This paper traces, within subjects, the relationship between assessed strength of evidence, judgments of probability, and decisions under uncertainty. The investigation relies on the theoretical framework provided by support theory (Tversky & Koehler, 1994; Rottenstreich & Tversky, 1997), a nonextensional model of judgment under uncertainty. Fans of professional basketball (N = 50) judged the p...

This study is focused on the strategies adopted by Italian 'Serie A' soccer clubs during the non-competitive period. Thus, duration (i.e., number of days) of the specific non-competitive periods (i.e., off- plus pre-season, off-season, pre-season, summer camp), the number of games (i.e., friendly, official and polled games) and days between games (i.e., ≤ 3, 4-5, or ≥ 6 days between two consecu...

Good soccer players must keep their eyes on their opponents in order to make the right plays and moves. The same holds for soccer robots, too. In this paper, we apply probabilistic multiple object tracking to the continual estimation of the positions of opponent players in autonomous robot soccer. We extend MHT [3], an existing tracking algorithm, to handle multiple mobile sensors with uncertai...

A powerlifting athlete ruptured his left tendon of the pectoralis major muscle while attempting to lift 160 kg in a Brazilian bench press championship. The injury seemed to occur in the concentric phase of exercise; however, the more common mechanism of rupture is during the eccentric phase. The tendon was reinserted to the humerus 3 weeks later with screws and washers. The athlete returned to ...

The Soccer League Competition algorithm (SLC) is a new nature-based metaheuristic approach to solve optimization problems. It gets its basis model from the interaction between soccer teams and their players in a soccer league competition, where each player (feasible solution) compete for victory and be the best player. This paper presents a review of the underlaying SLC model and a practical ap...

On Monday January 19, 2015 a story broke that the National Football League (NFL) had started an investigation into whether the New England Patriots deliberately deflated the footballs they used during their championship win over the Indianapolis Colts. Like an infectious disease, discussion regarding Deflategate grew rapidly on social media sites in the hours and days after the release of the s...

Robot soccer competition provides an excellent opportunity for integrated robotics research. In particular, robot players in a soccer game must recognize and track objects in real-time, navigate in a dynamic field, collaborate with teammates, and strike the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), ...

Soccer, which has a large number of participants, has a high injury incidence that causes both financial and time burdens. Therefore, knowledge about the epidemiology of soccer injuries could allow sports-medicine professionals, such as physicians and physiotherapists, to direct their work in specific preventive programs. Thus, our aim was to conduct an epidemiological survey of injuries sustai...

We focus on two critical features in big size robot soccer. First, efficient training is one of the important issues for RoboCup teams to adapt their robots on site. Real robot’s training takes time and may damage the hardware while simulated one may miss the important factors to be improved. Second, to predict behavior of opponent robots is necessary for big size robots because they cannot mov...

OBJECTIVE To analyze the incidence of orthopedic injuries which occurred during a professional soccer championship in São Paulo, Brazil in 2010. METHODS This assessment collected data from the pre-season until the final stage of the championship. RESULTS We analyzed 227 professional players from eight of the top teams in this championship. Data were obtained for 71.02% of all games. The ath...