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

1.1K
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:
1.1K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

1.0K
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:
1.0K
The Evidence for Evolution02:55

The Evidence for Evolution

47.5K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
47.5K
Limits to Natural Selection01:38

Limits to Natural Selection

34.0K
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
34.0K
Causality in Epidemiology01:21

Causality in Epidemiology

1.5K
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...
1.5K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

75.9K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
75.9K

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

Teleonomical intelligence across scales: A categorical and partial differential equation framework for biology and artificial systems.

Bio Systems·2026
Same author

Study of the electronic and rovibronic structure of the X ²Σ⁺, A ²Π, and B ²Σ⁺ states of AlO.

The Journal of chemical physics·2014
関連記事をすべて見る

関連する実験動画

Updated: Jan 13, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

ダーウィンから目的論へ:進化のためのカテゴリー的終因計算

Andrei T Patrascu1

  • 1FAST Foundation, Destin FL, 32541, USA.

Bio Systems
|January 7, 2026
PubMed
まとめ

進化における「最終原因」を数学的にモデル化する目的論的計算を導入し、ダーウィン的適応を一般化する。この枠組みは、外部からの圧力だけでなく、内部システムの不変量による選択として進化を再構築する。

科学分野:

  • 進化的生物学
  • 数理生物学
  • 圏論
  • 理論物理学

背景:

  • 古典的な進化論(ダーウィン・フィッシャー)は、外部からの圧力と適応度によって駆動される自然選択に焦点を当てています。
  • 既存のモデルは、内部システムの特性を組み込むための正式な数学的枠組みを欠いていることが多いです。

研究 の 目的:

  • 進化のための一般化された目的論的計算を開発すること。
  • 目的論的計算を数学的に形式化すること。

主な方法:

  • 圏論、特にファイブレーションとカン拡張を利用すること。
  • システム不変量を抽出するための内因性関手の定義。
  • これらの不変量からのコヒーレンス欠損測定値の開発。

主要な成果:

  • 内因性不変量に基づく進化的選択の一般化された枠組み。
  • ダーウィン的適応の特殊なケースとしての特定。
  • パレート目的論や形態形成目的論を含む、より豊かな選択メカニズムの階層。

結論:

キーワード:
行動アトラクター圏論進化論カン拡張極限と石炭酸多レベル選択ニッチ構築永続ホモロジー層理論目的論変分原理

さらに関連する動画

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.2K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.3K

関連する実験動画

Last Updated: Jan 13, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.2K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.3K
  • 進化は、内部システムの不変量によって駆動される選択として再構築できる。
  • 提案された計算は、多様な進化的現象に統一的な数学的構造を提供する。
  • この枠組みは、テスト可能な予測とデータ分析のためのアルゴリズム的アプローチを生み出す。