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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
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An electrical network is a system composed of interconnected elements, such as resistors, capacitors, inductors, and voltage or current sources. Unlike a circuit, an electrical network does not necessarily form a closed path. In other words, while all circuits can be considered networks due to their interconnected nature, not every network qualifies as a circuit.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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FX-DARTS:设计以差异化架构搜索和基于的超级网络收缩的拓式不受约束的架构.

Xuan Rao, Bo Zhao, Derong Liu

    IEEE transactions on neural networks and learning systems
    |June 17, 2025
    PubMed
    概括

    本研究介绍了灵活的DARTS (FX-DARTS),一种在可微分架构搜索中消除架构约束的方法. FX-DARTS能够发现具有提高灵活性和性能的新型神经网络架构.

    科学领域:

    • 人工智能的人工智能
    • 计算机科学 计算机科学

    背景情况:

    • 可差分架构搜索 (DARTS) 强加强烈的先验,限制了架构灵活性,并阻碍了自动机器学习 (AutoML) 的进步.
    • 现有的先验,虽然有助于优化,但限制了对更强大的神经网络架构的探索.

    研究的目的:

    • 通过消除对细胞拓学的限制和修改超级网络离散,减少DARTS中的先前约束.
    • 引入一个灵活的DARTS (FX-DARTS) 方法,在扩大的搜索空间中保持搜索稳定性.

    主要方法:

    • 开发了灵活的DARTS (FX-DARTS) 方法.开发了灵活的DARTS (FX-DARTS) 方法.
    • 利用基于的超级网络缩小 (ESS) 框架来管理扩大的搜索空间.
    • 消除了关于细胞拓学的严格先行规则,并修改了离散机制.

    主要成果:

    • 在没有严格的先行规则的情况下,FX-DARTS成功地导出了神经架构.
    • 该方法尽管增加了架构灵活性,但仍然保持了搜索稳定性.
    • 图像分类基准的实验结果显示了竞争性性能-复杂性权衡.

    结论:

    • 在可微分架构搜索中,FX-DARTS增强了架构灵活性.

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  • 这种方法可以发现新的,高性能的神经网络架构.
  • 这种方法为未来的AutoML研究提供了一个有希望的方向.