Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Diffusion01:12

Diffusion

Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
Diffusion01:21

Diffusion

Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

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.
Fluid Mosaic Model01:19

Fluid Mosaic Model

Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich with the analogy of...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cpeb4 regulates cardiomyocyte apoptosis in heart failure with association to Eif4a2 splicing modulation.

Scientific reports·2026
Same author

Estimation of cycloplegic spherical refraction from non-cycloplegic clinical and biometric data in children using machine learning: a retrospective pilot study for screening triage.

BMC ophthalmology·2026
Same author

The N‑Glycoproteomic Landscape of the Lung in Monocrotaline-Induced Pulmonary Arterial Hypertension.

ACS omega·2026
Same author

Natural small RNA-based defense informs engineering of host-induced gene silencing in plant disease resistance.

Current opinion in biotechnology·2026
Same author

ACE2 ameliorates DOX-induced cardiotoxicity by suppressing excessive autophagy via the AMPK/mTOR signaling pathway.

Biochemical pharmacology·2026
Same author

Analysis of the epidemiological features and factors associated with falls among the elderly in urban and rural areas of Chongqing, China: a cross-sectional study.

BMC public health·2026
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

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

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

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

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

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

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

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

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

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

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: May 31, 2026

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
10:43

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

SignMoD: Sign Language Video Generation via Mixture of Diffusion.

Fan Qi, Yu Duan, Huaiwen Zhang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    SignMoDP enhances sign language generation using a mixture of diffusions and State Space Models (SSM) for improved temporal coherence and data handling. This model offers a scalable, inclusive solution for the Deaf and Hard-of-Hearing communities.

    More Related Videos

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
    06:55

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

    Published on: September 26, 2016

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
    08:05

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

    Published on: September 9, 2022

    Related Experiment Videos

    Last Updated: May 31, 2026

    Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
    10:43

    Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

    Published on: July 19, 2022

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
    06:55

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

    Published on: September 26, 2016

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
    08:05

    Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

    Published on: September 9, 2022

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Natural Language Processing

    Background:

    • Sign language generation is crucial for digital communication inclusivity.
    • Challenges include temporal coherence and diverse data distributions with limited annotated data.

    Purpose of the Study:

    • To propose SignMoDP, a novel sign language video generation model.
    • To address challenges in temporal coherence and data distribution for universal sign language generation.

    Main Methods:

    • Integrated State Space Model (SSM) into video diffusion for temporal coherence.
    • Employed video-to-patch conversion and a multilingual text encoder for efficient sequence handling.
    • Introduced Mixture of Diffusion Paths and Patch Mixture of Experts (Patch MoE) for data distribution management.

    Main Results:

    • SignMoDP demonstrated state-of-the-art performance on multiple benchmarks (RWTH-2014, AUTSL, CSL-Daily, WLASL, LSFB).
    • Achieved improved temporal coherence and robust handling of diverse sign language data.

    Conclusions:

    • SignMoDP presents a universal, scalable, and inclusive solution for sign language generation.
    • The model effectively bridges communication gaps for the Deaf and Hard-of-Hearing.