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相关概念视频

Lineage Commitment01:21

Lineage Commitment

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Commitment is the  process whereby stem cells:
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Mitochondrial Precursor Proteins01:39

Mitochondrial Precursor Proteins

2.6K
Mitochondrial precursors are partially unfolded or loosely folded polypeptide chains. Newly synthesized precursors are inhibited from spontaneously folding into their native conformation by the cytosolic chaperones, heat shock proteins 70 (Hsp70), and mitochondrial import stimulation factors (MSFs). Precursors bound to MSFs are guided to the TOM70-TOM37 receptors, while precursors bound to Hsp70  chaperones are targetted to TOM20-TOM22 receptor complexes.
Most of the mitochondrial...
2.6K
Leaky Scanning02:28

Leaky Scanning

5.1K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Autophagy01:27

Autophagy

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Autophagy is a self-digesting process by which a cell protects itself from threats both within and outside the cell, ranging from abnormal proteins to invading bacteria. In this process, obsolete components of the cell and invading microbes are degraded by hydrolytic enzymes active in an acidic environment of the lysosomal lumen.
An autophagic pathway consists of a series of signaling events activated in response to diverse stress and physiological conditions such as food deprivation,...
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相关实验视频

Updated: Jul 8, 2025

Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
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Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods

Published on: March 1, 2024

702

在 GitHub 讨论中寻找相关帖子.

Marcia Lima1,2, Igor Steinmacher3, Denae Ford4

  • 1Department of Computer Science, Amazonas State University (UEA), Manaus, Amazonas, Brazil.

PeerJ. Computer science
|December 11, 2023
PubMed
概括

本研究介绍了RD-Detector,这是一种使用Sentence-BERT的工具,可以在GitHub讨论中找到重复或类似的帖子. 这有助于减少噪音,并改善软件开发社区的知识共享.

关键词:
沟通工具 沟通工具在GitHub上的讨论.知识共享知识共享相关职位 相关职位一句话 - - 伯特.软件团队的互动互动.

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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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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

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Author Spotlight: Exploring Glial Influence in Experience-Dependent Synaptic Pruning During Critical Periods
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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科学领域:

  • 软件工程 软件工程 软件工程
  • 人与计算机的交互
  • 自然语言处理自然语言处理.

背景情况:

  • 软件开发依赖于协作工具,像GitHub Discussions这样的论坛越来越突出.
  • 这些平台上的相关帖子 (重复,近重复) 制造噪音,妨碍知识共享.

研究的目的:

  • 为了应对在GitHub讨论中检测相关帖子的挑战.
  • 提出和评估一种自动化方法来识别重复和几乎重复的内容.

主要方法:

  • 开发了RD-Detector,一种利用Sentence-BERT预训练模型的方法.
  • 在3个GitHub社区的16048个讨论帖子中评估了RD-Detector.
  • 软件维护人员和研究人员手动评估.

主要成果:

  • 在检测相关帖子时,RD-Detector实现了77-100%的精度和66%的回忆.
  • 手动验证证实了该方法的有效性.
  • 维护者确定了合并讨论和整合信息的实际用途.

结论:

  • RD-Detector提供了一种有效的解决方案,用于识别GitHub讨论中的相关帖子.
  • 该工具可以显著减少维护人员所需的手工工作.
  • 更好地检测相关帖子可以提高知识共享和平台的可用性.