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相关概念视频

Global Regulatory Systems01:28

Global Regulatory Systems

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Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Multiple Pipe Systems01:21

Multiple Pipe Systems

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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Zones of Protection01:16

Zones of Protection

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In power systems, the entire setup is divided into protective zones to isolate faults and protect the rest of the network. These zones include generators, transformers, buses, transmission lines, distribution lines, and motors. Each zone can be visualized as a separate room in a house, with each room protected by its own circuit breaker.
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相关实验视频

Updated: Mar 7, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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通过网络重新布线,减轻供应链中的系统性风险.

Giacomo Zelbi1, Leonardo Niccolò Ialongo1,2, Stefan Thurner3,4,5,6

  • 1Complexity Science Hub Vienna, 1030, Vienna, Austria.

Scientific reports
|March 5, 2026
PubMed
概括
此摘要是机器生成的。

供应链中断源于网络结构. 重新连接供应商链接可以在不影响生产的情况下减少16-50%的系统风险,提高整体供应链的弹性.

关键词:
蒙特卡洛模拟的蒙特卡洛模拟生产网络的生产网络.恢复力 恢复力供应链重新布线的原因系统性风险是一个系统性风险.

相关实验视频

Last Updated: Mar 7, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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科学领域:

  • 网络科学 网络科学
  • 供应链管理 供应链管理
  • 统计物理学的统计物理.

背景情况:

  • 由于相互依赖,供应链容易受到系统性风险的影响,导致级联中断.
  • 供应链网络 (SCN) 中的系统风险是可量化的,与网络拓和动态相关,但拓的具体贡献尚不清楚.

研究的目的:

  • 调查是否重新连接供应商-客户对可以显著减少供应链中的系统风险.
  • 量化网络拓对系统风险的影响,并评估有针对性的网络修改的有效性.

主要方法:

  • 供应链网络 (SCN) 的量化系统性风险.
  • 采用统计物理方法来最大限度地降低系统风险,同时尊重固定的生产约束.
  • 分析了厄瓜多尔和匈牙利国家SCN的子网络.

主要成果:

  • 通过重新连接供应商-客户对,系统风险降低了16-50%,而不会影响公司的生产产出.
  • 通过显著地改变网络连接来实现风险降低.
  • 该研究发现,目前的SCN拓具有不必要的高水平的系统风险.

结论:

  • 对供应商关系的有针对性的重新布线可以大大提高供应链的弹性.
  • 网络拓在确定系统风险水平方面发挥着关键作用.
  • 通过战略性供应商修改,可以实现与自然网络演变相匹配的弹性改进.