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

Classification of Systems-I01:26

Classification of Systems-I

296
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
296
Structural Classification of Joints01:20

Structural Classification of Joints

4.1K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
4.1K
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.9K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

265
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
265
Classification of Systems-II01:31

Classification of Systems-II

240
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
240
Structure of Benzene: Molecular Orbital Model01:18

Structure of Benzene: Molecular Orbital Model

9.9K
According to the molecular orbital (MO) model, benzene has a planar structure with a regular hexagon of six sp2 hybridized carbons. As shown in Figure 1, each carbon is bonded to three other atoms with C–C–C and H–C–C bond angles of 120°. The C–H bond length is 109 pm, and the C–C bond length is 139 pm which is midway between the single bond length of sp3 hybridized carbons (154 pm) and sp2 hybridized carbons (133 pm).
9.9K

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

Targeting sFRP1 with WAY-316606 Suppresses Proliferation, Migration, and Invasion in Metastatic Melanoma.

Cancers·2026
Same author

Metallodielectric photonic glass paints enable hyperchromatic, angle-independent structural color across the full visible spectrum.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Abortion care in post-decriminalization South Korea: the role of healthcare providers in advancing reproductive health rights.

Women's health nursing (Seoul, Korea)·2025
Same author

Correction: ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet.

BMC medical imaging·2025
Same author

Tumor microenvironment-preserving gliosarcoma organoids as an in vitro preclinical platform: a comparative analysis with glioblastoma models.

Journal of translational medicine·2025
Same author

ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet.

BMC medical imaging·2025
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 10, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.1K

テクノロジー分析のためのSAO構造に基づく自動ラベル付きトピックモデリングの開発

Minyoung Park1, Sunhye Kim2, Byungun Yoon3

  • 1Master student, Department of Industrial & Systems Engineering, School of Engineering, Dongguk University, Seoul, Korea.

PloS one
|August 26, 2025
PubMed
まとめ
この要約は機械生成です。

この研究は,特許におけるトピックモデリングのための新しい主体-アクション-オブジェクト (SAO) アプローチを導入し,技術トレンド分析を改善します. この方法は自動ラベリングの精度を高め,技術管理のためのより深い意味の洞察を提供します.

さらに関連する動画

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K

関連する実験動画

Last Updated: Sep 10, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.1K
Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.5K

科学分野:

  • 情報科学
  • テクノロジーの管理
  • コンピュータ言語学

背景:

  • トピックモデリングは,テクノロジーのトレンドを特定し,進歩を予測するために不可欠です.
  • 特許文書の既存の自動ラベリング方法は,定量的な評価と技術的階層の捉え方に制限があります.
  • 伝統的アプローチでは 技術の機能的意義が 見過ごされることが多いのです

研究 の 目的:

  • 特許文書におけるトピックモデリングのための主体-アクション-オブジェクト (SAO) ベースのアプローチを導入する.
  • "SAOのバッグ"のコンセプトを利用して,既存の自動ラベリングの方法論の限界を克服する.
  • 技術の動向分析の正確性と解釈性を向上させる.

主な方法:

  • SAOベースのトピックモデリングとスコア付けを組み合わせた自動ラベリング方法論を開発しました.
  • 総合的な評価のための統合されたテキストの要約とネットワーク分析.
  • 協同特許分類 (CPC) のサブクラスに基づく階層構造を統合し,解釈が向上しました.

主要な成果:

  • 提案されたモデルは,ROUGE,関連性,カバー,および差別スコアを使用して評価された,技術的な文脈内の機能的な意味を捕捉する効率性を実証しました.
  • SAOベースのアプローチは,トピックラベルの正確性を向上させ,より深い意味論の洞察を提供しました.
  • 階層的な構造は,技術的発展とトレンドの見方を高めました.

結論:

  • SAOベースの自動ラベリング方法論は,特許文書のトピックモデリングにより正確で解釈可能なアプローチを提供します.
  • このアプローチは,より効率的な技術管理,イノベーション,政策立案に貢献します.
  • この研究は,技術の予測と診断における洗練された方法論の基礎を築いています.