Digital Commons Network^™

Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco

Neutrosophic Sets and Systems

This paper addresses the challenge of modeling uncertainty in hyperbolic geometry, where non-Euclidean properties, such as angle sums in triangles smaller than 180°, complicate traditional trigonometric calculations. The relevance of this topic lies in its application in fields such as cosmology, robotics, and signal processing, where curved spaces and imprecision are common. Although the literature has explored fuzzy geometry and trigonometry under uncertainty, it lacks a framework that integrates negative curvature with explicit indeterminacy. To overcome this gap, a methodology is proposed that combines hyperbolic geometry with neutrosophic trigonometry, using neutrosophic sets (T, I, F) to represent angles and calculate …

Scholarai Scholarly Article Search Strategies With The Ayni Method Multi-Neutrosophic For Ethical Information Management In Ai, Ennio Jesús Mérida Córdova, Elizabeth Esther Vergel Parejo, Raúl López Fernández

Neutrosophic Sets and Systems

In a digital world where scientific articles are published at an unprecedented rate, an additional step in the research process to facilitate discovery is an effective search and filtering for worthwhile articles. Thus, this study aims to solve the following research problem: how to search for scientific articles using artificial intelligence (AI) while applying ethical considerations and ancestral knowledge? The topical relevance is that as AI is a great vessel to seek potentially accessible knowledge, searches can be guaranteed through accuracy, inclusivity, and ethics. While many studies exist on the topic of AI related to searching, few, if any, extend …

Empowering Multigrade Interdisciplinary Assessment Through Plithogenic Offsets And Artificial Intelligence For Dynamic And Personalized Education, Roger Martinez Isaac, Rudy García Cobas, Carlos Roberto Humanante Cabrera, María Andrea Soto Granda, Linda Florangely Soto Torres

Neutrosophic Sets and Systems

This contribution addresses the issue of interdisciplinary assessment in multigrade classrooms: the diverse levels and the assessment path's unclear direction fail to render efficient learning. How can assessment be refined to avoid such discrepancies and establish a better path of equalized and contextualized learning? It's a pressing question for 21st-century learning—more so in rural areas where interdisciplinary attempts can create holistic and connected learning for the learners—but the literature fails to guide systematically, apart from rendering systematic solutions that rely only on tacit, non-explicit, technical interventions. Therefore this research contributes a systematic intervention that combines a Plithogenic Offset—neutrosophic attempts to …

Exploring Irrational Number Learning Using The Plithogenic Hypothesis Method: Integrating Incommensurability, Decimal Representations, And Cognitive Conflict, Daniel Alberto Vaderrama Martinez, Gerardo Antonio Chacon Guerrero, Osvaldo Jesus Rojas Velazquez

Neutrosophic Sets and Systems

This dissertation aimed to formulate a theory regarding high school students' learning of irrational numbers with the plithogenic hypothesis method as a modeling instructional approach for incommensurability, decimal expansions, and cognitive conflict. Using a concurrent Design-Based Research (DBR) and Grounded Theory (GT) method with twelve eleventh-grade students during 2025 in Bogotá, Colombia, four didactic interventions occurred addressing incommensurability, geometric representations, approximated sequences, and interdisciplinary uses; data were analyzed through systematic coding and plithogenic matrices, with results presented through truth, uncertainty, and falsity. Conclusions revealed that incommensurability (60% consensus) serves as a conceptual anchor to justify subsequent understandings, decimal expansions (50% …

Neutrosophic Framework For Violence Prediction In Urban Environments: A Hybrid Approach Integrating Fsqca And Machine Learning For Public Safety Decision-Making, Alfonso Aníbal Guijarro Rodríguez, Tatiana Mabel Alcívar Maldonaldo, Leili Genoveva Lopezdominguez, Matilde Briggitte Silvers Briones, John Henry Fernández Vera

Neutrosophic Sets and Systems

In the context of citizen security, predictive systems for urban violence are essential for preventive decision-making and the efficient allocation of security resources. This work proposes an innovative neutrosophic framework that integrates Fuzzy Qualitative Qualitative Comparative Analysis ( fsQCA ) with Machine Learning algorithms to predict urban violence patterns in complex and uncertain environments. Neutrosophic logic allows handling the uncertainty, imprecision and inconsistencies inherent in social data, while fsQCA identifies complex causal configurations that traditional statistical methods cannot capture. The developed hybrid model combines Random Forest, fuzzy logic, and neutrosophic logic are used to process homicide data, demographic variables, and …

Between Excellence And Sustainability: A Critical And Bibliometric Review With A Neutrosophic Approach To Academic Quality And Financial Health In Chilean Higher Education, Herminia Gavilán, Claudio Ruff, Luis Benites, Alexis Matheu

Neutrosophic Sets and Systems

This article develops a critical and bibliometric review of academic quality and financial health in Chilean higher education, within socio-academic contexts in which current Latin American social problems simultaneously jeopardize equitable access, institutional sustainability, and quality standards. The review covers 63 documents indexed in international databases between 2010 and 2025, systematized under a neutrosophic stance detection methodology. The results highlight the risks of high tuition dependence, the positive effects of income diversification, and the relevance of governance, retention, and faculty profiles for financial and academic sustainability. In addition, demographic decline and increased competition emerge as contextual threats. The study integrates …

Validation Of Relationships Between Effective Lead-Ership And Organizational Performance Through Workplace Well‑Being: Formulation Of Neutrosophic Plithogenic Hypotheses In The Context Of Ecuadorian Public Higher Education, Otto Villaprado Chávez, Jaime Rivera Camino

Neutrosophic Sets and Systems

This investigation correlates effective leadership with organizational performance of public universities in Ecuador, while employee well-being plays a mediating role. Such a topic is relevant because public educational management must be maximized since many public entities struggle with resources and human talent—such challenges translate to critical determinants of institutional quality and public and private market competitiveness. Moreover, whilst literature exists on leadership and performance, few have explored the mediation role of employee well-being in Latin America; thus, an opportunity arises to fill the literature gap with meaningful findings. Thus, to solve the problem, an approach based on neutrosophic plithogenic hypotheses …

Data Mining: Predictive Model Of The Socioeconomic Impact Of Covid-19 On The Income Of Cooperative Members Validated Using Neutrosophic Topsis And The Hausdorff Distance, Alexander Palacios Zurita, Rosa Giler Zambrano, Dayron Rumbaut Rangel

Neutrosophic Sets and Systems

The COVID-19 pandemic generated a socioeconomic disruption that affected household income, making it crucial to identify modulating factors in vulnerable contexts. This study aimed to develop a predictive model using data mining to determine the socioeconomic, demographic, and well-being factors that influence the income level of 1,456 members of three cooperatives in Manabí, Ecuador, before, during, and after the lockdown. The Interindustry Standard Process for Data Mining methodology was employed. The survey data were segmented into training and test sets, with oversampling applied to the minority classes to correct for imbalances. Several supervised classification algorithms were trained and evaluated in …

Modeling Numerical Thinking In Second-Year Students Using Neutrosophic Cognitive Maps In Game-Based Learning, Nayade Caridad Reyes Palau, Amable Nelly Hodelín, Elizabeth Esther Vergel De Salazar, Lidia Carmita Pucha Medina, Mariela Alexandra Flores García

Neutrosophic Sets and Systems

This problem is a development of numerical thinking of second course Basic General Education students where insufficient understanding of digits and little enthusiasm obstructs proper learning. The topicality of the problem is relevant since understanding numbers since early age allows for proper academic growth and task oriented problem-solving success in the everyday life—it is needed in a quite strict setting that allows for great logical-mathematical skills. The previous solutions did not meet the requirements of recent studies conducted in the field of games learning, as they did not integrate the uncertainly that reflected the cognitive developments of children, nor did …

Neutrosophic Psychology In Playful Spelling Learning: Understanding Cognitive And Emotional Dynamics In Spelling Competence, Giselle Rodríguez Caballero, Martha Silvia Mancebo Calzado, Elsy Rodríguez Revelo, Lissett Aide Perea Tenorio, Cecilia Denisse Anangonó Corozo

Neutrosophic Sets and Systems

The problem explored in this article is spelling ability of 3rd year students of Basic General Education and how neutrosophic psychology can enhance spelling rules through playful teaching. Spelling is an essential component of presenting one's thoughts formally and non-verbally; unfortunately, without motivation and without dynamic approaches, spelling becomes complicated. The problem is observed in problems of the contemporary educated world as (positional) writing is formalized, and the requirements of language standards always should be met, which means logic and causation should be added for future endeavors of logical thinking and orientations by the public. Thus, similar research exists regarding …

Descriptive And Diagnostic Analysis Of Customer Complaints For Different Electric Companies Of Ecuador Using Neutrosophic Logic, Marco Arguello Arguello, Franklin Parrales Bravo, Roberto Tolozano Benites, Dayron Rumbaut Rangel

Neutrosophic Sets and Systems

This article presents a descriptive analysis of complaint and claim management by ARCONEL and Electricity Distribution Companies in Ecuador for the year 2023. The dataset includes information about complaint outcomes such as 'Procedentes' (resolved), 'No Procedentes' (dismissed), 'En Proceso' (pending), and 'Invalidado' (invalid). This analysis will examine the complaint dataset using neutrosophic logic, which extends traditional binary logic by incorporating indeterminacy. We apply Neutrosophic Logic to capture not only resolved and unresolved complaints, but also uncertainty in complaint status. Key findings reveal high median resolution rates (99.98%), yet notable disparities exist: Sierra region companies outperform those in Costa, and private …

Strengthening Reading Comprehension Through Affective Communication And Artificial Intelligence With Validation By Neutrosophic Numbers, Giselle Rodríguez Caballero, Rudy García Cobas, Elsy Rodríguez Revelo, Nidia María Cumbicus Castillo, Piedad Doraliza Cordero Cueva

Neutrosophic Sets and Systems

This investigation explores whether emotional communication empowered by artificial intelligence tools is needed for pedagogical integration for reading comprehension for Third Graders at Santiago Fernández García Educational Unit. Through Teacher interviews, classroom observations and pedagogical assessments, the investigator uncovered methodological insufficiencies that not only hinder the literal aspects of reading comprehension but also interpretative and critical aspects. Teachers hold a fortuitous upper hand regarding these advancements; however, test results show non-sufficient didactic planning geared toward emotional awareness strategy developments through artificial intelligence. Suggested artificial intelligence developments in this area show to be text generators or emotional detectors; however, this is …

A Neutrosophic Random Forest Framework For Uncertainty-Aware Classification Of Nursery School Applications, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Manuel Reyes-Wagnio, Dayron Rumbaut-Rangel, Leonel Vasquez-Cevallos

Neutrosophic Sets and Systems

This paper presents a novel framework that integrates Random Forest classification with neutrosophic logic to address the challenge of uncertainty-aware decision-making in nursery school application processes. Using the publicly available Nursery dataset—which includes socio-familial attributes such as parental occupation, financial standing, and health conditions—the proposed model not only achieves high predictive accuracy (approximately 95%) but also quantifies uncertainty explicitly through neutrosophic sets defined by truth (T), indeterminacy (I), and falsity (F) membership degrees. This approach allows for a nuanced interpretation of classification confidence, distinguishing between clear-cut cases that can be automated and borderline instances requiring human expert review. By enabling …

Automated Ai Validation Of Neutrosophic Plithogenic Hypotheses In Multigrade Literacy Improvement, Isaac Roger Martínez, Débora Lucia Ponce Rivera, Maryuri Yvonne Guale Gómez, Rudy Garcia Cobas, Carlos Roberto Humanante Cabrera

Neutrosophic Sets and Systems

Literacy is acquired in multigrade classrooms in complicated scenarios because of varying literacy competencies and abilities and varied resources and materials. Thus, it's hard to determine if certain teaching interventions work. This is also a growing concern, a timely consideration, because as the institutions try to better the Quality of Education and prevent learning lags for multivariate classrooms are concerned. Yet the literature contains gaps where no direct attempt to stabilize teaching interventions is made despite the findings of many studies generating didactic interventions through the proceedings. Thus, this study fills the gap with an approach based upon hypothesis generation …

Neutrosophic Sets And Systems, Vol. 92, 2025, Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset

Neutrosophic Sets and Systems

No abstract provided.

Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques In Embase For Pediatric Hospital Medicine Fellows, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This didactic EMBASE session for Pediatric Hospital Medicine (PHM) fellows demonstrates how to translate pediatric clinical questions into EMBASE search strategies. It use of keywords and Emtree, proximity and Boolean operators, PV Wizard, device and drug searches, and workflows for organizing results to support clinical decision‑making

The Sexual Assault And Violence Experiences Questionnaire: Community-Developed Items For Gathering Sexual Violence Histories With Displaced Women, Meredith A. Blackwell

Psychology ETDs

Improving measurement of sexual violence has contributed to major policy changes in the United States. However, research on sexual violence largely overlooks those exposed to conflict and displacement: a population especially at risk. Assessment measures often ignore contextual features and use phrasing that is vulnerable to underreporting. This community-based participatory research project collaborated with cultural experts from Mexico/Central America and Afghanistan to develop a preliminary item list for a self-report measure of prior sexual violence. Analysis of focus group data from 30 women revealed a range of sexual violence experiences, and provided critical phrasing used to form an item list …

Empowering Wireless Mesh Uav Networks Through Software-Defined Networking, Hieu Quang

Electrical and Computer Engineering ETDs

Unmanned Aerial Vehicles (UAVs) have been widely deployed in applications such as environmental monitoring, disaster response, and surveillance. Effective coordination between UAVs depends on low-latency inter-UAV communication to exchange state information, decisions, and other critical data. UAV networks are inherently dynamic which necessitates a framework capable of handling scenarios such as traffic re-routing, and resilience to communication failures. To address the challenges of managing dynamic UAV networks, this thesis proposes a dual network approach composed of three main components. First, the Better Approach to Mobile Ad-hoc Networking (BATMAN) protocol is used to enable communication among UAVs. Second, the OpenFlow protocol …

A Bump Hunting Approach To Finding Interpretable Data Pockets, Tushar Ojha

Electrical and Computer Engineering ETDs

This dissertation approaches the problem of extracting simple interpretations from local regions of data. This is sometimes called bump hunting because the local regions of interest have a high concentration of a particular output value. This work develops a bump hunting method for discrete-valued tabular data where each bump is modeled by a rectangular region of the input data space so its rule-based description admits a simple logical interpretation that can inform decisions. This method is designed for labeled data where each input feature has a distinct meaning that may or may not be related to the output, and the …

Fedchae: Federated Learning With Client Clustering And Hybrid Adaptive Engagement, Chaeeun Park

Electrical and Computer Engineering ETDs

As machine learning adoption expands, data privacy concerns have grown significantly. Federated Learning (FL) addresses this challenge by allowing clients to train locally and share only their model parameters with the server. However, conventional FL methods such as FedAvg suffer from high communication overhead, as all clients must participate in every global round.

This paper proposes FedChae (Federated Learning with Client Clustering and Hybrid Adaptive Engagement) to balance communication efficiency and model accuracy. FedChae alternates between Grouping Rounds, where all clients perform clustering, and Conventional Rounds, where one client per cluster updates the model.

Simulations with 100 clients using Multi-class …

How To Talk To A Seahorse: Communication In Transmasculine Gestational Experiences As Told Through Narrative, Emerson Armstrong

Communication ETDs

Transmasculine experiences before, during, and after pregnancy were evaluated using focus groups and autoethnographic research. As transgender people are more likely to experience inequality in healthcare encounters, this project aims to shed light on, and counter sensationalized accounts of male pregnancy, as transmasculine gestational individuals sought normalization in their experiences of pregnancy. Seven focus groups consisted of 90 minute sessions, with a total of 15 participants. Transcripts were analyzed using a trans narrative approach to find a greater understanding about identity construction, challenges, and changes around trans pregnancy. Asking about communities and healthcare experiences worked to create a complete picture …

The Incorporation Of Salivary Diagnostic Testing In Dental Hygiene Program Curriculum; A Pilot Study Using A Self-Reported Questionnaire, Carrie B. Palmer-Hawkins

Dental Hygiene ETDs

This study evaluated the incorporation of salivary diagnostic testing in dental hygiene program curricula. A recruitment email and survey link were sent to a convenience sample of 296 CODA-accredited program directors in the United States. Using a descriptive research approach, the survey gathered quantitative and qualitative data exploring directors’ perspectives on the role of salivary testing in dental hygiene education. Thirty-seven responses were gathered over three weeks, and 34 participants were included in the study, resulting in a response rate of 13%. Thirty-eight percent (n=13) reported incorporating salivary testing into their dental hygiene program curriculum through didactic or clinical coursework. …

From Energy Abundance To Blackouts: Political Explanations For Ecuador’S 2024 Electricity Crisis, Selene V. E. Diaz Martinez

Political Science ETDs

Ecuador’s growing reliance on hydropower has positioned it as a regional leader in renewable energy development. However, recent droughts have exposed the vulnerability of this energy model in the face of climate change. In 2024, widespread blackouts underscored the risks of overdependence on hydroelectricity in the country. The media suggested that the cause of the blackouts was due to an abnormal drought that year. However, climate change alone cannot explain the lack of use of other generation sources to meet demand. suggesting that a review of political choices could provide insight into the sector's failure. This research examines the political …

Kakeya Sets Over The Heisenberg Group, Gabriel Jacob Gress

Mathematics & Statistics ETDs

The Hausdorff dimension of Kakeya sets is an interesting problem where the two-dimensional case can be proven directly, but even obtaining bounds on the higher dimension analogues can require highly technical machinery. The difficulty of the general case has inspired analysts to look at Kakeya sets from non-Euclidean viewpoints.

In this paper, we explore a construction of the Kakeya set in the first Heisenberg group H^1. By utilizing the sub-Riemannian manifold of H^1 we can apply tools in geometric measure theory which at this time cannot be applied in R^3. We restate and provide a detailed proof for a sharp …

On Sharpest Tail Bounds For Functions Of Tail Bounded Random Variables, Stephen Harrison

Mathematics & Statistics ETDs

Consider n real/complex, independent/dependent random variables with respective tail bounds and g a measurable function of the r.v.’s. Consider f the “sharpest” tail bound of g (sharpest in the sense, if f were any less, then for some X1, ..., Xn satisfying the conditions, g(X1, ..., Xn) would not satisfy the tail f). Significant research has been done to approximate f often with high accuracy. These results are often of the form, for g in this family, and tail bounds of Xk in this family, f is bounded by some f′ with high accuracy. However, the question “what would it …

Emulation Of Orbital Dynamics And Control Of Fully Actuated Seven-Axis Prismatic Joint Systems, Bennett Russell

Electrical and Computer Engineering ETDs

This thesis details the system modeling, design, control, simulation, construction, and testing of a fully-actuated seven axis prismatic joint system created for the primary purpose of emulating on-orbit maintenance tasks. Additionally, it seeks to further research of space-based control schemas and investigate stiction as a case study with a mountable hybrid hinge system that emulates stiction. Controllers are evaluated under common limits and metrics, including time to escape, overshoot, mechanical work, and limit-exceedance counts. Comparisons span a PID baseline, deterministic MPC/MPPI, and a probabilistic POMDP policy. Results verify the emulator and hybrid hinge meet the intended design criteria and show …

Dense Temporary Array Investigation Of Jemez Uplift Seismicity, Jillian D. Podmore

Earth and Planetary Sciences ETDs

A protracted multi-stage tectonic and magmatic evolution combined with low regional crustal strain rates make it challenging to characterize active structure that may host earthquakes in the Jemez Mountains of New Mexico. Here, we leverage temporary 1-month deployments of nodal seismometers to gain new insights into seismicity of the Jemez Mountains, which only have continuous seismic monitoring on their eastern flank as a result of the Los Alamos Seismic Network. Our catalog is built using 4 steps: phase picking in continuous seismic data, association of picks to detect unique events, event magnitude estimation, and absolute hypocenter estimation. We detect and …

Seismological Investigations Of Magmatic Systems Using Dense Nodal Arrays, Wenkai Song

Earth and Planetary Sciences ETDs

Understanding the internal architecture of magmatic systems is crucial for volcanology, yet conventional geophysical techniques often lack the resolution to image their fine-scale structures. This dissertation leverages unique datasets from dense nodal arrays to investigate the upper crustal magmatic systems beneath Yellowstone Caldera, Valles Caldera, and Mount St. Helens. At Yellowstone, I processed vibroseis data to delineate the top of the modern magma reservoir and evaluate the thermal connection between the magmatic and the overlying hydrothermal systems. At Valles, 3D radial seismic anisotropy imaging reveals strong positive radial anisotropy within the reservoir, indicating an organized structure of horizontally sill-like melt …

Neurobehavioral Mechanisms Of Psychotic-Like Experiences And Cannabis Use, Ethan Campbell

Psychology ETDs

As cannabis use has increased steadily over the past decade, there is critical need to evaluate early cannabis use as a potential risk factor for the development of psychosis. Neurobehavioral mechanisms underlying novelty salience could clarify how cannabis exposure may influence subclinical psychotic-like experiences (PLEs). The present study leveraged dynamic functional connectivity and task-fMRI to assess the role of novelty processing in cannabis use and PLEs. A group of brain regions dynamically tied to the salience network while viewing short films were found to increase their activation as a function of stimulus novelty during a novelty bandit task. PLEs were …

Non-Destructive Characterization Of Ion Irradiated Yttrium Hydride For Microreactor Applications, Ryan E. Pena

Nuclear Engineering ETDs

As energy demands increase, nuclear reactors, especially microreactors, become a promising energy source. These reactors run at high temperatures (>280°C), requiring moderators that can endure these environments. Yttrium hydride is a possible moderator, but little is known about the material’s phase stability and hydrogen retention under irradiation. Through the use of a gold ion beam, samples with stoichiometries ranging from 1.6 to 2.0 were irradiated and tested. Through Vickers hardness testing, a model was created showing a correlation between hydrogen content and hardness. Raman spectroscopy showed high temperature and irradiated samples have significant hydrogen loss. XRD quantified this hydrogen …