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Nuclear Overhauser Enhancement (NOE)01:07

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Irradiation of a spin-active nucleus causes an increase or decrease in the signal intensity of neighboring nuclei that are not necessarily chemically bonded or involved in J-coupling.  This phenomenon, called the Nuclear Overhauser Enhancement (NOE), results from through-space interactions between the nuclear spins. The NOE effect decreases with increasing internuclear distance and is generally not observed beyond 4 angstroms. In NOE, dipole-dipole interactions between neighboring...
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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
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Ras-related nuclear protein or Ran is a small G protein that cycles between its GTP and GDP bound states. Ran specific regulators, a Ran GTPase Activating Protein or RanGAP present in the cytosol and a Ran guanine nucleotide exchange factor or RanGEF present inside the nucleus regulate GTP/GDP exchange. A high concentration of GTP inside the cells, in addition to this asymmetric distribution of  Ran-specific regulators, leads to a higher RanGTP concentration inside the nucleus. This...
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Nuclear protein sorting is the selective trafficking of histones, polymerases, gene regulatory proteins into the nucleus and exporting RNAs and ribosomes to the cytosol. It is a tightly controlled process that regulates gene expression within a cell.
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The difference between the calculated and experimentally measured masses is known as the mass defect of the atom. In the case of helium-4, the mass defect indicates a “loss” in mass of 4.0331 amu – 4.0026 amu = 0.0305 amu. The loss in mass accompanying the formation of an atom from protons, neutrons, and electrons is due to the conversion of that mass into energy that is evolved as the atom forms. The nuclear binding energy is the energy produced when the atoms’ nucleons are bound...
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Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
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Updated: Dec 5, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Multi-View Data Fusion Oriented Clustering via Nuclear Norm Minimization.

Aiping Huang, Tiesong Zhao, Chia-Wen Lin

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    |October 15, 2020
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    Summary
    This summary is machine-generated.

    This study introduces a novel joint learning framework for multi-view image data fusion and clustering. The method effectively integrates information from diverse sources to enhance clustering accuracy and performance.

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    Area of Science:

    • Computer Vision
    • Machine Learning
    • Data Science

    Background:

    • Image clustering is difficult with heterogeneous data sources.
    • Fusing information from multiple sources can improve clustering performance.

    Purpose of the Study:

    • To propose a joint learning framework for multi-view image data fusion and clustering.
    • To enhance image clustering by effectively integrating complementary information from heterogeneous sources.

    Main Methods:

    • Formulated as matrix factorization into shared clustering indicator and representative coefficient matrices.
    • Employed nuclear norm minimization for principal component compression.
    • Utilized an alternating minimization strategy for efficient problem decomposition.

    Main Results:

    • Demonstrated superior performance compared to state-of-the-art methods on real-world image and video datasets.
    • The proposed method effectively fuses information from heterogeneous sources for improved clustering.

    Conclusions:

    • The joint learning framework based on nuclear norm minimization offers a robust solution for multi-view image clustering.
    • This approach effectively addresses the challenges of heterogeneous data in image clustering tasks.