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

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

Targeted DNA triplex-forming oligonucleotide liposome for pulmonary fibrosis gene therapy.

Cell reports. Medicine·2026
Same author

Ferrosome Organelles Spatially Insulate a Redox-Active Ferrous Phosphate Biomineral from Cytosolic ROS Chemistry.

bioRxiv : the preprint server for biology·2026
Same author

PPARδ in neurological diseases: Mechanisms and therapeutic prospects.

Neurobiology of disease·2026
Same author

Case Report: A rare case of over 45 years' survival in a patient with tonsillar adenoid cystic carcinoma.

Frontiers in oncology·2026
Same author

Spatial variations and risk factors of multimorbidity in China: A population-based spatial modelling study.

American journal of preventive medicine·2026
Same author

Improving δ<sup>13</sup>C Measurement Accuracy of Off-Axis Integrated Cavity Output Spectroscopy with a Weighted Feedforward Neural Network.

Analytical chemistry·2026
Same journal

Performance Management Counters from Live 5G, 4G and 2G Radio Access Network.

Scientific data·2026
Same journal

Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon.

Scientific data·2026
Same journal

A chromosome-level reference genome assembly of the King Ratsnake (Elaphe carinata).

Scientific data·2026
Same journal

A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults.

Scientific data·2026
Same journal

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same journal

A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.

Scientific data·2026
查看所有相关文章

相关实验视频

Updated: Jul 4, 2025

The Evolution of Silica Nanoparticle-polyester Coatings on Surfaces Exposed to Sunlight
10:27

The Evolution of Silica Nanoparticle-polyester Coatings on Surfaces Exposed to Sunlight

Published on: October 11, 2016

9.6K

自动生成的数据集:当前和潜在的自我清洁涂层材料

Shaozhou Wang1,2, Yuwei Wan2,3, Ning Song4

  • 1School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Kensington, NSW, Australia.

Scientific data
|January 31, 2024
PubMed
概括
此摘要是机器生成的。

研究人员利用自然语言处理 (NLP) 来从广泛的科学文献中创建自清洁涂层材料的数据集. 这种资源有助于开发先进的涂料和发现新材料.

更多相关视频

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
TiO2-coated Hollow Glass Microspheres with Superhydrophobic and High IR-reflective Properties Synthesized by a Soft-chemistry Method
07:37

TiO2-coated Hollow Glass Microspheres with Superhydrophobic and High IR-reflective Properties Synthesized by a Soft-chemistry Method

Published on: April 26, 2017

10.1K

相关实验视频

Last Updated: Jul 4, 2025

The Evolution of Silica Nanoparticle-polyester Coatings on Surfaces Exposed to Sunlight
10:27

The Evolution of Silica Nanoparticle-polyester Coatings on Surfaces Exposed to Sunlight

Published on: October 11, 2016

9.6K
Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
TiO2-coated Hollow Glass Microspheres with Superhydrophobic and High IR-reflective Properties Synthesized by a Soft-chemistry Method
07:37

TiO2-coated Hollow Glass Microspheres with Superhydrophobic and High IR-reflective Properties Synthesized by a Soft-chemistry Method

Published on: April 26, 2017

10.1K

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 环境科学 环境科学

背景情况:

  • 城市化和污染需要持久的户外表面.
  • 自清洁涂层提高了材料的寿命,并减少了维护.
  • 系统的研究方法可以加速自我清洁涂层的开发.

研究的目的:

  • 为了生成关于自清洁涂层材料的开源数据集.
  • 利用自然语言处理 (NLP) 来从科学文献中提取数据.
  • 为机器学习驱动的材料发现提供基础.

主要方法:

  • 应用NLP策略来分析39,011篇多学科研究论文.
  • 编译基于函数和基于属性的 corpora,用于自清洁应用.
  • 结构化数据集分为四种格式:材料统计,字典,财产测量和情绪分析.

主要成果:

  • 创建了关于自清洁涂层材料的全面数据集.
  • 数据包括材料的频率,性能和稳定性/耐久性情绪.
  • 数据集以多种格式提供,以满足各种研究需求.

结论:

  • 创建的数据集作为一种有价值的基于文献的资源,用于自清洁涂料的开发.
  • 这些数据有助于通过机器学习方法进行材料发现和预测.
  • 这项工作促进了先进材料的系统数据驱动研究.