Buscar
Mostrando ítems 31-40 de 1613
Effects of fatigue induced by prolonged gait when walking on the elderly
(2011-09-01)
Purpose. Fatigue has been pointed as a fall risk in the elderly; however, the effects of prolonged gait on neuromuscular recruitment and on its pattern remain unknown. The aim of this study was to evaluate the effects of ...
Effects of postural threat on walking features of Parkinson's disease patients
(Elsevier B.V., 2009-03-13)
This study investigated whether or not gait kinematics among healthy older individuals and Parkinson's disease (PD) patients are influenced by postural threat. Eight healthy older individuals and eight PD patients were ...
Effect of treadmill walking on ankle proprioceptive acuity in healthy young women: a randomized clinical trial
(Editora Pucrs, 2015-01-01)
Aims: To evaluate the effect of treadmill walking on ankle proprioceptive acuity in healthy young women. Methods: This randomized clinical trial included 20 women aged 18 to 30 years with a low level of physical activity ...
Quantum walk on the generalized birkhoff polytope graph
(2021-10-01)
We study discrete-time quantum walks on generalized Birkhoff polytope graphs (GBPGs), which arise in the solution-set to certain transportation linear programming problems (TLPs). It is known that quantum walks mix at most ...
The Incremental Shuttle Walk Test in Older Brazilian Adults
(Karger, 2011-01-01)
Background: Despite widespread use of the incremental shuttle walk distance (ISWD), there are no reference equations for predicting it. Objectives: We aimed to evaluate ISWD in healthy subjects and to establish a reference ...
ON A GENERAL MANY-DIMENSIONAL EXCITED RANDOM WALK
(Inst Mathematical StatisticsClevelandEUA, 2012)
Muscle recruitment and co-contraction when walking in young women with chronic lumbar pain
(Pontifícia Universidade Católica do Paraná, 2020-02-17)
Quantum walk topology and spontaneous parametric down conversion
(Springer, 2016-02)
Recently, it was proposed to study the complex physics of topological phases by an all optical implementation of a discrete-time quantum walk. The main novel ingredient proposed for this study is the use of non-linear ...
Network-based stochastic semisupervised learning
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
Semisupervised learning is a machine learning approach that is able to employ both labeled and unlabeled samples in the training process. In this paper, we propose a semisupervised data classification model based on a ...