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Diffusion01:21

Diffusion

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Diffusion01:12

Diffusion

215.6K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
215.6K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.5K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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Facilitated Diffusion01:16

Facilitated Diffusion

1.1K
The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
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Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.2K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
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Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.1K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
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Updated: Jan 7, 2026

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
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対話における拡散モデルを用いたインタラクションジェスチャーの生成

Yuya Okadome1,2, Yazan Alkatshah2, Yutaka Nakamura2,3

  • 1Faculty of Engineering, Tokyo University of Science, Katsushika, Tokyo, Japan.

PloS one
|December 30, 2025
PubMed
まとめ
この要約は機械生成です。

この研究では、人間とコンピュータの相互作用における自然な会話行動を生成するためのインタラクション拡散モデル（IDM）を紹介します。このモデルは、アバターやロボットの人間のような動きを作成し、対話の流暢さを向上させます。

キーワード:
対話ジェスチャー生成拡散モデル人間とコンピュータの相互作用アバターロボット会話コンピュータグラフィックス人工知能

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Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
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Corticospinal Excitability Modulation During Action Observation
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科学分野:

  • 人工知能
  • コンピュータグラフィックス
  • ヒューマンコンピュータインタラクション

背景:

  • CGアバターや会話ロボットに対する期待の高まりは、対話スキルの向上を必要としています。
  • 現在のモーション生成モデルは、会話パートナー間の重要なインタラクション要因をしばしば無視しています。
  • うなずきのような自然な会話モーションは、他者の行動や声を考慮する必要があります。

研究 の 目的:

  • 自律会話システムのための自動インタラクションモーション生成システムを開発すること。
  • マルチモーダル対話スキルを通じて、流暢な人間とコンピュータの相互作用を強化すること。
  • 二者間対話のダイナミクスを考慮した、自然で人間のようなインタラクション行動を生成すること。

主な方法:

  • 拡散アプローチとマスキング機能を利用したインタラクション拡散モデル（IDM）を実装しました。
  • IDMは、二者間対話の2人の参加者を考慮し、条件付き入力生成のためにマスクを使用します。
  • モデルは、欠落した特徴を収容し、再トレーニングなしで予測を可能にします。

主要な成果:

  • IDMは、二者間対話のためのインタラクション行動を効果的に生成します。
  • 実験結果は、モデルが会話中に人間のような行動を生成することを示しています。
  • 人間のような行動の生成は、30ミリ秒以内に達成されます。

結論:

  • 開発されたインタラクション拡散モデル（IDM）は、自然な会話モーションの生成に効果的です。
  • このアプローチは、CGアバターやロボットとのインタラクションの流暢さと人間らしさを大幅に向上させます。
  • IDMは、自律会話システムを進歩させるための有望なソリューションを提供します。