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関連する概念動画

Language01:16

Language

891
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
891
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

753
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
753
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

562
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
562
Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)01:27

Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)

4.2K
α,β-Unsaturated carbonyl compounds with two electrophilic sites, the carbonyl carbon, and the β carbon, are susceptible to nucleophilic attack via two modes: conjugate or 1,4-addition and direct or 1,2-addition.
Conjugate addition results in a thermodynamically stable product. The reaction retains the stronger C=O bond at the expense of the weaker C=C π bond. The process is slow as the β carbon is less electrophilic than the carbonyl carbon.
Direct addition products are...
4.2K
Pharmaceutical Equivalents01:26

Pharmaceutical Equivalents

183
As defined by regulatory standards, pharmaceutical equivalents require generic drug products to have identical dosage forms and chemically identical active pharmaceutical ingredients (APIs). They must adhere to compendial or applicable standards for potency, content uniformity, disintegration times, and dissolution rates. In the case of modified-release dosage forms, variations in drug content are permissible as long as the delivered amount remains consistent with the innovator drug product.
183
Components of Language01:24

Components of Language

763
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
763

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Updated: Jan 21, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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大規模言語モデルを用いた機械学習用データセット生成の加速:医薬品添加製造の事例

Paola Carou-Senra1, Lucía Rodríguez-Pombo1, Carmen Alvarez-Lorenzo1

  • 1Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela 15782 Santiago de Compostela, Spain.

International journal of pharmaceutics
|January 19, 2026
PubMed
まとめ
この要約は機械生成です。

新しいGPT-4フレームワークは、文献からの医薬品データ抽出を自動化し、高品質なデータセットを作成します。この深いプロンプトエンジニアリングは、手作業を大幅に削減し、専門分野における機械学習モデルの開発を加速します。

背景:

  • 高品質なデータセットは、医薬品研究のような専門分野における機械学習(ML)にとって非常に重要です。
  • 科学文献からの手動データ抽出は時間がかかり、労働集約的です。
  • 既存の方法は、創薬における異種データソースの扱いに苦労しています。

結論:

  • 新しいプロンプトエンジニアリングアプローチにより、GPT-4は信頼性の高い高品質な文献由来のデータセットを生成できます。
キーワード:
積層造形GPT-4大規模データセット作成大規模言語モデル機械学習自然言語処理

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  • この方法は、MLモデルトレーニングのための専門家レベルの精度を維持しながら、手作業を大幅に削減します。
  • この戦略は、製薬およびその他のデータ集約型ドメインにおける機械学習のスケーラビリティを促進します。