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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

211
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
211
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

6.9K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
6.9K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

232
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
232
Drug Distribution: Overview01:11

Drug Distribution: Overview

631
Drug distribution within the body is a dynamic process involving the movement of a drug in two directions across various compartments: from the bloodstream into tissues (tissue uptake) and from tissues back into the bloodstream (tissue release or redistribution). This process is passive and primarily driven by two variables: the concentration gradient between the bloodstream and the extravascular tissues and the drug's ability to cross the cell membrane.
Initially, the free drug in the...
631
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

227
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
227
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

632
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
632

You might also read

Related Articles

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

Sort by
Same author

Molecularly Engineered DBC-Pyrene Hole Transport Material Achieves Dual Passivation-Transport Functionality for Efficient and Robust Perovskite Solar Cells.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Inclusiveness of social participation for health reform: findings from a realist review.

International journal for equity in health·2026
Same author

The Role of Non-Pharmacological Interventions in Attenuating Anxiety and Stress Symptoms in PTSD: A Systematic Review.

Current neuropharmacology·2026
Same author

Synthesis, characterisation, computational study, amelioration of ruthenium kesar nanoparticle, antioxidant and glycolytic enzyme activity alterations in cirrhotic liver extract.

Scientific reports·2026
Same author

Attitude of medical and nursing students towards lesbian, gay, bisexual and transgender people: A cross-sectional study.

The National medical journal of India·2026
Same author

Correction: Ambipolar macrocycle derived from spiro-xanthene and carbazole: synthesis, structure-property relationships, electronic properties and host-guest investigation.

Chemical communications (Cambridge, England)·2025

Related Experiment Video

Updated: Jan 3, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.7K

Distribution network model using big data in an international environment.

Shraddha Mishra1, Surya Prakash Singh1

  • 1Department of Management Studies, Indian Institute of Technology Delhi, India.

The Science of the Total Environment
|November 28, 2019
PubMed
Summary

This study introduces a dynamic mixed integer facility location model for designing international manufacturing networks (IMN). It optimizes global production and distribution by considering country-specific costs and big data parameters for strategic decision-making.

Keywords:
Big dataDistribution networkFacility locationImport export costMixed integer linear programming

Related Experiment Videos

Last Updated: Jan 3, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.7K

Area of Science:

  • Operations Research
  • Supply Chain Management
  • Industrial Engineering

Background:

  • Traditional manufacturing models lack country-specific analysis for international networks.
  • Designing global production and distribution requires integrated cost and operational considerations.
  • Big Data's 3Vs (Volume, Velocity, Variety) impact international manufacturing network (IMN) design.

Purpose of the Study:

  • To propose a dynamic mixed integer facility location model for international manufacturing network (IMN) design.
  • To enable country-specific strategic planning within a global manufacturing ecosystem.
  • To optimize facility locations and production distribution to meet global demand.

Main Methods:

  • Development of a dynamic mixed integer facility location model.
  • Inclusion of country-specific factors: import/export costs, loan subsidies, depreciation, and operating expenses.
  • Mapping model parameters using the 3Vs of Big Data: Volume, Velocity, and Variety.
  • Computational testing with two illustrative cases.

Main Results:

  • The model identifies optimal international facility locations and production distribution strategies.
  • Country-specific analysis provides enhanced decision-making for global manufacturing networks.
  • Demonstrated computational validity through case studies.

Conclusions:

  • The proposed dynamic mixed integer model effectively designs international manufacturing networks (IMN).
  • The model's country-specific approach enhances strategic planning for global operations.
  • Integration of Big Data parameters offers a robust framework for modern supply chain design.