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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

526
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
526
Masking and Demasking Agents01:19

Masking and Demasking Agents

2.6K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.6K
Bullying02:04

Bullying

8.5K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.5K

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

CRM-1 Aggravates Stroke Injury by Promoting BANF1-Mediated Unfolded Protein Response Through Inducing Nuclear Export of ALKBH5.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

Correction: EGCG regulates the cross-talk between JWA and topoisomerase IIα in non-small-cell lung cancer (NSCLC) cells.

Scientific reports·2026
Same author

Distinct ATRX functions cooperate with 9-1-1 and CST complexes to safeguard replication and telomere integrity.

Nature structural & molecular biology·2026
Same author

Functional electrical stimulation for unilateral spatial neglect after stroke: A retrospective cohort study.

The Journal of international medical research·2026
Same author

Genetic Correlation of miR-423 Polymorphism rs8067576 with Progression and Prognosis of Triple-Negative Breast Cancer.

Breast cancer (Dove Medical Press)·2026
Same author

Efficacy of ChatGPT in personalized glucose-lowering strategy development: a clinician-based comparative study.

Frontiers in endocrinology·2026

相关实验视频

Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570

基于特征交互和少数镜头学习的网络攻击事件和参数提取

Yue Han1, Weihong Han2, Aiping Li3

  • 1College of Computer Science and Technology, National University of Defense Technology, Changsha, 410073, China.

Scientific reports
|August 28, 2025
PubMed
概括

这项研究引入了一种新的网络威胁情报 (CTI) 提取方法,提高了网络安全事件分析的准确性. 这种方法提高了效率,特别是在数据有限的情况下.

关键词:
网络威胁情报获取信息知识图表名称实体的认可

相关实验视频

Last Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570

科学领域:

  • 网络安全
  • 人工智能
  • 数据科学

背景情况:

  • 网络威胁情报 (CTI) 对于分析网络攻击和漏洞至关重要.
  • 目前的深度学习方法难以应对CTI的复杂性和数据稀缺性.
  • 缺少大型注释体阻碍了大型语言模型 (LLM) 的直接应用.

研究的目的:

  • 提高CTI信息提取的效率.
  • 应对CTI数据的复杂性和数据稀缺性的挑战.
  • 提高网络安全事件提取方法的性能.

主要方法:

  • 提出了网络攻击特征交互信息提取 (CAFIIE) 方法.
  • 实现多层浅功能交互以捕捉潜在威胁实体特征.
  • 微调了CAFIIE模型,使用数据有限的场景进行几次学习.

主要成果:

  • CAFIIE有效地捕捉了CTI威胁实体互动中的潜在深层特征.
  • 该方法表现出卓越的准确性和F1分数性能.
  • CAFIIE显示了CTI功能利用效率的提高.

结论:

  • CAFIIE方法在CTI信息提取方面取得了显著的进步.
  • 这使得CAFIIE适用于数据有限的网络安全环境.
  • 在多个数据集上,CAFIIE的性能优于现有的基线方法.