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相关概念视频

Self-Discrepancy Theory02:45

Self-Discrepancy Theory

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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This protocol presents a multimodal approach combining Raman spectroscopy and tomographic phase microscopy for label-free, non-invasive phenotyping of living human breast cancer cells. It includes a user-friendly, human-bias-free analysis pipeline for rapid, quantitative morpho-chemical analysis, providing detailed molecular and structural insights with applications in cancer research and cell...
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Self-Discrepancy and Its Effects01:29

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Self-discrepancy theory explains how people compare their actual self to their ideal and ought selves and how mismatches between these self-guides can lead to emotional distress. Developed by E. Tory Higgins, the theory distinguishes among three components of self-concept: the actual self, the ideal self, and the ought self. These refer respectively to how individuals perceive themselves, how they aspire to be, and how they believe they are obligated to be. Emotional well-being, self-esteem,...
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Gas sampling from laboratory-scale flames with online analysis of all species by mass spectrometry is a powerful method to investigate the complex mixture of chemical compounds occurring during combustion processes. Coupled with tunable soft ionization via synchrotron-generated vacuum-ultraviolet radiation, this technique provides isomer-resolved information and potentially fragment-free mass spectra.
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相关实验视频

Updated: Jan 20, 2026

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在高级过程控制中实现动态差异减少顺序建模的框架.

San Dinh1, Claudemi A Nascimento1, David S Mebane2

  • 1Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.

Industrial & engineering chemistry research
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概括

本研究提出了一种新的灰色框建模方法,用于先进的过程控制. 它提高了模型准确性和计算效率,用于模型预测控制 (MPC) 中的动态差异减少顺序建模.

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科学领域:

  • 化学工程是化学工程的重要组成部分.
  • 控制系统工程 控制系统工程
  • 计算机建模 计算建模

背景情况:

  • 先进的过程控制依赖于准确的动态模型.
  • 减少顺序模型提供计算效率,但往往牺牲准确性.
  • 现有的模型不匹配纠正方法是有限的.

研究的目的:

  • 引入一个新的动态差异减少顺序建模框架.
  • 提高过程控制中的模型准确性和计算性能.
  • 为先进的过程控制应用程序开发一个灰色框建模方法.

主要方法:

  • 构建灰盒模型,结合第一原则和黑盒组件.
  • 专注于减少顺序模型内的变化速率的差异.
  • 使用移动地平线估计来生成数据和贝叶斯推理进行校准.

主要成果:

  • 提出的动态差异方法可以弥补在缩小模型中丢失的动态信息.
  • 证明了模型准确性和计算性能的提高.
  • 该框架使用菲舍尔-托普施合成反应堆模拟进行了验证.

结论:

  • 新的框架有效地实现了动态差异减少顺序建模.
  • 这种方法提高了减少顺序模型的适合性,用于模型预测控制 (MPC).
  • 该方法为先进的过程控制提供了计算复杂性和模型精度之间的平衡.