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相关概念视频

Applications of Stress01:04

Applications of Stress

400
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.
The...
400
Principal Stresses: Problem Solving01:15

Principal Stresses: Problem Solving

301
When analyzing two planes intersecting at right angles under the influence of shearing, tensile, and compressive stresses, it is essential to identify principal planes, maximum shearing stress, and principal stresses. To find the principal planes, apply a formula that equates them to twice the shearing stress divided by the difference between tensile and compressive stresses.
301
Stress: General Loading Conditions01:15

Stress: General Loading Conditions

375
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.
The shearing force, possessing potential directionality within the plane of the section, is simplified into two component forces running parallel to the x and y axes....
375
Stress Concentrations01:13

Stress Concentrations

295
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.
The stress...
295
Problem Solving on Stress and Strain01:22

Problem Solving on Stress and Strain

1.1K
Stress is a quantity that describes the magnitude of a force that causes deformation, generally defined as internal force per unit area. When forces pull on an object and cause its elongation, like the stretching of an elastic band, it is called tensile stress. When forces cause the compression of an object, it is known as compressive stress. When an object is being squeezed uniformly from all sides, like a submarine in the depths of the ocean, we call this kind of stress bulk stress (or volume...
1.1K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100

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相关实验视频

Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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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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科学领域:

  • 计算语言学
  • 心理健康信息学
  • 医疗保健中的人工智能

背景情况:

  • 社交媒体分析为心理健康监测提供了潜力.
  • 一般用途的大型语言模型 (LLM) 是有前途的,但需要专门适应精确的心理健康应用.
  • 现有的方法往往缺乏透明度, 需要大量的微调.

研究的目的:

  • 开发和评估一个代的快速工程框架, 以提高社会媒体压力检测的LLM性能.
  • 在快速的工程过程中利用心理学知识的提示.
  • 与基线和特定领域模型相比,提高压力检测的准确性和减少错误阳性.

主要方法:

  • 一个代的提示工程框架被设计出来,
  • 该框架应用于GPT-4大型语言模型用于社交媒体帖子中的压力检测.
  • 对基线零射击提示和特定领域的模型进行了评估,测量了准确性和错误阳性率.

主要成果:

  • 迅速的工程方法使GPT-4的应力检测精度从72%提高到89% (增加了17%).
  • 与基线方法相比,虚假阳性结果显著减少了80%.
  • 该方法在特定领域的Mental-RoBERTa模型中表现优于5%,并产生了人类可读的推理.

结论:

  • 代快速工程是一种有效的,资源高效的策略,用于将通用LLM适应专门的心理健康监测任务.
  • 产生的理由提高了透明度,并帮助心理健康专业人员验证模型的结果.
  • 这种方法为心理健康监测提供了可扩展的解决方案,而不需要昂贵的模型微调.