Are Linear Speed and Jumping Ability Determinants of Change of Direction Movements in Young Male Soccer Players?

The study was undertaken to investigate the relationships between linear speed, change of direction, and explosive power in the lower limbs of young soccer players. We aimed to determine the variables associated with effective change-of-direction speeds (time) based on the 30-m ZigZag (cutting maneuver) under 60° (CODS), and 30 m sprint divided into forward-backward-forward movement (CODS). Sixty young soccer players (age: 17.

The Relationship between Selected Motor Ability Determinants and Anthropometric Characteristics in Adolescent Athletes from Various Sport.

The main purpose of this study was to examine the relationship between speed, lower extremities explosive power, simple, and complex responses in adolescent athletes from various disciplines. Thirty nine athletes of 16.5 years old, N = 13 sprinters and jumpers, N = 13 soccer players, and N = 13 judokas participated in the experiment.

The Relationship between 200 m Performance and Selected Anthropometric Variables and Motor Abilities in Male Sprinters.

The goal of this study was the investigation of the relationship between 200 m performance and motor abilities and anthropometric characteristics of different level of male sprinters (200 m performance 23.80 ± 2.16 s--the best results 21.

Towards application of rule learning to the meta-analysis of clinical data: an example of the metabolic syndrome.

Purpose: Systematic reviews and meta-analysis of published clinical datasets are important part of medical research. By combining results of multiple studies, meta-analysis is able to increase confidence in its conclusions, validate particular study results, and sometimes lead to new findings. Extensive theory has been built on how to aggregate results from multiple studies and arrive to the statistically valid conclusions.

Analyzing diaries for analytical relapse prevention using natural induction: a method and preliminary results.

This article briefly describes natural induction approach to knowledge discovery, and then applies it to the problem of bad habit relapse prevention by analyzing patients' diaries. Natural induction seeks patterns in data that are in forms easy to understand and interpret, because they resemble those in which humans represent knowledge, such as natural language descriptions and visual forms. The application of natural induction to the problem of bad habit relapse has produced patterns easy to understand, in some cases of surprising simplicity.