Physical Sciences and Mathematics Commons^™

Leveraging Gpt-4o For Automated Extraction Of Neural Projections From Scientific Literature, Rashmie Abeysinghe, Gorbachev Jowah, Licong Cui, Samden D Lhatoo, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Sudden Unexpected Death in Epilepsy (SUDEP) is a major cause of death for epilepsy patients having uncontrolled seizures. Understanding the complex neural circuits within the central nervous system is crucial for understanding the mechanisms underlying cardiorespiratory regulation, particularly in the context of SUDEP. This study explores the potential of GPT-4o, a cutting-edge language model, to automate the extraction of neural projections from scientific literature. We developed prompts to extract neuroscientific structures, extract projections, and perform synonym harmonization. Applying the approach to four neuroscientific articles, the method extracted 205 projections. A random sample of 100 projections identified was handed over to …

Depletion Of Adipose Stroma-Like Cancer-Associated Fibroblasts Potentiates Pancreatic Cancer Immunotherapy, Joseph Rupert, Alexes Daquinag, Yongmei Yu, Yulin Dai, Zhongming Zhao, Mikhail G Kolonin

Faculty, Staff and Student Publications

This study shows that populations of CAFs have distinct effects on pancreatic cancer progression and shows that depletion of CAFs expressing adipose markers potentiates tumor/metastasis suppression effects of immune checkpoint blockade.

Automated Infinite Combos Detection System For Collectible Card Game, Amornpong Trakarnkulphun

Chulalongkorn University Theses and Dissertations (Chula ETD)

In Collectible Card Games, resources management is one of the most effective strategy. However, there are some combinations of cards which produce unlimited resources called infinite combos. Too-cheap infinite combos that can be played early in the game break game environment, because the player who executes the combo immediately wins. To solve the problem, game designers usually restrict a part of the combos from being played. Due to the large number of cards in the card pool, it is difficult to search for these combos and solve this problem before a release date of a card set. This research aims …

Pipeline For Non-Self-Intersecting Racetrack Generation In Racing Games, Chatrtime Chatramornrat

Chulalongkorn University Theses and Dissertations (Chula ETD)

Procedural content generation (PCG) allows racing games to supply new racetracks automatically, but straightforward generators can produce layouts with unrealistically tight bends or self-crossings that compromise playability. This thesis introduces a racetrack generation pipeline that connects chain–code–based synthesis with a dedicated post-processing stage for resolving intersections. Candidate layouts are first assembled from image–based differential chain codes and adjusted so that each forms a closed loop. Regions where the centreline crosses itself are then identified and repaired by cutting and joining overlapping branches and applying locally constrained smoothing, so that the overall course geometry is kept intact. Finally, geometric descriptors such …

Gitcofl : Design And Implementation Of A Git-Based Federated Learning Framework Utilizing Container-Based Technology, Chokchai Faroongsarng

Chulalongkorn University Theses and Dissertations (Chula ETD)

The rapid proliferation of artificial intelligence (AI) necessitates training paradigms that are both robust and privacy-preserving. Traditional centralized federated learning (CFL) suffers from single points of failure and communication bottlenecks, while decentralized federated learning (DFL) introduces communication complexities and lacks integrated version control. This paper proposes GitCoFL, a novel framework that leverages Docker containers and a Git server as an independent, external medium for model weight communication and storage. This architecture provides inherent flexibility, enabling efficient operation in both CFL and DFL settings. Using CIFAR-10 benchmarks with MobileNet and using FedAvg for federation algorithms, GitCoFL achieves competitive F1 score when …

Quality Of Life Prediction For Driving Route Planning System Using Image Recognition And Deep Learning, Intouch Prakaisak

Chulalongkorn University Theses and Dissertations (Chula ETD)

Assessing travel-related Quality of Life (QoL) is a significant challenge due to its reliance on subjective human perception, which is difficult to measure. Traditional studies are often constrained by the limited scope of costly, manual data collection. The significant contribution of this research is the introduction of a new framework that can analyze tourist perception on a large and systematic scale. The novelty of this work lies in the utilization of Google Street View (GSV) as a large-scale visual data source, coupled with the use of a sequence-based model to analyze travel routes, which allows for the simulation of the …

A Benchmarking Study Of Grover's Algorithm For Solving Boolean Sat With Quantum Circuits, Jirapas Unison Jipipob

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study explores how well Grover's Algorithm performs in solving the Boolean Satisfiability Problem (SAT) using quantum circuits. The algorithm is implemented with IBM's Qiskit framework and compared to classical brute-force methods. Experiments focus on 3-SAT, 4-SAT, and 5-SAT problems, using quantum simulators and IBM quantum hardware. The results show that Grover's Algorithm is more efficient, offering a theoretical quadratic speedup over classical methods. However, practical issues like limited qubit availability, hardware noise, and optimization challenges impact its current performance. The data highlights the potential for quantum computing to scale and solve NP-complete problems. This research shows how quantum computing …

Out-Of-Domain Tuberculosis Detection From Chest X-Ray Images Using Meta Learning With Soft Labels, Kanokphat Jinanarong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Automated tuberculosis screening from chest x-ray images could greatly benefit regions with limited medical resources. However, currently available methods could not handle this problem well due to the difference in chest x-ray images in each region caused by the difference in machine and demographics, the possible noise in the available labels, and other reasons. We therefore propose a new machine learning algorithm that could detect tuberculosis with great accuracy on any other data sources by learning from completely different data sources. We used a model-agnostic meta-learning together with a soft label approach, utilizing the meta-gradient to dynamically adjust the soft …

Enhancing Large Language Models For Legal Question Answering : A Case Study On The Land And Building Tax Act In Thailand, Nattapat Tantapong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Thailand's Land and Buildings Tax Act requires interpreting multiple legal instruments. However, general-purpose large language models often produce answers that lack both accuracy and verifiable legal citations, which are essential for legal reasoning. This study investigates whether curriculum-structured fine-tuning enables small Thai-aligned models (8B parameters) to perform comparably to large commercial models. The research constructs a domain-specific corpus of 8,410 Q&A pairs with 30,612 hard-negative triplets, then evaluates four curriculum designs and four adapter ranks using retrieval completeness and answer quality metrics. The experimental results reveal two key findings. First, hard-negative retrieval training improves Multi-HitRate@5 by 2.6% and Multi-MRR@5 by …

Diffusion Model-Based Synthetic Image Augmentation For Enhancing Vehicle Detection Model Performance, Pawaris Parnphotong

Chulalongkorn University Theses and Dissertations (Chula ETD)

A critical challenge for modern object detection models is the significant performance degradation encountered in adverse weather or poor lighting conditions. This issue primarily stems from the imbalance of training datasets, which are predominantly composed of normal daytime scenes, resulting in reduced robustness when models face challenging scenarios. Although traditional data augmentation techniques exist, they are limited to pixel-level adjustments and inherently restricted in generating data diversity. Consequently, this research proposes an approach utilizing diffusion models to generate realistic synthetic images that simulate new atmospheric and environmental conditions. To maximize the efficiency of synthetic data generation, we investigated a crucial …

Large Language Model-Based Framework For Mental Health Support Conversation In Thai, Radchaneeporn Changpun

Chulalongkorn University Theses and Dissertations (Chula ETD)

As mental health support needs continue to rise in Thailand, access to professional care remains constrained. LLM-based chatbots present a scalable alternative, though most current systems are limited to single-turn, solution-focused interactions. This thesis introduces a Large Language Model-Based Framework for Mental Health Support Conversations in Thai, organizing dialogues around five fundamental mental health counseling stages: rapport building, problem identification, goal setting, working, and termination. Drawing from Person-Centered Therapy (PCT) and Acceptance and Commitment Therapy (ACT). The framework was assessed against three single-agent baseline models using LLM-simulated users, with positive user reaction rates evaluated by LLMs. Results demonstrated a 79.01% …

Music Generation Using Large Language Models : A Case Study On Traditional Thai Music, Sutusta Kunasorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study presents a framework for music generation using Large Language Models (LLMs), focusing on the creation of symbolic compositions in the style of traditional Thai music. The framework integrates prompting techniques, retrieval-augmented generation (RAG), and multi-agent collaboration to guide the model in producing melodies that reflect Thai musical characteristics. ABC notation is used as the primary representation, allowing LLMs to process musical structure in a text-based format. The system incorporates curated Thai musical examples and theoretical knowledge to support culturally informed generation, while multiple agents work together to compose, evaluate, and refine musical ideas using rubric-based criteria adapted from …

A Hybrid Hardware Modeling, Simulation, And Generation Framework : A Case Study Of Risc-V Out-Of-Order Superscalar Cpu Design, Tanawin Devaveja

Chulalongkorn University Theses and Dissertations (Chula ETD)

We present Kathryn, a novel framework that simplifies hardware design through a hybrid design flow and an integrated hybrid simulation approach. As specialized hardware demand grows, managing design complexity, precise control flow, and parallelism control remains challenging. Kathryn alleviates these issues by abstracting control logic and still maintaining designers’ cycle-accurate control ability. Moreover, Kathryn provides hardware-aggregation features, helping designers manage complex hardware component structures. As a result, in a simple RISC-V design, the model written in Kathryn shows a 2.6x reduction in lines of code compared to those of Verilog. [1] Moreover, in an Out-of-Order design, the model on Kathryn …

Endoplanar: Deformable Planar-Based Gaussian Splatting For Surgical Scene Reconstruction, Thatphum Paonim

Chulalongkorn University Theses and Dissertations (Chula ETD)

Precise modeling of deformable anatomical structures from stereoscopic endoscopic footage plays a critical role in advancing surgical guidance and robotic automation within image-assisted medical procedures. Recent advances in Gaussian splatting have demonstrated real-time visualization capabilities with notable quality on endoscopic data; however, traditional 3D Gaussian representations introduce volumetric artifacts that compromise geometric fidelity and depth accuracy. We address these challenges through EndoPlanar, a deformable planar Gaussian framework that projects volumetric primitives onto planar surfaces. This planar formulation facilitates bias-free depth calculation and normal vector derivation—capabilities that remain elusive with standard ellipsoidal representations. We further incorporate a regularization mechanism to ensure …

Advancing Voice Spoofing Detection In Thai : A Comprehensive Dataset And Performance Analysis On Speaking Styles And Channel Effects, Ticho Urai

Chulalongkorn University Theses and Dissertations (Chula ETD)

Voice authentication is increasingly used in applications such as banking and call center verification, but it faces serious risks from spoofed voices. Recent advances in text-to-speech (TTS) and voice cloning make it possible to generate highly natural fake speech, creating an urgent need for robust anti-spoofing systems. While most prior work focuses on English, little research addresses the Thai language. To fill this gap, we present the Chula Spoofed Speech (CSS) dataset, a large-scale Thai corpus containing 1.3M utterances of both bona fide and synthetic speech. The synthetic samples are generated using five state-of-the-art TTS systems from the same utterances …

Evaluation Of User Experience And Usability Of Organization Super App, Ananya Kumhan

Chulalongkorn University Theses and Dissertations (Chula ETD)

The digital transformation of organizations in Thailand has accelerated the development of internal systems that streamline workflows and improve accessibility to organizational information. Financial institutions, which operate with multiple fragmented systems, have increasingly adopted Enterprise SuperApps as a centralized platform that combines internal services such as corporate news, leave requests, employee directories, resource information, and meeting room reservations into a single application. However, usage statistics in several organizations indicate that continuous adoption remains relatively low. Many employees rely on alternative channels or use only selected features, reflecting challenges in user experience (UX) and usability. This study aims to evaluate the …

Partial Group Divisible 3-Designs, Apiwat Peereeyaphat

Chulalongkorn University Theses and Dissertations (Chula ETD)

We introduce a generalization of group divisible 3-designs, 3-GDDs, with two groups and two indices. A partial group divisible 3-design, 3-PGDD(gı + g2, k; A, (21, 112), is an ordered pair (GrU G2, B) where G, and G2 are disjoint finite sets called groups) of size g1 and 92, respectively; and B is a collection of k-subsets (called blocks) of G, UG, such that every 3-subset of G; occurs in exactly 1 blocks in B, and every i elements of G and j elements of G2 occur together in exactly Mig blocks in B for i. i € (1,2} and …

Removal Of Antibiotics Under Visible Light By Using C,N-Tio2 Incorporated Into Magnetite Mesoporous Silica Composites, Dwita Widyawati

Chulalongkorn University Theses and Dissertations (Chula ETD)

Water contamination, particularly from antibiotics such as ciprofloxacin, is a significant environmental challenge necessitating the development of new remediation solutions. A promising technique for eliminating CIP from the environment is photocatalysis. The synthesis of C,N-doped TiO2 embedded within magnetite mesoporous silica (MSI) composites is prepared to serve as a promising semiconductor catalyst for photodegradation under visible illumination. Tetrabutyl titanate (TBOT), glucose, and urea are used as precursors in the sol-gel synthesis process, which controls elemental ratios to produce a unique mesoporous composite material intended to improve antibiotic photodegradation in the presence of visible light. Comparisons showed significant differences between capped …

Assessment Of Rainfall Anomaly In Thailand Under Enso By Inception Time For Classification Model, Hazlamee Benjawong

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study provides a comprehensive assessment of rainfall over Thailand during the El Niño-Southern Oscillation (ENSO) event using 41 years of monthly data (1982-2022) from meteorological stations, including total rainfall, average temperature, average wind speed, and average wind direction. The data were processed using Python by estimating spatially dependent monthly variables using inverse distance weighting. Total rainfall during ENSO events lasting more than two years was estimated by calculating ZSI12and analyzing the variable's significance using an inception time for classification model. The spatial total rainfall estimation results show that the distribution of total rainfall for normal, El Niño, and La …

Effect Of Single Screw Extrusion Process Parameters On Gel Formation And Properties In Polycaprolactone Films, Kitthanya Ritthichai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research focuses on the production of polycaprolactone (PCL) films using the commercial grade CAPA 6800 through a continuous single-screw extrusion process. This method serves as an alternative to conventional solution-based film fabrication that requires solvents and chemical reagents. The effects of processing temperature (80–120 °C), screw design (mixing screw and plain screw), and extruder-barrel cooling system (water-cooled and air-cooled) on film quality, gel formation, thermal properties, and mechanical properties of PCL films were investigated. Based on the processing of high-purity PCL pellets, the results indicate that the processing temperature, screw design, and barrel-cooling system did not affect the chemical …

Blocfog : Enhanced Transactional Data Encryption Via Fog Computing And Blockchain, Leon Wirz

Chulalongkorn University Theses and Dissertations (Chula ETD)

Protecting Personally Identifiable Information (PII) in financial transactions presents ongoing challenges, particularly in achieving a balance between strong security, fine-grained access control, and system efficiency. Existing approaches often rely on complex cryptographic operations that strain end-user devices or lack the flexibility needed for decentralized environments. Although blockchain provides advantages such as auditability and tamper resistance, its use is often limited by high computational costs and latency. This research proposes an efficient and scalable access control framework that integrates Ciphertext-Policy Attribute-Based Encryption (CP-ABE) with a lightweight fog computing layer. The system is designed to offload heavy cryptographic tasks from end users …

Improving Chinese Hate Speech Detection With Bert-Fasttext Fusion And Bert-Bilstm Fusion, Methini Ma

Chulalongkorn University Theses and Dissertations (Chula ETD)

Hate speech detection is an essential technique in the online environment, especially on social media platforms. This technique helps to create a safer space and reduce the risk of real-world harm. In Chinese, this task is particularly challenging because of unique linguistic structures and the frequent use of indirect expressions, sarcasm, homophones, character variants, and abbreviations. This study investigates how to improve Chinese hate speech detection by combining BERT with FastText and BERT with BiLSTM. There are six model variants that are configured: frozen BERT and fine-tuned BERT, each further extended with either FastText sentence embeddings or a clause-level BiLSTM. …

Evaluation Of Soil Erosion In The Middle Yom River Basin, Passapong Paentong

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study aims to assess soil erosion in the Middle Yom River Basin and analyze the spatial relationships between erosion and its influencing factors using the Revised Universal Soil Loss Equation (RUSLE) in combination with Ordinary Least Squares (OLS) regression analysis. The analysis considers five principal RUSLE factors: rainfall erosivity (R), soil erodibility (K), topography (LS), cover management (C), and support practices (P), under both normal and heavy rainfall scenarios for the years 2010, 2015, and 2020. The results indicate that under normal rainfall conditions, most areas experienced low to moderate soil loss (0–5 tons/rai/year). Under heavy rainfall conditions, the …

Gel Based Sensing Platforms For Ammonia Detection, Patita Salee

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research focuses on the development of two biopolymer-based colorimetric platforms for ammonia detection in environmental water and gaseous samples. To detect ammonia in water samples, an agarose hydrogel membrane containing salicylate, hypochlorite, and sodium nitroprusside was incorporated into a flow analysis system to perform the Berthelot reaction within the gel. Ammonium in the sample was converted to monochloramine in an alkaline reagent stream, and its subsequent interaction with the sensing membrane yielded an indosalicylate blue chromophore, causing the gel to change from pale yellow to green–blue as the ammonia concentration increased. Under the optimal operating conditions, the method provided …

Comprehensive Analysis Of Environmental Particulate Matter: Chemical Composition And Microbial Assessment, Uyen T. L. Le

Theses and Dissertations (Comprehensive)

Rapid industrialization and population growth have contributed to a decline in air quality, with particulate matter (PM) posing particular concern. PM originates from both natural and human sources and often contains toxic chemicals and microorganisms, including potential pathogens. Inhalation of PM is linked to respiratory and cardiovascular diseases, underscoring the need to characterize better its chemical and biological composition in understudied region - Waterloo, Ontario, Canada. The present thesis is a culmination of three main parts. Part 1 will describe the use of the dithiothreitol (DTT) assay to quantify the oxidative potential of PM through DTT consumption of redox-active field …

Crime Modeling Using An Integrated Cnn–Lstm Architecture With Embedded Self-Excitation, Pawandeep Kaur

Theses and Dissertations (Comprehensive)

It is often assumed that natural phenomena occur randomly over time. However, careful analysis reveals that these events typically form some series or sequences and exhibit distinctive temporal patterns. These patterns are not exclusive to nature. They also appear in human activities, often studied under the concept of bursty human dynamics. The statistical methods analyzing bursty human dynamics not only capture overall trends or seasonality but also explore how past events influence future ones. It makes the analysis more realistic and the results more closely aligned with reality. Bursty human dynamics can be studied at two levels: the individual level …

Macroinvertebrate Communities And Food Web Structure In Tundra Streams Are Shaped By Substrate Size And Beaver Impoundments, Mathew K. Mervyn

Theses and Dissertations (Comprehensive)

North American beavers (Castor Canadensis) are expanding their range into the Arctic tundra as climate change drives earlier ice and snowmelt, and increased shrub cover. As ecosystem engineers, beavers build dams that alter water chemistry by creating impoundments within streams, trapping sediment and organic matter, and modifying nutrient cycling. This thesis evaluates how beaver impoundments interact with natural geomorphic variation in tundra streams and how impoundments affect tundra freshwater ecosystems in the western Canadian Arctic.

In Chapter 2, I compared water chemistry and benthic macroinvertebrate (BMI) community composition across 16 stream reaches, including those with and without beaver dams, with …

Integrating Indigenous Values And Community Strengths To Achieve Indigenous Food Sovereignty And Community Well-Being In The Ka’A’Gee Tu First Nation, Northwest Territories, Jennifer K. Temmer

Theses and Dissertations (Comprehensive)

Northern Indigenous communities face disproportionate impacts from interconnected challenges related to climate change, food security, health, and cultural preservation, that threaten traditional food systems and practices. While there is a growing recognition of the importance of community-driven solutions, existing frameworks fail to integrate Indigenous values and local priorities effectively. This research addresses this gap by exploring how the Ka’a’gee Tu First Nation (KTFN) is responding to these crises through climate change adaptation efforts focused on food system sustainability as a pathway to self-sufficiency and community well-being. To contribute to these efforts, this dissertation uses Participatory Action Research to facilitate community-driven …

Functional Design Of Dissymmetric Ligands For Coordination Systems, Kaitlyn R. Brown

Theses and Dissertations (Comprehensive)

Herein, the functional design of dissymmetric ligands for coordination systems is explored with a focus on their synthesis and structural characterization. The design strategy of these ligands incorporates the ability to coordinate both metal cations and anions along with a ligand site for other functionalization. Their synthesis, structural and other characterization, Hirshfeld surface analysis, and some metal-coordinated complexes are discussed. Chapter 1 introduces supramolecular and coordination chemistry, along with relevant literature that supports this research and outlines the thesis objective. Chapter 2 investigates the hydrogen bonding of a dissymmetric pyrimidine thioether ligand in its neutral form, water solvate, protonated nitrate …

Construction Techniques For Linear Realizations Of Multisets With Small Support, M. A. Ollis

Emerson Authors, Researchers, & Creators

The Buratti-Horak Rosa Conjecture is a problem in graph theory asking when we can find a Hamiltonian path in the complete graph that has various properties to do with edge lengths. In this paper, we use constructive methods to show that the conjecture is true for various parameter sets where it was previously unknown.