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

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
Newton's First Law: Application01:12

Newton's First Law: Application

Experience suggests that an object at rest remains at rest if left alone, and that an object in motion tends to slow down and stop unless some effort is made to keep it moving. However, Newton's first law gives a deeper explanation of this observation. The study of Newton's laws is like recognizing patterns in nature from which further patterns can be discovered. The genius of Galileo, who first developed the idea for the first law of motion, and Newton, who clarified it, was to ask the...
Principle of Equivalence01:18

Principle of Equivalence

According to Albert Einstein (1897-1955), free-falling and feeling weightless are intrinsically linked. If a person were in free-fall under gravity, for example, diving towards the Earth from an airplane, they would feel completely weightless. Similarly, a person descending in a lift may feel partially weightless. Broadly speaking, it is assumed that an object in a uniform gravitational field and an object undergoing constant acceleration in the absence of gravity are under the same...
The Scope of Physics01:17

The Scope of Physics

Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present technologies.
Physics knowledge...

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

Outcomes and Predictors of In-Hospital Mortality After Isolated Coronary Artery Bypass Grafting in Patients with Severe Ischemic Cardiomyopathy: A Single-Centre Retrospective Analysis.

Medical sciences (Basel, Switzerland)·2026
Same author

General Quantum Backflow in Realistic Wave Packets.

Physical review letters·2026
Same author

Unquestionable Bell Theorem for Interwoven Frustrated Downconversion Processes.

Physical review letters·2026
Same author

Proper and Improper Mixed States Serve as Different Prior Beliefs for Quantum State Retrodiction.

Physical review letters·2026
Same author

Structural and Non-Structural Deterioration After Biological Aortic Valve Replacement: Long-Term Outcomes of 918 High-Risk Patients.

Journal of cardiovascular development and disease·2026
Same author

Outcomes After Surgical Treatment of Infective Endocarditis with Destruction of the Cardiac Skeleton.

Medicina (Kaunas, Lithuania)·2026
Same journal

Daily briefing: 'Cyborg' cockroaches breathe underwater with printed suit.

Nature·2026
Same journal

China boosts prestigious grants for young scientists - will it ease competition?

Nature·2026
Same journal

Incoming US science academy chief vows to 'double down' on research.

Nature·2026
Same journal

Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization.

Nature·2026
Same journal

Electrodeposited self-assembled molecules for perovskite photovoltaics.

Nature·2026
Same journal

Neutrino's nursery found: the 'Shadow Blaster'.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: Jun 19, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

物理原理としての情報因果関係.

Marcin Pawłowski1, Tomasz Paterek, Dagomir Kaszlikowski

  • 1Institute of Theoretical Physics and Astrophysics, University of Gdańsk, 80-952 Gdańsk, Poland. dokmpa@univ.gda.pl

Nature
|October 23, 2009
PubMed
まとめ
この要約は機械生成です。

新しい原理である情報因果関係は,観察者間の情報獲得を制限する. イット・イット・イット

さらに関連する動画

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

関連する実験動画

Last Updated: Jun 19, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

科学分野:

  • 量子情報理論とは,量子情報理論である.
  • 物理学の基礎について

背景:

  • 量子物理学は非決定論と非クローン化を示している.
  • 量子相関は古典的な相関よりも強いが,シグナリングなしの相関は成立する.
  • 現存する特性は量子力学を独一無二に定義するものではなく,他の理論によってより強い相関が認められる.

研究 の 目的:

  • "情報因果関係"の原則を導入する.
  • 情報の因果関係が古典物理学と量子物理学によって尊重されていることを示す.
  • 情報の因果関係が,量子的な相関よりも強い相関関係を持つ理論によって侵害されていることを実証する.

主な方法:

  • アリスからボブへの情報獲得に基づいて情報因果関係を定義し,通信量 (m ビット) によって制限します.
  • 情報の因果関係を,シグナルなしの原理 (m=0) と関連付けます.
  • 最大の相関を持つ無信号理論における情報獲得を分析する.

主要な成果:

  • クラシック物理学と量子物理学は,情報因果関係を尊重しています.
  • 量子より強い相関を持つ無信号理論は,情報因果関係に違反する.
  • 無信号理論における最大相関は,アリスのデータの任意のm-bitサブセットにアクセスすることを可能にします.

結論:

  • 情報因果関係は,物理的理論と非物理的理論を区別することができる.
  • 情報の因果関係を,自然の基本的性質として示唆する.
  • 情報因果関係は,無信号状態を一般化します.