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相关概念视频

What is Evolutionary History?02:35

What is Evolutionary History?

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Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Borderline Personality Disorder01:25

Borderline Personality Disorder

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Borderline Personality Disorder is a complex and multifaceted mental health condition characterized by pervasive instability in interpersonal relationships, self-image, emotions, and impulse control. This instability manifests in extreme emotional reactions, fear of abandonment, and self-destructive behaviors. The disorder significantly impacts daily functioning, often leading to distress in both personal and professional domains.
Genetic and Environmental Contributions
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Evolutionary Psychology01:20

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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Criticisms of the Evolutionary Perspective01:23

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In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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相关实验视频

Updated: Feb 6, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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通过智能优化和进化算法为随机性测试器生成边界测试样本.

Peng Gao1,2, Bin Zhang1, Ziyuan Wang3

  • 1Information Engineering University, Zhengzhou, 450001, China.

Scientific reports
|February 4, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了生成测试数据的新框架,以确保信息安全的高质量随机序列. 它使用进化算法和大型语言模型,为随机测试人员创建具有挑战性的测试数据.

关键词:
遗传算法 遗传算法 遗传算法大型语言模型.多目标优化多目标优化随机数生成器 随机数生成器随机性测试是一种随机性测试.

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科学领域:

  • 信息安全 信息安全
  • 密码学 密码学 密码学 密码学
  • 计算智能是一种计算智能.

背景情况:

  • 高质量的随机序列对于信息安全中的加密密钥至关重要.
  • 真正随机数生成的物理源易受环境因素的影响,需要实时随机性测试.
  • 现有的测试数据生成方法难以创建精确失败随机性标准或同时违反多个标准的序列.

研究的目的:

  • 开发一个动态的测试数据生成框架,解决当前方法的局限性.
  • 为实时随机性测试器创建具有挑战性的边界序列.
  • 提高加密密钥生成的可靠性和安全性.

主要方法:

  • 使用进化算法 (EA) 将边界序列生成框架作为一个多约束优化问题.
  • 采用大型语言模型 (LLM) 作为动态参数调整器,分析进化趋势并使用游戏理论机制.
  • 该LLM可自适应调整参数,减轻实时调整的多目标优化中的维度问题.

主要成果:

  • 该框架成功生成了边界测试数据,这些数据略低于随机性标准,但保持了与高源的统计相似性.
  • 生成的序列可以检测出故障,并作为基于统计测试的随机性测试器的现实,具有挑战性的输入.
  • 证明在多目标优化中有效地减轻了维度的诅咒.

结论:

  • 拟议的动态测试数据生成框架增强了实时随机性测试器的测试.
  • 集成EA和LLM提供了一种适应性和有效的方法来生成高质量,具有挑战性的测试数据.
  • 这种方法通过改善随机数生成器的验证来加强加密的安全性.