamber, the functionalized film was exposed continuously to the cancer cells. The use of a continuous flow was intended to enhance the capture of the target cells by the sensing platform. The response of the biosensor was evaluated using cyclic voltammetry. The preliminary data showed good sensitivity for the detection of hepatic cancer cells. The developed biosensor could detect the HepG2 cells from a 1 × …

Assessing The Reliability Of A New One-Line Model For Predicting Shoreline Evolution With Impoundment Field Experiment Data, Antonio Francone, David J. Simmonds

School of Engineering, Computing and Mathematics

The advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal hazards. Managing and protecting coastal areas requires accurate measurements and the availability of reliable numerical models for predicting shoreline evolution. The present study focuses on verifying the reliability of a recent one-line model: the General Shoreline beach (GSb) model. The numerical simulations were performed using wave data observed by the Acoustic Wave and Current profiler and …

Diagnostic Accuracy Of Serological And Imaging Tests Used In Surveillance For Hepatocellular Carcinoma In Adults With Cirrhosis: A Systematic Review Protocol, L Sadler, H Jones, P Whiting, M Rogers, K Watt, M Cramp, S Ryder, K Stein, N Welton, F Oppe, J Bell, G Rogers

Peninsula Medical School

Background Liver cirrhosis is the largest risk factor for developing hepatocellular carcinoma (HCC), and surveillance is therefore recommended among this population. Current guidance recommends surveillance with ultrasound, with or without alpha-fetoprotein (AFP). This review aims to synthesise the evidence on the diagnostic accuracy of imaging or biomarker tests, alone or in combination, to identify HCC in adults with liver cirrhosis in a surveillance programme. Methods We will identify studies through a 2021 Cochrane review with similar eligibility criteria, and a database search of MEDLINE, Embase and the Cochrane Database of Systematic Reviews. We will include diagnostic test accuracy studies with …

First-Order Phase Transitions In Yang-Mills Theories And The Density Of State Method, B Lucini, D Mason, M Piai, E Rinaldi, D Vadacchino

School of Engineering, Computing and Mathematics

No abstract provided.

Integrated Neutrosophic Best-Worst Method For Comprehensive Analysis And Ranking Of Flood Risks: A Case Study Approach From Aswan, Egypt, Safa Al-Saeed, Nabil M. Abdelaziz

Neutrosophic Systems with Applications

This paper presents a comprehensive framework for the analysis and ranking of flood risks with respect to regional variations and data uncertainties under a Neutrosophic environment. The research introduces a novel approach to flood risk mitigation and management, bringing together the scientifically robust Best-Worst Method (BWM) and single-valued Neutrosophic set for the first time. The unique application of a single-valued Neutrosophic set allows us to better illustrate and manage uncertainty, imprecision, and vagueness in data. Additionally, we employ BWM, a multi-factor decision-making method, for discerning and ranking the most influential flood risk factors. Together, the integrated methodologies provide a balanced, …

Trem2 Inhibition Triggers Antitumor Cell Activity Of Myeloid Cells In Glioblastoma, Rui Sun, Rowland Han, Colin Mccornack, Saad Khan, G Travis Tabor, Yun Chen, Jinchao Hou, Haowu Jiang, Kathleen M Schoch, Diane D Mao, Ryan Cleary, Alicia Yang, Qin Liu, Jingqin Luo, Allegra Petti, Timothy M Miller, Jason D Ulrich, David M Holtzman, Albert H Kim

2020-Current year OA Pubs

Triggering receptor expressed on myeloid cells 2 (TREM2) plays important roles in brain microglial function in neurodegenerative diseases, but the role of TREM2 in the GBM TME has not been examined. Here, we found that TREM2 is highly expressed in myeloid subsets, including macrophages and microglia in human and mouse GBM tumors and that high TREM2 expression correlates with poor prognosis in patients with GBM. TREM2 loss of function in human macrophages and mouse myeloid cells increased interferon-γ-induced immunoactivation, proinflammatory polarization, and tumoricidal capacity. In orthotopic mouse GBM models, mice with chronic and acute Trem2 loss of function exhibited decreased …

A Phase 1b Randomized Clinical Trial Of Ct1812 To Measure Aβ Oligomer Displacement In Alzheimer's Disease Using An Indwelling Csf Catheter, Kelsie M Labarbera, Carla M Yuede, Hannah M Edwards, Woodrow D Gardiner, John R Cirrito, Et Al.

2020-Current year OA Pubs

No abstract provided.

5763 Wadsworth Llc V. Roque

All Decisions

"In the decision, the court granted Respondent’s cross motion to vacate a pro se Stipulation entered before the tenant retained counsel based on a potential meritorious overcharge. Follow the precedent of Butterworth v 281 St. Nicholas Partners. LLC. 60 A.D.3d 434 (App. Div. 1st Dep't), the court found that an increase in the rent at the same time the landlords ""ceased filing the annual registration"" can sustain a finding of fraud. Specifically, Judge Arrindell finds that indicia of fraud could potentially include an unexplained jump in the rent plus landlord's failure to register the apartment (here, for two years). The …

Generative And Pseudo-Relevant Feedback For Sparse, Dense And Learned Sparse Retrieval, Iain Mackie, Shubham Chatterjee, Jeffrey Dalton

Computer Science Faculty Research & Creative Works

Pseudo-relevance feedback (PRF) is a classical approach to address lexical mismatch by enriching the query using first-pass retrieval. Moreover, recent work on generative-relevance feedback (GRF) shows that query expansion models using text generated from large language models can improve sparse retrieval without depending on first-pass retrieval effectiveness. This work extends GRF to dense and learned sparse retrieval paradigms with experiments over six standard document ranking benchmarks. We find that GRF improves over comparable PRF techniques by around 10% on both precision and recall-oriented measures. Nonetheless, query analysis shows that GRF and PRF have contrasting benefits, with GRF providing external context …

Nicole Yvette Cone

African American Funeral Programs

Nicole_Yvette_Cone.pdf - Funeral program for Nicole Yvette Cone

The Exploratory Sequential Design With Generalized Linear Models For The Learning Strategy Analysis, Zhidong Zhang, Liza Ramos

Teaching and Learning Faculty Publications

The researchers explored a mixed methods research design through the analysis of a set of interview data. Saldana’s model was utilized to complete the opening coding data and thematic coding data. Three themes were recognized to support the cooperative learning models. These included: a) Knowing by Undergone Events and Contexts, b) Implementation and Action, and c) Opinions and Perceptions, which consisted of a Cooperative Learning Model (CLM). The frequencies of the terms and phrases consisted of the evidence variables. A generalized linear model (GeLM) was utilized to examine the relationship between the three themes and Cooperative Learning Model. The GeLM …

Efficient Cancer Modeling Through Crispr-Cas9/Hdr-Based Somatic Precision Gene Editing In Mice, Wen Bu, Chad J Creighton, Kelsey S Heavener, Carolina Gutierrez, Yongchao Dou, Amy T Ku, Yiqun Zhang, Weiyu Jiang, Jazmin Urrutia, Wen Jiang, Fei Yue, Luyu Jia, Ahmed Atef Ibrahim, Bing Zhang, Shixia Huang, Yi Li

Faculty, Staff and Student Publications

CRISPR-Cas9 has been used successfully to introduce indels in somatic cells of rodents; however, precise editing of single nucleotides has been hampered by limitations of flexibility and efficiency. Here, we report technological modifications to the CRISPR-Cas9 vector system that now allows homology-directed repair-mediated precise editing of any proto-oncogene in murine somatic tissues to generate tumor models with high flexibility and efficiency. Somatic editing of either

Query Augmentation Using Search Engine Results To Improve Answers Generated By Large Language Models, Hyun Jin Park, Changwan Ryu

Defensive Publications Series

Large Language Model (LLM) and Generative Pre-trained Transformer (GPT) technology has the ability to generate responses to questions provided in text format. While such technology produces text content with plausible answers to a given question, it is difficult to judge the trustworthiness of the generated answers. It has been shown that answers generated by such technology may not always be factually accurate. This disclosure describes automated techniques to improve the credibility and confidence of machine-generated answers by using results from a search engine. Per the techniques, search results corresponding to a user input query are used to generate an augmented …

Location Selection For Flagship Retail Store, Bruce Bahnsen, Yan Mayster

Defensive Publications Series

Brands benefit from greater exposure to potential consumers. One way to improve exposure is to open a flagship retail store that provides a dedicated brand experience in a new geographic area so that consumers in the region are exposed to the goods and services in person. This disclosure describes techniques to evaluate available locations to determine an appropriate location for a flagship store where the number of potential new consumers that are exposed to the brand is high. Different road segments, including indoor segments are scored based on data indicative of the number of unique and new persons that pass …