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 Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

29
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
29
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

42
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...
42
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

94
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
94
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

42
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
42
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

79
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
79
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

399
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
399

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

Determining hemispheric language dominance from MEG beta-power modulations: Concordance with fMRI.

NeuroImage·2026
Same author

Intracranial EEG findings and outcomes in MRI-negative epilepsy with temporal lobe semiology and scalp EEG features.

Epilepsy & behavior : E&B·2026
Same author

Modulating Phonological Short-Term Memory in Stroke Survivors With Aphasia Using Transcranial Alternating Current Stimulation.

Neurorehabilitation and neural repair·2025
Same author

Neural decoding of autobiographical mental image features with a general semantic model.

Nature communications·2025
Same author

Different Brain Network Connectomic Relationships Subserve Hand Dexterity During Task Versus Resting States in People with Brain Tumors.

Brain and behavior·2025
Same author

Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

See what I mean? Reading visual verbs modulates ocular dynamics.

Language, cognition and neuroscience·2026
Same journal

Action and Event-Based Lexical-Semantic Processing in Parkinson's Disease.

Language, cognition and neuroscience·2026
Same journal

Within- and between-language competition in adult second language learners: implications for language proficiency.

Language, cognition and neuroscience·2025
Same journal

Timecourse of bottom-up and top-down language processing during a picture-based semantic priming task.

Language, cognition and neuroscience·2025
Same journal

LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words.

Language, cognition and neuroscience·2025
Same journal

Altered Oscillatory Neural Dynamics Related to Word Prediction in Older Adult Readers.

Language, cognition and neuroscience·2025
查看所有相关文章

相关实验视频

Updated: Jun 9, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.1K

分解非指控性:一个统计建模方法.

Songhee Kim1, Jeffrey R Binder1, Colin Humphries1

  • 1Department of Neurology, Medical College of Wisconsin, Milwaukee, USA.

Language, cognition and neuroscience
|October 31, 2024
PubMed
概括
此摘要是机器生成的。

这项研究提出了一种经验模型,用于分类非传递式动词 (非指控性和非反应性). 分级,体现的特征,而不是二进制属性,最好解释动词的区别.

关键词:
分布式语义学的分布式语义.嵌入式认知 嵌入式认知经验模型是一种体验模型.统计建模 统计建模没有指控性.

更多相关视频

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

405
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

相关实验视频

Last Updated: Jun 9, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.1K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

405
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

科学领域:

  • 语言学的语言学.
  • 认知科学 认知科学
  • 神经生物学 神经生物学 神经生物学

背景情况:

  • 传统上,将不过渡性动词分为无活性和无指控性类型的分类是通过语法或语义镜头来看的,通常使用诸如代理性和隐形性等二进制属性.
  • 以前的研究依赖于分类直觉来分类动词,可能忽视细微的区别.

研究的目的:

  • 调查神经生物学系统中根深蒂固的分级,体现特征在区分非指责性和非主动性动词中的作用.
  • 提出和评估动词含义的经验模型与其他理论框架相比.

主要方法:

  • 评估了使用 prenominal过去参与词构造的可接受性,诊断测试的无指控性的程度.
  • 开发并比较了五种模型:分类语法/语义,基于特征的事件-语义,体验和分布模型.

主要成果:

  • 经验模型证明最适合诊断测试数据,优于分类模型和其他基于特征的模型.
  • 这表明,非指控性/非激活性区别可能源于体验内容的潜在差异.

结论:

  • 经验模型为动词分类提供了更强大的解释,强调分级,体现的特征,而不是二进制语义属性.
  • 该模型在解释性和可扩展性方面的优势需要在语言和认知研究中进一步探索.