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Related Concept Videos

Multimachine Stability01:25

Multimachine Stability

229
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
229
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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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...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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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...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

329
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
329
Production Efficiency01:01

Production Efficiency

17.0K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Related Experiment Video

Updated: Sep 12, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Efficiency Analysis Based on Two-Stage Undesirable Dynamic SBM Model.

Sin Lee1, Yung-Ho Chiu2

  • 1Institute of Technology Management, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Road, East District, Hsinchu, 300044, Taiwan.

Ecohealth
|August 9, 2025
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Summary

This study introduces a new model to assess air pollution

Keywords:
AQIAir pollutionefficiencyenvironment efficiencyhealth and well-beingtwo-stage undesirable dynamic SBM model

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Area of Science:

  • Environmental Health
  • Public Health
  • Epidemiology

Background:

  • Smoking is a known lung cancer risk factor, but air pollution's impact is understudied, especially in Asia.
  • Existing research on pollution and lung cancer often uses outdated static models.
  • Limited studies evaluate the efficiency of pollution control concerning lung cancer in Asian regions.

Purpose of the Study:

  • To analyze the efficiency relationship between air pollution and lung cancer using a novel dynamic model.
  • To evaluate
  • production and environment efficiency
  • and
  • life health and well-being efficiency
  • in Taiwan.
  • To address the research gap on pollution-related lung cancer efficiency in Asia.

Main Methods:

  • Application of a Two-stage Undesirable Dynamic Slack-Based Model (SBM).
  • Utilized 22 counties and cities in Taiwan as Decision Making Units (DMUs).
  • Systematic evaluation of two distinct efficiency stages.

Main Results:

  • The study provides the first efficiency analysis of air pollution and lung cancer in Taiwan using a dynamic SBM.
  • Identified efficiency variations across different regions concerning pollution and lung cancer.
  • Established an analytical framework for policy relevance.

Conclusions:

  • The novel dynamic model offers a robust method for assessing pollution-environment-health linkages.
  • Empirical evidence supports targeted government interventions for precision health.
  • Findings contribute to achieving Sustainable Development Goals (SDG 3 and SDG 11).