Digital Commons Network^™

A Study On Neutrosophic Bitopological Group, Bhimraj Basumatary, Nijwm Wary

Neutrosophic Sets and Systems

No abstract provided.

Introduction To Neutrohypergroups, M. A. Ibrahim, A. A.A. Agboola

Neutrosophic Sets and Systems

No abstract provided.

On Neutronilpotentgroups, Elahe Mohammadzadeh, Akbar Rezaei

Neutrosophic Sets and Systems

No abstract provided.

On New Types Of Weakly Neutrosophic Crisp Continuity, Qays Hatem Imran, Riad K. Al-Hamido, Ali Hussein Mahmood Al-Obaidi

Neutrosophic Sets and Systems

No abstract provided.

Generalized Neutrosophic Topsis To Solve Multi-Criteria Decision-Making Problems, Rana Muhammad Zulqarnain, Xiao Long Xin, Muhammad Saeed, Florentin Smarandache, Nadeem Ahmad

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Triplet M – Banach Spaces, Abdullah Kargın, Azize Dayan, İsmet Yıldız, Adil Kılıç

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Linear Diophantine Equations With Two Variables, Hasan Sankari, Mohammad Abobala

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Optimization Of Industry 4.0 Production Inventory Model, Nivethamartin Martin, M.Kasi Mayan, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Solving Three Conjectures About Neutrosophic Quadruple Vector Spaces, Hasan Sankari, Mohammad Abobala

Neutrosophic Sets and Systems

No abstract provided.

On Neutrosophic Triplet Quasi–Dislocated-B-Metric Space, Anuradha Anuradha, Seema Mehra

Neutrosophic Sets and Systems

No abstract provided.

Sumudu Transform For Solving Second Order Ordinary Differential Equation Under Neutrosophic Initial Conditions, Meghna Parikh, Manoj Sahni

Neutrosophic Sets and Systems

No abstract provided.

Online Assessment Methods For Student-Centered Learning: Active Learning, Collaboration, And Application With Authentic Assessment, Charlotte Nirmalani Gunawardena, Stephanie L. Moore Phd, Linda Barril, Kathiravelu Thabotharan

University Libraries & Learning Sciences Faculty and Staff Publications

Agenda

Introduction
Lani Gunawardena

A Learning and Pedagogical Foundation & Taxonomy for Selecting Assessment Methods
Stephanie Moore

Assessing Collaborative Learning
Lani Gunawardena

Student-Centered Assessment Methodologies at the University of Jaffna
K. Thabotharan

Technologies for Assessment
Linda Barril

Labs & Art Online - Assessing Practicals
Stephanie Moore

Questions & Discussion

Atom Trapping And Its Role On The Nucleation & Growth Of Platinum Nanoparticles, Deepak Kunwar

Chemistry and Chemical Biology ETDs

Diesel oxidation catalysts deactivate due to Pt sintering, a major problem in automotive industries. To make sure they operate effectively throughout the lifetime of the vehicle, automotive industries are putting an excessive amount of Pt. There is a need to develop a catalyst that serves long term performance with minimal use of Pt. Jones et al^.1 demonstrated that ceria traps Pt atoms. His work generated some logical and valid questions such as what is the mechanism for the formation of anomalously large Pt particles? What is the upper limit of Pt metal loading in the form of single atoms …

Radial Basis Densities And The Density Functional-Based Atom-In-Molecule: Designing Charge-Transfer Potentials, Godwin Amo-Kwao

Nanoscience and Microsystems ETDs

Classical potentials that are capable of describing charge transfer and charge polarization in complex systems are of central importance for classical atomistic simulation of biomolecules and materials. Current potentials—regardless of the system—do not generalize well, and, with the exception of highly-specialized empirical potentials tuned for specific systems, cannot describe chemical bond formation and breaking. The charge-transfer embedded atom method (CT-EAM), a formal, DFT-based extension to the original EAM for metals, has been developed to address these issues by modeling charge distortion and charge transfer in interacting systems using pseudoatom building blocks instead of the electron densities of isolated atoms. CT-EAM …

Integrating Deep Learning And Augmented Reality To Enhance Situational Awareness In Firefighting Environments, Manish Bhattarai

Electrical and Computer Engineering ETDs

We present a new four-pronged approach to build firefighter's situational awareness for the first time in the literature. We construct a series of deep learning frameworks built on top of one another to enhance the safety, efficiency, and successful completion of rescue missions conducted by firefighters in emergency first response settings. First, we used a deep Convolutional Neural Network (CNN) system to classify and identify objects of interest from thermal imagery in real-time. Next, we extended this CNN framework for object detection, tracking, segmentation with a Mask RCNN framework, and scene description with a multimodal natural language processing(NLP) framework. Third, …

Exploring Hidden Structure Of The Nearby Universe And The Limits And Capabilities Of Two Neutral Hydrogen Surveys, Monica Sanchez Barrantes

Physics & Astronomy ETDs

We can use the 21 cm neutral hydrogen (HI) emission line to detect galaxies in optically obscured regions, but it is also a faint line that is difficult to detect at higher redshifts. This work presents two HI surveys. The ALFAZOA Survey maps new and predicted large-scale structure across the Galactic plane, and finds a total of 217 completely new galaxies across both of the survey phases. The completeness limits for ALFAZOA Shallow and Deep are presented. Follow-up observations of confused galaxies in ALFAZOA using the VLA determine that confusion in this survey will not cause significant deviations for the …

A Bayesian Network Analysis Of The Human Exposure To Escherichia Coli Bacteria In The Environment, Brandon G. De Flon

Mathematics & Statistics ETDs

Diarrhea is a leading cause of death worldwide because a lack thereof in household sanitization exposes humans to high concentrations of pathogenic Escherichia coli. In 2016, the University of New Mexico’s Nepal Study Center collected cross-sectional survey data using proportional random sampling on three communities in Western Nepal. Structural and parameter learning estimation and approximate inference of Bayesian networks studied diarrheagenic E. coli exposure while incorporating participation in sanitary behaviors, access to sanitary built-in environments, and other human characteristics. Of the reported sickness, hand washing resulted in a 20 percent decrease, water treatment 8 percent, and both 28 percent. Of …

From Wave Propagation To Spin Dynamics: Mathematical And Computational Aspects, Oleksii Beznosov

Mathematics & Statistics ETDs

In this work we concentrate on two separate topics which pose certain numerical challenges. The first topic is the spin dynamics of electrons in high-energy circular accelerators. We introduce a stochastic differential equation framework to study spin depolarization and spin equilibrium. This framework allows the mathematical study of known equations and new equations modelling the spin distribution of an electron bunch. A spin distribution is governed by a so-called Bloch equation, which is a linear Fokker-Planck type PDE, in general posed in six dimensions. We propose three approaches to approximate solutions, using analytical and modern numerical techniques. We also present …

Numerical Simulations Of Nonlinear Waves And Their Stability: Stokes Waves And Nonlinear Schroedinger Equation, Anastassiya Semenova

Mathematics & Statistics ETDs

The present work offers an investigation of dynamics and stability of nonlinear waves in Hamiltonian systems. The first part of the manuscript discusses the classical problem of water waves on the surface of an ideal fluid in 2D. We demonstrate how to construct the Stokes waves, and how to apply a continuation method to find waves in close vicinity to the limiting Stokes wave. We provide new insight into the stability of the Stokes waves by identifying previously inaccessible branches of instability in the equations of motion for the fluid. We provide numerical evidence that pairs of unstable eigenvalues of …

Artificial Intelligence Enabled Distributed Edge Computing For Internet Of Things Applications, Georgios Fragkos

Electrical and Computer Engineering ETDs

Artificial Intelligence (AI) based techniques are typically used to model decision-making in terms of strategies and mechanisms that can conclude to optimal payoffs for a number of interacting entities, often presenting competitive behaviors. In this thesis, an AI-enabled multi-access edge computing (MEC) framework is proposed, supported by computing-equipped Unmanned Aerial Vehicles (UAVs) to facilitate Internet of Things (IoT) applications. Initially, the problem of determining the IoT nodes optimal data offloading strategies to the UAV-mounted MEC servers, while accounting for the IoT nodes’ communication and computation overhead, is formulated based on a game-theoretic model. The existence of at least one Pure …

Understanding Solar Wind Formation By Identifying The Origins Of In Situ Observations, Samantha Wallace

Physics & Astronomy ETDs

Over the past century, significant progress has made on the subjects of two fundamental unresolved questions in Heliophysics, namely 1) how is the solar corona heated to multi-million-degree temperatures, and 2) how is the solar wind formed, from its origin, to its release and acceleration. While the two are in many ways intertwined, this dissertation focuses on the latter. Our current understanding of solar wind formation has developed largely through relating the general origins of the observed solar wind on global spatial scales to the corresponding observed speed at 1 au. However, we are now at a point where long-standing …

Predictors Of Birth Center Sustainability In The United States, Melanie Cabezas Phipps

Nursing ETDs

Pregnant women from all racial and socioeconomic communities deserve safe, personalized, and affordable ways to give birth. To meet all three needs, focus is increasing on birth centers, a midwifery model that provides family-centered care before, during, and after normal pregnancy, labor, and birth. However, many U.S. birth centers face significant obstacles to financial sustainability, particularly in rural areas. A better understanding of the factors that contribute to a birth center’s operational success is needed for practitioners and groups interested in establishing or maintaining a birth center, as well as to inform policymakers seeking to improve health care equity, outcomes, …

Plasmon-Induced Color And Photochemistry, Paul J. Gieri

Nanoscience and Microsystems ETDs

In recent decades, metallic nanostructures have been extensively studied for a variety of applications due to the ability to support surface plasmons. These excitations, which consist of collective resonant oscillations of the conduction electrons, couple strongly to visible light, confining it into subwavelength volumes. In the first part of this work, we study the optical response of metallic nanostructures supported by metallic substrates. We demonstrate that these systems support a charge transfer plasmon mode, whose frequency is primarily determined by the geometry of the contact area between the nanoparticle and the substrate. In the following part, we exploit this knowledge …

Effect Of Membrane Aging And Operating Conditions On The Rejection Of Trace Organics For Potable Reuse, Jose Pedro Hernandez

Civil Engineering ETDs

The aim of this study is to provide a better understanding of the effect that membrane degradation and operating conditions have on the removal of selected organic compounds via reverse osmosis (RO). Originally, the study included laboratory experiments in which ESPA2-LD membranes from Hydranautics were to be chemically damaged and the passage of the suite of trace organics through the membranes was to be evaluated. Unfortunately, the degradation experiments were cut short due to lab closures associated with the COVID-19 pandemic. The study then changed direction to provide insight into the role operating conditions have on the removal of trace …

Intrinsic Curvature For Schemes, Pat Lank

Mathematics & Statistics ETDs

This thesis develops an algebraic analog of psuedo-Riemannian geometry for relative schemes whose cotangent sheaf is finite locally free. It is a generalization of the algebraic differential calculus proposed by Dr. Ernst Kunz in an unpublished manuscript to the non-affine case. These analogs include the psuedo-Riemannian metric, Levi-Civit´a connection, curvature, and various existence theorems.

The Relationships Between Benthic Macroinvertebrate And Local Water Quality And Physical Habitat Characteristics In The Rio Chama, New Mexico, Monika Hobbs

Water Resources Professional Project Reports

Incorporating the process of adaptive management in rivers management can assist with mitigating impacts of altered streamflow and prevent loss of aquatic biodiversity. Streamflow regimes are important drivers of stream ecology and structuring adaptive management around benthic macroinvertebrates could be an efficient means to understand ecological responses to management of streamflow regime. Over the past decade, there has been interest in implementing adaptive management practices to managing stream flow in the Rio Chama below El Vado Dam in northern New Mexico. The goal of this research project is to improve understanding of environmental drivers shape the benthic macroinvertebrate communities in …

Climate Change Vulnerability Assessment Of Navajo Nation Water Resources In The San Juan River Basin, Nm: Utilizing Traditional Navajo Ecological Knowledge, Kirena Elana Yanibaa Tsosie

Water Resources Professional Project Reports

The Navajo Nation consists of 110 chapters, local government subdivisions, organized into five regional agencies. Over half of the Navajo Nation chapters have traditional names in the Navajo language that describe a local water source including springs, washes, rivers, ponds, and reservoirs. Therefore, traditional Navajo names consist of Traditional Navajo Ecological Knowledge (TNEK) and can assist in documenting water sources that can be further assessed for vulnerability and sensitivity to climate change. There are 52 Navajo Nation chapters located in the San Juan River Basin and 28 chapters have water related names. Water sources associated with place names will also …

Measuring Variability Of A Moderate Snowpack Across A Forest Stand Boundary In The Sandia Mountains, Adrian Marziliano

Water Resources Professional Project Reports

Mountain snowpacks provide much of the water resources for the southwestern United States. Due to limited freshwater supply and mounting climate stressors, accurate water budget forecasts have become increasingly important. Many regions, such as the lower-elevation mountains found in central New Mexico, lack valuable snow data that could improve these forecasts. The purpose of this research project is to measure and analyze the variability of a moderate snowpack in this region to better understand the representativeness of snow depth distribution and more accurately estimate snow water equivalence (SWE). A survey site with a 1,200 square meter plot in the eastern …

Soft Subring Theory Under Interval-Valued Neutrosophic Environment, Sudipta Gayen, Florentin Smarandache, Sripati Jha, Manoranjan Kumar Singh, Said Broumi, Ranjan Kumar

Neutrosophic Sets and Systems

No abstract provided.

True-False Set Is A Particular Case Of The Refined Neutrosophic Set, Florentin Smarandache, Said Broumi

Branch Mathematics and Statistics Faculty and Staff Publications

Borzooei, Mohseni Takallo, and Jun recently proposed a new type of set, called True-False Set [1], and they claimed it is a generalization of Neutrosophic Set [2]. We prove that this assertion is untrue. Actually it’s the opposite, the True-False Set is a particular case of the Refined Neutrosophic Set.