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相关概念视频

Steps in the Modeling Process01:14

Steps in the Modeling Process

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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Modeling in Therapy01:26

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Modeling and Similitude01:12

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Power and Energy01:12

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The power and energy delivered to an element are subjects of great significance in the field of electrical engineering. It is a well-known fact that a 100-watt light bulb emits more light than a 60-watt one. Therefore, power and energy calculations play a crucial role in the analysis of electrical circuits.
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When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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相关实验视频

Updated: Jul 11, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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解开能源政策制定的建模过程.

Samuele Lo Piano1, Máté János Lőrincz1, Arnald Puy2

  • 1School of the Built Environment, University of Reading, Reading, Berkshire, UK.

Risk analysis : an official publication of the Society for Risk Analysis
|November 14, 2023
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概括

能源系统建模可以通过创造虚假的确定性来限制政策选择. 这项研究建议使用诸如数值单位差值评估标准 (NUSAP) 等质量评估方法,以确保更强大,更包容的能源研究.

关键词:
我们的NUSAP.能源系统建模能源系统建模方法的非中立性 方法的非中立性后常态科学是一门科学.敏感性审计 审计 敏感性审计不确定性是一种不确定性.

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Last Updated: Jul 11, 2025

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科学领域:

  • 能源系统分析 能源系统分析
  • 政策建模 政策建模
  • 科学不确定性 科学不确定性

背景情况:

  • 能源系统模型对于政策决策至关重要,但可以过度简化复杂的系统.
  • 历史上的例子,比如国际应用系统分析研究所 (IIASA) 在20世纪80年代的全球建模,表明模型如何过度缩小政策选择.
  • 对模型输出的感知过度确定性可能会阻止探索各种政策途径.

研究的目的:

  • 探索能源系统建模如何导致政策替代方案的过早关闭.
  • 介绍和说明质量评估方法,以提高模型的反射性和稳定性.
  • 鼓励采用这些实践,使能源研究更具防御性和包容性.

主要方法:

  • 国际应用系统分析研究所 (IIASA) 全球建模的回顾性案例研究分析.
  • 质量评估技术的讨论:数值单位差值评估 (NUSAP),诊断图和灵敏度审计 (SAUD).
  • 在三个当代案例中,反射建模的说明性应用:英国能源政策 (ESME),综合评估模型 (IAM) 中的负排放技术 (NET) 和生态足迹指标.

主要成果:

  • 建模可以创造一种"过度确定性",限制考虑其他政策选择.
  • 数值单位差值评估 (NUSAP),诊断图和灵敏度审计 (SAUD) 提供了评估和改善模型质量的实用方法.
  • 反射式建模实践,当应用时,显示出更细微和更全面的政策分析的潜力.

结论:

  • 建模人员应该积极使用质量评估工具,以减轻过度确定性和有限的政策选择的风险.
  • 采用NUSAP,诊断图和灵敏度审计可以导致更强大的,可防御的和包容的能源建模.
  • 加强模型的透明度和反射性对于有效的能源政策制定和研究至关重要.