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Best Proximity Point Results In Neutrosophic Fuzzy Metric Space For Ciric Type Α-Ψ Proximal Contractive Mappings, Samriddhi Ghosh, Ramakant Bhardwaj, Purvee Bhardwaj, Sneha Khandait, Satyendra Narayan

Neutrosophic Sets and Systems

No abstract provided.

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New Classes Of Δ − Β∗-Continuous Mappings In M-Polar Neutrosophic Topological Spaces, Shadia M. Noori, Asmaa G. Raoof, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo, Lorenzo Aff´E

Neutrosophic Sets and Systems

No abstract provided.

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P-Spaces, Weak P-Spaces And Almost P-Spaces On Fuzzy Neutrosophic Topological Spaces, Poongothai Eswaran, Balaganesan Palanivelu

Neutrosophic Sets and Systems

No abstract provided.

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Δβ-Open Sets In Pythagorean Neutrosophic Nano Topological Spaces And Their Application Via Machine Learning, Mohanarao Navuluri, Shantha Lakshmi K

Neutrosophic Sets and Systems

No abstract provided.

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Novel Similarity Technique Of Neutrosophic Sets And Application In Higher Education Context, Duong.T.T Duong, Huynh.T Uyen, Duong.T. Dam, Nguyen Dinh Huy

Neutrosophic Sets and Systems

No abstract provided.

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Application Of New Neutrosophic Open Set Via Neutrosophic Topological Spaces, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo

Neutrosophic Sets and Systems

No abstract provided.

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Neutrosophication As A General Framework For Regret Theory, Grey System Theory, And Three-Way Decision Models, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

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Neutrosophic Logic As A Framework For Managing Uncertainty In Artificial Intelligence, Conf. Univ. Dr. N. Grigorie Lăcrița, Craiova Craiova, Romania Romania

Neutrosophic Sets and Systems

No abstract provided.

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On Operations Of Indetermsoft Sets, Savita Rathee, Diksha Goyal, Meenakshi Hooda, Ridam Girdhar, Savita Ahlawat

Neutrosophic Sets and Systems

No abstract provided.

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Applied Neutrosophic Triplets In Ai Decision Systems: Introduction To An Ongoing Case Study Across Agentic, Swarm, Rag, And Pipeline Architectures, Jean-Sebastien Beaulieu

Neutrosophic Sets and Systems

No abstract provided.

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Foundations Of Type-1 Neutrosophic Topological Modules, Hussain Wahish, Adel Al-Odhari, Abdulwahed Mhdi, Basheer Al-Refaei, Khaled Alhamadi

Neutrosophic Sets and Systems

No abstract provided.

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Neutrosophic Sets And Systems, Vol. 99,2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

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Millimeter-Wave Antenna Gain Enhancement Through Stacked Planar Substrates, Zachary Bergstedt

Electrical and Computer Engineering ETDs

This work presents a new wideband millimeter-wave (mmWave) and sub-terahertz antenna design with flexible directivity through the integration of stepped horn antennas and transverse substrate integrated waveguide (SIW) slots for radar and communication applications. The work gives a theoretical and analytical basis for this filter-inspired approach to improving bandwidth and directivity, and presents design and results for a standalone stepped horn, a Ka-band antenna with a solid stepped horn and SIW feed, and W-band antennas with empty SIW feeds and stepped horns manufactured out of multiple planar layers. The realized antennas show bandwidth up to 40% and gain up to …

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Calibration Methodology, Diagnostic Performance, And Redesign Of The Current Monitors On The Z Machine At Sandia National Laboratories, Stacie Hernandez

Electrical and Computer Engineering ETDs

A proper evaluation of the current diagnostics fielded in the inner-MITL region of the Z facility in 3D simulation models had not been performed until now. The evaluation of the current monitors has brought insight to their performance in a new view that has led to discoveries. The B-dot probe was the current diagnostic-of-choice since before the refurbishment of the Z facility [1] and until the development of the Inductively Driven Transmission Line (IDTL) current diagnostic [2]. Experimental data has shown that the IDTL can produce cleaner signals and it is more robust than conventional B-dots. Simulation (modeled using COMSOL …

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Hierarchical Safe Reinforcement-Learning Framework For Mission-Aware, Edge-Enabled Multi-Uav Iot Networks, Abee F. Alazzwi

Electrical and Computer Engineering ETDs

This Ph.D. dissertation presents a unified Hierarchical Safe Reinforcement Learning (HSRL) framework for mission-aware, edge-enabled multi-UAV Internet of Things (IoT) networks. The work addresses the need for autonomous aerial infrastructures capable of delivering low-latency communication, scalable edge computation, and provably safe operation in dynamic environments. The dissertation develops three primary contributions. First, it formulates longhorizon drone base station placement and load balancing as a strategic actor–critic learning problem, enabling proactive adaptation to spatiotemporal demand variations. Second, it introduces a mission-aware multi-agent reinforcement learning controller for coordinated mobility, sensing, and computation offloading under latency and energy constraints. Third, it integrates a …

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Optical Nuclear Spin Detection In Diamond And Varifocal Metasurface Optics, Maxwell D. Aiello

Physics & Astronomy ETDs

This dissertation presents two experimental investigations at the intersection of quantum sensing and precision optical instrumentation. The primary project demonstrates optically detected nuclear magnetic resonance (NMR) of ¹³C nuclear spins in diamond, using state-selective Landau-Zener transitions under microwave frequency sweeping to bidirectionally transfer spin polarization between nitrogen-vacancy (NV) electron spins and remote ¹³C nuclear spins. This enables optical polarization and readout of large ensembles of polarized nuclear spins at low magnetic fields and room temperature, with spin dephasing times limited by longitudinal relaxation of nearby NV electron spins. The secondary project reports the design, fabrication, and characterization of …

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Dental Hygienists' Views On Salivary Diagnostics, Julie Justice

Dental Hygiene ETDs

This study assessed dental hygienists’ views on salivary diagnostic testing in the United States, including awareness, utilization, perceived barriers, and whether years of experience, clinical setting, or education level influenced these views. A descriptive cross-sectional design was used to collect data via an 18-item email survey distributed through the American Dental Hygienists’ Association’s mailing list. Eligible participants were licensed dental hygienists currently practicing in the United States. The survey included demographic items and Likert-scale questions on knowledge, clinical use, perceived value, and limitations of salivary diagnostic testing. Survey responses were analyzed using descriptive statistics, frequency distributions and Spearman correlations. Despite …

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Evaluation Of Intracavity Electromagnetic Field Probes And Sources: Implications For Shielding Effectiveness, Joseph Anthony Ferreri

Electrical and Computer Engineering ETDs

To measure the electric field in a reverberant cavity, a small, minimally invasive probe is required. Common solutions include electrically small surface mounted monopole antennas, B-dots, and D-dots. To obtain an accurate field measurement with a particular probe, it is necessary to characterize it to compensate for its ability to convert electric field into voltage which requires a gauge factor known as effective height. The characterization process is straight forward in open space on a ground plane but requires more insight when in situ in a reverberant cavity. This work adapts ground plane probe characterization methods for cavity measurements, facilitating …

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Quantifying Co2 And Ch4 Fluxes In A Semi-Arid Floodplain: Assessing Spatial And Temporal Drivers, Miles E. Kelsey

Earth and Planetary Sciences ETDs

Rivers transport sediment and carbon across Earth’s surface, and their floodplains can store carbon over decades to millennia, making them important to terrestrial carbon management. While soil carbon can persist long term, it may be released as greenhouse gases through processes like methanogenesis and heterotrophic respiration. Environmental controls on these fluxes remain poorly constrained across floodplains in different climate and geomorphic setting, but especially in semi-arid systems where measurements are limited. To address this gap, we quantified CO₂ and CH₄ fluxes along the Middle Rio Grande (New Mexico, USA) using 227 chamber measurements collected May to November 2025 at three …

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Statistical And Spectral Theory For Spatially Correlated Random Aperiodic Antenna Arrays, Thomas Edward Christian Jr

Electrical and Computer Engineering ETDs

Aperiodic phased arrays enable beam steering, interference suppression, and spectrum efficiency for 6G, radar, biomedical imaging, and distributed sensing. Minimum inter-element spacing and keep out zones induce spatial correlation, violating the i.i.d. element-position assumption behind classical probabilistic random array theory. This dissertation develops a unified probabilistic spectral framework for correlated (non-i.i.d.) arrays. Second moment power pattern analysis incorporates the pair-correlation function and structure factor , recovering the i.i.d. limit when and accommodating unequal excitations. Side lobe and main lobe fields deviate from Rayleigh/Exponential and are modeled by weighted Nakagami and Gamma-mixture distributions, parameterized via Monte Carlo. The blue noise spectral …

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Torá: A Description Of A Dormant Chapacuran Language From Legacy Materials, Akasha Synclair

Linguistics ETDs

Torá, an Amazonian language of the Chapacuran family, went dormant as the Torá people survived colonization. Yet, in the early 1920’s, over 600 Torá words, phrases, and sentences were documented. Despite interest by today’s Torá community in language revitalization, no comprehensive analysis of the data has been undertaken. This project used methods of linguistic reconstitution, cross linguistic comparison, and the creation of an open-access database to produce a phonological and morphosyntactic analysis of Torá. Phonological findings of particular interest include evidence for vowel harmony and variable oralization of nasals. In structure, Torá is very similar to related languages, displaying a …

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Technical Advancements In Single-Molecule Spectroscopy For High-Throughput Measurement Of Long-Time Dynamics, Quyen B. Le

Chemical and Biological Engineering ETDs

Single-molecule fluorescence spectroscopy is a powerful technique for resolving transient biomolecular dynamics and quantifying free energy landscapes, kinetics, and binding interactions. However, two fundamental limitations restrict its broader application: slow, labor-intensive data acquisition and the limited observation time imposed by fluorophore photobleaching. These limitations hinder its use in drug discovery and biomedical engineering applications that require both high-throughput and access to long-time dynamics. In this work, both challenges are addressed through technical advancements. First, a simple, generalizable approach is introduced to automate data acquisition, eliminating manual intervention during experiments. This increases the acquisition rate by more than an order of …

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Nuclear Deterrence: Enhancing The Mission Through Smart Factory Predictive Solutions, Jarrod Matthew Ronquillo

Chemical and Biological Engineering ETDs

To meet the stewardship and modernization initiatives set by the Department of Energy new technologies must enter the manufacturing facilities within the nuclear deterrent complex. Predictive solutions begin with collecting data. An equipment health monitoring device was created to streamline data collection and organization for equipment and processes. A predictive and process performance dashboard was developed for a deionized water system. The dashboard used Western Electric statistical process rules and a machine learning regression algorithm to predict when the resistivity would fall out of specification. Lastly, a remaining useful life calculation was developed for all equipment related to nuclear deterrent …

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Helium Effects In High Entropy Alloys For Fusion Reactor Plasma Facing Components, Shane Evans

Nuclear Engineering ETDs

The plasma facing materials (PFMs) within fusion reactors, such as the divertor, must be able to withstand high temperature (>1000 K) for extended durations of time, in addition to extreme flux from neutrons, helium (He) ash, and neutral species such as deuterium and tritium. These materials must withstand these conditions while maintaining their selected mechanical properties, minimal sputter yield, and low fuel retention. In recent years refractory high entropy alloys (RHEAs) have been investigated due to their improved mechanical and irradiation-resistant properties when compared to pure W, the current material for PFMs. In this work RHEAs have undergone fusion …

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Cfd Simulation Analyses Of The Blowdown Phase Of A Depressurized Loss Of Forced Cooling Accident In A Htgr, Keenan Kresl-Hotz

Nuclear Engineering ETDs

This research numerically investigates the helium-air mixing in HTGR containment cavities during the blowdown phase of a simulated DLOFC accident. The results of the performed CFD simulation analyses, using the commercial code STAR-CCM+, are compared with reported measurements from an experiment conducted at CCNY. The analyses investigate the effects of the RANS and LES turbulence models, numerical mesh refinement, time-step size, and flow rate and temperature of the injected hot helium into the scaled reactor cavity. Calculated parameters analyzed include the pressure and spatial distributions of temperature and oxygen concentration in the simulated reactor and steam generator cavities. CFD oxygen …

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In-Situ Measurement Of Dynamic Deuterium Retention In Tungsten-Based Alloys Under Plasma Exposure, Ethan Gabriel Rashap

Nuclear Engineering ETDs

Nuclear fusion is a promising pathway for sustainable energy production, but the performance of plasma-facing materials remains a key challenge for reactor operation. In particular, hydrogen isotope retention in tungsten—the leading candidate material for divertor components—affects tritium inventory, fuel recycling, and overall material lifetime. In this work, the temperature-dependent deuterium retention behavior of W–Ti and W–TiTa alloys was experimentally investigated under fusion-relevant ion irradiation conditions between 400 and 700 K. In-situ nuclear reaction analysis (NRA) was used to track retention during plasma exposure and subsequent cooldown, providing depth-resolved insight into deuterium accumulation and release. The results show that deuterium retention …

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Novel Algorithmic Methods For Random Telegraph Noise Detection And Characterization In Electronic Devices, Victor Darie Pepel

Electrical and Computer Engineering ETDs

Random telegraph noise (RTN) produces discrete stochastic fluctuations in nanoscale semiconductor devices and increasingly limits performance and reliability as dimensions scale. This dissertation introduces three algorithmic contributions enabling automated and accurate RTN characterization across diverse devices and operating conditions. First, a computationally efficient histogram-based detection algorithm enables rapid identification of RTN in large focal plane array datasets for statistically robust defect analysis. Second, a frequency decomposition framework separates slow and fast RTN components, extending the range of extractable time constants and reducing estimation error in multi-trap signals obscured by background noise. Third, to address the lack of standardized RTN metrics, …

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Applications And Comparisons Of Machine Learning Methods In Ultra-Fast Laser Control, Aasma Aslam

Electrical and Computer Engineering ETDs

This dissertation demonstrates the applications and comparative analyses of machine learning methods in ultrafast laser control. By learning the relationship between the system’s input parameters and output pulse characteristics, the performance of a laser can be significantly improved. In this work, the results are presented in two stages by utilizing data from the femtosecond laser system. The first stage concerns two neural networks, named NN1 (fitrnet) and NN2 (feedforwardnet). The second stage, which extended with five different models, namely the linear regression (fitlm), the support vector machine (SVM), the Gaussian process regression (GPR), the boosted tree (fitrensemble), and LASSO (fitrlinear), …

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Agricultural Water Management, Farmer Decision-Making And Climate Adaptation In Dryland Agriculture: A Case Of The Middle Rio Grande Basin, Oluwatosin A. Olofinsao

Economics ETDs

Agriculture in dryland regions faces mounting pressure from climate change, water scarcity, and shifting land-use demands. The Middle Rio Grande Basin (MRGB) of central New Mexico exemplifies these challenges, where irrigated agriculture relies on increasingly variable surface water supplies. This dissertation examines agricultural water use, farmer decision-making, and adaptation strategies across farm types and climate conditions in the MRGB. The first study presents a spatial descriptive analysis of farm size, crop patterns, groundwater access, evapotranspiration (ET), and effective ET, revealing a landscape numerically dominated by smallholder farms that account for a substantial share of irrigation water use. The second study …

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Self-Supervised Spoofing Detection, David S. Choi

Electrical and Computer Engineering ETDs

Global Navigation Satellite Systems (GNSS) are vulnerable to spoofing attacks that can mislead receivers with counterfeit signals. Traditional detection techniques, such as antenna-based, encryption based, and signal processing approaches, often face limitations in adaptability, computational cost, or reliance on predefined thresholds. Supervised machine learning models, while powerful, require large labeled datasets and struggle to generalize to unseen spoofing scenarios. In this work, we propose a self-supervised spoofing detection framework based on Adaptive Sparse Gaussian Processes (ASGP). The method predicts incoming GNSS features using past observations and identifies spoofing as anomalous deviations in the prediction residuals. Unlike supervised approaches, ASGP adapts …

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Full-Text Articles in Entire DC Network

Best Proximity Point Results In Neutrosophic Fuzzy Metric Space For Ciric Type Α-Ψ Proximal Contractive Mappings, Samriddhi Ghosh, Ramakant Bhardwaj, Purvee Bhardwaj, Sneha Khandait, Satyendra Narayan

Neutrosophic Sets and Systems

New Classes Of Δ − Β∗-Continuous Mappings In M-Polar Neutrosophic Topological Spaces, Shadia M. Noori, Asmaa G. Raoof, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo, Lorenzo Aff´E

Neutrosophic Sets and Systems

P-Spaces, Weak P-Spaces And Almost P-Spaces On Fuzzy Neutrosophic Topological Spaces, Poongothai Eswaran, Balaganesan Palanivelu

Neutrosophic Sets and Systems

Δβ-Open Sets In Pythagorean Neutrosophic Nano Topological Spaces And Their Application Via Machine Learning, Mohanarao Navuluri, Shantha Lakshmi K

Neutrosophic Sets and Systems

Novel Similarity Technique Of Neutrosophic Sets And Application In Higher Education Context, Duong.T.T Duong, Huynh.T Uyen, Duong.T. Dam, Nguyen Dinh Huy

Neutrosophic Sets and Systems

Application Of New Neutrosophic Open Set Via Neutrosophic Topological Spaces, S.R. Yaseen, Qays Hatem Imran, Giorgio Nordo

Neutrosophic Sets and Systems

Neutrosophication As A General Framework For Regret Theory, Grey System Theory, And Three-Way Decision Models, Florentin Smarandache

Neutrosophic Sets and Systems

Neutrosophic Logic As A Framework For Managing Uncertainty In Artificial Intelligence, Conf. Univ. Dr. N. Grigorie Lăcrița, Craiova Craiova, Romania Romania

Neutrosophic Sets and Systems

On Operations Of Indetermsoft Sets, Savita Rathee, Diksha Goyal, Meenakshi Hooda, Ridam Girdhar, Savita Ahlawat

Neutrosophic Sets and Systems

Applied Neutrosophic Triplets In Ai Decision Systems: Introduction To An Ongoing Case Study Across Agentic, Swarm, Rag, And Pipeline Architectures, Jean-Sebastien Beaulieu

Neutrosophic Sets and Systems

Foundations Of Type-1 Neutrosophic Topological Modules, Hussain Wahish, Adel Al-Odhari, Abdulwahed Mhdi, Basheer Al-Refaei, Khaled Alhamadi

Neutrosophic Sets and Systems

Neutrosophic Sets And Systems, Vol. 99,2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

Millimeter-Wave Antenna Gain Enhancement Through Stacked Planar Substrates, Zachary Bergstedt

Electrical and Computer Engineering ETDs

Calibration Methodology, Diagnostic Performance, And Redesign Of The Current Monitors On The Z Machine At Sandia National Laboratories, Stacie Hernandez

Electrical and Computer Engineering ETDs

Hierarchical Safe Reinforcement-Learning Framework For Mission-Aware, Edge-Enabled Multi-Uav Iot Networks, Abee F. Alazzwi

Electrical and Computer Engineering ETDs

Optical Nuclear Spin Detection In Diamond And Varifocal Metasurface Optics, Maxwell D. Aiello

Physics & Astronomy ETDs

Dental Hygienists' Views On Salivary Diagnostics, Julie Justice

Dental Hygiene ETDs

Evaluation Of Intracavity Electromagnetic Field Probes And Sources: Implications For Shielding Effectiveness, Joseph Anthony Ferreri

Electrical and Computer Engineering ETDs

Quantifying Co2 And Ch4 Fluxes In A Semi-Arid Floodplain: Assessing Spatial And Temporal Drivers, Miles E. Kelsey

Earth and Planetary Sciences ETDs

Statistical And Spectral Theory For Spatially Correlated Random Aperiodic Antenna Arrays, Thomas Edward Christian Jr

Electrical and Computer Engineering ETDs

Torá: A Description Of A Dormant Chapacuran Language From Legacy Materials, Akasha Synclair

Linguistics ETDs

Technical Advancements In Single-Molecule Spectroscopy For High-Throughput Measurement Of Long-Time Dynamics, Quyen B. Le

Chemical and Biological Engineering ETDs

Nuclear Deterrence: Enhancing The Mission Through Smart Factory Predictive Solutions, Jarrod Matthew Ronquillo

Chemical and Biological Engineering ETDs

Helium Effects In High Entropy Alloys For Fusion Reactor Plasma Facing Components, Shane Evans

Nuclear Engineering ETDs

Cfd Simulation Analyses Of The Blowdown Phase Of A Depressurized Loss Of Forced Cooling Accident In A Htgr, Keenan Kresl-Hotz

Nuclear Engineering ETDs

In-Situ Measurement Of Dynamic Deuterium Retention In Tungsten-Based Alloys Under Plasma Exposure, Ethan Gabriel Rashap

Nuclear Engineering ETDs

Novel Algorithmic Methods For Random Telegraph Noise Detection And Characterization In Electronic Devices, Victor Darie Pepel

Electrical and Computer Engineering ETDs

Applications And Comparisons Of Machine Learning Methods In Ultra-Fast Laser Control, Aasma Aslam

Electrical and Computer Engineering ETDs

Agricultural Water Management, Farmer Decision-Making And Climate Adaptation In Dryland Agriculture: A Case Of The Middle Rio Grande Basin, Oluwatosin A. Olofinsao

Economics ETDs

Self-Supervised Spoofing Detection, David S. Choi

Electrical and Computer Engineering ETDs