Showing 1 - 15 results of 15 for search '"Card (sports)', query time: 0.07s Refine Results
  1. 1

    Introduction of the ‘Blue Card’ Concussion Policy to Semi-Elite Australian Football: Medical Staff Experiences and Perceptions by Jacob R Msando, Gill Cowen, Sarah A Harris, Troy Kirkham, Myles C Murphy

    Published 2024-12-01
    “…# Background The Western Australian Football League (WAFL) introduced a new umpire driven ‘blue-card rule’ for concussion, but its benefit to the sports medicine team is unknown…”
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    Research on the Design and Application of Sports Competition Ticketing Platform Based on Edge Computing by Wenfeng Dai, Jiajia Shao, Xiuli Zhang

    Published 2021-01-01
    “…Nowadays, under the encouragement of national and sports competition related policies, sports industry is gradually rising. …”
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    Governance of prepaid consumption in China's sports industry based on collaborative governance theory: theoretical framework, realistic dilemmas, and practical pathways by Jianuo Su, Jinsheng He

    Published 2025-01-01
    “…These challenges have led to business closures, unfair contract terms, difficulties in card refunds and transfers, and the excessive issuance of long-term or lifetime prepaid cards. …”
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    Evaluation of the Education Plan and Activities of Swiss Sport Integrity. A report of a science-practice co-operation. by Christoffer Klenk, Jonas Personeni

    Published 2025-01-01
    “…For data gathering, a questionnaire to Swiss elite athletes (Swiss Olympic Card holder) and a questionnaire to their respective coaches as instruments were applied. …”
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    PERSPECTIVES ON THE SPECIFIC FOOTBALL PARAMETERS OF ROMANIA’S THIRD LEAGUE by Antonescu Andrei Gabriel, Stănescu Monica Iulia, Palade Tudor

    Published 2024-12-01
    “…Football is one of the most popular sports nowadays. It is practiced all around the world, in the most different environmental, economic or social conditions. …”
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    Analysis of community older adult care facility construction and demand differentiation based on residential area and population attribute differences by Yanzhe Liu, Yaolei Wang, Guiping Guo, Tubao Yang, Tubao Yang, Yupeng Liu, Hongmei Gao, Tiejian Jiang, Xiangmin Li

    Published 2025-02-01
    “…Through analysis of variance, the type of residential area did not show significant differences in older adult bathing assistance, daytime care, mental comfort, sports activities, etc. (p > 0.05), while there were statistical differences in nighttime care, medical care, rehabilitation care, older adult canteens, chess and card entertainment, artistic activities, etc. …”
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    Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

    Published 2023-06-01
    “…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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    Sociological Explanation of the Role of Counseling and Cultural Centers in Iranian Young Athletes\' Unprofessional Behaviors and Lawlessness by Ali Ghanbari Barzian, Mostafa Zahirinia

    Published 2023-09-01
    “…As part of the solutions, expediting the process of privatization, mandating the teaching of ethical codes in all fields, formulating and consolidating rules and regulations for the legal control and supervision of sports publications, issuing fan cards, enforcing stringent regulations, and implementing bans in cases of abnormality can all contribute to the enhancement of the sporting environment and the promotion of lawfulness within sports. …”
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    Quels paysages dans les images produites autour de l’itinéraire touristique Estrada Real (Minas Gerais, Brésil) ? by Philippe Beringuier, Allaoua Saadi

    Published 2010-07-01
    “…Started in 1999 with strong support from advertising and marketing, this route implements a scenic highlight of the territories it crosses by several means, the most important media being a luxurious iconography (beautiful books, glossy paper magazines, post cards). In this context, we focus on how the question of landscape was addressed to in this iconography. …”
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    Formulating a Blue Ocean Strategy in the Banking Services Industry: Enhancing Customer Satisfaction through Improved Demand Fulfillment and Presenting an Optimal Pattern by Manuchehr Ghanbari, Ali Sabzali Yameqani, Yousef Rabbani, Kobra Sabzali Yamaqani

    Published 2024-03-01
    “…Comparing the final relative cost of actions related to customers’ needs showed that, creating loyal customer clubs and providing short-term facilities services, such as household baskets, sports credit cards, installment purchases, supplementary medical insurance, and expensive architecture of branches, have the highest relative cost. …”
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