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

Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

53.7K
Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
53.7K
Rab Cascades01:25

Rab Cascades

3.6K
Rab GTPases act in a regulated cascade during membrane fusion, helping the lipid bilayers mix. The Rab family of proteins are active when bound to GTP, and inactive when bound to GDP. Hence, they act as guanine nucleotide-dependent molecular switches. Rab-GTP recognizes and binds to long or short-range tethering proteins to capture the target vesicle. These tethers coordinate with SNAREs on the vesicle and the target membrane to assemble the trans SNARE complex that locks the mixing bilayers.
3.6K
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

18.6K
When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
18.6K
MAPK Signaling Cascades01:07

MAPK Signaling Cascades

8.5K
Mitogen-activated protein kinase, or MAPK pathway, activates three sequential kinases to regulate cellular responses such as proliferation, differentiation, survival, and apoptosis. The canonical MAPK pathway starts with a mitogen or growth factor binding to an RTK. The activated RTKs stimulate Ras, which recruits Raf or MAP3 Kinase (MAPKKK), the first kinase of the MAPK signaling cascade. Raf further phosphorylates and activates MEK or MAP2 Kinases (MAPKK), which in turn phosphorylates MAP...
8.5K
Cascaded Op Amps01:16

Cascaded Op Amps

1.1K
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
1.1K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

425
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
425

You might also read

Related Articles

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

Sort by
Same author

Efficient 3-D Finite Element Modeling of Periodic XBAR Resonators.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2023
Same author

Customizing the reduction of individual graphene oxide flakes for precise work function tuning with meV precision.

Nanoscale advances·2022
Same author

Optimizing Engagement in Behavioral Parent Training: Progress Toward a Technology-Enhanced Treatment Model.

Behavior therapy·2021
Same author

Helping the Noncompliant Child: An Updated Assessment of Program Costs and Cost-Effectiveness.

Children and youth services review·2020
Same author

Health and well-being of male international migrants and non-migrants in Bangladesh: A cross-sectional follow-up study.

PLoS medicine·2020
Same author

Ultra-Large-Coupling and Spurious-Free SH<sub>0</sub> Plate Acoustic Wave Resonators Based on Thin LiNbO<sub>3</sub>.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2019

Related Experiment Video

Updated: Feb 8, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Hierarchical Cascading Algorithm for 2-D FEM Simulation of Finite SAW Devices.

Julius Koskela, Victor Plessky, Balam Willemsen

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |July 12, 2018
    PubMed
    Summary

    A new 2-D algorithm drastically reduces computation time and memory usage for simulating surface acoustic wave (SAW) devices by leveraging their periodic structures. This method efficiently models unique building blocks, enabling faster and more accessible SAW device analysis.

    More Related Videos

    Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
    09:52

    Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

    Published on: January 15, 2017

    17.9K
    Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
    06:34

    Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

    Published on: January 6, 2023

    3.2K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    1.1K
    Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
    09:52

    Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

    Published on: January 15, 2017

    17.9K
    Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
    06:34

    Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

    Published on: January 6, 2023

    3.2K

    Area of Science:

    • Physics
    • Electrical Engineering
    • Materials Science

    Background:

    • Simulating surface acoustic wave (SAW) devices using the finite-element method (FEM) is computationally intensive due to high degrees of freedom, leading to significant memory and time requirements.
    • Existing methods struggle with the complexity and scale of periodic structures common in SAW devices.

    Purpose of the Study:

    • To develop a novel 2-D algorithm for efficient FEM simulation of SAW devices.
    • To significantly reduce memory consumption and computation time for periodic SAW device structures.

    Main Methods:

    • The proposed algorithm partitions SAW devices into smaller, repeating building blocks.
    • Only unique building blocks are simulated using FEM, with the full device geometry represented hierarchically.
    • The method's equivalence to full FEM simulation is established.

    Main Results:

    • Demonstrated drastic reduction in memory usage and simulation time for SAW devices with high periodicity.
    • Verified the algorithm's accuracy against established FEM/Boundary Element Method (BEM) software.
    • Highlighted the importance of substrate crystal anisotropy in selecting appropriate boundary conditions for accuracy.

    Conclusions:

    • The new 2-D algorithm offers a computationally efficient alternative for simulating periodic SAW devices.
    • This approach makes complex SAW device simulations more accessible and practical.
    • Optimizing boundary conditions based on substrate anisotropy is crucial for accurate and efficient simulations.