Search Results (96)

The contribution of small-scale sporting events to tourism sustainable development in local communities has been well recognized in the literature. Small-scale running events in particular are essential in the promotion of sustainable tourism in the community due to their localized impact. Although research has largely focused on the demand side—including participants, spectators, and host communities—limited attention has been given to the supply side, particularly the perspectives of sport event organizers and their role in implementing sustainable practices. This study aims to address this gap and answer key research questions that concern the factors which contribute to the success of these events in relation to their economic, social, and environmental impacts through the lens of the events’ primary decision-makers, their organizers. This study employs an exploratory research method, conducting interviews with twenty-five organizers of diverse Greek running events that represent a variety of geographical contexts and event characteristics of the country, based on their long-standing presence. Findings contribute to sustainable sport tourism literature by developing a theoretical framework which encompasses the three dimensions of sustainability, highlighting inclusivity as a key component within the social dimension. Results indicate that organizers perceive their running events as having a positive economic impact and enhancing social cohesion. They are also aware of the potential environmental impact, like trail preservation, and consequently implement responsible measures to protect the environment. Organizers share a variety of specific strategies and practical suggestions aimed at improving the sustainability of running events, such as managing waste effectively or improving accessibility for diverse participants, offering transferable insights for other event planners and local authorities. This paper showcases the key role of organizers in developing partnerships to implement effective sustainable sport event practices in the destination. Full article

Engaging in sports, particularly at a competitive level, requires sustained muscle contractions before the onset of physical fatigue. Fatigue is highly prevalent in neuromuscular diseases, especially those affecting neuromuscular transmission (e.g., myasthenia gravis) or muscle membrane excitability (e.g., myotonia, certain metabolic myopathies). A decremental response in repetitive nerve stimulation (RNS) represents the neurophysiological analogue of exercise-induced muscle weakness. Patients with such responses exhibit abnormal suppression of muscle activity during repetitive or prolonged effort. Consequently, it is often assumed they should avoid strenuous physical activity. To assess the safety of sports participation in individuals with fatigability-related neuromuscular disorders, we examined the literature and report a new case of a patient with myotonia congenita who engaged in competitive sports without adverse events. The review identified only a few cases involving patients with myasthenia gravis or muscular dystrophies who also participated in competitive sports safely and with favorable outcomes. No adverse events were reported. While these findings suggest that sports participation may be feasible for selected patients, they cannot be generalized. Large-scale studies involving athletes with neuromuscular conditions are needed to evaluate the safety and long-term impact of exercise in these populations. Full article

This study aims to (1) analyze thermal comfort at outdoor sport events held outside of fixed venues or locations; (2) establish a method for evaluating environmental thermal comfort for large-scale, long-term outdoor activities; and (3) provide suggestions for the arrangement of shifts in routes and participants for heat warning and mitigation. Taiwan ReAnalysis Downscaling (TReAD) data, Sky View Factors (SVFs), GSV2SVF tool, and RayMan Pro were applied to analyze and evaluate thermal comfort at the 2021 Torch Relay Round the Island, Taiwan. In this study, modified Physiologically Equivalent Temperature (mPET), Wet Bulb Globe Temperature (WBGT), and Universal Thermal Climate Index (UTCI) were estimated and selected as thermal indicators for the purpose of obtaining a more comprehensive perspective. We also define and present thermal performance with a simple traffic light symbol (green: comfortable/yellow: warm/red: hot) and try to go beyond the concept of heat and visualize it in an easy-to-understand way. Full article

Environmental consciousness has become increasingly important in the professional sports industry as it often hosts large-scale events that have significant environmental impacts. While the economic benefits of locating stadiums in city centers have been discussed, especially in terms of neighborhood revitalization, there has been limited empirical research on whether stadium relocation affects the transportation choices of spectators and reduces carbon dioxide emissions. Through a case study of a Japanese professional football club that relocated its home stadium from the suburb to the city center, this study quantitatively elucidated the change in spectators’ transportation choices and resulting reductions in carbon emissions achieved by the stadium relocation. Analysis indicated variations in behavioral changes among groups based on their loyalty levels to the club. It also highlighted the varying influence of the different residential areas within the metropolitan area on the modal choice. This study demonstrates the potential contribution of stadium relocation to sustainable urban planning by providing empirical evidence of these behavioral changes and policy implications for restructuring the urban public transportation network. Full article

In the era of digital advancement, the integration of Deep Learning (DL) algorithms is revolutionizing performance monitoring in football. Due to restrictions on monitoring devices during games to prevent unfair advantages, coaches are tasked to analyze players’ movements and performance visually. As a result, Computer Vision (CV) technology has emerged as a vital non-contact tool for performance analysis, offering numerous opportunities to enhance the clarity, accuracy, and intelligence of sports event observations. However, existing CV studies in football face critical challenges, including low-resolution imagery of distant players and balls, severe occlusion in crowded scenes, motion blur during rapid movements, and the lack of large-scale annotated datasets tailored for dynamic football scenarios. This review paper fills this gap by comprehensively analyzing advancements in CV, particularly in four key areas: player/ball detection and tracking, motion prediction, tactical analysis, and event detection in football. By exploring these areas, this review offers valuable insights for future research on using CV technology to improve sports performance. Future directions should prioritize super-resolution techniques to enhance video quality and improve small-object detection performance, collaborative efforts to build diverse and richly annotated datasets, and the integration of contextual game information (e.g., score differentials and time remaining) to improve predictive models. The in-depth analysis of current State-Of-The-Art (SOTA) CV techniques provides researchers with a detailed reference to further develop robust and intelligent CV systems in football. Full article

Background: Long-distance running impacts many organ systems. Aside from musculoskeletal and cardiopulmonary events, the gastrointestinal and renal system as well as metabolic homeostasis and electrolyte balance can be affected. A respective medical support strategy enabling rapid diagnosis, triage, and treatment in the context of large sports events is thus of utmost importance. Incidents can be assessed and graded via point-of-care (POC) blood gas analysis (BGA). We thus aimed to evaluate the feasibility and benefits of its use during a large sports event. Methods: All documented patient contacts during the race of the Vienna City Marathon (VCM) 2023 were retrospectively assessed. Additionally, the BGAs conducted in all patients requiring intravenous access were analyzed. Data are presented in a descriptive manner. Results: There were 39,871 participants at the VCM 2023. Of these, 277 (0.7%) required medical support, localized most commonly in the finishing area of the race (n = 239, 86% of all incidents). Fifty-eight (20.9%) patients had to be hospitalized. The most frequent chief complaints were syncope or collapse (24.9%), followed by general pain (20.6%) and trauma (14.8%). Five patients (1.8%) suffered from seizures, and one experienced (0.4%) from spontaneous pneumothorax. Thirty-one patients (11.2%) received venous blood gas analyses, showing mean creatinine levels of 1.82 (±0.517) mg/dL, mean lactate concentrations of 6.03 (±4.5) mmol/L, mean pH of 7.42 (±0.0721), and a mean base excess of −0.72 (±3.72) mmol/L. No cases of hyponatremia occurred in the documented samples. In eight cases (25.8%), sodium concentrations were above 145 mmol/L, with a maximum of 149 mmol/L. No cardiac arrests occurred. Conclusions: The physical exertion during the assessed long-distance running race resulted in numerous contacts with the medical support teams. The use of POC BGA at a large-scale marathon event was shown to be easy and feasible, allowing for more extensive diagnostics on-site. It can be integrated into a medical support strategy and might be beneficial for decision-making regarding patient triage, treatment, hospitalization, or patient discharge. Full article

Aim: The aim of this study was to analyze service-related musculoskeletal injuries of professional firefighters in 2021–2023. Material and methods: Analysis was completed on the basis of annual reports on the injury status of the State Fire Service (SFS) obtained from the Office of Occupational Safety and Health (OOSH) at General Headquarters. The report databases were searched using keywords typical of bone injuries and including anatomical names: “sprain”, “fracture”, “dislocation”, “bone injury”, “bone”, “joint”, “spine”, “skull and “musculoskeletal injury”. Results: Events matching the analysis target of N = 1944 (2021—n = 707; 2022—n = 589; 2023—n = 648) accounted for 49.4% from all accidents in the State Fire Service in Poland in the analyzed period. A significant increase in the analyzed period 2021–2023 was observed in events where the cause of injury was sports activities (45% vs. 49% vs. 63%, p < 0.001). A significant decrease was observed in events where the cause of injury was interventions (26% vs. 27% vs. 17%, p < 0.001), technical and maintenance (TM) work (8% vs. 6% vs. 5%, p = 0.008) and category “other” (15% vs. 14% vs. 11%, p = 0.034). Statistically significant differences were found between cause and the type of injury (p = 0.002), season (p < 0.001) and the location of injury (p < 0.001). Conclusions: A large number of musculoskeletal injuries are associated with sports activities, which is inherent in the risks of the activities. The lower extremities are most affected by injuries during sports activities The spring period dominates in the season category, which may be related to the difficulty of the terrain and return to increased sports activity after the winter period. Full article

Pacing strategy is a complex self-regulation process, crucial for optimising sports performance. Athletes with Intellectual Impairments (IIs) face unique challenges due to cognitive limitations that may hinder their ability to pace effectively, impacting chronometric performance. This study analysed the pacing profiles and chronometric performance across 253 event entries by elite swimmers with II, divided into three groups: 100 entries for group II1 (intellectual disability), 85 for group II2 (Down syndrome), and 68 for group II3 (autism spectrum disorder). These results were compared with 112 event entries from athletes without disabilities (AWDs). Data were collected from the 2023 Virtus Global Games and the 2023 World Aquatics Championships, focusing on middle-distance and long-distance events. Performance metrics were assessed using 50 m split times, and within-group variability was evaluated through coefficients of variation. Swimmers with IIs showed slower overall chronometric performance than AWDs, with the largest deficits observed in II2 athletes. The II1 and II3 groups displayed more comparable results, with the II1 group outperforming the others slightly. Despite the slower times, pacing profiles were largely similar across all groups, following a parabolic pacing strategy, especially for longer distances. Greater within-group variability in both chronometric performance and pacing profiles was observed in II2 and II3 athletes, reflecting higher functional heterogeneity. In contrast, II1 athletes, and even more so AWDs, exhibited more consistent performance and pacing across all events. While swimmers with II recorded slower times, their pacing strategies resembled those of AWDs, suggesting that cognitive limitations may not significantly impair pacing regulation in swimming. However, the higher variability in II2 and II3 athletes highlights the potential need for revised classification systems to ensure fair competition. Full article

Coronavirus disease 2019 (COVID-19) can be tracked through wastewater, enabling the prediction of cases by wastewater-based epidemiology (WBE). An issue that complicates WBE is that humans are not static, moving in and out of sewer drainage areas throughout the day. During large-scale events (i.e., sports, music, culture), large populations move during a small time frame in certain areas, with some individuals carrying along the virus. To track such human movement anonymously, cell phone location data (using StreetLight^®) were used to monitor the flow of populations in and out of the sewershed during football games at the University of Oklahoma for two consecutive seasons (2020–2021). Hourly wastewater samples were taken during gamedays (Saturday to Sunday mornings) and on one control Saturday (no game) for each season, along with controls in the form of composite samples for days surrounding the events. Hourly population data during gamedays allowed for the calculation of viral load per capita, which increased for most games, indicating the existence of incoming infected individuals in the region. This case study aims to help decision makers understand how hosting large-scale events during this and potential future disease outbreaks may impact public health. Full article

The purpose of this longitudinal pilot study was to add to the body of research relating to head kinematics/vibration in sport and their potential to cause short-term alterations in brain function. In horseracing, due to the horse’s movement, repeated low-level accelerations are transmitted to the jockey’s head. To measure this, professional jockeys (2 male, 2 female) wore an inertial measurement unit (IMU) to record their head kinematics while riding out. In addition, a short battery of tests (Stroop, Trail Making Test B, choice reaction time, manual dexterity, and visual function) was completed immediately before and after riding. Pre- and post-outcome measures from the cognitive test battery were compared using descriptive statistics. The average head kinematics measured across all jockeys and days were at a low level: resultant linear acceleration peak = 5.82 ± 1.08 g, mean = 1.02 ± 0.01 g; resultant rotational velocity peak = 10.37 ± 3.23 rad/s, mean = 0.85 ± 0.15 rad/s; and resultant rotational acceleration peak = 1495 ± 532.75 rad/s², mean = 86.58 ± 15.54 rad/s². The duration of an acceleration event was on average 127.04 ± 17.22 ms for linear accelerations and 89.42 ± 19.74 ms for rotational accelerations. This was longer than those noted in many impact and non-impact sports. Jockeys experienced high counts of linear and rotational head accelerations above 3 g and 400 rad/s², which are considered normal daily living levels (average 300 linear and 445 rotational accelerations per hour of riding). No measurable decline in executive function or dexterity was found after riding; however, a deterioration in visual function (near point convergence and accommodation) was seen. This work lays the foundation for future large-scale research to monitor the head kinematics of riders, measure the effects and understand variables that might influence them. Full article

The accurate and continuous location monitoring of athletes helps in meeting health and safety requirements and supporting the infotainment needs of large marathon events with thousands of participants. Currently, the tracking of individuals and groups of athletes at mass sports events is only possible to a limited extent, due to the weight, size, and cost constraints of the necessary devices. At marathon events, the usual infrastructure for timekeeping is Radio Frequency Identification (RFID) technology, which allows only precise tracking at huge intervals, with heuristic and interpolative algorithms to estimate runner positions in between the measuring points. Setting up RFID tracking stations on site is also material- and labor-intensive. We instead propose a continuous, real-time tracking solution, relying on Long-Range Wide-Area Network (LoRaWAN) GPS trackers. Due to the large geographical area and urban space in which marathon events take place, the positioning of static gateways cannot provide complete and continuous coverage. This research article presents an implementation with multiple LoRa trackers and mobile LoRa gateways installed on vehicle escorts to assess coverage quality. The tracking data collected by a receiving LoRaWAN Network Server (LNS) are stored in a database. Three experiments were conducted at three different official running events: a 10 km race, a half marathon, and a marathon. The backdrop for the 42.195 km event was the official Vienna City Marathon 2024 with more than 35,000 participants. The experimental results under these realistic conditions show the reception quality of this approach; e.g., during the marathon, the received packets from LoRa gateways were at an average distance of about 136 m (σ 157 m) from the tracker with a median update rate of 31 s across all trackers, using DR3/SF9. At greater distances, the quality decreased, although some outliers were received up to a distance of two kilometers. A possible prospect is that the low-power wide-area network (LPWAN) may repeat the history of RFID by entering the mass sports market from the industry domain. Full article

Culture consists of material and spiritual values and tools that a nation has accumulated in the historical process. In addition to the most basic contexts such as language and religion, contexts such as sporting activities, art, public medicine, and the public calendar are also important environments that reveal their own cultural elements. Among these contexts, religion is very effective in shaping the daily life of the individual and, thus, society through the rules it enjoins. Religion does not dominate only the world of belief of the individual. Through the world of belief, it also directs their relations with the social institutions they are involved in. Sport is one of the most important activities and social institutions that stand out with various functions in daily life, with wrestling being one of the branches of sports that have emerged as a result of the imitation of the struggle of human beings with nature and other creatures with which they share nature. In particular, those involved in the nomadic way of life had to hunt in order not to starve and fight in order to survive. Wrestling, which emerged as a result of these obligations, held an important place among all Turks in the world for a period of time, especially in the transition periods of life, such as birth, marriage, and death. One of the conditions set forth by women as a condition of marriage was that their suitor defeated them in wrestling. Examples of this condition are also observed in literary texts belonging to different periods when Turks were not yet acquainted with Islam and the concepts of halal and haram, which entered their lives together with Islam. According to the provisions of the Holy Qur’an, right/unprohibited thoughts and actions are associated with the words good and halal, while wrong/prohibited thoughts and actions are associated with the words sin and haram. In this study, the social and cultural phases of wrestling as a sports branch among Turks in the historical process will be evaluated on the basis of the history of religions and religious references, in addition to the literary texts belonging to historical periods when Turks were members of different religions, in the context of two events that have been experienced and reported in the news. The study was carried out using the method of document analysis, a method of qualitative research, and the data obtained by this method were evaluated using content analysis. The narratives of Alıp Manaş, Alpamış, Alpamıs, Alıpmenşen, and Bamsı Beyrek, which are evaluated in this context, belong to the periods when the Turks had not been introduced to Islam or had only recently been introduced to it. Alıp Manaş was collated from different Turkic tribes such as the Altais, Alpamış from the Uzbeks, Alpamıs the Kazakhs/Karakalpaks, Alıpmenşen the Bashkirs/Tatars, and Bamsı Beyrek the Oghuz Turks. The narratives of Kirmanshah, Köse Kenan-Dânâ Hanım, Bey Böyrek, Shah Ismail, and Yaralı Mahmut, which are evaluated in the study, belong to the periods when the Turks became Muslim en masse, and are related only among the Oghuz Turks. These narratives are included in the study because they are similar to Alıp Manaş, Alpamış, Alpamıs, Alıpmenşen, and Bamsı Beyrek and they belong to the period when Islam was largely established among the Turkish masses in Anatolia. The effect of the new religion on wrestling, which is a branch of sport, will be revealed through these narratives belonging to different tribes and religious periods. Once more, an event that occurred in recent history, and was the subject of the news, was subjected to document analysis, and content analysis was carried out through the text of the news and evaluated in the context of the study. This study aims to explain the effect of religious rules on sports branches with theological, folkloric, and sociological references based on ancient literary texts belonging to the Turks and two incidents which were experienced. Full article

Traffic anomaly detection is crucial for urban management, yet current research is often confined to small-scale endeavors. This study collected 9 months of real-time Wuhan traffic-monitoring data from Amap. We propose Traffic-ConvLSTM, a multi-scale spatial-temporal technique based on long short-term memory (LSTM) networks and convolutional neural networks (CNNs) to effectively achieve long-term anomaly detection at the city level. First, we converted traffic track points into an image representation, which enables spatial correlation between traffic flow and roads and correlations between traffic flow and roads, as well as the surrounding environment, to be captured. Second, the model utilizes convolution kernels of different sizes to extract spatial features at road-, regional-, and city-level scales while incorporating the temporal features of different time steps to capture hourly, daily, and weekly dynamics. Additionally, varying weights are assigned to the convolution kernels and temporal features of varying spatio-temporal scales to capture the heterogeneous strengths of spatio-temporal correlations within patterns of traffic anomalies. The proposed Traffic-ConvLSTM model exhibits improved performance over existing techniques in the task of identifying long-term and large-scale traffic anomaly occurrences. Furthermore, the analysis reveals significant traffic anomalies during holidays and urban sporting events. The diverse travel patterns observed in response to various activities offer insights for large-scale urban traffic anomaly management, providing recommendations for city-level traffic-control strategies. Full article

Background/Objectives: Despite the growing popularity of training with a controlled form of vascular occlusion, known as blood flow restriction (BFR) training, in the rehabilitation of orthopedic patients and sports medicine, there remains ample space for understanding the basis of its mechanism. The pilot study assessed the effect of BFR during a low-load resistance training unit on knee flexor muscle fatigue, intending to decide whether a larger trial is needed and feasible. Methods: The study used a prospective, randomized, parallel, double-blind, placebo-controlled design. Fifteen male healthy recreational athletes were randomly assigned to three equal groups: BFR Group, Placebo Group, and Control Group. The primary outcome was the change in the surface electromyography-based (sEMG-based) muscle fatigue index, which was determined by comparing the results obtained before and after the intervention. The intervention was the application of BFR during low-load resistance training for knee flexors. The occurrence of any adverse events was documented. Results: In all groups, the sEMG-based fatigue index for semitendinosus and biceps femoris muscles decreased after low-load resistance training, with the largest decrease in the BFR group. Although not statistically significant, BFR showed moderate and large effect sizes for the fatigue index of semitendinosus and biceps femoris, respectively. No adverse events were noted. Conclusions: The pilot study suggested that BFR during a low-load resistance training unit might affect knee flexor muscle fatigue, supporting the development of a larger randomized clinical trial. Full article

Traditional broadcasting methods often result in fatigue and decision-making errors when dealing with complex and diverse live content. Current research on intelligent broadcasting primarily relies on preset rules and model-based decisions, which have limited capabilities for understanding emotional dynamics. To address these issues, this study proposed and developed an emotion-driven intelligent broadcasting system, EmotionCast, to enhance the efficiency of camera switching during live broadcasts through decisions based on multimodal emotion recognition technology. Initially, the system employs sensing technologies to collect real-time video and audio data from multiple cameras, utilizing deep learning algorithms to analyze facial expressions and vocal tone cues for emotion detection. Subsequently, the visual, audio, and textual analyses were integrated to generate an emotional score for each camera. Finally, the score for each camera shot at the current time point was calculated by combining the current emotion score with the optimal scores from the preceding time window. This approach ensured optimal camera switching, thereby enabling swift responses to emotional changes. EmotionCast can be applied in various sensing environments such as sports events, concerts, and large-scale performances. The experimental results demonstrate that EmotionCast excels in switching accuracy, emotional resonance, and audience satisfaction, significantly enhancing emotional engagement compared to traditional broadcasting methods. Full article