Jove
Visualize
お問い合わせ

関連する概念動画

Reproductive Cloning01:27

Reproductive Cloning

32.6K
Reproductive cloning is the process of producing a genetically identical copy—a clone—of an entire organism. While clones can be produced by splitting an early embryo—similar to what happens naturally with identical twins—cloning of adult animals is usually done by a process called somatic cell nuclear transfer (SCNT).
Somatic Cell Nuclear Transfer
In SCNT, an egg cell is taken from an animal and its nucleus is removed, creating an enucleated egg. Then a somatic...
32.6K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Control Volume and System Representations01:16

Control Volume and System Representations

1.5K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.5K
State Space Representation01:27

State Space Representation

536
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
536
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.8K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.8K
Disassembly of Intermediate Filaments01:35

Disassembly of Intermediate Filaments

2.6K
Intermediate filaments (IFs) do not undergo spontaneous disassembly. Enzymes, kinases, and phosphatases add and remove phosphates from specific sites to regulate their disassembly. The IF concentration in the cytoplasm also regulates the disassembly. If the concentration crosses a threshold, it activates the protein kinases in the vicinity, allowing the phosphorylation of IFs.
Keratin proteins, found at the cell periphery near cell junctions, undergo a cycle of assembly and disassembly. In Type...
2.6K

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

An enhanced spatial-temporal graph convolution network with high order features for skeleton-based action recognition.

PloS one·2025
Same author

A novel code representation for detecting Java code clones using high-level and abstract compiled code representations.

PloS one·2024
Same author

A systematic literature review on the applications of recurrent neural networks in code clone research.

PloS one·2024
Same author

A novel rules based approach for estimating software birthmark.

TheScientificWorldJournal·2015
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 22, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.1K

ハイブリッド中間表現とBiLSTMネットワークを用いた意味的コードクローン検出

M Shahbaz Ismail1, Sara Shahzad1, Fahmi H Quradaa2

  • 1Department of Computer Science, University of Peshawar, Peshawar, Pakistan.

PloS one
|January 20, 2026
PubMed
まとめ
この要約は機械生成です。

本研究では、ハイブリッド表現とディープ双方向LSTMネットワークを用いた意味的コードクローン検出のための新しいフレームワークを紹介します。このアプローチは、他のモデルを上回る高精度を達成し、ソフトウェア保守における実用性を示しています。

キーワード:
意味的コードクローン検出ハイブリッド中間表現BiLSTMネットワークソフトウェア保守コード難読化

さらに関連する動画

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K
Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding
09:31

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Published on: September 20, 2024

1.2K

関連する実験動画

Last Updated: Jan 22, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
08:17

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder

Published on: April 12, 2018

11.1K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K
Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding
09:31

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Published on: September 20, 2024

1.2K

科学分野:

  • コンピュータサイエンス
  • ソフトウェア工学

背景:

  • 意味的コードクローン検出は、ソフトウェア保守と品質保証にとって非常に重要です。
  • 既存の方法は、多型やメタ型などの難読化されたコードに苦労しています。

研究 の 目的:

  • 意味的コードクローン検出のための堅牢なフレームワークを提案すること。
  • 多型やメタ型などのコード難読化技術によってもたらされる課題に対処すること。

主な方法:

  • ディープ双方向Long Short-Term Memory(BiLSTM)ネットワークを用いたハイブリッド表現学習を活用すること。
  • Sootフレームワークを介して抽出されたBafおよびJimple中間表現にモデルを適用すること。
  • 注意メカニズムと複数の中間表現を組み込むこと。

主要な成果:

  • 良好な汎化性能を伴う高いトレーニング(98%)および検証(95%)精度を達成しました。
  • BiLSTMモデルは、他のリカレントモデルよりも一貫して優れた性能を発揮しました。
  • リコールとF1スコアが最大97%に達し、BigCloneBenchデータセットで最先端のパフォーマンスを実証しました。

結論:

  • ハイブリッド中間表現は、意味的コードクローン検出に効果的です。
  • 提案されたBiLSTMフレームワークは、難読化下でもコードクローンを識別するための実用的なソリューションを提供します。
  • 将来の研究では、パフォーマンス向上のためにトランスフォーマーベースのモデルを検討することができます。