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

Interval Level of Measurement00:55

Interval Level of Measurement

19.8K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
19.8K
Prediction Intervals01:03

Prediction Intervals

3.5K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.5K
Norton's Theorem01:14

Norton's Theorem

1.7K
Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the one depicted...
1.7K
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

1.1K
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
1.1K
Critical Numbers and the Closed Interval Method01:21

Critical Numbers and the Closed Interval Method

124
Understanding the maximum and minimum values of a function is essential for analyzing its overall behavior. These values, often referred to as extrema, provide insight into how a function behaves across its domain. In mathematical terms, extrema can be either local—representing peaks and valleys within a limited region—or absolute, indicating the highest or lowest points over an entire interval.A function’s extrema occur at critical numbers, which are values in the domain...
124
The Intermediate Value Theorem01:25

The Intermediate Value Theorem

369
The Intermediate Value Theorem is a foundational result in calculus that guarantees the existence of solutions within certain intervals for continuous functions. Formally, the Intermediate Value Theorem states that if a function f is continuous on the closed interval [a, b], and if N is any value between f(a) and f(b), then there exists at least one c ∈ (a, b) such that f(c) = N. This theorem is instrumental in proving the existence of roots and in analyzing the behavior of continuous...
369

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

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same author

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same author

Comprehensive Bioinformatic Characterization of CD70, CD80, and TIGIT as Diagnostic, Prognostic, and Immune Biomarkers in Pan-Cancer.

Current issues in molecular biology·2026
Same author

The cumulative impact of passenger mutations on cancer development.

Nature communications·2026
Same author

Factors Associated with Stage at Diagnosis in Pancreatic Cancer: Implications for Precision Screening and Early Detection.

Biomedicines·2026
Same author

Characterization of Hairpin Loops and Cruciforms Across 118,019 Genomes Spanning the Tree of Life.

Genome biology and evolution·2026
Same journal

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data.

ArXiv·2026
Same journal

Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.

ArXiv·2026
Same journal

Characterizing Universal Object Representations Across Vision Models.

ArXiv·2026
Same journal

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

ArXiv·2026
Same journal

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026
Same journal

The Origin of Life in the Light of Evolution.

ArXiv·2026
查看所有相关文章

相关实验视频

Updated: Jun 29, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

BEDCrypt:使用同态加密的隐私保护间隔分析.

Kimon Antonios Provatas, Ilias Georgakopoulos-Soares

    ArXiv
    |March 11, 2026
    PubMed
    概括
    此摘要是机器生成的。

    在分析过程中,BEDCrypt使用同态加密来保护敏感的基因组数据. 这种保护隐私的系统可以实现安全间隔分析,而不会将数据泄露给第三方服务器.

    更多相关视频

    Home-Based EEG Hyperscanning for Infant-Caregiver Social Interactions
    08:08

    Home-Based EEG Hyperscanning for Infant-Caregiver Social Interactions

    Published on: May 31, 2024

    相关实验视频

    Last Updated: Jun 29, 2026

    Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
    06:32

    Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

    Published on: July 14, 2023

    Home-Based EEG Hyperscanning for Infant-Caregiver Social Interactions
    08:08

    Home-Based EEG Hyperscanning for Infant-Caregiver Social Interactions

    Published on: May 31, 2024

    科学领域:

    • 基因组学就是基因组学.
    • 生物信息学是一种生物信息学.
    • 密码学 密码学 密码学 密码学

    背景情况:

    • 基因组数据包含敏感信息.
    • 将基因组分析外包给第三方基础设施带来隐私风险.
    • 保护数据和查询位置都至关重要.

    研究的目的:

    • 为基因组间隔分析开发一个保护隐私的系统.
    • 为了能够在不可信服务器上安全分析基因组数据.

    主要方法:

    • 使用同型加密来保护隐私.
    • 开发了BEDCrypt,这是一个基于加密的基因组间隔数据运行的系统.
    • 实现了一个诚实但好奇的服务器模型.

    主要成果:

    • BEDCrypt能够对加密数据进行核心基因组间隔分析.
    • 功能包括覆盖概要,间隔交叉点和近距离查询.
    • 该系统返回加密的结果,解密执行客户端.

    结论:

    • BEDCrypt为保护隐私的基因组间隔分析提供了一个强大的解决方案.
    • 它保护了在外包环境中敏感的基因组数据和查询位置.
    • 允许安全执行各种基因组分析,而无需暴露数据.