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

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
Improving Translational Accuracy02:07

Improving Translational Accuracy

15.3K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.3K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.7K
3.7K
Margin of Error01:27

Margin of Error

7.9K
The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
7.9K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

11.2K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.2K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.3K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.3K

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

Emulated trial of artificial intelligence use and subsequent depressive outcomes in a survey of US adults.

BMJ mental health·2026
Same author

Injury-induced Cxcl11 and neutrophil signaling drive zebrafish kidney regeneration by generating a nephrogenic niche of Fgf and Wnt expression.

bioRxiv : the preprint server for biology·2026
Same author

How deceptive online networks reached millions in the US 2020 elections.

Nature human behaviour·2026
Same author

The effects of political advertising on Facebook and Instagram before the 2020 US election.

Nature human behaviour·2026
Same author

Sociodemographic disparities, healthcare system trust, and social support in mental health treatment among U.S. adults with depressive or anxiety symptoms.

Journal of mood and anxiety disorders·2026
Same author

Generative AI Use and Depressive Symptoms Among US Adults.

JAMA network open·2026
Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026
Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026
Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026
Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026
Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026
Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026
查看所有相关文章

相关实验视频

在国际上改善选举预测

Ryan Kennedy1, Stefan Wojcik2,3, David Lazer2,3

  • 1Center for International and Comparative Studies, University of Houston, Houston, TX, USA. rkennedy@uh.edu.

Science (New York, N.Y.)
|February 4, 2017
PubMed
概括
此摘要是机器生成的。

全球选举预测模型在80%至90%的案例中准确预测结果. 政治机构,现任优势和国际因素显著影响选举结果,民意调查数据被证明是一个强有力的预测因素.

相关实验视频

科学领域:

  • 政治科学
  • 计算社会科学
  • 国际关系

背景情况:

  • 预测选举结果对于理解民主进程至关重要.
  • 以前的模型往往缺乏全球范围或全面的数据.
  • 不同因素对直接行政选举的影响需要进一步调查.

研究的目的:

  • 开发和验证全球直接选举的模型.
  • 确定不同国家选举结果的关键预测因素.
  • 评估民调数据在选举预测中的作用.

主要方法:

  • 使用了来自86个国家的500多个选举数据集.
  • 使用一个单独的数据集,包含146轮选举的广泛投票数据.
  • 通过样本外测试和实时预测实验验证实模型.

主要成果:

  • 模型在预测选举结果时达到80-90%的准确性.
  • 政治机构,现有优势和国际联系/援助是重要的预测因素.
  • 经济指标的预测能力相对较弱.
  • 全球民意调查数据显示,即使在发展中国家,

结论:

  • 全球选举是可以成功模拟的,
  • 政治机构和现任优势是选举结果的重要决定因素.
  • 国际因素和民意调查数据对于准确的选举预测至关重要.