This article has aims on mapping and analyzing aspects of computer science, on how they affect creation, aesthetic reception and operating mode of digital poetry. Specifically, it means to look at the programming lang...
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This article has aims on mapping and analyzing aspects of computer science, on how they affect creation, aesthetic reception and operating mode of digital poetry. Specifically, it means to look at the programming language as part of the creation and constitution of the digital literary work, as that which stands behind what is shown to the reader, as a restriction and potentiality of creation, and as a signifier in a construction that has its own materiality as a giver of meaning. And finally, it intends on comprehending up to what point the knowledge of these modes and mediums are necessary for both the creation and reception of the digital literary works.
Many learning theories have been studied and developed for the instructional design model. Among these theories, constructivist learning theory and ARCS motivation theory are most widely applied. In this paper, we sho...
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ISBN:
(纸本)9781424435197
Many learning theories have been studied and developed for the instructional design model. Among these theories, constructivist learning theory and ARCS motivation theory are most widely applied. In this paper, we show that either of these two theories alone is not perfect to instructional design model and propose the concepts: experience that is the combination point of both theories, the core of the knowledge structure and experiencing teaching strategy. We present a hybrid model of instructional design around experiencing and form an adequate framework for designing courses. Our model is further augmented by a simulation module to demonstrate how it can be utilized in learning programming language more effectively.
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure. In our previous work, we have implem...
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ISBN:
(纸本)9788001043233
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure. In our previous work, we have implemented top trees, but the usage still requires a detail knowledge of the structure which is quite complex. In this paper, we introduce Top Tree Friendly language (TFL) and Top Tree Query language (TQL). The TFL is a special programming language which combines declarative and procedural approaches that results in simpler and faster algorithm designing. The query language TQL provides an easy top trees administration. The implementation of top trees, the programming language TFL and the query language TQL together form a complex solution for using top trees.
The aim has been to develop a model for dynamic updating of software. A major difficulty with dynamic updating is the execution time overhead required for running the extra code embedded within the updatable version o...
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ISBN:
(纸本)9783642106187
The aim has been to develop a model for dynamic updating of software. A major difficulty with dynamic updating is the execution time overhead required for running the extra code embedded within the updatable version of the program. In order to resolve the difficulty, the dynamic updating model, suggested in this paper, activates the updatable version whenever updates are ready. When the updating is finished, the execution carries on with a newly updated program in which there is not any extra code for dynamic updating. Since the Updatable version of the program is created at run-time, the proposed model not only increases the performance of the system, but also enables us to update programs that have been compiled and executed without any dynamic updating considerations, before. Our experimental results demonstrate the applicability and performance of the proposed model.
This paper presents a computer aided system that aims to improve the quality of data for hydroelectric plants. This system consists of two modules. The first is a relational database that organizes, standardizes and m...
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ISBN:
(纸本)9781424438105
This paper presents a computer aided system that aims to improve the quality of data for hydroelectric plants. This system consists of two modules. The first is a relational database that organizes, standardizes and manages data from hydroelectric plants. The second module allows a user to build, store and manage advanced queries on this or certain other databases. The data manager and the queries builder were tested with data from Brazilian hydroelectric plants and the results show the potential for a significant improvement in terms of efficiency for the operation planning of electrical power systems. Planning has strong dependence on the quality of the data used in mathematical models and other built-in computational tools. The software project and the computational implementation of these modules use the Object-Oriented Paradigm, the C++ programming language and the Structured Query language (SQL). This assures a modern and efficient structure for the system.
Improving human health is a major aim of medical research, but it requires that variation between individuals be taken into account since each person carries a different combination of gene variants and is exposed to ...
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Improving human health is a major aim of medical research, but it requires that variation between individuals be taken into account since each person carries a different combination of gene variants and is exposed to different environmental conditions, which can cause differences in susceptibility to diseases. With the advent of molecular markers in the 1980s, it became possible to genotype individuals (i.e., to detect the presence or absence of local DNA sequence variants at each of hundreds of genome positions). This DNA sequence variation could then be related to disease susceptibility by using pedigree data. Such linkage analyses proved to be difficult for more complex diseases. Recently, with the decreasing costs of genotyping, analyses of large natural populations of unrelated individuals became possible and resulted in the association of many genes (and genetic variants in these genes) with complex diseases. Unfortunately, for a considerable proportion of these genes and their proteins, it is not yet clear what their downstream effects are. Studying the expression of these genes and proteins can help to uncover the effects of these variants on the expression of these and other genes, proteins, metabolites, and phenotypes. In this chapter, we focus on the high-throughput and genome-wide measurement of gene expression in a natural population of unrelated humans, and on the subsequent association of variation in expression to “expression quantitative trait loci” (eQTLs) on DNA using oligonucleotide arrays with hundreds of thousands of single-nucleotide polymorphism (SNP) markers that capture most of the human genetic variation well. This strategy has been successfully applied to several diseases such as celiac disease (Hunt et al. 2008, Nat Genet 40, 395–402) and asthma (Moffatt et al. 2007, Nature 448, 470–473): associated genetic variants have been identified that affect levels of gene expression in cis or in trans, providing insight into the biological pathwa
A full understanding of leukocyte responses to external stimuli requires knowledge of the full complement of proteins found on their surfaces. Systematic examination of the mammalian cell surfaces at the protein level...
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A full understanding of leukocyte responses to external stimuli requires knowledge of the full complement of proteins found on their surfaces. Systematic examination of the mammalian cell surfaces at the protein level is hampered by technical difficulties associated with proteomic analysis of so many membrane proteins and the large amounts of starting material required. The use of transcriptomic analyses avoids challenges associated with protein stability and separation and enables the inclusion of an amplification step; thus allowing the use of cell numbers applicable to the study of sub populations of, for example, primary lymphocytes. Here we present a transcriptomic methodology based on Serial Analysis of Gene Expression (SAGE) to recover an essentially complete and quantitative profile of mRNA species in a particular cell. We discuss how, using bioinformatic tools accessible to standard desktop computers, plasma membrane proteins can be identified in silico, from this list. While we describe the use of this approach to characterise the cell surface protein complement of a resting CD8+ T-cell clone, it is theoretically applicable to any cell surface, where a suitable pure population of cells is available. less
Gene expression profiling provides unprecedented opportunities to study patterns of gene expression regulation, for example, in diseases or developmental processes. Bioinformatics analysis plays an important part of p...
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Gene expression profiling provides unprecedented opportunities to study patterns of gene expression regulation, for example, in diseases or developmental processes. Bioinformatics analysis plays an important part of processing the information embedded in large-scale expression profiling studies and for laying the foundation for biological interpretation. Over the past years, numerous tools have emerged for microarray data analysis. One of the most popular platforms is Bioconductor, an open source and open development software project for the analysis and comprehension of genomic data, based on the R programming language. In this chapter, we use Bioconductor analysis packages on a heart development dataset to demonstrate the workflow of microarray data analysis from annotation, normalization, expression index calculation, and diagnostic plots to pathway analysis, leading to a meaningful visualization and interpretation of the data. less
This chapter is intended as a handbook for anyone interested in using microarrays to study Toll-like receptor (TLR) function or any other biological question. Although microarray technology has developed into a standa...
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This chapter is intended as a handbook for anyone interested in using microarrays to study Toll-like receptor (TLR) function or any other biological question. Although microarray technology has developed into a standard tool at many laboratories disposal, most of the actual microarray processing is done by core facilities using highly specialized equipment. This chapter only briefly describes these methods in principle and instead focus on the parts that investigators themselves can influence, such as the experimental design, RNA isolation, statistical analysis, cluster analysis, data visualization, and biological interpretation. less
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