3,763 research outputs found

    Comparison of individual and paired learning for the measurement of retention

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    Thesis (Ed.M.)--Boston UniversityThe purpose of this study was to measure and compare retention between children working alone and with a partner using S.R.A. (Scientific Research Associates) reading materials. The S.R.A. laboratory is a series of graded reading experiences intended to be used by individual children working alone and at their own rate of speed. Its general purpose is to improve many reading skills but in this study the retention factor will be the only concern

    A microscopic view of the yielding transition in concentrated emulsions

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    We use a custom shear cell coupled to an optical microscope to investigate at the particle level the yielding transition in concentrated emulsions subjected to an oscillatory shear deformation. By performing experiments lasting thousands of cycles on samples at several volume fractions and for a variety of applied strain amplitudes, we obtain a comprehensive, microscopic picture of the yielding transition. We find that irreversible particle motion sharply increases beyond a volume-fraction dependent critical strain, which is found to be in close agreement with the strain beyond which the stress-strain relation probed in rheology experiments significantly departs from linearity. The shear-induced dynamics are very heterogenous: quiescent particles coexist with two distinct populations of mobile and `supermobile' particles. Dynamic activity exhibits spatial and temporal correlations, with rearrangements events organized in bursts of motion affecting localized regions of the sample. Analogies with other sheared soft materials and with recent work on the transition to irreversibility in sheared complex fluids are briefly discussed.Comment: 11 pages, 10 figures. Submitted to Soft Matte

    Evaluation of SLAR and thematic mapper MSS data for forest cover mapping using computer-aided analysis techniques

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    A set of training statistics for the 30 meter resolution simulated thematic mapper MSS data was generated based on land use/land cover classes. In addition to this supervised data set, a nonsupervised multicluster block of training statistics is being defined in order to compare the classification results and evaluate the effect of the different training selection methods on classification performance. Two test data sets, defined using a stratified sampling procedure incorporating a grid system with dimensions of 50 lines by 50 columns, and another set based on an analyst supervised set of test fields were used to evaluate the classifications of the TMS data. The supervised training data set generated training statistics, and a per point Gaussian maximum likelihood classification of the 1979 TMS data was obtained. The August 1980 MSS data was radiometrically adjusted. The SAR data was redigitized and the SAR imagery was qualitatively analyzed

    Observational Pattern Learning In Rats

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    Previous research has shown that rats can profit from watching an expert demonstrator preform a simple foraging task. The purpose of the present experiment was to examine whether observing a skilled rat perform a difficult foraging task could influence performance by the observer. The present research also examined whether familiarity with the demonstrator would have an effect on imitation. In this experiment, the testing arena contained 12 towers arranged in a circle with six of them baited. The cues to finding the bait were three different and distinctive wall posters and the pattern of the baited towers. Twelve rats were randomly assigned to be either a demonstrator or an observer. In the first phase of the experiment, the six demonstrator rats were exposed to the task over 50 trials to become skilled demonstrators. In the second phase the observer rats were placed inside the arena with an opportunity to observe the demonstrators perform and then had the opportunity to perform the task themselves. Results revealed that both the demonstrators and observers performed equally over their first 20 trials. Thus, no imitation effects or familiarity effects were found

    Evaluation of SLAR and thematic mapper MSS data for forest cover mapping using computer-aided analysis techniques

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    Separate holograms of horizontally (HH) and vertically (HV) polarized responses obtained by the APQ-102 side-looking radar were processed through an optical correlator and the resulting image was recorded on positive film from which black and white negative and positive prints were made. Visual comparison of the HH and HV images reveals a distinct dark band in the imagery which covers about 30% of the radar strip. Preliminary evaluaton of the flight line 1 date indicates that various features on the HH and HV images seem to have different response levels. The amount of sidelap due to the look angle between flight lines 1 and 2 is negligible. NASA mission #425 to obtain flightlines of NS-001 MSS data and supporting aerial photography was successfully flown. Flight line 3 data are of very good quality and virtually cloud-free. Results of data analysis for selection of test fields and for evaluation of waveband combination and spatial resolution are presented

    Evaluation of SLAR and simulated thematic mapper MSS data for forest cover mapping using computer-aided analysis techniques

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    Kershaw County, South Carolina was selected as the study site for analyzing simulated thematic mapper MSS data and dual-polarized X-band synthetic aperture radar (SAR) data. The impact of the improved spatial and spectral characteristics of the LANDSAT D thematic mapper data on computer aided analysis for forest cover type mapping was examined as well as the value of synthetic aperture radar data for differentiating forest and other cover types. The utility of pattern recognition techniques for analyzing SAR data was assessed. Topics covered include: (1) collection and of TMS and reference data; (2) reformatting, geometric and radiometric rectification, and spatial resolution degradation of TMS data; (3) development of training statistics and test data sets; (4) evaluation of different numbers and combinations of wavelength bands on classification performance; (5) comparison among three classification algorithms; and (6) the effectiveness of the principal component transformation in data analysis. The collection, digitization, reformatting, and geometric adjustment of SAR data are also discussed. Image interpretation results and classification results are presented

    Demographic and Bioenergetic Studies of Cutworms in Curlew Valley

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