Grand tour via geodesic interpolation of 2-frames

1994 ◽  
Author(s):  
Daniel A. Asimov ◽  
Andreas Buja
Keyword(s):  
Grand Tour

A GRAND TOUR OF THE OCEAN BASINS

2017 ◽  
Author(s):  
Declan G. De Paor ◽  
◽  
Geode Team
Keyword(s):  
Grand Tour

scholarly journals Making nonlinear manifold learning models interpretable: The manifold grand tour

2015 ◽  
Vol 42 (22) ◽  
pp. 8982-8988 ◽  
Author(s):  
Paulo J.G. Lisboa ◽  
José D. Martín-Guerrero ◽  
Alfredo Vellido
Keyword(s):  
Manifold Learning ◽  
Learning Models ◽  
Grand Tour

Problems of selection and phytogeny, terms and methods of behaviorism

1984 ◽  
Vol 7 (4) ◽  
pp. 713-717 ◽  
Author(s):  
A. Charles Catania
Keyword(s):  
Nonverbal Behavior ◽  
Evolutionary Time ◽  
Grand Tour ◽  
The Way

We have had a grand tour of operant behaviorism ranging over evolutionary time and the breadth of human cultures. It has included both verbal and nonverbal behavior, and it has visited both their public and their private domains. To test my understanding of some of the issues discussed and to offer what I hope will be constructive contributions to the treatments, I here address to Professor Skinner several questions and comments on some of the topics stopped at along the way (I will treat his responses as my souvenirs of the trip).

Bilateral asymmetries in professional cyclists during a Grand Tour

2020 ◽  
pp. 1-7
Author(s):  
Alejandro Javaloyes ◽  
Manuel Mateo-March ◽  
Felipe P. Carpes ◽  
Manuel Moya-Ramon ◽  
Raúl Lopez-Grueso ◽  
...  
Keyword(s):  
Injury Prevention ◽  
Intensity Distribution ◽  
Power Output ◽  
Lower Limb ◽  
Overuse Injury ◽  
Power Balance ◽  
Grand Tour ◽  
Race Time ◽  
Potential Link

BACKGROUND: Pedalling asymmetries are a topic of interest to cycling coaches and athletes due to a potential link with performance and injury prevention. OBJECTIVES: The aim of this study is to describe the bilateral asymmetry of professional cyclists during two editions of a Grand Tour. METHODS: Here we set out to determine the power balance (power produced by each lower limb) between stronger and weaker leg (dominant vs. non-dominant) of 12 UCI professional cyclists competing at two Giro d’Italia editions. Power data were recorded during competition stages. Further analysis considered power data clustered into individual intensity zones (from Z1 to Z7). RESULTS: Higher intensity elicited better power balance (lower asymmetry) regardless of the stage profile. Intensity distribution analysed according to the role of the cyclist was lower for climbers in Z2 (p= 0.006) and Z7 (p= 0.002) and higher in Z5 (p= 0.023) compared to team helpers. Power balance ranged from 0 to 9 % across the different athletes. CONCLUSIONS: Increase in power output improves power balance, especially in team helpers, and the lower power balance at lower exercise intensities, which are most of the race time, may elicit significant cumulative loading on a given leg of the cyclists, which requires further attention regarding risks of overuse injury.

Sign in / Sign up

Export Citation Format

Share Document