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相关概念视频

Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Review and Preview01:13

Review and Preview

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Random and Systematic Errors01:20

Random and Systematic Errors

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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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相关实验视频

Updated: Feb 13, 2026

Assaying Predatory Feeding Behaviors in Pristionchus and Other Nematodes
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掠夺性发布列表:系统审查

Fahmi H Kakamad1,2,3, Ayman M Mustafa1, Berun A Abdalla1,2

  • 1Scientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.

Annals of medicine and surgery (2012)
|February 12, 2026
PubMed
概括
此摘要是机器生成的。

掠夺性期刊列出了帮助识别欺诈性出版物的列表,但缺乏一致的标准和更新. 标准化的方法和透明度对于其可靠性和保护学术诚信至关重要.

关键词:
贝尔名单 (beall list) 是一个名单.卡贝尔 (Cabell) 的名单是卡贝尔的名单.科西恩列表中的名单.捕食者的日志 捕食者的日志掠夺性的出版商

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Last Updated: Feb 13, 2026

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06:27

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Published on: September 4, 2016

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Author Spotlight: Demonstrating Systematic Endobronchial Ultrasound to New Endoscopists
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科学领域:

  • 学术出版学术出版活动
  • 学术诚信 学术诚信
  • 图书统计学 图书统计学

背景情况:

  • 掠夺性期刊通过利用开放访问模型和绕过同行评审来破坏学术出版.
  • 缺乏标准化的标准使得识别掠夺性期刊变得复杂.
  • 现有的清单旨在提高透明度并保护学术出版.

研究的目的:

  • 系统地审查现有的掠夺性期刊列表.
  • 评估它们在提高透明度和保护学术出版的有效性.
  • 识别方法论,透明度和更新机制中的差距.

主要方法:

  • 在遵守PRISMA指南的基础上进行系统审查.
  • 在学术数据库 (PubMed, Web of Science, Scopus, DOAJ),灰色文学和出版商网站上进行全面的搜索.
  • 对提取的变量进行比较分析,包括治理,可访问性,识别标准和更新机制.

主要成果:

  • 分析了10个清单;60%是在2017年之后建立的,90%是公开的.
  • 大多数列表 (70%) 涵盖期刊和出版商,90%使用手动审查进行识别.
  • 在80%的清单中,删除标准不清楚,60%的清单没有指定更新频率.

结论:

  • 虽然有帮助,但标准,更新和删除的不一致性会降低掠夺性期刊列表的可靠性.
  • 为了保持它们的相关性,需要标准化的方法,提高透明度和持续的努力.
  • 这些清单需要改进,以有效地维护学术诚信,并引导研究人员走向可信的出版场所.