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相关概念视频

Random Sampling Method01:09

Random Sampling Method

11.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

309
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
309
Sampling Plans01:23

Sampling Plans

181
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
181
Cluster Sampling Method01:20

Cluster Sampling Method

11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

214
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
214
Upsampling01:22

Upsampling

230
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
230

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Updated: Jun 26, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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动态采样在自主过程优化中的动态采样

Melodie Christensen1,2, Yuting Xu2, Eugene E Kwan2

  • 1Department of Chemistry, University of British Columbia Vancouver British Columbia V6T 1Z1 Canada jhein@chem.ubc.ca.

Chemical science
|May 17, 2024
PubMed
概括
此摘要是机器生成的。

自主过程优化 (APO) 现在使用批量反应器的动态终点,改善反应监控. 该方法捕获稳定的产品纯度,克服静态采样限制,以更好地控制工艺.

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科学领域:

  • 化学工程是化学工程的重要组成部分.
  • 过程化学 过程化学
  • 自动化 自动化 自动化

背景情况:

  • 自主流程优化 (APO) 越来越多地用于处理过程挑战.
  • 现有的APO方法通常依赖于固定的采样时间,这可能会错过关键反应动态.
  • 由于静态采样限制,高吞吐量批量反应堆对APO提出了独特的挑战.

研究的目的:

  • 在高吞吐量批量反应堆中实施APO的动态反应终点确定策略.
  • 为了解决静态时间点采样在捕获过程性能方面的局限性.
  • 提高APO工作流程的准确性和可靠性.

主要方法:

  • 将实时高原检测算法集成到APO工作流中.
  • 利用基于过程流稳定的动态反应终点确定.
  • 将该策略应用于光反应的自主优化.

主要成果:

  • 对于所需的单化产品,UPLC区域纯度达到了85%.
  • 通过动态确定反应终点,尽量减少产品分解.
  • 量化了个别参数对工艺性能的影响.

结论:

  • 在APO工作流程中采用动态采样可以提高对稳定和高性能流程的优化.
  • 实时平原检测可在动态终点上准确测量产品纯度.
  • 这种方法对于优化复杂的反应是有价值的,例如药物中间体.