TEM Journal-Technology Education Management Informatics最新文献_第10页

Improved Blood Saturation of Golf Players After COVID-19 as Potential Marketing Management and Improved Economics of Golf Related Activities 提高新冠肺炎后高尔夫球员的血饱和度作为潜在的营销管理和提高高尔夫相关活动的经济性

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-43

Lucia Malíčková, N. Daneshjo, F. Daňo, Renáta Ševčíková

{"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}

引用次数: 0

Analytical Method of Stimulation for Labour of Top-Managers 高层管理人员劳动激励的分析方法

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-58

L. Malyarets, O. Iastremska, Anastasiy Tutova, O. Dorokhov

{"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}

引用次数: 0

Small but Diverse SEM Image Dataset: Impact of Image Augmentation on the Performance of AlexNet 小而多样的SEM图像数据集:图像增强对AlexNet性能的影响

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-34

Khairul Khaizi Mohd Shariff, Megat Syahirul Amin Megat Ali, Ahmad Ihsan Mohd Yassin, Noor Ezan Abdullah, Ali Abd Al-Misreb, Aisyah Hartini Jahidin

引用次数: 0

Design of Realtime Electricity Consumption Monitoring System Using Campus Web 基于校园网的实时用电量监控系统设计

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-29

Fajril Akbar, Vera Pujani, Refdinal Nazir

引用次数: 0

Statistical Analysis of the Choice for Natural Birth as an Achievable Outcome through Midwife Pre-natal Counseling – a Pilot Study 通过助产士产前咨询选择自然分娩作为可实现结果的统计分析-一项试点研究

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-30

Veselka Mihaylova, Daniela Draganova

引用次数: 0

Improving the Avoidant Personality Disorder Prediction for Higher Education Using SMOTE-ENN and Multi-Layer Perceptron Neural Network 基于SMOTE-ENN和多层感知器神经网络的高等教育回避型人格障碍预测

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-47

S. Nuanmeesri, L. Poomhiran

{"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}

引用次数: 0

Smart Wellness Technology for Tourism Destination Based-on Evolving Tourist Expectation Model 基于游客期望演化模型的旅游目的地智能健康技术研究

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-68

C. Panyadee, Sansanee Krajangchom, Korawan Sangkakorn, K. Intawong

{"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}

引用次数: 0

The Impact of Learning Management System (LMS) Usage on Students 学习管理系统(LMS)使用对学生的影响

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-54

Muhammad Furqon, P. Sinaga, L. Liliasari, L. Riza

引用次数: 1

Student Achievement in Relation to Time Spent Studying and Playing Video Games: A Gender Perspective 学生成绩与学习和玩电子游戏时间的关系:性别视角

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-28

Slobodan Adžić, Tijana Savić Tot, Verica Savić, Marija Runić-Ristić, Vilmoš Tot

引用次数: 0

Trend and Visualization of Artificial Intelligence Research in the Last 10 Years 近10年人工智能研究的趋势与展望

IF 0.7

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI: 10.18421/tem122-38

B. Prahani, E. Imah, Irena Y. Maureen, L. Rakhmawati, H. V. Saphira

引用次数: 0