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Reproductive Cloning01:27

Reproductive Cloning

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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...
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Network Covalent Solids02:18

Network Covalent Solids

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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...
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Control Volume and System Representations01:16

Control Volume and System Representations

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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...
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State Space Representation01:27

State Space Representation

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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...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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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...
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Disassembly of Intermediate Filaments01:35

Disassembly of Intermediate Filaments

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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...
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Video Experimental Relacionado

Updated: Jan 22, 2026

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
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Detección semántica de clones de código mediante representaciones intermedias híbridas y redes BiLSTM

M Shahbaz Ismail1, Sara Shahzad1, Fahmi H Quradaa2

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

PloS one
|January 20, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un marco novedoso para la detección semántica de clones de código utilizando representaciones híbridas y redes bidireccionales profundas de LSTM. El enfoque logra una alta precisión, superando a otros modelos y demostrando aplicabilidad práctica en el mantenimiento de software.

Palabras clave:
clones de código semánticodetección de clones de códigorepresentaciones híbridasredes BiLSTMmantenimiento de softwareingeniería de software

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Área de la Ciencia:

  • Ciencias de la Computación
  • Ingeniería de Software

Sus antecedentes:

  • La detección semántica de clones de código es crucial para el mantenimiento y la garantía de calidad del software.
  • Los métodos existentes tienen dificultades con el código ofuscado, incluido el polimorfismo y el metamorfismo.

Objetivo del estudio:

  • Proponer un marco robusto para la detección semántica de clones de código.
  • Abordar los desafíos planteados por las técnicas de ofuscación de código.

Principales métodos:

  • Utilización del aprendizaje de representación híbrida con redes bidireccionales profundas de memoria a largo plazo (BiLSTM).
  • Aplicación del modelo a representaciones intermedias de Baf y Jimple extraídas a través del marco Soot.
  • Incorporación de mecanismos de atención y representaciones intermedias múltiples.

Principales resultados:

  • Logró una alta precisión de entrenamiento (98%) y validación (95%) con buena generalización.
  • Los modelos BiLSTM superaron consistentemente a otros modelos recurrentes.
  • Demostró un rendimiento de última generación en el conjunto de datos BigCloneBench, con una recuperación y puntuaciones F1 de hasta el 97%.

Conclusiones:

  • Las representaciones intermedias híbridas son efectivas para la detección de clones semánticos.
  • El marco BiLSTM propuesto ofrece una solución práctica para identificar clones de código, incluso bajo ofuscación.
  • La investigación futura podría explorar modelos basados en transformadores para un rendimiento mejorado.