Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Structure and Physical Properties of Alkynes02:37

Structure and Physical Properties of Alkynes

13.3K
Introduction:
In nature, compounds containing both carbon and hydrogen are known as "hydrocarbons". Aliphatic hydrocarbons are compounds whose molecules contain saturated single bonds (i.e., alkanes) or unsaturated double or triple bonds. Alkenes contain carbon–carbon double bonds and have a structural formula CnH2n. Unsaturated hydrocarbons containing carbon–carbon triple bonds are called "alkynes" and are structurally represented by the formula CnH2n-2.
The...
13.3K
Phase Transitions02:31

Phase Transitions

23.2K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
23.2K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

21.3K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
21.3K
Properties of Transition Metals02:58

Properties of Transition Metals

29.8K
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
29.8K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.7K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.7K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Network-driven discovery of repurposable drugs targeting hallmarks of aging.

Nature aging·2026
Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026
Same author

Hungary's chance to rebuild science.

Science (New York, N.Y.)·2026
Same author

Human mobility in the metaverse mirrors patterns in the physical world.

Scientific reports·2026
Same author

Surface optimization governs the local design of physical networks.

Nature·2026
Same author

Divergent accumulation patterns of SNVs and INDELs reveal negative selection in noncancerous cells.

Innovation (Cambridge (Mass.))·2025
Same journal

Incoming US science academy chief vows to 'double down' on research.

Nature·2026
Same journal

Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization.

Nature·2026
Same journal

Electrodeposited self-assembled molecules for perovskite photovoltaics.

Nature·2026
Same journal

Neutrino's nursery found: the 'Shadow Blaster'.

Nature·2026
Same journal

Dementia risk in middle-aged people linked to a blood protein.

Nature·2026
Same journal

Daily briefing: What's really happening with trust in science.

Nature·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Feb 2, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K

Una transición estructural en las redes físicas

Nima Dehmamy1, Soodabeh Milanlouei1, Albert-László Barabási2,3,4

  • 1Network Science Institute, Center for Complex Network Research, Department of Physics, Northeastern University, Boston, MA, USA.

Nature
|November 30, 2018
PubMed
Resumen
Este resumen es generado por máquina.

La geometría de la red física se explora con un nuevo modelo que tiene en cuenta los tamaños de los nodos y enlaces. Esto revela comportamientos distintos de tipo sólido y de tipo gel basados en el grosor del enlace, que impactan en la función y estructura de la red.

Más Videos Relacionados

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

3.1K
Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
06:26

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets

Published on: May 15, 2017

7.6K

Videos de Experimentos Relacionados

Last Updated: Feb 2, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.8K
Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

3.1K
Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
06:26

Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets

Published on: May 15, 2017

7.6K

Área de la Ciencia:

  • Sistemas complejos
  • Ciencia de las redes
  • Física computacional

Sus antecedentes:

  • Las redes físicas como las neuronas y los circuitos tienen nodos y enlaces que no pueden superponerse.
  • La teoría de la red actual y los algoritmos de diseño a menudo ignoran estas restricciones físicas, asumiendo componentes sin dimensiones.
  • Esta limitación impide una caracterización precisa de las redes físicas densamente empacadas.

Objetivo del estudio:

  • Desarrollar un marco de modelado que incorpore las dimensiones físicas de los nodos y enlaces en las redes.
  • Investigar cómo las restricciones no cruzadas influyen en la geometría, la formación y la función de la red.
  • Analizar la transición entre diferentes regímenes de interacción basados en el grosor del enlace.

Principales métodos:

  • Desarrollo de un nuevo marco de modelado que tenga en cuenta los tamaños de los nodos y enlaces físicos.
  • Análisis del comportamiento de la red bajo diferentes espesores de enlace, distinguiendo entre regímenes de interacción débil y fuerte.
  • Derivación analítica del punto de transición entre regímenes de interacción impulsados por condiciones de no cruce.

Principales resultados:

  • Se observó un cruce de un régimen de interacción débil (reorganizaciones locales) a un régimen de interacción fuerte (escalado geométrico) a medida que aumentaba el grosor del enlace.
  • La condición de no cruce fue identificada como el conductor de esta transición.
  • Las redes exhiben un comportamiento similar al sólido en el régimen de interacción débil y un comportamiento similar al gel en el régimen de interacción fuerte.

Conclusiones:

  • El marco desarrollado modela con precisión las redes físicas densamente empaquetadas, revelando propiedades geométricas y mecánicas distintas basadas en el grosor del enlace.
  • Los hallazgos proporcionan información sobre el escalamiento de sistemas complejos como los cerebros de mamíferos y ofrecen potencial para la visualización en 3D de las estructuras de red.
  • El estudio destaca el papel crítico de las restricciones no cruzadas en la determinación de la geometría de la red y los comportamientos emergentes.