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The Evidence for Evolution02:55

The Evidence for Evolution

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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Negative Regulator Molecules01:23

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Positive regulators allow a cell to advance through cell cycle checkpoints. Negative regulators have an equally important role as they terminate a cell’s progression through the cell cycle—or pause it—until the cell meets specific criteria.
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Positive, Negative, and Zero Work00:58

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Work is done on an object when energy is transferred to the object. In other words, work is done when a force acts on a body that undergoes a displacement from one position to another. By definition, the work done by a force is the integral of the force with respect to the displacement along its path. Forces can vary as a function of position, and displacements can occur along various paths between two points. The magnitude of a force multiplied by the cosine of the angle that the force makes...
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Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

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In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
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Negative and Cognitive Symptoms of Schizophrenia01:30

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Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
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Structure of Benzene: Molecular Orbital Model01:18

Structure of Benzene: Molecular Orbital Model

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According to the molecular orbital (MO) model, benzene has a planar structure with a regular hexagon of six sp2 hybridized carbons. As shown in Figure 1, each carbon is bonded to three other atoms with C–C–C and H–C–C bond angles of 120°. The C–H bond length is 109 pm, and the C–C bond length is 139 pm which is midway between the single bond length of sp3 hybridized carbons (154 pm) and sp2 hybridized carbons (133 pm).
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Related Experiment Video

Updated: Feb 8, 2026

Stenosis of the Inferior Vena Cava: A Murine Model of Deep Vein Thrombosis
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Exploiting Negative Evidence for Deep Latent Structured Models.

Thibaut Durand, Nicolas Thome, Matthieu Cord

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    |July 11, 2018
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    Summary
    This summary is machine-generated.

    This study introduces a novel weakly supervised learning (WSL) framework for deep neural networks. The model effectively learns localized features from image-level labels, outperforming state-of-the-art methods on multiple datasets.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence

    Background:

    • Weakly supervised learning (WSL) is crucial due to the scarcity of detailed image annotations.
    • Existing methods often lack the ability to learn localized features effectively from global image-level labels.

    Purpose of the Study:

    • To propose a novel framework for weakly supervised learning (WSL) of deep convolutional neural networks.
    • To develop a model capable of learning localized features using only global image-level annotations.

    Main Methods:

    • A new latent structured output model with a pooling function that explicitly models negative evidence.
    • End-to-end training for multi-class/multi-label classification and structured average precision (AP) ranking.

    Main Results:

    • The proposed model outperforms state-of-the-art results on six diverse datasets.
    • Significant performance improvements were observed when applied to large-scale ImageNet classification.
    • A direct adaptation for weakly supervised segmentation yielded a highly competitive model.

    Conclusions:

    • The novel WSL framework effectively learns localized features from image-level data.
    • The approach demonstrates broad applicability across various computer vision tasks, including classification and segmentation.
    • This method offers a competitive alternative for tasks with limited detailed annotations.