Objective To conduct an in-depth analysis and feature extraction of the transcriptomics data of 10 types of cancers in order to realize the staging diagnosis of cancer samples.Methods The transcriptomics data of the top 10 cancers having the highest incidence were amassed from the UCSC Xena website,which comprised 4 938 samples and 59 428 genes.With the aid of variational autoencoder,we developed an incremental feature ranking and selection variational autoencoder(IFRSVAE)based on feature importance ranking and incorporating the masking algorithm and the Incremental Feature Selection(IFS).Subsequently,the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest(RF),Support Vector Machine(SVM),and eXtreme Gradient Boosting(XGboost),and it was also compared with other methods.Results Our research extracted 21 features for the ensuing classification.In comparison to the conventional variational autoencoder,recursive feature elimination,and Lasso regression models,the IFRSVAE model attained more favorable performance across all 3 classifiers(highest AUC value,and well performed other indicators).Notably,the IFRSVAE-RF exhibited the most outstanding performance,with an AUC value reaching 85.49%(95%CI:83.24%～87.74%).Moreover,Shapley additive explanations(SHAP)interpretable model illustrated well contributions of the features in our model.Conclusion Our developed IFRSVAE shows certain effectiveness in feature extraction.The constructed IFRSVAE-RF model demonstrates relatively good performance in the task of cancer staging diagnosis,which providing a new and referable idea for research orientation of deep-learning-based diagnostic methods for cancer staging.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

In recent years,public hesitancy to vaccinate has come to the fore and can hinder the advancement of immunization programs.It is important to increase public confidence in vaccines and to rationally and effectively promote the immunization behavior of the population.Based on behavioral economics theory,it combines the anchoring effect,loss aversion,two-systems theory,and the herd effect to explore the irrational factors and decision-making preferences behind the public's vaccination decisions,and then proposes discourse strategies for effective boosting to increase the public's confidence in vaccination.

Objective:To understand the cognition of the family caregivers of terminal cancer patients on digital health intervention, to clarify their actual needs, and to analyze the obstacles to their acceptance of digital health intervention, so as to develop a digital health intervention plan for the family caregivers of terminal cancer patients.Methods:From February 2024 to March 2024, the family caregivers of 16 patients with terminal cancer in Hunan Cancer Hospital Pain Hospice Ward were selected by objective sampling, who met the inclusion and exclusion criteria were interviewed in a semi-structured manner about the cognition and needs of digital health intervention, and the interview contents were sorted and analyzed using the Colaizzi7 step method.Results:A total of 16 family caregivers of terminal cancer patients, 4 males and 12 females, aged 26-55 years, were interviewed. Four themes were distilled from the interview results: family caregivers of terminally cancer patients agree on the importance of digital health interventions; lack of awareness of digital health interventions; expectations of digital health interventions; and possible confounders affecting digital health interventions.Conclusions:The family caregivers of terminal cancer patients had insufficient awareness of digital health intervention, but all showed affirmation of the development of digital health intervention services. It is recommended to actively improve the basic conditions of digital health services, strengthen publicity, raise the level of awareness of the family caregivers, and positively overcome the relevant interfering factors, so as to gradually promote the development of digital health services.