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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

26
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
26
Carrier-Mediated Transport01:06

Carrier-Mediated Transport

212
Carrier-mediated transport is a pivotal process in drug absorption, particularly for lipid-insoluble drugs, and encompasses facilitated diffusion and active transport. Facilitated diffusion allows drugs to move along their concentration gradient without energy expenditure, while active transport utilizes ATP to drive drug movement against this gradient.
Active transport involves two types of membrane-spanning transporters: uptake and efflux. Uptake transporters are expressed in the small...
212
Acceleration Vectors01:30

Acceleration Vectors

7.9K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
7.9K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

310
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
310
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

688
The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
688
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

14
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,...
14

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

Engineering next-generation organoids: A review on bioprinting strategies, bioink innovations, and frontier applications.

Journal of tissue engineering·2026
Same author

Vagus nerve stimulation: a potential tool to further improve perioperative anesthesia management quality and postoperative recovery?

Frontiers in medicine·2026
Same author

Tumor heterogeneity index from DCE-MRI for AKT-inhibition responder identification and reveals hot immune microenvironment for patients with breast cancer: a multi-omics analysis of I-SPY2 trial.

Breast cancer research : BCR·2026
Same author

Mechanism of the AMPK/SIRT1 pathway in gut dysbiosis-mediated postoperative cognitive dysfunction in aged mice.

The international journal of neuropsychopharmacology·2025
Same author

Is performing the Kasai portoenterostomy in the neonatal period associated with a better prognosis? A single-center, retrospective cohort study from China.

BMC pediatrics·2025
Same author

Unraveling the Dyslipidemic Landscape in Moyamoya Disease: OxLDL as a Key Biomarker.

CNS neuroscience & therapeutics·2025
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: May 10, 2025

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

8.9K

热:一个高效的半加速算法,以实现最佳的运输问题.

Guojun Zhang, Zhexuan Gu, Yancheng Yuan

    IEEE transactions on pattern analysis and machine intelligence
    |April 25, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种针对最佳运输 (OT) 问题的高效算法,显著提高了计算速度. 这种新方法提高了解决离散OT问题的能力,并恢复了运输计划,优于现有的解决方案.

    更多相关视频

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
    12:26

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

    Published on: January 29, 2022

    5.5K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    00:10

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.1K

    相关实验视频

    Last Updated: May 10, 2025

    Image-based Lagrangian Particle Tracking in Bed-load Experiments
    10:32

    Image-based Lagrangian Particle Tracking in Bed-load Experiments

    Published on: July 20, 2017

    8.9K
    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
    12:26

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

    Published on: January 29, 2022

    5.5K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    00:10

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.1K

    科学领域:

    • 计算数学是指计算数学.
    • 优化算法的优化算法
    • 几何分析的几何分析

    背景情况:

    • 最佳运输 (OT) 问题是各种领域的基本问题,包括机器学习和物理学.
    • 现有的OT问题的算法经常面临着大数据集的计算挑战.
    • 有效计算OT计划和成本仍然是一个关键的研究领域.

    研究的目的:

    • 提出和实施一个高效的算法,以解决以有限支的最佳运输问题.
    • 在2D欧几里德空间中使用L2^2-norm.开发一个计算上优越的方法来解决离散的OT问题.
    • 为了使运输计划从缩小的OT模型中恢复.

    主要方法:

    • 实施HOT (徒最佳运输) 算法.
    • 一个Halpern加速算法的设计,用于减少离散的OT模型.
    • 导出线性时间复杂度程序用于在HOT算法中解决线性系统.

    主要成果:

    • 在$O(M^{1.5}/\varepsilon ) $的失败中获得了对M支的OT问题的$\varepsilon$-近似解决方案,这显著改善了计算复杂性.
    • 开发了一种程序,从缩小模型解决方案中恢复原来的OT计划.
    • 与最先进的算法相比,PyTorch实现在数值实验中表现出更高的性能.

    结论:

    • 拟议的HOT算法在解决最佳运输问题的计算效率方面取得了实质性的进展.
    • 该方法有效地解决了减少OT模型的局限性,允许运输计划恢复.
    • 该算法的性能表明其在科学和工程领域具有广泛应用的潜力.