Digital Commons Network^™

Performance-Based Budgeting Implementation Strategies For Improving Financial Performance, Waleed Ibrahim Alsyaegh

Walden Dissertations and Doctoral Studies

The lack of effective strategies for allocating organizational financial resources can lead to adverse business outcomes. Business managers are concerned about the ineffective allocation of financial resources, as it can impede financial performance and sustainability.Grounded in stakeholder theory, the purpose of this qualitative single-case study was to explore the performance-based budgeting strategies that business managers use to sustain financial profitability. The participants were 10 business managers who oversee subsidiaries that successfully implemented performance-based budgeting.Data were collected through semistructured interviews and the review of organization documents. Through thematic analysis, four themes were identified: (a) traditional versus contemporary budgeting; (b) importance of …

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.

Advancing Neutrosophic Topology Through Gamma Generalized Alpha Closed Sets, B. Kalaiselvi, K. Sivakumar, S. Chandrasekar, P. Kalarani, A. Kesavan

Neutrosophic Sets and Systems

This paper introduces a new class of Neutrosophic closed sets, termed Neutrosophic γ-generalized α-closed sets (Ne.(γGα)CS), together with their corresponding open sets (Ne.(γGα)OS), within the framework of Neutrosophic Topological Spaces (NTS). The study is motivated by limitations in existing classes of Neutrosophic closed sets, including α-closed, semi-closed, and γ-closed sets, which often lack sufficient flexibility for modeling hybrid structures characterized by partial membership, indeterminacy, and uncertainty. To overcome these limitations, the proposed Ne.(γGα)CS are defined using β-closure operators and α-open supersets, providing a more comprehensive framework that extends and unifies several previously established concepts. The properties of these sets are …

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 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

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.

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 …

Advancing Common Fixed Point Theorems In Bipolar Fuzzy-2 Metric Space And Applications In Nonlinear Analysis, Rajesh Kumar Saini, Mukesh Kushwaha

Neutrosophic Sets and Systems

This study advances common fixed point theorems (CFPT) in bipolar fuzzy-2 metric space (BF2MS) and explores their applications in nonlinear analysis. BF2MS generalizes traditional metric and fuzzy metric spaces (FMS) by incorporating dualistic relationships, allowing the representation of both attraction and repulsion effects. We extend classical fixed point theorems (FPTs) to BF2MS, establishing conditions for the existence of common fixed points (CFPs). The study's applications span nonlinear analysis, stability analysis, control theory, and multi-criteria decision-making under uncertainty. Our findings refine existing results and provide practical real-world applications, supported by numerical examples, enhancing fuzzy mathematics and nonlinear systems modeling.

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

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. …

Complex Neutrosophic Aczel-Alsina Aggregation-Based Hybrid Decision Framework For Machine Learning Encryption In Banking, Muhammad Kamran, Muhammad Shazib Hameed, Muhammad Tahir, Said Broumi, Nurullayev Mirolim Nosirovich

Neutrosophic Sets and Systems

Advanced uncertainty modeling tools have emerged due to the growing complexity of real-world decision environments. Complex Single-Valued Neutrosophic Sets (CSV-NSs) use special functions to represent truth, uncertainty, and falsehood, making it easier to show unclear, conflicting, and vague information. CSV NSs, which consider both size and direction of uncertainty, let one more precisely combine and make decisions by using complex numbers. This work presents robust approaches for combining information, which rely on the Aczel-Alsina (A-A) operator and power-weighted strategies specifically designed for CSV-NS. These are included in a used to design hybrid decision-making framework and in the context of a …

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

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 …

Neutrosophic Sets And Systems, Vol. 98, 2026, Florentin Smarandache, Muhammad Abdel-Baset, Maikel Leyva-Vázquez

Neutrosophic Sets and Systems

This edition of “Neutrosophic Sets and Systems” presents a diverse collection of studies that contribute to the theoretical development and practical application of neutrosophic, fuzzy, hypersoft, and generalized algebraic systems in complex decision-making and information analysis environments. The published works explore innovative mathematical structures, including generalized neutrosophic topological spaces, neutrosophic algebraic systems, hypersoft and dual hesitant frameworks, multi-valued and n-fold algebraic models, and advanced decision-making methodologies designed to address indeterminacy, inconsistency, vagueness, and multidimensional uncertainty. Several contributions introduce new classes of neutrosophic closed sets, contra continuous mappings, and generalized algebraic operators, extending existing theories in topology, algebra, and set theory. …

Design And Implementation Of A Monte Carlo Integrated Graphical User Interface For Rocketpy, An Open Source, Python-Based High-Power Rocketry Library, Elena Maria Dishman

Honors Capstone Projects and Theses

No abstract provided.

Comparative Phytochemical And Antioxidant Analysis Of Acalypha Wilkesiana Extracts Using Different Solvents, Tj Cataloni, Victor Chibuzor Johnson, Gabrielle Depowski

Chemistry and Chemical Engineering Student Publications

Medicinal plants are a rich source of bioactive compounds with therapeutic potential. Antioxidants play a critical role in combating oxidative stress associated with chronic diseases. The extration of these compounds depends on solvent polarity, affecting yield and composition. Acalypha wilkesiana provides an excellent model for such studies. This work presents an evaluation of phytochemical content and antioxidant activity of A. wilkesiana extracts obtained using solvents of varying polarity.

Thiocoumarin As A Photocaging Scaffold: Synthesis And Light- Triggered Release, Angelina Gaffey, Gabrielle Depowski, Victor Johnson

Chemistry and Chemical Engineering Student Publications

Photocaging involves inhibiting a molecule’s function with a photolabile protecting group (PPG), allowing for precise spatiotemporal control and release of the molecule in vivo. Photocages which respond to UV light upon single photon irradiation have limited use in vivo due to cytotoxicity. Thiocoumarin is a promising photocage which absorbs in the visible light region and can cage multiple essential neurotransmitters, such as GABA and glutamate. In addition, thiocoumarin can be easily tracked through live cells due to its persistent fluorescence throughout the caging process. In this project, GABA was utilized to explore the properties of thiocoumarin as a light-triggered photocage.

Non-Isocyanate Polyurethanes From Kraft Lignin, Savannah Madairy, Ayden Weil, Eric Huynh, Elliott Bischof

Chemistry and Chemical Engineering Student Publications

Adhesives from isocyanate polyurethanes have strong bonding properties yet pose serious health risks in both production and daily life. Kraft Lignin, a common organic waste, contains the functional groups that can make a renewable alternative and replace isocyanate’s role in adhesives. Our production plant will be placed in Rome, Georgia attached to an existing paper mill with competitive pricing of 26.47$/kg. Our three-step process proposes a sustainable approach to producing polyurethane adhesives without incorporating isocyanates.

Sustainable Ethanol Production From Agricultural Waste, Eva Shealy, Bre Venditti, Muath Alharbi, Jacob Dymock

Chemistry and Chemical Engineering Student Publications

This project presents a commercial-scale process which converts waste corn stover into fuel grade ethanol through syngas fermentation. By integrating thermochemical conversion with microbial processing, the design explores an innovative pathway for ethanol production, resulting in a lower-impact alternative to traditional processes.

Photoswitchable Metal Chelators, Rhea Sharma

Chemistry and Chemical Engineering Student Publications

Develop a light-responsive chelator that switches between OFF and ON metal-binding states, enabling spatiotemporal control of metal coordination.

Spacepnp, Khurram Valiyev, Sam Warner, Jabari Sterling, Samuel Kaguima

Chemistry and Chemical Engineering Student Publications

Our mission is to eliminate design-to-procurement using a unified ecosystem that users can discover, validate, and preview components with confidence.

Interoperability For Human-Ai Teaming And Decision-Making In Extreme Contexts, Amber King

Psychology Student Publications

• Emergency response agencies are consistently challenged with communication breakdowns that limit coordination, where these interoperability failures contributed to the tragic loss of lives [11, 13].
• Human-AI teaming encompasses complexities, including shared knowledge, trust, interdependence, and effective communication that are essential for improvement of performance & decision-making, while poor integration of AI can create overreliance that hinders coordination [4, 7, 9, 10, 14]. 
• The current study aims to investigate how AI reliability & explainability affect decision accuracy and perceived team interoperability, while questioning how trust in AI can impact an individual’s decision.

We’Re Playing Basketball, Lana Ammash

Psychology Student Publications

African American (AA) youth face a host of sociological challenges that impact their marginalized status, especially during their formative years of racial/ethnic identity development that compromise self-esteem (Cross et al., 1991). As a result, racial socialization strategies are employed within Black communities to offset these negative consequences by bolstering ego strength and Black pride.

Therefore, a local afterschool program in an AA community, provides enrichment programs for success, academic achievement, and positive self-esteem using Afrocentric models. This includes programs focused on building ego strength and self-esteem through sports’ programs, such as basketball, as sports can promote social and emotional growth, …

Rapid Evidence Assessment: Eyewitness Testimony Of Anomalous Events, Tanna-Leigh Wesson

Psychology Student Publications

1. Memory is best when events and information either fit existing schema, or clearly violate known schema, while memory is weaker for events that are unrelated to any schema (Greveetal.,2019).

2. Anomalous events are not reproducible and cannot be examined through traditional experimental scientific methods, meaning that it is studied through sighting reports. Therefore, eyewitnesses have an important role in reporting information (Mavrakis,2023).

3. Collecting accurate information is important for perceiving and understanding national security threats, such as drone warfare (CPNI,2022).

4. Currently, the method of collecting information and data from witnesses has been insufficient and prone to error (daSilva,2022). …

Aces And Trust In Courts, Michael A. Wesley Jr.

Psychology Student Publications

Trust in the American court system is a foundational pillar of the legal system, based on the public's belief that authorities will make fair and just decisions.1 Therefore, understanding what factors degrade the public’s faith in the system is crucial. Most research on this topic examines the amount of trust placed in the police or the government.2, 3, 4However, there are no articles that investigate the relationship between trauma and trust in American courts. This is an issue because, as previously mentioned, individuals who have any number of ACEs are more likely to encounter the criminal justice system, including courts.5Understanding …

Breach Buddy: Compact Ugv, Zane Hicks, William Stanish, Kyle Gillenwater, Luis Garbanzos

Electrical Engineering and Computer Science Student Publications

This project addresses the challenges of obtaining real-time intelligence in hazardous environments, where personnel face significant risks and many existing systems face significant drawbacks.

Cardiac Image Reconstruction From Low-Dosage Spect Scans Via Deep Learning (Cirfldssvdl), Evan Gunderson, Timothy Shane, Alexander Thoms

Electrical Engineering and Computer Science Student Publications

● Single-Photon Emission Computed Tomogrophy (SPECT) scans are a type of medical scan ● A patient is injected with a radiotracer, which emits gamma rays that are detected by gamma cameras that rotate around the patient ● Using a series of images collectively referred to as a sinogram, a 3D reconstruction of the patient is created using techniques such as Maximum Likelihood Expectation Maximization (MLEM) ●MLEM takes a long time, but using a neural network can speed up the reconstruction process and allow for a lower dosage of radiotracer to be used

Aurora Display - Autonomous Dashboard For Smart Spaces, Isabella Bretthauer, Zach Collins

Electrical Engineering and Computer Science Student Publications

Aurora Display is a low-cost, API-driven digital signage platform for public environments. Built on Raspberry Pi 4B, it retrieves and normalizes real-time data from multiple sources and displays it through a modular tile interface. Local caching and fallback states ensure continuous, autonomous operation. A working prototype demonstrates adaptable deployment, sustainable operation, and continuous real-time, context-aware, information delivery.

Skin Cancer Detection App, Nicholas Rincon-Speranza, Lawson Darrow, Nikiraj Konwar, Christian Stevens

Electrical Engineering and Computer Science Student Publications

Skin cancer is one of the most common cancers, and early detection greatly improves outcomes.

Many people do not have quick or easy access to a dermatologist for an initial screening.

Our goal was to build a mobile app that can analyze a lesion image and provide a fast preliminary prediction on device.

This is not meant to replace a doctor, but to serve as an accessible screening aid that encourages earlier follow-up.

Edge Vision, A. Dookeran, L. Kahveci, K. Voelstad Bogen, M. Yanke

Electrical Engineering and Computer Science Student Publications

Assisted feeding requires real-time detection of: 

• Food locations of varying types 
• Mouth positions of where to feed. The system shall accurately detect and return the coordinates of the aforementioned while being able to execute on the NVIDIA Jetson Orin Nano.