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

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

14.0K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
14.0K
Manipulation and Analysis01:21

Manipulation and Analysis

23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
23
Associative Learning01:27

Associative Learning

353
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
353
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.2K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

12.8K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
12.8K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

321
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
321

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

Identification and evaluation of potential probiotics with favorable fermentation and storage characteristics for fermented brown milk beverages.

Food microbiology·2026
Same author

Reactivity-Controlled Aluminum (III)-Based Electrolyte Enables Year-Long Stable Metal Anodes.

Angewandte Chemie (International ed. in English)·2026
Same author

A pH-Responsive Antimicrobial Peptide Coating with Efficient Antibacterial Activity and Preserved Oral Microbiota Homeostasis during Clear Aligner Treatment.

ACS applied materials & interfaces·2026
Same author

The mouse-lethal H5N1 influenza virus carrying the PB2-384L/443R/460M characteristics acquired in avian hosts can effectively utilize human ANP32A/B proteins.

Emerging microbes & infections·2026
Same author

Preparation, Interaction Mechanism and Application of Functional Ionic Liquid-Mediated Protein Imprinting Technique.

Polymers·2026
Same author

Harnessing Multi-Anchoring Effects for the Fabrication and Specific Recognition of Surface-Oriented Imprinted Nanospheres for Cytochrome C.

Polymers·2026

相关实验视频

Updated: Jun 29, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K

通过稀疏的时空空间动态学习,推进城市交通事故预测.

Pengfei Cui1, Xiaobao Yang1, Mohamed Abdel-Aty2

  • 1School of System Science, Beijing Jiaotong University, Beijing 100044, China.

Accident; analysis and prevention
|April 3, 2024
PubMed
概括
此摘要是机器生成的。

准确的交通事故预测对于公共安全至关重要. 一个新的Sparse空间时间动态超图学习 (SST-DHL) 框架有效地模拟复杂的数据,提高预测准确性并增强对安全措施的信任.

关键词:
超图形学习的学习方法自主监督学习学习稀疏的数据稀疏的数据时间空间预测预测交通事故预测预测

更多相关视频

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K

相关实验视频

Last Updated: Jun 29, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.5K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K

科学领域:

  • 计算机科学 计算机科学
  • 城市规划 城市规划
  • 公共卫生 公共卫生

背景情况:

  • 交通事故带来了重大的公共健康和安全挑战.
  • 准确的预测对于有信息的城市规划和公众信心至关重要.
  • 传统模型在稀疏且分布不均的事故数据上扎.

研究的目的:

  • 为准确的交通事故预测开发一个先进的框架.
  • 解决现有模型在处理稀疏时空数据方面的局限性.
  • 提高对事故数据中的复杂依赖关系的理解.

主要方法:

  • 提出了一个稀疏的时空动态超图学习 (SST-DHL) 框架.
  • 集成的多视图空间时间卷积用于局部相关性.
  • 针对全球依赖的跨区域动态超图学习.
  • 利用一个双监督的自学范式来进行强大的模式捕获.

主要成果:

  • 与纽约市和伦敦数据集的基线模型相比,SST-DHL显示出了显著的改进.
  • 该框架在各种数据稀疏度级别中表现出增强的性能.
  • 与现有方法相比,在预测交通事故方面取得了更高的准确性.

结论:

  • 在稀少的交通事故数据中,SST-DHL框架有效地捕获了更高层次的依赖关系.
  • 它为交通事故预测提供了更高的准确性和可解释性.
  • 这种方法通过可靠的预测提高了公共安全和信任.