• Energy Research
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Artificial intelligence (AI) is gradually influencing every aspect of everyday life, including education. AI can also provide special support to learners through academic sustainability or discontinuation predictions. While AI research remains in its early stages, we must examine how it evolves and exerts its potential over time. By utilizing AI in physical education (PE), we can increase its potential use in sports applications, and enact changes upon the nature of PE, its visualization, and repeatability. Based on the concept of AI and related research areas, this study explores its principles and use in PE, and presents a focused, in-depth analysis of the areas of PE technology where AI could be applied—customized PE classes, knowledge provision, learner evaluation, and learner counseling methods. Our findings highlight the expertise required for future PE teachers in applying AI. Regarding practice implications, this study addresses the topic of AI innovations affecting all life domains, including PE; it highlights AI applications’ relevance to PE technology, based on existing research; it proposes that the implications of AI for PE may apply to other educational domains; and finally, it contributes to existing literature and also shares future research prospects regarding AI applications in education and sports.

Abstract A search in energetic, high-multiplicity final states for evidence of physics beyond the standard model, such as black holes, string balls, and electroweak sphalerons, is presented. The data sample corresponds to an integrated luminosity of 35.9 fb−1 collected with the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV in 2016. Standard model backgrounds, dominated by multijet production, are determined from control regions in data without any reliance on simulation. No evidence for excesses above the predicted background is observed. Model-independent 95% confidence level upper limits on the cross section of beyond the standard model signals in these final states are set and further interpreted in terms of limits on semiclassical black hole, string ball, and sphaleron production. In the context of models with large extra dimensions, semiclassical black holes with minimum masses as high as 10.1 TeV and string balls with masses as high as 9.5 TeV are excluded by this search. Results of the first dedicated search for electroweak sphalerons are presented. An upper limit of 0.021 is set at 95% confidence level on the fraction of all quark-quark interactions above the nominal threshold energy of 9 TeV resulting in the sphaleron transition.

International students enrolled in the long term are considered habitual residents. They act as hosts to their friends and relatives, generating word-of-mouth recommendations and revisiting the host country. In order to facilitate inbound tourism in post-COVID-19 tourism, it is necessary to understand their risk perception, place image, and loyalty and provide meaningful insights for tourism markets. This study explores how social and personal risk perception of COVID-19 and cognitive and affective place image explain place loyalty. International students for degree programs comprised the sample population for this study. Findings revealed that social risk perception negatively shapes cognitive and affective place image, while personal risk perception only explains affective place image. Both cognitive and affective place image significantly affects place loyalty and mediates between social risk perception and place loyalty. The research provides new evidence on the risk perception of COVID-19, showing that internal factors such as social and personal risk perception may cause somewhat different results contrary to previous studies. Although gender moderates the relationship between cognitive place image and loyalty, the influence of gender on the theoretical and empirical relationships between risk perception, place image, and loyalty is not significant for international students. Implications for theory and practice, limitations, and future studies are discussed.