Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

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...

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
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
Ver todos los artículos relacionados

Video Experimental Relacionado

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

La causalidad de la información como principio físico.

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
Resumen
Este resumen es generado por máquina.

La causalidad de la información, un nuevo principio, limita la ganancia de información entre los observadores. Eso es lo que está pasando.

Más Videos Relacionados

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

Videos de Experimentos Relacionados

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

Área de la Ciencia:

  • La Teoría de la Información Cuántica es una teoría de la información cuántica.
  • Los fundamentos de la física.

Sus antecedentes:

  • La física cuántica exhibe no determinismo y no clonación.
  • Las correlaciones cuánticas son más fuertes que las clásicas, pero la falta de señalización se mantiene.
  • Las características existentes no definen de manera única la mecánica cuántica; otras teorías permiten correlaciones más fuertes.

Objetivo del estudio:

  • Introducir el principio de la "causalidad de la información".
  • Demuestre que la causalidad de la información es respetada por la física clásica y cuántica.
  • Demostrar que la causalidad de la información es violada por teorías con correlaciones más fuertes que las cuánticas.

Principales métodos:

  • Defina la causalidad de la información basada en la ganancia de información de Alice a Bob limitada por el volumen de comunicación (m bits).
  • Relaciona la causalidad de la información con el principio de no señalización (m=0).
  • Analizar la ganancia de información en teorías sin señalización con correlaciones máximas.

Principales resultados:

  • La física clásica y cuántica respetan la causalidad de la información.
  • Las teorías de no señalización con correlaciones más fuertes que las cuánticas violan la causalidad de la información.
  • Las correlaciones máximas en las teorías de no señalización permitirían el acceso a cualquier subconjunto de m-bits de los datos de Alice.

Conclusiones:

  • La causalidad de la información puede distinguir las teorías físicas de las no físicas.
  • Sugerir la causalidad de la información como una propiedad fundamental de la naturaleza.
  • La causalidad de la información generaliza la condición de no señalización.