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

Specific Gravity of Aggregate01:19

Specific Gravity of Aggregate

219
Aggregates typically contain pores, which can be either permeable or impermeable. Considering the pores in the aggregates, the specific gravity of aggregates is defined in three different forms, namely, bulk or gross specific gravity, apparent specific gravity, and absolute specific gravity.
Bulk or gross specific gravity is calculated by taking the ratio of the mass of aggregates in the saturated surface-dry state to the total volume that includes both the solids and the voids within the...
219

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

Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease.

CNS neuroscience & therapeutics·2026
Same author

Safety and hemodynamic efficacy of the LVIS stent in the endovascular treatment of intracranial wide-necked aneurysms: a single-center retrospective study.

Chinese neurosurgical journal·2026
Same author

Audiological Characteristics and Postoperative Hearing Preservation of Vestibular Schwannoma Presenting With Sudden Hearing Loss.

World neurosurgery·2026
Same author

6-PPD quinone reduces lifespan by activating a feedback loop between cholesterol transformation related signal and insulin signaling in Caenorhabditis elegans.

Journal of environmental sciences (China)·2026
Same author

Unveiling the Effect of Salt on Methane Hydrate Dissociation Kinetics under Strong Thermal Perturbation.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Emerging Plastic-Derived Soil Contaminant AO168═O Impairs Nematode Development and Lifespan at Environmentally Relevant Concentrations.

Environmental science & technology·2026

相关实验视频

Updated: May 29, 2025

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent
11:14

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Published on: February 21, 2017

12.3K

在粉碎花岩上开发基于机器学习的吸附分布系数的预测模型.

Funing Ma1, Zhenxue Dai2, Fangfei Cai3

  • 1School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, 266520, China.

Journal of environmental radioactivity
|February 5, 2025
PubMed
概括

机器学习模型准确地预测了花岩上的吸附,这对于放射性废物处理安全至关重要. XGBoost表现最好,识别了影响放射性核素行为的关键因素.

关键词:
是一种.分布系数 分布系数石英花岩是一种花岩.机器学习是机器学习.在XGBoost中使用.

更多相关视频

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.
07:32

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.

Published on: June 4, 2021

5.1K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K

相关实验视频

Last Updated: May 29, 2025

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent
11:14

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Published on: February 21, 2017

12.3K
Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.
07:32

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.

Published on: June 4, 2021

5.1K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K

科学领域:

  • 地质化学 地质化学
  • 环境科学 环境科学
  • 材料科学 材料科学 材料科学

背景情况:

  • 花岩的放射性核化物吸附对于高水平放射性废物 (HLW) 地质处置安全评估至关重要.
  • 在不同的实验条件下,花岩的吸附特性显示出显著的变化.
  • 评估吸附的传统实验方法耗时且昂贵.

研究的目的:

  • 开发一种高效的,数据驱动的机器学习 (ML) 方法,用于预测 (Cs) 吸附分布系数在碎花岩上.
  • 为了减少与传统实验性吸附研究相关的时间和成本.
  • 确定影响花岩上Cs吸附的关键因素.

主要方法:

  • 使用了四个ML算法:AdaBoost,GBDT,LightGBM,以及XGBoost.
  • 在384个实验数据点的数据集上训练模型.
  • 采用SHAP分析来解释模型预测和特征的重要性.

主要成果:

  • 所有的ML模型都在训练和测试数据集中实现了大于0.8的R平方值.
  • XGBoost 展示了卓越的预测性能和概括能力.
  • 影响Cs吸附的关键特征被排列:固体/液体比,离子强度,pH,接触时间,初始度和最大颗粒大小.

结论:

  • 开发的ML方法有效地预测了花岩上的放射性核素吸附,补充了资源密集型实验.
  • SHAP分析揭示了与实验观测相一致的吸附机制.
  • 这种数据驱动的方法通过提供有关放射性核体行为的见解,增强了高低压地质处置的安全评估.