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相关概念视频

Data Validation01:03

Data Validation

5.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
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Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

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The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
27.7K
Special Features of Adaptive Immunity01:20

Special Features of Adaptive Immunity

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The adaptive immune system, a crucial component of the overall immune response, offers a highly specialized defense against pathogens. It involves specific cell types and features, enabling it to combat infections effectively and efficiently.
The primary cell types involved in adaptive immunity are T cells and B cells. Each type has a unique role in defending the body against pathogens. T cells are responsible for cell-mediated immunity. They identify and eliminate infected cells directly,...
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相关实验视频

Updated: Jul 1, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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检测到无效信息时,可以忽略吗?

Adam T Ramsey1, Yanjun Liu2,3, Jennifer S Trueblood3

  • 1Department of Psychology, Vanderbilt University.

Psychological science
|March 14, 2024
PubMed
概括

即使人们发现错误信息,他们仍然可能将其纳入他们的信仰. 这项研究表明,即使有警告,量化错误信息暴露也会影响判断.

科学领域:

  • 认知心理学 认知心理学
  • 社会心理学 社会心理学
  • 信息科学 信息科学 信息科学

背景情况:

  • 社交媒体促进了信息的快速传播,增加了对错误信息的暴露.
  • 个人在形成信念时可能不知不觉地使用不准确的定量数据.

研究的目的:

  • 调查个人是否可以忽略错误报告的定量信息.
  • 为了确定人们的估计是否被他们识别的无效数据所偏见.

主要方法:

  • 通过亚马逊机械土耳其人招募的815名美国成年人进行了五项实验.
  • 参与者从含有异常值 (无效值) 的高斯分布中估计了平均值.
  • 研究了视觉警告和任务变化的对忽略错误信息的影响.

主要成果:

  • 参与者在定量数据中成功检测出异常值.
  • 尽管检测到异常值,但估计仍然偏向于无效异常值.
  • 警告和各种情景并不能完全防止有偏见的估计.

结论:

  • 个人可能会将检测到的错误信息纳入他们的信念形成中.
  • 即使个人试图忽视无效的定量信息,认知偏见仍然存在.
关键词:
更新信念,更新信念.估计估计估计的估计.审判的判断判断的判断.错误的信息 错误的信息开放数据是开放的数据.异常价值观是异常的 异常价值观

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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  • 了解这些偏见对于打击错误信息的影响至关重要.