Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Transition State Theory01:25

Transition State Theory

Transition-state theory, also known as activated-complex theory, provides a molecular-level explanation of reaction rates in both gas-phase and solution-phase reactions. It extends earlier kinetic models by considering the formation of a short-lived, high-energy configuration during a reaction.The progress of a chemical reaction can be represented using a reaction profile, which plots potential energy against the reaction coordinate. As two reactant molecules approach one another, their...
Phase Transitions01:21

Phase Transitions

A phase transition is the process in which a substance changes from one state of matter to another, like from a solid to a liquid, liquid to gas, or vice versa, at a specific temperature and under given pressure conditions. This change is spontaneous and is affected by alterations in temperature and pressure. These parameters impact the strength of the forces between molecules (intermolecular forces) in the substance.During a phase transition, both the initial and final phases of the substance...
Phase Transitions02:31

Phase Transitions

Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to occupy...
Counterfactual Thinking01:19

Counterfactual Thinking

Counterfactual thinking is a cognitive process wherein individuals mentally reconstruct alternative versions of past events, often beginning with “what if” or “if only.” This reflective mechanism plays a significant role in shaping emotional experiences and guiding future behavior. Though typically triggered by unfavorable or unexpected outcomes, counterfactual thinking can also emerge in mundane, everyday decisions and experiences, revealing its deep entrenchment in human cognition.Types of...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

The forest of knowledge under global change.

Nature·2026
Same author

Early warning signals for loss of control in complex systems.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Higher-Order Interactions Can Promote Coexistence by Rewiring Intransitivities Into Competitive Networks.

Ecology letters·2026
Same author

Floodplain Forests Are Sensitive to Salt-Intrusion During Summer Droughts When Dominated by <i>Salix</i>.

Estuaries and coasts : journal of the Estuarine Research Federation·2026
Same author

Ecosystem technology (ecotech): Harnessing natural processes to address global challenges.

Science advances·2026
Same author

Landscape configuration and community structure jointly determine the persistence of mutualists under habitat loss.

Proceedings. Biological sciences·2026

関連する実験動画

Updated: May 17, 2026

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

重要な移行を予期する.

Marten Scheffer1, Stephen R Carpenter, Timothy M Lenton

  • 1Department of Environmental Sciences, Wageningen University, Post Office Box 47, NL-6700 AA Wageningen, Netherlands. marten.scheffer@wur.nl

Science (New York, N.Y.)
|October 23, 2012
PubMed
まとめ
この要約は機械生成です。

生態系や金融市場などの複雑なシステムには,臨界点があります. ネットワークアーキテクチャと経験的指標を組み合わせた研究は,これらの重要な移行を予測し,関連するリスクと機会を管理するのに役立ちます.

さらに関連する動画

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

関連する実験動画

Last Updated: May 17, 2026

Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

科学分野:

  • 複雑なシステム科学 複雑なシステム科学
  • ネットワーク理論 ネットワーク理論
  • エコロジカル・レジリエンス

背景:

  • 複雑なシステムには,急激な変化の値を表す,臨界点があります.
  • これらの重要な移行は,崩壊のリスクを伴いますが,ポジティブな変化の機会でもあります.
  • 臨界点を理解することは,生態系ネットワーク,金融市場,その他のシステムの管理に不可欠です.

研究 の 目的:

  • 2つの研究分野からの洞察を統合して,臨界点のナビゲーションを強化する.
  • 複雑なシステムにおける臨界点を引き起こす基本的な建築的特徴を特定する.
  • 臨界値の接近を示唆する一般的な経験的指標を明らかにする.

主な方法:

  • 臨界点に関連する複雑なシステムの基本的な建築的特徴を分析する.
  • 臨界値の接近を検出するための経験的指標を調査する.
  • ネットワーク理論とシステムダイナミクスに関する経験的研究からの発見を合成する.

主要な成果:

  • 複雑なシステムを臨界点に備える重要な建築特性を特定した.
  • 臨界変遷の早期警告信号のための一般的な経験的指標を開発した.
  • ネットワーク分析と経験的データを組み合わせて予測の改善の可能性を示した.

結論:

  • システムアーキテクチャの洞察と経験的指標を組み合わせることで,重要な移行を予測する新しいアプローチが提供されます.
  • この学際的なアプローチは,臨界点に関連したリスクと機会をナビゲートする能力を向上させることができます.
  • この分野を前進させるために,この学際的な交差点でのさらなる研究が不可欠です.