Application of localized cryotherapy (-160 °C) on tennis leg injury: tissue remodeling and recovery in an elite Italian soccer player

2021 ◽  
Vol 74 (3) ◽  
Author(s):  
Silvana GIANNINI ◽  
Federica PULCINI ◽  
Stefano DAINELLI ◽  
Luca PENGUE
Author(s):  
Laura Armetti ◽  
Dan Admon ◽  
Abraham Solomon ◽  
Francesca Levi-Schaffer
Keyword(s):  

GYNECOLOGY ◽  
2016 ◽  
Vol 18 (3) ◽  
Author(s):  
M.L Khanzadyan ◽  
V.E. Radzinskiy ◽  
T.A. Demura ◽  
A.V. Donnikov

Tsitologiya ◽  
2018 ◽  
Vol 6o (4) ◽  
pp. 252-261 ◽  
Author(s):  
E.E. Ivanyuk ◽  
◽  
S.V. Nadezhdin ◽  
L.A. Pokrovskaya ◽  
V.V. Shupletsova ◽  
...  

2019 ◽  
Author(s):  
Alexander Noyes ◽  
Frank Keil ◽  
Yarrow Dunham

Institutions make new forms of acting possible: Signing executive orders, scoring goals, and officiating weddings are only possible because of the U.S. government, the rules of soccer, and the institution of marriage. Thus, when an individual occupies a particular social role (President, soccer player, and officiator) they acquire new ways of acting on the world. The present studies investigated children’s beliefs about institutional actions, and in particular whether children understand that individuals can only perform institutional actions when their community recognizes them as occupying the appropriate social role. Two studies (Study 1, N = 120 children, 4-11; Study 2, N = 90 children, 4-9) compared institutional actions to standard actions that do not depend on institutional recognition. In both studies, 4- to 5-year-old children believed all actions were possible regardless of whether an individual was recognized as occupying the social role. In contrast, 8- to 9-year-old children robustly distinguished between institutional and standard actions; they understood that institutional actions depend on collective recognition by a community.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Konstantinos Pelechrinis ◽  
Wayne Winston

Abstract Soccer is undeniably the most popular sport world-wide and everyone from general managers and coaching staff to fans and media are interested in evaluating players’ performance. Metrics applied successfully in other sports, such as the (adjusted) +/− that allows for division of credit among a basketball team’s players, exhibit several challenges when applied to soccer due to severe co-linearities. Recently, a number of player evaluation metrics have been developed utilizing optical tracking data, but they are based on proprietary data. In this work, our objective is to develop an open framework that can estimate the expected contribution of a soccer player to his team’s winning chances using publicly available data. In particular, using data from (i) approximately 20,000 games from 11 European leagues over eight seasons, and, (ii) player ratings from the FIFA video game, we estimate through a Skellam regression model the importance of every line (attackers, midfielders, defenders and goalkeeping) in winning a soccer game. We consequently translate the model to expected league points added above a replacement player (eLPAR). This model can further be used as a guide for allocating a team’s salary budget to players based on their expected contributions on the pitch. We showcase similar applications using annual salary data from the English Premier League and identify evidence that in our dataset the market appears to under-value defensive line players relative to goalkeepers.


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