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相关概念视频

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area vector...
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...
Lagrange Multipliers: Problem Solving01:30

Lagrange Multipliers: Problem Solving

A silo with a cylindrical base, flat bottom, and hemispherical roof is a common design in agricultural and industrial storage due to its structural efficiency and ease of construction. Optimizing its dimensions to maximize storage capacity for a given amount of material—i.e., a fixed surface area—is a classic problem in applied calculus and engineering design. The key parameters are the radius r of the base and the height h of the cylindrical section.The total volume of the silo is obtained by...

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相关实验视频

Updated: Jun 28, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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纠正"大鼠算法 (GCRA):用于优化问题的自然启发的元启发方法" [Heliyon第10卷,第11期,2024年6月,第31629条]

Jeffrey O Agushaka1, Absalom E Ezugwu2, Apu K Saha3

  • 1Department of Computer Science, Federal University of Lafia, Lafia, 950101, Nigeria.

Heliyon
|December 15, 2025
PubMed
概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保准确的引用和检索科学文献的研究结果.

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11:53

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

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科学领域:

  • 图书统计学 图书统计学
  • 科学出版科学出版
  • 研究诚信研究诚信

背景情况:

  • 准确的引用对于科学文献至关重要.
  • 数字物体识别器 (DOI) 确保可靠的研究访问.
  • 在DOI中的错误可能会阻碍科学交流和可复制性.

研究的目的:

  • 纠正一个错误的数字物体标识符 (DOI) 发表的文章.
  • 确保科学记录的完整性和可访问性.
  • 为了促进研究的准确引用和检索.

主要方法:

  • 在原始出版物中错误的DOI的识别.
  • 通过出版商记录验证正确的DOI.
  • 发布纠正通知以更新科学记录.

主要成果:

  • 错误的DOI已被确定并纠正.
  • 正确的DOI现在与该文章相关联.
  • 这确保了正确的引用和对研究的访问.

结论:

  • 对DOI的纠正提高了科学记录的可靠性.
  • 准确的元数据对于有效的学术交流至关重要.
  • 保持研究完整性是科学出版的一个关键方面.