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The Association Of Mirnas As Biomarkers For Severe Liver Dysfunction In Severe Dengue Infection, Napat Pas-Arj Jan 2024

The Association Of Mirnas As Biomarkers For Severe Liver Dysfunction In Severe Dengue Infection, Napat Pas-Arj

Chulalongkorn University Theses and Dissertations (Chula ETD)

Identification early biomarkers for severe liver dysfunction in severe dengue patients is essential. Currently, there is no any data on circulating miRNAs to predict this important complication, Therefore, this study aimed to explore the role of circulating miRNAs in severe liver dysfunction in dengue infection. On the initial day of admission, serum samples were gathered from patients with dengue infection. These patients were monitored for 14 days post-admission to ascertain their final diagnosis. Following the WHO 2009 criteria, participants were categorized into severe liver dysfunction and non-severe liver dysfunction group. To conduct a transcriptomic analysis of circulating miRNAs used the …


Gene Expression By Nanostring Rna Profiling Of Monocytic Myeloid-Derived Suppressor Cells In Knee Osteoarthritis, Varote Shotelersuk Jan 2024

Gene Expression By Nanostring Rna Profiling Of Monocytic Myeloid-Derived Suppressor Cells In Knee Osteoarthritis, Varote Shotelersuk

Chulalongkorn University Theses and Dissertations (Chula ETD)

Osteoarthritis (OA) is a widespread degenerative joint disease marked by cartilage destruction. This study investigates the role of monocytic myeloid-derived suppressor cells (M-MDSCs) in OA, focusing on their gene expression profiles and their relationship with body mass index (BMI) in knee OA patients. Previous research has shown a positive correlation between M-MDSCs and BMI in OA. We explored the role of M-MDSCs derived from the infrapatellar fat pad (IPFP) in OA patients.Using NanoString technology, we examined the transcriptional profile of M-MDSCs from the IPFP of knee OA patients undergoing total knee replacement surgery, categorized into different BMI groups. Flow cytometry …


Association Between Volunteering, Wellbeing, And Homo-Negativity: An Analysis Of World Values Survey, Amirhossein Khanehpaza Jan 2024

Association Between Volunteering, Wellbeing, And Homo-Negativity: An Analysis Of World Values Survey, Amirhossein Khanehpaza

Chulalongkorn University Theses and Dissertations (Chula ETD)

Objectives: Homonegativity adversely affects the health and well-being of homosexuals in society, making it vital to identify factors associated with it. This study investigates whether active membership in voluntary organizations correlates with homonegativity, examining how this varies by gender and age.Methods: Using the World Values Survey data (2017-2022) from 87,777 participants in 63 countries, we performed binary logistic regression to assess relationships between homonegativity and factors including socioeconomic status, demographics, and voluntary activity participation.Results: Our findings suggest that active membership in certain voluntary organizations correlates with homonegativity levels among both men and women across various age groups. Specifically, active participation …


Zero-Shot Adaptation Of Molecular Generative Adversarial Network For Specific Protein Targets, Ravipas Aphikulvanich Jan 2024

Zero-Shot Adaptation Of Molecular Generative Adversarial Network For Specific Protein Targets, Ravipas Aphikulvanich

Chulalongkorn University Theses and Dissertations (Chula ETD)

Drug discovery, crucial for identifying new potential drug candidates to treat diseases and improve health, is increasingly enhanced by deep learning approaches such as molecular generation models. However, creating drug candidates with desired properties, such as the quantitative estimate of drug-likeness (QED), synthetic accessibility (SA), and binding affinity (BA), remains a significant challenge, especially when training generative models for specific protein targets with limited pharmaceutical data. Addressing these challenges, this thesis presents Mol-Zero-GAN, a novel framework designed to generate drug candidates tailored to specific protein targets without additional data by employing zero-shot adaptation techniques and Bayesian optimization (BO). By fine-tuning …


Machine Learning Model For Skill Level Prediction Inmultiplayer Online Battle Arena, Vachirawit Pepatang Jan 2024

Machine Learning Model For Skill Level Prediction Inmultiplayer Online Battle Arena, Vachirawit Pepatang

Chulalongkorn University Theses and Dissertations (Chula ETD)

The ranked matchmaking system in MOBA games like DotA 2 matches players with similar skill levels, enhancing enjoyment, fairness, and competitiveness. However, current MOBA ranking systems calculate a player's ranking based on match outcomes rather than the player's individual performance, resulting in unfairness for players who perform better or worse than the rest of the team. Therefore, it is necessary to use multiple match data to correctly rate players' skills. Additionally, boosting leads to players using accounts that do not match their actual skill level. This causes negative experiences for other players and ultimately makes the game less enjoyable. This …


Multiple Face Detection And Recognition For System-On-Chip Fpgas, Siraphop Santiwiwat Jan 2024

Multiple Face Detection And Recognition For System-On-Chip Fpgas, Siraphop Santiwiwat

Chulalongkorn University Theses and Dissertations (Chula ETD)

Recognizing multiple faces within a single frame or image presents a significant challenge in facial recognition tasks. This challenge demands robust algorithms capable of handling variations in facial position, unstable brightness, and the presence of accessories such as glasses or hats. However, in current surveillance applications, multiple face recognition is vital for maintaining various security measures. In such applications, there is a need for processors that are compact and deployable in diverse environments. FPGA is popular due to its compact size, cost-effectiveness, and high performance. In this thesis, we proposed the implementation of multiple face detection and recognition on an …


Mixed-Reality Learning Environment In Studio-Based Learning To Enhance Creative Problem-Solving For Architecture, Thadharphut Limapornvanitr Jan 2024

Mixed-Reality Learning Environment In Studio-Based Learning To Enhance Creative Problem-Solving For Architecture, Thadharphut Limapornvanitr

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research and development aim to 1) address the factor structure of creative problem-solving skills for undergraduate architecture students in Thailand. 2) identify what technology-fostered, mixed-reality learning environment for studio-based design learning could enhance the creative problem-solving of undergraduate architecture students in Thailand. 3) design and develop a mixed-reality learning environment in studio-based learning to enhance creative problem-solving for architecture. 4) define mixed-reality learning environments in studio-based learning to enhance creative problem-solving for architecture. Samples are a multistage random sampling of 655 undergraduate architecture students in Thailand. Three experts in the first phase validated the self-evaluation form. Nineteen undergraduate students …


Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod Jan 2024

Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod

Chulalongkorn University Theses and Dissertations (Chula ETD)

Aflatoxins (AF) are harmful carcinogens found in feeds and foods. Aflatoxin B1, the most known natural carcinogen, was classified as a Group I carcinogen by the International Agency for Research on Cancer (IARC). To respond to this problem, molecularly imprinted polymers coated on Fe3O4 nanoparticles (Fe3O4@MIP) were synthesized by polymerization method using 5,7-dimethoxycoumarin (DMC) as the template and methacrylic acid (MAA) as the functional monomer. Fe3O4 magnetic nanoparticles were used as a core structure to enhance recycling performance. After the removal of the template, Fe3O4@MIP composites were characterized using x-ray powder diffraction spectroscopy (XRD), Fourier transform infrared spectroscopy (FTIR), vibrating …


System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako Jan 2024

System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako

Chulalongkorn University Theses and Dissertations (Chula ETD)

โลหะมีค่าเป็นกลุ่มโลหะที่มีมูลค่าทางเศรษฐกิจสูงกว่าโลหะทั่วไป ดังนั้นการพยากรณ์ราคาของโลหะมีค่าจึงเป็นหนึ่งปัญหาที่น่าสนใจ ซึ่งการพยากรณ์ราคาของโลหะมีค่ามีหลากหลายวิธี โดยวิทยานิพนธ์ฉบับนี้มีจุดประสงค์เพื่อพัฒนาระบบสมการเชิงอนุพันธ์เกรย์สโตแคสติกกับการวิเคราะห์สเปกตรัมเอกฐาน (SGDE+SSA) ในการพยากรณ์ราคาของทองคำ เงิน แพลทินัม และแพลเลเดียม ในขั้นตอนแรกจะทำการสร้างแบบจำลอง SGDE+SSA แบบหนึ่งมิติ เพื่อพยากรณ์ราคาของโลหะมีค่าทั้งสี่ชนิดโดยไม่พิจารณาค่าสหสัมพันธ์ของโลหะเหล่านี้ แต่ในความเป็นจริงราคาของโลหะเหล่านี้มีความสัมพันธ์กัน ดังนั้นแบบจำลอง SGDE+SSA แบบหลายมิติจึงถูกสร้างขึ้น โดยมีการพิจารณาค่าสหสัมพันธ์ที่เกิดจากการวิเคราะห์ข้อมูลราคาในอดีตเพื่อให้แบบจำลองมีความเหมาะสมกับสถานการณ์จริงมากยิ่งขึ้น สำหรับการวิเคราะห์ความอ่อนไหวจะศึกษาโดยการพัฒนาวิธีการคัดเลือกค่าพารามิเตอร์เพื่อเพิ่มประสิทธิภาพของแบบจำลอง นอกจากนี้ค่าคาดหวังและค่าความแปรปรวนของผลเฉลยทางตัวเลขถูกแสดงโดยคำนวณจากแบบจำลอง ความแม่นยำของแบบจำลอง SGDE+SSA แบบหนึ่งมิติ และแบบจำลอง SGDE+SSA แบบหลายมิติ จะถูกแสดงผ่านค่า MAPE ซึ่งเป็นการเปรียบเทียบระหว่างราคาจากแบบจำลองและราคาของโลหะมีค่าในอดีตตั้งแต่เดือนมกราคม พ.ศ. 2548 ถึง เดือนมกราคม พ.ศ. 2567 ผลการศึกษาครั้งนี้พบว่าแบบจำลอง SGDE+SSA แบบหนึ่งมิติสำหรับราคาการพยากรณ์ในช่วงชุดการเรียนรู้ และสำหรับสำหรับราคาที่พยากรณ์ในช่วงข้อมูลชุดทดสอบ แบบจำลอง SGDE+SSA แบบหนึ่งมิติมีความเชี่ยวชาญในการคาดการณ์ราคาของเงิน ในขณะที่แบบจำลอง SGDE+SSA แบบหลายมิติมีประสิทธิภาพในการทำนายราคาของทองคำและแพลทินัม โดยรวมแล้วแบบจำลองเหล่านี้มีประสิทธิภาพในการทำนายราคาทองคำ เงินและแพลทินัม


Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad Jan 2024

Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, we introduce the concept of homotopy conjugate, which is weaker than topological conjugate, for continuous maps. We study the properties of a homotopy conjugate related to the fixed space, the orbit space, and the mapping cylinder. Moreover, we prove that affine maps on R™ with at least one fixed point are all homotopy conjugate.


Valorization Of Spent Coffee Grounds As Feedstock For Biodiesel Production Using Supercritical Fluid Technology, Wirasinee Supang Jan 2024

Valorization Of Spent Coffee Grounds As Feedstock For Biodiesel Production Using Supercritical Fluid Technology, Wirasinee Supang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Spent coffee grounds (SCGs) is the solid residue generated during coffee brewing. The amount of SCGs tends to increase annually due to the growth of the coffee industry. The valorization of SCGs can reduce this huge waste by using SCGs as the feedstock for biodiesel production. This study used green technology for biodiesel production. To evaluate the potential of SCGs, the characterization of SCGs and the optimization of biodiesel production from SCGs using supercritical fluid technology were investigated. Moreover, to understand the possibility of biodiesel production from the SCGs process on an industrial scale, techno-economic analysis (TEA) was applied to …


Winner Prediction Model For Basketball Matches Based On Statistical Data Of Teams, Players, And Line-Ups, Chanin Witheesawas Jan 2024

Winner Prediction Model For Basketball Matches Based On Statistical Data Of Teams, Players, And Line-Ups, Chanin Witheesawas

Chulalongkorn University Theses and Dissertations (Chula ETD)

NBA league in the United States for professional basketball league is considered the world-famous basketball league with the highest money circulation. Basketball players around the world would rather join the league. Also, many entrepreneurs would like to become a sponsor of a basketball team in the NBA league to increase the business opportunities leading to higher revenue especially a sponsor of a team that wins the NBA championship more than other teams. Therefore, every NBA team must develop a proper strategic plan to win the NBA championship. Hence, it is the beginning of this thesis to use seven popular machine …


Machine Learning For Increasing Productivity In Shrimp Hatchery, Boonyapron Kaowleg Jan 2024

Machine Learning For Increasing Productivity In Shrimp Hatchery, Boonyapron Kaowleg

Chulalongkorn University Theses and Dissertations (Chula ETD)

The quality of shrimp hatcheries directly impacts the survival and growth of shrimp during the grow-out stage, with poor hatchery conditions increasing the risk of infections and reducing overall productivity. This study explores the potential of machine learning to enhance productivity in shrimp hatcheries in Thailand, focusing on improving the accuracy of hatchery success predictions. Four machine learning models were developed and compared to predict shrimp hatchery outcomes based on historical data. Data were collected from multiple sources, which presented challenges in terms of variability, missing values, and the need for extensive pre-processing. The results showed that the random forest …


Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan Jan 2024

Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Learning in deep learning architectures for computer vision is a resource-intensive process. Although the accuracy of state-of-the-art models has improved over time, these methods still require significant time and memory to process large datasets, particularly in the context of streaming image data. The necessity to store and reprocess old data each time new data is introduced leads to inefficient resource usage. A more efficient approach is to learn from data in chunks and discard the previously processed data. However, this strategy often results in catastrophic forgetting. In this study, we propose a novel algorithm called CNN-SCIL, which enhances the Streaming …


Identifying Unsafety Gesture Of Drivers Using Deep Learning, Yibei Bai Jan 2024

Identifying Unsafety Gesture Of Drivers Using Deep Learning, Yibei Bai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents the use of deep learning to identify two unsafe gestures of drivers: (1) holding the wheel with one hand and performing an action with the other hand, and (2) talking on the phone while driving. These gestures can distract the driver, potentially leading to accidents. Four models were compared and evaluated. Additionally, the study introduces the Driver Action Expression (DAE) dataset, collected through a road driving experiment focusing on driver behavior. The issue of imbalanced data was considered. The Xception model shows the best performance compared to other models, leading to its selection as the primary model …


Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong Jan 2024

Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this work, the logistic stochastic differential equation (SDE) driven by fractional Brownian motion (FBM) is proposed. We derive the exact solution of this SDE using the fractional Itô's formula with respect to FBM and investigate the probabilistic properties of the solution, namely the mean and the $k$-th moment, using Taylor series approximation. The simulation of sample paths using the direct formula of the exact solution of this SDE driven by FBM with various Hurst parameters, along with that of the corresponding SDE driven by standard Brownian motion, is performed to demonstrate the behaviors of these SDEs and affirm our …


3d-Printed Flexible Polyacrylamide/Alginate Gel Polymer Electrolyte For Zinc Ion Baterry, Napassorn Wongduangpa Jan 2024

3d-Printed Flexible Polyacrylamide/Alginate Gel Polymer Electrolyte For Zinc Ion Baterry, Napassorn Wongduangpa

Chulalongkorn University Theses and Dissertations (Chula ETD)

Flexible and wearable electronic devices are gaining widespread popularity due to their portability and user-friendly design. These devices include electrical sensors, flexible displays, smart clothing, and on-body health monitoring devices. The demand for these devices depends on their ability to maintain flexibility, light weight, bending ability, twisting ability, and ease of portability, such as being foldable under intense usage conditions. These flexible and wearable electronics require a suitable power source, typically batteries. Zinc-ion batteries (ZIBs) are widely used due to their safety, cost-effectiveness, and environmental friendliness. However, ZIBs still face limitations in terms of flexible and durable electrolytes, which pose …


Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee Jan 2024

Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee

Chulalongkorn University Theses and Dissertations (Chula ETD)

This work aims for finding prices of options with underlying assets considered as commodities, where the price of commodity is assumed to follow a mean-reverting Ornstein-Uhlenbeck process, namely, the Schwartz one-factor model. The prices of both European and American options are obtained by employing the finite different methods (FDMs) for solving parabolic partial differential equations (PDEs) generated from Feynman-Kac theorem. In this work, we construct three FDMs to solve PDEs, namely FTCS, BTCS and CN methods. The accuracy of FDMs are validated and confirmed by numerical examples for European options by comparing with analytical results from Black-Scholes type formula and …


Characterization Of Geuda Sapphires From Sri Lanka, Hussain Akiff Mohamed Faleel Jan 2024

Characterization Of Geuda Sapphires From Sri Lanka, Hussain Akiff Mohamed Faleel

Chulalongkorn University Theses and Dissertations (Chula ETD)

Geuda sapphire samples from the Kataragama and Ratnapura deposits in Sri Lanka were classified into milky, silky, and diesel varieties. Each sample was sliced into two pieces and subjected to two different heat treatments. The first slice was heated to 1750°C in a gas furnace using LPG, creating an oxygen-reduced environment, while the second slice was annealed at 1650°C in an electric furnace under oxidizing condition. Both heating methods produced similar results for the milky and diesel geuda varieties. However, in the silky geuda, which contained needle-like ilmenite inclusions, the gas furnace under oxygen-reduced conditions yielded more pronounced effects. In …


Molecular Dynamics Simulation Of Phosphonium-Based Ionic Liquids For Natural Gas Sweetening, Umar Muhammad Yahaya Jan 2024

Molecular Dynamics Simulation Of Phosphonium-Based Ionic Liquids For Natural Gas Sweetening, Umar Muhammad Yahaya

Chulalongkorn University Theses and Dissertations (Chula ETD)

Sour natural gas (SNG) contains significant amounts of H2S, CO2, and other sulfur-containing components which need to be reduced to the required level suitable for safe transportation and usage. In this work, we conducted molecular dynamics simulations of five Phosphonium-based Ionic Liquids (PILs) with a formulated gas mixture containing 80% CH4, 10% CO2, 5% H2S, and 5% N2, reflecting a typical composition of SNG. The simulation was performed at 300 K and 50 bar for 100 ns and five PILs studied were tetrabutylphosphonium acetate ([P4444][ACE]), tetrabutylphosphonium formate ([P4444][FOR]), tetrabutylphosphonium methyl carbonate ([P4444][MTC]), tetrabutylphosphonium dimethylphosphate ([P4444][DMP]), and tetrabutylphosphonium diethylphosphate ([P4444][DEP]). Analysis …


Prediction The Dose Distributions Of Prostate Cancer Patients Using Deep Learning, Pumipat Chaikamthorn Jan 2024

Prediction The Dose Distributions Of Prostate Cancer Patients Using Deep Learning, Pumipat Chaikamthorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Volumetric Modulated Arc Therapy (VMAT) is one of the advanced modalities in recent radiotherapy. It uses the inverse treatment planning system for optimization and dose calculation. However, this approach is a trial-and-error process, which takes a long time. An accurate deep-learning model that can predict the dose would solve this issue. This approach can save more treatment planning time, by guiding the planners to the optimum dose while maintaining the plan quality. The 40 previously treated prostate cancer plans were collected the volumetric information of PTV and OARs, overlapping volume, and the dosimetric information. The regression deep learning model, which …


Seroprevalence And Epidemiology Of Human Respiratory Syncytial Virus (Rsv) Among Young Children In Thailand, Siripat Pasittungkul Jan 2024

Seroprevalence And Epidemiology Of Human Respiratory Syncytial Virus (Rsv) Among Young Children In Thailand, Siripat Pasittungkul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Respiratory Syncytial Virus (RSV) is a significant cause of both upper and lower respiratory tract infections, capable of affecting both children and adults, with the potential for reinfection throughout life. Despite the current availability of an RSV vaccine for pregnant women and the elderly, RSV remains a leading cause of severe lower respiratory tract infections in infants and young children globally. Reinfections by the same or different RSV subgroups in children residing in the tropics are currently under-studied. Therefore, This study investigated the seroprevalence and epidemiology of RSV infections in Thai children. Our seroprevalence study (2015-2020) involved 302 mothers and …


ปัจจัยด้านพฤติกรรมของนักแสดงซีรีส์วายกับการยุติการเป็นแฟน, ชรินรัตน์ องค์เพลาเพลิด Jan 2024

ปัจจัยด้านพฤติกรรมของนักแสดงซีรีส์วายกับการยุติการเป็นแฟน, ชรินรัตน์ องค์เพลาเพลิด

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยนี้มีวัตถุประสงค์เพื่อ (1) ศึกษาระดับผลกระทบของพฤติกรรมนักแสดงซีรีส์วายต่อการตัดสินใจยุติการเป็นแฟน และ (2) วิเคราะห์ปัจจัยที่ทำให้แฟนของนักแสดงซีรีส์วายที่มีประเด็นข่าวเชิงลบตัดสินใจยังคงการเป็นแฟนหรือยุติการเป็นแฟน ผ่านการศึกษาวิจัยเชิงปริมาณและคุณภาพ จากการสํารวจกลุ่มตัวอย่างแฟนคลับนักแสดงซีรีส์วายไทย ทั้งหมด 401 คน และ การสัมภาษณ์เชิงลึกจากแฟนคลับนักแสดงซีรีส์วายไทย ทั้งหมด 14 คน แบ่งเป็น แฟนที่ยังติดตามนักแสดงซีรีส์วายอยู่ จำนวน 6 คน และแฟนที่เลิกติดตามนักแสดงซีรีส์วายด้วยปัจจัยพฤติกรรมจำนวน 8 คน ผลการวิจัยพบว่าปัจจัยหลักด้านพฤติกรรมของนักแสดงซีรีส์วายที่ทำให้แฟนคลับตัดสินใจยุติการเป็นแฟนสูงที่สุด คือ พฤติกรรมที่เกี่ยวข้องกับการล่วงละเมิดทางเพศกับผู้เยาว์ พฤติกรรมที่เกี่ยวข้องกับการข่มขืน พฤติกรรมที่เกี่ยวข้องกับการฉ้อโกง พฤติกรรมที่เกี่ยวข้องกับการอนาจาร ซึ่งหากนักแสดงซีรีส์วายมีพฤติกรรมในกลุ่มนี้ แฟนมีแนวโน้มที่จะยุติการเป็นแฟนในทันที ในขณะที่พฤติกรรมอื่น ๆ อาจจะมีการให้อภัย และยังเป็นแฟนต่อไป โดยขึ้นอยู่กับปัจจัยภายในคือ เพศ อายุ การศึกษา มุมมองที่มีต่อนักแสดง รูปแบบการเป็นแฟน และปัจจัยภายนอกคือ พฤติกรรมในอดีต การตอบสนองของค่าย/ศิลปิน พฤติกรรมที่เกิดขึ้นซ้ำ การเข้าถึงข้อมูลข่าวสาร และคนรอบข้าง/กระแสสังคม ดังนั้นเพื่อป้องกันการยุติการเป็นแฟน นักแสดงซีรีส์วายควรจะสร้างความเชื่อมั่นและความไว้วางใจให้กับแฟน รักษาภาพลักษณ์ที่ดี สื่อสารกับแฟนคลับอย่างสม่ำเสมอ เข้าใจความต้องการของแฟน และพัฒนาตนเองอย่างต่อเนื่อง ส่วนค่ายของนักแสดงควรที่จะให้ความสำคัญกับการคัดเลือกนักแสดงที่มีความสามารถและพฤติกรรมที่ดี วางแผนการตลาดให้เหมาะสมกับภาพลักษณ์ และใส่ใจในเรื่องการจัดการวิกฤตอย่างมีประสิทธิภาพ


Chinese Consumers’ Perception Of Thailand As A Tourism Destination Via Xiaohongshu Platform, Zihuan Xu Jan 2024

Chinese Consumers’ Perception Of Thailand As A Tourism Destination Via Xiaohongshu Platform, Zihuan Xu

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study examines how prior travel experience, demographic factors, and user-generated content (UGC) on Xiaohongshu collectively influence Chinese consumers’ perceptions of Thailand as a tourist destination, with a focus on shopping. Consumer perception is analyzed across four dimensions: cognition, emotion, language, and behavior. The findings reveal that prior travel experience has the most significant impact, with those who have visited Thailand showing more positive perceptions across all dimensions compared to those who have not. Demographic factors, such as age and occupation, also play a role, particularly in influencing language. Exposure to Xiaohongshu UGC primarily affects the behavioral dimension, enhancing purchase …


Fans Perceptions And Fans Engagement Of “Bed Friend Series”, Fiona Paramatmika Jan 2024

Fans Perceptions And Fans Engagement Of “Bed Friend Series”, Fiona Paramatmika

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of the research is to explore the fan perception and fan engagement of “Bed Friend Series”. The research used In-depth interview method from 20 key informants from the fandom living in different countries. The research examines how fans perceive the series’ themes, characters, and storylines, as well as their interaction with its leading actors, Net Siraphop and James Su. Utilizing qualitative methods, twenty informants from diverse backgrounds were interviewed to understand their emotional connections and participatory behaviors across online and offline platforms. Findings reveal that fans hold the series in high regard for its portrayal of relationships and …


Indian Tourists’ Perceptions Of Inclusive Tourism In Thailand With A Focus On Media Influence And Cultural Differences, Shikha Patwal Jan 2024

Indian Tourists’ Perceptions Of Inclusive Tourism In Thailand With A Focus On Media Influence And Cultural Differences, Shikha Patwal

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study examined Indian tourists’ perceptions of LGBTQ+ inclusivity in Thailand, with a focus on the roles of media influence and cultural differences. As Thailand is a prominent destination for LGBTQ+ tourism in Southeast Asia, understanding how cultural nuances impact Indian tourists' experiences offers valuable insights. The research employs a qualitative approach, gathering data through in-depth interviews with 10 Indian tourists who have visited Thailand. The findings suggest that Indian tourists generally perceive Thailand as a welcoming and safe space for LGBTQ+ individuals, contrasting with India’s more conservative social landscape. Media representations, including social media, significantly shape expectations of inclusivity, …


An Investigation Of Simulation Research Trends In Asian Countries From 2006 To 2021 - A Bibliometric Review, Lulu Sherif Mahmood, Felicita Livia Saldanha, Sinéad Lydon, Paul O’Connor, Dara Byrne, Caoimhe Madden Jan 2024

An Investigation Of Simulation Research Trends In Asian Countries From 2006 To 2021 - A Bibliometric Review, Lulu Sherif Mahmood, Felicita Livia Saldanha, Sinéad Lydon, Paul O’Connor, Dara Byrne, Caoimhe Madden

Health Professions Education

In this bibliometric review, we have examined five English-language journals to investigate the distribution and characteristics of simulation-based research in Asia from 2006 to 2021. The handsearching method was used for accessing articles from online issues. Eight variables were extracted and the frequency of each variable within 2 time frames (2012-2016; 2016 to 2021) was quantified to compare the trends. The results depicted that a majority were research publications (86.4%) from Eastern and Western Asia, with intervention (66.1%) as the primary focus and mannequin (34.7%) as the major simulation modality. There was an equal representation of healthcare professionals (47.5%) and …


Effects Of Physical Exercise On Academic Performance In University Students: A Systematic Review, Yury Rosales-Ricardo, Verónica Cáceres-Manzano Jan 2024

Effects Of Physical Exercise On Academic Performance In University Students: A Systematic Review, Yury Rosales-Ricardo, Verónica Cáceres-Manzano

Health Professions Education

Purpose: to evaluate the scientific evidence on the effects of physical exercise on the academic performance of university students, through a systematic review.

Methods: Eleven hundred and fifty-three studies emerged from this search, based on the following selection criteria: articles published in the last 5 years, original studies of different types: experimental at any level, correlational, analytical, and observational, where any type of physical exercise is applied, in undergraduate university students, of any sex and university career. The review was finally performed with only 11 studies. Search for appropriate manuscripts was based on the following descriptive terms: "Exercise" …


Factors Affecting The Questioning Ability Of Neophyte Undergraduate Nursing Students In The Classroom, Muhammad Ishtiaq, Raisa Gul Jan 2024

Factors Affecting The Questioning Ability Of Neophyte Undergraduate Nursing Students In The Classroom, Muhammad Ishtiaq, Raisa Gul

Health Professions Education

Questioning is one of the most commonly used strategies in the instructional process. Well-constructed and appropriate levels of questions stimulate imagination, ignite curiosity, and promote critical thinking. Questioning is an important academic tool in all disciplines but it is more significant for healthcare disciplines for making decisions impacting life and death situations. A grey zone exists on facilitative and hindering factors for asking questions during the instruction deliberations. This study aimed to explore the students’ perspective on the significance of asking questions and the factors affecting their ability to ask questions in a classroom setting. A descriptive qualitative study recruited …


Academic Well-Being In Medical Students: The Role Of Spiritual Health And Academic Hope, Zahra Taheri-Kharameh, Zohreh Khalili, Hossein Sharafi, Iman Khahan-Yazdi Jan 2024

Academic Well-Being In Medical Students: The Role Of Spiritual Health And Academic Hope, Zahra Taheri-Kharameh, Zohreh Khalili, Hossein Sharafi, Iman Khahan-Yazdi

Health Professions Education

Purpose. Academic well-being plays a crucial role in the success and satisfaction of medical students. However, the factors that contribute to academic well-being in this population are not well understood. This study aims to investigate the impact of spiritual health and hope on predicting academic well-being in a sample of medical students from Iran.

Method. A cross-sectional study was conducted on 180 medical students from a university in Iran. The participants completed the Spiritual Health Scale, the Hope for Education Scale and the Academic Well-being Scale. The data collection was conducted in the second semester of the academic year 2022-2023. …