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Updated: Jul 13, 2025

A Method to Preserve Wetland Roots and Rhizospheres for Elemental Imaging
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在大米中减轻的来源:基于机器学习的预测建模和风险评估

Rubina Khanam1, Amaresh Kumar Nayak2, Pedda Ghouse Peera Sheikh Kulsum3

  • 1ICAR-Crop Production Division, National Rice Research Institute, 753006, Cuttack, Odisha, India.

Environmental science and pollution research international
|October 18, 2023
PubMed
概括

草堆肥和溶解的细菌有效地减少了米粒中的 (As),降低了饮食暴露的风险. 这一发现对于减轻南亚人口消费的中的毒性至关重要.

关键词:
亚是一种.人类暴露的人类暴露.机器学习 机器学习随机森林模型是一个随机森林模型.大米 大米 大米 大米 大米是一种,是一种.

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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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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