Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.4K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

56
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...
56
Decision Making01:20

Decision Making

112
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
112
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

381
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
381
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

82
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
82

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Experimental and ALO-optimized machine learning interpretable models for pharmaceutical adsorption onto raw bentonite.

Environmental geochemistry and health·2026
Same author

Interpretable Yield Prediction of Supercritical CO<sub>2</sub> Extraction from Various Essential Oil Sources Using Optimized Machine Learning and PCA-Based Descriptors.

Journal of chemical information and modeling·2025
Same author

Predicting adsorption capacities of pharmaceutical pollutants using chemoinformatics and machine learning techniques.

Environmental geochemistry and health·2025
Same author

Chemical Composition of <i>Mentha pulegium</i> and its Contributions to Antimicrobial, Antioxidant, and Insecticidal Activities: Insights from In Vitro and Molecular Docking Studies.

ACS omega·2025
Same author

QSPR modeling to predict the Partition Coefficient (logP) of psychoanaleptic drugs using ARKA descriptors.

Journal of molecular graphics & modelling·2025
Same author

Predicting the anticancer activity of indole derivatives: A novel GP-tree-based QSAR model optimized by ALO with insights from molecular docking and decision-making methods.

Computers in biology and medicine·2025

相关实验视频

Updated: Jul 7, 2025

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 9, 2012

13.0K

在使用多目标优化算法和不同决策方法的BIGEL配方中平衡竞争目标.

Mohamed Kouider Amar1, Soufiane Rahal2, Maamar Laidi3

  • 1Biomaterials and Transport Phenomena Laboratory (LBMPT), University Dr., Yahia Fares of Medea, Medea 26000, Algeria; Department of Process Engineering, Institute of Technology, University Dr., Yahia Fares of Medea, Medea 26000, Algeria; Laboratory of Quality Control, Physico-Chemical Department, SAIDAL of Medea, Medea 26000, Algeria; Faculty of Technology, University Dr., Yahia Fares of Medea, Medea 26000, Algeria.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
|December 20, 2023
PubMed
概括

这项研究使用多目标优化 (MaOEAs) 优化了BIGEL系统,以平衡微观结构特征,稳定性和药物释放等冲突性质. 通过RSM-RVEA的方法,在复杂的配方挑战中表现出有效的趋同.

关键词:
贝格尔斯·比格尔斯 (Bigels Bigels) 是一个大公司.决策方法 决策方法药物交付是药物交付的过程.多目标优化算法 多目标优化算法响应表面方法 响应表面方法类风病学 类风病学 类风病学

更多相关视频

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.6K

相关实验视频

Last Updated: Jul 7, 2025

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 9, 2012

13.0K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.6K

科学领域:

  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 制药科学 制药科学

背景情况:

  • 比格尔系统对于药物输送至关重要,需要优化多种属性,如风湿学,稳定性和药物释放.
  • 由于复杂的成分相互作用,在比格尔配方中平衡竞争目标存在重大挑战.

研究的目的:

  • 探索进化算法,以优化微结构,学,稳定性和药物释放性质的BIGEL系统.
  • 通过使用多目标优化 (MaOEAs) 技术来解决 Bigel 配方中的冲突目标.
  • 开发一个强大的框架,以妥协药物输送应用的Bigel性能和稳定性.

主要方法:

  • 使用结构化杏仁油,混合器官凝固剂和碳聚合物,制备大贝尔系统.
  • 显微结构,质,稳定性和药物释放性质的表征.
  • 响应表面方法的应用与多目标进化算法 (RSM-MaOEAs) 和决策方法 (WSM,WPM,NED) 相结合.

主要成果:

  • 比格尔表现出非牛顿式剪切稀释和粗变型行为,受助剂比例的影响.
  • 在压力下高度缩的大豆中发生了相分离;较低粘度的大豆显示药物释放减少.
  • FT-IR和HPLC证实了药物辅助剂兼容性和配方稳定性,杂质最小 (<4%).

结论:

  • 基于脂质的比格尔的复杂相互作用需要MaOEA来有效优化.
  • RSM-RVEA方法在优化冲突的比格尔属性方面显示出卓越的融合.
  • 拟议的RSM-MaOEAs框架为BIGEL配方提供了一个强大的解决方案,适用于先进的药物输送系统.