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

Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters00:54

Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters

460
The noncompartmental approach is a widely used method in pharmacokinetics to assess drugs' behaviors in the body. It considers several factors, including clearance, bioavailability, and total volume of distribution.
One key aspect of the noncompartmental approach is determining a drug's total clearance. This can be done by dividing the drug dose by the area under the concentration-time curve from zero to infinity. The area under the concentration-time curve represents the drug's...
460
Wave Parameters01:10

Wave Parameters

9.4K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.4K
Dynamic Equilibrium02:20

Dynamic Equilibrium

63.0K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
63.0K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.2K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.2K
¹H NMR of Labile Protons: Temporal Resolution01:10

¹H NMR of Labile Protons: Temporal Resolution

1.7K
Protons bonded to heteroatoms such as nitrogen and oxygen exhibit a range of chemical shift values. This is due to the varying degree of hydrogen bonding between the proton and the heteroatom in other molecules. The extent of hydrogen bonding affects the electron density around the proton, thereby giving different chemical shift values for the protons in the proton NMR spectrum.
The –OH proton in alcohols typically appears in the range of δ 2 to 5 ppm but can vary depending on the specific...
1.7K
Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

1.3K
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Integrating circular economy in food waste management: insights from Thailand's shopping mall and community.

Environmental science and pollution research international·2025
Same author

Multisectoral Optimization of Residual Resource Valorization for the Bioeconomy.

Environmental science & technology·2025
Same author

Analysis and modeling of the photoautotrophic activity of Allochromatium vinosum.

Bioresource technology·2025
Same author

Impact of urbanism on source separation systems: A life cycle assessment.

The Science of the total environment·2024
Same author

Tracking the formation potential of vivianite within the treatment train of full-scale wastewater treatment plants.

The Science of the total environment·2023
Same author

Methodological framework for Life Cycle Assessment of sustainable aviation (SA) systems.

The Science of the total environment·2023

Related Experiment Video

Updated: Feb 8, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.5K

Sensitivity analysis of temporal parameters in a dynamic LCA framework.

Allan Hayato Shimako1, Ligia Tiruta-Barna1, Ana Barbara Bisinella de Faria1

  • 1LISBP, Université de Toulouse, CNRS, INRA, INSA, 135 Avenue de Rangueil, F-31077 Toulouse, France.

The Science of the Total Environment
|June 23, 2018
PubMed
Summary

Dynamic Life Cycle Assessment (LCA) reveals temporal parameters significantly impact results. Time steps for ecotoxicity and human toxicity assessments are crucial, unlike climate change impacts.

Keywords:
Climate changeDynamic life cycle assessmentSensitivity analysisToxicity

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

6.3K

Related Experiment Videos

Last Updated: Feb 8, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.5K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

6.3K

Area of Science:

  • Environmental Science
  • Life Cycle Assessment (LCA)
  • Sustainability Science

Background:

  • Integrating temporal dynamics into Life Cycle Assessment (LCA) is an emerging research area.
  • A comprehensive framework for dynamic Life Cycle Inventory (LCI) and Life Cycle Impact Assessment (LCIA) has been proposed.
  • The influence of temporal parameters within this dynamic LCA framework remains underexplored.

Purpose of the Study:

  • To evaluate how temporal profiles of dynamic LCI and calculation time spans affect LCA outcomes.
  • To analyze the impact of time step resolution in dynamic LCI and LCIA on environmental indicators.
  • To assess the sensitivity of climate change, ecotoxicity, and human toxicity impacts to temporal parameters.

Main Methods:

  • Dynamic Life Cycle Inventory (LCI) and Life Cycle Impact Assessment (LCIA) were employed.
  • Temporal parameters, including LCI time profiles, calculation time spans, and impact model time steps, were varied.
  • Time step variations ranged from 0.5 days to 1 year for analysis.

Main Results:

  • Dynamic LCA results visualized temporal variations in impact intensity and timing.
  • A fixed time horizon, common in conventional LCA, obscures critical temporal information.
  • Dynamic climate change impacts were insensitive to LCI time step variations, but ecotoxicity and human toxicity impacts were highly sensitive.
  • Climate change calculations accommodated time steps up to 1 year, while toxicity impact models required adaptive time steps (max 0.5 day).

Conclusions:

  • Temporal dynamics significantly influence LCA results, particularly for toxicity indicators.
  • The choice of time step and time horizon is critical for accurate dynamic LCA, especially for toxicity assessments.
  • Dynamic LCA offers richer insights than conventional LCA by capturing time-dependent environmental impacts.