科学真理，全部真相和只此一份真相

English | 2024 | ISBN: 9781003405399 | 107 pages | True PDF | 12.85 MB

There is a limited understanding amongst scientists, students, and the public about realizing trust in scientific findings. This should be a paramount objective. Scientists and the public need to know more about the link between the philosophy of science and science research methods. There is a limited understanding of why accuracy is important and that it is not the same as precision. Also, there is often the need to be pragmatic and so measure an approximation of a real system, and the classic case is reductionism in biology versus whole organism biology. The author brings these topics together in terms of trusting in science.

Features

Covers how scientific truth is perceived and increases the preparedness of early career scientists. Examines the relatively new field of machine learning and artificial intelligence as applied to crystallography databases in biology and chemistry for new discoveries. Describes the major changes in digital data archiving and how vast “raw data” archives are being increasingly developed for machine learning and artificial intelligence as well as complete truth. This unique volume will be of interest to pre-university and university undergraduate students, principally in science. Presents scientific research examples from physics, chemistry, and biology together with their methodologies.

科学家、学生和公众对于理解科学发现的信任度有限。这应当是首要目标。科学家和社会大众需要了解更多关于科学研究方法与哲学之间的联系。人们对准确性的重视程度不足，认为它不同于精确性。此外，他们往往需要采取实用主义的态度，并测量一个系统的真实近似值，经典案例就是生物学中的还原论和整体生物研究的对比。作者将这些话题整合到对科学的信任之中。 特点 涵盖如何感知科学真理，并提升早期职业科学家的准备程度。 探讨机器学习与人工智能在生物化学晶体学数据库中应用的新领域。 描述数字数据存档的重大变化以及为机器学习和人工智能，以及完全真实性的巨大“原始数据”档案正在不断开发。 该独特卷将吸引预大学和大学本科学生，主要涉及科学领域。 展示物理学、化学和生物学的科研实例及其方法。

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