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Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion, mediated...
Nonlinear Pharmacokinetics: Role of Transporters01:27

Nonlinear Pharmacokinetics: Role of Transporters

A drug's nonlinear kinetics can be influenced by a diverse range of transporter proteins that serve as crucial players in drug distribution. These transporters, found within cells, can enhance or reduce local drug concentrations by facilitating the influx or efflux of drugs. For instance, the expression of xenobiotic transporters can be influenced by factors such as age and gender, potentially impacting the linearity of drug response.
Polymorphisms occurring in drug transporters can alter...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

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相关实验视频

Updated: Jun 7, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

建模全球贸易与最佳的运输运输的模式.

Thomas Gaskin1,2,3, Guven Demirel4, Marie-Therese Wolfram5

  • 1Department of Methodology, London School of Economics and Political Science, London, UK. t.gaskin@lse.ac.uk.

Nature communications
|February 19, 2026
PubMed
概括

这项研究引入了一种新的深度学习方法来建模全球贸易成本,优于传统方法. 该框架显示,由于地缘政治事件,低收入国家的贸易成本增加不成比例地高.

更多相关视频

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
18:57

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers

Published on: October 18, 2013

相关实验视频

Last Updated: Jun 7, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
18:57

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers

Published on: October 18, 2013

科学领域:

  • 经济学 经济学 经济学
  • 计量经济学 计量经济学
  • 机器学习 机器学习

背景情况:

  • 全球贸易受到供需之外的复杂因素的影响,包括运输成本,关税和政治经济关系.
  • 传统的重力模型难以捕捉这些更微妙的贸易驱动因素,因为它们依赖于明确的共同变量.

研究的目的:

  • 利用最佳运输和深度神经网络,开发一个用于建模时间依赖的贸易成本的新框架.
  • 克服传统重力模型在捕捉复杂的贸易决定因素方面的局限性.

主要方法:

  • 采用最佳运输和深度神经网络,从没有预定义的功能形式的数据中学习时间依赖的成本函数.
  • 使用数据驱动方法来建模贸易成本,允许自然不确定性量化.

主要成果:

  • 提出的方法在准确性方面始终优于传统的重力模型.
  • 在乌克兰战争对小麦市场的影响之后,低收入国家的贸易成本增加了不成比例.
  • 揭露了全球食品和农业贸易,自由贸易协定,与中国的贸易争端以及英国脱欧对英国和欧洲贸易的影响的隐藏模式.

结论:

  • 新的框架为全球贸易动态提供了更准确,更细致的理解.
  • 强调地缘政治事件对贸易成本的重大影响,特别是对脆弱经济体的影响.
  • 提供了对贸易政策和争端的影响的见解,揭示了仅仅从贸易量中看不到的模式.