Physical Sciences and Mathematics Commons^™

Applications Of Neutrosophic Soft Open Sets In Decision Making Via Operation App, J. J. Mershia Rabuni, N. Balamani, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Enterprise resource planning (ERP) has a significant impact on modern businesses by enhancing productivity, automation, and streamlining of business processes, even accounting. Manufacturers can assure proper functioning and timely client demand using ERP software. Coordination, procurement control, inventory control, and dispatch of commodities are all features of supply chain management. Manufacturers may design better logistics plans with this capability, which will substantially aid them in lowering operational and administrative expenses. In this article, we instigate the idea of neutrosophic soft γ- open sets (NSγ-open sets) by employing the operation γ on the family of neutrosophic soft open sets written symbolically …

Professor Cai Wen’S Extenics ( A Letter To The Editor-In-Chief), Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

I had the chance and honor to meet Prof. Dr. Cai Wen (1941 - 2021), the founder of Extenics, in the summer of 2012, at the Guangdong University of Technology (GDUT), Institute of Extenics and Innovative Methods, in Guangzhou, P. R. China, where I was invited by Dr. Xingsen Li to do research on Extenics about solving contradictory problems in science.

I have passed a wonderful time in China (17 May – 15 August, 2012) presenting and listening to many scientific presentations on Extenics and their applications in various fields of knowledge, and studying new papers and book provided to …

Neutrosophic Transport And Assignment Issues (Arabic Version), Florentin Smarandache, Maissam Ahmad Jdid

Branch Mathematics and Statistics Faculty and Staff Publications

We all know that problems of transportation and allocation appear frequently in practical life. We need to transfer materials from production centers to consumption centers to secure the areas’ need for the transported material or allocate machines or people to do a specific job at the lowest cost, or in the shortest time. We know that the cost factors Time is one of the most important factors that decision-makers care about because it plays an “important” role in many of the practical and scientific issues that we face in our daily lives, and we need careful study to enable us …

Neutrosophic Transport And Assignment Issues, Florentin Smarandache, Maissam Ahmad Jdid

Branch Mathematics and Statistics Faculty and Staff Publications

We all know that problems of transportation and allocation appear frequently in practical life. We need to transfer materials from production centers to consumption centers to secure the areas’ need for the transported material or allocate machines or people to do a specific job at the lowest cost, or in the shortest time. We know that the cost factors Time is one of the most important factors that decision-makers care about because it plays an “important” role in many of the practical and scientific issues that we face in our daily lives, and we need careful study to enable us …

Development Of Some New Hybrid Structures Of Hypersoft Set With Possibility-Degree Settings, Atiqe Ur Ur Rahman, Florentin Smarandache, Muhammad Saeed, Khuram Ali Khan

Branch Mathematics and Statistics Faculty and Staff Publications

The concept of a hypersoft membership function is introduced in the extension of a soft set known as a hypersoft set, permitting it to handle complicated and uncertain information in a more powerful and flexible manner. Many academics have already become fascinated with this new area of study, leading to the development of a number of hybrid structures. This chapter develops some new hybrid hypersoft set structures by taking into account multiple fuzzy set-like settings and possibility degree-based settings collectively. Additionally, numerical examples are included to clarify the concept of these structures. Researchers can utilize this work to better understand …

Planting Seeds, Cynthia Smith

Goal 4: Intrapersonal Intelligence Narrative

It is easy to become inundated with school, work, and daily life that we forget to practice mindfulness. Mindfulness “is the basic human ability to be fully present, aware of where we are and what we’re doing, and not overly reactive or overwhelmed by what’s going on around us” (Mindful Staff, 2020). The goal of this activity is to demonstrate mindfulness through planting a seed and practicing daily mindfulness as we take care of the seed while it grows. The act of planting a seed requires one to be mindful because this is a delicate process. Cal State Assistant Professor …

Rapid Growth In Late Cretaceous Sea Turtles Reveals Life History Strategies Similar To Extant Leatherbacks, Laura E. Wilson

Geosciences Faculty Publications

Modern sea turtle long bone osteohistology has been surprisingly well-studied, as it is used to understand sea turtle growth and the timing of life history events, thus informing conservation decisions. Previous histologic studies reveal two distinct bone growth patterns in extant sea turtle taxa, with Dermochelys (leatherbacks) growing faster than the cheloniids (all other living sea turtles). Dermochelys also has a unique life history compared to other sea turtles (large size, elevated metabolism, broad biogeographic distribution, etc.) that is likely linked to bone growth strategies. Despite the abundance of data on modern sea turtle bone growth, extinct sea turtle osteohistology …

Integrating Second Moment Of Area With Osteohistology To Identify Limitations In Weight-Bearing Limb Bones, Justin Kramer, Jeffrey Stephens, Mateusz Wosik

Student Research Poster Presentations 2023

No abstract provided.

Functional Comparison Of Full-Length Palladin To Isolated Actin Binding Domain, Sharifah Albraiki, Oluwatosin Ajiboye, Rachel Sargent, Moriah R. Beck

Research, Publications & Creative Work

Palladin is an actin binding protein that is specifically upregulated in metastatic cancer cells but also colocalizes with actin stress fibers in normal cells and is critical for embryonic development as well as wound healing. Of nine isoforms present in humans, only the 90 kDa isoform of palladin, comprising three immunoglobulin (Ig) domains and one proline-rich region, is ubiquitously expressed. Previous work has established that the Ig3 domain of palladin is the minimal binding site for F-actin. In this work, we compare functions of the 90 kDa isoform of palladin to the isolated actin binding domain. To understand the mechanism …

Performance Evaluation Of The Kvm Hypervisor Running On Arm-Based Single-Board Computers, Eric Gamess, Mausam Parajuli, Syed Shah

Research, Publications & Creative Work

Single-Board Computers (SBCs) were initially targeted for education and small projects with low power-processing needs. However, their computational power has increased dramatically in the last few years, and they are now used in more advanced developments. In this paper, a study of the feasibility of using ARM-based SBCs as hypervisors is done. The authors selected the Raspberry Pi 4 Model B and the ODROID-N2+ and assessed them as virtualization servers, when running up to four VMs simultaneously, with the Linux de facto hypervisor (KVM). The tests performed in this work include: reading and writing throughputs in different types of storage …

Flood-Inundation Maps For An 8-Mile Reach Of Papillion Creek Near Offutt Air Force Base, Nebraska, 2022, Kellan R. Strauch, Christopher M. Hobza

United States Geological Survey: Water Reports and Publications

Digital flood-inundation maps for an 8-mile reach of Papillion Creek near Offutt Air Force Base, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Papillion Creek at Fort Crook, Nebr. (station 06610795), and Papillion Creek at Harlan Lewis Road near La Platte, Nebr. (station 06610798). Near-real-time stages at these streamgages may …

Selected Anthropogenic Contaminants In Groundwater, Papio-Missouri River Natural Resources District, Eastern Nebraska, 1992–2020, Brent M. Hall, Cory L. Kavan, Amanda Flynn, Mikaela L. Cherry

United States Geological Survey: Water Reports and Publications

A study in cooperation with the Papio-Missouri River Natural Resources District was completed in 2019 to determine the concentration of contaminants of emerging concern (CEC) in groundwater in the Papio-Missouri River Natural Resources District, eastern Nebraska. Each well was sampled twice (in June and October or November) in 2019, totaling 34 samples. Samples were analyzed for 132 CECs, which include pharmaceutical, steroid hormone, and other organic chemicals. Seven of the 132 CEC analytes were detected in samples collected during this study. The most commonly detected CEC in this study was the antibiotic sulfamethoxazole. Other CECs detected in this study were …

An Integrated Hydrologic Model To Support The Central Platte Natural Resources District Groundwater Management Plan, Central Nebraska, Jonathan (Jp) Traylor, Moussa Guira, Steven M. Petersen

United States Geological Survey: Water Reports and Publications

The groundwater and surface-water supply of the Central Platte Natural Resources District supports a large agricultural economy from the High Plains aquifer and Platte River, respectively. This study provided the Central Platte Natural Resources District with an advanced numerical modeling tool to assist with the update of their Groundwater Management Plan.

An integrated hydrologic model, called the Central Platte Integrated Hydrologic Model, was constructed using the MODFLOW-One-Water Hydrologic Model code with the Newton solver. This code integrates climate, landscape, surface water, and groundwater-flow processes in a fully coupled approach. Model framework included 163 rows; 327 columns; 2,640 feet cell sides; …

Analysis Of Fiber Uv Degradation Through An Environmental Chamber, Davis A. Eames

Undergraduate Research Posters

Environmentally degraded fibers could impact multiple aspects of a fiber comparison, considering that collected weathered fabrics/fibers may express an altered chemical structure and/or colorimetric property compared to their unexposed counterparts. Depending on the amount of degradation the evidence has suffered, it could be challenging for forensic scientists to make conclusions from their comparative analyses. Observations presented in this study were orchestrated to test the possible outcomes that sunlight has on fabric-based materials. Photodegradation of fabrics was investigated through the use of an environmental chamber for a duration of six weeks, which would be equivalent to three months of real-world UV …

A Sociotechnical Systems View Of Computer Self-Efficacy And Usability Determinants Of Technical Readiness, Stefani L. Tucker

Walden Dissertations and Doctoral Studies

The specific research problem was that it is unknown whether computer self-efficacy and usability determine technical readiness in hourly and exempt information technology support employees in the United States. The purpose of this correlational study was to examine the relationship between computer self-efficacy and technical readiness, usability and technical readiness, and computer self-efficacy, usability, and technical readiness in hourly and exempt information technology support employees in the United States. Sociotechnical system theory suggests that every transaction has a human and technical aspect; thus, the theoretical framework. The convenience sample included 136 information technology support employees aged 18-70. The regression results …

Effective Strategies To Sustain Small African American Food Service Businesses Beyond 5 Years, Alvin West

Walden Dissertations and Doctoral Studies

AbstractAfrican American small food service business owners contribute to national and local economies; however, only 45% of them sustain their businesses beyond 5 years. African American small food service business owners are concerned with the lack of effective business strategy implementation, as it is the number one predictor of actual business failure. Grounded in the general systems theory, the purpose of this qualitative multiple case study was to explore strategies African American small food service business owners used to sustain their businesses beyond 5 years. The participants were seven African American small food service business owners in the southeastern United …

Secure Strategies For Internet Of Things Implementation In Warehouse Environments, Oladapo Opegbemi

Walden Dissertations and Doctoral Studies

The internet of things (IoT) in warehouse environments may present security issues and challenges. These issues and challenges may impact information technology (IT) leadership in warehouse environments because a lack of security strategy adoption may lead to increased network breaches. Grounded in the technology acceptance model, the purpose of this quantitative correlational study was to examine the relationship between IT leaderships’ perceived ease-of-use, perceived usefulness of IoT devices, and their intent to adopt security strategies for IoT implementation in warehouse environments. Data were collected from IT leaders in North Texas warehouse environments using a peer-reviewed adoption survey from PsycTESTS.org. The …

Variable Selection Using Lasso And Elastic Net Regression On High Dimensional Genetic Architecture Data Of Maize Flowering Time, Pradip Dhakal

Data Science and Data Mining

Variable selection is one of the key components in the machine learning area. This method reduces the unwanted and redundant predictors in the model, which prevents the overfitting situation. Since the model contains few significant predictors, the model is less likely to learn the trend from the noise. Further, the time to train the model reduces when we have only a few valuable variables.

20 Years Of Change In Tundra Ndvi From Coupled Field And Satellite Observations, F. K. Huemmrich, J. Gamon, P. Campbell, M. Mora, S. Vargas, B. Almanza, C. Tweedie

School of Natural Resources: Faculty Publications

No abstract provided.

Comparative Study Of Generative Models For Text-To-Image Generation, Nazia Siddiqui

Electronic Theses and Dissertations

The development of deep learning algorithms has tremendously helped computer vision applications, image processing methods, Artificial Intelligence, and Natural Language Processing. One such application is image synthesis, which is the creation of new images from text. Recent techniques for text-to-image synthesis offer an intriguing yet straight forward conversion capability from text to image and have become a popular research topic. Synthesis of images from text descriptors has practical and creative applications in computer-aided design, multimodal learning, digital art creation, etc. Non-Fungible Tokens (NFTs) are a form of digital art that is being used as tokens for trading across the globe. …

Online Sexual Predator Detection, Muhammad Khalid

Electronic Theses and Dissertations

Online sexual abuse is a concerning yet severely overlooked vice of modern society. With more children being on the Internet and with the ever-increasing advent of web-applications such as online chatrooms and multiplayer games, preying on vulnerable users has become more accessible for predators. In recent years, there has been work on detecting online sexual predators using Machine Learning and deep learning techniques. Such work has trained on severely imbalanced datasets, and imbalance is handled via manual trimming of over-represented labels. In this work, we propose an approach that first tackles the problem of imbalance and then improves the effectiveness …

Detection And Diagnosis Of Bacterial Pathogens In Blood And Urine Using Laser-Induced Breakdown Spectroscopy, Emma J.M. Blanchette

Electronic Theses and Dissertations

The aim of this thesis is to expand on and improve the existing techniques used for detecting and identifying bacterial pathogens in clinical specimens with laser-induced breakdown spectroscopy (LIBS). Specifically, the existing experimental procedures, including bacterial sample preparation and data acquisition, as well as the data analysis with chemometric algorithms were investigated. Substantial reductions in LIBS background signal were achieved by implementing rigorous cleaning steps and the introduction of the use of ultrapure water. Following this, a database of LIBS spectra was acquired from specimens of E. coli, S. aureus, E. cloacae, M. smegmatis, and P. …

The Characterization Of Riparian Vegetation In Agriculture Drains Impacted By Phragmites Australis And Drain Management: A Southwestern Ontario, Canada Case Study, Ryan Mackenzie Graham

Electronic Theses and Dissertations

Agricultural drainage systems are important components of regional ecosystems and play key roles in ecosystem functioning. Biodiversity is a service provided by drains which is not fully understood in agriculturally dominated areas and is disrupted consistently by drain management, specifically in drains invaded by Phragmites australis. The objective of this thesis was to characterize the contribution of regional vegetational biodiversity provided by drainage systems, across sites representing a gradient of management frequencies. Drains were separated into management categories: Low (managed +5 years ago), Medium (managed every 3-5 years), or High (managed yearly). Plant abundance was measured and biodiversity indices …

Tree-Based Approaches For Predicting Financial Performance, Ahmed Shafeek Abouhassan

Electronic Theses and Dissertations

The lending industry commonly relied on assessing borrowers’ repayment performance to make lending decisions. This is to safeguard their assets and maintain their profitability. With the rise of Artificial Intelligence, lenders resorted to Machine Learning (ML) algorithms to solve this problem.

In this study, the novelty introduced is applying ML’s Tree-based methods to a large dataset and accurately predicting financial repayment performance without using any repayment history, which was utilized in all literature reviewed. Instead, the attributes used were demographics and psychographics of applicants, only. The study’s proprietary US-based dataset comprises an anonymous population whose owner does not wish to …

Changes And Relationships Of Soil Aluminum, Organic Matter, And Hydrogen Ion Concentration With Rye Cover Crop, Arron Wilder

Cal Poly Humboldt theses and projects

Soil acidity is a common agricultural problem worldwide, as approximately 50% of all potentially arable soils are affected by pH limitations. At soil pH 3+) is considered to be the chemical form of aluminum in acid soil that hinders plant growth the most. Potentially, soil organic matter (SOM) can ameliorate the toxic effects of Al³⁺ on plants and microbes by binding with Al³⁺, thus preventing Al³⁺ (and other species of aluminum) from interacting in the rhizosphere. Increasing SOM also increases soil health indicators (i.e., microbial activity, soil water holding capacity, aggregate stability, porosity, etc.) while the …

Carnivore And Ungulate Occurrence In A Fire-Prone Region, Sara J. Moriarty-Graves

Cal Poly Humboldt theses and projects

Increasing fire size and severity in the western United States causes changes to ecosystems, species’ habitat use, and interspecific interactions. Wide-ranging carnivore and ungulate mammalian species and their interactions may be influenced by an increase in fire activity in northern California. Depending on the fire characteristics, ungulates may benefit from burned habitat due to an increase in forage availability, while carnivore species may be differentially impacted, but ultimately driven by bottom-up processes from a shift in prey availability. I used a three-step approach to estimate the single-species occupancy of four large mammal species: mountain lion (Puma concolor), coyote …

Evaluation Of Recent Earthquake Activity Along The Ganos Fault: Mongan Network Test Analysis, Eşref Yalçinkaya, Marco Bohnhoff, Ethem Görgün, Hakan Alp, Stephan Bentz, Ali Pinar, Fatih Alver, Ömer Kiliçarslan, Burçin Didem Tamtaş, Burçak Görgün

Bulletin of the Mineral Research and Exploration

The Monitoring of the Ganos Fault data presents significant opportunities and challenges for earthquake detection, location and magnitude calculations, source mechanism solutions, and discovery of fault zone waves. This study indicates mostly of preliminary data analysis and seismological evaluations. While narrow distance aperture installation has an opportunity to detect microearthquakes, it also causes significant difficulties in determining the source parameters of micro-earthquakes. Extracting microearthquakes from continuous data shows that special strategies need to be used. MONGAN data revealed the presence of many earthquakes with magnitude M<1.0 in the study region. These earthquakes are mostly out of network earthquakes and it is very difficult to obtain reliable solutions due to the insufficient azimuthal distribution of the stations. It is obvious that different network techniques and wave particle motion analyzes are contributed to the location and source parameters. Although the fault zone structure consists of two different lithologies that make significant differences in seismic wave phase arrival times and wave amplitudes, we observe fault zone head waves on both sides along the Ganos fault. Moment tensor analyzes depict that reliable source mechanism solutions can be obtained using a small number of station records.

The Basil Technique: Bias Adaptive Statistical Inference Learning Agents For Learning From Human Feedback, Jonathan Indigo Watson

Theses and Dissertations--Computer Science

We introduce a novel approach for learning behaviors using human-provided feedback that is subject to systematic bias. Our method, known as BASIL, models the feedback signal as a combination of a heuristic evaluation of an action's utility and a probabilistically-drawn bias value, characterized by unknown parameters. We present both the general framework for our technique and specific algorithms for biases drawn from a normal distribution. We evaluate our approach across various environments and tasks, comparing it to interactive and non-interactive machine learning methods, including deep learning techniques, using human trainers and a synthetic oracle with feedback distorted to varying degrees. …

Machine Learning Framework For Real-World Electronic Health Records Regarding Missingness, Interpretability, And Fairness, Jing Lucas Liu

Theses and Dissertations--Computer Science

Machine learning (ML) and deep learning (DL) techniques have shown promising results in healthcare applications using Electronic Health Records (EHRs) data. However, their adoption in real-world healthcare settings is hindered by three major challenges. Firstly, real-world EHR data typically contains numerous missing values. Secondly, traditional ML/DL models are typically considered black-boxes, whereas interpretability is required for real-world healthcare applications. Finally, differences in data distributions may lead to unfairness and performance disparities, particularly in subpopulations.

This dissertation proposes methods to address missing data, interpretability, and fairness issues. The first work proposes an ensemble prediction framework for EHR data with large missing …

Peer-To-Peer Energy Trading In Smart Residential Environment With User Behavioral Modeling, Ashutosh Timilsina

Theses and Dissertations--Computer Science

Electric power systems are transforming from a centralized unidirectional market to a decentralized open market. With this shift, the end-users have the possibility to actively participate in local energy exchanges, with or without the involvement of the main grid. Rapidly reducing prices for Renewable Energy Technologies (RETs), supported by their ease of installation and operation, with the facilitation of Electric Vehicles (EV) and Smart Grid (SG) technologies to make bidirectional flow of energy possible, has contributed to this changing landscape in the distribution side of the traditional power grid.

Trading energy among users in a decentralized fashion has been referred …