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相关概念视频

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Functional Classification of Joints01:09

Functional Classification of Joints

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Improving Translational Accuracy02:07

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Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
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相关实验视频

Updated: Jan 11, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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一个改进的基于GPT2的联合事件提取方法,具有位置扩展和知识增强.

Tonghui An1,2, Zhenling Zhang1,2, Yangli Jia3,4

  • 1School of Computer Science, Liaocheng University, Liaocheng, 252059, China.

Scientific reports
|November 11, 2025
PubMed
概括

一个新的模型,PosEKE-GPT2,通过将其视为文本生成任务来改进从大型数据集中提取金融事件. 这种方法增强了从复杂的金融文本中检索信息的能力.

关键词:
事件提取事件提取联合提取 联合提取增强知识增强知识.位置编码扩展的位置编码.

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科学领域:

  • 自然语言处理自然语言处理.
  • 信息检索 信息检索
  • 人工智能的人工智能

背景情况:

  • 互联网和社交媒体的普及产生了大量的非结构化数据,增加了对有效信息提取的需求.
  • 金融文本存在独特的挑战,包括长度,冗余性和复杂性,阻碍了传统事件提取方法.

研究的目的:

  • 开发一种先进的金融事件提取模型,克服现有方法的局限性.
  • 提高在财务文件中识别事件类型,触发因素和论据的准确性和稳定性.

主要方法:

  • 拟议的PosEKE-GPT2,一个基于GPT2的模型,将事件提取作为文本生成任务重构.
  • 使用结构化正典文本和子任务提取实现了事件类型,触发器和参数的联合识别策略.
  • 引入了扩展的位置编码机制,以更好地表示长文本,以及用于动态外部知识集成的知识增强模块.

主要成果:

  • 在DuEE-Fin数据集上,PosEKE-GPT2的F1平均得分为90.61,在FewFC数据集上达到88.85.
  • 该模型在金融事件提取任务中显著优于基线模型.
  • 废除研究证实了位置编码和知识增强模块的有效性.

结论:

  • 在金融事件提取方面,PosEKE-GPT2表现出卓越的性能和稳定性.
  • 提出的方法,包括扩展的位置编码和知识增强,对于处理复杂的财务数据是有效的.
  • 该模型非常适合于现实世界的金融信息检索应用程序.