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相关概念视频

Directional Terms01:14

Directional Terms

12.7K
Directional terms are essential for describing the relative locations of different body structures. For instance, an anatomist might describe one band of tissue as "inferior to" another, or a physician might describe a tumor as "superficial to" a deeper body structure. These terms often use comparative terms in pairs to trace out the relative locations of one body part to another or descriptions of body tissues like the deeper ones from superficially present with reference to...
12.7K
Directionality of Nuclear Transport01:42

Directionality of Nuclear Transport

3.5K
Ras-related nuclear protein or Ran is a small G protein that cycles between its GTP and GDP bound states. Ran specific regulators, a Ran GTPase Activating Protein or RanGAP present in the cytosol and a Ran guanine nucleotide exchange factor or RanGEF present inside the nucleus regulate GTP/GDP exchange. A high concentration of GTP inside the cells, in addition to this asymmetric distribution of  Ran-specific regulators, leads to a higher RanGTP concentration inside the nucleus. This...
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Directing Effect of Substituents: ortho–para-Directing Groups01:14

Directing Effect of Substituents: ortho–para-Directing Groups

6.9K
Ortho–para directors are substituent groups attached to the benzene ring and direct the addition of an electrophile to the positions ortho or para to the substituent. All electron-donating groups are considered ortho–para directors. They donate electrons to the ring and make the ring more electron-rich. The ring is therefore susceptible to the addition of electrophiles. Substituents such as amino, hydroxy, or alkoxy, containing lone pairs on the atom adjacent to the ring, donate...
6.9K
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

3.5K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
3.5K
Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

4.9K
Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
4.9K
Direction of Acceleration Vectors01:10

Direction of Acceleration Vectors

9.5K
Acceleration occurs when velocity changes in magnitude (an increase or decrease in speed), direction, or both. Although acceleration is in the direction of the change in velocity, it is not always in the direction of motion. When an object slows down, its acceleration is opposite to the direction of its motion. This is commonly referred to as deceleration. However, the term deceleration can cause confusion in analysis because it is not a vector; it does not point to a specific direction with...
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Updated: Sep 13, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

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增强生物医学关系提取与方向性.

Po-Ting Lai, Chih-Hsuan Wei, Shubo Tian

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    此摘要是机器生成的。

    这项研究通过增加实体角色定向来增强生物医学关系提取数据集 (BioRED),这对于理解生物网络至关重要. 一个新的多任务语言模型成功地识别了关系和实体角色,超过了现有的模型.

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    科学领域:

    • 生物信息学是一种生物信息学.
    • 计算生物学 计算生物学
    • 自然语言处理自然语言处理.

    背景情况:

    • 生物关系网络对于理解复杂的生物机制至关重要.
    • 生物医学文献的快速扩张为更新这些网络带来了挑战.
    • 像BioRED这样的现有数据集有助于自动提取关系,但缺乏实体角色定向.

    研究的目的:

    • 为了丰富BioRED集体与基本的实体角色方向性注释.
    • 开发一种新的多任务语言模型,共同识别关系,发现和实体角色.
    • 提高从生物医学文献中提取生物关系的准确性.

    主要方法:

    • 实体角色 (主体/对象) 的手动注释,用于BioRED集体内的关系.
    • 开发一种新的多任务语言模型,结合软提示式学习.
    • 共同训练模型以确定关系,新发现和实体角色.

    主要成果:

    • 创建一个丰富的BioRED语料库,有10864个方向性注释.
    • 与GPT-4和Llama-3等最先进的模型相比,拟议的多任务模型表现出更高的性能.
    • 成功地共同确定关系,新发现和实体角色.

    结论:

    • 增加BioRED的定向性显著提高了它对生物网络分析的实用性.
    • 新的多任务语言模型为准确的生物关系提取提供了强大的工具.
    • 这项工作促进了生物医学领域的自动化知识发现.