Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

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
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

920
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
920
Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

492
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
492
Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

7.1K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
7.1K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.5K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Isolation and Characterization of a Highly Virulent Getah Virus Causing Acute Lethal Infection in Neonatal Piglets.

Transboundary and emerging diseases·2026
Same author

Disease characteristics, treatment, and outcomes in Chinese chronic lymphocytic leukemia patients following BTK inhibitor discontinuation: a multicenter real-world study.

Frontiers in medicine·2026
Same author

Beef Cattle Behavior Recognition Based on Nighttime Farm Videos via Spatio-Temporal Enhancement and Dynamic Fusion.

Animals : an open access journal from MDPI·2026
Same author

Effects of High-Altitude Environments on Gut Microbiota and Their Mechanisms in Immune Regulation and High-Altitude Adaptation.

International journal of molecular sciences·2026
Same author

Advances in immune-inflammatory interactions within the testicular-penile microenvironment of varicocele patients: molecular mechanisms underlying erectile dysfunction and spermatogenic impairment.

Frontiers in endocrinology·2026
Same author

A Unified Framework for Pseudo-Supervised Clustering via Weighted Sample Aggregation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Correction to "Nanoparticles (NPs)-Meditated LncRNA AFAP1-AS1 Silencing to Block Wnt/β-Catenin Signaling Pathway for Synergistic Reversal of Radioresistance and Effective Cancer Radiotherapy".

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Femtosecond-Laser Nanocavitation Regenerates SERS-Active Plasmonic Nanogaps for Longitudinal Molecular Sensing at Biointerfaces.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Correction to "Bioinspired Polyacrylic Acid-Based Dressing: Wet Adhesive, Self-Healing, and Multi-Biofunctional Coacervate Hydrogel Accelerates Wound Healing".

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Non-Line-of-Sight Passive Ammonia Sensor Loaded With MXene/In<sub>2</sub>O<sub>3</sub> Composites for Agricultural Products Quality Deterioration Detection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Cerium Nanoparticle-Mediated Inhibition of the NSUN2/m<sup>5</sup>C Axis Suppresses Synovial Aggression in Rheumatoid Arthritis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Biomimetic Nanoplatform for Dual Target Nano-Metabolic Therapy in Diabetes-Associated Biofilm Infections.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Ver todos los artículos relacionados
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

Video Experimental Relacionado

Updated: Jan 21, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

669

S3RL: Mejora de la transcriptómica espacial unicelular con aprendizaje de representación separable

Laiyi Fu1,2,3, Penglei Wang4, Gaoyuan Xu1

  • 1School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 20, 2026
PubMed
Resumen
Este resumen es generado por máquina.

S3RL mejora los datos de transcriptómica espacial al reducir el ruido y mejorar la señal, lo que permite una mejor comprensión de la organización tisular y las interacciones celulares. Este método recupera patrones de expresión génica perdidos, fundamentales para la investigación de enfermedades.

Palabras clave:
comunicación célula-célularedes neuronales de grafosaprendizaje de prototipos hiperesféricosARN unicelulartranscriptómica espacial

Más Videos Relacionados

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

913
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

4.4K

Videos de Experimentos Relacionados

Last Updated: Jan 21, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

669
Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

913
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

4.4K

Área de la Ciencia:

  • Genómica
  • Biología Computacional
  • Bioinformática

Sus antecedentes:

  • La transcriptómica espacial ofrece mapeo de la expresión génica in situ para el análisis de tejidos.
  • La escasez de datos y el ruido técnico limitan la utilidad actual de la transcriptómica espacial para microambientes complejos.

Objetivo del estudio:

  • Introducir S3RL, un marco de aprendizaje de representación separable.
  • Mejorar la fidelidad de los datos de transcriptómica espacial crudos para obtener información biológica mejorada.

Principales métodos:

  • Desarrolló S3RL, un novedoso marco de aprendizaje de representación separable.
  • Aplicó S3RL para eliminar el ruido de mediciones dispersas y amplificar señales biológicas en datos de transcriptómica espacial.
  • Validó S3RL en tejidos humanos, de ratón y de plantas.

Principales resultados:

  • S3RL mejoró significativamente la identificación de dominios espaciales y la alineación de múltiples cortes (hasta un 170 % de mejora en el índice de información mutua).
  • Recuperó patrones de expresión espacial y relaciones regulatorias de grano fino.
  • Descubrió nuevas señales de ligandos-receptores y gradientes espaciales de expresión génica.

Conclusiones:

  • S3RL es una herramienta poderosa para extraer programas biológicos de conjuntos de datos de transcriptómica espacial ruidosos.
  • Permite una exploración más profunda de la biología tisular, las interacciones célula-célula y los mecanismos de las enfermedades.
  • Facilita la comprensión de la comunicación inmunoterapia-tumor y las trayectorias de desarrollo de las plantas.