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Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

338
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
338
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

250
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
250
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

502
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
502
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

362
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...
362
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.9K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.9K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

526
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...
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Updated: Jan 18, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
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Exploring MQTT Broker-Based, End-to-End Models for Security and Efficiency.

Hung-Yu Chien1, An-Tong Shih2, Yuh-Ming Huang2

  • 1Department of Information Management, National Chinan University, Nantou County 54561, Taiwan.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
Summary
This summary is machine-generated.

This study addresses MQTT security by proposing efficient end-to-end (E2E) encryption solutions. New methods improve performance and privacy against curious brokers without double encryption.

Keywords:
ECDHMQTTMosquittoend to endenhanced authentication

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Area of Science:

  • Computer Science
  • Network Security
  • Cryptography

Background:

  • MQTT uses a publisher-broker-subscriber model, where brokers can access message content.
  • End-to-end (E2E) encryption protects privacy from brokers but faces efficiency challenges.
  • Conventional E2E MQTT models suffer from double encryption and high overhead.

Purpose of the Study:

  • To identify weaknesses in current MQTT E2E security models.
  • To propose novel, efficient solutions for secure MQTT communication.
  • To enhance privacy and performance in MQTT broker-based systems.

Main Methods:

  • Analysis of conventional MQTT E2E encryption vulnerabilities.
  • Development and implementation of new security schemes.
  • Security analysis and formal proofs for proposed solutions.
  • Experimental evaluation in simulated network environments.

Main Results:

  • Identified double-encryption and overhead as key issues in MQTT E2E security.
  • Proposed group key-based and integrity-only approaches.
  • Implemented and tested the proposed security schemes.
  • Demonstrated improved efficiency and preserved security.

Conclusions:

  • The group key-based approach enhances MQTT security and efficiency.
  • The client-broker-channel integrity-only approach offers a viable alternative.
  • Both methods effectively address privacy concerns with curious MQTT brokers.