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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Improving Translational Accuracy02:07

Improving Translational Accuracy

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...
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Translation01:31

Translation

Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are called the...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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相关实验视频

Updated: Jun 19, 2026

Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat
09:43

Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat

Published on: December 11, 2017

低代码/无代码人工智能用于机器翻译:为蓝色转换实现生成人工智能的民主化

Mercedes Arguello Casteleiro1, Saihong Li2, Arsenio Andrades Moreno3

  • 1BCS SGAI, UK.

Studies in health technology and informatics
|February 23, 2026
PubMed
概括
此摘要是机器生成的。

使用生成性AI的神经机器翻译 (MT) 在打破语言障碍方面显示出希望,为像蓝色转型这样的全球举措打破语言障碍. 开源模型虽然可访问,但在翻译关键术语方面表现出适度的质量.

关键词:
生成性AI是一种人工智能.低代码/无代码的人工智能多模式大型语言模型神经机器翻译 神经机器翻译星球健康 星球健康

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Veno-Venous Extracorporeal Membrane Oxygenation in a Mouse
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Veno-Venous Extracorporeal Membrane Oxygenation in a Mouse

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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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相关实验视频

Last Updated: Jun 19, 2026

Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat
09:43

Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat

Published on: December 11, 2017

Veno-Venous Extracorporeal Membrane Oxygenation in a Mouse
06:41

Veno-Venous Extracorporeal Membrane Oxygenation in a Mouse

Published on: October 24, 2018

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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

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科学领域:

  • 星球健康 星球健康
  • 水生食物系统 水生食物系统
  • 全球卫生倡议全球卫生倡议

背景情况:

  • 营养不良和疾病影响人类健康.
  • 星球健康将人类的福祉与地球的健康联系起来.
  • 蓝色转型旨在改善全球水产食物系统,消除饥饿,提高生活水平.

研究的目的:

  • 研究由生成性人工智能 (AI) 驱动的神经机器翻译 (MT) 的潜力.
  • 评估人工智能驱动的MT是否可以降低语言障碍,改善获得关键信息的机会.
  • 专注于与蓝色转型倡议相关的关键术语.

主要方法:

  • 用自动指标和人类判断来评估蓝色转变数据集的MT质量.
  • 评估翻译的语义质量 (充分性).
  • 采用低代码/无代码人工智能方法,使用开源的Python库和大型语言模型 (LLM),包括多式模式生成人工智能.

主要成果:

  • 证实了一种简单,低代码/无代码的AI方法对MT的可行性.
  • 专家们在使用Facebook的SeamlessM4T的自动化MT的高质量方面表现出适度的共识.
  • 强调了生成AI在翻译专业术语方面的有效性.

结论:

  • 研究结果表明,开源大型语言模型 (LLM) 与闭源替代方案 (如OpenAI的GPT4.4) 相比,其性能可能较低.
  • 该研究验证了可访问的人工智能工具的使用,以提高全球健康和可持续发展工作中的信息传播.
  • 需要进一步的研究,以优化开源的MT复杂的,多语言的举措.