This study aims to compare the effects of pain and stress among the Swedish massage groups, together with great stretching with the group receiving only Swedish massage and the group who received outstanding Static stretching only before and after the experiment. Methods: 30 volunteers with neck, shoulder, shoulder, and lower back pain were placed into three randomized trial groups of 10 each. The second group provided rehabilitation with the Swedish massage program only and the third group provided rehabilitation with the Static stretching program alone. The pain level was assessed with the visual analog scale; VAS and the stress level was assessed with the Suanprung stress test. Results: In terms of pain, it was found that the pain level between experimental group 1, experimental group 2, and experimental group 3. After the experiment, there was no statistically significant difference at the .05 level. and stress found between experimental group 1, experimental group 2, and experimental group 3. After the experiment, there was no statistically significant difference at the .05 level. This study found that all 3 methods can reduce pain immediately after rehabilitation.

The purpose of this research aims 1) to synthesis the visual elements that appear in the news graphic of the Bangkok Metropolitan Administration Data Center, 2) to synthesis agenda of public health communication using news graphic, and 3) to study the design of news graphic of the Bangkok Metropolitan Administration Data Center. This is a mixed methods research that uses textual analysis in 26 topics of news graphic during the COVID-19 crisis of the Bangkok Metropolitan Administration Data Center. The results of the research showed that the news graphic visual elements during the COVID-19 crisis of the Bangkok Metropolitan Administration Data Center had 3 aspects which consist of 1) data such as text, alphabet, and numeral, 2) image such as photograph, cartoon, chart or diagram, icon, and geometry, and 3) color tone such as warm tone, and cool tone. The public health communication of the Bangkok Metropolitan Administration Data Center using news graphic during the COVID-19 crisis has public health agenda that published which are 1) providing tidings and general information, 2) promoting awareness of risk factors, 3) raising social awareness, 4) promoting people participation, and 5) listening to opinions and feedback. Moreover, the design of news graphic during the COVID-19 crisis it consists of 1) objective, 2) target group, 3) content, and 4) channel.

A digital learning ecosystem with artificial intelligence for smart learning is the management of learning space and learning content through artificial intelligence (AI). In the instructional process, artificial intelligence is used to support instructors, support learners, automate grading and scoring, simultaneously a variety of student needs, provide personalized help for student and identify weaknesses in the classroom. Artificial intelligence digital learning ecosystem is divided into three learning spaces based on the nature of the area: 1)classroom, 2) beyond classroom, and 3) home. In this digital learning ecosystem, artificial intelligence has four main roles: 1) smart creator,2) virtual instructor,3) smart tutor, and 4) smart admin. The development of artificial intelligence digital learning ecosystem can encourage learners to use digital technology for smart learning at any place and time, including they have responsibilities for oneself, an instructor, and course content.

This study aimed to examine the emotional intelligence (EI) levels of youth athletes participating in the National Youth Games qualifying round. The sample consisted of 400 athletes under 18 years old from region 5, selected from a population of 5,840 using Yamane’s (1973) formula with a 95% confidence level and ±5% error. Stratified random sampling by gender and simple random sampling within strata were employed. The instrument was the Department of Mental Health’s EI Assessment for Adolescents, covering three dimensions: good, smart, and happy, with an overall reliability of 0.97. Data were analyzed using percentage, mean, and standard deviation. Results showed that both male (M = 136.58 ± 1.00) and female athletes (M = 137.85 ± 0.98) scored below normal in overall EI. Specifically, the “good” dimension (positive thinking) was below normal for both genders (male = 45.03 ± 7.03; female = 45.75 ± 6.25), while the “smart” (emotional control and decision-making) and “happy” (stress management and calmness) dimensions were at normal levels. These findings suggest that although youth athletes demonstrated lower positive thinking, they were able to regulate emotions and maintain psychological well-being. In conclusion, EI development programs for youth athletes should emphasize enhancing positive thinking alongside emotional regulation and mental health to strengthen their potential and competitive readiness.

This study constituted a comprehensive synthesis of research conducted in the domain of public relations multimedia within an educational institute during the unprecedented Covid-19 pandemic. The synthesis encompassed a meticulous examination of the research findings pertaining to the dimensions of content and media presentation, as well as the perception and satisfaction levels among the selected sampling groups concerning the employment of public relations multimedia. The investigation specifically focused on the case studies conducted at the Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi, throughout the Covid-19 pandemic. The research encompassed the past two academic years (2021–2022), and encompasses a total of ten nationally and internationally published studies. The synthesized findings provided compelling evidence of the adherence of these studies to the well-established ADDIE Model. Furthermore, a diverse range of multimedia formats were identified, including infographic posters, video motion graphic clips (accompanied by supplementary activities) in seven studies, video clips in two studies, and an electronic book in one study. Expert panel evaluations consistently indicated a high level of quality in terms of both content and media presentation. The perceptual and satisfaction assessments conducted among the sample group indicated exceptionally positive responses towards the utilization of multimedia in the public relations domain. Subsequent to the synthesis of textual data, the researchers employed the Tableau platform for data visualization, facilitating an enriched presentation of analytical insights.

Despite recent significant advances in big data analytics, there is substantial evidence of machine learning techniques that perform poorly when building prediction models. This research aimed to investigate the performance and effectiveness of machine learning techniques including Naive Bayes (NB), PART, Random Forest (RF), Support Vector Machine (SVM), Adaboost, and Bagging in order to advance existing understandings of model behavior with big data. A large dataset of hospital-based breast cancer from the SEER data file with diagnostic information was used from 2005 to 2014. To address outliers and imbalance issues, we used C4.5 and Synthetic Minority Oversampling TEchnique (SMOTE) to eliminate outliers and balance the dataset. Stratified 10-fold cross-validation was used to divide the dataset to reduce bias and variance of experimental results. Accuracy, G-mean (G), F-measure, and Matthews correlation coefficient (MCC) are employed as criteria to present the overall performance of the models. Moreover, sensitivity, specificity, and precision are utilized as criteria to show the insightful performance of the models. The experimental results indicate that RF is superior to Naive Bayes (NB), PART, Support Vector Machine (SVM), Adaboost, and Bagging in all criteria. Also, models generated from datasets with few outliers and balanced data outperform the original dataset in terms of insight and overall performances.

The bullying on social communication is a situation that causes disgust to the minds of others or damages through the information technology network, divided into brawling, attacking relatives, deprivation, defamation, blackmail, trickery, intimidate, harassment, sexual and political threats, hypocrisy, fake profiles, and catfishing. The social media in school include Facebook, YouTube, Instagram, Twitter, LINE, email, and more. The technology to hinds bullying on social media is to bring the software to analyze the content of negative online communication and to automatically quarantine it from appearing to the public, consisting of text data detection type, images data detection type, videos data detection type, and audio data detection type. The application of technology to blocks cyberbullying in students' social media text, images, video, and audio by specifically for the official online media of the school only. The bullying on social communication is a situation that causes disgust to the minds of others or damages through the information technology network, divided into brawling, attacking relatives, deprivation, defamation, blackmail, trickery, intimidate, harassment, sexual and political threats, hypocrisy, fake profiles, and catfishing. The social media in school include Facebook, YouTube, Instagram, Twitter, LINE, email, and more. The technology to hinds bullying on social media is to bring the software to analyze the content of negative online communication and to automatically quarantine it from appearing to the public, consisting of text data detection type, images data detection type, videos data detection type, and audio data detection type. The application of technology to blocks cyberbullying in students' social media text, images, video, and audio by specifically for the official online media of the school only. In addition, effective hindering management, students who use social media should have a media literacy basis. Adults, teachers, or staff should be medium to high technology system managers.

การวิจัยนี้มีวัตถุประสงค์เพื่อ 1) ศึกษารูปแบบและเนื้อหาประกอบการพัฒนาชุดสื่อสติกเกอร์ 2) พัฒนาชุดสื่อสติกเกอร์ และ 3) ศึกษาผลการใช้ชุดสื่อสติกเกอร์ไลน์ที่ออกแบบโดยใช้เทคโนโลยีปัญญาประดิษฐ์เพื่อการสื่อสารการท่องเที่ยวเชิงวัฒนธรรมไทยสี่ภาค ผู้วิจัยใช้การวิจัยแบบผสานวิธี โดยนําผลการศึกษาเชิงปริมาณ มาสนับสนุนผลการศึกษาข้อมูลเชิงคุณภาพเข้าด้วยกัน ในวิธีการเชิงปริมาณมีเครื่องมือเป็นแบบสอบถาม กลุ่มตัวอย่าง ได้แก่ ผู้ใช้งานแอปพลิเคชันไลน์ในเขตเทศบาลนครอุดรธานีที่สําเร็จการศึกษาด้านนิเทศศาสตร์และสื่อดิจิทัลช่วงปี พ.ศ. 2567 จํานวน 80 คน โดยเลือกแบบเจาะจงสองขั้นตอน วิเคราะห์ข้อมูลเชิงสถิติด้วยค่าเฉลี่ย และส่วนเบี่ยงเบนมาตรฐาน และวิธีการเชิงคุณภาพมีเครื่องมือเป็นแบบสัมภาษณ์ กลุ่มผู้ให้ข้อมูลสําคัญ ได้แก่ ผู้เชี่ยวชาญด้านออกแบบสื่อดิจิทัลและปัญญาประดิษฐ์ การสื่อสารดิจิทัล และการสื่อสารการท่องเที่ยว จํานวน 9 คนโดยเลือกแบบเจาะจง วิเคราะห์ข้อมูลเชิงเนื้อหาและสรุปภาพรวมเชิงพรรณนา ผลการวิจัยพบว่า 1) ความต้องการรูปแบบและเนื้อหาของการพัฒนาชุดสื่อสติกเกอร์ไลน์ที่ออกแบบโดยใช้เทคโนโลยีปัญญาประดิษฐ์โดยรวมอยู่ระดับมากที่สุด (Mean = 4.77, S.D. = 0.40) โดยรูปแบบและเนื้อหาที่ผู้ให้ข้อมูลสําคัญต้องการ ได้แก่ สถานที่ท่องเที่ยว ภาษาถิ่นหรือภาษาประจําภาค ประเพณีหรือกิจกรรมที่สําคัญ และสัญลักษณ์อื่นที่สื่อถึงภาคนั้น ๆ 2) ขั้นตอนของการพัฒนาชุดสื่อสติกเกอร์ ได้แก่ ขั้นวิเคราะห์ ขั้นออกแบบ ขั้นพัฒนา ขั้นนําไปใช้ และขั้นประเมินผล 3) ประสิทธิภาพของชุดสื่อสติกเกอร์โดยรวมอยู่ในระดับมากที่สุด (Mean = 4.67, S.D. = 0.52) และ 4) ความพึงพอใจของผู้ใช้ที่มีต่อชุดสื่อสติกเกอร์ในภาพรวมอยู่ในระดับมากที่สุด (Mean = 4.55, S.D. = 0.58)