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相关概念视频

Data Collection II01:29

Data Collection II

9.6K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
9.6K
Data Collection I01:30

Data Collection I

7.9K
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...
7.9K
Data Collection by Experiments01:13

Data Collection by Experiments

27.2K
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...
27.2K
Data Collection by Survey01:07

Data Collection by Survey

8.7K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
8.7K
Data Collection III01:05

Data Collection III

4.0K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
4.0K
Data Collection by Observations01:08

Data Collection by Observations

14.7K
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...
14.7K

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相关实验视频

Updated: Jan 23, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
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除了剪贴板之外:使用GridScore NEXT收集数据

Sebastian Raubach1, Miriam Schreiber1, Ruth Hamilton1

  • 1The James Hutton Institute/International Barley Hub, Invergowrie, Dundee, DD2 5DA, UK.

BMC bioinformatics
|January 21, 2026
PubMed
概括

GridScore NEXT是一款新的植物表型化应用程序,可提高作物研究中的数据收集准确性和标准化. 这种工具减少了错误,并加快了决策,以便更好地分析遗传变异.

关键词:
数据质量数据质量数据质量植物遗传资源是一种植物遗传资源.植物表型定型 植物表型定型研究软件工程研究软件工程

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Fixed Target Serial Data Collection at Diamond Light Source

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相关实验视频

Last Updated: Jan 23, 2026

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
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科学领域:

  • 植物遗传学和育种.
  • 农业研究 农业研究
  • 生物信息学是一种生物信息学.

背景情况:

  • 准确的表型数据对于理解作物的遗传变异至关重要.
  • 传统的手写数据收集方法容易出现错误.
  • 电子数据收集确保了错误预防和数据标准化.

研究的目的:

  • 推出GridScore NEXT,这是一个先进的植物表型化应用程序,用于实地试验数据收集.
  • 提高植物遗传学,前育种和作物改进研究的最新技术.
  • 通过以用户为导向的设计来解决以前数据收集方法的局限性.

主要方法:

  • 基于与专家用户的现实领域互动的代设计方法.
  • 纳入来自不同作物研究小组的反 (大米,小豆,,大麦,土豆等). ) 的情况.
  • 开发和测试用于增强数据采集和分析的新功能.

主要成果:

  • GridScore NEXT具有增强的数据收集工具,包括单个植物表型,GPS和图像特征.
  • 可定制的验证规则,条码扫描和高级可视化 (热图,盒子图) 可减少错误并提高数据质量.
  • 跨平台兼容性,离线功能和开源可用性促进了广泛采用和数据共享.
  • 标准化的方法,显著的错误减少,及时的数据共享加快了作物改进的决策.

结论:

  • GridScore NEXT显著提高了植物表型数据收集的准确性,效率和标准化.
  • 该应用程序的功能和开源性质使其广泛适用于需要准确数据的各种实验.
  • 采用GridScore NEXT可以在作物研究和开发中获得更快的洞察力和更好的决策.