Computer Software Reviews.T3 scientific word processing system

1988 ◽  
Vol 28 (4) ◽  
pp. 231-232
Author(s):  
M. Novic ◽  
Jure Zupan
Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


1997 ◽  
Vol 6 (3) ◽  
pp. 57-65 ◽  
Author(s):  
Lisa A. Wood ◽  
Joan L. Rankin ◽  
David R. Beukelman

Word prompt programs are computer software programs or program features that are used in addition to basic word processing. These programs provide word lists from which a user selects a desired word and inserts it into a line of text. This software is used to support individuals with severe speech, physical, and learning disabilities. This tutorial describes the features of a variety of word prompt programs and reviews the current literature on the use of these programs by people with oral and written language needs. In addition, a matrix that identifies the features contained in eight sample word prompt programs is provided. The descriptions of features and the matrix are designed to assist speech-language pathologists and teachers in evaluating and selecting word prompt programs to support their clients' oral and written communication.


Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 699 ◽  
Author(s):  
Carmen Moret-Tatay ◽  
Inmaculada Baixauli-Fortea ◽  
M. Dolores Grau Sevilla ◽  
Tatiana Quarti Irigaray

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.


2000 ◽  
Vol 24 (2-3) ◽  
pp. 53-59
Author(s):  
Maria Van der Kaay ◽  
Ken Wilton ◽  
Michael Townsend

The effectiveness of word-processing as a supplementary written language intervention was examined in a sample of 14 children with mild intellectual disability. The children were enrolled in two special classes in an Auckland primary school. The study was initiated in the senior classroom (age-range 9–11 years), where a personal computer had been installed. In the initial week the children were taught to use a word-processing package, and for the next eight weeks, the children used the computer for daily writing activities. The computer was then shifted to the junior classroom (age-range 6–8 years), and after an initial 1-week period of learning to use the computer/software, the children used the computer for daily writing activities for the next four weeks. Samples of the children’s writing were collected over a 16-week period immediately prior to the introduction of the computer and immediately following the completion of the computer writing period. Each of the samples was subsequently rated on eight qualitative categories. Both classes showed significant improvements in the “organisation” of their writing, and the senior class also showed an increase in their “authority” as authors. The results suggest that use of a word-processing package can help to facilitate the written language development of children with mild intellectual disability


1983 ◽  
Vol 16 (02) ◽  
pp. 182-188 ◽  
Author(s):  
Carl Grafton ◽  
Anne Permaloff

An impressive number of reasonably priced personal computer software packages of interest to political scientists are now on the market. Owners of computers such as the TRS-80 Model III and the Apple II can purchase software for word processing and statistical analysis which can substantially increase their productivity. Scholars trying to meet publication deadlines need no longer be delayed by harried secretaries trying single-handedly to meet the needs of an entire department. A computer/word processor used by a typist of average ability is nearly the equal of a good professional secretary. And those with even fairly large statistical analysis requirements may no longer be tied to the university's hectic “computer center” where they must wait in line for terminals, try to think amid constant movement and never-ending conversation, or suffer errors produced by noise injected between their terminal and the main frame along telephone lines.This is an analysis of statistical packages sold by four companies for use on a variety of low, moderate, and high priced personal computers. Our focus on these packages reflects our statistical needs for research and teaching. We were looking for programs capable of handling relatively large data bases and with the capacity to perform multiple regression and time series analyses. We needed a program that could be used to analyze data generated from small survey samples. This required both frequency distribution and contingency table development and analysis. Finally, we needed a program or programs in an affordable price range.


1986 ◽  
Vol 5 (3) ◽  
pp. 203-216 ◽  
Author(s):  
SARA J. CZAJA ◽  
KATKA HAMMOND ◽  
JAMES J. BLASCOVICH ◽  
HELEN SWEDE

1982 ◽  
Vol 26 (7) ◽  
pp. 625-628 ◽  
Author(s):  
Alan S. Neal ◽  
William H. Emmons

In order to answer questions related to keying errors and operator corrections, performance data were collected on typists as they keyed text into a simulated word processing system. Data are presented on the frequency of error detection, the amount of time spent correcting errors, the number of characters erased per error correction, and the types of errors corrected. Comparisons are also made between operator corrected and uncorrected errors.


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