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Word processing

About: Word processing is a research topic. Over the lifetime, 9002 publications have been published within this topic receiving 229547 citations.


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Journal ArticleDOI
TL;DR: The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.
Abstract: Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or hundreds of thousands of variables are available. These areas include text processing of internet documents, gene expression array analysis, and combinatorial chemistry. The objective of variable selection is three-fold: improving the prediction performance of the predictors, providing faster and more cost-effective predictors, and providing a better understanding of the underlying process that generated the data. The contributions of this special issue cover a wide range of aspects of such problems: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.

14,509 citations

Journal ArticleDOI
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.

6,803 citations

Journal ArticleDOI
TL;DR: In this paper, the relative effects of usefulness and enjoyment on intentions to use, and usage of, computers in the workplace were reported concerning the relative benefits of using computers in work environments.
Abstract: Previous research indicates that perceived usefulness is a major determinant and predictor of intentions to use computers in the workplace. In contrast, the impact of enjoyment on usage intentions has not been examined. Two studies are reported concerning the relative effects of usefulness and enjoyment on intentions to use, and usage of, computers in the workplace. Usefulness had a strong effect on usage intentions in both Study 1, regarding word processing software (β=.68), and Study 2, regarding business graphics programs (β=.79). As hypothesized, enjoyment also had a significant effect on intentions in both studies, controlling for perceived usefulness (β=.16 and 0.15 for Studies 1 and 2, respectively). Study 1 found that intentions correlated 0.63 with system usage and that usefulness and enjoyment influenced usage behavior entirely indirectly through their effects on intentions. In both studies, a positive interaction between usefulness and enjoyment was observed. Together, usefulness and enjoyment explained 62% (Study 1) and 75% (Study 2) of the variance in usage intentions. Moreover, usefulness and enjoyment were found to mediate fully the effects on usage intentions of perceived output quality and perceived ease of use. As hypothesized, a measure of task importance moderated the effects of ease of use and output quality on usefulness but not on enjoyment. Several implications are drawn for how to design computer programs to be both more useful and more enjoyable in order to increase their acceptability among potential users.

5,367 citations

Journal ArticleDOI
TL;DR: The strength of PAML, in comparison with other phylogenetic packages currently available, is its implementation of a variety of evolutionary models, which include several models of variable evolutionary rates among sites, models for combined analyses of multiple gene sequence data and models for amino acid sequences.
Abstract: PAML, currently in version 1.2, is a package of programs for phylogenetic analyses of DNA and protein sequences using the method of maximum likelihood (ML). The programs can be used for (i) maximum likelihood estimation of evolutionary parameters such as branch lengths in a phylogenetic tree, the transition/transversion rate ratio, the shape parameter of the gamma distribution for variable evolutionary rates at sites, and rate parameters for different genes; (ii) likelihood ratio test of hypotheses concerning sequence evolution, such as rate constancy and independence among sites and rate constancy among lineages (the molecular clock); (iii) calculation of substitution rates at sites and reconstruction of ancestral nucleotide or amino acid sequences; and (iv) phylogenetic tree reconstruction by maximum likelihood and Bayesian methods. The strength of PAML, in comparison with other phylogenetic packages currently available, is its implementation of a variety of evolutionary models. These include several models of variable evolutionary rates among sites, models for combined analyses of multiple gene sequence data and models for amino acid sequences. Multifurcating trees are supported, as well as trees in which some sequences are ancestral to some others. A heuristic tree search algorithm (star decomposition) is used in the package, but tree making is not a strong point of the current version, although work is under way to implement efficient search algorithms. Major programs in the package, as well as the types of analyses they perform, are listed in Table 1. More details are available in the documentation included in the package, written using Microsoft Word. PAML is distributed free of charge for academic use only. The package, including ANSI C source codes, documentation, example data sets, and control files, can be obtained by anonymous ftp at mw511.biol.berkeley.edu/pub, or from the Indiana molecular biology ftp site at ftp.bio.indiana.edu under the directory Incoming or molbio/evolve . MAC and PowerMac executables are also available, although DOS executables are not prepared yet. Further information about the package is available from the World Wide Web at

5,022 citations

Journal ArticleDOI
TL;DR: MapChart is a software package that takes as input the linkage and QTL data and generates charts of linkage maps andQTLs and is exported as vector graphics rather than bitmaps, which makes them easy to rescale and to edit further if desired.
Abstract: Over the last 15 years a wealth of linkage maps and quantitative trait loci (QTL) mapping results have become available. The pace of generating this genetic information is accelerating owing to advances in molecular marker technology and the development of software for linkage analysis and QTL mapping. A graphical presentation of this information is often needed, both for publication purposes and for easy and intuitive interpretation. However, the development of tools for the graphical presentation of linkage maps and QTLs has lagged behind. DrawMap (Van Ooijen 1994) was an early program capable of drawing genetic linkage maps. However, the output of this program was not very well suited for use in modern word processors and presentation software. Authors in this field have therefore, of necessity, resorted to the use of general graphics software to compose charts of their linkage and QTL maps. This is always a laborious process, with sometimes disappointing results. Also, each time a map is recalculated when new data become available, this process has to be repeated. For this reason I developed MapChart, a software package that takes as input the linkage and QTL data and generates charts of linkage maps and QTLs. These charts can easily be exported to word processing or presentation software. The charts are exported as vector graphics (Windows enhanced metafiles) rather than bitmaps, which makes them easy to rescale and to edit further if desired.

4,768 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202312
202234
2021174
2020207
2019206
2018210