Objectives: To compare attitudes of medical and law students toward informing a cancer patient about diagnosis and prognosis and to examine whether differences are related to different convictions about benefit or harm of information.Setting and design: Anonymous questionnaires were distributed to convenience samples of students at the University of Geneva containing four vignettes describing a cancer patient who wishes, or alternatively, who does not wish to be told the truth.Participants: One hundred and twenty seven medical students and 168 law students.Main (...) outcome measures: Five point Likert scale of responses to the vignettes ranging from “certainly inform” to “certainly not inform” the patient.Results: All medical students and 96% of law students favoured information about the diagnosis of cancer if the patient requests it. Seventy four per cent of medical students and 82% of law students favoured informing a cancer patient about his or her prognosis . Thirty five per cent of law students and 11.7% of medical students favoured telling about the diagnosis and 25.6% of law students and 7% of medical students favoured telling about the prognosis even if the patient had clearly expressed his wish not to be informed. Law students indicated significantly more often than medical students reasons to do with the patient’s good, legal obligations, and the physician’s obligation to tell the truth, and significantly less often than medical students that their attitude had been determined predominantly by respect for the autonomous choice of the patient.Conclusion: Differences in attitudes according to the type of case and the type of studies were related to convictions about the benefit or harm to the patient caused by being given information. The self reported reasons of future physicians and future lawyers are helpful when considering means to achieve a better acceptance of patients’ right to know and not to know. (shrink)

As I had rejected en bloc references to Bacchanalia as indications of date, it was a mere chance which led me, after the above had left my hands, to look up Cas. 980 ‘ nunc Bacchae nullae ludunt,’ quoted in Schanz, R. Lit.3, p. 78. As this affords an excellent opportunity of testing my conclusions, perhaps a word or two will not be out of place.

We apply an online optimization process based on machine learning to the production of Bose-Einstein condensates. BEC is typically created with an exponential evaporation ramp that is optimal for ergodic dynamics with two-body s-wave interactions and no other loss rates, but likely sub-optimal for real experiments. Through repeated machine-controlled scientific experimentation and observations our ’learner’ discovers an optimal evaporation ramp for BEC production. In contrast to previous work, our learner uses a Gaussian process to develop a statistical model of the (...) relationship between the parameters it controls and the quality of the BEC produced. We demonstrate that the Gaussian process machine learner is able to discover a ramp that produces high quality BECs in 10 times fewer iterations than a previously used online optimization technique. Furthermore, we show the internal model developed can be used to determine which parameters are essential in BEC creation and which are unimportant, providing insight into the optimization process of the system. (shrink)

We discuss a recent approach to investigating cognitive control, which has the potential to deal with some of the challenges inherent in this endeavour. In a model-based approach, the researcher defines a formal, computational model that performs the task at hand and whose performance matches that of a research participant. The internal variables in such a model might then be taken as proxies for latent variables computed in the brain. We discuss the potential advantages of such an approach for the (...) study of the neural underpinnings of cognitive control and its pitfalls, and we make explicit the assumptions underlying the interpretation of data obtained using this approach. (shrink)

Drawing from the Boulding''s (1956) framework for general systems theory, the need to employ richer paradigm in the study of organizations (Pondy and Mitroff, 1979) is reiterated. It is argued that a better understanding of organizational ethical behavior is contingent upon viewing organizations as symbol processing systems of shared language and meanings. Further, it is proposed that organizations, like individuals, develop into collectivities of shared cognitions and rationale, over a period of time. The study adapts Kohlberg''s (1983) model of moral (...) development to examine if organizations can be viewed as passing through different stages of moral development depending on the type of moral reasoning employed to explain their behaviors in the face of ethical crises. Several cases raising questions about the ethics of corporate behavior were researched. An instrument entitled Organization Response Analysis was constructed using statements made by various spokespersons representing five of these organizations. The instrument was administered to 246 graduate and undergraduate students of business (N = 246). Results indicated a great degree of concurrence among respondents of differing genders, levels of education and work experience in determining the stages of moral development of organizations. Limitations of the current study and implications for future research and practice are discussed. (shrink)