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

Molecular Models02:00

Molecular Models

40.4K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
40.4K
Elements of Block Diagrams01:25

Elements of Block Diagrams

375
Block diagrams serve as a visual representation of the input-output relationships within a system. An illustrative example is a heating system, where the set temperature activates the furnace to warm the room to the desired level. Block diagrams are versatile, modeling linear systems through Laplace transform variables and nonlinear systems using time domain variables.
A block diagram typically includes essential elements such as comparators, blocks, and feedback loops. Each of these elements...
375
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

4.1K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
4.1K
Block Diagram Reduction01:22

Block Diagram Reduction

284
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
284
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

152.2K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
152.2K
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

892
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
892

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Long-term Follow-up of a Pediatric Regimen for AYA with Ph-negative ALL: 10-year Survival of CALGB 10403 (Alliance).

Blood advances·2026
Same author

Survival after intensive therapy or clofarabine in fit older adults with acute myeloid leukemia: E2906 phase 3 trial.

Blood neoplasia·2026
Same author

CRLF2 rearrangement and extramedullary disease in B-cell acute lymphoblastic leukemia: a possible link?

Blood advances·2026
Same author

Dynamic feedback control of oncogenic tyrosine kinase signaling in acute leukemia.

Science signaling·2026
Same author

CD4<sup>+</sup> T cells mediate CAR-T cell-associated immune-related adverse events after BCMA CAR-T cell therapy.

Nature medicine·2026
Same author

Derivation and external validation of a venous thromboembolism risk prediction model in asparaginase-treated ALL.

Blood advances·2025
Same journal

Emapalumab and eltrombopag rescue for prolonged immune effector cell-associated hemophagocytic syndrome after CAR T-cell therapy in multiple myeloma.

Haematologica·2026
Same journal

Incidence and predictors of recurrent venous thromboembolism after isolated distal deep vein thrombosis: a <i>post-hoc</i> analysis of the RIDTS trial.

Haematologica·2026
Same journal

Philadelphia positive T-acute lymphoblastic leukemia: a Mayo Clinic series.

Haematologica·2026
Same journal

Long-term follow-up of oral decitabine/cedazuridine plus venetoclax for older or unfit patients with newly diagnosed acute myeloid leukemia.

Haematologica·2026
Same journal

Reframing leukemia-niche interactions: the emerging role of the marrow adipocyte lineage.

Haematologica·2026
Same journal

A novel dose-dense strategy for CD19-directed CAR T-cell therapy is associated with durable responses without increased toxicity in patients with B-cell non-Hodgkin lymphoma.

Haematologica·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Sep 9, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K

Un CHIP del antiguo bloque (MDS)

Selina M Luger1, Bryan T Ciccarelli2

  • 1Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Philadelphia, PA. selina.luger@pennmedicine.upenn.edu.

Haematologica
|September 1, 2025
PubMed
Resumen

No abstract available in PubMed .

Más Videos Relacionados

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.0K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.8K

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.6K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.0K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.8K