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

Force Classification01:22

Force Classification

1.7K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.7K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
152
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

550
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...
550
Masking and Demasking Agents01:19

Masking and Demasking Agents

2.7K
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...
2.7K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.6K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.6K
Functional Classification of Joints01:09

Functional Classification of Joints

5.0K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
5.0K

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

Myocardia-Injected Synergistically Anti-Apoptotic and Anti-Inflammatory Poly(amino acid) Hydrogel Relieves Ischemia-Reperfusion Injury.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Phosphorylation of PA at serine 225 enhances viral fitness of the highly pathogenic H5N1 avian influenza virus in mice.

Veterinary microbiology·2025
Same author

Comprehensive Analysis of Immune Characteristics of Fluorosis and Cuprotosis-Related Genes in Fluorosis Targeted Drugs.

Biological trace element research·2025
Same author

FOXM1 promotes malignant biological behavior and metabolic reprogramming by targeting SPINK1 in hepatocellular carcinoma and affecting the p53 pathway.

Biochimica et biophysica acta. Molecular basis of disease·2025
Same author

MXene/Ag-Based Zwitterionic Double-Network Hydrogels with Enhanced Mechanical Strength and Antifouling Performances.

ACS applied materials & interfaces·2025
Same author

Identification and validation of Atp5f1c in CD4<sup>+</sup> T cell as a hub protein in Parkinson's disease.

International journal of biological macromolecules·2025

相关实验视频

Updated: Sep 18, 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

594

基于证据的多功能融合为对手的稳定性提供了证据.

Zheng Wang, Xing Xu, Lei Zhu

    IEEE transactions on pattern analysis and machine intelligence
    |June 23, 2025
    PubMed
    概括

    本研究介绍了基于证据的多功能融合 (EMFF) 以提高深度神经网络 (DNN) 的对抗性. 欧洲货币基金组织量化了功能可信度,防止依赖单一操纵的功能,以改善对攻击的防御.

    科学领域:

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 深度神经网络 (DNN) 由于特征空间干扰,容易受到敌对攻击.
    • 现有的防御侧重于否定或重新校准特征,但未充分探索特征可信度.
    • 依赖单一的,可能被污染的特征阻碍了DNN的稳定性.

    研究的目的:

    • 提出一种新的方法来量化DNN中的特征可靠性.
    • 通过融合多个网络块的可靠功能来增强对抗性稳定性.
    • 提高DNN对白盒和黑盒对抗性攻击的弹性.

    主要方法:

    • 引入基于证据的多功能融合 (EMFF) 以实现对抗性稳定性.
    • 使用证据深度学习来量化特征的信念量和不确定性.
    • 采用Dempster的规则在跨网络块的可信特征的证据融合.

    主要成果:

    • 在对抗性强度方面,EMFF在现有防御技术上表现出显著的优势.
    • 该方法证明对白盒和黑盒攻击场景都有效.
    • 与对抗性训练策略的整合提高了各种架构的稳定性,包括CNN和视觉转换器.

    相关实验视频

    Last Updated: Sep 18, 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

    594

    结论:

    • 通过可靠地融合值得信赖的特征,EMFF提高了DNN的对抗性稳定性.
    • 该方法提供了一个具有成本效益的解决方案,参数增加最小.
    • 有证据的深度学习为在对抗性环境中评估特征可靠性提供了强大的框架.