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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

13.9K
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...
13.9K
RNA-seq03:21

RNA-seq

11.7K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

240
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
240
Distance Measurements by Taping01:18

Distance Measurements by Taping

382
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
382
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

462
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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相关实验视频

Updated: Jan 7, 2026

Identifying Mutations by High Resolution Melting in a TILLING Population of Rice
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Identifying Mutations by High Resolution Melting in a TILLING Population of Rice

Published on: September 2, 2019

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将机器学习与聚类触发的排放相结合,以追踪大米的地理来源.

Hanyu Deng1, Peisheng Cao2, Qian Chen2

  • 1College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.

Analytical chemistry
|December 25, 2025
PubMed
概括

这项研究结合了聚类触发发射 (CTE) 和人工神经网络 (ANN),以准确识别大米.

科学领域:

  • 分析化学 分析化学
  • 食品科学 食品科学 食品科学
  • 机器学习 机器学习

背景情况:

  • 对食品安全和消费者保护而言,大米的地理原产地追踪至关重要.
  • 米排放特性存在微妙差异,但直接检测起来具有挑战性.
  • 机器学习 (ML) 为分析这些微小变化提供了一个潜在的解决方案.

研究的目的:

  • 开发和验证一种用于确定大米的地理来源的新方法.
  • 探索结合集群触发发射 (CTE) 与机器学习模型的有效性.
  • 评估拟议方法的准确性和普遍性.

主要方法:

  • 来自不同来源的样品使用聚类触发发射 (CTE) 进行分析,以获得光和光数据.
  • 发射特性 (波长和寿命) 被用作机器学习模型的特征.
  • 人工神经网络 (ANN) 被训练并测试了分类准确性.

主要成果:

  • 人工神经网络 (ANN) 在评估的ML模型中表现优越.
  • 结合CTE + ANN方法在一组测试大米样本上实现了96.4%的分类准确性.
  • 该模型显示,未知大米样本的识别准确率为84.6%,并扩展到小麦.

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Real-Time Detection of Reactive Oxygen Species Production in Immune Response in Rice with a Chemiluminescence Assay
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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相关实验视频

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Real-Time Detection of Reactive Oxygen Species Production in Immune Response in Rice with a Chemiluminescence Assay

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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结论:

  • 整合CTE和ANN提供了一个强大的方法来追踪大米的地理来源.
  • 这种方法有效地利用微妙的排放特性差异进行准确的识别.
  • CTE + ANN 方法在其他农产品 (如小麦) 中的应用是有前途的.