Witchuda Thongking, P. Mitsomwang, B. Sindhupakorn, Jessada Tathanuch
This research applied the convolutional neural network (CNN algorithm) to determine the misalignment of vertebral column from the processed image. The raw data was the 3D-computerized tomography (CT) provided by the Suranaree University of Technology Hospital, Nakhon Ratchasima, Thailand. There were 93 data sets that comprised 40 data of misalignment vertebral columns. These studies first extracted front, rear, left, and right images of the vertebral column from 3D CT images by RadiAnt Program (Version 2020.2). In the second step, the images were processed by the Ridge detection algorithm with various parameters. The combinations processed were of sigma 1, 4, 7, and 10 with the two low-high thresholds, 10-30 and 20-20. The last step was about the Python code development (with Tensorflow, Numpy, and Sklearn libraries) for creating the model to classify the normal and abnormal vertebral column image sets by the CNN algorithm. The best model could perform very well. The model with Ridge detection preprocessing of parameters sigma=7, low threshold=20, and high threshold=20 performed faultlessly. The performance was accuracy 100 percent, precision 100 percent, and recall 100 percent.
本研究采用卷积神经网络(CNN算法)从处理后的图像中确定脊柱的错位。原始数据是由泰国那空叻差玛Suranaree科技大学医院提供的3d计算机断层扫描(CT)。共有93个数据集，其中40个数据为脊柱错位。这些研究首先通过RadiAnt Program (Version 2020.2)从3D CT图像中提取脊柱的前、后、左、右图像。第二步，采用不同参数的Ridge检测算法对图像进行处理。处理的组合为sigma 1、4、7和10，具有10-30和20-20两个高低阈值。最后一步是Python代码开发(使用Tensorflow, Numpy和Sklearn库)，用于创建模型，通过CNN算法对正常和异常脊柱图像集进行分类。最好的模型可以表现得很好。对参数sigma=7、低阈值=20、高阈值=20进行Ridge检测预处理的模型无故障。准确率100%，准确率100%，召回率100%。
{"title":"Analysis and Classification of Abnormal Vertebral Column by Convolutional Neural Network Algorithm","authors":"Witchuda Thongking, P. Mitsomwang, B. Sindhupakorn, Jessada Tathanuch","doi":"10.55766/eifn7177","DOIUrl":"https://doi.org/10.55766/eifn7177","url":null,"abstract":" This research applied the convolutional neural network (CNN algorithm) to determine the misalignment of vertebral column from the processed image. The raw data was the 3D-computerized tomography (CT) provided by the Suranaree University of Technology Hospital, Nakhon Ratchasima, Thailand. There were 93 data sets that comprised 40 data of misalignment vertebral columns. These studies first extracted front, rear, left, and right images of the vertebral column from 3D CT images by RadiAnt Program (Version 2020.2). In the second step, the images were processed by the Ridge detection algorithm with various parameters. The combinations processed were of sigma 1, 4, 7, and 10 with the two low-high thresholds, 10-30 and 20-20. The last step was about the Python code development (with Tensorflow, Numpy, and Sklearn libraries) for creating the model to classify the normal and abnormal vertebral column image sets by the CNN algorithm. The best model could perform very well. The model with Ridge detection preprocessing of parameters sigma=7, low threshold=20, and high threshold=20 performed faultlessly. The performance was accuracy 100 percent, precision 100 percent, and recall 100 percent.","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130092885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reasons First By Mark Schroeder","authors":"Theptawee Chokvasin","doi":"10.55766/nedc3427","DOIUrl":"https://doi.org/10.55766/nedc3427","url":null,"abstract":"<jats:p>-</jats:p>","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124493279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The classroom teaching and learning in the 21st century stress creativity and innovation. So, the use of information and communication technology (ICT) is seen as an important means to foster innovation. However, without genuine interest from teachers, it is difficult to integrate ICT in classroom instruction. Teachers are the engines that enhance the digitization of school teaching and learning process. However, the determination to implement ICT in the school curriculum and instructions lies in the hands of school leaders as rigorous use of ICT in teaching and learning could be effective if school principals provide required support. Therefore, this study examined the relationship between principals’ technology leadership behavior and teachers’ use of ICT in classroom teaching and learning in Bhutan. Data was gathered from 329 middle secondary school teachers through survey questionnaires. The study found that principals’ technology leadership behavior in Bhutan was at moderate levels with a positive relationship to teachers’ use of ICT. Likewise, statistical analysis revealed that two predictors of the principal’s technology leadership dimensions: support, management and operation; and productivity and professional practices were the best predictors of teachers’ use of ICT in the classroom.
{"title":"Principals’ Technology Leadership Behavior and Teachers’ Use of Information and Communication Technology (ICT) in Bhutan","authors":"Lotey Gyeltshen","doi":"10.55766/wirg3818","DOIUrl":"https://doi.org/10.55766/wirg3818","url":null,"abstract":" The classroom teaching and learning in the 21st century stress creativity and innovation. So, the use of information and communication technology (ICT) is seen as an important means to foster innovation. However, without genuine interest from teachers, it is difficult to integrate ICT in classroom instruction. Teachers are the engines that enhance the digitization of school teaching and learning process. However, the determination to implement ICT in the school curriculum and instructions lies in the hands of school leaders as rigorous use of ICT in teaching and learning could be effective if school principals provide required support. Therefore, this study examined the relationship between principals’ technology leadership behavior and teachers’ use of ICT in classroom teaching and learning in Bhutan. Data was gathered from 329 middle secondary school teachers through survey questionnaires. The study found that principals’ technology leadership behavior in Bhutan was at moderate levels with a positive relationship to teachers’ use of ICT. Likewise, statistical analysis revealed that two predictors of the principal’s technology leadership dimensions: support, management and operation; and productivity and professional practices were the best predictors of teachers’ use of ICT in the classroom.","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129869971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In higher education, much attention has been focused on the enhancement of the educational experience, allowing students to successfully develop and thus make the most of not only their potential, but also the numerous other benefits education has to offer. Being engaged both institutionally and academically plays a vital part in developing their potential and performance. Therefore, this paper studied the engagement level towards the academics at the Institute of medicine. Factors contributing to institutional engagement were also analyzed. The participants include 229 medical students. Each participant was asked to answer a general demographic questionnaire, the Institute engagement questionnaire, the Utrecht Work Engagement Scale–Student version (UWES-S) questionnaire, and a questionnaire of all relevant factors. Student engagement was assessed through statistical analysis. These included percentage, mean, standard deviation, and stepwise multiple regression of the constituent factors. The Institute engagement level was 3.73. Factors that significantly pertained to the engagement level were teachers (p = 0.01*), staff (p = 0.01*), friends (p = 0.02*), and seniors peers (p = 0.03*), respectively. Academic engagement was found to vary by the level of study. Medical students in their 1st, 2nd, and 3rd years exhibited engagement levels of 4.94, 4.87, and 4.55, respectively. Given the group, students’ engagement toward the university was of a high level. The most important contributing factors were their relationship with teachers, staff, friends, and senior peers. However, the academic engagement level tended to decrease as study progressed. It was conjectured that this notable decrease resulted from increasing complexity in the program as specified by the curriculum. Positively engaged students better adapt to the academic context of higher education. Hence, they are much likely to succeed.
{"title":"Factors Contributing to Students Engagement: A Case Study at the Institute of Medicine at SUT","authors":"Areerat Siripongpan, Theeranit Namkunee, Paramate Horkaew","doi":"10.55766/avfz5974","DOIUrl":"https://doi.org/10.55766/avfz5974","url":null,"abstract":" In higher education, much attention has been focused on the enhancement of the educational experience, allowing students to successfully develop and thus make the most of not only their potential, but also the numerous other benefits education has to offer. Being engaged both institutionally and academically plays a vital part in developing their potential and performance. Therefore, this paper studied the engagement level towards the academics at the Institute of medicine. Factors contributing to institutional engagement were also analyzed. The participants include 229 medical students. Each participant was asked to answer a general demographic questionnaire, the Institute engagement questionnaire, the Utrecht Work Engagement Scale–Student version (UWES-S) questionnaire, and a questionnaire of all relevant factors. Student engagement was assessed through statistical analysis. These included percentage, mean, standard deviation, and stepwise multiple regression of the constituent factors. The Institute engagement level was 3.73. Factors that significantly pertained to the engagement level were teachers (p = 0.01*), staff (p = 0.01*), friends (p = 0.02*), and seniors peers (p = 0.03*), respectively. Academic engagement was found to vary by the level of study. Medical students in their 1st, 2nd, and 3rd years exhibited engagement levels of 4.94, 4.87, and 4.55, respectively. Given the group, students’ engagement toward the university was of a high level. The most important contributing factors were their relationship with teachers, staff, friends, and senior peers. However, the academic engagement level tended to decrease as study progressed. It was conjectured that this notable decrease resulted from increasing complexity in the program as specified by the curriculum. Positively engaged students better adapt to the academic context of higher education. Hence, they are much likely to succeed.","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In tragic news, the use of loaded words is one prominent device in constructing effective news headlines to draw interests and provoke readers’ emotions (Clark, 2007). Nevertheless, with a dearth of research studies in this phenomenon, the aims of this qualitative study are to investigate 1) what word classes of loaded words are found in tragic news headlines, and 2) how these loaded words provoke emotions and reactions in news readers. First, 180 tragic news headlines were purposively selected from all news headlines on nine websites between July to October 2019 and analyzed. The findings revealed that nouns and verbs were the two most prominent word classes used as loaded words (48.18% and 33.64%, respectively). Moreover, these loaded words were found at both word and phrase levels. Second, to explore news readers’ emotions, the two main instruments were used: 1) online questionnaire with 20 news headlines were uploaded, finally, 52 male and female respondents from 22 countries participated and 2) semi-structured interview with 4 (7.69%) interviewees was conducted with another 20 news headlines to explore more in-depth responses. Their overall reflections revealed that, with the impacts of loaded expressions, four related main factors helped provoke their emotions: 1) strong emotive meanings of loaded words, 2) textual context of a news headline, 3) news readers’ experiences, and 4) news readers’ cultural and social backgrounds. Overall, this seems to suggest that not the use of loaded words alone is a prominent language device in creating enough impacts in writing news headlines, but textual and socio-cultural contexts also play essential roles in provoking their emotions and influencing further reactions. That is, news writers should be aware that integrating these strategies together is very important in writing news headlines.
{"title":"The Influences of Loaded Words in Tragic News Headlines on Readers’ Emotions","authors":"Chonnipa Nimtupariya, Pataraporn Tapinta","doi":"10.55766/npab2212","DOIUrl":"https://doi.org/10.55766/npab2212","url":null,"abstract":"In tragic news, the use of loaded words is one prominent device in constructing effective news headlines to draw interests and provoke readers’ emotions (Clark, 2007). Nevertheless, with a dearth of research studies in this phenomenon, the aims of this qualitative study are to investigate 1) what word classes of loaded words are found in tragic news headlines, and 2) how these loaded words provoke emotions and reactions in news readers. First, 180 tragic news headlines were purposively selected from all news headlines on nine websites between July to October 2019 and analyzed. The findings revealed that nouns and verbs were the two most prominent word classes used as loaded words (48.18% and 33.64%, respectively). Moreover, these loaded words were found at both word and phrase levels. Second, to explore news readers’ emotions, the two main instruments were used: 1) online questionnaire with 20 news headlines were uploaded, finally, 52 male and female respondents from 22 countries participated and 2) semi-structured interview with 4 (7.69%) interviewees was conducted with another 20 news headlines to explore more in-depth responses. Their overall reflections revealed that, with the impacts of loaded expressions, four related main factors helped provoke their emotions: 1) strong emotive meanings of loaded words, 2) textual context of a news headline, 3) news readers’ experiences, and 4) news readers’ cultural and social backgrounds. Overall, this seems to suggest that not the use of loaded words alone is a prominent language device in creating enough impacts in writing news headlines, but textual and socio-cultural contexts also play essential roles in provoking their emotions and influencing further reactions. That is, news writers should be aware that integrating these strategies together is very important in writing news headlines.","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121588299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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