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

Factors Affecting Solubility04:01

Factors Affecting Solubility

39.4K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
39.4K
Hydration of Cement01:24

Hydration of Cement

1.7K
Hydration of cement is a chemical reaction between cement particles and water. This process occurs primarily through two mechanisms: through-solution and topochemical. In the through-solution process, anhydrous compounds dissolve into their constituents, hydrates form in the solution, and then precipitate from the supersaturated solution. The topochemical process involves solid-state reactions at the cement particle surface. The through-solution process dominates the topochemical process at the...
1.7K
Soundness of Cement01:17

Soundness of Cement

679
The soundness of cement refers to the ability of cement paste to retain its volume after setting. Unsound cement can lead to expansion and structural damage due to the presence of free lime, magnesia, and calcium sulfate. Free lime hydrates very slowly, expanding and causing unsoundness, which is difficult to detect because it intercrystallizes with other compounds. Magnesia also reacts with water, forming crystals that can disrupt the cement's structure. Calcium sulfate can create...
679
Accelerators01:17

Accelerators

348
Accelerators in concrete serve as admixtures to speed up the hardening process, enabling the concrete to achieve early strength faster. Although accelerators do not necessarily impact the time it takes concrete to set, they reduce this time in practice. A common accelerator is calcium chloride, which is particularly useful for hastening early strength development in cold weather or for rapid repair jobs that require quick heat generation after mixing.
The effectiveness of calcium chloride can...
348
Drying Shrinkage01:21

Drying Shrinkage

476
When hardened concrete is exposed to air with a relative humidity of less than 100 percent, it begins to lose the free water within its capillaries. As this water evaporates, the water initially adsorbed onto the calcium silicate hydrates migrates towards these now empty spaces and eventually evaporates as well. Over time, as more water leaves, the volume of the concrete decreases, a phenomenon known as drying shrinkage.
A portion of this drying shrinkage can be reversed; if the concrete is...
476
Alkali Aggregate Reaction in Concrete01:26

Alkali Aggregate Reaction in Concrete

758
The alkali-aggregate reaction in concrete involves natural siliceous minerals in aggregates reacting with alkaline hydroxides derived from cement alkalis. This reaction forms an alkali-silica gel that absorbs water, swells, and increases in volume, which is confined by the surrounding cement paste, creating internal pressures that crack and disrupt the concrete. The extent of expansion and damage can be partly attributed to the alkali-silica reaction's osmotic hydraulic pressure and the...
758

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

Tracking Age-Related Topological Changes in Individual Brain Morphological Networks Across the Human Lifespan.

Journal of magnetic resonance imaging : JMRI·2023
Same author

Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications.

Computational intelligence and neuroscience·2018
查看所有相关文章

相关实验视频

Updated: Apr 16, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.2K

使用热扩散模型从结构连接体预测静止状态的大脑功能连接:多次时间尺度的融合方法.

Zhengyuan Lv1, Jingming Li1, Li Yao1

  • 1School of Artificial Intelligence, Beijing Normal University, Beijing 100875, People's Republic of China.

Journal of neural engineering
|April 2, 2024
PubMed
概括

本研究引入了一种新的多次时间尺度融合方法,利用热扩散模型 (HDM) 来从结构连接 (SC) 预测功能连接 (FC). 新方法通过捕捉动态扩散过程来提高FC预测的准确性.

关键词:
功能连接性的功能连接性热扩散模型的热扩散模型多次时间尺度的核聚变.结构连接性的结构连接性

更多相关视频

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

6.6K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

相关实验视频

Last Updated: Apr 16, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.2K
Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

6.6K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 大脑的连接性 大脑的连接性

背景情况:

  • 了解结构连接 (SC) 和功能连接 (FC) 之间的关系对于大脑研究至关重要.
  • 之前的热扩散模型 (HDM) 应用程序在单个时间尺度上预测了FC,缺少动态扩散信息.

研究的目的:

  • 开发一种改进的HDM方法来预测SC的FC.
  • 为了更准确地预测FC,纳入动态扩散过程.
  • 为了增强对大脑结构功能关系的理解.

主要方法:

  • 引入了多次时间尺度的聚变方法来捕捉动态扩散特征.
  • 应用波形重建用于平滑预测的FC和降低噪声.
  • 计算了光滑和实证FC之间的线性转换,以准确表示.

主要成果:

  • 与单次时间尺度方法相比,多次时间尺度方法显著改善了预测相关性.
  • 在两个独立的数据集上实现了最高的预测相关性 (0.6939±0.0079和0.7302±0.0117).
  • 确定视觉网络和头顶叶作为具有最高预测相关性的区域.

结论:

  • 拟议的多次时间尺度聚变方法提供了更动态和更准确的SCFC预测.
  • 这种方法加深了对大脑结构如何通过信息扩散影响大脑功能的理解.