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Structures of Solids02:22

Structures of Solids

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Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
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Structural Isomerism02:34

Structural Isomerism

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Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
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Structure of Lipids03:38

Structure of Lipids

98.7K
Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...
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Viral Structure00:56

Viral Structure

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Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
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Antibody Structure01:10

Antibody Structure

65.5K
Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
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Protein and Protein Structure02:15

Protein and Protein Structure

87.5K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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Related Experiment Video

Updated: Jan 31, 2026

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
11:38

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

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The latent structure of self-harm.

Chloe M Evans1, Leonard J Simms1

  • 1Department of Psychology.

Journal of Abnormal Psychology
|December 28, 2018
PubMed
Summary

The structure of self-harm behaviors, including suicidality and nonsuicidal self-injury (NSSI), was examined. A bifactor model best explained the data, indicating a general self-harm factor with specific components for NSSI and suicidality.

Area of Science:

  • Psychology
  • Psychiatry
  • Behavioral Science

Background:

  • The dimensional structure of self-harm behaviors, specifically the relationship between suicidality and nonsuicidal self-injury (NSSI), remains unclear.
  • Understanding this structure is crucial for accurate assessment and targeted interventions.

Purpose of the Study:

  • To investigate the latent factor structure of self-harm behaviors using confirmatory factor analysis.
  • To determine if suicidality and NSSI represent a single dimension or distinct dimensions.
  • To explore the utility of bifactor modeling in elucidating the complex nature of self-harm.

Main Methods:

  • Confirmatory factor analyses were employed on self-harm items from a clinical/community sample (N = 641).
  • Three competing models were tested: a one-factor model, a correlated-factors model, and a bifactor model.

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  • Model fit indices were used to determine the best representation of the data.
  • Main Results:

    • The bifactor model demonstrated the best fit to the data, suggesting a hierarchical structure.
    • A general factor, representing shared variance between suicidality and NSSI, accounted for the majority of the variance and predicted psychosocial correlates.
    • A specific factor for NSSI uniquely correlated with antagonistic and obsessive-compulsive traits, while a suicidality-specific factor explained minimal variance.

    Conclusions:

    • Preliminary evidence supports the utility of bifactor modeling for understanding the latent structure of self-harm.
    • The findings suggest a general propensity for self-harm, with distinct, albeit weakly defined, specific components for NSSI and suicidality.
    • Further research is warranted to validate these findings and refine the understanding of self-harm heterogeneity.