Factors Discriminating High From Low Score Performance in Biathlon Shooting

2017 ◽  
Vol 12 (3) ◽  
pp. 377-384 ◽  
Author(s):  
Gerold Sattlecker ◽  
Michael Buchecker ◽  
Christoph Gressenbauer ◽  
Erich Müller ◽  
Stefan J. Lindinger

Purpose:To identify biomechanical predictors that distinguish between high- and low-score athletes in biathlon shooting and to determine the relationships among these variables in field testing.Methods:Twenty-two biathletes (8 female, 14 male) from the World Cup, the European Cup, and a federal youth squad each fired 3 clips of 5 shots in prone and standing shooting positions without physical load, followed by 2 respective series in both disciplines during a simulated 12.5-km pursuit race on roller skis. Biomechanical variables describing triggering, rifle force in the back shoulder, and body and rifle sway were calculated over the last 0.5 second before firing. For computed linear discriminant analyses, subjects were divided into high- and low-level performers based on mean scores for each condition separately. In addition, correlations among all biomechanical factors were calculated.Results:Regarding prone shooting, shoulder force in the rest condition and vertical rifle sway in the race simulation were shown to be main discriminators. Several body- and rifle-sway variables were found to be predictors in standing rest shooting. Body sway across the shooting line discriminated the groups in the standing race situation tendentially. Thus, the main performance predictors changed due to fatigue. Correlations between triggering and rifle sway, shoulder force and rifle sway, and body sway and rifle sway were discovered.Conclusions:Referring to the current results, athletes are recommended to focus on vertical rifle sway in prone position and on body sway across the shooting line during standing shooting when fatigued.

2020 ◽  
Vol 13(62) (2) ◽  
pp. 61-68
Author(s):  
B.I. PELIN ◽  
B.D IONESCU

The purpose of the research is to identify biomechanical predictors that distinguish between high and low score athletes in biathlon shooting and to determine the relationships among these variables in field testing. Ten biathletes (3 female, 7 male) from CSS Dinamo Râșnov each fired 3 clips of 5 shots in prone and standing shooting positions without physical load, followed by 2 respective series in both disciplines during a simulated 12.5-km pursuit race on roller skis. Referring to the current results, athletes are recommended to focus on vertical rifle sway in prone position and on body sway across the shooting line during standing shooting when fatigued.


2017 ◽  
Vol 65 ◽  
pp. 58-65 ◽  
Author(s):  
Gale M. Lucas ◽  
Jonathan Gratch ◽  
Nikolaos Malandrakis ◽  
Evan Szablowski ◽  
Eli Fessler ◽  
...  
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2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Florian Follert ◽  
Lukas Richau ◽  
Eike Emrich ◽  
Christian Pierdzioch

AbstractVarious scandals have shaken public confidence in football's global governing body, Fédération Internationale de Football Association (FIFA). It is evident that decision-making within such a collective provides incentives for corruption. We apply the Buchanan-Tullock model that is known from Public Choice theory to study collective decision-making within FIFA. On the basis of this theoretical model, we develop specific proposals that can contribute to combating corruption. Three core aspects are discussed: the selection of the World Cup host, transparency in the allocation of budgets, and clear guidelines for FIFA officials and bodies with regard to their rights and accountability. Our insights can contribute to a better understanding of collective decision making in heterogenous groups.


Paleobiology ◽  
10.1666/12001 ◽  
2013 ◽  
Vol 39 (3) ◽  
pp. 323-344 ◽  
Author(s):  
Carlo Meloro ◽  
Sarah Elton ◽  
Julien Louys ◽  
Laura C. Bishop ◽  
Peter Ditchfield

Mammalian carnivores are rarely incorporated in paleoenvironmental reconstructions, largely because of their rarity within the fossil record. However, multivariate statistical modeling can be successfully used to quantify specific anatomical features as environmental predictors. Here we explore morphological variability of the humerus in a closely related group of predators (Felidae) to investigate the relationship between morphometric descriptors and habitat categories. We analyze linear measurements of the humerus in three different morphometric combinations (log-transformed, size-free, and ratio), and explore four distinct ways of categorizing habitat adaptations. Open, Mixed, and Closed categories are defined according to criteria based on traditional descriptions of species, distributions, and biome occupancy. Extensive exploratory work is presented using linear discriminant analyses and several fossils are included to provide paleoecological reconstructions.We found no significant differences in the predictive power of distinct morphometric descriptors or habitat criteria, although sample splitting into small and large cat guilds greatly improves the stability of the models. Significant insights emerge for three long-canine cats:Smilodon populator,Paramachairodus orientalis, andDinofelissp. from Olduvai Gorge (East Africa).S. populatorandP. orientalisare both predicted to have been closed-habitat adapted taxa. The false “sabertooth”Dinofelissp. from Olduvai Gorge is predicted to be adapted to mixed habitat. The application of felid humerus ecomorphology to the carnivoran record of Olduvai Gorge shows that the older stratigraphic levels (Bed I, 1.99–1.79 Ma) included a broader range of environments than Beds II or V, where there is an abundance of cats adapted to open environments.


2017 ◽  
Vol 7 (3) ◽  
pp. 42
Author(s):  
Vikash Rowtho

Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students participated in the study conducted in a Mauritian private tertiary academic institution. Results of regression analyses identified the variables having a significant influence on academic performance. These variables were used in a linear discriminant analysis where 74 percent of the students could be correctly classified into three categories: at-risk, pass or fail. In conclusion, this study has proposed a new technique that can be used by institutions to determine significant academic performance predictors and then identify at-risk students upon whom interventions can be implemented prior to exams to address the problem of dropouts.


2014 ◽  
Vol 64 (623) ◽  
pp. 298-298
Author(s):  
Richard Stones ◽  
Osman Hassan Ahmed ◽  
Richard Weiler
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