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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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Computerized Adaptive Testing System of Functional Assessment of Stroke
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Computerized Adaptive Testing System of Functional Assessment of Stroke

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El software y el futuro de los lenguajes de programación

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
Resumen

Comprender el software global es crucial. Esta investigación explora la gran cantidad de software, lenguajes de programación y paradigmas, abordando los desafíos en el mantenimiento, la seguridad y la funcionalidad para la I + D de software.

Área de la Ciencia:

  • Ciencias de la computación Ciencias de la computación
  • Ingeniería de software Ingeniería de software.

Sus antecedentes:

  • El software es fundamental para la infraestructura de información global.
  • La escala y la diversidad de software en uso no están bien cuantificadas.
  • El software existente presenta importantes desafíos de mantenimiento, seguridad y funcionalidad.

Objetivo del estudio:

  • Para analizar el alcance y la naturaleza del software en uso global.
  • Identificar los lenguajes y paradigmas de programación predominantes.
  • Para abordar los desafíos que enfrenta la comunidad de investigación y desarrollo de software (I + D).

Principales métodos:

  • Análisis de los repositorios de software y tendencias de desarrollo.
  • Examen de la adopción de lenguajes de programación y los cambios de paradigma.

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  • Revisión de los problemas de mantenimiento, seguridad y funcionalidad del software.
  • Principales resultados:

    • Cuantificación de la huella global de software.
    • Identificación de los lenguajes de programación dominantes y emergentes.
    • Caracterización de los desafíos clave en la I + D de software.

    Conclusiones:

    • Una comprensión completa del software es esencial para la innovación futura.
    • Abordar el mantenimiento, la seguridad y la funcionalidad es fundamental para la comunidad de I + D.
    • Se necesita más investigación para optimizar el desarrollo y la implementación de software.