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Prediction Of Daily Outpatient Volume Using Ensemble Empirical Mode Decomposition And Long - Short Term Memory, During The Incident, Teeraphat Buengbongkoch Jan 2024

Prediction Of Daily Outpatient Volume Using Ensemble Empirical Mode Decomposition And Long - Short Term Memory, During The Incident, Teeraphat Buengbongkoch

Chulalongkorn University Theses and Dissertations (Chula ETD)

Effective hospital resource management is essential for controlling service costs and enhancing workforce efficiency, particularly during abnormal situations that cause sudden fluctuations in patient volumes. Hospitals often encounter difficulties in managing resources and predicting patient numbers due to uncertain and volatile data. Accurate patient volume predictions during such times can enable hospitals to allocate resources effectively, maintaining appropriate costs and optimizing workforce efficiency.This research presents a solution for predicting daily outpatient visits at a private hospital in Thailand during the COVID-19 outbreak, serving as a case study. The proposed method employs Ensemble Empirical Mode Decomposition (EEMD) to preprocess data by …

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Scene Cut Detection In Short Videos Using Pre-Processing Techniques And Convolutional Neural Networks, Nina Lawankowit Jan 2024

Scene Cut Detection In Short Videos Using Pre-Processing Techniques And Convolutional Neural Networks, Nina Lawankowit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study presents a comprehensive approach to scene cut detection in videos using a combination of frame extraction and a Convolutional Neural Network (VGG16 model) with a Color Histogram method to prevent raw video file reconstruction. The main dataset contains 167,490 frames collected from various users on TikTok for the scene cut detection model development. However, since this research utilizes a modular design that consists of data preparation, data pre-processing, and model implementation stages, it promotes efficient use of resources and guarantees data safety. The results demonstrate that the model performs excellently in recognizing scene cuts. Specifically, video frames with …

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Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill, Panuwat Koonmee Jan 2024

Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill, Panuwat Koonmee

Chulalongkorn University Theses and Dissertations (Chula ETD)

Landfills were used for the disposal of waste materials, but they could contribute to microplastic (MP) pollution. MPs waste had been released in landfills into the surrounding environment, contaminating soil and leachate collection pond. Although there were many reports that MPs could generate in leachate and soil samples from the landfill, it exists many blanks for the evolution of physical and chemical characteristics of MPs with different landfill age. In order to address the question of changing in the abundances and characteristics of MPs in different ages of landfill as potential sources of contamination and the efficacy of existing landfill …

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Tone Mapping Operator Based On Just Noticeable Difference Of Luminance, Kasidet Kanthong Jan 2024

Tone Mapping Operator Based On Just Noticeable Difference Of Luminance, Kasidet Kanthong

Chulalongkorn University Theses and Dissertations (Chula ETD)

A Tone Mapping Operator (TMO) is required to display High Dynamic Range (HDR) images on conventional displays. This thesis proposes a TMO that employs a quantization technique integrated with a Just Noticeable Difference (JND) model, which represents the human visual system's capability to discern variations in brightness. The performance of the proposed algorithm is evaluated by comparing it with that of five state-of-the-art TMOs. The evaluation is divided into two manners. First is an objective evaluation with the Tone Mapping Quality Index (TMQI) method, conducted with two HDR datasets: Reinhard including nine scenes, and Funt including 224 scenes. TMQI revealed …

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Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut Jan 2024

Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut

Chulalongkorn University Theses and Dissertations (Chula ETD)

Disinfection is crucial for protecting public health during wastewater reuse. Chlorination is a widely used disinfection method, but it also leads to the formation of disinfection byproducts (DBPs), which can pose environmental and health risks. Among these DBPs, haloacetonitriles (HANs), particularly dichloroacetonitrile (DCAN), are of significant concern due to their toxicity. This research investigated the relationship between microbiological and chemical risks associated with chlorination in secondary and tertiary wastewater treatment plants (WWTPs) in Bangkok. The study found that secondary wastewater (9.0-14.0 mg/L) required up to 10 times higher initial chlorine levels to achieve the same norovirus reduction levels (3-5 log …

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Extraction Of Lipid And Polysaccharides From Rambutan Seed Waste By Supercritical Carbon Dioxide And Subcritical Water, Kamonthip Nilmat Jan 2024

Extraction Of Lipid And Polysaccharides From Rambutan Seed Waste By Supercritical Carbon Dioxide And Subcritical Water, Kamonthip Nilmat

Chulalongkorn University Theses and Dissertations (Chula ETD)

The rambutan processing industry generates around 37,000–42,000 tons of seed waste each year, which holds potential for sustainable utilization. This study investigates the extraction of lipids and polysaccharides from rambutan seeds using green extraction technologies. Initial analysis revealed that rambutan seeds contain lipids 30.48%, lipids, 11.9%, carbohydrates 42%, fiber 6.6%, and ash 1.72%. Lipid extraction using supercritical CO2 with ethanol (SCCO2-EtOH) achieved higher phenolic content and antioxidant activity compared to Soxhlet extraction. After that, the defatted rambutan seeds underwent additional processing to extract polysaccharides by subcritical water extraction (SWE) and hot water extraction (HWE). Supercritical water extraction (SWE) at ideal …

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Enhancing Financial Market Predictions In Taiwan: A Hybrid Approach Of Traditional Analysis And Machine Learning Techniques, Tse Lin Liu Jan 2024

Enhancing Financial Market Predictions In Taiwan: A Hybrid Approach Of Traditional Analysis And Machine Learning Techniques, Tse Lin Liu

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the evolving landscape of financial markets, this study explores the predictive power of traditional panel regression and modern machine learning models, including Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Random Forest (RF), in forecasting stock returns in the Taiwanese market. Utilizing a dataset of 54 Taiwanese companies from 2015 to 2023, the research integrates financial ratios and machine learning algorithms to assess their effectiveness in predicting market trends. The findings reveal that traditional panel regression often outperforms machine learning models in terms of stability and consistency of returns, challenging the assumption that complex algorithms inherently provide superior …

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Egg Shape As A Generalized Radial Basis Function For Discard-After-Learn Method In Streaming Data, Warawut Nualplaud Jan 2024

Egg Shape As A Generalized Radial Basis Function For Discard-After-Learn Method In Streaming Data, Warawut Nualplaud

Chulalongkorn University Theses and Dissertations (Chula ETD)

Radial Basis Function is commonly used as the decision boundaries for supervised and unsupervised learning algorithms due to its simplicity. But the symmetric property of the circular or elliptic shapes could deteriorate the fitness of the boundaries when the distribution of the data is asymmetric, especially in the data stream processing where the distribution of the data is temporal.In this thesis, we propose a new 2-dimensional data capsule structure using Yamamoto’s egg function. This structure can adjust its shape to be symmetric (i.e., circular or elliptic) or asymmetric (i.e., egg-shaped) depending on the configuration of its parameters, allowing it to …

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Weight Shifting Based Pruning For Convolutional Neural Networks, Panuwat Threethanuchai Jan 2024

Weight Shifting Based Pruning For Convolutional Neural Networks, Panuwat Threethanuchai

Chulalongkorn University Theses and Dissertations (Chula ETD)

The paper presents an adaptation of the novel self-recovering technique known as weight shifting for application in the pruning of nodes from the fully-connected layers of convolutional neural networks. The proposed methodology involves a binary search strategy to identify the optimal subset of nodes for removal, facilitating efficient redistribution of node weights using the Moore-Penrose pseudo-inverse. The proposed methodology was evaluated by across multiple data sets, including CIFAR-100, Food101, Stanford Cars, and Flowers102. The experimental results demonstrated that the proposed methodology is able to maintain high accuracy and top-k categorical accuracy performance with minimal reductions even after pruning a significant …

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Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit Jan 2024

Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aims to expand the application of DHP in biological systems by employing it as a biosensor for detecting caspases, a family of protease enzymes linked to diseases like cancer and neurodegenerative disorders. In this study, DHP derivatives—BZD, Fmoc-Asp-NH-DHP, and zWEHD-NH-DHP—were synthesized and tested for their potential as protease sensors. Initial screening of BZD and Fmoc-Asp-NH-DHP with common proteases, including papain and bromelain, revealed no enzymatic activity. To facilitate in vitro analysis, caspase-1 enzyme was successfully purified using an E. coli BL21(DE3)pLysS expression system. Kinetic evaluation of zWEHD-NH-DHP demonstrated a Km value of 24 µM, confirming its potential as …

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Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana Jan 2024

Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana

Chulalongkorn University Theses and Dissertations (Chula ETD)

Poverty has been a serious problem for many countries throughout the world, particularly during the COVID-19 pandemic. Due to the pandemic, many people lost their jobs and encountered economic. Therefore, the government and policy planners need an effective strategy to improve the country's economy. An essential component of these strategies involves analyzing socio-economic indicators, a field extensively explored by statisticians, economists, and policymakers. In Thailand, methodologies such as the World Bank method, Empirical Bayes, and Hierarchical Bayes have been applied to tackle poverty. However, these approaches often overlook the integration of spatial information in their analyses. In this study, we …

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Flavor Extraction From Dried Lavender Flower Lavandula Angustifolia By Enfleurage Method And Its Application In Pasteurized Milk, Techin Chantarachai Jan 2024

Flavor Extraction From Dried Lavender Flower Lavandula Angustifolia By Enfleurage Method And Its Application In Pasteurized Milk, Techin Chantarachai

Chulalongkorn University Theses and Dissertations (Chula ETD)

Enfleurage is a technique that uses fat or oil as an adsorbent to extract essential oils and aromas from flowers. In this study, butter was used to adsorb the aroma from dried lavender flowers (Lavandula angustifolia). The aim of the study was to determine the optimal conditions for extracting the aroma from lavender flowers using the response surface methodology (RSM). The effects of temperature (40–65°C), extraction time (20–70 min), and the ratio of dried lavender flowers (15–27.6 g) to butter (200 g) on the linalool content and aroma liking scores were investigated. The study found that the optimal conditions were …

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Structural Analysis Of Thailand's Economy During The “Developmental Era” From 1957 To 1997 Using The Social Structure Of Accumulation Theory, Paworn Kiatyutthachart Jan 2024

Structural Analysis Of Thailand's Economy During The “Developmental Era” From 1957 To 1997 Using The Social Structure Of Accumulation Theory, Paworn Kiatyutthachart

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis tried to describe the progress of growth and recession of the Thai economy during the “developmental era” of the 1950s to 2000s. The main objective of this thesis is to find Thailand’s Social Structure of Accumulation, using it to trace back to the “critical junctures” and then describe the trajectory of Thailand’s economic development. The Social Structure of Accumulation is obtained by calculating the rate of profit to identify “long waves” of changes in the rate of profit, and also through documentary research of both primary and secondary sources to find a “set of structures” related to the …

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The Impact Of U.S. Monetary Policy Expectations On Emerging Market Sovereign Bonds, Qiaofang Chen Jan 2024

The Impact Of U.S. Monetary Policy Expectations On Emerging Market Sovereign Bonds, Qiaofang Chen

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study examines the spillover effects of U.S. monetary policy on sovereign bonds in emerging market economies (EMEs). It evaluates the influence of various phases of U.S. monetary policy, including quantitative easing (QE) and quantitative tightening (QT), on EME sovereign bond prices and yields. The analysis pays special attention to differences in the impacts on bonds denominated in local currencies versus U.S. dollars. The results indicate that U.S. monetary policy significantly affects the prices of both USD- and local currency-denominated bonds in EMEs, except during the pre-unconventional monetary policy period. The adverse effects of U.S. monetary policy adjustments, particularly during …

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The Effects Of Ai On Export Cutoff For High-Tech Industries In China, Baobao Lou Jan 2024

The Effects Of Ai On Export Cutoff For High-Tech Industries In China, Baobao Lou

Chulalongkorn University Theses and Dissertations (Chula ETD)

Given the surge in Chinese high-tech exports from 2016 to 2021, this paper presents the first quantitative estimation of the export cutoff productivity for Chinese firms. It explores the impact of AI on export cutoff productivity at the firm level by applying text mining, the WLP method (2009), and the ROC method to 958 listed high-tech firms in China. The study finds that the export cutoff productivity threshold for Chinese high-tech industries significantly increased following the adoption of AI. This indicates that AI adoption raises the export cutoff. However, this paper also finds that AI’s adoption also improves the chance …

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Overview Of Music Interventions For Addressing Emotional Distress Among Stroke Patients: A Scoping Review, Xiuqi Shao Jan 2024

Overview Of Music Interventions For Addressing Emotional Distress Among Stroke Patients: A Scoping Review, Xiuqi Shao

Chulalongkorn University Theses and Dissertations (Chula ETD)

Stroke rehabilitation focuses more on restoring function and physical ability and often overlooks the prevalence of psychological symptoms. The prevalence of depression after stroke has been reported to be between 25 and 79 percent. In addition to depression, anxiety, fatigue and apathy are common symptoms after stroke, with a significant overlap in prevalence and symptoms. Music interventions have been reported to evoke and support emotional processes and facilitate engagement in physical movement, making them valuable for stroke rehabilitation. Many studies have investigated the effects of music interventions on negative emotions in stroke patients, but there is still a need for …

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The Development Of The Songkran Festival In Thailand: Balancing Tradition, Tourism, And Cultural Identity, Shiyuan Huang Jan 2024

The Development Of The Songkran Festival In Thailand: Balancing Tradition, Tourism, And Cultural Identity, Shiyuan Huang

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research paper examines the development of Thailand’s Songkran Festival over the past decade, with a focus on government policies and the festival's shifting cultural identity. Initially centered on tourism promotion and cultural preservation, Songkran has become part of Thailand’s soft power strategy by 2023, transforming from a local celebration into a global cultural event. The festival's format now features grand, entertainment-driven spectacles, such as the 2024 Maha Songkran World Water Festival, aiming to extend Thailand’s cultural influence internationally. The study further explores the social transformation of Songkran, which, while rooted in traditional values of family and community, has adapted …

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Genomic Analysis And Antimicrobial Resistance Of Vibrio Parahaemolyticus Isolated From Seawater At Bang Pu Recreational Center, Samut Prakan Province, Thailand, Chinnawat Assana Jan 2024

Genomic Analysis And Antimicrobial Resistance Of Vibrio Parahaemolyticus Isolated From Seawater At Bang Pu Recreational Center, Samut Prakan Province, Thailand, Chinnawat Assana

Chulalongkorn University Theses and Dissertations (Chula ETD)

Vibrio parahaemolyticus is a foodborne bacterium that is widely distributed in worldwide marine environments including seawater, marine animals, and soils. This study aimed to identify genetic and antimicrobial resistance (AMR) of V. parahaemolyticus (n=46) isolated from seawater at Bang Pu recreational center, Samut Prakan province, Thailand. Genetic analysis from multi-locus sequence typing (MLST) classified the seawater isolates into 42 sequence types (STs) in total, with 29 being novel STs and 13 STs matched with previously reported strains in worldwide including clinical strains (ST356, ST303, STST320, and ST1919) and environmental strains (ST222, ST1083, ST1089, ST969, ST2965, ST2249 and ST233). A phylogenetic …

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Effect Of Non-Thermal Plasma On Postharvest Quality Of Tomato, Aishwarya Pant Jan 2024

Effect Of Non-Thermal Plasma On Postharvest Quality Of Tomato, Aishwarya Pant

Chulalongkorn University Theses and Dissertations (Chula ETD)

Microbial attack is a major factor in fruit and vegetable deterioration. One non-thermal method that has shown promise in overcoming these limitations is cold plasma (CP) technology. This study evaluates the impact of dielectric barrier discharge (DBD) cold plasma treatment on the quality, shelf life, and disease incidence of tomatoes. This study was conducted in two stages in this research. Using argon as the working gas, tomatoes were subjected to CP treatment in the first stage for varied power levels (5–20 kV) and times (1–10 minutes). Over a 72-day period, non-destructive studies were conducted to determine disease incidence, marketability, and …

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Mass-Ratio-Convex-Combination-Of-Average-Absolute-Deviation-And-Interquartile-Range Based Outlier Factor For Anomaly Scoring, Zehong Fan Jan 2024

Mass-Ratio-Convex-Combination-Of-Average-Absolute-Deviation-And-Interquartile-Range Based Outlier Factor For Anomaly Scoring, Zehong Fan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Anomaly detection is increasingly essential across various sectors, including fraud detection, cybersecurity, and industrial process monitoring, where it serves as an early warning system to identify unusual patterns in data. This research presents a novel, parameter-free anomaly scoring algorithm designed to assign scores to data points without the need for user-defined parameters. The algorithm calculates anomaly scores based on the statistical dispersion of the mass-ratio distribution, utilizing five key measures: variance, range, interquartile range (IQR), average absolute deviation (AAD), and the combination of AAD and IQR. The performance of the proposed Mass-Ratio-Convex-Combination-Of-Average-Absoulte-Deviation-And-Interquartile-Range Based Outlier Factor for anomaly scoring algorithm called …

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Virtual Reality Of Labless Machining For Next Industrial Training, Ravee Bunduwongse Jan 2024

Virtual Reality Of Labless Machining For Next Industrial Training, Ravee Bunduwongse

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study aims to utilize Virtual Reality (VR) technology to develop an industrial training application with content focusing on Machining operation using lathe machine. The focus of the study is to present the content being taught in manufacturing laboratory classes about lathe machining operations in the virtual world. Development tools include Unity game engine and 3D modeling using Blender. Machining operations demonstrated within this application includes turning, facing, chamfering, grooving, internal and external threading. With 17 out of 18 operations represented in accordance to the actual teaching material, with only external threading deviating from applying threading using the lathe machine …

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A Panel Partial Break Model For Forecasting Stock Returns With Parameter Instability, Nuttapat Bumrungrat Jan 2024

A Panel Partial Break Model For Forecasting Stock Returns With Parameter Instability, Nuttapat Bumrungrat

Chulalongkorn University Theses and Dissertations (Chula ETD)

Predicting stock returns is one of the most fascinating problems in finance. However, predicting stock returns is also one of the most challenging problems due to the instability and noisy nature of stock returns. One of the promising directions to handle both problems is to use a panel break model. Recently, a panel common break model has been proposed and shown to generate superior predictive performance. However, the model assumes that every parameter breaks simultaneously, which is not aligned with empirical data. In this article, we propose a novel panel break model that addresses the main limitation of the common …

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Cross-Lingual Speech Emotion Recognition Using English And Mandarin On Thai Data, Kantapong Wonghirunruch Jan 2024

Cross-Lingual Speech Emotion Recognition Using English And Mandarin On Thai Data, Kantapong Wonghirunruch

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study explores the efficacy of cross-lingual Speech Emotion Recognition (SER) using Thai as a target language with training sets in English and Mandarin. The study evaluates the adaptability of SER models across linguistic boundaries, emphasizing the challenges and potential of leveraging well-resourced languages to enhance emotion recognition capabilities in a language with fewer resources. Through a series of experiments, the research investigates three primary aspects: the performance of same-corpus training within Thai, cross-lingual model application from English and Mandarin to Thai, and the effectiveness of transfer learning techniques in improving model accuracy. The findings indicate that Mandarin facilitates more …

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Option Pricing Based On A Stochastic Volatility With Co-Jump Model And Application In Thai Market, Lu Tang Jan 2024

Option Pricing Based On A Stochastic Volatility With Co-Jump Model And Application In Thai Market, Lu Tang

Chulalongkorn University Theses and Dissertations (Chula ETD)

The correlated jumps in returns and volatility serve different, but complementary purposes in studying asset dynamic properties. In this paper, we choose Heston’s square-root stochastic volatility model, simultaneously incorporating jumps in returns and volatility, and propose a closed-form solution for European call option pricing. Applied to SET50 index in Thailand stock market, comparisons between the stochastic volatility with co-jump (SVCJ) model and the classical stochastic volatility (Heston) model are made to emphasize the significance of contemporaneous jumps appeared in asset dynamics. Empirical research demonstrates the superiority of SVCJ model in both out-of-sample pricing and hedging performance.

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Biomarkers Of Comorbid Major Depression And Metabolic Syndrome: A Case-Control Study, Ketsupar Jirakran Jan 2024

Biomarkers Of Comorbid Major Depression And Metabolic Syndrome: A Case-Control Study, Ketsupar Jirakran

Chulalongkorn University Theses and Dissertations (Chula ETD)

Mood disorders, including major depressive disorder (MDD), are among the leading causes of disability worldwide. Major depressive disorder (MDD) and bipolar disorder (BD) often coexist with metabolic syndrome. Increased atherogenicity and a higher risk of cardiovascular diseases are associated with both conditions. This study aimed to determine whether (a) ACEs are significantly associated with the 5 BFI personality dimensions in patients with MDD; (b) increased neuroticism or lowered levels of the other personality dimensions are associated with the phenome of MDD including suicidal behaviors; and (c) the effects of ACEs on the phenome of MDD are mediated via increased neuroticism …

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การพัฒนาเครื่องมือปัญญาประดิษฐ์ช่วยตรวจสอบความถูกต้องตามกฎหมายของข้อมูลผลิตภัณฑ์เสริมอาหารบนแพลตฟอร์ม E-Commerce ในประเทศไทย, ชวลิน อินทร์ทอง Jan 2024

การพัฒนาเครื่องมือปัญญาประดิษฐ์ช่วยตรวจสอบความถูกต้องตามกฎหมายของข้อมูลผลิตภัณฑ์เสริมอาหารบนแพลตฟอร์ม E-Commerce ในประเทศไทย, ชวลิน อินทร์ทอง

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันแพลตฟอร์มพาณิชย์อิเล็กทรอนิกส์มีบทบาทสำคัญในระบบสุขภาพในด้านเป็นแหล่งข้อมูลและช่องทางการเข้าถึงผลิตภัณฑ์เสริมอาหารในกลุ่มผู้บริโภคไทย แต่ขณะเดียวกันกลับพบการกระทำผิดกฎหมายเป็นจำนวนมาก วัตถุประสงค์ เพื่อพัฒนาเครื่องมือปัญญาประดิษฐ์ช่วยตรวจสอบความถูกต้องตามกฎหมายของข้อมูลผลิตภัณฑ์เสริมอาหารบนแพลตฟอร์มพาณิชย์อิเล็กทรอนิกส์ในประเทศไทย ใช้รูปแบบการวิจัยแบบผสมผสาน มีกระบวนการ 3 ระยะ ระยะที่ 1 เป็นการพัฒนาต้นแบบปัญญาประดิษฐ์ช่วยตรวจสอบความถูกต้องตามกฎหมายของข้อมูลผลิตภัณฑ์เสริมอาหารบนแพลตฟอร์มพาณิชย์อิเล็กทรอนิกส์ ระยะที่ 2 เป็นการทดสอบความไวและความจำเพาะของต้นแบบ และระยะที่ 3 เป็นการศึกษาความเห็นของผู้ใช้งานเป้าหมายต่อการนำปัญญาประดิษฐ์ไปใช้งาน ผลการวิจัย ระยะที่ 1 พบความชุกของการกระทำผิดเกี่ยวกับการจำหน่ายผลิตภัณฑ์เสริมอาหารบนแพลตฟอร์มพาณิชย์อิเล็กทรอนิกส์ที่นิยมในประเทศไทยอยู่ที่ร้อยละ 84.6 ผู้มีส่วนได้ส่วนเสียหลักมีความเห็นในการพัฒนาต้นแบบว่าควรมีการจัดการที่มาของนวัตกรรมที่น่าเชื่อถือ การเชื่อมโยงการทำงานกับผู้ให้บริการ การออกแบบให้สามารถจำแนกความผิดและรวบรวมข้อมูลส่งกลับให้ผู้เกี่ยวข้องได้ เป็นการสร้างรายได้ การสร้างแรงกดดันทางสังคม และการนำเสนอคุณค่า ในระยะที่ 2 การทดสอบต้นแบบปัญญาประดิษฐ์มีค่าความไว ร้อยละ 56.4 และความจำเพาะ ร้อยละ 89.0 ส่วนระยะที่ 3 พบว่าตัวแทนองค์ผู้ใช้เป้าหมายให้ความสนใจปัญญาประดิษฐ์ อย่างไรก็ตามควรปรับปรุงให้การจำแนกความผิดมีความซับซ้อนลดลงแต่สอดคล้องกับการนำไปใช้งานมากขึ้น กลยุทธ์ที่ควรทำคือ การสื่อสารคุณค่าของปัญญาประดิษฐ์ในส่งเสริมการค้าเชิงสร้างสรรค์ และลดความเสี่ยงทางกฎหมายมากกว่าการบังคับเชิงกฎหมาย ซึ่งองค์ความรู้ที่ได้จากงานวิจัยสามารถนำไปเป็นแนวทางเพิ่มศักยภาพการคุ้มครองผู้บริโภคในยุคดิจิทัลได้

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Sugar Composition Of Thai Desserts And Gut Microbiome Profiles In Healthy Volunteers: A Randomized Controlled Trial, Sayamon Senaprom Jan 2024

Sugar Composition Of Thai Desserts And Gut Microbiome Profiles In Healthy Volunteers: A Randomized Controlled Trial, Sayamon Senaprom

Chulalongkorn University Theses and Dissertations (Chula ETD)

The glycemic index (GI) measures the blood glucose-raising potential of carbohydrate-rich foods and is associated with obesity and insulin resistance. In addition, an imbalanced gut microbiota has been linked to elevated postprandial blood glucose levels. However, the relationship between consuming Thai desserts predominantly composed of carbohydrates and gut microbiome profiles remains unclear. This study aimed to evaluate the effects of consuming various Thai desserts with different GI values on the gut microbiomes of healthy volunteers. This open-label, parallel randomized clinical trial involved 30 healthy individuals aged 18 to 45 years. Participants were randomly assigned to one of three groups: Phetchaburi’s …

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A Comparative Study Of Portal Versus Peripheral Circulating Tumor Cells In Patients With Stage I-Iii Pancreatic Cancer, Thaninee Prasoppokakorn Jan 2024

A Comparative Study Of Portal Versus Peripheral Circulating Tumor Cells In Patients With Stage I-Iii Pancreatic Cancer, Thaninee Prasoppokakorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Background: Portal venous circulating tumor cells (CTCs) detection may better reflect vascular metastasis and predict micro-metastasis risk in pancreatic ductal adenocarcinoma (PDAC) than peripheral blood. We hypothesize that portal CTCs could better represent micro-metastasis and predict survival in PDAC patients. Methods: We conducted a single-center, prospective interventional cohort study of patients with stage I-III PDAC between January 2020 and September 2021, with followed up until February 2024. Portal venous blood was obtained via endoscopic ultrasound (EUS)-guided sampling, and peripheral blood was collected on the same day. CTCs were detected using EpCAM and mucin1 antibodies and reported as cells/8mL of blood. …

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Profiling The Microbiome In Breast Cancer Patients Before And After Treatment With Cannabis Oil, May Soe Thu Jan 2024

Profiling The Microbiome In Breast Cancer Patients Before And After Treatment With Cannabis Oil, May Soe Thu

Chulalongkorn University Theses and Dissertations (Chula ETD)

With long-term cancer treatment, female breast cancer patients encounter debilitating side effects from a current range of cancer therapies. Cannabinoids (CBs) have been widely used due to their efficacy on chemotherapy-associated pain. Although there is some evidence that cannabis oil may enhance quality of life and lessen symptoms in people with breast cancer, this is not very substantial. No randomised trials evaluating the effects of cannabis in breast cancer patients has been conducted before. The microbiome is critical to human health and disease, and accumulating data suggests that it is influenced by a variety of external variables, including marijuana, cannabis, …

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The Analysis Of Electric Vehicle's Adoption And Impact Of The Stimulation Policy In Thailand, Theeradol Techa-Erawan Jan 2024

The Analysis Of Electric Vehicle's Adoption And Impact Of The Stimulation Policy In Thailand, Theeradol Techa-Erawan

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Thai government aims to reduce greenhouse gas (GHG) emissions in the transportation sector and establish Thailand as an electric vehicle (EV) hub in Southeast Asia by 2025. This study focuses on battery electric vehicles (BEVs) due to their potential for reducing emissions. Given the importance of the motor vehicles and parts are Thailand’s third most valuable export category, with exports accounting for 59.5% of the country’s GDP in 2019—the study analyzes consumer preferences for EV attributes and explores public attitudes toward EV stimulation policies. A Discrete Choice Experiment (DCE) survey is conducted with 363 participants in Bangkok, revealing that …

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