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

Model Approaches for Pharmacokinetic Data: Compartment Models

Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...

Noncompartmental Analysis: Mean Residence Time

Noncompartmental Analysis: Mean Residence Time

According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...

You might also read

Related Articles

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

Sort by

Same author

Data set for Gambung green tea aroma using on electronic nose.

BMC research notes·2024

Same author

Poverty prediction using E-commerce dataset and filter-based feature selection approach.

Scientific reports·2024

Same author

Machine learning approach for predicting production delays: a quarry company case study.

Journal of big data·2022

Same author

Electronic nose homogeneous data sets for beef quality classification and microbial population prediction.

BMC research notes·2022

Same author

COL1A1 and FGFR2 Single-Nucleotide Polymorphisms Found in Class II and Class III Skeletal Malocclusions in Javanese Population.

European journal of dentistry·2022

Same author

VIM Line Technique for Determining the Ventral Intermediate Location.

Turkish neurosurgery·2021

Search research articles

Related Experiment Video

Updated: May 10, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Data of dwelling time process at container terminal: Multi-perspective based dataset.

Hanung Nindito Prasetyo^1,2, Riyanarto Sarno¹, Dedy Rahman Wijaya²

¹Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

|September 27, 2024

Summary

This study introduces a new Event Log Dataset for Container Dwelling Time at container terminals. This dataset supports advanced process mining research, including anomaly detection and process enhancement.

Keywords:

Containers Dwelling time dataset Event logs Multi-perspective

More Related Videos

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: May 10, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Process Science
Data Science
Logistics and Supply Chain Management

Background:

Container dwelling time is a critical metric in port operations.
Efficient management of container dwell time is essential for global trade.
Existing systems manage port operations, but data-driven insights are needed.

Purpose of the Study:

To present a novel Event Log Dataset focused on the Container Dwelling Time process.
To facilitate research in process science, particularly process mining and anomaly detection.
To provide a comprehensive dataset including Case_ID, Activities, Timestamp, workers, waiting time, and costs.

Main Methods:

Data collection from a Container Terminal information system over six months.
Extraction and anonymization of three months of event log data for the dwelling time process.
Structuring the dataset with key process mining variables and additional indicators.

Main Results:

A curated Event Log Dataset for Container Dwelling Time is now available.
The dataset is anonymized and ethically sourced.
Includes multi-perspective indicators beyond standard process mining variables.

Conclusions:

The Event Log Dataset is valuable for researchers in Process Science and Process Mining.
It enables the development of new methods for process discovery, conformance checking, and enhancement.
Facilitates research into process anomaly detection within container terminals.