Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Causality in Epidemiology01:21

Causality in Epidemiology

338
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...
338
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

112
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
112
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

72
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
72
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

228
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:
228
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.0K
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...
3.0K
Time-Series Graph00:54

Time-Series Graph

4.3K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Algorithmic Compression via Pretrained Neural Networks.

Entropy (Basel, Switzerland)·2026
Same author

Simplicity and Complexity in Combinatorial Optimization.

Entropy (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

5.9K

模拟时间的箭头与因果多重制造机地图.

Aram Ebtekar1, Marcus Hutter2,3

  • 1Independent Researcher, Vancouver, BC V5Y 3J6, Canada.

Entropy (Basel, Switzerland)
|September 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个因果模型来解释时间.

关键词:
马尔科夫的财产是马尔科夫的财产.当地的因果关系.记忆系统 记忆系统时间的心理箭头记录 记录 记录 记录 记录热力学第二定律 热力学第二定律象征性的动力学是象征性的.

更多相关视频

Modeling Stroke in Mice - Middle Cerebral Artery Occlusion with the Filament Model
06:28

Modeling Stroke in Mice - Middle Cerebral Artery Occlusion with the Filament Model

Published on: January 6, 2011

91.8K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

相关实验视频

Last Updated: Jun 12, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

5.9K
Modeling Stroke in Mice - Middle Cerebral Artery Occlusion with the Filament Model
06:28

Modeling Stroke in Mice - Middle Cerebral Artery Occlusion with the Filament Model

Published on: January 6, 2011

91.8K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

科学领域:

  • 理论物理学的理论物理.
  • 动态系统理论 动态系统理论
  • 时间哲学 时间哲学

背景情况:

  • 时间不对称的出现 (时间的箭头) 是物理学中的一个基本问题.
  • 现有的模型经常将时间的箭头与热力学联系起来.
  • 因果关系对于理解时间方向性至关重要.

研究的目的:

  • 用一种新的理论模型研究新出现的时间不对称性.
  • 建立时间的因果箭作为基本的.
  • 从因果箭头获得其他时间箭头.

主要方法:

  • 介绍因果多面包机图,一种可逆离散时间动态系统的类.
  • 强加一个初始条件 (过去假设) 和粗粒度.
  • 分析新出现的因果结构和记录系统.

主要成果:

  • 因果多面包机地图模型产生了Pearlean局部因果结构.
  • 时间的因果箭头被证明是基本的,与热力学箭头不同.
  • 时间的热力学和认识学箭头来自因果箭头.
  • 记录,定义为编码过去状态的系统,被证明存在于过去,但不是未来.

结论:

  • 时间的因果箭头为理解时间不对称提供了基本的基础.
  • 该模型成功地导出了其他时间箭头,包括热力学和认识学.
  • 记录的概念突出了关于过去与未来事件的信息存储中的不对称性.