Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

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

Mechanistic Models: Compartment Models in Individual and Population Analysis

359
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...
359
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

333
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...
333
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

386
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
386
Multiple Pipe Systems01:21

Multiple Pipe Systems

1.2K
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
1.2K
Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

1.5K
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
1.5K
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
70

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

High Hydrostatic Pressure Inducible Trimethylamine <i>N</i>-Oxide Reductase Improves the Pressure Tolerance of Piezosensitive Bacteria <i>Vibrio fluvialis</i>.

Frontiers in microbiology·2018
Same author

Protective role of melatonin in cardiac ischemia-reperfusion injury: From pathogenesis to targeted therapy.

Journal of pineal research·2018
Same author

Poly(Lactide-Co-Glycolide)-Monomethoxy-Poly-(Polyethylene Glycol) Nanoparticles Loaded with Melatonin Protect Adipose-Derived Stem Cells Transplanted in Infarcted Heart Tissue.

Stem cells (Dayton, Ohio)·2018
Same author

Empagliflozin rescues diabetic myocardial microvascular injury via AMPK-mediated inhibition of mitochondrial fission.

Redox biology·2018
Same author

Preparation of Starch-Hard Carbon Spherules from Ginkgo Seeds and Their Phenol-Adsorption Characteristics.

Molecules (Basel, Switzerland)·2018
Same author

ATM Signaling Pathway Is Implicated in the SMYD3-mediated Proliferation and Migration of Gastric Cancer Cells.

Journal of gastric cancer·2018

関連する実験動画

Updated: May 4, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

12.6K

タイムリンクの不確実性のある排水処理プロセスの分布予測ベースの堅牢な多目的最適化

Honggui Han, Hao Zhou, Yanting Huang

    IEEE transactions on cybernetics
    |February 19, 2026
    PubMed
    まとめ

    この研究では,廃水処理プロセスの新しいアルゴリズムを導入し,運用の安定性を高めます. 分配予測ベースの堅実な多目的最適化 (DP-RMO) アルゴリズムは,時間に関連した不確実性を効果的に管理し,排水質を改善し,コストを削減します.

    科学分野:

    • 環境工学環境工学とは
    • オプティマイゼーション テクニック

    背景:

    • 廃棄水処理プロセス (WWTP) は,不確実性のために運用上の課題に直面しています.
    • 連続したWWTP段階におけるタイムリンクの不確実性は,堅実な最適化を複雑にします.

    研究 の 目的:

    • 分布予測ベースの堅牢な多目的最適化 (DP-RMO) アルゴリズムを提案する.
    • 堅固な最適なセットポイントを得ることによって,WWTPの動作安定性を高める.
    • 排水質 (EQ) と運用コスト (OC) の時間関連不確実性を解決する.

    主な方法:

    • 適応的なカーネルの機能を使用して,堅牢な多目的最適化 (MOO) 目標を確立しました.
    • タイムリンクの不確実性を捉えるために,ガウスプロセス (GP) ベースのデータ駆動予測器を開発しました.
    • 頑丈な客観的な機能を最適化するために自己調整の進化的戦略を実装しました.

    主要な成果:

    • DP-RMOアルゴリズムは,タイムリンクの不確実性の悪影響を効果的に軽減します.
    • DP-RMOで得られた最適なセットポイントは,EQとOCの改善を示した.
    • 頑丈性パフォーマンスは維持され,同時にEQとOCを向上させました.

    さらに関連する動画

    Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
    10:37

    Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

    Published on: April 9, 2016

    8.6K
    Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
    08:24

    Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

    Published on: May 2, 2025

    1.2K

    関連する実験動画

    Last Updated: May 4, 2026

    Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
    11:53

    Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

    Published on: December 10, 2012

    12.6K
    Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
    10:37

    Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

    Published on: April 9, 2016

    8.6K
    Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
    08:24

    Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

    Published on: May 2, 2025

    1.2K

    結論:

    • DP-RMOは,WWTPにおける複雑な不確実性を管理するための堅牢なソリューションを提供します.
    • アルゴリズムは,廃水処理の運用安定性と経済効率を高めています.
    • DP-RMOは,WWTPのダイナミックな最適化のための実行可能なアプローチを提供します.