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相关概念视频

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Sustainable Development01:43

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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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通过自然语言处理在公共研发中的公共价值观.

Hyejin Jang1,2, Taeyeon Roh1, Byungun Yoon3

  • 1Department of Industrial & Systems Engineering, School of Engineering, Dongguk University, 3-26, Pil-dong 3-ga, Chung-gu, Seoul, 100-715, South Korea.

Scientific reports
|October 28, 2025
PubMed
概括
此摘要是机器生成的。

韩国 韩国 韩国 韩国

关键词:
在 GPT 中,GPT 必须是 GPT.自然语言处理自然语言处理.公共研发部门的公共研发.公共价值的公共价值.研究与开发评估评估.研究和开发的输出.

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科学领域:

  • 人工智能研发政策 人工智能研发政策
  • 社会影响评估的社会影响评估
  • 公共价值评估 公共价值评估

背景情况:

  • 韩国面临研发预算削减,需要有效的政策管理.
  • 现有的研发评估方法缺乏对质量和社会影响的系统评估.
  • 需要数据驱动的方法来评估公共研发超出产出指标.

研究的目的:

  • 通过使用公共价值 (PV) 来评估公共研发成果的社会价值,引入一个新的框架.
  • 使用自然语言处理 (NLP) 和深度学习,将研发成果与外部数据集成.
  • 系统地捕捉和解释公共研发对新兴技术的社会和经济影响.

主要方法:

  • 利用NLP进行专利文件解析,将其分成子节.
  • 使用大型语言模型 (LLM) 分类器将分段分类为预定义的公共价值类型.
  • 整合了来自公共资助的AI研发项目的1642项专利,并为社会视角提供了422篇新闻专.

主要成果:

  • 在六个类别中提取了公共价值元素:工业进步,安全社会,可持续环境,创造就业机会,人类健康和生活便利.
  • 分析了基于专利数量的前五个人工智能研发项目.
  • 展示了一种新的,数据驱动的研发政策评估方法,使用集成数据源和先进的NLP/LLM.

结论:

  • 该研究提出了一个系统的,数据驱动的框架,用于评估公共研发的社会影响.
  • 调查结果为研发政策的优先级和资源分配提供了基于证据的见解.
  • 这种方法通过启用以影响为导向的评估系统来推进研发政策管理.