997 resultados para Motor intelligence


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La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

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La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

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La Educación Física, en un contexto de pensamiento dualista, se define como una toma de conciencia del cuerpo que para ser verdaderamente educativa, toma dos caminos: desarrollar el valor, el coraje -el más habitual-, y a veces y más recientemente, la inteligencia.

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Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

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Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

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Para analizar el proceso de aprendizaje de los estudiantes en escalada se diseñó una práctica de escalada en muro (sistema abierto estilo americano) a través de un estudio comparativo entre estudiantes de dos asignaturas correlativas (Deportes Regionales Estivales 1 y 2). El objetivo es conocer la forma de resolución de problemas corporales y motrices en la escalada en el marco del mini muro como dispositivo de enseñanza. Se realizó a mitad del año académico en cada asignatura y para ello se elaboró una planilla de cotejo para registrar y comparar los resultados alcanzados. Se realizó un procesamiento cuantitativo sobre la cantidad de problemas resueltos por grupo. Se trabajó con enfoque cuali-cuantitativo para analizar las formas de resolución de los problemas motrices de los estudiantes. Se observa que los estudiantes de DRE 2 resuelven mayor cantidad de problemas en el muro que los estudiantes de DRE 1. La hipótesis que se sostiene tiene que ver con que los estudiantes más avanzados disponen de una mayor experiencia traducida en inteligencia motriz o disponibilidad corporal y motriz, que los estudiantes de la asignatura previa. Esta comunicación es parte del proyecto 04-B169 "El Andinismo en la Educación Física: Seguridad, enseñanza y formación docente". CRUB-UNCo

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“La Business Intelligence per il monitoraggio delle vendite: il caso Ducati Motor Holding”. L’obiettivo di questa tesi è quello di illustrare cos’è la Business Intelligence e di mostrare i cambiamenti verificatisi in Ducati Motor Holding, in seguito alla sua adozione, in termini di realizzazione di report e dashboard per il monitoraggio delle vendite. L’elaborato inizia con una panoramica generale sulla storia e gli utilizzi della Business Intelligence nella quale vengono toccati i principali fondamenti teorici: Data Warehouse, data mining, analisi what-if, rappresentazione multidimensionale dei dati, costruzione del team di BI eccetera. Si proseguirà mediante un focus sui Big Data convogliando l’attenzione sul loro utilizzo e utilità nel settore dell’automotive (inteso nella sua accezione più generica e cioè non solo come mercato delle auto, ma anche delle moto), portando in questo modo ad un naturale collegamento con la realtà Ducati. Si apre così una breve overview sull’azienda descrivendone la storia, la struttura commerciale attraverso la quale vengono gestite le vendite e la gamma dei prodotti. Dal quarto capitolo si entra nel vivo dell’argomento: la Business Intelligence in Ducati. Si inizia descrivendo le fasi che hanno fino ad ora caratterizzato il progetto di Business Analytics (il cui obiettivo è per l'appunto introdurre la BI i azienda) per poi concentrarsi, a livello prima teorico e poi pratico, sul reporting sales e cioè sulla reportistica basata sul monitoraggio delle vendite.

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The roots of swarm intelligence are deeply embedded in the biological study of self-organized behaviors in social insects. Particle swarm optimization (PSO) is one of the modern metaheuristics of swarm intelligence, which can be effectively used to solve nonlinear and non-continuous optimization problems. The basic principle of PSO algorithm is formed on the assumption that potential solutions (particles) will be flown through hyperspace with acceleration towards more optimum solutions. Each particle adjusts its flying according to the flying experiences of both itself and its companions using equations of position and velocity. During the process, the coordinates in hyperspace associated with its previous best fitness solution and the overall best value attained so far by other particles within the group are kept track and recorded in the memory. In recent years, PSO approaches have been successfully implemented to different problem domains with multiple objectives. In this paper, a multiobjective PSO approach, based on concepts of Pareto optimality, dominance, archiving external with elite particles and truncated Cauchy distribution, is proposed and applied in the design with the constraints presence of a brushless DC (Direct Current) wheel motor. Promising results in terms of convergence and spacing performance metrics indicate that the proposed multiobjective PSO scheme is capable of producing good solutions.

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The case is presented of a female infant with a distal deletion of 8p (8p23.1 --> pter) whose development was monitored over a 5-year period from 12 months of age. Although previous literature has suggested that 8p deletion is associated with mild to moderate intellectual disability, the child reported here has normal intelligence. Despite initial delays in gross motor and language skills, cognitive development (assessed with the Bayley Scales of Infant Development) and intellectual ability (measured on the Stanford-Binet Intelligence Scale) were within average range. It is argued that the small number of previous case reports may have created a misleading impression of intellectual development in individuals with distal deletions of 8p.

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The relationship between motor and intellectual functions was examined in 252 healthy children from 7 to 18 years using the Zurich Neuromotor Assessment and standardized intelligence tests. The magnitude of Spearman correlations between neuromotor and intellectual scores was generally weak (r = 0.15-0.37). The strongest correlations were found between performance in the pegboard task and visuomotor intelligence (r = 0.35) and between contralateral associated movements and intelligence in boys (r = 0.37). We conclude that specific connections between motor and intellectual functions may exist. However, because the magnitude of correlations is generally weak, we suggest that motor and intellectual domains in healthy children are largely independent.

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Objective: To develop a method for objective quantification of PD motor symptoms related to Off episodes and peak dose dyskinesias, using spiral data gathered by using a touch screen telemetry device. The aim was to objectively characterize predominant motor phenotypes (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Background: A retrospective analysis was conducted on recordings from 65 patients with advanced idiopathic PD from nine different clinics in Sweden, recruited from January 2006 until August 2010. In addition to the patient group, 10 healthy elderly subjects were recruited. Upper limb movement data were collected using a touch screen telemetry device from home environments of the subjects. Measurements with the device were performed four times per day during week-long test periods. On each test occasion, the subjects were asked to trace pre-drawn Archimedean spirals, using the dominant hand. The pre-drawn spiral was shown on the screen of the device. The spiral test was repeated three times per test occasion and they were instructed to complete it within 10 seconds. The device had a sampling rate of 10Hz and measured both position and time-stamps (in milliseconds) of the pen tip. Methods: Four independent raters (FB, DH, AJ and DN) used a web interface that animated the spiral drawings and allowed them to observe different kinematic features during the drawing process and to rate task performance. Initially, a number of kinematic features were assessed including ‘impairment’, ‘speed’, ‘irregularity’ and ‘hesitation’ followed by marking the predominant motor phenotype on a 3-category scale: tremor, bradykinesia and/or choreatic dyskinesia. There were only 2 test occasions for which all the four raters either classified them as tremor or could not identify the motor phenotype. Therefore, the two main motor phenotype categories were bradykinesia and dyskinesia. ‘Impairment’ was rated on a scale from 0 (no impairment) to 10 (extremely severe) whereas ‘speed’, ‘irregularity’ and ‘hesitation’ were rated on a scale from 0 (normal) to 4 (extremely severe). The proposed data-driven method consisted of the following steps. Initially, 28 spatiotemporal features were extracted from the time series signals before being presented to a Multilayer Perceptron (MLP) classifier. The features were based on different kinematic quantities of spirals including radius, angle, speed and velocity with the aim of measuring the severity of involuntary symptoms and discriminate between PD-specific (bradykinesia) and/or treatment-induced symptoms (dyskinesia). A Principal Component Analysis was applied on the features to reduce their dimensions where 4 relevant principal components (PCs) were retained and used as inputs to the MLP classifier. Finally, the MLP classifier mapped these components to the corresponding visually assessed motor phenotype scores for automating the process of scoring the bradykinesia and dyskinesia in PD patients whilst they draw spirals using the touch screen device. For motor phenotype (bradykinesia vs. dyskinesia) classification, the stratified 10-fold cross validation technique was employed. Results: There were good agreements between the four raters when rating the individual kinematic features with intra-class correlation coefficient (ICC) of 0.88 for ‘impairment’, 0.74 for ‘speed’, 0.70 for ‘irregularity’, and moderate agreements when rating ‘hesitation’ with an ICC of 0.49. When assessing the two main motor phenotype categories (bradykinesia or dyskinesia) in animated spirals the agreements between the four raters ranged from fair to moderate. There were good correlations between mean ratings of the four raters on individual kinematic features and computed scores. The MLP classifier classified the motor phenotype that is bradykinesia or dyskinesia with an accuracy of 85% in relation to visual classifications of the four movement disorder specialists. The test-retest reliability of the four PCs across the three spiral test trials was good with Cronbach’s Alpha coefficients of 0.80, 0.82, 0.54 and 0.49, respectively. These results indicate that the computed scores are stable and consistent over time. Significant differences were found between the two groups (patients and healthy elderly subjects) in all the PCs, except for the PC3. Conclusions: The proposed method automatically assessed the severity of unwanted symptoms and could reasonably well discriminate between PD-specific and/or treatment-induced motor symptoms, in relation to visual assessments of movement disorder specialists. The objective assessments could provide a time-effect summary score that could be useful for improving decision-making during symptom evaluation of individualized treatment when the goal is to maximize functional On time for patients while minimizing their Off episodes and troublesome dyskinesias.

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A challenge for the clinical management of advanced Parkinson’s disease (PD) patients is the emergence of fluctuations in motor performance, which represents a significant source of disability during activities of daily living of the patients. There is a lack of objective measurement of treatment effects for in-clinic and at-home use that can provide an overview of the treatment response. The objective of this paper was to develop a method for objective quantification of advanced PD motor symptoms related to off episodes and peak dose dyskinesia, using spiral data gathered by a touch screen telemetry device. More specifically, the aim was to objectively characterize motor symptoms (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Digitized upper limb movement data of 65 advanced PD patients and 10 healthy (HE) subjects were recorded as they performed spiral drawing tasks on a touch screen device in their home environment settings. Several spatiotemporal features were extracted from the time series and used as inputs to machine learning methods. The methods were validated against ratings on animated spirals scored by four movement disorder specialists who visually assessed a set of kinematic features and the motor symptom. The ability of the method to discriminate between PD patients and HE subjects and the test-retest reliability of the computed scores were also evaluated. Computed scores correlated well with mean visual ratings of individual kinematic features. The best performing classifier (Multilayer Perceptron) classified the motor symptom (bradykinesia or dyskinesia) with an accuracy of 84% and area under the receiver operating characteristics curve of 0.86 in relation to visual classifications of the raters. In addition, the method provided high discriminating power when distinguishing between PD patients and HE subjects as well as had good test-retest reliability. This study demonstrated the potential of using digital spiral analysis for objective quantification of PD-specific and/or treatment-induced motor symptoms.