Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Deformations in a Symmetric Member in Bending01:18

Deformations in a Symmetric Member in Bending

681
When analyzing the deformation of a symmetric prismatic member subjected to bending by equal and opposite couples, it becomes clear that as the member bends, the originally straight lines on its wider faces curve into circular arcs, with a constant radius centered at a point known as Point C. This phenomenon helps to understand the stress and strain distribution within the member more clearly.
When the member is segmented into tiny cubic elements, it is observed that the primary stress...
681
Deformations in a Transverse Cross Section01:21

Deformations in a Transverse Cross Section

716
When a material is subjected to uniaxial stress, it elongates or contracts in the direction of the applied force, and also undergoes changes in the perpendicular directions. This behavior is crucial for understanding how materials behave under stress and is governed by mechanical properties such as Poisson's ratio v, which measures the ratio of transverse strain to axial strain.
As the material stretches, it expands or contracts in orthogonal directions to the load. This phenomenon varies...
716
Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

498
When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...
498
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

794
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
794
Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

150
A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...
150
Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

143
Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...
143

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Physical contact reveals a hidden layer of cortical architecture.

bioRxiv : the preprint server for biology·2026
Same author

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.

Advances in neural information processing systems·2026
Same author

75 Years of Mathematical Oncology.

bioRxiv : the preprint server for biology·2026
Same author

Dickkopf-1 release by the bone marrow upon ischemic stroke bridges neurovascular and immune deregulations.

Brain, behavior, and immunity·2026
Same author

Exploring neurodevelopment via spatiotemporal collation of anatomical networks with NeuroSC.

eLife·2025
Same author

Most prominent challenges in translational neuroscience and strategic solutions to bridge the gaps: Perspectives from an editorial board interrogation.

Exploration of neuroscience·2025

相关实验视频

Updated: May 1, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

通过空间点模式和拓数据分析剖析质痕形成.

Daniel Manrique-Castano1,2, Dhananjay Bhaskar3, Ayman ElAli4,5

  • 1Neuroscience Axis, Research Center of CHU de Québec-Université Laval, Quebec City, QC, Canada. damac36@ulaval.ca.

Scientific reports
|August 16, 2024
PubMed
概括

研究人员使用点模式分析 (PPA) 和拓数据分析 (TDA) 开发了新的定量方法,以分析中风后的质痕形成. 这些先进的技术揭示了反应性质细胞的复杂空间模式,为中枢神经系统 (CNS) 损伤反应提供了洞察力.

更多相关视频

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

5.9K

相关实验视频

Last Updated: May 1, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

5.9K

科学领域:

  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学
  • 生物医学成像技术 生物医学成像技术

背景情况:

  • 质痕形成是对中枢神经系统 (CNS) 损伤的关键反应,涉及反应性星球细胞和微质细胞.
  • 现有的研究缺乏这些反应性质细胞的空间布局的定量描述.
  • 了解质痕空间动态对于开发有效的中枢神经系统损伤治疗至关重要.

研究的目的:

  • 引入新的定量方法来分析中枢神经系统损伤后反应性质细胞的空间模式.
  • 为剖析状痕架构提供开放和可重复的计算工具.
  • 描述缺血性中风后的星细胞和微质细胞复杂的空间安排.

主要方法:

  • 应用点模式分析 (PPA) 和拓数据分析 (TDA) 来量化质细胞的空间分布.
  • 在小鼠中利用实验性缺血性中风模型.
  • 在R和Julia开发了开源工具,用于分析细胞强度,共变率,相互作用和排列尺度.

主要成果:

  • 该研究成功量化了空间强度,细胞共变性,条件分布,细胞对细胞相互作用以及反应性细胞的短/长尺度安排.
  • 发现了GFAP+ (星细胞) 和IBA1+ (微细胞) 细胞的空间分布的显著差异.
  • 这些发现凸显了传统分析方法在充分描述质痕复杂性的局限性.

结论:

  • 点图分析 (PPA) 和拓数据分析 (TDA) 是研究中枢神经系统损伤中反应性质细胞空间安排的强大工具.
  • 开发的计算方法提供了对质痕形成的更深入的理解.
  • 这种方法在评估神经系统疾病的质向修复疗法的疗效方面具有潜在的应用.