Digital Commons Network^™

Value Co-Creation Through Digital Channels Influencing Purchase Intention In Confectionery Food Service Businesses, Maria Mikaela Joyce C. Sava, Marc Immanuel G. Isip, Maria Liezel C. Eusebio

Journal Article

This study introduces the concept of online co-creation as a probable resource-sharing strategy, which recognizes the evolving role of customers in the value chain. These customers provide valuable information that enhances knowledge and capabilities in the organization’s processes. Despite the growing interest in value co-creation in recent years, much remains to be explored on how it manifests in industry-specific and cultural contexts, specifically in the Philippine confectionery industry, which constitutes a significant sector that drives the foodservice industry in the country. The study tests a developed conceptual model that involves value co-creation and its influence on purchase intention; importantly, this …

Faculty Handbook, Georgia Southern University

Faculty Handbooks

No abstract provided.

Masculine Vs. Feminine Women: Verdict, Blame, And Punishment Outcomes In The Legal System, Alaina Helmerichs

College of Graduate Studies: Theses & Dissertations

It is commonly recognized that sentencing disparities exist between men and women who are accused of the same crime—with men often receiving harsher judgements than women. However, research explaining why this disparity exists is incomplete. Research suggests that higher levels of facial masculinity in men is tied to higher levels of criminality (Estrada-Reynolds et al., 2017); however, little research looks at this pattern amongst female defendants. The current study investigated whether the gendered appearance (masculine vs. feminine) of female defendants in different types of cases (child negligence vs. medical malpractice) affects mock jurors’ judgments about verdict, punishment, and internal blame …

What Is It Really: The Role Of Intergroup Threat In Educational Decision-Making, Kyle A. Walker

College of Graduate Studies: Theses & Dissertations

Perceptions of intergroup threat correlate with prejudice against Black Americans (Iyer, 2022). For example, White Americans tend to move out of communities they dominate when the population of Black Americans increases in those communities beyond a “tolerable” rate due to a perceived threat to the neighborhood's safety and resources; this phenomenon is known as White Flight (Grodzins, 1958; Zou & Cheryan, 2022). This exodus of White Americans predicts urban decay, which affects the public school systems in those areas, leading to poorer public services and higher dropout rates among those in the now racially segregated neighborhoods (Mayer & Jencks, 1989; …

Dungeons And Dragons™ (D&D) As A Brief Intervention For College Students, Alexander W. Peralta

College of Graduate Studies: Theses & Dissertations

This quasi-experimental study investigated the effect of a table-top roleplaying game (ttrpg), specifically Dungeons and Dragons™ (D&D), on increasing feelings of social connection, decreasing perceived stress, increasing self-esteem and improving adjustment to college among first semester, first year students. participants signed up to either the D&D group or the comparison group. D&D participants (n = 18) attended five one-hour weekly D&D sessions, meanwhile the comparison group (n = 10) went through their first semester of college with no intervention, but completed the study measures at the same points in time as the D&D participants. All participants completed measures of social …

Mathematical Modeling Of Coupled Heat And Mass Transfer In Metal-Hydride Hydrogen Storage Systems, Muhammad Hasnain

College of Graduate Studies: Theses & Dissertations

As a promising clean energy carrier hydrogen has recently gained significant interest, but its efficient and safe storage is a major challenge. Compared to the gaseous state and liquid state, metal hydrides (MH) offer a potentially more effective storage approach for hydrogen. However, the main challenge in this approach is the low thermal conductivity of the MH bed that leads to low heat transfer and ultimately to higher charging and discharging times. The purpose of this work is to develop an in-house comprehensive heat and mass transfer model for hydrogen sorption in MH reactors to simulate the dynamic behavior of …

2024 Georgia Southern University Women's Soccer Media Guide, Georgia Southern University

Women's Soccer Records

No abstract provided.

From Lived Experiences To Social Activism: Latino Fraternity Brothers Critical Service To The Latinx Community, Regina L. Suriel, James Martinez, Christian Bello Escobar, Jamie L. Workman

Journal of Higher Education & Student Affairs

Colleges and universities are seeing growth of Latinx students actively engaged in Greek life. In this study, six Latino participants share their testimonios as members of different Chapters of a Latinx Greek Letter Organization (LGLO) nestled within Predominantly White Institutions located in the state of Georgia, USA. Informed by LatCrit theory, this qualitative study uses member’s testimonios to shed light on their varied and sometimes politically charged and racist lived experiences. The researchers draw on these experiences to show how the LGLO supported these members’ character and leadership development and their desire and commitment to critical service and socially just …

From Private To Public: Lateral Transfer Student Experiences, Melissa P. Stough, Diane C. Elliott

Journal of Higher Education & Student Affairs

The phenomenon of student movement between higher education institutions has received considerable attention due to its widespread occurrence and impact on academic trajectories. While extensive research has focused on vertical transfer, such as transitions from community colleges to four-year institutions, less scrutiny has been directed towards lateral transfer, involving shifts between institutions at similar academic levels. This study aims to fill this gap by examining the factors influencing lateral transfer, specifically from private four-year colleges to public four-year institutions. The COVID-19 pandemic has heightened interest in this understudied area, with indications of increased lateral transfers in its aftermath. Leveraging data …

Digital Layout & Design, Saied Farisi

Syllabus Repository

No abstract provided.

Roundtable On Warhol V. Goldsmith: An Introduction To Warhol V. Goldsmith, Amy Adler, Lionel Bently, Susan Bielstein, Johanna Burton, Martha Buskirk, Noam M. Elcott, Jane Ginsburg, Branden W. Joseph, Joan Kee, Liz Linden, Rebecca Tushnet, Graeme Williams, Winnie Wong

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Vehicular Traffic Flow Prediction Via Decentralized Federated Meta-Learning, Andrew Selvia, Ankur Singh, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

Traffic flow prediction (TFP) has become a crucial problem for billions of people who rely on traffic predictions to optimize their travels every day. In this paper, we present a decentralized federated meta-learning (DFML) framework for traffic flow prediction. Within this framework, traffic detectors spread across a road system can form federations with nearby peers in order to predict traffic collaboratively. A node that assembles a federation assumes the role of receiver while the remainder are assigned as broadcasters. The broadcasters learn model parameters from local data and then broadcast those models to receivers, thereby enriching the available information from …

A Comparative Multivariate Analysis Of Var And Deep Learning-Based Models For Forecasting Volatile Time Series Data, Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

Faculty Research, Scholarly, and Creative Activity

The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), Simple Exponential Smoothing (SES), deep learning models, and, most notably, univariate Long Short-Term Memory (LSTM) built based on univariate variable where the next lag of time series is leveraged for forecasting the next cycle of data. This paper takes this line of research to the next level by focusing on forecasting time series data based on “multivariate” modeling and analysis. To have a better insight of the performance of various deep learning-based models when multivariate …

Tiktok As Social Communication Tool To Encourage Participation In Volunteering Projects, Belén Moreno-Albarracín, Tania Blanco-Sánchez

Faculty Research, Scholarly, and Creative Activity

Social media are regarded as tools of communication and social influence. Notwithstanding this, TikTok’s majority audience in 2023 is made up of members of generations Z and Alpha, associated in previous studies with a participatory crisis. Given this contradiction, a research question is proposed: do young people use TikTok to consolidate social values such as solidarity? To answer it, the main objective is to analyse the use of TikTok as an instrument for youth participation in volunteer projects. A mixed methodology is used, based on a content analysis of the 150 videos uploaded to TikTok with the hashtag #voluntariado and …

Cross-Cultural Adaptation Of The Voice-Related Experiences Of Nonbinary Individuals - Veni To Brazilian Portuguese, Isabela Dos Santos, Mara Behlau, Grace Shefcik, Pei Tzu Tsai, Vanessa Veis Ribeiro

Faculty Research, Scholarly, and Creative Activity

Purpose: This study aimed to translate and cross-culturally adapt the “Voice-related Experiences of Nonbinary Individuals” (VENI) to Brazilian Portuguese (BP). Methods: Cross-cultural adaptation was performed based on the combined guidelines of the World Health Organization’s (WHO) Translation Recommendations and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The process included five stages: a) Translation of the instrument into BP by a translator specialized in the construct and a non-specialist, both native BP speakers and fluent in English; b) Synthesis of the two translations by consensus; c) Back-translation by a translator specialized in the construct and a non-specialist, …

Enhancing Product Designing With The Help Of Artificial Intelligence, Dhyeykumar Nikalwala, Minnie H. Patel

Faculty Research, Scholarly, and Creative Activity

In the ever-changing world of Business, making a successful product design requires quickly trying out new ideas and listening to what users think. With the integration of Artificial Intelligence (AI), the process of rapidly generating content from existing data becomes easier, accelerating the creation of innovative product concepts. To use this cutting-edge technology to build novel products a framework is essential. The paper aims to propose a novel framework that caters to a customer-centric integration of AI in Product Design. The paper goes beyond theoretical explanation, implementing the framework to iteratively design 3 diverse products. The implementation also highlights the …

Incorporating Uas Traffic Management Into Wildland Firefighting Operations: Initial Findings Of Subject Matter Expert Interviews, Deborah L. Bakowski, Lynne Martin, Gil Dustin, Chris Mariano

Faculty Research, Scholarly, and Creative Activity

Uncrewed Aircraft Systems (UASs) are being utilized throughout the disaster and emergency response domain, including in wildland firefighting operations. While UASs can offer safety benefits in comparison to crewed aircraft, such as removing the human pilot from the vehicle so that they are not exposed to the same risks and the ability to operate in low-visibility conditions, they are not without tradeoffs. For example, it can be challenging for UAS pilots (UASPs) to build situation awareness of the airspace in which their UAS is operating. In order to address some of the challenges associated with using UASs and provide greater …

Resume Content Generation Using Llama 2 With Adapters, Navaneeth Sai Nidadavolu, William B. Andreopoulos

Faculty Research, Scholarly, and Creative Activity

This paper presents a novel approach to enhancing the Llama language model for generating customized resumes tailored to domain-specific job descriptions. Unlike traditional methods that rely heavily on extensive fine-tuning, we implement scalable adapter modules to minimize parameter adjustments. This approach preserves the model's inherent ability to generate coherent and contextually appropriate language across diverse tasks, ensuring that its general linguistic capabilities remain intact. Additionally, we employ a prompting strategy to dynamically create a diverse and comprehensive dataset, ensuring high relevance to various job roles. Using a dataset of 10,000 job descriptions and resumes, our approach resulted in a 20% …

Study Of Using Variational Quantum Linear Solver For Solving Poisson Equation, Nithin Reddy Govindugari, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is promising in speeding up the system of linear equations (SLE) solving process. However, its performance is limited by noise. The variational quantum linear solver (VQLS) algorithm is expected to be more resilient to noise than gate-based quantum computing algorithms. This is because error correction is not available yet and VQLS is based on cost function minimization. In this paper, the gate insulator Poisson equation is solved using VQLS. The results are compared to technology computer-aided design (TCAD) results and gate-based quantum algorithm results. We show that, even without error-free qubits, the IBM-Q quantum computer hardware can solve …

Tcad Structure Input File Generation Using Large Language Model, Le Minh Long Nguyen, Albert Lu, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

In this paper, we study the possibility of using Large Language Models (LLMs) to create Technology Computer-Aided-Design (TCAD) structure generation input files. LLMs are machine learning models trained on vast amounts of text data from the Web and are designed to understand, generate, and interact with humans through natural languages such as English. However, unlike programming languages with abundant training examples on the Web, TCAD examples are scarce. In this work, by using TCAD Sentaurus Structure Editor (SSE) as an example, 7000 nanowire data are generated to fine-tune open-source models (Llama 2 and 3) to obtain chatbots that can generate …

The Applicability Of Llms In Generating Textual Samples For Analysis Of Imbalanced Datasets, Saroj Gopali, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

In machine learning class imbalance is a pressing issue, where the model is biased towards the majority classes and underperforms in the minority classes. In textual data, the natural language processing (NLP) model bias significantly reduces overall accuracy, along with poor performance in minority classes. This paper investigates and compares the performance of transformer-based models, such as Multi-head Attention with the data levels and algorithmic levels approaches and BERT (Bidirectional Encoder Representations from Transformers) with LLM-based data augmentation. The research utilized the approaches, such as Random Over Sampler, Synthetic Minority Over-sampling Technique (SMOTE), SMOTEENN, data augmentation at word level, class …

The Role Of Paradata In Algorithmic Accountability, Ciaran B. Trace, James A. Hodges

Faculty Research, Scholarly, and Creative Activity

This chapter examines how the doings of the algorithm (instantiated through its operations, actions, and steps) and its accompanying algorithmic system are revealed and explored through an engagement with the paradata created as a part of this data-making effort. In doing so, the chapter explores how the concept of paradata helps us understand how information professionals and domain stakeholders conceptualize accountable algorithmic entities and how this influences how they emerge as documented and describable entities. Two complementary frameworks for capturing and preserving paradata for accountability purposes are examined in the process. The first is associated with diplomatic theory and archival …

Multi-Robot Source Seeking And Field Reconstruction Of Spatial-Temporal Varying Fields, Deepak Talwar, Thinh Lu, Divyam Sobti, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

To effectively respond to environmental disasters, real-time monitoring and pollution control rely heavily on the ability to estimate, predict, and reconstruct constantly changing environmental conditions across different locations. In this research, we develop a multi-robot source-seeking and field reconstruction framework that enables a multi-robot group to detect multiple sources within a spatial-temporal varying field and reconstruct the field in real time. The strategy consists of two parts: source seeking and field reconstruction. The source-seeking part features a gradient-based source-seeking controller that directs the multi-robot group toward local sources and a destination selection algorithm that navigates the multi-robot formation beyond the …

Ipeds Data Feedback Report, Georgia Southern University

IPEDS Feedback Reports

No abstract provided.

European Union Sanctions Impact On The Sector Stock Prices – The Ukrainian War Effect?, Patrycja Chodnicka, Piotr Jaworski, Marcin Kot

Journal of Banking and Financial Economics

The aim of this paper is to analyze the current impact of the implementation of the European Union sanctions related to the Ukrainian War on the abnormal rates of return on the stock prices of companies listed on the stock exchanges. It was hypothesized that the implementation of the European Union sanctions related to the Ukrainian War is causing the varied abnormal rates of return on the stock prices of companies listed on the stock exchanges, taking into consideration the type of sector and the geographical proximity to the military conflict. The analysis used panel data event studies prepared using …

Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch

Economics Faculty Research & Creative Works

The utilization of supplementary cementitious materials (SCMs) subjected to carbonation processing represents a viable strategy to mitigate anthropogenic CO₂ emissions associated with concrete production, potentially contributing to the achievement of carbon neutrality. However, existing studies have limitations in effectively predicting the varying carbonation capacities of different SCMs, a gap that this research aims to address. Recent research efforts focused on the carbonation of waste-material-sourced SCMs are reviewed, along with a comparative discussion on diverse carbonation methods. A detailed data set encapsulating the properties of SCMs, and carbonation configurations was compiled. At the same time, six ensemble learning models were …

Advance (Spring 2024), Georgia Southern Division Of Continuing And Professional Education

Division of Continuing & Professional Education

No abstract provided.

Jiann-Ping Hsu College Of Public Health Magazine, Georgia Southern University

College of Public Health: News & Publications

• Message from the Dean: Stuart H. Tedders, PhD
• JPHCOPH Research
• Our AHEC Work
• Passing the Torch: Mentor to Innovator
  • Dr. Joseph Telfair
  • Dr. Tilicia Mayo-Gamble
• The MHA is BACK
• Life After JPHCOPH
• College Milestones
• CAR: Center for Addiction Recovery
• CPHPR: Center for Public Health Practice & Research
• Office of Practice and Research: Continued Strong Funding for in FY 2024
• Eagles Talking about the Public's Health (ETAPH)
• Georgia Southern Student Scholars Symposium (GS4)
• Congratulations to our Students of the Year!

A Structure From Motion Photogrammetric Method For Continuously Measuring And Tracking The Deformations Of Soils During Triaxial Testing, Xiaolong Xia

Doctoral Dissertations

"Measuring soil deformation characteristics during triaxial testing is an important part of characterizing the stress-strain behavior of both saturated and unsaturated soils. The total and local deformations and volume changes of a soil specimen are indispensable parameters that need to be measured and are of great significance for understanding volume change and shear strength characteristics of the soil. Over the past several decades, numerous efforts have been made to measure the soil deformations during triaxial testing. However, it remains a great challenge for researchers to measure the volume-changes of unsaturated soils due to the existence of the air phase.

This …

Comprehensive Investigation Of Using Tire-Derived Aggregate In Chip Seal Subjected To Various Traffic And Environmental Conditions, Alireza Pourhassan

Doctoral Dissertations

"Chip seal is one of the most cost- and performance-effective pavement preservation treatments commonly used in the United States. Using crumb rubber obtained from scrap tires as a partial or full replacement for mineral aggregate has been proposed as a sustainable solution to reduce the negative environmental impacts of scrap tire accumulation and excessive consumption of natural resources. However, there was no data available regarding the performance of rubberized chip seal under traffic loads and environmental conditions. An extensive study using laboratory specimens and conditioning as well as field implementation and assessments were conducted to bridge this gap. Different traffic …