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

Prediction Intervals01:03

Prediction Intervals

2.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.5K
Space-Time Curvature and the General Theory of Relativity01:17

Space-Time Curvature and the General Theory of Relativity

4.4K
In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
This has been verified in many experiments. However, space and time are no longer absolute. Two observers moving relative to one another do not agree on the length of objects or the passage of time. The mechanics of objects based on Newton's laws of...
4.4K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

712
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,...
712
Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

458
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
458
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

3.1K
The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
3.1K
Multiple Regression01:25

Multiple Regression

3.3K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Proteome-wide model for human disease genetics.

Nature genetics·2025
Same author

The Biodiversity Cell Atlas: mapping the tree of life at cellular resolution.

Nature·2025
Same author

Evolution of comparative transcriptomics: biological scales, phylogenetic spans, and modeling frameworks.

Current opinion in genetics & development·2025
Same author

Guidelines for releasing a variant effect predictor.

Genome biology·2025
Same author

Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration.

Nature communications·2025
Same author

MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays.

Genome biology·2025
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.2K

Simple predictions from multifield inflationary models.

Richard Easther1, Jonathan Frazer2, Hiranya V Peiris3

  • 1Department of Physics, University of Auckland, Private Bag 92019, Auckland, New Zealand.

Physical Review Letters
|May 13, 2014
PubMed
Summary
This summary is machine-generated.

Multifield inflationary models with many fields make precise predictions for cosmic observables. Increasing the number of fields sharpens predictions for the spectral index, running, and tensor-to-scalar ratio.

More Related Videos

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.8K

Related Experiment Videos

Last Updated: Apr 30, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.2K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.8K

Area of Science:

  • Cosmology
  • Theoretical Physics
  • Inflationary Cosmology

Background:

  • Inflationary cosmology is a key paradigm for explaining the early universe.
  • Multifield models offer a richer framework than single-field models.
  • Unambiguous predictions for observable quantities are crucial for testing these models.

Purpose of the Study:

  • To investigate the predictive power of multifield inflationary models.
  • To determine if N-quadratic inflation makes unambiguous predictions for cosmological observables.
  • To explore the impact of the number of fields (N) on these predictions.

Main Methods:

  • Numerical evaluation of perturbation equations for N=2, 3, and O(100) fields.
  • Utilizing distinct methods for specifying initial conditions of background fields.
  • Employing Monte Carlo sampling to analyze probability distributions of observables.

Main Results:

  • All multifield scenarios studied are highly predictive.
  • Probability distributions for cosmological observables become sharply peaked as N increases.
  • For N=100 fields, specific ranges for spectral index (ns), running (α), tensor-to-scalar ratio (r), and isocurvature-to-adiabatic ratio (riso) were obtained with high confidence (95%).

Conclusions:

  • Multifield inflationary models, particularly N-quadratic inflation, provide unambiguous predictions.
  • The number of fields significantly enhances the predictive power of these models.
  • Growing isocurvature perturbation amplitudes with N suggest sensitivity to post-inflationary physics, opening new testing avenues.