Digital Commons Network^™

Neutrosophic-Supported Machine Learning Models For Oral Disease Classification, Ibrahim M. Elezmazy, Doaa El-Shahat

Neutrosophic Sets and Systems

This study is presented to investigate the influence of the neutrosophic (NS) domain on the performance of the most common machine learning (ML) models. Specifically, it evaluates the effectiveness of Random Forest (RF), Extra Trees (ET), K-Neighbors (KNN), Gaussian Naive Bayes (GaussianNB), and Decision Tree (DT) classifiers in detecting oral diseases. The NS domain divides any image into three membership components: falsity (��), indeterminacy (��) and truth (��), where T denotes the degree to which each pixel in an image is a member of a particular class or category, F denotes the degree to which the pixel is not a …

Module 5 - Student Workbook, Karon Klipple, Cheryl Hedden

Module 5 Workbook

No abstract provided.

Module 3 - Exam, Karon Klipple, Cheryl Hedden

Module 3 Assessments

Use only class notes and assignments and Use of calculator, computer and internet is forbidden. Do not get help from others and just take it by yourself.

Module 3 Barbie Bungie Contest, Karon Klipple, Cheryl Hedden

Module 3 Assessments

Your goal is to have Barbie or Ken safely bungie jump from 218cm above ground.

Whichever group gets their Barbie or Ken closest to the ground, without hitting their head, wins!

Module 2 Exam Questions, Karon Klipple, Cheryl Hedden

Module 2 Assessments

Use only class notes and assignments and NOT computers, Internet and calculator.

Module 1 Student Workbook, Karon Klipple, Cheryl Hedden

Module 1 Workbook

No abstract provided.

Module 2 - Student Workbook, Karon Klipple, Cheryl Hedden

Module 2 Workbook

No abstract provided.

Tort Law And Practice, Carol M. Suzuki, Dominick Vetri, Lawrence C. Levine, Joan E. Vogel, Ibrahim J. Gassama, Deepa Badrinarayana

Faculty Book Display Case

The seventh edition of Tort Law and Practice continues to provide a rich and inclusive context for the study of tort law fundamentals and underlying policies. The innovative, student-centered casebook, which has been well-received by law students since its inception, thoroughly develops core tort principles and enhances student learning through the use of cases, notes, questions, element summaries, flowcharts, and problems. The book includes both short problems and others that are more akin to examination questions. The casebook provides frequent opportunities to consider tort law in a social justice context relevant to class, race, ethnicity, gender, and sexuality. For example, …

Hslic Annual Report Fy2024-25, University Of New Mexico Health Sciences Library And Informatics Center

HSLIC Annual Reports

Annual report for FY 2024-2025.

Cognitive Biases As Interrupters In Evidence Based Practice Decision-Making: Dataset, Jonathan Eldredge, Deirdre Hill

Publications

No abstract provided.

Superhypergraph Neural Networks And Plithogenic Graph Neural Networks: Theoretical Foundations, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while superhypergraphs further generalize this concept to represent even more complex relationships. Neural networks, inspired by biological systems, are widely used for tasks such as pattern recognition, data classification, and prediction. Graph Neural Networks (GNNs), a well-established framework, have recently been extended to Hypergraph Neural Networks (HGNNs), with their properties and applications being actively studied. The Plithogenic Graph framework enhances graph representations by integrating multi-valued attributes, as well as membership and contradiction functions, enabling the detailed modeling of complex relationships. In the context of handling uncertainty, concepts such as …

Reconsideration Of Neutrosophic Social Science And Neutrosophic Phenomenology With Non-Classical Logic, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Body-Mind-Soul-Spirit Fluidity is a concept rooted in psychology and phenomenology, offering significant insights into human decision-making and well-being. Similarly, in social analysis and social sciences, frameworks such as PDCA, DMAIC, SWOT, and OODA have been established to enable structured evaluation and effective p roblem-solving. Furthermore, in phenomenology and social sciences, various logical systems have been developed to address specific objectives and practical applications. This paper extends these concepts using the Neutrosophic theory, revisiting their mathematical definitions and exploring their properties. The Neutrosophic Set, an extension of the Fuzzy Set, is a highly flexible framework that has been widely studied in …

Cvitlnn: A Hybrid Approach Based On Vision Transformer And Liquid Neural Network For Covid-19 Detection, Muhammad Waqaq, Florentin Smarandache, Muhammad Yasir, Farrukh Arslan, Anum Ali

Branch Mathematics and Statistics Faculty and Staff Publications

The COVID-19 pandemic has underscored the need for accurate and rapid diagnostic tools to assist clinical decision-making. Conventional deep learning models for COVID-19 detection in Chest X-Ray (CXR) images face challenges in poor generalization across imaging conditions and high computational demands. To address these issues, this study proposes CviTLNN, a novel hybrid model combining Vision Transformers (ViTs) and Liquid Neural Networks (LNNs) to improve feature extraction and classification. Specifically, CviTLNN employs a ViT with 24 transformer encoder blocks for efficient extraction of spatial features. The self-attention mechanism of ViTs effectively captures global and local dependencies in CXR images. Furthermore, …

Uncertain Labeling Graphs And Uncertain Graph Classes (With Survey For Various Uncertain Sets), Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Graph theory, a branch of mathematics, studies the relationships between entities using vertices and edges. Uncertain Graph Theory has emerged within this field to model the uncertainties present in real-world networks. Graph labeling involves assigning labels, typically integers, to the vertices or edges of a graph according to specific rules or constraints. This paper introduces the concept of the Turiyam Neutrosophic Labeling Graph, which extends the traditional graph framework by incorporating four membership values—truth, indeterminacy, falsity, and a liberal state—at each vertex and edge. This approach enables a more nuanced representation of complex relationships. Additionally, we discuss the Single-Valued Pentapartitioned …

Plithogenic Duplets And Plithogenic Triplets, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

A Neutrosophic Set is a mathematical framework that represents degrees of truth, indeterminacy, and falsehood to address uncertainty in membership values [41, 42]. In contrast, a Plithogenic Set extends this concept by incorporating attributes, their possible values, and the corresponding degrees of appurtenance and contradiction [50]. Among the related concepts of Neutrosophic Sets, Neutrosophic Duplets and Neutrosophic Triplets are well-known. This paper defines Plithogenic Duplets and Plithogenic Triplets as extensions of these concepts using the Plithogenic Set framework and briefly examines their relationship with existing concepts.

A Plausible Formal Correspondence Between Tetrahedral Condensates/Tsc And Pt-Symmetric Crystals Model Of Cmns (Aka. Low-Energy Nuclear Reactions), Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Akito Takahashi's Tetrahedral Symmetric Condensate (TSC) model, detailed in several of his earlier works1 proposes a mechanism for condensed matter nuclear science (CMNS) aka. low-energy nuclear reactions (LENR) within palladium lattices. The model centres on the formation of a tetrahedral cluster of deuterons, enhancing the probability of nuclear fusion. Here, we explore the possibility of extending this framework by considering the TSC within a more general crystalline solid with tetrahedral symmetry, and by approximating the screening potential experienced by the deuterons using PT-symmetric potentials.

When Emotions Flare: Solar Rhythms, Emotions And Cycles Of Political Revolution, Andreas Hernandez, Carolina Zilli Vieira, Alexandra Smith, Rebecca Olson

Geography and Environmental Studies Faculty Publications

Revolutions are among the most transformative events in human history. Analyzing 395 revolutionary episodes from 1900 to 2014, we find that major waves cluster around solar maxima - periods of intensified geomagnetic activity. Drawing on biomedical research linking geomagnetic disturbances to cardiovascular and stress regulation, and thus to emotional states, we propose that solar cycles modulate the affective ecologies within which revolutions arise. Solar activity may accelerate, shape, and amplify revolutionary cycles by heightening emotional climates and tipping fragile systems toward mass mobilization. This reframes revolutions as planetary events - entanglements of political conflict, embodied emotion, and cosmic …

Proximal Tibia Biplanar Anterior And Lateral Closing Wedge Osteotomy With Concomitant Revision Anterior Cruciate Ligament Reconstruction: A Case Report, Shane H. Johns, Lisandro Nardin, Jessica A. Nelson, Robert Schenck

Western Journal of Orthopaedics

This report documents a unique, successful strategy to manage a failed anterior cruciate ligament reconstruction (ACLR) in the setting of coronal and sagittal plane malalignment. The patient is a 38-year-old man with a history of a failed ACLR who presented with recurrent knee instability. Imaging revealed a posterior tibial slope (PTS) of 17° complicated by a varus malalignment of 10°. A single-stage anterior and lateral closing wedge tibial osteotomy (biplanar) with simultaneous revision anterior cruciate ligament reconstruction was performed. Final radiographic evaluation revealed that the tibial osteotomy healed with correction of coronal alignment to a physiologic 3° varus and a …

Enhancing Neutrosophic Data Analysis: A Review Of Neutrosophic Measures And Applications With Neutrostat, Zahid Khan, Katrina Lane Krebs

Neutrosophic Sets and Systems

Neutrosophic statistical measures analyze data that is not fully determined, often due to imprecise observations. This type of data presents a major concern in neutrosophic statistics. The existing literature cat egorizes neutrosophic measures into two types: descriptive and inferential, aiming to broaden the categorization of statistics in these two major areas. Every statistical measure can be contextualized within the neutrosophic framework by acknowledging the inherent imprecision, vagueness, or not fully defined. In this study, the major focus is on reviewing existing neutrosophic measures rather than proposing new ones. The aim is to enhance current neutrosophic structures to make them more …

A Statistical Comparison Study Of A Real-Life Survey Data On Procedural Justice Via Neutrosophic Likert Scale With Score Function And Classical Likert Scale, Seher Bodur, Selçuk Topal, Hacı Gürkan

Neutrosophic Sets and Systems

The present study aims to examine the distinctions between Likert and Neutrosophic scales in their ability to measure organizational behaviors and the many dimensions of organizational justice. To evaluate procedural justice, 6 questions measuring procedural justice from the Learning Environment Questionnaire were used. Compared to the Likert scale, the Neutrosophic scale exhibited greater decision weights and a more distinct expression of participants' ideas due to its ability to capture more complex replies. The reliability of both scales was found to be high, as indicated by satisfactory Cronbach's alpha coefficients. The results of the exploratory factor analysis indicated that both scales …

Fail-Safe Logic Design Strategies Within Modern Fpga Architectures, Priya A. Bhakta

Electrical and Computer Engineering ETDs

Field Programmable Gate Arrays (FPGAs) are vulnerable to radiation-induced single event upsets (SEUs) and fault injection attacks, requiring the use of redundancy techniques such as fail-safe computing. Fail-safe computing refers to computing systems that revert to a non-operational safe state when a fault occurs. This work investigates circuit-level techniques and implements fail-safe computing processes as mitigation for SEUs and fault injection attacks on FPGAs. The analysis reveals vulnerabilities that exist in FPGAs over those in application-specific integrated circuits (ASIC); thus, requiring a more elaborate network of redundant circuits and checking logic. The reconfiguration capability of FPGAs adds complexity to fail-safe …

A Multimodal Examination Of Altered Reward Processing In Anhedonia, Christopher J.H. Pirrung

Psychology ETDs

Anhedonia refers to a complex deficit in depression, characterized by deficits in reward processing. An EEG signal of reward, the Reward Positivity, has been proposed as a potential biomarker of depressive symptoms. In this investigation, we define generative neural sources of the Reward Positivity using MEG and examine the source level deficits of this signal associated with anhedonia. A composite measure of anhedonia was defined in this sample, combining several self-report measures of anhedonia. Ventral hypoactivation was present in depressed individuals alongside a counterintuitive positive correlation with anhedonia. An independent study using fMRI in the same subjects found similar, but …

Training Machine Learning Algorithms For The Transient Startup Of A Long-Life Modular Microreactor, Ahmad N. Shaheen

Nuclear Engineering ETDs

There is an increasing interest in developing and deploying small modular nuclear reactors (SMRs) and micro modular reactors (MMRs). They could be operated with minimal on-site personnel or remotely with a high degree of autonomy. This can be enabled through the use and application of Artificial Intelligence (AL) and Machine Learning (ML) algorithms and methods. The objective of the present work is to train machine learning algorithms for remote control mimicking the transient startup of the Very-Small, Long-LIfe, Modular (VSLLIM) microreactor. This walk-away safe microreactor design and a fully integrated transient model have been developed at the University of New …

Ready, Set, Woes: A Narrative Inquiry Into Special Education Teacher Attrition By Transfer To General Education, Brent G. Collom

Teacher Education, Educational Leadership & Policy ETDs

Despite the prevalence of unfilled special education teaching positions nationwide, it is fair to ask whether there is truly a shortage of special education teachers (SETs). While SETs leave education at high rates, they are almost twice as likely to transfer to general education positions. Many former SETs are employed in schools yet outside of special education.

This narrative inquiry examined the stories of 10 former SETs who transferred to general education. This study found that former SETs continue to identify as teaching special education. Former SETs want general education teachers (GETs) and administrators to have training in special education …

Ge/Sige Quantum Wells: Material For The Post-Moore Era, Troy Alexander Hutchins-Delgado

Optical Science and Engineering ETDs

This dissertation demonstrates high-quality germanium quantum wells on a 200 mm silicon wafer platform, enabling novel device possibilities. Partnering with a commercial silicon-germanium epitaxy supplier, we obtained shallow, undoped germanium quantum wells with high-crystalline quality, confirmed through x-ray diffraction, secondary ion mass spectroscopy, high-resolution scanning transmission electron microscopy, and energy dispersive x-ray spectroscopy. Hall bar devices fabricated on single quantum wells revealed that surface preparation can tune transport properties while maintaining peak mobilities around 10⁵ cm²V⁻¹s⁻¹. Manganese-germanide spintronic contacts were integrated via solid-state reaction, with contact quality assessed through Schottky diodes, transfer length …

Hypoxia-Inducible Factor 3Α1'S Role In Promoting Iron Loading, Tumorigenesis, And Metastasis In Colorectal Cancer, Luke B. Villareal

Biomedical Sciences ETDs

The interplay between hypoxia and iron metabolism drives colorectal cancer (CRC) progression. This dissertation investigates hypoxia-inducible factor 3α1 (HIF-3α1), a protein linked to poor CRC outcomes, focusing on its roles in metastasis, epithelial-to-mesenchymal transition (EMT), and iron loading via transferrin receptor (TFRC). HIF-3α1 promotes CRC cell migration by upregulating zinc finger E-box binding homeobox 2 (ZEB2) and suppressing N-myc downstream-regulated gene 1 (NDRG1), while TFRC-mediated iron accumulation supports tumor growth and survival. Iron chelation reduced EMT markers, migration, and tumor growth, highlighting iron's critical role. Additionally, HIF-3α1-induced TFRC expression altered nucleotide synthesis enzymes carbamoyl-phosphate synthetase-aspartate transcarbamoylase-dihydroorotase (CAD) and phosphoribosyl pyrophosphate …

Validation Of A Culturally Adapted Neuropsychology Screening Measure Among Older American Indians, Katherine A. Edwards

Psychology ETDs

American Indian (AI) older adults are most at risk of developing Alzheimer’s disease and other dementias in the United States. However, there are no cognitive screening tools validated or normed for AI populations, limiting the diagnostic accuracy of current tools. In this study, a culturally adapted screening tool was adapted for three different sites with older AI adults, and validated against widely used neurocognitive screening measures to determine convergent validity. Results found that adapted story memory scores were significantly higher than unadapted scores. Additionally, culturally salient story memory scores were more consistent with measures of crystalized intelligence, while unadapted story …

Language Use Of Emergent Bilingual Latino/A Students In A Music Class Setting, Karen G. Granados Dumais

Language, Literacy, and Sociocultural Studies ETDs

This study investigated the way in which emergent bilingual students utilize their linguistic repertoire in order to achieve new learning. Previous research has suggested that bilingual students learn differently than their monolingual counterparts due to their varying linguistic repertoires. Research has also suggested that translanguaging and culturally relevant teaching are valuable frameworks to adopt in the classroom, as they result in a better academic experience for all students.

I took an ethnographic approach while conducting a case study. I collected data in my elementary music classroom in the form of observations, audio recordings, and document analysis in order to help …

Oral History Casey Goodson, Brady Goodson

Oral Histories HIST 300, Fall 2024

Interview of pastor Casey Goodson by Brady Goodson. Discusses elementary education and teaching as well as the work of a pastor.

Teresa Rodriquez Academic History, David L. C'De Baca

Oral Histories HIST 300, Fall 2024

Oral History of Teresa's current academic achievements