Qualitative study on cancer diagnosis and primary caregiver coping experience based on infra-red thermography: Impact of protein metabolism and immune function

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Traditional cancer diagnosis methods include imaging examinations, biopsy, etc., but these methods are often invasive, time-consuming, and costly. This study aims to explore the application effect of infra-red thermography technology in cancer diagnosis and analyse the coping experience of primary caregivers during patient diagnosis and treatment. The data collection methods include semi-structured interviews, observations, and questionnaire surveys. The research results show that infra-red thermography technology has high sensitivity and specificity in cancer diagnosis, which can assist doctors in detecting early signs of tumours. Therefore, cancer diagnosis technology based on infra-red thermography has shown great potential in early detection and is expected to become a beneficial supplement to traditional diagnostic methods. At the same time, caregivers’ coping experiences during cancer diagnosis and treatment are complex and diverse, requiring the healthcare system to provide more support and resources to help them better adapt and cope.

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Concrete, known for its high strength, durability, and flexibility, is a core material in construction. However, defects such as voids and honeycombing often occur due to improper pouring or vibration, weakening the concrete's strength and affecting its long-term performance. These defects typically require costly repairs. Therefore, timely identification and repair of such early defects is crucial for improving construction quality. This paper proposes a method for non-destructive detection of honeycomb defects in concrete using infrared thermography (IR) during the hydration stage. By analyzing the temperature differences between defect and non-defect areas based on the temperature distribution generated during hydration, defects can be detected. Furthermore, the study uses the COMSOL finite element model to explore the relationship between defect size, ambient temperature, formwork thickness, and thermal contrast. The results show that IR technology can effectively and reliably detect honeycomb defects, especially during the hydration phase. As a convenient and feasible non-destructive testing method, IR technology has significant potential for application and development in concrete defect detection.

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