Jove
Visualize
Contact Us

Related Concept Videos

Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

219
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
219
Stereotype Content Model02:16

Stereotype Content Model

15.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

151
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...
151
Protein Complex Assembly02:41

Protein Complex Assembly

14.6K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
14.6K
Protein Complex Assembly02:41

Protein Complex Assembly

2.3K
2.3K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

12.8K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
12.8K

You might also read

Related Articles

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

Sort by
Same author

System Approach for Characterizing and Evaluating Factors for Occupational Health Impacts Due to Nonfatal Injuries and Illnesses for the Use in Life Cycle Assessment.

Environmental science & technology·2023
Same author

Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List.

Applied sciences (Basel, Switzerland)·2022
Same author

FLOWSA: A Python Package Attributing Resource Use, Waste, Emissions, and Other Flows to Industries.

Applied sciences (Basel, Switzerland)·2022
Same author

Incorporating New Technologies in EEIO Models.

Applied sciences (Basel, Switzerland)·2022
Same author

<i>useeior</i>: An Open-Source R Package for Building and Using US Environmentally-Extended Input-Output Models.

Applied sciences (Basel, Switzerland)·2022
Same author

A System for Standardizing and Combining U.S. Environmental Protection Agency Emissions and Waste Inventory Data.

Applied sciences (Basel, Switzerland)·2022
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 Experiment Video

Updated: Nov 5, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.6K

Prototypes for automating product system model assembly.

Brandon Kuczenski1, Chris Mutel2, Michael Srocka3

  • 1GDIT, Santa Barbara, CA, USA.

The International Journal of Life Cycle Assessment
|May 21, 2021
PubMed
Summary

Automating the creation of product system models (PSM) from primary data and linking it to background life cycle inventory (LCI) data is now achievable. This study developed complementary software prototypes to advance automated PSM construction for LCA software.

Keywords:
BackgroundForegroundHackathonLinkingProduct system modelSoftware

More Related Videos

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.8K
Interactive Molecular Model Assembly with 3D Printing
06:15

Interactive Molecular Model Assembly with 3D Printing

Published on: August 13, 2020

10.5K

Related Experiment Videos

Last Updated: Nov 5, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.8K
Interactive Molecular Model Assembly with 3D Printing
06:15

Interactive Molecular Model Assembly with 3D Printing

Published on: August 13, 2020

10.5K

Area of Science:

  • Life Cycle Assessment (LCA) Software Development
  • Sustainable Manufacturing and Product Design
  • Environmental Systems Analysis

Background:

  • Increasing availability of Life Cycle Inventory (LCI) data presents challenges in integrating it with primary data.
  • Automating the creation of foreground LCI and linking it to background data is crucial for efficient Product System Model (PSM) construction.
  • Reducing practitioner burden and bias in PSM development is a key objective.

Purpose of the Study:

  • To automate the generation of foreground LCI from primary data (Bill of Materials - BOM).
  • To develop methods for linking foreground LCI data to background LCI datasets.
  • To construct operable Product System Models (PSM) for Life Cycle Assessment (LCA) software.

Main Methods:

  • Commissioned three experienced LCA software developers to independently create software prototypes.
  • Prototypes were designed to convert a confidential product specification (BOM) into a foreground model and link it to background datasets.
  • Comparative testing and evaluation of prototype functionalities with additional product specifications were performed.

Main Results:

  • Three distinct approaches were developed: semantic similarity for dataset matching, flexible model structure for aggregation, and interactive web application for component classification and linking.
  • Each prototype addressed different steps in automated PSM construction, demonstrating complementary functionalities.
  • The developed prototypes advanced the state-of-the-art in LCA software for automated PSM generation.

Conclusions:

  • Automated Product System Model (PSM) construction is a tractable problem, advancing LCA software capabilities.
  • Four key steps in automation were identified: foreground model creation, flow property determination, background data linking, and model output formatting.
  • While automation is advanced, manual input remains necessary, particularly for product flow descriptions sourced from background datasets.