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

482
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...
482
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.6K
2.6K
Open and closed-loop control systems01:17

Open and closed-loop control systems

801
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
801
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.2K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

569
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
569
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

474
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
474

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

Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers.

BMC medical informatics and decision making·2025
Same author

A Tribal data repository to advance Indigenous health and sovereignty.

Nature genetics·2025
Same author

Trustworthy artificial intelligence and organisational trust: a scoping review using socio-technical systems analysis.

Ergonomics·2025
Same author

Forecasting Patient Early Readmission from Irish Hospital Discharge Records Using Conventional Machine Learning Models.

Diagnostics (Basel, Switzerland)·2024
Same author

A systems approach to managing the risk of healthcare acquired infection in an acute hospital setting supported by human factors ergonomics, data science, data governance and AI.

Ergonomics·2024
Same author

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.

Computers in biology and medicine·2023
Same journal

Immune biomarkers, profiles, and responses: a vaccine ontology perspective.

Journal of biomedical semantics·2026
Same journal

A pragmatist approach to bridging tables and ontologies through LinkML and punning.

Journal of biomedical semantics·2026
Same journal

FAIR in practice: minimum metadata schema for bioinformatics analytics by machines.

Journal of biomedical semantics·2026
Same journal

Prenatal monitoring in primary health care: a design science research-based approach to FHIR interoperability.

Journal of biomedical semantics·2026
Same journal

From narrative evidence to computable knowledge: a decision-relevant corpus for medicinal herb-disease relationships.

Journal of biomedical semantics·2026
Same journal

BERTopic-driven term extraction from biomedical texts toward ontology population: evaluating vaccine ontology with Plotkin's vaccines corpus.

Journal of biomedical semantics·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 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

276

对于开放知识提取系统的自动透明度评估.

Maryam Basereh1, Annalina Caputo2, Rob Brennan3

  • 1School of Computing, Dublin City University, Dublin, Ireland. maryam.basereh@adaptcentre.ie.

Journal of biomedical semantics
|August 31, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了Cyrus,这是开放知识提取 (OKE) 系统的透明度评估框架. 赛拉斯量化了OKE系统的透明度,揭示了链接数据质量的差异,并帮助可信的人工智能开发.

关键词:
自动透明度评估自动化透明度评估公平性评估的公平性评估开放知识提取 开放知识提取质量评估 质量评价 质量评价透明度框架 透明度框架

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

618

相关实验视频

Last Updated: Jul 17, 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

276
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

618

科学领域:

  • 人工智能的人工智能
  • 数据科学数据科学数据科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 开放式知识提取 (OKE) 系统对于知识服务至关重要,但往往缺乏透明度,使其流程和结果难以理解.
  • 欧盟强调值得信赖的人工智能 (AI) 以及人工智能系统需要透明度.
  • 现有的透明度模型和相关的数据质量评估是分散的,需要为OKE系统提供统一的框架.

研究的目的:

  • 提出Cyrus,一个专门为开放知识提取 (OKE) 系统设计的新型透明度评估框架.
  • 通过整合来自FAccT,FAIR和链接数据质量研究的观点,提供透明度维度的全面视图.
  • 实现OKE系统的自动化透明度评估,促进比较和改进.

主要方法:

  • 开发了基于最先进的透明度模型和链接数据质量维度的Cyrus框架.
  • 评估了使用Cyrus框架的最先进OKE系统生成的三个链接数据集的透明度.
  • 使用自动化评估,结合公平性评估工具和Luzzu链接数据质量框架来评估Cyrus六个透明度维度.

主要成果:

  • 赛拉斯框架成功评估了三个OKE系统在六个关键维度上的透明度:来源,可解释性,可理解性,许可,可用性和相互连接.
  • 在被评估的OKE系统中,Covid-on-the-Web显示了最高的平均透明度.
  • 在最先进的OKE系统中实现了透明度差异的自动量化.

结论:

  • 塞鲁斯为OKE系统提供了第一个全面的透明度框架,将道德,可信的人工智能和数据质量观点融合在一起.
  • 通过整合现有的公平性和数据质量评估工具,对OKE系统的自动化透明度评估是可行的.
  • 该研究表明,OKE系统的透明度有所不同,可以自动量化,这对可信的人工智能,合规性和系统设计都有影响.