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Our aim was to investigate cancer department nurses' attitudes and practices in response to pelvic radiation patients' sexual issues in Sichuan, China. A self-made questionnaire survey was conducted with 150 registered nurses of six hospitals in China. Nurses were asked about their experiences regarding consultation about sexual issues and attitudes toward the sex-related statements of pelvic radiation patients. We analyzed the correlation factors for the attitudes about dealing with patients' sexual issues by using the ff-test. Of the survey sample, 128 nurses (85.33%) responded. Of the respondents, 46.88% had been consulted about sexual issues by patients or families. In addition, 87.5% of the nurses believed that 'reliable information on sexual in pelvic radiotherapy is lacking', and 77.34% reported having 'an inter-est in undertaking education of knowledge about pelvic radiation patients' sexual issues'; yet only 4.69% had completed professional sexual education about pelvic radiation patients. The hospital type and bed number as well as nurse age and seniority also affected the responses. This study shows that discussing sexuality is still repressed in the patient-nurse rela-tionship, and most nurses' in Chinese cancer departments lack knowledge about pelvic radiation patients' sextial problems. [ABSTRACT FROM AUTHOR]

In postgenomic age, with the avalanche of protein sequences generated and relatively slow progress in determining their structures by experiments, it is important to develop automated methods to predict the structure of a protein from its sequence. The membrane proteins are a special group in the protein family accounts for approximately 30% of all proteins; however, solved membrane protein structures only represent less than 1% of known protein structures to date. Although a great success has been achieved for developing computational intelligence techniques to predict secondary structures in both globular and membrane proteins, there is still much challenging work in this regard. In this review article, we firstly summarize the recent progress of automation methodology development in predicting protein secondary structures, especially in membrane proteins; we will then give some future directions in this research field. [ABSTRACT FROM AUTHOR]