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相关概念视频

Social Loafing01:37

Social Loafing

34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
34.8K
Sample Size Calculation01:19

Sample Size Calculation

3.3K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
3.3K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Reason and Intuition01:37

Reason and Intuition

6.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.4K
Maximum Size of Aggregate01:12

Maximum Size of Aggregate

106
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
106
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K

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相关实验视频

Updated: Jun 25, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

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基于智能学习的方法来确定敏捷实践中理想的团队规模.

Rodrigo Olivares1, Rene Noel1, Sebastián M Guzmán1

  • 1Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso 2362905, Chile.

Biomimetics (Basel, Switzerland)
|May 24, 2024
PubMed
概括
此摘要是机器生成的。

这项研究优化了敏捷的软件开发团队组织,使用生物灵感算法和集体学习. 该方法提高了沟通效率和团队规模,以更好地提供业务价值.

关键词:
敏捷实践是一种敏捷的实践.组合学习组合学习机器学习是机器学习.这是一种超听证学 (metaheuristics).软件工程 软件工程 软件工程

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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

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相关实验视频

Last Updated: Jun 25, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

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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
  • 人工智能的人工智能

背景情况:

  • 扩展敏捷软件开发在团队组织中提出了挑战,以实现有效的沟通和独立的价值交付.
  • 优化团队结构以尽量减少沟通道 (团队内部和团队内部) 是一个关键问题.

研究的目的:

  • 为优化敏捷软件开发团队组织提出和评估生物启发的算法.
  • 通过整合合体学习来增强优化器性能.

主要方法:

  • 应用一组生物启发的算法来建模团队组织作为一个优化问题.
  • 整合集体学习以改善解决过程并实现近乎最佳的结果.
  • 基于勘探和开采阶段对它们的融合特性进行元启发学分析.

主要成果:

  • 拟议的方法为团队规模提供了更精确的定义,与行业标准保持一致.
  • 合体学习提高了生物灵感优化器的性能.
  • 这种新的方法与传统算法版本相比,显示出更高的性能.

结论:

  • 生物启发的算法加上集体学习提供了优化敏捷团队结构的有效解决方案.
  • 该方法解决了在规模化的敏捷环境中平衡沟通效率和独立团队能力的关键挑战.
  • 这项研究提供了一种数据驱动的团队组建方法,可以提高整体软件开发的生产力.