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1.
J Med Life ; 12(3): 230-232, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-31666822

RESUMEN

This case report presents the evolution of a patient with recurrent ischemic stroke, in the context of treatment with multimodal agent cerebrolysin, as an add-on to neurological rehabilitation and tDCS therapy. The patient was evaluated before and after treatment using a battery of tests such as the Nine-Hole Peg Test, handgrip force, Functional Hand Scale (1-5), Action Research Arm Test (ARAT), Active Range of Motion (AROM) for the left shoulder, registering visible improvements in functional motor recovery after this therapeutic combination.


Asunto(s)
Isquemia Encefálica/terapia , Accidente Cerebrovascular/terapia , Anciano , Aminoácidos/uso terapéutico , Isquemia Encefálica/complicaciones , Isquemia Encefálica/fisiopatología , Terapia Combinada , Fuerza de la Mano , Humanos , Masculino , Recuperación de la Función , Recurrencia , Accidente Cerebrovascular/complicaciones , Accidente Cerebrovascular/fisiopatología , Resultado del Tratamiento
2.
Artículo en Inglés | MEDLINE | ID: mdl-26552094

RESUMEN

This paper presents a cooperative framework for fireworks algorithm (CoFFWA). A detailed analysis of existing fireworks algorithm (FWA) and its recently developed variants has revealed that ( i) the current selection strategy has the drawback that the contribution of the firework with the best fitness (denoted as core firework) overwhelms the contributions of all other fireworks (non-core fireworks) in the explosion operator, ( ii) the Gaussian mutation operator is not as effective as it is designed to be. To overcome these limitations, the CoFFWA is proposed, which significantly improves the exploitation capability by using an independent selection method and also increases the exploration capability by incorporating a crowdness-avoiding cooperative strategy among the fireworks. Experimental results on the CEC2013 benchmark functions indicate that CoFFWA outperforms the state-of-the-art FWA variants, artificial bee colony, differential evolution, and the standard particle swarm optimization SPSO2007/SPSO2011 in terms of convergence performance.


Asunto(s)
Algoritmos , Biomimética/métodos , Conducta Cooperativa , Aglomeración , Explosiones , Modelos Estadísticos , Simulación por Computador
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