A Qualitative Study on Illness Perception and Coping Behaviors Among Patients with Chronic Obstructive Pulmonary Disease: Implications for Intervention.

Background: Understanding patients' perceptions of their illness may be more beneficial for healthcare providers in maintaining vigilance than merely focusing on the clinical status of patients. As patients' perceptions can significantly influence their behavior, it is possible that health care providers who are aware of patients' thoughts in advance may help improve their intervention programs, such as increased treatment adherence. However, current research offers limited insight into the subjective perceptions of disease among patients with Chronic Obstructive Pulmonary Disease (COPD).

[Partial least squares regression variable screening studies on apple soluble solids NIR spectral detection].

Abstract To improve the predictive ability and robustness of the NIR correction model of the soluble solid content (SSC) of apple, the reverse interval partial least squares method, genetic algorithm and the continuous projection method were implemented to select variables of the NIR spectroscopy of the soluble solid content (SSC) of apple, and the partial least squares regression model was established. By genetic algorithm for screening of the 141 variables of the correction model, prediction has the best effect. And compared to the full spectrum correction model, the correlation coefficient increased to 0.