Digital Commons Network^™

Neutrosophic Aesthetic Attainment Index With Αm-Continuity And Ngsr-Closed Classification For Robust Assessment In Dance Aesthetic Education Classes, Xiaoli Liu

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Truncated Normal Distribution For Renewable Energy Forecasting And Optimization, Afrah Al Bossly, Zahid Khan

Neutrosophic Sets and Systems

No abstract provided.

Modeling Entangled Indeterminacy Flows: A Neutrosophic Multi Module Simulation Framework For Cross-Border E-Commerce Digital Marketing Effectiveness, Ying Zhu, Lingling Li

Neutrosophic Sets and Systems

No abstract provided.

Existence And Uniqueness Of Best Proximity Point In Non-Archimedean Neutrosophic Complete Metric Space, A. Sreelakshmi Unni, V. Pragadeeswarar

Neutrosophic Sets and Systems

No abstract provided.

Q-Neutrosophic Soft Relation For Training Effects Of Rock Climbing: A Pathway To Physical Fitness And Psychological Growth In Adolescents, Yuzhen Zhan

Neutrosophic Sets and Systems

No abstract provided.

Pythagorean Language Neutrosophic Number For Teaching Quality Analysis Of Dance Education And Performing Arts Programs Based On Multimedia Technology, Shifei He, Lizhu Fang

Neutrosophic Sets and Systems

No abstract provided.

Probabilistic Single-Valued Neutrosophic Set For A Multidimensional Evaluation Of College Students’ Mental Health And Academic Success, Xue Wang, Lu Yang

Neutrosophic Sets and Systems

No abstract provided.

Echo’S Repertoire: Performing Science Fiction And Trans Care Models, Juniper Blue

Theses

Echo’s Repertoire is a mixture of a passion piece and a call for more work with performing science fiction. It focuses on interpersonal communication within trans studies and the experiences of transgender individuals and myself. Echo’s Repertoire is also an example of the Lyrical Model proposed by Awkward-Rich as a new model for trans affirming speech. The show is laid out non-linearly and follows along with Echo as he starts to build new relationships with the advice of his spaceship ai, Eep, who is a previous version of himself prior to transformation (transition).

Surface Water And Groundwater Interactions Within The Riparian Wetlands Of The Mississippi River Dogtooth Bend Southern Illinois, Adeola Jacob Fagorola

Theses

Riparian wetlands serve as transition areas connecting terrestrial and aquatic ecosystems, providing vital functions in maintaining water quality and habitat for diverse array of organisms. A comprehensive understanding of the interaction between surface water (SW) and groundwater (GW) in riparian wetlands is crucial for the management of these ecologically significant habitats. However, the interactions between SW and GW are often only partially constrained particularly with respect to their effects on water chemistry and nutrient cycling.In this study I utilized geochemical and hydrological approaches to examine the dynamics of surface water and groundwater interactions within the riparian wetlands of the Dogtooth …

Evaluating Streambank And In-Stream Erosion As Acontributors To Water Quality In Two Illinois Agricultural Watersheds, Chibueze Chigozie Iguegbe

Theses

This study investigates its contribution to sediment and phosphorus (P) export in two agriculturally dominated watersheds in south central Illinois—Lost Creek and East Fork Shoal Creek (EFS). Using cross-section surveys, and erosion pin measurements over a two-year monitoring period, we quantified bank erosion rates, sediment yields, and associated phosphorus loads. Hydrologic data from the Illinois State Water Survey (ISWS), alongside local precipitation and soil data, were utilized in the interpretation of erosion dynamics in the study watersheds. Key findings from this study show spatial and temporal variability in erosion rates, which is driven by seasonal flow events, riparian vegetation type, …

Comprehensive Drought Analysis: Machine Learning-Based Meterological Drought Forecasting And Pca-Driven Agricultural Drought Monitoring., Bishal Poudel

Theses

Drought is a long-term natural disaster that affects many aspects of human life from health, water supply to ecosystems and agriculture. Drought’s occurrence and intensity has increased in recent years because of global warming, which urges for proper and accurate monitoring and forecasting of drought. For better understanding of droughts, this study uses two approaches. In first part, the study uses the historical temperature and precipitation data from period of 1960 to 2021 as input features for three different machine learning models – Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest (RF). The research focuses on calculating …

Neutrosophic Sets And Systems, Vol. 91,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Monte Carlo Simulations Of Geometric Deformation Of Harrison-Anderson-Mick Applicators Used In Intraoperative Radiation Therapy, Benjamin Insley, Brett Bocian, Sam Beddar, Reza Reiazi, Patrick James Jensen, Rachael M Martin-Paulpeter, Joshua Scott Niedzielski, David Flint, Gabriel Oliveira Sawakuchi, Luis Augusto Perles

Faculty, Staff and Student Publications

Background: The Harrison-Anderson-Mick (HAM) applicator is a high-dose-rate intraoperative radiotherapy (HDR-IORT) applicator used to position Ir-192 brachytherapy sources over surgically-accessed tumor volumes or post-resection tumor beds. Because of the lack of a 3D imaging system, dwell times are optimized pre-surgery by a TG-43-based treatment planning system (TPS) that assumes a perfectly flat applicator surface surrounded by an infinite water phantom. These assumed conditions are disparate from typical treatment conditions, especially in the pelvic regions, which often involve uneven patient surfaces and superficial irradiations with little to no backscatter material.

Purpose: Develop and validate a Monte Carlo (MC) model of HDR-IORT …

Flood Susceptibility Assessment Through Gis Integrated Analytical Hierarchy Process And Machine Learning Models, Sujan Shrestha

Theses

Flooding is among the most destructive natural disasters globally, and it inflicts severe damage on both natural environments and human-made structures. The frequency of floods has been increasing due to unplanned urbanization, climate change, and changes in land use. Flood susceptibility maps help identify at-risk areas, supporting informed decisions in disaster preparedness, risk management, and mitigation. This study aims to generate a flood susceptibility map for two regions: Davidson County of Tennessee using an integrated geographic information system (GIS) and analytical hierarchical process (AHP), and the Briar Creek watershed of Mecklenburg County, North Carolina using an integrated GIS and machine …

Cefadroxil-Induced Drug Reaction With Eosinophilia And Systemic Symptoms (Dress) Syndrome After Double Mastectomy For Ductal Carcinoma In Situ: A Case Report, Iyawnna Hazzard, Alexandra Hong, Darius J. Shahbazi, Shahin Shahbazi

Student Publications

Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a delayed hypersensitivity reaction to medications, characterized by a prodrome of malaise and fever, followed by skin and hematologic manifestations and end-organ damage. Typical causal agents of DRESS syndrome include allopurinol, aromatic anticonvulsants, and antibiotics. However, fewer than 3% of cases suggest cephalosporin-induced DRESS syndrome.

A 43-year-old female developed a diffuse, erythematous, pruritic rash encompassing her whole body after starting prophylactic cefadroxil therapy before a double mastectomy for ductal carcinoma in situ. Her rash continued to worsen despite discontinuation of cefadroxil and developed a fever, myalgias, and generalized weakness. In …

Antipsychotic Misuse: A Silent But Growing Public Health Hazard, Sumeet Bhardwaj, Karisma Pathak, Myra Mclenon, Steven Spector, Kevin Tu

Student Publications

Antipsychotic drugs are essential in the management of schizophrenia, bipolar disorder, and other psychiatric illnesses, but their use is closely linked to cardiometabolic side effects. Cardiometabolic side effects include weight gain, dyslipidemia, glucose intolerance, and increased cardiovascular morbidity and mortality. Mechanisms of cardiometabolic side effects involve disruption of the central nervous system’s ability to regulate appetite, peripheral metabolic effects, which are changes in metabolism outside the CNS, and receptor-level interactions, with second-generation antipsychotics generally posing a greater risk than first-generation agents. This review addresses current evidence on the cardiometabolic consequences of antipsychotic therapy, increasing inappropriate off-label use of antipsychotic drugs, …

Virtual Reality Protocol Development For Bone Marrow Aspiration And Biopsy In Adults With Blood Cancers, Maria Motta

Doctoral Scholarly Projects & Capstones

Patients with hematologic malignancies such as leukemia, multiple myeloma, and lymphoma frequently undergo bone marrow aspiration and biopsy (BMAB) procedures throughout their treatment trajectory. At a comprehensive cancer research hospital in southern California, these procedures were commonly performed on an outpatient basis by nurse practitioners and physician assistants while patients remained awake under topical anesthesia. Despite these measures, patients consistently reported significant pain and anxiety during BMAB procedures (Glennon et al., 2018). Current literature supported the use of virtual reality (VR) as an effective non-pharmacologic intervention to reduce pain and anxiety in cancer populations (Ahmad et al., 2020). However, the …

Ethnomusicologically Augmented French Diction Course, Jake Larcqua

Doctoral Scholarly Projects & Capstones

Modern diction pedagogy in university vocal performance education largely depends on a combination of International Phonetic Alphabet transcription study and the application of those systems to Western-Classical vocal repertoire. However, recent research in related fields suggests we may be able to expand our diction teaching methods to better meet the needs of our students. Using a combination of second-language pedagogic principles, folksong structure, self-efficacy concepts, modeling structures, and ethnomusicological perspectives on classroom culture, I have drafted a French diction course that should improve not only students’ performance within university vocal music education, but also students’ confidence in their ability to …

The Interaction Of Income Inequality With Road Maintenance Expenditure In Terms Of Effect On Regional Economic Development, Chigoziem Munachiso Uzoigiwe

All Dissertations

Persistent income inequality and deteriorating infrastructure continue to challenge balanced economic development across U.S. regions, raising questions about how public investment can be optimized to address both. Therefore, this study examined the interaction between income inequality and road maintenance expenditures in driving economic growth in the United States. I analyzed whether road maintenance can offset the adverse effects of inequality on regional growth and whether the benefits of such infrastructure investment vary with the level of inequality. Using state-level panel data on GDP, infrastructure spending, income inequality, education, and other socioeconomic indicators, I estimated the direct and interactive effects of …

Early Conceptual Sketches Of Blended Reality And The Precursor To The Bbs Quad (2022), David Smith

Publications and Research

This document contains two original hand-drawn conceptual sketches created in early 2022, representing the earliest visual formulations of what would later evolve into the Balanced Blended Space (BBS) framework. The drawings predate my first conversations with ChatGPT and were produced as part of my independent sabbatical research into blended environments, mediated performance, and human–machine interaction.

The first drawing examines human–computational mediation, perception, and internal mapping. The second sketch—later referred to informally as the “BBS Quad”—extends this idea by reconciling cognition–computation symmetry with physical–virtual spatial relationships. Published together, these images document the conceptual foundations of the BBS framework prior to its …

Advancement Of Wearable Hardware & Possible Cross-Sector Applications, Yassine Chahid, Patrick Slattery

Publications and Research

This study examines recent advances in wearable technologies including smart glasses, watches, rings, and related devices. It evaluates their applications across healthcare, manufacturing, education, and logistics. As real-time data collection, hands-free interaction, and continuous health monitoring become more prevalent, wearables are emerging as pivotal tools for both personal and professional contexts. The methodology combines a comparative analysis of current-generation devices, a review of technical specifications from manufacturer documentation, and case studies of specialized deployments, particularly in medical diagnostics, remote monitoring, and workplace efficiency. Project findings will indicate the rate at which wearable devices are moving beyond consumer fitness tracking and …

Greenhouse Gas Accounting For Western Australian Agriculture 2023, Johnny Machon, Christophe D'Abbadie

Climate Science Published Reports

This report presents new modelling of the greenhouse gas emissions attributable to Western Australia’s agricultural industries and provides an overview of sequestration at the state level. The report updates the estimates from previous technical reports by the Department of Primary Industries and Regional Development (DPIRD). It presents not only emissions from agricultural activities in Western Australia (WA) but also from the production of agricultural inputs and energy use. This broader picture of emissions aligns with frameworks for emissions reporting at the business and product level.

Total on-farm and pre-farm emissions are estimated to have been about 12.6–13.3 million tonnes of …

Instance-Adaptive Gated Fusion Of Multi-Transform Image Representations, Prince Appiah

Open Access Theses & Dissertations

This dissertation proposes the Instance-Adaptive Gated Fusion (IAGF) framework, a novel deep learning architecture for adaptive and interpretable fusion of multiple time–series image transformations. While existing methods rely on static concatenation or dataset-level optimization, IAGF introduces a learnable gating mechanism that dynamically assigns per-instance weights to Recurrence Plots (RP), Gramian Angular Summation Fields (GASF), and Gramian Angular Difference Fields (GADF). The gating layer performs a convex fusion of transformation-specific embeddings under a softmax constraint, ensuring mathematical stability and interpretability. An entropy-regularized objective prevents dominance collapse and promotes balanced exploration of transformations during training. Comprehensive experiments across eighteen benchmark datasets, spanning …

Evaluation And Identification Of Risk Factors For Stress Among Maquiladora Workers Based On The Mexican Official Standard 035 Survey Tool, Andrea Baca Melendez

Open Access Theses & Dissertations

Background and significance: Occupational psychosocial risk factors are workplace conditions that can trigger physiological, emotional, cognitive, and behavioral changes. They are strongly associated with mental health issues such as anxiety and depression, as well as non-mental health conditions like myocardial infarction, stroke, and occupational injuries. Analyzing these risks from a sociodemographic perspective provides valuable insights for improving work environments and workers’ well-being. Purpose: This study aimed to identify and determine the levels of occupational psychosocial risk factors among workers in a manufacturing company in Cd. Juárez, Chihuahua, and to examine their relationship with sociodemographic variables to inform future interventions in …

Simulation, Modeling, And Economical Optimization Of Small Modular Reactors For Flexible Power System Operations, Javier Bejarano

Open Access Theses & Dissertations

The transition toward a low-carbon and increasingly renewable electric grid has heightened the need for generation technologies that can deliver both stability and operational flexibility. Small Modular Reactors (SMRs), with their modularity, reduced geographical footprint, and capacity for flexible operation, have emerged as promising resources for supporting modern power systems. However, a comprehensive evaluation of their technical performance across steady-state conditions, fault-induced disturbances, and economically optimized dispatch is necessary to understand their role in future grid architectures. This thesis provides an assessment of SMR capabilities using benchmark test systems, data-driven forecasting, dynamic simulation, and unit commitment modeling to evaluate how …

Enduring Efffects Of Juvenile Fluoxetine Exposure On Serotonin Transporter Expression Within The Hippocampus And Prefrontal Cortex Of Male C57bl/6 Mice, Daniel Eduardo Calvo

Open Access Theses & Dissertations

Prescription rates of fluoxetine, the most dispensed selective serotonin reuptake inhibitor, have been rising among the juvenile population. Since adolescence is a critical developmental period in which the brain undergoes pruning, chronic increases in serotonin levels may lead to long-term neurobiological changes in brain regions responsible for emotional regulation. Thus, using mice as a model system, this thesis evaluated how adolescent fluoxetine exposure (AFE) influences the expression of serotonin transporters (SERT) in the adult hippocampus and prefrontal cortex. To do this, postnatal day (PD)-35 male C57BL/6 mice were administered with fluoxetine (250 mg/l in their drinking water) for 15 consecutive …

Ai-Facilitated Abuse & Misogyny: A Feminist Response To Non-Consensual Intimate Image Deepfakes, Lizbeth Carmona

Open Access Theses & Dissertations

The creation of non-consensual intimate images utilizing AI deepfake technology has been demonstrated to overwhelmingly target women. The harms of non-consensual intimate image deepfakes are similar to other forms of misogynistic abuse, including intimate image abuse and online objectification. This project seeks to contextualize this phenomenon within feminist accounts of misogyny and its role in regulating women's behavior. In particular, this project highlights that the accessibility of this technology has lowered the threshold of abuse, despite the individual woman's preventive measures. Furthermore, this project argues that the dissemination of non-consensual intimate image deepfakes is a morally problematic situation because it …

Hydrological Responses To Rainfall Pulses In Desert Vadose Zones: A Multi-Scale Approach Integrating Geophysical, Isotopic, And Eddy-Covariance Measurements, Alfredo Dagda-Torres

Open Access Theses & Dissertations

Drylands are shaped by natural episodic precipitation, where short, intense rainfall pulses interrupt prolonged drought and drive most hydrological and ecological activity. Yet the mechanisms that determine how pulse water infiltrates, is redistributed, stored, evaporated, and ultimately used by desert vegetation remain under quantified in landscapes underlain by shallow petrocalcic horizons. This dissertation integrates three complementary approaches 1) three-dimensional electrical resistivity tomography, 2) eddy-covariance evapotranspiration partitioning, and 3) stable-isotope tracing to improve a mechanistic understanding of pulse-driven water movement and plant water use in a caliche-rich piedmont at the Jornada Experimental Range. The first component characterizes how infiltration pulses interact …

Intelligent Predictive Frameworks Under Data Scarcity And Uncertainty, Solayman Hossain Emon

Open Access Theses & Dissertations

Modern predictive systems frequently operate under conditions of limited annotated data, high uncertainty, and the need for reliable decision-making. When the predictive models expand across heterogeneous data types (e.g., spatial, temporal streams), the challenge lies not only in accurate prediction but also in adapting in data distributions shifts or label scarcity. To address these issues, this thesis explores an Intelligent Predictive Framework that operates robustly under data scarcity and uncertainty across two distinct domains: medical imaging (spatial) and time-series forecasting (temporal). In the first part of this work, a semi-supervised mean teacher (MT) paradigm is tailored for medical image segmentation …

Development Of Oxide And Oxynitride Thin Films For Advanced Optical Applications, Nathan Christopher Episcopo

Open Access Theses & Dissertations

To develop Ga2O3 and TiOₓNᵧ thin films for optical applications, the process–structure–properties relationship was investigated using a comprehensive set of characterization techniques to establish the atomic structure and composition of the films in relation to the deposition conditions. The results provide critical insights into how deposition parameters influence the atomic structure and composition during magnetron sputtering. Furthermore, the correlation between atomic structure and composition with the optical and electrical properties of the films was examined to determine how variations in these factors affect functional performance. Collectively, these findings offer the necessary information to target desirable optical properties for Ga2O3 and …