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Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

386
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
386
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.6K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.6K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

477
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
477
Protein and Protein Structure02:15

Protein and Protein Structure

87.0K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
87.0K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

11.6K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
11.6K
Additional Subnuclear Structures02:10

Additional Subnuclear Structures

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The eukaryotic nucleus is a double membrane-bound organelle that contains nearly all of the cell’s genetic material in the form of chromosomes. It is rightly called the “brain” of the cell as it shoulders the responsibility of responding to various physiological processes, stress, altered metabolic conditions, and other cellular signals. 
The nucleus contains many membrane-less subnuclear organelles or nuclear bodies, such as nucleoli, Cajal bodies, speckles,...
5.3K

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Updated: Jan 23, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

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ライブコメディにおけるタイミング構造:パフォーマンスダイナミクスをマッピングするためのマッチングシーケンスアプローチ

Vanessa C Pope1, Rebecca Stewart2, Elaine Chew1

  • 1Department of Engineering and School of Biomedical Engineering & Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.

PNAS nexus
|January 22, 2026
PubMed
まとめ
この要約は機械生成です。

本研究では、ライブパフォーマンスのタイミングを分析するための計算手法であるTAMS(Topology Analysis of Matching Sequences)を紹介します。TAMSは、繰り返し素材の構造的パターンとパフォーマーのスキルを明らかにし、観客とパフォーマーのダイナミクスへの理解を深めます。

キーワード:
コメディカルチュラルアナリティクスインフォマティクスライブパフォーマンススピーチ

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関連する実験動画

Last Updated: Jan 23, 2026

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科学分野:

  • 計算社会科学
  • パフォーマンス研究
  • デジタルヒューマニティーズ

背景:

  • ライブパフォーマンスは、体系的な科学的分析が欠如している広範な人間の活動です。
  • ライブパフォーマンスの構造とタイミングを理解することは、パフォーマーのスキルと観客の関与に関する洞察を明らかにすることができます。

研究 の 目的:

  • ライブパフォーマンスにおけるタイミング構造を分析するための新しい計算方法論の導入。
  • 繰り返しシーケンスとそのパフォーマンス全体にわたるタイミングの定量化と視覚化。
  • このフレームワークをスタンドアップコメディやその他のパフォーマンスタイプに適用することの探求。

主な方法:

  • TAMS(Topology Analysis of Matching Sequences)フレームワークの開発。
  • パフォーマンスデータにおける繰り返しシーケンスの自動検出とタイミングマッピング。
  • TAMSを2つのスタンドアップコメディツアーの分析に適用すること。

主要な成果:

  • スタンドアップコメディにおけるマクロおよびミクロレベルの構造的特徴の特定。
  • ショーの冒頭で一貫して配置された新しい素材の発見。
  • スピーチのマイクロタイミングと笑いを通じた観客とパフォーマーのダイナミクスとの関連における、タイトにタイミングされた繰り返し素材セクションの分析。

結論:

  • TAMSは、ライブパフォーマンスを体系的に研究するための新しい計算アプローチを提供します。
  • この方法論は、繰り返しコンテンツにおける根本的な構造エンジニアリングとパフォーマーのスキルを明らかにします。
  • TAMSは、政治演説やダンスを含む、さまざまな種類の繰り返しスピーチやパフォーマンスの分析に応用できる可能性があります。