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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Introduction to R01:11

Introduction to R

R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's functionality,...
Introduction to MATLAB01:24

Introduction to MATLAB

MATLAB stands for Matrix Laboratory. MathWorks developed MATLAB as a multi-paradigm numerical computing environment and proprietary programming language. It has evolved significantly over the years to become a tool utilized by engineers, scientists, and mathematicians for various tasks, including matrix calculations, developing algorithms, data analysis, and visualization. MATLAB's applications span various industries and disciplines. It's used in image and signal processing, communications,...
Language01:16

Language

Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
Components of Language01:24

Components of Language

Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Language Development01:22

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...

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Updated: Jul 6, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

软件和编程语言的未来

Alfred V Aho1

  • 1Department of Computer Science, Columbia University, New York, NY 10027, USA. aho@cs.columbia.edu

Science (New York, N.Y.)
|February 28, 2004
PubMed
概括

了解全球软件至关重要. 这项研究探讨了大量的软件,编程语言和范式,解决了软件研发的维护,安全和功能方面的挑战.

科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程

背景情况:

  • 软件是全球信息基础设施的基础.
  • 使用的软件的规模和多样性没有得到很好的量化.
  • 现有的软件面临着重大维护,安全和功能方面的挑战.

研究的目的:

  • 分析全球使用的软件的范围和性质.
  • 识别流行的编程语言和范式.
  • 解决软件研发 (R&D) 社区面临的挑战.

主要方法:

  • 软件存储库和发展趋势的分析.
  • 检查编程语言的采用和范式的转变.
  • 审查软件维护,安全和功能问题.

主要成果:

  • 全球软件足迹的量化.
  • 确定主导和新兴编程语言.
  • 描述软件研发的关键挑战.

结论:

  • 对软件的全面理解对于未来的创新至关重要.
  • 解决维护,安全和功能对于研发社区至关重要.

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  • 需要进一步的研究来优化软件开发和部署.