Digital Commons Network^™

Large Language Model Utilization For Speech-Based Culinary Recommendation System In The Indonesian Language, Mohammad Mauludin, Joan Santoso, Hartarto Junaedi

Bulletin of Culinary Art and Hospitality

This study presents the development of a conversational culinary recommendation system in Indonesian using a Large Language Model (LLM). The system aims to generate personalized restaurant recommendations through natural language interaction while addressing the limited availability of Indonesian language conversational recommender systems. Data were collected from the online platform and enhanced with synthetic conversational data to train the model’s dialogue understanding and reasoning capabilities. The proposed architecture consists of four main components: Input/Output, Recommender Agent, Tools, and Memory, which collaborate to process user input, retrieve relevant restaurant information, and generate contextually appropriate responses. The Mistral 7B model was fine-tuned using …

Estoppel Without Regard To Equity? The Puzzling Omission Of Promissory Estoppel’S Inequity Condition In Canada, Marcus Moore

All Faculty Publications

Promissory estoppel plays an important role in enabling the enforcement of promises not made for consideration in cases where the promise was intended to and did induce a party to change its position in regard to preexisting legal rights. However, Canadian law on estoppel has been plagued by confusion and misunderstanding. This article addresses the internationally notable absence of an inequity requirement from promissory estoppel in Canada. The requirement’s absence is peculiar, in that estoppel’s very foundation is in equity, and it must assure that its effect is indeed equitable. Drawing on the Supreme Court of Canada’s decision in Trial …

Investigating The Regulatory Impact Of Non-Coding Rnas On Meis1, Salma Fahim

Theses and Dissertations

Myeloid ecotropic virus insertion site 1 (MEIS1) is a transcription factor involved in a myriad of functions such as hematopoiesis, cardiac regeneration, cell cycle progression, cell proliferation, and limb and organ development. Precise control of MEIS1 expression and function is essential for maintaining cellular homeostasis and preventing pathological conditions including cancer. Emerging evidence suggests that non-coding RNAs (ncRNAs) play a significant role in fine-tuning MEIS1 activity. Unmasking these regulatory mechanisms could provide potential therapeutic strategies for conditions where MEIS1 is aberrantly expressed. The present dissertation presents a comprehensive overview of current knowledge on MEIS1, synthesizing findings from the literature to …

A Comprehensive Review Of Dental Diseases Detection And Classification Based On Artificial Intelligence Techniques, Nermeen N. Noaman, Yasmin M. Alsakar, Naira E. Elazab, Waleed M. Mohamed, Mohamed E. Ezzat, Mohammed M. Elmogy

Mansoura Engineering Journal

In dentistry, many diseases, such as gum, cavities, and oral cancer, affect people of all ages. Early treatment and diagnosis are crucial for minimizing dental diseases' effect on overall health and saving money in the long run. Traditional dental diagnosis methods, such as manual probing and visual inspection, are time-consuming and can be subject to human errors. Hence, a computer-aided diagnosis system based on computer vision and artificial intelligence (AI) techniques is needed. The considerable progress in computer vision and AI techniques offers many possibilities in dental diagnosis based on dental X-ray imaging modalities. Dental X-rays are used to diagnose …

Geolocation Algorithms And On-Orbit Calibration For Atmospheric Waves Experiment, Eric Mckinney, Keith Blonquist, Zack Hatfield, Connor Waite, Brooke Wursten, Pedro Sevilla, Ludger Scherliess, Harri Latvakoski, Greg Cantwell

Space Dynamics Laboratory Publications

1 - Overview

• Motivation: Atmospheric gravity waves can degrade navigation, tracking, communications, and geolocation system signals. They can also affect satellite/debris orbit and reentry predictions.
• NASA's Atmospheric Waves Experiment (AWE) is currently on ISS measuring atmospheric gravity waves in the OH airglow layer at ~87 km altitude
• Impact: Improved space weather understanding, estimation, and forecasting

The Role Of Dust Inputs And Sediment Phosphorus Diffusion Into Utah Lake, Utah, United States Of America, Kristen E. Smith

Theses and Dissertations

Human activities have led to excessive nutrient enrichment which is greater than lake systems can naturally assimilate. This process is known as eutrophication and it is driving significant algae growth resulting in the more common release of harmful toxins. Utah Lake, located in Utah County, UT is one such water body that even after major reductions in anthropogenic phosphorus influent, continues to experience frequent, harmful algal blooms. The extent to which natural processes, like atmospheric dust deposition and sediment recycling, contribute to the lake's phosphorus budget is still poorly understood.

To address this gap of knowledge, this study quantified phosphorus …

Spatial Conversations: Opportunities To Share Geographic Knowledge, L. Jesse Rouse, Barbara L. Maclennan, Susan J. Bergeron, H. Franklin Lafone

Anthropology and Geography

For more than twenty years geographers have taken advantage of “new media” to share information, make connections, and expand the “spatial conversation.” As blogs opened the door for informal self-publishing and communicating about narrow, focused topic areas, geographers began to use emerging media platforms to present ideas to a broader audience, more quickly and interactively, as new data and technologies became available. Audio podcasts and videos broadened the platforms for dissemination and provide a greater level of immersion through digital media. Between the open publishing and subscription opportunities, and interaction provided through comments and social media engagement, a dialectic was …

Cmsi Translations #25: A New Pillar For Distant Oceans: Concepts For The Chinese Navy's New Generation Of General-Purpose Destroyers, Ying Tian

CMSI Translations

A recent unconfirmed rumor about the Chinese Navy developing a new general-purpose guidedmissile destroyer has stirred debate online. Many commenters argue that the Type 055 already offers exceptional capability across air defense, missile defense, anti-ship, anti-submarine, and general warfare roles, and is more than capable of meeting current mission needs. But because it’s expensive to build, it is not practical to produce in large numbers or to use for routine tasks, so it will likely remain a smaller part of the fleet. In contrast, the more affordable Type 052D class is limited by its size and displacement, which restricts how …

Midweek Memo, Georgia Southern University

Midweek Memo

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Understanding Pancreatic Islet Stress Responses And Developing Strategies To Improve Transplantation Grafts, Marlie Maria Maestas

Arts & Sciences Graduate Student Theses and Dissertations

Diabetes mellitus is a chronic metabolic disorder affecting millions worldwide, characterized by hyperglycemia resulting from defects in insulin secretion or action. While current treatments range from pharmacotherapy to experimental cell-based therapies, progress remains hampered by donor scarcity and an incomplete understanding of islet stress responses. This dissertation investigates cellular stress responses in pancreatic islets and strategies to improve stem cell-derived islet (SC-islet) transplantation. The first chapter provides an overview of diabetes pathophysiology, modeling approaches, and treatment options. In the second chapter, we use single-cell RNA sequencing to investigate cell-type-specific responses to diabetes-associated stress in primary human islets exposed to endoplasmic …

Sustainability Strategies For Independent, Quick-Service Restaurant Businesses To Survive Beyond 5 Years, Winston Daniel Pauley

Walden Dissertations and Doctoral Studies

Independent quick-service restaurant owners face challenges sustaining their businesses beyond 5 years of operation. Many independent quick-service restaurant owners are concerned about maintaining sustainable business operations, as failure can negatively affect owners, employees, and the communities they serve. Grounded in the resourcebased view theory, the purpose of this qualitative pragmatic inquiry project was to explore the successful sustainability strategies that quick-service restaurant owners used to survive beyond 5 years. The participants were six independent, quick-service restaurant owners operating in the state of Maryland who employed effective sustainability strategies to survive for more than 5 years. Data were collected using semistructured …

Teachers’ Perceptions Of Employer-Provided Afterschool Childcare As A Retention Strategy: A Herzberg-Informed Qualitative Case Study, Lakinsha R. Swinton

Walden Dissertations and Doctoral Studies

Teacher retention has been a growing issue, as the rate of teacher vacancies has continued to increase after the COVID-19 pandemic. The increase in teacher vacancies after the pandemic highlighted the importance of retaining and attracting highly qualified teachers for schools and school districts. A coastal South Carolina school district had been providing employee support services to retain current staff and create a competitive advantage over other school districts in attracting new staff. The purpose of this generic qualitative study is to examine the perception of classroom teachers regarding the efficacy of free afterschool childcare as an employee support service …

Rapid Detection Of Chicken Residues On Poultry Plant Surfaces Using Color And Fluorescence Spectrometry, Clark Griscom, Dongyi Wang, Corliss A. O'Bryan, Rimmo Room, Philip G. Crandall

Food Science Faculty Publications and Presentations

Color and fluorescence spectrometry were evaluated as rapid, objective tools for verifying the cleanliness of poultry-processing food-contacting surfaces contaminated with a model chicken solution across six common materials. Both techniques detected chicken residues at dilutions several orders of magnitude below human visual and olfactory thresholds, with stainless steel and blue plastic yielding the largest color differences between clean and contaminated states and fluorescence measurements remaining highly sensitive on all tested surfaces. Representative limits of detection were on the order of 1:50-1:100 dilution of chicken residue for color measurements on most surfaces and approximately 1:50 for fluorescence measurements, compared with human …

Lithium–Sulfur Batteries: 3d Printed Tools And Assembly Techniques For Repeatable Lab-Scale Coin Cell Manufacturing, Daryl Miranda, Tosif Aliyev, Lamija Kovacevic, Sivapriya Voleti, Jaydie Lee, Kathleen Meehan, Monica C. So, Philip T. Dirlam

Faculty Research, Scholarly, and Creative Activity

The coin cell form factor has become a standard in energy storage research owing to its relatively low cost, low quantity of requisite electroactive material, fast experimental turnover, and capability to generate publishable quality data. Coin cell assembly at the lab-scale requires precise manual alignment of the many internal components of a cell to yield a properly functioning device. Truly repeatable device assembly presents a significant challenge to the acquisition of reliable data. In this report, we present a three-dimensional (3D) printable design for a coin cell alignment device and describe techniques for a generalized workflow to achieve reproducible coin …

Evaluating Traffic Safety And Geometric Characteristics Using Machine Learning Ensemble Techniques: A Case Study Of Egyptian Rural Multi-Lane Divided Roads, Sania R. Elagamy, Ahmed N. Awaad, Usama E. Shahdah, Sherif M. El-Badawy, Marwa E. Elbany, Eman K. Ali

Mansoura Engineering Journal

Crash prediction models are essential for evaluating traffic safety by analyzing crash occurrence, frequency, or severity. Recently, machine learning techniques have gained prominence in statistical regression modeling and data analysis. This study assesses the effectiveness of machine learning in predicting crashes on Egyptian rural multi-lane divided roads using limited regional data. Supervised machine learning ensemble techniques were applied to predict crash-prone segments (classification) and estimate the total number of crashes per segment (regression). A comparative analysis aims to identify the most suitable method. The Synthetic Minority Oversampling Technique (SMOTE) addressed data imbalance, while K-means Clustering (KC) enhanced regression model accuracy, …

Framework For Process-Aware Cyber-Physical Security Monitoring, Detection, Triage, And Response, Moath Sakaji

Defensive Publications Series

This disclosure describes techniques of process-aware cyber-physical security in an operational technology (OT) environment. Time-series process data is ingested from a secure replica of a process historian and IT security data. A cyber-physical context engine (CPCE) includes a library of machine learning models each trained for a specific operational state. The CPCE analyzes the process data to detect physical anomalies. Physical anomalies are correlated with IT security data to identify cyber-physical attack patterns. An incident response module enforces a safety-gated, collaborative workflow between security analysts and plant operators, prioritizing physical process stability. A generative AI-assisted workflow enables human analysts to …

Ai Context Automaton – Extended Architecture For Compliance-Aware Local Memory And Environmental Optimisation, David R P Chiesa

Defensive Publications Series

AI Context Automaton introduces a dual-AI architecture that transforms stateless AI interactions into a stateful, compliance-aware, and environmentally optimised workflow. The system combines a local AI for memory management and compliance enforcement with a cloud-based AI for reasoning, leveraging a markdown-based knowledge base for persistent storage. By offloading memory operations and compliance checks to local devices, the architecture minimises repeated cloud compute cycles, reducing energy consumption, carbon footprint, and operational costs while ensuring adherence to organisational governance standards.

The Singlet Scalar State In A Chiral Ensemble In $Su(2)$ With Two Fundamental Flavours, Laurence Bowes, Vincent Drach, Patrick Fritzsch, Sofie Martins, Antonio Rago, Fernando Romero-Lopez

School of Engineering, Computing and Mathematics

Composite Higgs models are a class of Beyond the Standard Model (BSM) models proposed to address the hierarchy and naturalness problems associated with the Standard Model (SM) Higgs. A new QCD-like strongly interacting sector based on SU(2) with two fundamental flavours can be used to build a composite Higgs model which is not yet ruled out by experiment. The role of the singlet scalar resonance will affect Higgs phenomenology at the LHC. In this project our goal is to understand the properties of the singlet scalar state in the new strongly interacting sector in isolation as a first step to …

Attitudes And Perception Of Lis Students Towards Artificial Intelligence(Ai), Shahzadi Humbhi, Shabbir Tareen, Alia Humbhi

Library Philosophy and Practice (e-journal)

Artificial Intelligence refers to computer systems that can think and behave like humans. It is becoming essential in the education system as it has the potential to transform the way of teaching and learning in an academic environment. Therefore, the current study aims to investigate LIS students' attitudes and perceptions of AI, as well as how these technologies benefit their academic performance. The study also identified barriers that LIS students confront when adopting AI tools. For this purpose, a survey questionnaire was designed to assess students' knowledge and attitudes concerning AI, as well as its applications to improve academic performance. …

Hybrid Machine And Deep Learning Framework For Secure Fog-Based Vanets, Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

As a conventional implementation of intelligent transportation systems (ITS), a Vehicular Ad-hoc Network (VANET) facilitates smart communication between vehicle nodes and network infrastructures. Nevertheless, the distributed and dynamic characteristics of VANETs make them vulnerable to numerous cyberattacks like DOS and spoofing. Rapid detection of these threats is crucial. It is essential to respond promptly to mitigate threats before they impact vehicle coordination or infrastructure functionality. In this context, fog computing presents an effective solution. Transferring computational tasks from centralized cloud servers to fog nodes allows for quicker detection within the VANET environment. This research utilizes computational resources for swift and …

Integration Of Algae In Buildings: Challenges And Opportunities, Marwa Said Saad, Mostafa Refaat, Ashraf Nessim

Mansoura Engineering Journal

Buildings produce 40% of energy-associated CO2 emissions and 35% of worldwide energy use which makes it one of the main factors of global warming. The use of bioactive materials on building façades is a creative way to address the aforementioned problems. The biotechnical potential of microalgae architecture to achieve net-zero energy architecture while simultaneously advancing ecological sustainability and occupant well-being has drawn attention. This paper aims to analyzing and investigating techniques of integration of algae in architecture showing the challenges and opportunities of this implementation. Analytical and Comparative analytical method were used in this paper, Initially, a thorough literature review …

Integrating Multimodal Analysis For Chemical Detection In Victorian Bookcloth: Correlations, Advantages, And Limitations, Leila Ais, Abigail L. Hoermann, Jafer Aljorani

Student Scholar Symposium

The detection of heavy metals in Victorian textiles presents a set of unique analytical challenges that cannot be addressed through usage of a single modality. Here, we detail a novel multimodal analytical approach that integrates distinct yet complementary instrumentation: inductively coupled plasma-optical emission spectroscopy (ICP-OES) offering precise quantitative elemental analysis, portable X-ray fluorescence (pXRF) enabling rapid, affordable, and non-destructive detection, electron dispersive spectroscopy – scanning electron microscopy (EDS-SEM) mapping elemental distributions and sample topography, and X-ray diffraction (XRD) revealing crystalline structures. This comparative study highlights the strengths and limitations of each analytical technique, demonstrating how their combined use provides a …

Evaluating The Impact Of Precast Vs. Cast-In-Place Concrete: A Life Cycle Assessment Of A Parking Garage In Nashville, Robert Trey Owen

Student Scholar Symposium

Concrete is one of the most widely used building materials in the construction industry, generating $64 billion in revenue, according to the Concrete Financial Insights Index. Given the material’s extensive use, construction professionals seek ways to optimize construction project budgets and schedules. Precast concrete, which is manufactured offsite and then transported to the project when needed, is a potential solution for these goals. This research aims to quantify the benefits of precast concrete over typical cast-in-place methods using a life cycle analysis for a parking garage structure located in Nashville Tennessee.

The data for the two materials will be compared …

Making Robotic Reinforcement Learning More Efficient: Analyzing The Serl Framework, Faris Jugovic, Cleiver Ruiz-Martinez, Ryan Vander Stelt

Student Scholar Symposium

Teaching robots through reinforcement learning (RL) has made great progress, but real-world training is still difficult. Robots need lots of practice to learn, rewards can be hard to define, and resetting the environment after each attempt is often a challenge. The Sample-Efficient Robotic Reinforcement Learning (SERL) framework helps solve these issues by offering a ready-to-use, open-source software package that makes RL more practical for real-world robotics.

This project explores SERL and how it improves robotic RL by making learning faster and more efficient. SERL includes smarter ways to reuse training data, automatic methods for understanding rewards from images, and a …

Improving Home Affordability In Greater Nashville Through Construction Efficiency And Innovations, Nate Mclain

Student Scholar Symposium

Engineering Greater Nashville Home Affordability

Long Term Financial Analysis For Opry Mills Hotel And Resort, Eli Lockert

Student Scholar Symposium

In 2024 a Lipscomb Senior Design team completed a design project for the Opryland Hotel. The project, aimed at reducing humidity levels in the large greenhouse-like atrium and overall power usage, included multiple phases and equipment. This research continues the work of that team in an effort to determine whether the proposed system is a cost-effective approach. The research specifically evaluates the system outlined in the Opryland Final Design Report, completed in April of 2024. Using a holistic approach, this study employs life-cycle cost analysis (LCCA) to assess the economic feasibility of the proposed system through various empirical methods. A …

Gamergate And The Woke Mind Virus, Gavin Graves

Undergraduate Research Symposium

This text concerns the formation of beliefs that would shape the 2014 harassment campaign of GamerGate. Specifically, how GamerGate was perpetuated by stereotypes and ideas in Geekdom that spanned from the 60’s Disco Demolition to the Internet’s Wild West that ended in 2013. These include ideas like simulated ethnicity, geek melodrama, nerd determinism, and nerd fatalism. It also discusses the views and beliefs on anonymity, critique, and social capitals of the Wild West Internet and how the changing views of these led to resentment that started the movement. Drawing from historical research, I studied the history of moral panics like …

Nazi Weapons: Bad People, Good Technology, Fabian Grabski

Undergraduate Research Symposium

This project explores the integration and historical significance of three iconic World War II-era German weapons: the V-2 rocket, the STG-44, and the MG-42. Each of these weapons helped revolutionized military technology in its own right, reshaping the battlefield dynamics and influencing future weapon design. The V-2 rocket, as one of the first long-range guided missiles, marked the dawn of modern missile technology, while the STG-44 is recognized as a precursor to the modern assault rifle, blending the characteristics of both submachine guns and rifles. The MG-42, with its high rate of fire and advanced design, set the standard for …

Pixel-Perfect Segmentation Of Solar Filaments, Jamie Harris

Undergraduate Research Symposium

The observation and classification of solar filaments has a drastic impact on the ability to predict solar-magnetic weather phenomena that threatens to put both satellite infrastructure and astronauts at risk. Using the Hɑ filter provided by the Global Oscillations Network Group (GONG), a network of six telescopes around the world dedicated to 24/7 surveillance of the sun, we are able to get images that clearly and prominently display filament activity. With the vast amount of images the GONG takes, it is not possible to manually analyze every image. Using the U-Net model for computer vision, we were able to train …

Face Value: A Computational Approach To Subjective Impressions Of Faces, Kevin Kpankou

Undergraduate Research Symposium

Various computational models of first impressions have been developed to uncover the mechanisms driving these judgments. However, the implicit notion of a singular ``human'' often overlooks meaningful individual differences in beliefs, attitudes, and associations, as well as culturally grounded group-level constructs. In this paper, we extend Cultural Consensus Theory (CCT) to estimate culturally shared beliefs about faces by incorporating latent constructs structured around interpretable facial features extracted via computer vision algorithms. We apply our model to a large-scale dataset of people’s first impressions of faces. Our approach reveals a robust mapping between facial features and culturally constructed impressions, allowing us …