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

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.3K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.3K
Approximate Integration01:24

Approximate Integration

54
In many practical and theoretical contexts, the exact value of a definite integral may be inaccessible. This limitation typically arises when the antiderivative of a function is either unknown or cannot be expressed in a closed mathematical form. Alternatively, it can occur when a function is defined not by a formula but by a finite set of empirical data points, such as those collected during experiments. In these cases, approximate integration techniques provide a valuable solution.One of the...
54
ABC Transporters: Exporter01:31

ABC Transporters: Exporter

6.6K
ATP-binding cassette or ABC transporter is the largest superfamily of integral membrane proteins. The transporters have transmembrane-binding domains (TMDs) and nucleotide-binding domains (NBDs). The TMDs are specific to their substrates, whereas the NBDs are similar to engines that complete ATP hydrolysis to complete the substrate transport. They can be full transporters consisting of two TMDs and NBDs, half transporters with one TMD and NBD, while some encoded with a single TMD or NBD are...
6.6K
Linearization and Approximation01:26

Linearization and Approximation

62
Linearization is a mathematical technique used to approximate complex, nonlinear functions with simpler linear models in the vicinity of a chosen reference point. The method is based on the idea that, although a function may be difficult to evaluate exactly, its behavior near a specific input value can often be closely approximated by the tangent line at that point. This approach is particularly useful when small deviations from a known value are involved.Consider the square root function, for...
62
ABC Transporters: Importer01:27

ABC Transporters: Importer

3.5K
ATP-binding cassette or ABC transporters are a class of ATP-driven pumps that hydrolyze ATP to move solutes across the membrane. They can be grouped into importers and exporters. While exporters are present in all domains of life, importers exist only in bacteria and some plants.
In bacteria, based on the number of transmembrane helices and the chemical nature of their substrates, the ABC importers can be divided into three types:
3.5K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

778
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
778

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

Biased estimates of phylogenetic branch lengths resulting from the discretised Gamma model of site rate heterogeneity.

Systematic biology·2026
Same author

Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.

BMC infectious diseases·2026
Same author

Prejudice and politics in cognitive-behavioral therapy: An indigenous perspective from Aotearoa-New Zealand and Australia.

Current opinion in psychology·2026
Same author

HIV Transmission in a Declining African Epidemic.

medRxiv : the preprint server for health sciences·2026
Same author

Cell therapy manufacturing at full clinical scale: enhancing the quality CAR-T cell therapy starting materials through massively parallel automated microfluidic cell sorting.

Lab on a chip·2026
Same author

Evaluating the biomedical and behavioral drivers of HIV incidence decline in adolescent girls and young women in Uganda: A mathematical modeling study.

PLoS medicine·2026

相关实验视频

Updated: Feb 2, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K

ML-ABC:机器学习辅助的近似贝叶斯计算,用于有效校准基于病原体的模型,用于分析流行病爆发.

Thomas Bayley1, Tony Ward1, Fabian Sturman2

  • 1UK Health Security Agency, London, UK.

Epidemics
|January 31, 2026
PubMed
概括

我们开发了一种更快的方法,即机器学习近似贝叶斯计算 (ML-ABC),用于对COVID-19进行复杂的基于代理的模型 (ABM) 的校准. 这种方法提高了流行病建模的效率和参数不确定性量化.

关键词:
基于代理的模型基于代理的模型.传染病建模传染病模型机器学习算法的算法.疫情防控 疫情防控 疫情控制

更多相关视频

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

相关实验视频

Last Updated: Feb 2, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

科学领域:

  • 流行病学 流行病学
  • 计算生物学 计算生物学
  • 数学建模的数学建模

背景情况:

  • 基于代理的模型 (ABM) 对于流行病建模至关重要,但校准很复杂.
  • 在ABM中对参数不确定性定量化的贝叶斯方法在计算上具有挑战性.
  • COVID-19大流行突出了有效和强大的流行病建模校准的需要.

研究的目的:

  • 引入和评估一种新的机器学习近似贝叶斯计算 (ML-ABC) 方法来校准ABMs.
  • 提高针对流行病数据的ABM校准的效率和稳定性.
  • 在复杂的ABM中有效量化参数不确定性.

主要方法:

  • 通过将机器学习步骤与近似贝叶斯计算相结合,开发了ML-ABC.
  • 应用ML-ABC以使用COVID-19住院和死亡数据校准Covasim随机ABM.
  • 为了提高效率和准确性,将ML-ABC与传统的拒绝-ABC (R-ABC) 进行比较.

主要成果:

  • ML-ABC实现了与R-ABC相同的校准参数的后部分布.
  • ML-ABC显著提高了速度:第一波的速度提高了52%,第二波的速度提高了33%.
  • 该方法在不同的流行病情景中被证明是稳健的.

结论:

  • 与传统方法相比,ML-ABC提供了一种更有效和更稳定的方法来校准ABM.
  • 这种新的方法提高了在ABM中量化参数不确定性的能力.
  • ML-ABC有可能使近似贝叶斯计算与点估计校准具有竞争力,这对于实时流行病建模至关重要.