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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Updated: Jun 14, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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基于投票的干预计划,使用人工智能生成的图像.

Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis

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    此摘要是机器生成的。

    生成型人工智能模型可以帮助建筑师和城市规划人员创建环保的城市设计. 本研究使用人工智能图像绘制和公民投票框架来民主化欧洲城市的城市规划.

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    科学领域:

    • 工程 工程师 工程师 工程师
    • 城市规划 城市规划
    • 人工智能的人工智能

    背景情况:

    • 人工智能 (AI) 和先进的算法在科学领域提供了新的可能性.
    • 目前的人工智能应用主要在艺术和医学领域,在工程领域还有未开发的潜力.
    • 人工智能可以支持建筑师和城市规划人员设计可持续的城市环境.

    研究的目的:

    • 探索人工智能的应用,特别是图像绘制,用于生成替代城市设计解决方案.
    • 引入公民参与的投票框架来选择首选的城市规划.
    • 在工程和城市规划中展示生成性AI的价值.

    主要方法:

    • 利用图像绘制算法为四个欧洲城市生成设计替代方案.
    • 实施了以投票为基础的框架,以促进选择最合适的城市规划.
    • 让公民参与决策过程,以分散城市规划.

    主要成果:

    • 该研究成功地使用AI为城市环境生成了多种设计替代方案.
    • 投票框架使城市规划解决方案的民主选择过程成为可能.
    • 生成型人工智能在支持建筑师和城市规划师方面被证明是有效的.

    结论:

    • 生成型人工智能模型是建筑师和城市规划师的宝贵工具.
    • 人工智能可以在设计环保的城市解决方案方面发挥重要作用.
    • 通过投票框架的公民参与增强了城市规划过程.