Jove
Visualize
お問い合わせ

関連する概念動画

Structuralism01:26

Structuralism

3.1K
Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He...
3.1K
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.7K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.7K
Introduction to Structures01:30

Introduction to Structures

1.6K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
1.6K
Structural Isomerism02:34

Structural Isomerism

21.4K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
21.4K
Structural Properties and Dimensions of Lumber01:21

Structural Properties and Dimensions of Lumber

359
Wood's structural properties derive from fibers aligned along the tree's length, contributing significantly to its mechanical strength. Wood exhibits up to twenty times greater tensile strength along these fibers compared to across them, and generally shows better performance under compression than tension. The length of fibers varies, with hardwoods having fibers around one twenty-fifth inch long and softwoods ranging from one-eighth to one-third inch.
The strength characteristics of...
359
Structures of Carboxylic Acid Derivatives01:28

Structures of Carboxylic Acid Derivatives

3.7K
Structure of Carboxylic Acid Derivatives
Carboxylic acid derivatives contain an acyl group attached to a heteroatom such as chlorine, oxygen, or nitrogen. The carbonyl carbon and oxygen are both sp2-hybridized with an unhybridized p orbital.
The three sp2 orbitals of the carbonyl carbon form three σ bonds, one each with the carbonyl oxygen, the α carbon, and the heteroatom, whereas the other two sp2 orbitals of the carbonyl oxygen are occupied by the lone pairs. Further, the unhybridized p...
3.7K

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

A framework for efficient scientific diagram captioning using mixture-of-experts and low-rank adaptation.

Scientific reports·2026
Same author

Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection.

Scientific data·2025
Same author

A decentralized privacy-preserving XR system for 3D medical data visualization using hybrid biometric cryptosystem.

Scientific reports·2025
Same author

Assessment of superior vena cava diameter and collapsibility index in liver transplantation: a prospective observational study.

Brazilian journal of anesthesiology (Elsevier)·2024
Same author

Intraoperative hypotension during liver transplantation and postoperative outcomes: Retrospective cohort study.

Journal of clinical anesthesia·2024
Same author

Neurodevelopmental Treatment in Children With Cerebral Palsy: A Review of the Literature.

Cureus·2024
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
関連記事をすべて見る
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

関連する実験動画

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K

構造化文書を理解するための表現学習アプローチ

Akkshita Trivedi1, Sandeep Khanna2, Santanu Chaudhury3

  • 1Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, India. trivedi.2@iitj.ac.in.

Scientific reports
|December 26, 2025
PubMed
まとめ
この要約は機械生成です。

文書関係エンティティ埋め込み学習者(D-REEL)は、テキスト、図、テーブル間のセマンティック関係をモデル化することにより、文書理解を向上させます。この新しいフレームワークは、複雑なレイアウト全体で相関精度と抽出パフォーマンスを向上させます。

キーワード:
文書レイアウト情報抽出表現学習セマンティック相関

さらに関連する動画

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.2K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.6K

関連する実験動画

Last Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.2K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.6K

科学分野:

  • コンピュータサイエンス
  • 人工知能
  • 情報検索

背景:

  • 現在の文書理解方法は、複雑なレイアウトと要素間の論理的接続に苦労しています。
  • 既存のアプローチは、多様な文書構造全体で深いセマンティック関係を捉えることができません。

研究 の 目的:

  • 複雑なセマンティック関係を文書内でモデル化するための新しい表現学習フレームワーク、文書関係エンティティ埋め込み学習者(D-REEL)を導入します。
  • 空間配置に関係なく、文書フィールド間のセマンティック相関を正確に評価することにより、文書理解を強化します。

主な方法:

  • D-REELは、抽出候補を生成し、各抽出候補の密なベクトル表現(埋め込み)を学習します。
  • 埋め込みを比較してセマンティック相関を評価し、記事の関係を決定します。
  • 正確な抽出と相関スコアリングのために、空間情報とドメイン固有のスキーマを組み合わせます。
  • 位置に依存しないローカライゼーションを使用したセマンティック構造の一致(SSC)メトリックを提案します。

主要な成果:

  • 公開データセットで相関精度と抽出パフォーマンスの大幅な改善を示しました。
  • 相関精度の平均mAPインクリメントを2〜3%達成しました。
  • PRIMAデータセットでほぼ10%のSSC改善を達成し、効果的な関係測定を示しました。

結論:

  • D-REELは、複雑な文書レイアウトとセマンティック関係を理解するための堅牢なソリューションを提供します。
  • このフレームワークは、不規則な文書構造であっても、正確な抽出と信頼性の高い相関スコアリングを可能にします。
  • 提案されたSSCメトリックは、文書内のセマンティック構造の一致を効果的に定量化します。