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Stress Concentrations

Stress Concentrations

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...

Stress Concentrations

Stress Concentrations

Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller...

Applications of Stress

Applications of Stress

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...

Physiological Foundation of Stress

Physiological Foundation of Stress

Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
Role of the Sympathetic Nervous System
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Stress Response System

Stress Response System

The stress response system, also known as the fight-or-flight response, is the body's automatic physiological reaction to perceived threats. Hans Selye introduced the concept of General Adaptation Syndrome (GAS) to describe the predictable pattern of changes that occur in response to stress. GAS consists of three sequential stages: alarm, resistance, and exhaustion. This model helps explain how chronic stress can contribute to health problems.
Alarm stage
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Components of Stress

Components of Stress

Stress analysis under multiple loading conditions is intricate, necessitating a comprehensive grasp of normal and shearing stresses. Consider a small cube at point O, subjected to stress on all six faces, visible or not. Normal stress components σx, σy, σz act perpendicularly to the x, y, and z axes. Shearing stress components τxy and τxz are exerted on faces perpendicular to these axes.
Interestingly, the hidden cube faces also experience these stresses, equal and...

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Enhanced Informer Network for Stress Recognition and Classification via Spatial and Channel Attention Mechanisms.

Rui Guo¹, Beni Widarman Yus Kelana¹, Eman Safar Almetere²

¹Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai Johor 81300, Malaysia.

International Journal of Neural Systems

|December 30, 2025

Summary

This study introduces an enhanced deep learning method for recognizing occupational stress using spatial and channel attention mechanisms. The model accurately identifies subtle stress patterns, outperforming existing methods in stress classification.

Keywords:

Stress recognition channel attention human resource management informer spatial attention

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Published on: January 22, 2018

Area of Science:

Occupational health
Psychological stress detection
Deep learning applications

Background:

Rising work-related stress necessitates advanced methods for psychological pressure detection.
Current attention-augmented models have limitations in capturing subtle stress indicators.

Purpose of the Study:

To propose an enhanced Informer deep learning model for stress recognition and classification.
To integrate spatial and channel attention mechanisms (SAM/CAM) for improved performance.

Main Methods:

Developed an enhanced Informer model incorporating tailored SAM and CAM.
SAM prioritizes time-sensitive physiological data, while CAM weights stress-related features.
Evaluated the model on a public dataset for stress recognition.

Main Results:

The proposed method significantly outperformed existing approaches in accuracy, recall, and F1-score.
Ablation studies confirmed the effectiveness of both SAM and CAM.
The model accurately captures subtle changes associated with stress states.

Conclusions:

The study presents an effective deep learning approach for automatic psychological stress detection.
This work provides a foundation for broader health monitoring applications using deep learning.