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相关概念视频

Data Collection by Experiments01:13

Data Collection by Experiments

24.3K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.3K
Data Reporting and Recording01:24

Data Reporting and Recording

4.7K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.7K
Correlation of Experimental Data01:23

Correlation of Experimental Data

247
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
247
Data Collection by Observations01:08

Data Collection by Observations

12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K
Data Collection I01:30

Data Collection I

6.3K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.3K
Experimental Designs01:16

Experimental Designs

11.5K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
11.5K

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相关实验视频

Updated: Jul 15, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

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利用大数据进行实验报告:高驱动协作研究项目案例

Alessio Capello1, Matteo Fresta1, Francesco Bellotti1

  • 1Department of Electrical, Electronic and Telecommunication Engineering (DITEN), University of Genoa, Via Opera Pia 11A, 16145 Genoa, Italy.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

我们开发了一个数据工具链,通过简化报告工具的设置来实现项目进展监控的自动化. 该系统有效地从实验数据中提取关键绩效指标,提高项目管理效率.

关键词:
这是一个RESTful API.自动驾驶自动驾驶的自动驾驶.大数据架构的大数据架构实地运营测试试验 实地运营测试非关系型的DBDB项目监测和报告工作.

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High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay
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High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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相关实验视频

Last Updated: Jul 15, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

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High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay
10:30

High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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科学领域:

  • 数据科学数据科学数据科学
  • 软件工程 软件工程 软件工程
  • 项目管理 项目管理

背景情况:

  • 及时的项目状态信息对于有效的管理至关重要.
  • 现有的框架可能需要进行广泛的定制以监测进展.
  • 自动数据提取对于处理大量项目数据至关重要.

研究的目的:

  • 开发一个数据工具链,用于自动化项目进展监测.
  • 通过配置文件简化报告工具的设置.
  • 确保从实验数据中自动提取项目绩效指标.

主要方法:

  • 扩展了Measurify框架,用于在MongoDB上构建丰富的测量应用程序.
  • 使用JSON配置文件来定义项目进展/绩效指标.
  • 专注于从项目实验数据文件中自动提取数据.

主要成果:

  • 成功开发了一个数据工具链,支持自动化项目进度监测.
  • 工具链通过可编辑的JSON配置文件简化了报告工具的设置.
  • 在一个协作研究项目中证明了有效性,确定了330多个数值指标.

结论:

  • 开发的数据工具链对于使用实际项目数据编制定期进展报告是有效的.
  • 设计选择,包括API资源定义,确保在汽车行业之外的广泛应用.
  • 该工具链通过提供及时和数据丰富的项目状态洞察力来增强项目管理.