bluuebunny/crossref_metadata_2025 huggingface dataset:
ผลของโปรแกรมฟื้นฟูสมรรถภาพแบบทางไกลที่มีการติดตามต่อเนื่องรายสัปดาห์ในผู้ป่วยที่หายจากภาวะปอดอักเสบจากการติดเชื้อไวรัสโคโรนา สายพันธุ์ 2019
Authors:   , แซ่เฉิน วุฒิชัย
Published: September 2023

ที่มาและวัตถุประสงค์: โรคติดเชื้อไวรัสโคโรนา 2019 ได้ส่งผลกระทบต่อผู้ที่หายจากภาวะปอดอักเสบภายหลังการติดเชื้อจํานวนมาก โดยส่งผลกระทบทั้งทางสุขภาพทางกายและจิตใจ ซึ่งการฟื้นฟูสมรรถภาพปอดเป็นวิธีที่มีส่วนช่วยในการฟื้นฟูสุขภาพทางจิตใจและทางกายของผู้ป่วย แต่ด้วยข้อจำกัดการเข้าถึงระบบการรักษาดังกล่าวในช่วงเวลาที่มีการแพร่ระบาดของไวรัส จึงเป็นที่มาที่ทำให้เราตั้งใจศึกษาถึงผลของโปรแกรมฟื้นฟูสมรรถภาพแบบทางไกลที่มีการติดตามต่อเนื่องรายสัปดาห์ในผู้ป่วยที่หายจากภาวะปอดอักเสบจากการติดเชื้อไวรัสโคโรนาสายพันธุ์ 2019

วิธีการวิจัย: ผู้ป่วยที่หายจากภาวะปอดอักเสบจากการติดเชื้อไวรัสโคโรนาสายพันธุ์ 2019 และผ่านเกณฑ์การเข้าร่วมการศึกษา จะเข้าร่วมโปรแกรมฟื้นฟูสมรรถภาพแบบทางไกล โดยจะได้รับคําแนะนําและสอนการฟื้นฟูสมรรถภาพปอดจากแพทย์ผู้ทำการศึกษาและนักกายภาพบําบัดที่เกี่ยวข้องและนำไปฝึกและฟื้นฟูสมรรถภาพต่อที่บ้าน โดยจะมีการตรวจติดตามต่อเนื่องรายสัปดาห์ทางไกลผ่านการวิดีโอคอลและทางโทรศัพท์ ผลของการศึกษาจะถูกประเมินวันแรกที่เข้าร่วมการศึกษาและที่ 3 เดือนภายหลังเข้าร่วมการศึกษา ซึ่งได้แก่การประเมินคุณภาพชีวิตโดยแบบสอบถามอีคิวไฟว์ดีไฟว์แอล, ความสามารถในการดำเนินชีวิตประจำวันประเมินโดยคะแนนดัชนีบาร์เทลอินเด็กซ์, คะแนนระดับความเหนื่อยขณะประเมินสมรรถภาพของผู้ป่วยโดยแบบประเมินโมดิฟาย บอร์ก สเกล และการประเมินสมรรถภาพทางกายโดยการวัดระยะทางที่ผู้ป่วยสามารถเดินได้ในระยะเวลา 6 นาที ส่วนการประเมินสมรรถภาพปอดใช้วิธีสไปโรเมตรีย์ โดยผลของการศึกษาจะถูกนำไปวิเคราะห์เปรียบเทียบระหว่างก่อนและหลังเข้าร่วมการศึกษาในกลุ่มการศึกษาเดียวกันและเปรียบเทียบกับกลุ่มการศึกษาที่ศึกษาย้อนหลังไปยังอดีตที่ไม่ได้รับการฟื้นฟูสมรรถภาพปอดโดยวิธีการจับคู่ทางสถิติ

ผลการศึกษา: ผู้เข้าร่วมการศึกษาทั้งสิ้น 15 คน ผลการศึกษาภายหลังเข้าร่วมการศึกษาครบ 3 เดือน คุณภาพชีวิต ความสามารถในการดำเนินชีวิตและผลการประเมินสมรรถภาพทางกายและปอด มีแนวโน้มดีขึ้นอย่างมีนัยสําคัญทางสถิติเมื่อเปรียบเทียบกับก่อนการเข้าร่วมการศึกษา อย่างไรก็ตามไม่มีความแตกต่างอย่างมีนัยสําคัญทางสถิติของผลการศึกษาภายหลังเข้าร่วมการศึกษาครบ 3 เดือนเมื่อเปรียบเทียบกับกลุ่มการศึกษาที่ศึกษาย้อนหลังไปยังอดีต ยกเว้นคะแนนคะแนนการประเมินสุขภาพทางตรงผ่านแบบสอบถามอีคิวไฟว์ดีไฟว์แอล ที่ประเมินโดยผู้เข้าร่วมการศึกษา มีแนวโน้มคะแนนที่ดีกว่าอย่างมีนัยสำคัญทางสถิติในกลุ่มการศึกษา 96.6±6.95 เทียบกับ 87±9.02 ในกลุ่มการศึกษาที่ศึกษาย้อนหลังไปยังอดีต

สรุปผล: ผลกระทบที่เกิดขึ้นในผู้ป่วยที่หายจากภาวะปอดอักเสบภายหลังการติดเชื้อไวรัสโคโรนา 2019 มีแนวโน้มที่ดีขึ้นภายหลังการเข้ารับการศึกษา โดยการฟื้นฟูสมรรถภาพปอดมีแนวโน้มช่วยลดความรู้สึกเหนื่อยในผู้ป่วยกลุ่มเหล่านี้ได้ ซึ่งอาจส่งผลช่วยป้องกันความเหนื่อยล้าและอาการเหนื่อยที่เกิดขึ้นภายหลังการติดเชื้อไวรัสโคโรนา 2019 ในระยะยาวได้
การศึกษาการตอบสนองทางภูมิคุ้มกันของวัคซีนโรคโควิด-19 ชนิดเข็มกระตุ้นบีเอ็นที16บี2 ในผู้ป่วยปลูกถ่ายไตที่ได้รับวัคซีนโรคโควิดชนิดแชดด็อกซ์-1 มาแล้ว 2 เข็ม
Authors:   , ภิรมย์ ศุภพิชญา
Published: September 2023

ที่มาของงานวิจัย : การรับประทานยากดภูมิในผู้ป่วยที่ได้รับการปลูกถ่ายไตทำให้มีการตอบสนองทางภูมิคุ้มกันหลังได้รับวัคซีนป้องกันเชื้อโคโรนาไวรัส 2 เข็มที่ไม่ดีและไม่เพียงพอต่อการกระตุ้นภูมิคุ้มกัน การศึกษานี้จึงถูกจัดทำขึ้นเพื่อศึกษาการตอบสนองทางภูมิคุ้มกันของผู้ป่วยปลูกถ่ายไตต่อวัคซีนเข็มกระตุ้นชนิด บีเอ็นที16บี2หลังได้รับวัคซีนโรคโควิดชนิดแชดด็อกซ์ มาแล้ว 2 เข็ม
ระเบียบและวิธีวิจัย : เป็นการศึกษาเชิงสังเกตชนิดวิเคราะห์ (prospective cohort study) ในผู้ป่วยที่ได้การปลูกถ่ายไตมาแล้วมากกว่า 6 เดือน ที่มีอายุมากกว่าหรือเท่ากับ 18 ปี ไม่มีภาวะสลัดไตในช่วง 6 เดือนที่ผ่านมาและไม่เคยติดเชื้อโคโรนาไวรัสมาก่อน นำมาฉีดวัคซีนบีเอ็นที16บี2 หลังได้รับวัคซีนแชดด็อกซ์เข็มที่ 2 มาแล้ว 4 สัปดาห์ และตรวจเปรียบเทียบภูมิคุ้มกันชนิดแอนติบอดีต่อโปรตีนหนามเชื้อโคโรนาไวรัส (anti-SARS-CoV-2 spike antibody)   แอนติบอดีเอชแอลเอที่จำเพาะต่อผู้บริจาคไตก่อนและหลังฉีดวัคซีนดังกล่าวไปแล้ว 4 สัปดาห์
ผลการศึกษา : ผู้ป่วยทั้งหมด 115 คนที่เข้ารับการศึกษาพบว่ามีแนวโน้มภูมิคุ้มกันชนิดแอนติบอดีต่อโปรตีนหนามเชื้อโคโรนาไวรัสเพิ่มสูงขึ้นอย่างมีนัยยะสำคัญทางสถิติหลังได้รับวัคซีนเข็มกระตุ้นชนิดบีเอ็นที16บี2จากค่ามัธยฐาน 8.85 บีเอยู/มล. (ค่าพิสัยระหว่างควอไทล์ 00.00-180.81) ขึ้นเป็น ค่ามัธยฐาน 676.64 บีเอยู/มล. (ค่าพิสัยระหว่างควอไทล์ 6.02-3,644.03) ( P <0.001) เมื่อศึกษาในกลุ่มย่อยพบว่ากลุ่มผู้ป่วยที่ได้รับยากดภูมิกลุ่มที่ไม่มียาไมโครฟีโนเลท (mycophenolate ; MPA) มีภูมิคุ้มกันที่ดีกว่ากลุ่มที่ได้รับยากดภูมิสูตรมาตรฐานที่มียาไมโครฟีโนเลท ( 113.91 vs 3,060.69 บีเอยู/มล. , P <0.001) และหลังจากการฉีดวัคซีนไม่พบแอนติบอดีเอชแอลเอที่จำเพาะต่อผู้บริจาคไตขึ้นมาใหม่ ไม่พบภาวะแทรกซ้อนที่รุนแรงผิดปกติตลอดระยะเวลา 6 เดือน
สรุปผลการศึกษา : การฉีดวัคซีนเข็มกระตุ้นชนิดบีเอ็นที16บี2ในผู้ป่วยปลูกถ่ายไตสามารถกระตุ้นภูมิแอนติบอดีต่อโปรตีนหนามได้มากขึ้นอย่างมีนัยยะสำคัญเมื่อเทียบกับการได้รับวัคซีนชนิดแชดด็อกซ์เพียง 2 เข็ม โดยเฉพาะกลุ่มผู้ป่วยที่ไม่ได้รับยาไมโครฟีโนเลทในสูตรยากดภูมิพบภูมิขึ้นดีเป็นพิเศษ โดยไม่พบภาวะแทรกซ้อนที่สำคัญ
Estimating stock price based on information from financial statement using machine learning approach
Authors:   , Kunathananon Thitikun
Published: September 2023

This study introduces a new tool for stock market investors and institutions constructed from Long Short-Term Memory (LSTM) for predicting stock prices. By effectively analyzing financial statements and stock market data, LSTM provides a fast, unbiased, low-cost solution for stock price prediction, intending to increase profits for investors and reduce losses. The study results indicate that LSTM can maintain effectively captures complex relationships in the data and predicts stock prices. This research highlights the potential of LSTM as a valuable and innovative tool for investors and institutions in the stock market.
Formation control of mobile robot swarm in search operation
Authors:   , Asavasirikulkij Chanun
Published: September 2023

The use of swarm mobile robots has emerged as a promising approach to enhance search efficiency in various applications. This thesis focuses on proposing an effective design and fabrication methodology for a swarm mobile robot system based on the Robot Operating System (ROS) framework. Additionally, a novel network architecture is presented to improve communication efficiency among the robots. The primary objective of this research is to investigate the formation control of swarm mobile robots and their superior ability in search operations. Through extensive experiments and quantitative analysis, the performance of the proposed formation control strategy is evaluated in terms of survey duration, vision coverage, and target object search time. The results indicate significant improvements in terms of their survey and search time when employing the proposed formation control algorithm. This thesis provides valuable insights into the strengths and limitations of swarm robot formation control, offering a foundation for optimizing search operations.
The Socio-economic determinants of the life satisfaction of older persons in Myanmar in 2019
Authors:   , Thandar Myo
Published: September 2023

Myanmar has undergone significant demographic changes, and the share of the older population has increased. Myanmar is facing the challenge in providing social protections to the increasing number of older people, like many other rapidly-ageing societies. As people get older, their physical health and functional ability deteriorate and, as a result, their life satisfaction also declines in most cases. Therefore, it is crucial to consider factors that contribute to the perception of life satisfaction among this venerable cohort. This study explored the determinants of life satisfaction of older persons and investigated whether there are gender differences in the determinants of life satisfaction of older persons in Myanmar. This study used secondary data from the 2019 cross-sectional Myanmar Inter-censal Survey. This study analysed 65,065 older persons aged 60 and over using univariate, bivariate, and multivariate analysis. Multinomial logistic regression was used to examine the factors associated with various types of life satisfaction, namely unsatisfied, neutral, fairly satisfied, and very satisfied. Binary logistic regression was used to approach this association from a gender perspective. This study reveals that an urban setting and living with at least one child are essential factors contributing to higher life satisfaction of older persons. Having higher education, having higher household income, living in a better house, and having a better health status are the key factors in determining the life satisfaction of older persons. From the gender perspective, living arrangement patterns and house ownership status are associated with the life satisfaction of older women but not older men. For men, working as own account workers is positively associated with life satisfaction; however, this association does not hold for women. This study suggests that, in addition to socio-economic factors, the life satisfaction of older persons is also associated with area of residence, living arrangement, and health-related factors. The results have policy implications in terms of social protection strategies to improve the life satisfaction among older persons in Myanmar.
Learning model for improving quality of life of Cambodian migrant workers working and living in Thailand
Authors:   , Lay Chanrasmey
Published: September 2023

The purpose of this research study were 1) to study the current living situation of Cambodian migrant workers working and living in Thailand, 2) to study how all stakeholders and those Cambodian migrant workers could work together to improve the quality of life of those Cambodian migrant workers living and working in Thailand, and 3) to propose a learning model for improving the quality of life of Cambodian migrant workers working and living in Thailand. The data was collected quantitatively and qualitatively from the survey and in-depth interview.  The sample for the survey was 100 Cambodian migrant workers who were selected from four areas namely (1) Bangkok (2) Pathumthani (3) Chonburi and (4) Samut Prakarn. In addition, the informants for the interview were nine stakeholders consisting of two government officials, one representative of civil societies, one local community authority, one representative of worker recruiting companies and four Cambodian migrant workers. Data obtained from the survey was analyzed using descriptive statistics while that obtained from the in-depth interview was analyzed using thematic content analysis

The research finding revealed that most of the Cambodian migrant workers lived in difficult situation. However, their living condition varied mainly depending on legal status and the types of employment. Besides, stakeholders, including local community, employers, civil societies and recruiting agencies together with those Cambodian migrant workers are all important components for the contribution to the living and working condition of Cambodian migrant workers, specially, their own factors such as language, technology, attitude, networking and social integration in order to improve their health care, well-being and access to the information. The most crucial finding suggested that the employers avoid using illegal workers in order to stop the flow of illegal workers into Thailand. More importantly, both Cambodian and Thai government as well as stakeholders should work collaboratively and formulate clear guidelines to cooperatively prevent all repeated problems to those workers. The finding proposed that learning model consisted of two significant components, First, all stakeholders should play very important role on implementation of what have been discussed for improving the Quality of Life of all Cambodian migrant workers. Second, factors from Cambodian migrant workers such as their social background and attitude, ability in Thai language and building networking, social integration with local people as well as their skill in using technology should be improved to promote their life capital. These components could eventually lead to their well-integrated and contribute to their Quality of Life by improving their healthcare, well-being, social inclusion and information access.
A four-element mimo antenna for ultra-wideband communications with a rejection band
Authors:   , Muhammad Aale
Published: September 2023

This thesis presents the design and development of a four-element multiple-input multiple-output (MIMO) ultra-wideband antenna with a rejection band. This antenna is proposed for the application of ultra-wideband (UWB) technology, an advanced short-range wireless communication technology with fast and stable data transmission. The antenna operates in a wide frequency range from 3.1 to 10.6 GHz, which is intended for UWB communication technology. In addition, it can suppress the WLAN frequency band (4.8 to 6.2 GHz). This frequency suppression is necessary to avoid interference from WLAN signals, which usually have a higher power density. The antenna provides a bidirectional radiation pattern with dual-linear polarization. The proposed MIMO antenna consists of four printed monopoles, two on each side of the FR-4 substrate, as radiators. Each monopole is fed by a coplanar waveguide (CPW). The overall size of the antenna is compact with dimensions of 51 mm x 51 mm. Band rejection is achieved by introducing inverted L-shaped notch elements on both sides of the radiators. An inverted Y-shaped element is used to achieve good isolation between the radiators. Moreover, the radiators are orthogonally arranged on opposite sides to improve isolation and create two orthogonal polarizations. The designed MIMO antenna was modeled, analyzed, and optimized using Ansys HFSS software. The antenna prototype was then fabricated and tested in an anechoic chamber. The measured results show reasonably good agreement with the simulated results. The present antenna is also compared with some selected antennas from previous works.
A comparative study on artificial intelligence-based methods for fault detection, classification, and localization in distribution lines
Authors:   , Kumari Nanda
Published: September 2023

In recent years, supervised machine learning (SML) has demonstrated its effectiveness in pattern recognition and outcome prediction within datasets. The objective of this research is to develop an algorithm that utilizes SML classification and regression equation capabilities to accurately classify and locate faults occurring in electricity distribution lines. The proposed algorithm takes the measured values of electrical current and voltage at one end of the distribution line as input data and outputs the type of fault. The algorithm evaluates its performance by simulating the IEEE 14-bus power system using MATLAB and generating various types of faults at different locations and with different fault resistances to create a comprehensive fault database. The algorithm can employ various types of SML techniques and approaches, including Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and the Least Mean Squares (LMS) regression method, to compare their abilities in classifying fault types and identifying fault locations. Additionally, the study investigates the system's vulnerability to variables such as uncertainty in transformer instrument measurements and the presence of generator or transmission line outages in the power system.
A linear matrix inequality approach to design state feedback control for non-polynomial nonlinear systems
Authors:   , Lim Phing
Published: September 2023

This thesis aims to design a state feedback controller for non-polynomial systems with bounded control inputs. The problem formulation begins by transforming the non-polynomial systems into polynomial systems. This can be done by defining non-polynomial terms as new state variables with algebraic constraints satisfying the non-polynomial properties. This method avoids the approximation of the recast polynomial systems. Then we design the state feedback control based on the extended Lyapunov stability theorem and the quadratic performance criterion. Two state feedback control laws are proposed: Theorem 1 for static Lyapunov matrix variables and Theorem 2 for polynomial ones. For Theorem 1, the design conditions are derived in terms of linear matrix inequality constraints. An upper bound on the optimal quadratic cost function can be readily obtained using available LMI solvers. Similarly, the design condition in Theorem 2 is derived as linear matrix inequality constraints. However, with a prior fixed degree of Lyapunov matrix variable, these constraints become state-dependent linear inequality matrices, which can be solved by using the sum of squares technique. Numerical examples are provided to demonstrate the effectiveness of the proposed control design.
Effect of drop-out layers inside recurrent neural networks in household load forecast application
Authors:   , Soomro Sanaullah
Published: September 2023

Ensuring precise power load forecasting is highly important in planning the secure, steady, and cost-effective functioning of the power system. Grid planning and decision-making can be based on accurate long- and short-term power load forecasting. Recently, machine learning techniques have gained widespread adoption for both long- and short-term power load forecasting. Specifically, the Long Short-Term Memory (LSTM) is customized for time series data analysis. This research proposes an LSTM model for forecasting the power load of a single house containing electrical appliances over the next 20 days. We conducted a comparative analysis of the impact of dropout layers in load forecasting applications using the LSTM model. The proposed model comprises dropout rates of 0.2, 0.3, 0.4, 0.5, and 0.6, respectively. Their impact on load forecasting is examined. The experimental results demonstrate slight variations in predictions when altering dropout layers. The results show that the effect of dropout layers on the forecast varies the accuracy by only approximately 1%. However, the models with significant dropout rates are more general than those with lower or higher rates. So the model with a dropout rate of 0.4 is suggested.
Applications of deep learning framework and localization to intelligent radio spectrum monitoring
Authors:   , Le Truong
Published: September 2023

In this thesis, the author proposed an intelligent radio spectrum monitoring system with implemented deep learning framework. Deep learning is a powerful method to handle hard tasks automatically. The system uses the RTL-SDR USB dongle as the sensor to collect the spectrum data. This dongle is a low-cost device that can measure the signal from 500kHz to 1700MHz. The maximum bandwidth of measurement is 2MHz. The main functions of this system are to collect the spectrum data and then detect the representation signals and extract their characteristics, such as bandwidth, center frequency, modulation type, and capacity. The modulation classification task was done with the deep learning Long Short-Term Memory model. The model can achieve up to 92% accuracy in the validated dataset. Compared to the result in the paper Convolutional radio modulation recognition networks O’Shea, T. J., Corgan, J., & Clancy, T. C. (2016), the model shows higher accuracy (92% vs. 87.4%). In addition, the model can run with a wide range of Signal-to-Noise Ratio values, while the other research papers often analyzes with a specific value. Finally, an algorithm of localization was implemented in the system in order to find the position of the unwanted or illegal signals. The average error of the algorithm in this thesis is 450m.
Online self-learning system for prediabetes patients
Authors:   , Myint Ye
Published: September 2023

This thesis implements a web-based application that combines a 3D learning center and educational game to facilitate the monitoring, management, and treatment of patients with prediabetes mellitus, by providing exercise plans and controlled diets. The application utilizes advanced web technologies, 3D modeling, and gamification principles to create an engaging learning experience. User-centered design ensures usability, and testing demonstrates positive outcomes, including increased knowledge, motivation, and engagement. This research contributes to digital health interventions by empowering prediabetes patients with informed decision-making and healthy habits. Future directions include expanding the application, refining the user interface, and evaluating long-term impact on prediabetes management.
Green supplier evaluation and selection for a furniture sales company
Authors:   , Li Jiahao
Published: September 2023

This paper proposes a supplier evaluation method for a furniture sales company in China that focuses on the evaluation process and sustainability of business operation. Firstly, we have arranged a meeting with experts from various fields to gather information concerning evaluation problems and choices of evaluation indicators. We then go through the literature in the field of supplier evaluations to create a new green supplier evaluation indicator system comprising of 5 first-level and 19 second-level evaluation indicators. Once selected, the Fuzzy-entropy-TOPSIS approach has been adopted for the evaluation of 13 suppliers via MATLAB. We find that, among these suppliers, S1 and S11 are the best suppliers in terms of greenness, quality, and flexibility to meet the case study company’s sustainability and greenness needs. We also conduct a sensitivity analysis to verify objectivity and stability of the Fuzzy-entropy-TOPSIS approach by changing the subjective weight.
The effects of peer feedback and self-regulated learning on Thai EFL university students’ essay writing ability and self-regulation
Authors:   , Prompan Jantra
Published: September 2023

The primary objective of this mixed-method study was to explore the effectiveness of integrating peer feedback and self-regulated learning (SRL) in improving students’ essay writing ability and self-regulation. The study also investigated the relationship between students’ essay writing ability and their self-regulation, as well as explored students’ attitudes towards the intervention. During the 12-week online instruction necessitated by the pandemic crisis, a group of thirty-five 3rd year students majoring in Business English at Nakhon Pathom Rajabhat University were instructed in essay writing using peer feedback activities and SRL techniques. Data collection involved an essay writing test, a self-regulation questionnaire, semi-structured interviews, and an attitudes questionnaire. Descriptive statistics, inferential statistics, and content analysis were employed to analyze the data.

The findings of the study indicated a significant improvement in students’ essay writing ability and self-regulation after the implementation of the intervention. However, no significant relationship was observed between students’ essay writing ability and their self-regulation. Additionally, students exhibited positive attitudes towards the intervention. These findings underscore the feasibility and importance of incorporating interdisciplinary dimensions of education, including instruction, assessment, and social-cognitive theory, to enhance students’ academic performance and lifelong learning strategies. Furthermore, the study suggests that peer feedback and SRL strategies can be effectively delivered and taught through online platforms, which aligns with the growing trend of online instruction in the post-pandemic era.
The use of portfolio in assessing English writing ability of Thai undergraduate students
Authors:   , Punyapratheep Kritsada
Published: September 2023

This research study aimed to (1) develop the criteria of the portfolio assessment in assessing English writing ability, (2) document the progresses of the students’ English writing ability by using portfolio assessment, and (3) investigate the perceptions toward the use of portfolio assessment in assessing English writing ability in a classroom-based setting of Thai EFL undergraduate students. The 25 first-year students who had enrolled in an English foundation course offered at a public university were the participants. These participants completed two types of essays, which comprised eight drafts in total for compiling the portfolios. Reflective journals, a perception questionnaire, a semi-structured interview, and a portfolio self-assessment form were utilized to collect data so that the perceptions toward the use of portfolios could be examined. The quantitative data from the perception questionnaire were analyzed by descriptive statistics (mean scores and standard deviation). The qualitative data from the reflective journals, semi-structured interview, and portfolio self-assessment form were analyzed by means of content analysis. Moreover, the progress of the eight drafts of two types of essays was analyzed by repeated measure ANOVA. It was found that there were four criteria of portfolio assessment in assessing English writing ability. Also, the participants had positive perceptions toward the use of portfolio assessment, and they wrote significantly better essays. In sum, portfolio assessment can be an effective alternative choice in a classroom-based setting.
Why is the third principal component of the yield curve important: A point of view from reverse stress test on credit portfolio
Authors:   , Ritpornnarong Phanuwat
Published: September 2023

The focus of this study is to analyze the shape of the yield curve on credit portfolios during crises, specifically those that are exposed to both interest rate and credit risks. To achieve this, We utilized a reverse stress test (RST) and macroeconomic measures (such as GDP and U.S risk-free yields) from the period of 1981 to 2014 to estimate mathematical models. We then utilized a Monte Carlo simulation to determine the most likely scenario for the measures if the portfolio value reaches a pre-specified threshold.

The researchers discovered that the shape of the stressed yield curves varied depending on whether or not the third principal component of the yield curve was included in the analysis. They found that stressed credit portfolios with maturities ranging from 0.5 to 3 years exhibited a humped shape on yields within that range when the third principal component was included. As stress levels increased, this humped shape became more pronounced, indicating that the stressed credit portfolio's value was impacted by rising yields.

This study's findings have significant implications for financial institutions as they consider the third principal component in their asset-liability management for portfolios with maturities between 0.5 and 3 years.
Development and validation of smartphone nutrition application for supporting dietetic professional practice
Authors:   , Tantichaiyakul Thanasak
Published: September 2023

Advancements in technology have allowed for the development of applications for supporting the nutrition care process. The objectives of this study were to develop and validate a nutrition application incorporating the food and nutrtion databases, and to assess the satisfaction of dietitians toward the developed application. Seventy registered dietitians were recruited to evaluate two sets of the food photographs prepared based on Thai food exchange list (Thai FEL) and Thai food based dietary guideline (Thai FBDG) for three consecutive days. The participants estimated and calculated manually using calculators, following by using the application. The participants’ satisfaction indicated acceptance (overall score = 4.43 ± 0.67) and positive impressions toward the application. Both food exchange lists based NDPro applcations resulted in a significant reduction in time usage (p < 0.01). Furthermore, the application could analyze the data accurately indicating its performance as acceptable in terms of reliability and stability. Additionally, the results of energy and macronutrient contents from the Thai FEL based application also significantly differed from those calculated manually (p < 0.05) with 5% difference in fat and 7 - 8% difference in carbohydrate and energy.  However, for the Thai FBDG based application, it was required to modify the representative values of some food groups for improving reliability.
Geomorphological change of the upper Yom river in Phrae province
Authors:   , Nan Kakkhanang
Published: September 2023

Yom River is the main tributary of the Chao Phraya River; the upper Yom River flows through Phrae Province. This research selected the upper Yom River because of meander processing in an active basin, which rapidly migrates and changes landforms all the time, The object of this research is to study geomorphological change, thickness and behavior of the upper Yom River in Phrae Province.

By assessing aerial photographs and satellite images from 1954 to 2019, the researchers were able to interpret the geological changes that occurred over the past 65 years. The study identified several geomorphological changes from channel migration which can be obvious on maps. The upper and middle sections of the research site, characterized by a flat and wider floodplain area, exhibited more remnants of cut-offs compared to the lower section. To compare the changes, five geomorphic criteria were used: channel width (W), channel length (L), sinuosity index (SI), radius of curvature (Rc), and channel migrations. The width (W) underwent significant alterations due to increased bank deposition resulting from human activities and deforestation. Changes in land use were found to have various impacts on runoff and sediment supply. The channel's length and sinuosity index (SI) showed a decreasing trend, indicating frequent cut-offs at the neck and chute during floods. Erosion rates were observed to be lower in the upper and middle parts of the Yom River due to previous cut-offs, while the lower portion exhibited active bending as evidenced by migration rates versus Rc/W values. Lower Rc/W values corresponded to slower rates of bend migration.

The sedimentology and geophysics field investigation from different landforms. Grain size analysis revealed sediment types including mud, sandy mud, muddy sand, sand, gravelly sand, and sandy gravel in point bars and paleo-channels, and mud and sandy mud in floodplains and meander scars. ERT and GPR analyses provided insights into the lithological characteristics of the study area. The ERT profiles displayed visible vertical and horizontal changes in fluvial deposits, which ranged in thickness from 5 to 20 meters, similar to the floodplain, point bar, and paleo-channel. Additionally, five types of radar facies were observed in river deposits: Continuous (Parallel), Inclined, Concaved-up (Channel fill), Chaotic, and Reflection Free.

This study's comprehensive analysis of various data sources and techniques shed light on the geomorphological changes that have occurred in the upper Yom River over the past decades. The findings also contribute to our understanding of the Yom River behaviors, landform evolution, the sediments and the paleochannels' thickness.
Remote sensing and luminescence dating of archaeological sites in Buriram province, northeastern Thailand
Authors:   , Khamsiri Sutthikan
Published: September 2023

This research aims to apply remote sensing and luminescence dating to study archaeological sites in Buriram Province, Northeastern Thailand. There are three main objectives including 1) to model the ancient path from the mountain passes along the Dângrêk mountain to ancient community on Angkor Highland or Northeast Thailand, 2) to directly date slag from the ancient iron smelting site at Ban Sai To 7, and 3) determine the terminal age of Ban Sai To 7 site using technical ceramics.

Firstly, the results of the GIS-based least cost path (LCP) route, using topographic factors, show that Ta Muen, Sai Ta Ku, and Krang are the most suitable for transportation between the Khorat plateau and present Cambodia. These results are consistent with archaeological evidence i.e., Dharmasalas. Most Khmer monuments are located in the vicinity of LCP routes. Moreover, the LCP route of Ta Muen is significant with the location of the ancient industrial zone in Ban Kruat District. However, most ancient smelting sites were in the Iron Age, although they were assumed to be active during the Khmer period when compared with the relative findings.

The major challenge of archaeometallurgy is the limitation of suitable sample for the scientific dating method. Therefore, the second is to investigate the absolute date of slag in the ancient iron-smelting site at Ban Sai Tho 7 by luminescence dating. The result slag shows the luminescence signal. Therefore, luminescence dating is an effective method to directly date slag. Moreover, the results show that the terminal activity of this site is 140 years ago. This result is in good agreement with the terminal period of ancient iron smelting in Cambodia.

Finally, the dates of technical ceramics i.e., furnace and tuyere fragments in the slag heap at Ban Sai Tho 7, show that there were at least two different periods of furnace construction including 360-370 years and 1000-1110 years ago. It is indicated that there are many phrases of smelting in one heap. When comparing the ages between slags and technical ceramics, the results of these two materials are in good agreement. Moreover, this finding shows that the large size of the ancient iron-smelting site at Ban Sai Tho 7 came from a long operational lifespan rather than a large operation in a short period. The route of ancient transportation is significant with the location of ancient industrial zone especially ancient iron-smelting sites that had been since the Iron Age, the Khmer Period and the post-Khmer period.
Whitening of calcium carbonate tailings using attrition process: a case study of Khar Toum deposit, Lopburi province, Thailand
Authors:   , Wongkaewphothong Bancha
Published: September 2023

Calcium carbonate (CaCO3) is one of the industrial minerals that usually use in various applications in many industries (e.g., plastic, rubber, paint, paper). However, salable CaCO3 products need to meet the requirement for each application. Whiteness is one of property that really important especially the application that concern about the color like paint and paper industries. In this study, to recover and utilize out of spec ores, the effects of attrition scrubbing process (i.e., retention time and solid in pulp) on the whiteness of the CaCO3 tailings were investigated. The CaCO3 samples were screened to obtain –300, +300–600, +600–1000, +1000–2360, +2360–4000, and +4000 µm size fractions. From the material characterization, the fine particles (–300 µm) showed the lowest whiteness index (i.e., < 80%) while other size fractions were higher (i.e., > 80%). To increase the whiteness index, attrition scrubber was applied to remove the impurities on the CaCO3 surface with difference solid percentage (i.e., 40, 45, 50, 55, 60, and 70%) and retention time (i.e., 10, 15, 20, and 25 min) as condition. The result in laboratory-scale found that the attrition scrubbing method can improve whiteness property and reduce iron content in calcium carbonate tailing. The optimum condition was at 55 solid percentage which was used in the pilot-scale experiment. The result was in line with the laboratory-scale, the whiteness was improved to meet the market standard. Therefore, the attrition scrubbing process can be used to improve the quality of calcium carbonate tailing.
The potential risk and occupational exposure of pesticides among rice farmers in delta Ayeyarwady division, Myanmar
Authors:   , Khin Moe
Published: September 2023

This study aims to assess the potential risk and occupational exposure of pesticides among rice farmers in the Delta Ayeyarwady Region, Myanmar. A cross-sectional study was carried out with 454 rice farmers from March-April 2022. Data collection was done through face-to-face interviews used with a semi-structured questionnaire. The study showed that the mean age of farmers was 44.36 years old while the range was 16 and 74 years old. Rice farmers' average weight (± standard deviation) was 56.86 (± 7.30) kg. In this study, over two-thirds of the rice farmers (77 %) had a moderate level of knowledge regarding environmental awareness related to pesticides, exposure, and toxicity of pesticides. Likewise, almost rice farmers in the participants (94 %) had a moderate practice level regarding pesticide handling, management, storage, and hygiene. Regarding potential of risk assessment, in the cross-sectional study of rice farmers in Ayeyarwady, (87%) of the respondents applied insecticides while 73 % and 29% were herbicides and fungicides users, accordingly. For determination of health risk assessment, inhaling a large amount of organophosphate group (acephate, chlorpyrifos, and dimethoate, pyrethroids group (Lambda-Cyhalothrin and cypermethrin) and carbonate group (carbofuran and cartap hydrochloride) during loading, mixing, and spraying of these pesticides without proper respirators. To evaluate the potential occupational exposure of rice farmers in this community, the mean average daily dose (ADD) of acephate, chlorpyrifos, and dimethoate of the organophosphate group was 8× 10-3 mg/kg-day, 1.53 × 10-3 mg/kg-day and 7.91 × 10-3 mg/kg-day, pyrethroid group of cypermethrin 1.91 × 10-3 mg/kg-day and lambda-cyhalothrin 1.26× 10-4 mg/kg-day, and carbonate group of carbofuran and cartap Hydrochloride of rice farmers at 2.27× 10-3 mg/kg-day and 9.6×10-4 mg/kg-day, respectively. To characterize non-cancer risk, a hazard quotient (HQ) was applied. The HQ for the organophosphate group of chlorpyrifos acute and sub-chronic exposures was 5.1 times while 23.93 times was chronic exposure exceeded the acceptable level (greater than 1) in both short-term and long-term. In conclusion, there has a higher potential of inhalation exposure for rice farmers in Ayeyarwady, Delta Region in Myanmar might be exposed to chlorpyrifos of organophosphate group in pesticide application. Regarding, health adverse effects related to pesticide exposure, most of the rice farmers in the study areas suffered acute symptoms was dizziness accounted for 239 (53%). Likewise, (31.8%) of rice farmers suffered from dizziness as a sub-chronic symptom within one month after application of the pesticide. In addition, subjective signs, and symptoms related to pesticide exposure (14%) of the participants often suffered headaches, and (9%) feeling nervous were the most occurrence symptoms.
Multi-objective vehicle loading and routing problem for fresh fruit and vegetable transportation
Authors:   , Krairiksh Supisara
Published: September 2023

Multi-compartment refrigerated vehicles are recently utilized in the cold chain industry, due largely to their flexibility in storage capacities with different temperature settings. To better comprehend the costs and benefits of this vehicle type in fresh fruits and vegetable transportation, a multi-compartment vehicle routing and loading problem (MCVRLP) with three different objectives – namely (i) minimizing total transportation cost, (ii) minimizing CO2 emissions, and (iii) minimizing weight loss of fresh fruits and vegetable – is herein explored and solved by mathematical formulation and genetic-based evolutionary algorithm approaches. Based on our computational results, we find that large and complicated MCVRLP instances are less likely to be solved to optimality by CPLEX solver within a reasonable computational time period, due to its complexity. However, the proposed genetic-based evolutionary algorithm seems to work well under all MCVRLP settings, as it could provide solutions that match the optimal solutions to small MCVRLP instances and those that outperform CPLEX solutions in larger ones. We also find that, with the same input information, slight differences in loading and routing may lead to solutions with totally different quality; and, interestingly, solutions with fewer vehicles might be worse off in terms of cost under the same routing, due to different temperature settings, which are results from loading decisions.
Climate Imaginaries and Human Mobility: Complicating Climate Mobility as Adaptation in Thailand
Authors:   , Steiner Clare
Published: September 2023

For centuries, agricultural households in Thailand have engaged in mobility to adapt to environmental change and climate shocks. However, current framings of “climate migration as adaptation” obscure how these adaptation pathways are constructed by existing power relations, leaving institutions liable to re-enforce inequality. This thesis uses the concept of “imaginaries” to de-construct how certain knowledge and values advance over others in the process of negotiating and acting towards a preferable future. It employs a dual methodological approach with a case study of Baan Non Daeng in Ubon Ratchathani, Thailand to analyze dominant imaginaries in Thailand and their function and limitations in assessing smallholder farmer mobility decision-making in the context of slow on-set environmental change. The thesis first performs a discourse analysis of institutional policy texts on climate change, migration, and development in Thailand to find that institutions value futures that encourage smallholder farmers to leverage their existing resources and act as entrepreneurial agents of development. It also finds that climate mobility imaginaries are founded on the idea of the well-resourced migrant who has access to longer distance mobilities that can transform rural livelihoods. The thesis then uses interviews conducted in Baan Non Daeng to complicate these imaginaries and engage with structural political economy factors driving relative (im)mobilities. It finds that relative positioning influences household perceptions of environmental risks and resources that contribute towards differing practices and scales of mobility. The thesis ends by arguing for processes like knowledge co-production and translocal visioning that better address root issues of marginalization in policy and practice.
Migrant trainees and social inclusion : a study of construction and electronics company in Japan
Authors:   , Watanabe Kazuhiro
Published: September 2023

This research analyzed the Technical Intern Training Program (TITP) by using the concept of social inclusion and discussed the factors that inhibit the social inclusion of trainees. Not much previous research on has been done on this because trainees are allowed to stay in Japan temporarily and they must go back to their home countries after the training is over. However, trainees contribute economic growth in Japan and play an important role for solving issues of the labor force. Realizing social inclusion of trainees is thus a significant issue for Japan. Factors that inhibit the social inclusion of trainees includes language barriers, institutional barriers”, and psychological barriers. Through a case study of Nagasaki city, the local governments’ initiatives contribute to include foreign trainees in Japanese society through programs such as citizen volunteers, language classes and legal consultation.

This research concluded that increasing the opportunities to contact foreign workers and Japanese workers in regards to understanding the issues that foreign workers face in Japan are key factors to realize the social inclusion of trainees. To realize the international development role of TITP and safe migration, it is necessary to create clear criteria for Japanese language education and create an environment where all stakeholders work together to support trainees.
FDI spillover channels on Chinese provincial economic growth
Authors:   , Wang Yiqing
Published: September 2023

China has been opened to the world over several years and make great success in economic growth. Most of the previous literatures have analyzed the determinants of economic growth and the effect of FDI on economic growth in China. However, seldom of them analyze the relationship of FDI and its spillover effect on economic growth through R&D and human capital channels using provincial data. The study employs provincial panel data during period 2006-2018 to estimate the relationship of FDI, FDI spillover from R&D and human capital, R&D, and human capital on economic growth under the consideration of Special economic Zone and Free Trade Zone in China.

The analysis suggests that FDI has a significant positive contribution on the growth rate of real GDP per capita in China. Therefore, government should maintain high inflow of FDI and make more preferential policies to attract FDI to invest in China. The result also shows that population growth rate would help promote economic growth. The government should keep the population growth rate to help stimulating growth. Moreover, the empirical result shows that current inflation is also a factor to foster economic growth. This study cannot prove the contribution of human capital, R&D and FDI spillover through human capital and R&D on growth rate due to lack of skilled labor in provincial data and the decline of R&D efficiency in China. The study suggests that more favorable policies and measures can be used to target FDI in industries with high technology. In addition, stimulating advanced R&D level and technological transfer could accelerate economic growth.
A study on government lottery buying behavior : the cases of Thai consumers in Bangkok and korean consumers in Seoul using online questionnaire
Authors:   , Tongboriboon Korakoj
Published: September 2023

The research investigates the important factors influencing the government’s lottery buying behavior. The objectives of this research are to study the behavior of the lottery consumers between Thai and Korean consumers. The number of participants of Thai and Korean consumers should be separated. Among the total of 864 consumers, 445 consumers are Thai and the other 419 are Korean. This research employs a quantitative research design, and the data is collected by a questionnaire as a research tool. The data is statistically analyzed by percentage, means, standard deviation, Chi-square and Logistic Regression.The results show that the differences between Thai and Korean lottery buying behaviors are statistically significant at the .05 level. The findings are that the factors affecting the decision to buy the government lottery for both Thai and Korean consumers are the need for prize money, the favor of gambling, and superstition are the factors that affect the decision to buy the government lottery.
Juxtaposition images of two Koreas portrayed in Crash Landing on You and its effect on Thai audiences' perspective
Authors:   , Chanthanee Phonpraphai
Published: September 2023

This study examines the historical and political contexts of the two Koreas in terms of different ideologies that affect various elements of society by exploring insights into the backgrounds of South Korea and North Korea from a literature review. To analyze the disparities between the two nations, the research focuses on the scripts, visuals, and hidden agendas depicted in the renowned Korean series Crash Landing on You, along with investigating the production process and relevant interviews. In addition to exploring the narration, the study also surveyed the impact of the drama on the international perspective of the two Koreas through the eyes of foreigners. Each Korea achieves its newly formed ideological constructs, which play an important part in shaping areas of society such as the way of life, language, and social value. Crash Landing on You was designed to depict the contrasting visuals between South Korea and North Korea which outsiders never had perceived before. As a result, the more they diverge, the more vivid their national images are. Even while the series focuses mostly on highlighting the differences between the two, what is also delivered is a story of the Korean Peninsula nowadays.