Effects of Multimedia Framed Messages on Human Papillomavirus Prevention Among Adolescents.

The purposes of this study were to develop gain-framed (benefits of performing behaviors) and loss-framed (costs of not performing behaviors) messages and to identify the effects of these messages on human papillomavirus (HPV)-related cervical cancer awareness and vaccination intention. Self-administered questionnaires and effect-size measurements were used to evaluate the effects of the framed HPV vaccination messages delivered through multimedia. The results showed that gain-framed and loss-framed messages equally improved HPV knowledge ( d = 2.147-2.112) and attitude toward HPV vaccination ( d = 0.375-0.422). The intent to receive HPV vaccinations for cervical cancer prevention was higher in the two intervention groups ( d = 0.369-0.378) in which the participants were informed that public funding for the vaccination was available. Participants who received loss-framed HPV education messages paid statistically significantly more attention to health education and expressed more concern for sexual health than participants who received gain-framed HPV education messages.

Considering Relationship of Proteins for Radiotherapy Prognosis of Bladder Cancer Cells in Small Data Set.

BACKGROUND: Radiotherapy has serious side effects and thus requires prudent and cautious evaluation. However, obtaining protein expression profiles is expensive and timeconsuming, making it necessary to develop a theoretical and rational procedure for predicting the radiotherapy outcome for bladder cancer when working with limited data. OBJECTIVE: A procedure for estimating the performance of radiotherapy is proposed in this research. The population domain (range of the population) of proteins and the relationships among proteins are considered to increase prediction accuracy. METHODS: This research uses modified extreme value theory (MEVT), which is used to estimate the population domain of proteins, and correlation coefficients and prediction intervals to overcome the lack of knowledge regarding relationships among proteins. RESULTS: When the size of the training data set was 5 samples, the mean absolute percentage error rate (MAPE) was 31.6200%; MAPE fell to 13.5505% when the number of samples was increased to 30. The standard deviation (SD) of forecasting error fell from 3.0609% for 5 samples to 1.2415% for 30 samples. These results show that the proposed procedure yields accurate and stable results, and is suitable for use with small data sets. CONCLUSIONS: The results show that considering the relationships among proteins is necessary when predicting the outcome of radiotherapy.