Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Complex Power

Complex Power

Power engineers have introduced the concept of complex power to determine the cumulative effect of parallel loads. This idea plays a crucial role in power analysis because it encompasses all the details related to the power consumed by a specific load.
Complex power is defined as the multiplication of the voltage and the complex conjugate of the current. The magnitude of this power, known as apparent power, is measured in volt-amperes (VA). Notably, the angle of the complex power equates to the...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...

Complexation Equilibria: Overview

Complexation Equilibria: Overview

Complexation reactions take place when dative or coordinate covalent bonds form between metal ions and ligands. The compounds formed in these reactions are called coordination compounds. The number of bonds formed between the metal ion and the ligands is called its coordination number. Generally, most metal ions in an aqueous solution are solvated by water molecules and thus exist as aqua complexes.
The equilibrium constant of the complexation reaction is represented as the formation constant...

Mass Spectrometry: Complex Analysis

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...

You might also read

Related Articles

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

Sort by

Same author

Direct impact of climate change on groundwater levels in the Iberian Peninsula.

The Science of the total environment·2025

Same author

Reconstructing the release history of a contaminant source with different precision via the ensemble smoother with multiple data assimilation.

Journal of contaminant hydrology·2022

Same author

Editorial: Machine Learning for Water Resources.

Frontiers in artificial intelligence·2021

Same author

A review and numerical assessment of the random walk particle tracking method.

Journal of contaminant hydrology·2006

Search research articles

Related Experiment Video

Updated: Jul 19, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Complexity.

J Jaime Gómez-Hernández¹

¹Hydrogeology Group, Institute for Water and Environmental Engineering, Universidad Politécnica de Valencia, ES-46071 Valencia, Spain.

|November 8, 2006

Summary

Defining model complexity is challenging. This study addresses complexity in aquifer modeling by using stochastic models to quantify prediction uncertainty through heterogeneous parameter realizations.

Area of Science:

Hydrogeology
Geostatistics
Computational Modeling

Background:

Defining and managing complexity in aquifer modeling is challenging.
Model uncertainty is often linked to complexity, but complex models are not always necessary.
The interplay between complexity, uncertainty, heterogeneity, and stochastic modeling requires careful consideration.

Purpose of the Study:

To clarify the concept of complexity in aquifer modeling.
To explore the use of stochastic models for quantifying prediction uncertainty.
To demonstrate how heterogeneous realizations of aquifer parameters address model complexity.

Main Methods:

Utilizing stochastic modeling techniques.
Generating heterogeneous realizations of aquifer parameters.

Related Experiment Videos

Last Updated: Jul 19, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Focusing on quantifying prediction uncertainty in aquifer models.

Main Results:

Demonstrated that quantifying uncertainty does not necessitate overly complex models.
Showcased stochastic models' ability to produce heterogeneous parameter realizations.
Provided a framework for addressing a specific type of complexity in aquifer modeling.

Conclusions:

Complexity in aquifer modeling can be effectively managed using stochastic approaches.
Stochastic models are crucial for quantifying prediction uncertainty.
Heterogeneous parameter realizations are key to understanding model complexity and uncertainty.