Digital Commons Network^™

Harnessing Federated Learning For Stock Analysis And Portfolio Optimisation, Nishanth Sagar Panthangi

Theses

Financial technology is rapidly transforming, with machine learning becoming crucial in stock analysis and portfolio optimization. Traditional stock analysis faces data privacy challenges when pooling data. Federated Learning addresses this by training models collaboratively without sharing raw data. This thesis explores Federated Learning in stock analysis, focusing on optimizing portfolio strategies using client-specific data.The proposed Federated Learning framework allows entities to develop independent models while maintaining data privacy. By combining diverse trading strategies, a global model is built, enhancing adaptability and predictive accuracy. The global model achieved a 25.08% CAGR and a Sharpe ratio of 4.46, outperforming individual models, which …

Encapsulation Of Probiotics By Cellulose Nanocrystal-Alginate Composite Beads For Ph Stimuli-Responsive Delivery, Akrip Jati

Graduate Theses and Dissertations

Microencapsulation has garnered significant interest, with oral probiotics delivery systems showing enormous potential to help restore the gut microbiome. This method holds vast potential to protect and release specific microbial strains to the desired target site (i.e., colon) within the gastrointestinal tract (GIT). However, current encapsulation methodologies, utilizing either synthetic or biological materials as carriers, encounter challenges such as suboptimal encapsulation efficiency, premature probiotic release, and inadequate control over release kinetics. In this work, hydrogel microsphere (HM) composites of different cellulose nanocrystal (CNC) forms (i.e., colloidal (c), and crosslinked (x)) and alginate (ALG) were used as advanced controlled release systems …

Aars Online: A Collaborative Database On The Structure, Function, And Evolution Of The Aminoacyl-Trna Synthetases, Jordan Douglas, Haissi Cui, John J. Perona, Oscar Vargas-Rodriguez, Henna Tyynismaa, Claudia Alvarez Carreno, Jiqiang Ling, Lluis Ribas De Pouplana, Xiang-Lei Yang, Multiple Additional Authors

Chemistry Faculty Publications and Presentations

The aminoacyl-tRNA synthetases (aaRS) are a large group of enzymes that implement the genetic code in all known biological systems. They attach amino acids to their cognate tRNAs, moonlight in various translational and non-translational activities beyond aminoacylation, and are linked to many genetic disorders. The aaRS have a subtle ontology characterized by structural and functional idiosyncrasies that vary from organism to organism, and protein to protein. Across the tree of life, the 22 coded amino acids are handled by 16 evolutionary families of Class I aaRS and 21 families of Class II aaRS. We introduce AARS Online, an interactive Wikipedia-like …

Deep Learning For Bitcoin Price Direction Prediction: Models And Trading Strategies Empirically Compared, Oluwadamilare Omole, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper applies deep learning models to predict Bitcoin price directions and the subsequent profitability of trading strategies based on these predictions. The study compares the performance of the convolutional neural network–long short-term memory (CNN–LSTM), long- and short-term time-series network, temporal convolutional network, and ARIMA (benchmark) models for predicting Bitcoin prices using on-chain data. Feature-selection methods—i.e., Boruta, genetic algorithm, and light gradient boosting machine—are applied to address the curse of dimensionality that could result from a large feature set. Results indicate that combining Boruta feature selection with the CNN–LSTM model consistently outperforms other combinations, achieving an accuracy of 82.44%. Three …

(R2098) Dynamic Analysis Of Stochastic Leslie-Gower Biological Predator-Prey Model With Prey Cannibalism, Sada Nand Prasad, Itendra Kumar Universiry Of Delhi, India, Pawan Kumar

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we study the dynamical analysis of a stochastic Leslie–Gower biological predator– prey model. Earlier, the Leslie–Gower model was studied in the context of biological systems, including cases involving cannibalism. In our model, we investigate the dynamic properties of a stochastic Leslie–Gower predator–prey ecological system using the stability of invariant measures on invariant sets, where the invariant measures are shown to be ergodic. We also conduct a threshold analysis to study the stochastic persistence and extinction of species. Stochastic bifurcation is also examined. The theoretical results are supported by numerical simulations and examples. Intra-species competition is considered and …

(R2116) The Novel Garima Distribution Properties And Nuclear Data Application, Murat Aygün, Ayşe Metin Karakaş

Applications and Applied Mathematics: An International Journal (AAM)

This research introduces a new two-parameter Marshall-Olkin Garima distribution model. The novel model has many sub-models that are useful in modeling real-life data, such as the extended Garima distribution, exponentiated Garima distribution, exponential distribution, Lindley distribution, Kumaraswamy Garima distribution, and normal distribution. The proposed model demonstrates a high level of suitability in modeling both reliability and survival data. It is flexible in accommodating various failures. The quantile function, density shapes, hazard rate functions, and order statistics are a few of the statistical features that have been explored. Maximum likelihood estimation methods were employed to estimate the parameters. Using five data …

Volume 44, Number 4, December 2024 Olac Newsletter, Laura Kane Mcelfresh, Michael Herrick, Alex Whelan, Tanesa King, Nerissa Lindsey, Lisa Romano, Janelle Zetty, Morris Levy, Jan Mayo, Bobby Bothmann, Tomeka L. Jackson, Thumy Webb, Nurhak Tuncer, Katherine Manifold, Michelle Cronquist, Amanda Mack, Michelle E. Colquitt, Carla Davis Cunningham, Meghan Croll, Chelsea Gizzi, Christine Baker, Ann Kardos, Ellen Wright, Beth Fogler, Amy Pennington, Tina Marie Maes

OLAC Newsletters

Digitized December 2024 issue of the OLAC Newsletter.

Enhancing Assessment And Feedback In Game Design Programs: Leveraging Generative Ai For Efficient And Meaningful Evaluation, James Hutson, Ben Fulcher, Jay Ratican

Faculty Scholarship

The integration of generative AI tools in game design education offers promising ways to streamline the grading, assessment, and feedback processes that are typically labor-intensive. In game design programs, faculty often deal with varied file formats, including 3D models, executable prototypes, videos, and complex game design documents. Traditional methods of assessment and feedback, primarily text-based, struggle to provide timely and actionable insights for students. Furthermore, only a small percentage of top students consistently review and apply feedback, leading to inefficiencies. This article explores how generative AI tools can augment these processes by automating aspects of grading, generating more personalized and …

Exploring The Impact Of Dance Arts Integration On General Education Teaching Practices: Insights Into Classroom Environment, Planning, Instruction, And Assessment, Sara Kessler-Kennon

Master's Theses

The purpose of this research study was to explore the impact of dance arts integration facilitation on teaching practices by emphasizing classroom environment, planning, instruction, and assessment. The researcher created the following four essential questions to guide the study:

Q1 How does incorporating movement-based arts integration alter classroom environment, student behavior, student engagement, and inclusivity of students with various abilities and diverse backgrounds?

Q2 How does incorporating movement-based arts integration impact the general educators' planning time, process, style, and understanding? Does the general educator feel as though they can effectively incorporate movement-based arts integration without collaborating with a dance educator? …

Extreme Poverty, Social Justice, And Human Rights: Rawls, Sen, And Wresinski, Quentin Wodon

Vincentian Studies

This paper explores the thought on extreme poverty and social justice of Father Joseph Wresinski (1917–1988), a Catholic priest who devoted his life to working with the very poor. To situate Wresinski within debates on social justice, comparisons are made with John Rawls and Armataya Sen. The focus is on the identification of the least advantaged and of who is responsible for implementing social justice. For Rawls, the least advantaged can be defined through their endowment of primary goods, and social justice is to be implemented through a society’s core institutions. For Sen, the aim is to expand capabilities, with …

Investigating Nekton Response To Changing Salinities In The Mississippi Sound: An Experimental And Statistical Approach, Adam Murray

Master's Theses

The Mississippi Sound provides nursery habitats for many coastal species and is recognized for its commercial fisheries. Previous freshening events linked to the Bonnet Carré Spillway, a Mississippi River flood diversion structure, proved catastrophic for oyster populations in the Mississippi Sound, but effects on mobile fish and shellfish species are not well-defined. The planned Mid-Breton Sediment Diversion (MBSD), an initiative to combat wetland loss, is also forecasted to lower salinities in the region, increasing the need to better understand responses of commercially and ecologically important species to freshening events. The objective of this study was to characterize effects of salinity …

Geomorphic Assessment And Flow Modeling Of Pearl Darter (Percina Aurora) Habitat In The Pascagoula River Watershed, Malia Davidson

Master's Theses

Freshwater ecosystems are complex ecosystems driven by hydrologic, geomorphic, and biological processes. Considering both abiotic and biotic factors is important to understanding resident species habitat. Geomorphology is a known, but often neglected factor in habitat assessment for freshwater fishes. A crucial feature commonly seen in alluvial stream systems are sandbars, which are dynamic and variable sediment structures that are known to have many associated species. One such species is the Pearl Darter, Percina aurora, a federally threatened species that only resides in the Pascagoula River watershed. Despite its status, habitat preference remains unclear. To fill this knowledge gap, I …

Soldiers In The Sideshows: The 409th Infantry Regiment In World War Ii, Nicholas Garrett

Master's Theses

In the European Theater of World War II certain battlefields or campaigns such as Operation Overlord, Operation Market Garden, and the Battle of the Bulge are core aspects of American memory. However, the men of the 409^th Infantry Regiment of the 103^rd Infantry Division do not fall into this image. This unit fought as part of the U.S. Seventh Army across eastern France through the Vosges Mountains, defended against the German Operation Nordwind and broke through the Siegfried Line into southeastern Germany. Though the 409^th represents a small portion of the men of the 103^rd, …

Juvenile And Subadult Gulf Sturgeon (Acipenser Desotoi) Use Of The Pascagoula River Estuary, Sarah Stovall

Master's Theses

Gulf Sturgeon (GS) are an anadromous species currently listed as “Threatened” under the Endangered Species Act. They reside in habitats across the northern Gulf of Mexico including coastal rivers, estuaries, and marine waters, making annual migrations between freshwater and marine habitats for spawning/summer resting and feeding, respectively. Since past studies prioritize adult movement, understanding how and when juvenile and subadult GS use the Pascagoula River estuary (PRE), a complex, bifurcated river delta federally designated as critical habitat is necessary to improve conservation efforts. My thesis assessed juvenile and subadult GS use of the PRE across four years (2020-2024) by analyzing …

Mechanical Stress In Solar Cells: Beyond The Sun's Light, Md Motinu Rahman

Engineering Graduate Student 3MT

The average lifespan of a solar panel is typically 20-25 years, often limited by thermal mechanical stress caused by daily and seasonal temperature changes. These stresses create microcracks, leading to reduced efficiency and eventual failure. To address this, integrating stress and temperature sensors within solar panels can monitor and manage stress through a water-cooling system. The sensors are connected to the cloud through ThingSpeak, where data analysis is performed, and the entire system is integrated with a DC microgrid. A MATLAB algorithm, developed using reinforcement learning, manages the load and solar panel operation. This approach can potentially double the lifespan …

Effect Of Running Cadence On Tibial Acceleration: Implications For Runners Experiencing Stress Injuries, Victoria Hilfiker

Honors Theses

I. Purpose The purpose of this study was to determine the influence of cadence modification on tibial acceleration (TA) in the interest of exploring potential methods to reduce the incidence of stress-related running injuries. II. Methods Eleven injury-free distance runners were recruited to run at 6 different cadences with acoustic pacing. An inertial measurement unit (IMU) containing an onboard triaxial accelerometer was mounted on the right medial distal tibia to record acceleration at each of these paces. A repeated-measures ANOVA was conducted to determine differences in tibial acceleration over varying cadences. Effect sizes (╖2 and Cohen’s d) were examined to …

A Web Application For Comparing Llm And Knowledge Graph Performance On Cybersecurity Queries, Major Schwartz

Honors Theses

The evolution of cybersecurity has led to a spike in digital threats, both in frequency and complexity, necessitating advanced, intelligent solutions to protect sensitive information. Traditional defense mechanisms are increasingly inadequate, pushing cybersecurity professionals to seek innovative approaches for threat detection, response, and data analysis. This thesis investigates the integration of Large Language Models (LLMs) and Knowledge Graphs into cybersecurity workflows to address these challenges. Specifically, it explores the development of a web application that enables real-time, interactive use of state-of-the-art LLMs, such as OpenAI’s GPT-4 and similar models, for improved threat response and workflow efficiency. Built with a React …

Evaluating Passive And Assertive Secularism: A Comparative Study Of France And Sweden, Odessa Clear

International and Global Studies Undergraduate Honors Theses

This thesis seeks to identify the reasoning behind different outcomes of secularism in both France and Sweden in the context of Ahmet Kuru's passive and assertive secularism model. While explaining the historical causes and evolution of secularist thought, it aims to effectively evaluate contrasting approaches to how secularism is applied. To address the current gap in studies intending to assess secularism, this argument identifies how various factors are impacted by secularist-state policies. Through this analysis, it reveals the determinants in secularist approaches and their consequences on religious tensions or tolerance. This assessment of similar European countries experiencing both immigration and …

Teaching Learning Newsletter Vol 4 Issue 2, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

U-Glide Program Fall 2024, Unf Office Of Undergraduate Research, Unf Graduate School

Undergraduate – Graduate Learning, Inquiry, and Distinctive Experimentation (U-GLIDE) Symposium Programs

No abstract provided.

(R2097) Impact Of Inclined Magnetic Field On Two Immiscible Viscous Fluids Flow In A Porous Channel With Variable Permeability: A Finite Difference Technique, Angad Prasad, P. K. Singh

Applications and Applied Mathematics: An International Journal (AAM)

This paper is concerned with the flow of two immiscible, viscous, incompressible, and electrically conducting fluids in a horizontal channel containing a porous material under an inclined magnetic field. The flow is propelled by a consistent pressure gradient. These two fluids have different viscosities in two separate layers of equal width. The fluid in the upper layer has a lower viscosity compared to the fluid in the lower layer. The Permeability of a porous medium is variable with the transverse direction. The Brinkman equation is employed to describe fluid flow within a porous medium. Numerical solutions for velocity and volumetric …

(R2117) Cost Optimization Of Queueing System With Differentiated Vacations And Reneging Of Customers, Poonam Gupta, Rajni Gupta

Applications and Applied Mathematics: An International Journal (AAM)

This manuscript deals with an infinite-capacity queueing system under multiple differentiated working vacations and customers’ impatience. The first vacation is assumed to be a working vacation where the server, instead of being idle, serves the customers at a lower rate. In contrast, the second one is considered a non-working vacation of a different duration. The customers may leave the system at any time due to long delays in service during vacations but, via some convincing mechanisms, they are retained in the system. The operating characteristics of the system are obtained in a steady state. The results obtained are illustrated numerically …

Feasibility Analysis On Bluff Body Wake Detection Via Cost-Effective Sensors And State And Parameter Estimation Techniques, Patrick Michael Close

Master's Theses and Capstones

This thesis investigates the feasibility of using Uncrewed Aerial Vehicles (UAVs) and existing state estimation techniques for detecting aerodynamic wakes around bluff bodies. Aerodynamic wakes are complex, turbulent flow regions created by obstacles. Accurately measuring these wakes is crucial for applications such as optimizing wind energy production, improving aircraft safety, and enhancing atmospheric research. Traditional measurement methods, such as ground-based sensors or piloted aircraft, have significant limitations, including restricted spatial coverage and high operational costs. UAVs, with their versatility and cost-effectiveness, present an alternative approach to measuring wakes in challenging environments.

This research focuses on three state estimation techniques: the …

Timigp: A Computational Framework To Determine The Tumor Immune Microenvironment Associated With Prognosis And Immunotherapy Response, Chenyang Li

Dissertations and Theses (Open Access)

Accumulating evidence has suggested that the tumor immune microenvironment (TIME) drastically impacts cancer patients’ clinical outcomes, including prognosis and immunotherapy response. However, understanding TIME remains challenging due to its complexity and heterogeneity. In this dissertation, we introduce TimiGP (Tumor Immune Microenvironment Illustration based on Gene Pairs), a computational framework designed to address this challenge. Leveraging single-cell RNA-seq (scRNA-seq) and bulk gene expression data alongside clinical information, TimiGP constructs a cell-cell interaction network that elucidates the relationship between immune cell function and relevant clinical outcomes, such as prognosis and treatment response. With immunological insights, these cell-cell interactions also facilitate the development …

The Role Of Wt1 In Müllerian Duct Development, Jace Aloway

Dissertations and Theses (Open Access)

WT1 is a zinc finger transcription factor widely expressed in the urogenital system. Human mutations of WT1 lead to pediatric nephroblastoma as well as frequent differences of sex development (DSDs). Previous studies have suggested that WT1 acts as an activator for Amhr2, a necessary component of typical male differentiation. We used the mouse as a model to investigate the role of WT1 in sex development, where we deleted Wt1 in the Müllerian duct (MD) mesenchyme using a novel conditional null reporter allele, Wt1 flox-RFP. This allele utilizes the Cre-lox system to delete exons 8 and 9 of Wt1 …

When Is It Convenient For Indigenous Women To Influence State Policies?, Alaide Vences Estudillo, Norma Don Juan Pérez, Patricia Torres Sandoval, Fabiola Del Jurado Mendoza

Peace and Conflict Studies

This paper examines the difficulties that a network of Indigenous women in Mexico deal with when they seek peace for their people under a hybrid political structure. This paper discusses some distinctive aspects of the politics that these women engage in, how they conceive their political ideas, and how they use these ideas to structurally transform the colonial relationship that the liberal state maintains toward their people. They devise various strategies to influence state policies and to withstand the discrimination they face whenever they participate in democratic affairs.

Don't Waste Heat! Innovations In Energy Conversion And Conservation From The London Tube, Noah Hamaoui

The Synapse: Intercollegiate science magazine

No abstract provided.

Ai Or Student Writing? Analyzing The Situational And Linguistic Characteristics Of Undergraduate Student Writing And Ai-Generated Assignments, Larissa Goulart, Marine Laísa Matte, Alanna Mendoza, Lee Alvarado, Ingrid Veloso

Department of Linguistics Faculty Scholarship and Creative Works

Since the release of OpenAI's ChatGPT, universities have faced the issue of whether there is still a place for written assignments in higher education. ChatGPT's capacity to mimic various written forms raises questions about the necessity of traditional assessments. Given this background, this study explores to what extent AI-generated assignments can replicate the situational and linguistic features of student-authored assignments. Using a corpus of undergraduate assignments from an English as a Foreign Language (EFL) context, we compare student responses with ChatGPT's outputs. Employing a register approach, we analyze the situational and linguistic characteristics of texts across three different registers—essays, critiques, …

Machinability Characteristics Study On Hibiscus Rosa-Sinensis Reinforced Polymer Composites Using Soft Computing Techniques, Sawan Shetty, Raviraj Shetty, Rajesh Nayak, J. P. Supriya

Open Access archive

Understanding the drilling behaviour of composite materials is crucial for optimizing their manufacturing processes and enhancing their applicability across various industries. In this study, the drilling process of Hibiscus Rosa-Sinensis Polymer matrix composites is investigated due to the significance of investigating such advanced and sustainable composite materials for their potential applications. Hibiscus Rosa-Sinensis Fibers are extracted and processed from the outer bark of the hibiscus plant, are incorporated into polymer matrices in varying weight percentages (0 Wt%, 10 Wt%, 20 Wt%) to form discontinuously reinforced polymer composites. Samples with uniform dimensions of 150 × 75 × 15 mm, are used …

Iot And Smart Sensors For Remote Sensing Healthcare And Agriculture Applications, Vijayalaxmi Kadrolli, Gauri Kalnoor

Open Access archive

In order to better serve patients and make better decisions, the healthcare industry is always adapting to incorporate new technology. In this in-depth analysis, we look at how geographic information systems (GIS) and remote sensing (RS) have revolutionised contemporary medicine. Improving healthcare planning, illness management, and environmental health evaluation are just a few of the many potential outcomes of integrating remote sensing and GIS, two technologies that can gather data from great distances and then analyze it spatially. We explore the many facets of SR and GIS in health care in this paper. To guarantee the inclusion and relevance of …