Lucia Malíčková, N. Daneshjo, F. Daňo, Renáta Ševčíková
The health effects of playing golf on the athlete's body is an interesting topic. The effect of golf on increasing blood saturation has low presence in the literature. This paper demonstrates the correlation of playing golf on improving health status after COVID-19 while this positive information has a potential to be used by the marketing management of various organisations to improve economics of golf activities. We analyse the change in saturation and heart rate after playing an 18-hole course, measured by pulse oximetry (% SpO2). Then we investigate the different aspects that have the greatest health benefit in golf. By following the effect of playing golf on blood oxygen saturation and heart rate in athletes we build a linear regression model explaining the impact 14 factors have on blood oxygen saturation. An 18-hole golf course caused a 1 ± 1.49% (p < 0.001) increase in venous blood O2 concentration and a 6 ± 8.09% (р < 0.001) increase in resting heart rate. Golf has the positive effect on the health status of athletes after recovery or vaccination for COVID-19 disease.
{"title":"Improved Blood Saturation of Golf Players After COVID-19 as Potential Marketing Management and Improved Economics of Golf Related Activities","authors":"Lucia Malíčková, N. Daneshjo, F. Daňo, Renáta Ševčíková","doi":"10.18421/tem122-43","DOIUrl":"https://doi.org/10.18421/tem122-43","url":null,"abstract":"The health effects of playing golf on the athlete's body is an interesting topic. The effect of golf on increasing blood saturation has low presence in the literature. This paper demonstrates the correlation of playing golf on improving health status after COVID-19 while this positive information has a potential to be used by the marketing management of various organisations to improve economics of golf activities. We analyse the change in saturation and heart rate after playing an 18-hole course, measured by pulse oximetry (% SpO2). Then we investigate the different aspects that have the greatest health benefit in golf. By following the effect of playing golf on blood oxygen saturation and heart rate in athletes we build a linear regression model explaining the impact 14 factors have on blood oxygen saturation. An 18-hole golf course caused a 1 ± 1.49% (p < 0.001) increase in venous blood O2 concentration and a 6 ± 8.09% (р < 0.001) increase in resting heart rate. Golf has the positive effect on the health status of athletes after recovery or vaccination for COVID-19 disease.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43932479","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}
L. Malyarets, O. Iastremska, Anastasiy Tutova, O. Dorokhov
The problem of economic stimulation of top managers remains relevant and unresolved. Economic incentives of top managers should be based on the performance of the enterprise, and this relationship is recognized by economists, scientists, and practitioners. The main problem here is the development of a scale of economic incentives. In most cases, economic incentives are associated with only one indicator of performance - the company's profit, which is a criterion for incentives. But objectively, the criteria may be other indicators that reflect the efficiency of financial resources, fixed assets, labor resources, and the effectiveness of investment and innovation. A new analytical method has been developed that strengthens the objectivity of stimulating the work of top managers. The proposed logic of the stages of calculating the incentives of top managers allows not only to describe the performance of the enterprise using an appropriate system of indicators but also to establish the relationship between them and the economic incentives of top managers to ensure effective performance in general. The advantage of the proposed analytical method of stimulating top managers is to take into account the business needs of enterprises, the peculiarities of their activities.
{"title":"Analytical Method of Stimulation for Labour of Top-Managers","authors":"L. Malyarets, O. Iastremska, Anastasiy Tutova, O. Dorokhov","doi":"10.18421/tem122-58","DOIUrl":"https://doi.org/10.18421/tem122-58","url":null,"abstract":"The problem of economic stimulation of top managers remains relevant and unresolved. Economic incentives of top managers should be based on the performance of the enterprise, and this relationship is recognized by economists, scientists, and practitioners. The main problem here is the development of a scale of economic incentives. In most cases, economic incentives are associated with only one indicator of performance - the company's profit, which is a criterion for incentives. But objectively, the criteria may be other indicators that reflect the efficiency of financial resources, fixed assets, labor resources, and the effectiveness of investment and innovation. A new analytical method has been developed that strengthens the objectivity of stimulating the work of top managers. The proposed logic of the stages of calculating the incentives of top managers allows not only to describe the performance of the enterprise using an appropriate system of indicators but also to establish the relationship between them and the economic incentives of top managers to ensure effective performance in general. The advantage of the proposed analytical method of stimulating top managers is to take into account the business needs of enterprises, the peculiarities of their activities.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49437003","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}
Khairul Khaizi Mohd Shariff, Megat Syahirul Amin Megat Ali, Ahmad Ihsan Mohd Yassin, Noor Ezan Abdullah, Ali Abd Al-Misreb, Aisyah Hartini Jahidin
To this date, scanning electron microscope has produced among the most complex and diverse images at nanoscale resolution. The highly magnified images of backscattered electrons reflected from the surface of samples are non-uniformed, even for the same class of images. The study investigates the impact of having a small but diverse dataset on the performance of AlexNet. A total of 160 samples from EUDAT Collaborative Database Infrastructure is used for the study. Compared to the use of new non-augmented samples to increase the size of dataset, image augmentation has been significantly improved classification performance and generalization ability of the AlexNet.
{"title":"Small but Diverse SEM Image Dataset: Impact of Image Augmentation on the Performance of AlexNet","authors":"Khairul Khaizi Mohd Shariff, Megat Syahirul Amin Megat Ali, Ahmad Ihsan Mohd Yassin, Noor Ezan Abdullah, Ali Abd Al-Misreb, Aisyah Hartini Jahidin","doi":"10.18421/tem122-34","DOIUrl":"https://doi.org/10.18421/tem122-34","url":null,"abstract":"To this date, scanning electron microscope has produced among the most complex and diverse images at nanoscale resolution. The highly magnified images of backscattered electrons reflected from the surface of samples are non-uniformed, even for the same class of images. The study investigates the impact of having a small but diverse dataset on the performance of AlexNet. A total of 160 samples from EUDAT Collaborative Database Infrastructure is used for the study. Compared to the use of new non-augmented samples to increase the size of dataset, image augmentation has been significantly improved classification performance and generalization ability of the AlexNet.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135831903","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 this study, an electricity consumption monitoring system that integrated with the campus web was developed. The system was designed using the Waterfall method approach. A realtime electricity consumption monitoring has been developed and has been implemented and can be accessed. ISO 50001 is a globally accepted standard for managing energy, providing technical and corporate management strategies to improve energy efficiency, reduce costs, and enhance environmental performance. Web technology that internet media can access can facilitate the implementation of transparent monitoring of electrical energy consumption.
{"title":"Design of Realtime Electricity Consumption Monitoring System Using Campus Web","authors":"Fajril Akbar, Vera Pujani, Refdinal Nazir","doi":"10.18421/tem122-29","DOIUrl":"https://doi.org/10.18421/tem122-29","url":null,"abstract":"In this study, an electricity consumption monitoring system that integrated with the campus web was developed. The system was designed using the Waterfall method approach. A realtime electricity consumption monitoring has been developed and has been implemented and can be accessed. ISO 50001 is a globally accepted standard for managing energy, providing technical and corporate management strategies to improve energy efficiency, reduce costs, and enhance environmental performance. Web technology that internet media can access can facilitate the implementation of transparent monitoring of electrical energy consumption.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135832430","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}
Normal birth is as exciting as it is a worrying process for every pregnant woman. Surely, everyone makes a distinction between natural birth and Caesarean section. For most people, however, natural birth means any birth that takes place through the natural birth canal. In fact, this is the normal birth, which does not always mean natural. The purpose of the conducted experiment is to study the attitudes of pregnant women and to determine the effect of using prenatal training as a means of achieving natural childbirth with a midwife`s assistance.
{"title":"Statistical Analysis of the Choice for Natural Birth as an Achievable Outcome through Midwife Pre-natal Counseling – a Pilot Study","authors":"Veselka Mihaylova, Daniela Draganova","doi":"10.18421/tem122-30","DOIUrl":"https://doi.org/10.18421/tem122-30","url":null,"abstract":"Normal birth is as exciting as it is a worrying process for every pregnant woman. Surely, everyone makes a distinction between natural birth and Caesarean section. For most people, however, natural birth means any birth that takes place through the natural birth canal. In fact, this is the normal birth, which does not always mean natural. The purpose of the conducted experiment is to study the attitudes of pregnant women and to determine the effect of using prenatal training as a means of achieving natural childbirth with a midwife`s assistance.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135832432","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}
Adolescents in higher education are more prone to Avoidant Personality Disorder (AVPD), which strongly affects academic achievement. The goal of this study was to create models for accurate prediction of the likelihood of Avoidant Personality Disorder among students in higher education. Information Gain, Gain Ratio, and Wrapper Approach are used as feature selection methods combined with data resampling techniques and machine learning, including Multi-Layer Perceptron Neural Network, Naïve Bayes, Decision Tree, Random Forest, and Support Vector Machine. The findings revealed that the Wrapper approach gave higher accuracy than Information Gain and Gain Ratio approach. Further, using the Gain Ratio approach gives the model a slightly higher efficiency than the Information Gain. Furthermore, when comparing feature selection and data resampling, it was found that the model using feature selection had more higher model efficiency than data resampling alone. Additionally, combining the Synthetic Minority Over-sampling Technique with Edited Nearest Neighbor (SMOTE-ENN) considerably increased the model’s effectiveness. Finally, the model’s efficiency was at its maximum, with an accuracy of 95.52%, when the Wrapper approach was used in conjunction with the Synthetic Minority Over-sampling Technique, the Edited Nearest Neighbor algorithm, and the Multi-Layer Perceptron Neural Network.
{"title":"Improving the Avoidant Personality Disorder Prediction for Higher Education Using SMOTE-ENN and Multi-Layer Perceptron Neural Network","authors":"S. Nuanmeesri, L. Poomhiran","doi":"10.18421/tem122-47","DOIUrl":"https://doi.org/10.18421/tem122-47","url":null,"abstract":"Adolescents in higher education are more prone to Avoidant Personality Disorder (AVPD), which strongly affects academic achievement. The goal of this study was to create models for accurate prediction of the likelihood of Avoidant Personality Disorder among students in higher education. Information Gain, Gain Ratio, and Wrapper Approach are used as feature selection methods combined with data resampling techniques and machine learning, including Multi-Layer Perceptron Neural Network, Naïve Bayes, Decision Tree, Random Forest, and Support Vector Machine. The findings revealed that the Wrapper approach gave higher accuracy than Information Gain and Gain Ratio approach. Further, using the Gain Ratio approach gives the model a slightly higher efficiency than the Information Gain. Furthermore, when comparing feature selection and data resampling, it was found that the model using feature selection had more higher model efficiency than data resampling alone. Additionally, combining the Synthetic Minority Over-sampling Technique with Edited Nearest Neighbor (SMOTE-ENN) considerably increased the model’s effectiveness. Finally, the model’s efficiency was at its maximum, with an accuracy of 95.52%, when the Wrapper approach was used in conjunction with the Synthetic Minority Over-sampling Technique, the Edited Nearest Neighbor algorithm, and the Multi-Layer Perceptron Neural Network.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42563087","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}
C. Panyadee, Sansanee Krajangchom, Korawan Sangkakorn, K. Intawong
The strategic direction and level of competitiveness of tourism businesses and locations are now determined by the impact of smart technology on the industry. The objective of this article is to showcase the concept of "smartness" by analyzing the latest advancements in wellness technology and exploring the development of smart wellness cities. Through all stages of travel, technology-enabled tourism experiences increasingly assist travelers in co-creating value. Intelligence in the Environment (AmI) Tourism is propelled forward by several emerging technologies. Innovation is used to enhance or help the destination's ecotourism management system. Hotels can accommodate and serve tourists of all levels according to tourist’s expectations. Technological advancements bring together a wide range of stakeholders. Additionally, technological developments bring together a diverse variety of stakeholders in tourism services. Moreover, it enlisted the assistance of all parties, including Chiang Mai public health and the municipal. Smart environments will inevitably transform industry structures, processes, and practices, resulting in consequences on innovation capability, strategic planning, management, marketing, and the competitiveness of all stakeholders.
{"title":"Smart Wellness Technology for Tourism Destination Based-on Evolving Tourist Expectation Model","authors":"C. Panyadee, Sansanee Krajangchom, Korawan Sangkakorn, K. Intawong","doi":"10.18421/tem122-68","DOIUrl":"https://doi.org/10.18421/tem122-68","url":null,"abstract":"The strategic direction and level of competitiveness of tourism businesses and locations are now determined by the impact of smart technology on the industry. The objective of this article is to showcase the concept of \"smartness\" by analyzing the latest advancements in wellness technology and exploring the development of smart wellness cities. Through all stages of travel, technology-enabled tourism experiences increasingly assist travelers in co-creating value. Intelligence in the Environment (AmI) Tourism is propelled forward by several emerging technologies. Innovation is used to enhance or help the destination's ecotourism management system. Hotels can accommodate and serve tourists of all levels according to tourist’s expectations. Technological advancements bring together a wide range of stakeholders. Additionally, technological developments bring together a diverse variety of stakeholders in tourism services. Moreover, it enlisted the assistance of all parties, including Chiang Mai public health and the municipal. Smart environments will inevitably transform industry structures, processes, and practices, resulting in consequences on innovation capability, strategic planning, management, marketing, and the competitiveness of all stakeholders.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41888751","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 swift advancement of technology has stimulated a metamorphosis in the realm of education, particularly in the domain of learning. Previously limited to face-to-face interactions, learning is now conducted online via a variety of devices and platforms. One of the popular platforms currently being widely used by online learning in schools and universities is the Learning Management System (LMS). The LMS serves as a comprehensive platform that facilitates educational engagement between educators and learners in the context of remote instruction. The objective of this investigation was to examine the effects of utilizing a Learning Management System (LMS) on students. This study uses a literature review method. The findings indicate that, overall, the utilization of Learning Management Systems (LMS) had a beneficial effect on academic performance among students and fostered a favorable perception of LMS implementation in educational endeavors. It is anticipated that educators will take into account the findings of this investigation when utilizing LMS to facilitate the educational process.
{"title":"The Impact of Learning Management System (LMS) Usage on Students","authors":"Muhammad Furqon, P. Sinaga, L. Liliasari, L. Riza","doi":"10.18421/tem122-54","DOIUrl":"https://doi.org/10.18421/tem122-54","url":null,"abstract":"The swift advancement of technology has stimulated a metamorphosis in the realm of education, particularly in the domain of learning. Previously limited to face-to-face interactions, learning is now conducted online via a variety of devices and platforms. One of the popular platforms currently being widely used by online learning in schools and universities is the Learning Management System (LMS). The LMS serves as a comprehensive platform that facilitates educational engagement between educators and learners in the context of remote instruction. The objective of this investigation was to examine the effects of utilizing a Learning Management System (LMS) on students. This study uses a literature review method. The findings indicate that, overall, the utilization of Learning Management Systems (LMS) had a beneficial effect on academic performance among students and fostered a favorable perception of LMS implementation in educational endeavors. It is anticipated that educators will take into account the findings of this investigation when utilizing LMS to facilitate the educational process.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46906072","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}
Slobodan Adžić, Tijana Savić Tot, Verica Savić, Marija Runić-Ristić, Vilmoš Tot
The results of previous studies showed that male students have a lower average grade than female students. Men are also reported to play more video games than women. We were interested in whether male students maintain the same pattern of behavior in relation to playing games during the exam period and how this affects their average grade compared to female students. If male students spend more time playing video games compared to female students, their academic performance may decrease as time spent on academic activities is replaced by video game play. In a survey of 400 university students, the authors focused on the gender characteristics of students and their achievements. Our results showed that female students studied more and played video games less during the exam periods compared to male and non-binary students, which is the reason for a higher total average grade in contrast to others.
{"title":"Student Achievement in Relation to Time Spent Studying and Playing Video Games: A Gender Perspective","authors":"Slobodan Adžić, Tijana Savić Tot, Verica Savić, Marija Runić-Ristić, Vilmoš Tot","doi":"10.18421/tem122-28","DOIUrl":"https://doi.org/10.18421/tem122-28","url":null,"abstract":"The results of previous studies showed that male students have a lower average grade than female students. Men are also reported to play more video games than women. We were interested in whether male students maintain the same pattern of behavior in relation to playing games during the exam period and how this affects their average grade compared to female students. If male students spend more time playing video games compared to female students, their academic performance may decrease as time spent on academic activities is replaced by video game play. In a survey of 400 university students, the authors focused on the gender characteristics of students and their achievements. Our results showed that female students studied more and played video games less during the exam periods compared to male and non-binary students, which is the reason for a higher total average grade in contrast to others.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135832827","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}
B. Prahani, E. Imah, Irena Y. Maureen, L. Rakhmawati, H. V. Saphira
Technology is permeating every aspect of our everyday lives, and businesses are increasingly turning to learning algorithms. These technologies are commonly associated with Artificial Intelligence (AI), Deep Learning (DL), Machine Learning (ML), and Artificial Neural Network (ANN). Due to previous research exciting findings, implications, and limitations, the research publication on AI, ML, DL, and ANN will increase each year. Finally, the growth analysis of AI, ML, DL, and ANN publications in last 10 years brings up the results that the publications significantly increase each year. This research utilizes descriptive analyses and bibliometrics. Implications of the investigation of specific keyword mapping visualization results on AI, ML, DL, and ANN, can be created and enhanced for more study. A different area of future research might focus on using fewer terms, particularly to study learning methods like AI, ML, DL, and ANN in a convolutional neural network.
{"title":"Trend and Visualization of Artificial Intelligence Research in the Last 10 Years","authors":"B. Prahani, E. Imah, Irena Y. Maureen, L. Rakhmawati, H. V. Saphira","doi":"10.18421/tem122-38","DOIUrl":"https://doi.org/10.18421/tem122-38","url":null,"abstract":"Technology is permeating every aspect of our everyday lives, and businesses are increasingly turning to learning algorithms. These technologies are commonly associated with Artificial Intelligence (AI), Deep Learning (DL), Machine Learning (ML), and Artificial Neural Network (ANN). Due to previous research exciting findings, implications, and limitations, the research publication on AI, ML, DL, and ANN will increase each year. Finally, the growth analysis of AI, ML, DL, and ANN publications in last 10 years brings up the results that the publications significantly increase each year. This research utilizes descriptive analyses and bibliometrics. Implications of the investigation of specific keyword mapping visualization results on AI, ML, DL, and ANN, can be created and enhanced for more study. A different area of future research might focus on using fewer terms, particularly to study learning methods like AI, ML, DL, and ANN in a convolutional neural network.","PeriodicalId":45439,"journal":{"name":"TEM Journal-Technology Education Management Informatics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44990775","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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