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Updated: Sep 9, 2025

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通过使用通用LLM快速工程检测压力

Nima Esmi1, Asadollah Shahbahrami2, Yasaman Nabati3

  • 1Bernoulli Institute, University of Groningen, Groningen, The Netherlands; ISRC, Khazar University, Baku, Azerbaijan.

Acta psychologica
|August 29, 2025
PubMed
概括

这项研究通过使用大型语言模型 (LLM) 改善了社交媒体帖子中的压力检测. 改进的方法提高了17%的准确性,并减少了80%的错误阳性.

关键词:
GPT-4 其他大型语言模型快速工程社交媒体压力识别

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Applications of Stress01:04

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Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
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Stress: General Loading Conditions

To grasp the intricacy of real-world conditions where multiple loads are applied simultaneously to a structure, one might visualize a section passing through a specific point within a body, aligned parallel to the xy plane. This section is subjected to various forces, including original loads, normal forces, and shearing forces.
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The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
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