Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

824
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
824
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

135
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...
135
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

351
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
351
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

3.5K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
3.5K
Regression Analysis01:11

Regression Analysis

6.8K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.8K
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

890
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...
890

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The dynamics of variation in individuals.

Linguistic variation·2020
See all related articles

Related Experiment Video

Updated: Nov 12, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.0K

Comparing Constraints on Contraction Using Bayesian Regression Modeling.

Laurel MacKenzie1

  • 1Department of Linguistics, New York University, New York, NY, United States.

Frontiers in Artificial Intelligence
|March 18, 2021
PubMed
Summary
This summary is machine-generated.

This study reveals factors influencing English verb contractions for "is" and "has." Findings suggest a grammatical model where three distinct forms of "has" vary, impacting sociolinguistic research.

Keywords:
Bayesian modelingEnglishcontractioncopulalinguistic variablemultinomial regression

More Related Videos

Author Spotlight: Bridging the Gap Between In Vivo and Ex Vivo Studies with the "Avatar" Technique to Advance Muscle Mechanics Research
07:03

Author Spotlight: Bridging the Gap Between In Vivo and Ex Vivo Studies with the "Avatar" Technique to Advance Muscle Mechanics Research

Published on: August 18, 2023

1.1K
Application of Consistent Massage-Like Perturbations on Mouse Calves and Monitoring the Resulting Intramuscular Pressure Changes
07:49

Application of Consistent Massage-Like Perturbations on Mouse Calves and Monitoring the Resulting Intramuscular Pressure Changes

Published on: September 20, 2019

5.9K

Related Experiment Videos

Last Updated: Nov 12, 2025

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

10.0K
Author Spotlight: Bridging the Gap Between In Vivo and Ex Vivo Studies with the "Avatar" Technique to Advance Muscle Mechanics Research
07:03

Author Spotlight: Bridging the Gap Between In Vivo and Ex Vivo Studies with the "Avatar" Technique to Advance Muscle Mechanics Research

Published on: August 18, 2023

1.1K
Application of Consistent Massage-Like Perturbations on Mouse Calves and Monitoring the Resulting Intramuscular Pressure Changes
07:49

Application of Consistent Massage-Like Perturbations on Mouse Calves and Monitoring the Resulting Intramuscular Pressure Changes

Published on: September 20, 2019

5.9K

Area of Science:

  • Sociolinguistics
  • Phonological Variation
  • Grammatical Theory

Background:

  • Contraction patterns in English verbs like 'is' and 'has' are complex.
  • Existing sociolinguistic models often simplify multi-way variation.

Purpose of the Study:

  • To identify factors influencing 'is'-contraction in American English.
  • To compare these factors with those affecting 'has'-contraction.
  • To propose a grammatical model for variable forms based on shared contraction patterns.

Main Methods:

  • Bayesian Markov chain Monte Carlo (MCMC) modeling was employed.
  • Regression modeling was used to analyze non-binary response variables.
  • Quantitative analysis of sociolinguistic variation in verb contractions.

Main Results:

  • Novel predictors for 'is'-contraction were identified.
  • Many contraction patterns for 'is' were also observed for 'has'.
  • Ternary variation in 'has'-contraction is not adequately explained by sequential binary choices.

Conclusions:

  • The quantitative patterns of 'has'-contraction support a model with three distinct, co-varying grammatical forms.
  • Shared contraction patterns between 'is' and 'has' offer insights into grammatical representation.
  • Findings have implications for sociolinguistic methodologies and theories concerning ternary variables.