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One hundred and sixteen cancer patients were interviewed in order to investigate whether the Greek cancer patient wants to be informed and whether he knows his true diagnosis and prognosis of his illness. A semistructured interview was used and also a number of psychological parameters were assessed. Though only 15.5% of the patients named their real diagnosis, according to the interviewer’s assessment 53% were strongly suspicious of their real diagnosis and 55 % suspected their real prognosis. Furthermore, 49 % when asked directly answered that they wanted to know if they had cancer and 49% disagreed with the policy of withholding the truth from the patient. The policy of telling or not telling the truth to the cancer patient in Greece is discussed in comparison with policies and attitudes in other countries.

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This paper provides an overview and introduction to the development of non-ergodic ground-motion models, GMMs. It is intended for a reader who is familiar with the standard approach for developing ergodic GMMs. It starts with a brief summary of the development of ergodic GMMs and then describes different methods that are used in the development of non-ergodic GMMs with an emphasis on Gaussian process (GP) regression, as that is currently the method preferred by most researchers contributing to this special issue. Non-ergodic modeling requires the definition of locations for the source and site characterizing the systematic source and site effects; the non-ergodic domain is divided into cells for describing the systematic path effects. Modeling the cell-specific anelastic attenuation as a GP, and considerations on constraints for extrapolation of the non-ergodic GMMs are also discussed. An updated unifying notation for non-ergodic GMMs is also presented, which has been adopted by the authors of this issue.