1000 resultados para Relation d’attachement


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This paper discusses a study to determine the relationship between the performance of a child prior to leaving CID and their performance in the current school setting.

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This paper discusses the results of a study to determine a relationship between the EEG pattern and autonomic conditioning.

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This paper examines the relationship between results of the Wechsler-Bellevue Performance Test of Intelligence and the Snijders-Oomen Non-Verbal Intelligence Scale (SONS) as given to hearing-impaired students at Central Institute for the Deaf.

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This paper discusses a study that examined acoustic measures and the relationship to speech intelligibility of children with cochlear implants.

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This paper reviews a study that was done with hearing and hearing impaired children to test the effectiveness of self-instructional programs and whether the results can be correlated with Educational Quotient and Intelligence Quotient.

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This paper reviews a study to investigate the relationship between audiogram patterns and auditory disorder etiology of children at CID.

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This paper examines the relation between the speech perception abilities of children with a cochlear implant and parental attitudes.

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The study of the morphology of tidal networks and their relation to salt marsh vegetation is currently an active area of research, and a number of theories have been developed which require validation using extensive observations. Conventional methods of measuring networks and associated vegetation can be cumbersome and subjective. Recent advances in remote sensing techniques mean that these can now often reduce measurement effort whilst at the same time increasing measurement scale. The status of remote sensing of tidal networks and their relation to vegetation is reviewed. The measurement of network planforms and their associated variables is possible to sufficient resolution using digital aerial photography and airborne scanning laser altimetry (LiDAR), with LiDAR also being able to measure channel depths. A multi-level knowledge-based technique is described to extract networks from LiDAR in a semi-automated fashion. This allows objective and detailed geomorphological information on networks to be obtained over large areas of the inter-tidal zone. It is illustrated using LIDAR data of the River Ems, Germany, the Venice lagoon, and Carnforth Marsh, Morecambe Bay, UK. Examples of geomorphological variables of networks extracted from LiDAR data are given. Associated marsh vegetation can be classified into its component species using airborne hyperspectral and satellite multispectral data. Other potential applications of remote sensing for network studies include determining spatial relationships between networks and vegetation, measuring marsh platform vegetation roughness, in-channel velocities and sediment processes, studying salt pans, and for marsh restoration schemes.