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相关概念视频

Blinding01:11

Blinding

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Blind Procedures02:07

Blind Procedures

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

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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...
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相关实验视频

Updated: May 28, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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需要持续盲目的姿势和活动预测基准.

Christian Kramer1, John Chodera2, Kelly L Damm-Ganamet3

  • 1F. Hoffmann-La Roche Ltd. Pharma Research and Early Development, Basel 4070, Switzerland.

Journal of chemical information and modeling
|February 14, 2025
PubMed
概括

基于结构的药物设计 (SBDD) 工具需要更好的基准测试. 为具有约束力的姿势和活动预测 (P-AP) 建立社区挑战对于推进药物发现方法至关重要.

更多相关视频

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 化学信息学 化学信息学

背景情况:

  • 基于结构的药物设计 (SBDD) 对于有效的药物发现至关重要.
  • 目前的SBDD方法,特别是用于约束性姿势和活动预测 (P-AP),在可靠性方面面临重大限制.
  • 缺乏标准化的社区基准测试阻碍了进步.

研究的目的:

  • 审查SBDD中P-AP的当前状况.
  • 突出需要一个社区驱动的基准测试过程.
  • 为改善P-AP方法开发提出一个前进的路径.

主要方法:

  • 关于P-AP方法的概述.
  • 对非盲目的基准测试数据集的分析.
  • 审查已结束和正在进行的盲目基准评估倡议.

主要成果:

  • 确定了当前P-AP预测可靠性的局限性.
  • 强调缺乏标准化,独立的基准评估过程.
  • 从过去和现在的基准测试工作中提供了见解.

结论:

  • 社区支持的长期基准挑战对于加速P-AP方法的突破至关重要.
  • 这样的挑战需要无偏见的数据集和系统的,独立的验证.
  • 建立一个科学讨论论坛对于社区参与和进步至关重要.