996 resultados para Electrical motor


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En este artículo se repasan los principales modelos teóricos explicativos del aprendizaje motor. En un primer apartado se comentan las aportaciones propias de la psicología cognitiva y más concretamente del corriente del procesamiento de la información: la Teoría del bucle cerrado de Jack Adams y la Teoría del esquema de Richard Schmidt. Posteriormente, se exponen las críticas que han recibido estos modelos y, para hacerlo, se introducen las principales aportaciones que el científico ruso Nikolai Bernstein hizo al estudio del aprendizaje y el control motor. A partir de estas aportaciones, se introducen las formulaciones teóricas que, surgidas desde la perspectiva dinámica-ecológica, pretenden superar las limitaciones de los modelos cognitivos. Finalmente, se comparan las dos perspectivas y se sugieren algunas posibles vías de desarrollo futuro del campo que nos ocupa.

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Special investigation of the Sac County Treasurer’s Office Motor Vehicle Department for the period January 1, 2010 through February 27, 2014

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Although there is consensus that the central nervous system mediates the increases in maximal voluntary force (maximal voluntary contraction, MVC) produced by resistance exercise, the involvement of the primary motor cortex (M1) in these processes remains controversial. We hypothesized that 1-Hz repetitive transcranial magnetic stimulation (rTMS) of M1 during resistance training would diminish strength gains. Forty subjects were divided equally into five groups. Subjects voluntarily (Vol) abducted the first dorsal interosseus (FDI) (5 bouts x 10 repetitions, 10 sessions, 4 wk) at 70-80% MVC. Another group also exercised but in the 1-min-long interbout rest intervals they received rTMS [Vol+rTMS, 1 Hz, FDI motor area, 300 pulses/session, 120% of the resting motor threshold (rMT)]. The third group also exercised and received sham rTMS (Vol+Sham). The fourth group received only rTMS (rTMS_only). The 37.5% and 33.3% gains in MVC in Vol and Vol+Sham groups, respectively, were greater (P = 0.001) than the 18.9% gain in Vol+rTMS, 1.9% in rTMS_only, and 2.6% in unexercised control subjects who received no stimulation. Acutely, within sessions 5 and 10, single-pulse TMS revealed that motor-evoked potential size and recruitment curve slopes were reduced in Vol+rTMS and rTMS_only groups and accumulated to chronic reductions by session 10. There were no changes in rMT, maximum compound action potential amplitude (M(max)), and peripherally evoked twitch forces in the trained FDI and the untrained abductor digiti minimi. Although contributions from spinal sources cannot be excluded, the data suggest that M1 may play a role in mediating neural adaptations to strength training.

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The electrical stimulation of the dorsal columns of the spinal cord exerts a dual analgesic and vasodilatory effect on ischemic tissues. It is increasingly considered a valuable method to treat severe and otherwise intractable coronary and peripheral artery disease. The quality of the results depends from both a strict selection of the patients by vascular specialists and the frequency and quality of the follow-up controls. However the indications, limits, mode of action and results of spinal cord stimulation are still poorly understood. This article, based on a personal experience of 164 implantations for peripheral and coronary artery disease, aims to draw attention to this technique and to provide information on recent and future developments.

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Surface-based ground penetrating radar (GPR) and electrical resistance tomography (ERT) are common tools for aquifer characterization, because both methods provide data that are sensitive to hydrogeologically relevant quantities. To retrieve bulk subsurface properties at high resolution, we suggest incorporating structural information derived from GPR reflection data when inverting surface ERT data. This reduces resolution limitations, which might hinder quantitative interpretations. Surface-based GPR reflection and ERT data have been recorded on an exposed gravel bar within a restored section of a previously channelized river in northeastern Switzerland to characterize an underlying gravel aquifer. The GPR reflection data acquired over an area of 240×40 m map the aquifer's thickness and two internal sub-horizontal regions with different depositional patterns. The interface between these two regions and the boundary of the aquifer with then underlying clay are incorporated in an unstructured ERT mesh. Subsequent inversions are performed without applying smoothness constraints across these boundaries. Inversion models obtained by using these structural constraints contain subtle resistivity variations within the aquifer that are hardly visible in standard inversion models as a result of strong vertical smearing in the latter. In the upper aquifer region, with high GPR coherency and horizontal layering, the resistivity is moderately high (N300 Ωm). We suggest that this region consists of sediments that were rearranged during more than a century of channelized flow. In the lower low coherency region, the GPR image reveals fluvial features (e.g., foresets) and generally more heterogeneous deposits. In this region, the resistivity is lower (~200 Ωm), which we attribute to increased amounts of fines in some of the well-sorted fluvial deposits. We also find elongated conductive anomalies that correspond to the location of river embankments that were removed in 2002.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.