Digital Commons Network^™

Soil Fertility Forecasting With Neutrosophic-Based Uncertainty Management, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Dayron Rumbaut-Rangel

Neutrosophic Sets and Systems

This study presents a machine learning framework that combines Random Forest classification with neutrosophic logic to predict soil fertility from 16 physicochemical properties. The model achieves robust classification accuracy (95%) while introducing a novel uncertainty quantification mechanism through neutrosophic truth (T ), indeterminacy (I) and falsity (F ) values derived from prediction probabilities, assigning high-confidence (T = 0.9) to probabilities ≥0.9, indeterminacy (I = 0.3) to borderline cases (0.5≤p

Intellectual Capital And Organizational Climate As Predictors Of Scientific Production In A Peruvian University: An Analysis Based On The Neutrosophic 2-Tuple Linguistic Model And Pls-Sem, Vitelio Asencios Tarazona, Jessica Miluska Ríos Salas, Elizabeth Pacheco Davila, Llesica Soria Ramírez, Liliana Huaranga Rivera, Roberth Lozano Tacuri Toribio, Miriam Esther Campos Llana, Giuliana Sherly Cabello Flores

Neutrosophic Sets and Systems

Scientific production is a key performance indicator in higher education, which has motivated the search for factors that may influence its development. This study aims to analyze the impact of intellectual capital and organizational climate on scientific production at the National Intercultural University of the Amazon in Peru. Partial Least Squares Structural Equation Modeling (PLS-SEM) is used, with a sample consisting of 90 professors. Professors were surveyed using the neutrosophic 2-tuple linguistics model. The neutrosophic 2-tuple linguistic method allows teachers to express their opinions linguistically, which is more appropriate in complex decision-making situations. This method maintains accuracy in aggregations. Furthermore, …

A Neutrosophic Random Forest Approach For Preeclamptic Risk Prediction With Uncertainty Quantification, Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Lorenzo Cevallos-Torres, Leonel Vasquez-Cevallos, Dayron Rumbaut-Rangel

Neutrosophic Sets and Systems

This study presents a novel integration of Random Forest with neutrosophic logic to improve preeclampsia risk prediction while quantifying prediction uncertainty. Using clinical data from 352 patients, the model achieved 72.73% accuracy with high sensitivity (0.898) in identifying control cases, though with lower specificity (0.235) for preeclampsia detection. Key predictors identified were birthweight and hypertension his- tory, aligning with clinical knowledge. The neutrosophic framework successfully categorized predictions into truth (T), indeterminacy (I), and falsity (F) components, revealing that 90% confidence predictions showed T = 0.9 while uncertain cases (0.5 ≤ p < 0.9) demonstrated elevated indeterminacy (I = 0.3). The main contributions include: 1) an interpretable uncertainty quantification method for clinical predictions, 2) validation of key risk factors through feature importance analysis, and 3) a practical framework for identifying cases requiring additional clinical evaluation. This approach demonstrates significant potential for enhancing decision-making in maternal healthcare.

Multivariate Visualization Of The Impact Of Universal Design For Learning On Inclusion And Mathematical Achievement Using The Neutrosophic Biplot Method, Franklin Leónidas Elizondo Avilez, Viviana Josefa Mosquera Yépez, Jimmy Darlin Zambrano Palma, Juana Danesa Mosquera Yépez

Neutrosophic Sets and Systems

This dissertation answers a problem of practice. What is the effect of Universal Design for Learning on equity and achievement in math for at-risk and special needs upper elementary and secondary students in Ecuador? classrooms are more diverse than ever, with variations in learning styles and the expectation of equity in the classroom. Thus, it's critical to address past and present methods of teaching that promote access and participation. While the implementation of Universal Design for Learning is relatively new to the inclusion game, the studies done thus far fail to incorporate a triangulated design that considers complexity, multivariate factors, …

Urban Shadows In Latin America: Detection Of Crime Hotspots Using Multivariate, Geospatial, And Neutrosophic Analytic Hierarchy Process (Nahp) Analytical Techniques, Johnny Pambabay-Calero, Sergio Bauz-Olvera, Oscar Scott-Macías, Pedro Luzuriaga Cedeño, Purificación Galindo-Villardón

Neutrosophic Sets and Systems

In recent years, Guayaquil fell prey to higher levels of organized extortion compared to territorialized criminal organizations over territory, institutional weaknesses, and socio-spatial inequalities. Thus, while extortion emerged as an increasingly specialized crime, there are limited empirical studies to evaluate the crime's spatiotemporal nature or its determinants. Therefore, this study aims to identify and characterize extortion "criminal severity zones" of Guayaquil from 2021-2024, via a novel geostatistical approach, in addition to the Neutrosophic Analytic Hierarchy Process (NAHP). By implementing Exploratory Spatial Data Analysis (ESDA), Kernel Density Estimation (KDE), dimensionality reduction techniques (PCA, MDS, and t-SNE), hierarchical clustering, and Bayesian hierarchical …

Failure To Appear In Procedural Courts In The Ecuadorian Oral System: Analysis Of Its Legal Implications Through Multineutrosophic Modeling, Klever Israel Llerena Villacrés, Alex Santiago Páez Maldonado, Leonardo Mario Falconí Cárdenas

Neutrosophic Sets and Systems

This study intends to analyze the impact of not appearing as a legal consequence of the Ecuadorian oral system; in what way does it violate rights of the parties and the possibility of effective judicial protection? The study was developed through a mixed methodology, bibliographic-documentary design and empirical field study. Ultimately, Multineutrosophic modeling was used to limit uncertainty brought forth by establishing not appearing as a condition with lawyer presence, granted extensions or not, socioeconomic problems, etc., through a triangulation of findings from regulatory sources like the General Organic Code of Procedures (COGEP) and professionalizing interviews with judicial actors. The …

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 …

Faim: Fuzzy‑Neutrosophic Academic Integrity Model For University Students, Elsy Rodriguez Revelo, Lorenzo Cevallos Torres

Neutrosophic Sets and Systems

The FAIM (Fuzzy-Neutrosophic Academic Integrity Model) is a novel approach developed to assess academic integrity among university students under conditions of uncertainty. This model emerged as a response to the challenges posed by the sudden shift from face-to-face to virtual education during the COVID-19 pandemic. This environment saw a notable increase in dishonest academic behavior. FAIM integrates fuzzy logic and neutrosophic reasoning to capture the complexity and indeterminacy of students’ conduct. Key variables associated with academic dishonesty—motivation, justification, and opportunities—were examined across three simulated scenarios. The results validated FAIM’s capacity to differentiate integrity levels within the student population effectively. Unlike …

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 …

Perceptions Of Inclusion In Disability Communication With Plithogenic Fuzzy Soft Sets, Sonia Guerra Iglesias, Andrea Eugenia Pacheco Lemus, Vallardo Villegas-Ricauter, Lorena Del Carmen Bodero Arizaga, Luis Enrique Silva Adriano

Neutrosophic Sets and Systems

This article explores how scientific communication with disability can foster social inclusion through an awareness of the challenge of conveying ambiguous perceptions across fields. This is a timely topic because inclusive communication facilitates equity and subsequent participation in academic and socio-cultural settings by persons with disabilities; however, the existing body of literature does not take an approach that represents an intrinsic indeterminacy of human perceptions. Absent this intrinsic human quality, research results oversimplify abilities and failures to include persons with disabilities. My approach fulfills this gap by using plitogenic fuzzy soft sets, which is a more generalized mathematical construct to …

Multidimensional Analysis Of Student Loyalty Using The Neutrosophic Biplot Method For Retention Strategies In Higher Education, Claudio Ruff, Marcelo Ruiz, Alexis Matheu, Bastián Gutiérrez, Luis Benites, Gerardo Anabalón

Neutrosophic Sets and Systems

Student loyalty in higher education represents a critical challenge for universities, particularly in the context of increasing competition and the need to ensure long-term retention. A key question arises: how can student loyalty be modeled when it is shaped by diverse and subjective perceptions? The relevance of this issue lies in its impact on institutional stability: when students withdraw before completing their programs, universities not only lose projected revenue but also face disruptions that may negatively influence academic rankings. Previous literature has explored drivers of satisfaction and determinants of loyalty; however, little attention has been given to approaches that explicitly …

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

Neutrosophic Sets and Systems

No abstract provided.

Puf-Based Digital Money With Propagation-Of-Provenance And Offline Transfers Between Two Parties, Benjamin Bean, Cyrus Minwalla, Eirini Eleni Tsiropoulou, Jim Plusquellic

Electrical and Computer Engineering ETDs

Building on prior concepts of electronic money (eCash), we introduce a digital currency where a physical unclonable function (PUF) engenders devices with the twin properties of being verifiably enrolled as a member of a legitimate set of eCash devices and possessing of a hardware-based root-of-trust. A hardware-obfuscated secure enclave (HOSE) is proposed as a means of enabling a PUF-based propagation-of-provenance (POP) mechanism, which allows eCash tokens (eCt) to be securely signed and validated by recipients without incurring any third party dependencies at transfer time. The POP scheme establishes a chain of custody starting with token creation, extending through multiple bilateral …

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

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 …

Stress During Adolescence: A Characterization Of Anxiety-Like Behavior, And The Mrna Expression Of Neuroimmune Factors, Clock And Stress Genes In Corticolimbic Areas., Annette Fernandez Oropeza, Annette K. Fernandez Oropeza

Biomedical Sciences ETDs

Adolescence represents a critical window of frontal cortex (FC) maturation and corticolimbic circuit refinement that supports stress and emotion regulation. Disruption of these processes by early-life insults such as prenatal alcohol exposure (PAE) or adolescent stress increases vulnerability to anxiety and mood disorders, in part through circadian–immune dysregulation. The circadian transcription factor Bmal1 and the proinflammatory cytokine tumor necrosis factor-alpha (TNFα) have emerged as key regulators of neuroimmune signaling and synaptic communication, yet their interactions across developmental risk contexts remain poorly understood. This dissertation examined the effects of mild adolescent isolation stress, with and without PAE, on anxiety-like behaviors and …

Thermally Stable And Regenerable Catalysts For Alkane Dehydrogenation, Ryan Alcala

Chemical and Biological Engineering ETDs

Shale gas upgrading reactions have gained much interest since production dramatically increased around 2010. These reactions occur at high temperatures (600°C +) where undesired processes like sintering and/or coking often occur. It is of interest to use materials like ceria as a catalyst support in these alkane conversion reactions, but ceria is prone to losing active surface area through sintering. It is also of interest to understand the behavior of PtMn and PtZn intermetallics for propane dehydrogenation as they have been identified as some of the best catalysts by theory-based prediction in literature. This manuscript explores ways of utilizing ceria’s …

Patient-Derived Ovarian Cancer Models Provide Insight Into Cancer Cell-Intrinsic And Immune Cell-Dependent Effects On Therapeutic Response, Parisa Nikeghbal

Biomedical Sciences ETDs

Ovarian cancer is the most lethal gynecologic malignancy, largely due to late diagnosis and resistance to chemotherapy. This dissertation applies patient-derived organoids (PDOs), xenograft-derived organoids (PDXOs), and humanized xenografts (huPDX) to investigate therapeutic responses and immune interactions. Organoids were shown to retain critical features of the original malignancy. Across platinum-sensitive, -resistant, and -refractory cases, both PDOs and PDXOs exhibited drug sensitivities that aligned with patients’ clinical classifications. Building on this foundation, a drug screen revealed novel strategies. Auranofin restored platinum sensitivity in Notch3-active models, afatinib broadly reduced viability, and adavosertib–gemcitabine and sorafenib–topotecan combinations produced synergy. Extending this work, immune interactions …

Recreating Fiber Recruitment With Fiber Recruitment Using Additive Manufacturing, Natalia D. Mciver

Biomedical Engineering ETDs

Injured ligaments are often repaired with tendon grafts which may over or under constrain the joint; there is a need for an artificial graft option with the mechanical properties of a native ligament. Crimped fibers within ligaments allow for recruitment which means the viscoelastic properties of stress relaxation and creep are not inversely related. A feasibility study using ACLs and large-scale crimp models to study viscoelasticity, led to an in-depth analysis of the scapholunate interosseous ligament. Using the Modified Kelvin spring-dashpot model, for describing viscoelasticity with a variable stiffness property (time dependent fiber recruitment), we defined the relationship between creep …

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 …

Can Web-Based International Standardized Tests Be More Inclusive? A Udl Mixed-Methods Study Of Accented Tasks, Abdelbaset Haridy

Language, Literacy, and Sociocultural Studies ETDs

This dissertation explores the critical, yet understudied, issue of using a variety of accents/dialects within standardized listening assessments. The current study argues for a paradigm shift from dominant accent to the use of a variety of accents in foreign language testing and assessment. The shift is guided by the principles of Universal Design for Learning (UDL), World Englishes, and Intercultural Communication Theory. Following a mixed-methods design, the study compares student perceptions (N=202) and experts’ (N=64) opinions across two distinct linguistic contexts: English and Arabic. College student participants rated listening samples across nine parameters, including Fluency, Accuracy, Comprehensibility, Intelligibility, and Approachability. …

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 …

Design And Evaluation Of The Influence Of Mutual Induction On Microbial Electrolysis Cell Performance And Biogas Production, Ashley L. Blackwell

Civil Engineering ETDs

Microbial electrolysis cells (MECs) present a pathway for energy recovery in wastewater treatment by converting organic substrates into methane or hydrogen. Traditional MEC designs typically rely on physical electrode contacts and expensive materials, which restrict their scalability. This study introduces the first induction-based MEC that uses mutual inductance between an external copper wrap and an internal coil to generate a fluctuating electrical potential, removing the need for expensive electrodes. The induction-stimulated reactor showed faster total organic carbon removal and a higher CH4/CO2 ratio compared to a conventional anaerobic digester, indicating improved carbon-to-methane conversion, although total gas yield remained similar. Microbial …

Graph Based Planning With Guarantees, Trazon Tyrik Jimerson

Mechanical Engineering ETDs

This thesis presents two graph-based methods with formal guarantees for motion planning and routing. First, the invariant-set motion planner (ISMP), which uses constraint admissible positive invariant (CAPI) sets of closed-loop dynamics, is adapted for spacecraft attitude planning to avoid moving keep-out zones. Contributions include time bounds for maneuvers via exponential stability, a single-stage reachability graph from one-step backward reachable CAPI sets, and its multi-stage expansion to certify node safety over time. Simulations verify safe attitude control with moving obstacles. Second, we formulate a convex optimization problem over a network for evacuation planning with operational constraints such as helicopter capacity and …

Simulation Of Stress Induced By Laser Heating Of Glass, Austin Marsh Schuberth

Mechanical Engineering ETDs

The purpose of this work is to create a method for accurately simulating the stresses due to heating from femtosecond laser pulses. Our work aims to calculate stress and strain in glass exposed to laser pulses used for laser welding. We simulate the effects of thermal heating, thermal expansion, and the viscoelasticity of glass for a single straight weld bead. The laser heating of K9 borosilicate glass was simulated using Finite Element Analysis (FEA). Thermal models developed by other researchers in earlier work were utilized in calculating the temperatures due to the laser exposure to the glass material. 2D simulations …

Real-Time Frequency Tuning Of Kinetic Energy Harvesters Via System Mass Adjustment, Rahul Adhikari

Mechanical Engineering ETDs

This research presents a method for real-time frequency tuning of piezoelectric kinetic energy harvesters through system-mass adjustment. Custom 3D-printed proof masses with cavity arrays were used to redistribute solid or liquid mass, enabling controlled modification of resonant frequency. Experimental studies using microparticles and liquids—including water, silicone oil, and sodium polytungstate—demonstrated an achievable tuning range of 115.27 Hz with sub-hertz resolution (< 0.1 Hz), confirming precise and repeatable frequency control. Finite-element modeling guided design optimization, while a microfluidic channel system enabled automated liquid filling for real-time operation. A MATLAB-based EH_Tuning application was developed to visualize and predict frequency responses. The combined …

Design And Development Of Evacuated Photovoltaic-Thermal Systems For Efficient Cogeneration Of Heat And Electricity, Behnam Roshanzadeh

Mechanical Engineering ETDs

In conventional PV systems, most of the solar energy is dissipated into the environment as heat. Accordingly, hybrid Photovoltaic-thermal systems have been developed to utilize the waste heat from PV cells for various thermal applications. However, most PVT systems suffer from low thermal performance compared to solar thermal collectors, as the absorber plate in PVT systems is partially or fully covered by PV cells. This dissertation focuses on improving the thermal performance of PVT systems by introducing the evacuated PVT systems.

An evacuated-tube PVT system was designed and simulated for domestic hot water supply. The evacuated-tube PVT system demonstrated 40% …

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 …

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. …