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Articles 8491 - 8520 of 713665
Full-Text Articles in Entire DC Network
April 24, 2026 Minutes, Swosu Faculty Senate
April 24, 2026 Minutes, Swosu Faculty Senate
Faculty Senate Minutes
No abstract provided.
Draft Uniform Federal Policyquality Assurance Project Plan Addendum, Hydrogeologic, Inc.
Draft Uniform Federal Policyquality Assurance Project Plan Addendum, Hydrogeologic, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Expanding Nbcot® Exam Readiness Resources In An Entry-Level Otd Program, Thahiyatul Sarah
Expanding Nbcot® Exam Readiness Resources In An Entry-Level Otd Program, Thahiyatul Sarah
Capstone Projects
The National Board for Certification in Occupational Therapy (NBCOT®) exam is a critical requirement for entry-level occupational therapy (OT) practice in the United States; however, many students face challenges in effectively preparing for its clinical reasoning demands. This literature review examines existing research on NBCOT® exam preparation strategies to inform the development of a comprehensive exam content guide and resources tailored for OT graduate students. Existing barriers, including gaps in curriculum alignment, limited access to effective study tools, and high levels of student stress, highlight the need for more structured and accessible preparation methods. By examining key themes such as …
Linguistic Dual Hesitant Hypersoft Set And Their Application With Decision Making In Medical Diagnosis And Treatment, B. Sathiyapriya, V. Pankajam
Linguistic Dual Hesitant Hypersoft Set And Their Application With Decision Making In Medical Diagnosis And Treatment, B. Sathiyapriya, V. Pankajam
Neutrosophic Sets and Systems
This study presents Linguistic Dual Hesitant Hypersoft Set (LDHHS) for Analysing Medical Diagnose. In LDHHS, linguistic terms are combined with Dual Hesitant logic to handle uncertainty and vagueness in Decision-Making. The Hypersoft Set extend traditional soft sets by handling multi-attributes and interdependent parameters in Decision-Making. In the context of LDHHS can be used to categorize and assess different aspects of Aggregation and using Decision-Making in Medical Diagnose. In this study the development of this framework, its application and its potential impact using a Gastroesophageal reflux disease (GERD) case study to illustrate its effectiveness.
Neutrosophic Πgγ* Closed Sets In Neutrosophic Topological Spaces, K. Sakthivel, A. Gomathi
Neutrosophic Πgγ* Closed Sets In Neutrosophic Topological Spaces, K. Sakthivel, A. Gomathi
Neutrosophic Sets and Systems
This paper introduces and investigate the notion of Neutrosophic πgγ* closed sets within the framework of Neutrosophic topological spaces. The study begins defining Neutrosophic πgγ* closed sets and proceeds to investigate their fundamental properties and characterizations. Special attention is given to examining how these sets interrelate with and extend existing classes of Neutrosophic closed sets. By establishing inclusion relations and comparative hierarchies, the paper highlights the significance of Neutrosophic πgγ* closed sets in broadening the structural understanding of Neutrosophic topologies. Furthermore, several illustrative examples are provided to demonstrate the distinctive features of these sets and to clarify their role in …
Neutrosophic Quadruple Metric Spaces And Neutrosophic Quadruple Normed Spaces, Memet Şahin, Arif Sarıoğlan, Amanzholova Alina Bolatkyzy
Neutrosophic Quadruple Metric Spaces And Neutrosophic Quadruple Normed Spaces, Memet Şahin, Arif Sarıoğlan, Amanzholova Alina Bolatkyzy
Neutrosophic Sets and Systems
This study establishes fundamental results in the emerging domains of neutrosophic quadruple metric spaces and neutrosophic quadruple normed spaces. Building upon the recent definition of neutrosophic quadruple metric spaces, the first primary contribution is the development of fixed-point theory within this generalized framework. Specifically, we formulate and rigorously prove an analogue of the Banach contraction principle tailored for neutrosophic quadruple metric spaces. Furthermore, we establish additional fixed-point theorems applicable in this context, extending foundational results from classical metric spaces and simpler neutrosophic structures to handle the increased complexity and uncertainty modeled by quadruple-valued neutrosophic sets. The second major contribution involves …
Comparisons Of Infinitesimally Punctured Wave With Copenhagen And De Broglie-Bohm Interpretations, Neutrosophic Quantum Mechanics, And Non-Linear Electromagnetics, Florentin Smarandache
Comparisons Of Infinitesimally Punctured Wave With Copenhagen And De Broglie-Bohm Interpretations, Neutrosophic Quantum Mechanics, And Non-Linear Electromagnetics, Florentin Smarandache
Neutrosophic Sets and Systems
The article’s goal is to compare the "infinitesimally punctured wave" with the major interpretations of the fundamental philosophical differences in how physicists view reality at the quantum level.
Role Of Clans In The Proximities Of Neutrosophic Sets, R. Subasree, K. Basari Kodi, Giorgio Nordo, K. Subramanian, N. Nagamani
Role Of Clans In The Proximities Of Neutrosophic Sets, R. Subasree, K. Basari Kodi, Giorgio Nordo, K. Subramanian, N. Nagamani
Neutrosophic Sets and Systems
In this study, the terms filters, grills, clans, and proximities of neutrophic sets are defined. Further some of its properties are investigated and the results are provided.
Contra Continuous And Irresolute Maps Via M-Open Sets In N-Cylindrical Neutrosophic Topological Spaces, S. Anandhi, R. Vijayalakshmi, Shantha K. Lakshmi
Contra Continuous And Irresolute Maps Via M-Open Sets In N-Cylindrical Neutrosophic Topological Spaces, S. Anandhi, R. Vijayalakshmi, Shantha K. Lakshmi
Neutrosophic Sets and Systems
This paper introduces and investigates the concept of n-cylindrical neutrosophic contra M-continuous mappings within the framework of n-cylindrical neutrosophic topological spaces. Motivated by recent advances in neutrosophic contra continuous functions, irresolute mappings, and n-cylindrical fuzzy neutrosophic topological structures, the study establishes several fundamental properties of n-cylindrical neutrosophic contra M-irresolute mappings. The proposed mappings are analyzed in relation to existing classes of neutrosophic contra continuous and contra irresolute functions, highlighting their structural properties and interrelationships. The obtained results extend and generalize earlier studies in neutrosophic topology, thereby contributing to the theoretical development of neutrosophic topological spaces. Furthermore, this work provides a …
Nonagonal Neutrosophic Number: Analytical Aspects And Its Role In Optimization Technique For Transportation Problem, B. Sincy, V. M. Riya
Nonagonal Neutrosophic Number: Analytical Aspects And Its Role In Optimization Technique For Transportation Problem, B. Sincy, V. M. Riya
Neutrosophic Sets and Systems
Neutrosophic numbers have received increasing attention from researchers and industrialists to address the indeterminacy and uncertainty inherent in real-life decision-making. This study aims to solve the transportation problem where supply, demand and transportation costs are Nonagonal Neutrosophic Numbers (NNNs). In the existing literature, various methods have been introduced to solve transportation problems (TPs) involving neutrosophic parameters. The application of Nonagonal Neutrosophic Numbers to transportation problems is a relatively recent development. NNNs offer a more detailed and adaptable representation of uncertainty by utilizing a nine-parameter structure that captures the degrees of truth, indeterminacy, and falsity. Therefore, in this paper, we solve …
Horizontal And Vertical Generalized N-Fold Algebra: Formal Construction And Applications In Multi-Dimensional Modeling, Florentin Smarandache
Horizontal And Vertical Generalized N-Fold Algebra: Formal Construction And Applications In Multi-Dimensional Modeling, Florentin Smarandache
Neutrosophic Sets and Systems
This paper extends the recently developed framework of Neutrosophic Logic-based Two-Fold Algebra (TFA), which was designed to integrate classical algebraic operations with fuzzy and neutrosophic components for modeling uncertainty alongside deterministic structures. Although TFA successfully combines algebraic operations with uncertainty descriptors, its binary structure becomes restrictive in applications requiring the simultaneous integration of multiple independent qualification dimensions, such as risk, sustainability, reliability, and performance assessment. To address this limitation, the paper introduces two generalized frameworks: Horizontal n-Fold Algebra and Vertical n-Fold Algebra, together forming the generalized n-Fold Algebra (n-FA), together with the extension from two-valued to multi-valued operations where m≥2. …
Integral Type Contractive Condition In E-Chainable Neutrosophic Metric Space And Common Fixed Point Theorem, Rajesh Kumar Saini, Mukesh Kushwaha, Moh. Kasim
Integral Type Contractive Condition In E-Chainable Neutrosophic Metric Space And Common Fixed Point Theorem, Rajesh Kumar Saini, Mukesh Kushwaha, Moh. Kasim
Neutrosophic Sets and Systems
Nonlinear Optimization, Game theory, economics and study of differential equations are just a few of the many domains in which fixed point theory (FPT) is essential. It is possible to construct new forms of infinite products by using continuous triangular norms (TN) and continuous triangular co-norms (TC). Banach contraction principal has been established in the context of neutrosophic metric space (NMS) within the framework through the use of these newly define infinite products. We introduced integral type contractive condition in -chainable NMS and establishes a common fixed point theorems (CFPTs) in the current work. The result acquired in this study …
Operations On Pythagorean Neutrosophic Fuzzy Matrix, V. Surya, Sophia R. Porchelvi
Operations On Pythagorean Neutrosophic Fuzzy Matrix, V. Surya, Sophia R. Porchelvi
Neutrosophic Sets and Systems
This article discusses various unique varieties of Pythagorean neutrosophic fuzzy matrices (PNFM). Some fundamental operations such as addition, multiplication, union, intersection, complement, and exponen tial are discussed. This work introduces algebraic operations on PNFM and demonstrates some of its associated theorems, including distributive, commutative, and associative. The purpose of these investigations is to con tribute to a better understanding of PNFM and its use in real-world uncertainty.
The Α-Discounting (Α-Dmcdm) As An Extension Of Ahp, Topsis, Vikor, Promethee, And Weighted Sum, Florentin Smarandache
The Α-Discounting (Α-Dmcdm) As An Extension Of Ahp, Topsis, Vikor, Promethee, And Weighted Sum, Florentin Smarandache
Neutrosophic Sets and Systems
This paper presents a comprehensive study of the α-Discounting Multi-Criteria Decision Making (α-D MCDM) method, an extension of the classical Multi-Criteria Decision Making framework designed to address inconsistencies and complex preference structures in decision analysis. Traditional methods such as the Analytic Hierarchy Process (AHP) and related MCDM techniques perform effectively when decision makers provide consistent pairwise comparisons; however, real-world decision problems frequently involve inconsistent, n-wise, interval-valued, or non-linear preference relations that exceed the capabilities of classical approaches. The proposed α-D MCDM method introduces a global discounting parameter α, which transforms inconsistent systems of preference equations into solvable algebraic models while …
Reminders App Execution, Alexander Gardner
Reminders App Execution, Alexander Gardner
Harrisburg University Other Works
This poster highlights the creation of an Android mobile application for reminders. This app is titled It's Time, Remind! Developed with the Flutter SDK and SQLite for the local database. Firebase Authentication was utilized for user account registration, login/ logout, and profile management. Users can additionally choose to use the app without an account. Users are able to view, create, and delete reminders and notes. Reminders also notify at specified times.
The Role Of Human-Centered Artificial Intelligence In Crewed Mars Missions, Jordan Neuman
The Role Of Human-Centered Artificial Intelligence In Crewed Mars Missions, Jordan Neuman
Student Publications and Presentations
The suggestion of implementing Artificial Intelligence (AI) in crewed missions to the Martian surface can revolutionize mission operations, psychological support, and ethical decision‑making under challenging conditions. This study is a structured, qualitative literature review of current AI research for the future of human space exploration. It uses publicly available peer‑reviewed journal articles and NASA/ESA technical reports on AI for Mars missions. Using Perplexity, the researcher first prompted the AI tool to identify recurring topics across these sources and generate themes. The researcher independently reviewed all sources to confirm and refine those themes. Three themes—mission autonomy, local resource utilization and life‑support, …
An Analysis Of Surface-Level Macro And Microplastics Along Western Central Leyte, Philippines, Graham B. Morrison-Plumley
An Analysis Of Surface-Level Macro And Microplastics Along Western Central Leyte, Philippines, Graham B. Morrison-Plumley
Electronic Theses and Dissertations 2020 - Present
With the pervasive use of plastics worldwide, their environmental effects can reach even the most remote ecosystems. This study examines both macro and microplastic pollution in the Greater Baybay region in western Leyte, Philippines. Samples from 10 separate sites within Baybay and its adjacent communities represent the unique environmental and geologic diversity of the central Visayan region of the Philippines. At each of the 10 sampling sites, 3 excavations were conducted, yielding 30 samples. Macroplastics were collected in the field, immediately around microplastic digs. Microplastic samples were analyzed in Florida Atlantic University’s Environmental Change Lab. It was determined that spatial …
Reproductive Season And Fecundity Reassessment Of Gopher Tortoises (Gopherus Polyphemus) In Southeastern Florida, Riley Waters
Reproductive Season And Fecundity Reassessment Of Gopher Tortoises (Gopherus Polyphemus) In Southeastern Florida, Riley Waters
Electronic Theses and Dissertations 2020 - Present
The gopher tortoise (Gopherus polyphemus) breeding season occurs throughout spring and early summer across its distributional range, but recent research shows that in southeastern Florida, mating also occurs in the fall and winter months. This project evaluates the gopher tortoise’s extended reproductive season in southeastern Florida and female fecundity. The study, conducted at two locations in South Florida: Jupiter, FL and Boca Raton, FL, used field ultrasound equipment and radiographs to identify gravid females and determine clutch size. The data suggest a much earlier start to egg development and nesting, and the possibility of an extended egg development …
Development Of Research Direction At The Hospital General De México In The Last Two Decades, Juan C. Lopez-Alvarenga, José D. Carrillo-Ruiz, Galileo Escobedo, América Guadalupe Arroyo Valerio, Miguel Fonseca-Sanchez, Gustavo Acosta-Altamirano
Development Of Research Direction At The Hospital General De México In The Last Two Decades, Juan C. Lopez-Alvarenga, José D. Carrillo-Ruiz, Galileo Escobedo, América Guadalupe Arroyo Valerio, Miguel Fonseca-Sanchez, Gustavo Acosta-Altamirano
School of Medicine Publications
No abstract provided.
Fort Hays State University Tiger Weekly, April 24, 2026, University Relations
Fort Hays State University Tiger Weekly, April 24, 2026, University Relations
Tiger Weekly Newsletters
No abstract provided.
High Performance Ae-Cnn Model Enhanced Via Gaussian Augmentation For Rssi-Dependent Indoor Positioning In Wireless Sensor Networks, Kahlaa K. Al-Nassrawy, Ghaidaa A Al-Sultany
High Performance Ae-Cnn Model Enhanced Via Gaussian Augmentation For Rssi-Dependent Indoor Positioning In Wireless Sensor Networks, Kahlaa K. Al-Nassrawy, Ghaidaa A Al-Sultany
Karbala International Journal of Modern Science
Precise indoor positioning system remains a significant challenge within Wireless Sensor Networks (WSNs) due to the instability and noise sensitivity of Received Signal Strength Indicator (RSSI) data. This paper proposes an advanced hybrid deep learning framework designed for 2D indoor localization, utilizing RSSI measurements to predict human or object position. Furthermore, to enhance the robustness of the model against signal variance and promote its generalization capability under this uncertainty, a data augmentation strategy is applied using three methods: Gaussian Noise Injection (GNI), Gaussian Mixture Model (GMM), and Bayesian Gaussian Mixture Model (BGMM). The purpose of data augmentation is to simulate …
Human Rights Education, Racism And Early Childhood Education In Brazil: A Systematic Review, Ana Tereza Ramos De Jesus Ferreira, Juliene Madureira Ferreira
Human Rights Education, Racism And Early Childhood Education In Brazil: A Systematic Review, Ana Tereza Ramos De Jesus Ferreira, Juliene Madureira Ferreira
International Journal of Human Rights Education
Brazil was the last country in South America to put an end to the 388-year slave trade. To justify the trade of people from Africa, a series of actions were taken to dehumanize the Black population, namely racism. Thus, the culture, religion, clothes, and phenotypical characteristics of Black people were considered inferior to those of the White race, and this continues to impact the lives of the Black population, which suffers from social inequality, low-quality education, and low-paid jobs up to this day. Therefore, this review aims to investigate Brazilian literature on activities in early childhood education (ECE) to fight …
Using Vortices To Probe Bose-Einstein Condensate Flow, Ian A. Iucker, Mark Edwards
Using Vortices To Probe Bose-Einstein Condensate Flow, Ian A. Iucker, Mark Edwards
GS4 Student Scholars Symposium
We present a model for probing the flow of a Bose-Einstein condensate (BEC) trapped in a double-target potential. A target potential BEC contains a disk-shaped condensate surrounded by a ring condensate. A double-target BEC consists of two overlapping target BECs. Flow can be induced in one ring of the double-target BEC and will persist in that ring if left undisturbed. When a barrier potential is applied in the overlap region it is possible for this flow to transfer to the other ring. The mechanism for this transfer can be probed by imprinting a small vortex at a point along the …
The Fischer-Tropsch Process For Diesel Synthesis: A Literature Review, Mayanne W. Beach
The Fischer-Tropsch Process For Diesel Synthesis: A Literature Review, Mayanne W. Beach
GS4 Student Scholars Symposium
Currently, the global energy grid and economy is highly dependent on crude oil, coal, and other non-renewable "fossil fuels". This dependence poses a variety of problems. The consumption of fossil fuels contributes to global warming and environmental pollution, and access to these fuels is often mired in geopolitical conflict. These roadblocks have driven a growing interest in researching the production of renewable fuels. One such production method is the Fischer-Tropsch (FT) process for renewable synthesis of diesel from syngas. This review explores the FT process in detail, describing the mechanism, selectivity factors, product composition, and byproducts. The various choices of …
Assessing Decision Making Under Risk And Dynamic Task Environments In Humans, Dylan J. Cato
Assessing Decision Making Under Risk And Dynamic Task Environments In Humans, Dylan J. Cato
GS4 Student Scholars Symposium
This research evaluates the theoretical foundations of recent embodied and enacted decision- making models(Baker., et al 2022) , specifically investigating whether "urgency" serves as a domain-general mechanism for reward-rate maximization. Across three experiments using a reward-performance contingency, we compare traditional decision-making frameworks with urgency-based theories to determine how participants navigate task demands and whether optimality assumptions hold (Reynaud, et al 2020). A primary focus involves testing whether motor excitability increases directly with evidence, or if "higher-level" deliberation occurs in parallel with se Using the Generalized Drift-Diffusion Model (GDDM) framework via PyDDM (Shinn, et al 2020), we will …
Investigating The Bioactivity Of Novel Β-Diketonate Complexes, Celeste Remolina, Dylan Wolfe
Investigating The Bioactivity Of Novel Β-Diketonate Complexes, Celeste Remolina, Dylan Wolfe
Research & Creative Achievement Day
Ruthenium β-diketonate complexes have emerged as promising chemotherapeutics due to their selective bioactivity against tumors. We assessed the bioactivity of novel synthesized ruthenium β-diketonate complexes on human cancer cells as well as wild-type cells. Using cell growth assays, we screened candidate ruthenium complexes and determined the IC50 value for effective candidates. Here we present a model for ruthenium-mediated growth inhibition
Fastenal Internship And Kpi Tracker Project, Tyler T. Schaack
Fastenal Internship And Kpi Tracker Project, Tyler T. Schaack
Research & Creative Achievement Day
From my internship at Fastenal, I have been able to learn and apply many skills from my classes into my day-to-day work. In the supply chain department of Fastenal there are many things' planners must keep an eye on to ensure proper and sufficient supply for our customers. Working for a big company means that there are lots of unique parts and plans that need to be constantly reviewed to keep everything accurate. Before starting my project there was no good way of organizing and tracking what improvements need to be made to our parts. Using Excel, Power Query, and …
Using Fluorimetry And Spectroscopy For Quantitative Analysis Of Biomaterial-Derived Carbon Dots, Kahun N. Vue
Using Fluorimetry And Spectroscopy For Quantitative Analysis Of Biomaterial-Derived Carbon Dots, Kahun N. Vue
Research & Creative Achievement Day
Carbon Dots (CDs) are renowned for having great quantum yield, absorption, electron transfer, and stability. Biomaterial-derived carbon dots are eco-friendly nanomaterials synthesized through the carbonization and condensation of organic surface groups. This study investigates the synthesis, characterization, and application of CDs derived from various biomaterial precursors, including chitosan, cellulose, β-keratin, α-keratin, and amylose derived from chitosan, corn husk, chicken feathers, human hair, and potato skin respectively. Hydrothermal and purification methods were used to develop a green, cost-effective synthesis while evaluating the eco-friendliness and sustainability of the resulting nanomaterials. The physicochemical properties of each CD were evaluated based on fluorescence intensity, …
Predicting The Probability Of Having Diabetes Using Machine Learning, Logan C. Stewart
Predicting The Probability Of Having Diabetes Using Machine Learning, Logan C. Stewart
Research & Creative Achievement Day
Each year the Centers for Disease Control and Prevention (CDC) distribute the Behavioral Risk Factor Surveillance System (BRFSS) telephone surveys to acquire nationwide data about US residents' health. This survey collects data on hundreds of health-related variables from hundreds of thousands of participants. It is a powerful tool for building health promotion and has even influenced and supported health-related state legislation. This study uses that data to predict an individual's probability of having diabetes based on dietary, demographic, health, and economic factors. Diabetes is a group of diseases that causes the body to use insulin ineffectively, and one in four …
Modeling Social Media Mob Dynamics Using A Hybrid Scvir System With Time-Varying Parameters And Recurrent Neural Networks, Noushin Gauhar
Modeling Social Media Mob Dynamics Using A Hybrid Scvir System With Time-Varying Parameters And Recurrent Neural Networks, Noushin Gauhar
GS4 Student Scholars Symposium
In this work, we develop a discrete-time susceptible-counter-infected-vaccinated-recovered (SCIVR) epidemiological framework to model the spread of mob-like information on social media. The model captures the interaction between susceptible neutral attention, infected mob-spreading narratives, counter or corrective discourse, low-visibility (vaccinated) content, and collective disengagement. COVID-19 twitter data were transformed into daily compartmental aggregates using sentiment polarity and retweet-based visibility thresholds, facilitating high-resolution modeling of information diffusion processes. The dataset comprises globally collected tweets between April and June 2021, filtered using keywords including “COVID19”, “coronavirus”, “quarantine”, “socialdistancing”, “staysafe”, “stayhome” and “lockdown”. Qualitative analysis of the SCIVR system includes derivation of the mob-free …