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

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)01:20

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)

1.6K
Two NMR-active nuclei bonded to a central atom can be involved in geminal or two-bond coupling. Geminal coupling is commonly seen between diastereotopic protons in chiral molecules and unsymmetrical alkenes, among others.
The central atom need not be NMR-active because its electrons are affected by the electron polarization of the spin-active atoms. However, spin information is transmitted less effectively than in one-bond coupling, and 2J values are usually weaker than 1J values. The energy of...
1.6K
Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)01:22

Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)

1.5K
Vicinal or three-bond coupling is commonly observed between protons attached to adjacent carbons. Here, nuclear spin information is primarily transferred via electron spin interactions between adjacent C‑H bond orbitals. This generally favors the antiparallel arrangement of spins, so 3J values are usually positive.
The extent of coupling depends on the C‑C bond length, the two H‑C‑C angles, any electron-withdrawing substituents, and the dihedral angle between the involved orbitals. The...
1.5K
G-protein Coupled Receptors01:21

G-protein Coupled Receptors

131.7K
G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
131.7K
Spin–Spin Coupling: One-Bond Coupling01:17

Spin–Spin Coupling: One-Bond Coupling

1.5K
Coupling interactions are strongest between NMR-active nuclei bonded to each other, where spin information can be transmitted directly through the pair of bonding electrons. While nuclei polarize their electrons to the opposite spins, the bonding electron pair has opposite spins. Configurations with antiparallel nuclear spins are expected to be lower in energy. When coupling makes antiparallel states more favorable, J is considered to have a positive value. The one-bond coupling constant, 1J,...
1.5K
Couple01:29

Couple

961
A couple is a pair of parallel forces equal in magnitude but in opposite directions. The forces are separated by a perpendicular distance, known as the couple's arm. The couple causes a rotation force or moment that rotates the body about an axis perpendicular to the plane of the forces. The resulting moment is referred to as the couple moment. The SI unit of a couple moment is the Newton-meter (N-m).
A typical example to understand this concept is tightening a bolt with a lug wrench. A...
961
Work of a Couple Moment01:12

Work of a Couple Moment

1.1K
Mechanical engineering involves the study of motion, energy, and force, and is concerned with designing, manufacturing, and maintaining mechanical systems. One important concept in this field is the couple moment, produced by two equal and opposite forces acting at two points in a rigid body separated by a certain distance.
When the rigid body undergoes a differential displacement due to a couple, its motion can be divided into two parts: equal translation of the two points to their final...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.

IEEE transactions on medical imaging·2025
Same author

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.

Medical image analysis·2025
Same author

Classification of lung cancer subtypes on CT images with synthetic pathological priors.

Medical image analysis·2024
Same author

A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

Publisher Correction: Mining multi-center heterogeneous medical data with distributed synthetic learning.

Nature communications·2023
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

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

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

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

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

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

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

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

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

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

Achieving Text-based Person Retrieval with Any Granularity.

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

Related Experiment Video

Updated: Jan 27, 2026

Simplified Human Neutrophil Extracellular Traps NETs Isolation and Handling
09:43

Simplified Human Neutrophil Extracellular Traps NETs Isolation and Handling

Published on: April 16, 2015

31.4K

Towards Efficient U-Nets: A Coupled and Quantized Approach.

Zhiqiang Tang, Xi Peng, Kang Li

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |April 2, 2019
    PubMed
    Summary
    This summary is machine-generated.

    We introduce coupled stacked U-Nets for efficient visual landmark localization. This method significantly reduces parameters, inference time, model size, and training memory while maintaining state-of-the-art accuracy.

    More Related Videos

    A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors
    09:16

    A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors

    Published on: October 30, 2016

    11.8K
    Pulldown Assay Coupled with Co-Expression in Bacteria Cells as a Time-Efficient Tool for Testing Challenging Protein-Protein Interactions
    07:03

    Pulldown Assay Coupled with Co-Expression in Bacteria Cells as a Time-Efficient Tool for Testing Challenging Protein-Protein Interactions

    Published on: December 23, 2022

    3.7K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Simplified Human Neutrophil Extracellular Traps NETs Isolation and Handling
    09:43

    Simplified Human Neutrophil Extracellular Traps NETs Isolation and Handling

    Published on: April 16, 2015

    31.4K
    A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors
    09:16

    A Simple and Efficient Approach to Construct Mutant Vaccinia Virus Vectors

    Published on: October 30, 2016

    11.8K
    Pulldown Assay Coupled with Co-Expression in Bacteria Cells as a Time-Efficient Tool for Testing Challenging Protein-Protein Interactions
    07:03

    Pulldown Assay Coupled with Co-Expression in Bacteria Cells as a Time-Efficient Tool for Testing Challenging Protein-Protein Interactions

    Published on: December 23, 2022

    3.7K

    Area of Science:

    • Computer Vision
    • Machine Learning

    Background:

    • Visual landmark localization is crucial for tasks like human pose estimation and facial analysis.
    • Existing methods often require substantial computational resources and large model sizes.

    Purpose of the Study:

    • To propose an efficient method for visual landmark localization using coupled stacked U-Nets.
    • To enhance feature reuse across network layers for improved efficiency.

    Main Methods:

    • Developed a novel order-K coupling design for stacked U-Nets to manage feature reuse.
    • Implemented iterative refinement and memory sharing mechanisms to optimize performance.
    • Applied low-bit-width quantization to parameters, features, and gradients for further efficiency gains.

    Main Results:

    • Achieved state-of-the-art localization accuracy on human pose and facial landmark tasks.
    • Reduced model parameters by approximately 70% compared to benchmarks.
    • Decreased inference time by around 30% and model size by 98%.
    • Saved approximately 75% of training memory.

    Conclusions:

    • The proposed coupled stacked U-Net approach offers a highly efficient solution for visual landmark localization.
    • Significant reductions in computational cost and memory footprint are achieved without compromising accuracy.
    • This method presents a promising direction for deploying complex visual tasks on resource-constrained devices.