Many argue that transgenic technology will have wide-ranging implications for farmers in developing nations. A key concern is that competencies may be destroyed by predominantly foreign multinational transgenic technologies, exacerbating problems of social exclusion in the case of subsistence farmers. Conversely, those that fail to adopt the technology may become uncompetitive, particularly in commodity-based export markets. Drawing on interview data conducted in Brazil and supporting data collected in North America, Europe and China, we found that the impact of transgenic technology (...) varies. It has less impact on farmers that adapt the products to their crop systems and environment, and greater negative implications for less formally educated subsistence farmers in consequence of both complexity and compatibility. Earlier attempts at industrializing agriculture through technological innovation led to vastly improved agricultural output and exports, but the benefits of productivity was not equitably distributed [D. Lee: 2005, American Journal of Agricultural Economics 87, 1325-1334], nor was it designed to meet specific local environmental and socioeconomic farmer conditions, exacerbating social exclusion. Multinationals attempting to introduce transgenic technology without considering the broader social and ethical implications will invite resistance. We discuss the implications for policy makers, multinationals and small-scale farmers. (shrink)

Peter Abelard (1079–1142 ce) was the most wide‐ranging philosopher of the twelfth century. He quickly established himself as a leading teacher of logic in and near Paris shortly after 1100. After his affair with Heloise, and his subsequent castration, Abelard became a monk, but he returned to teaching in the Paris schools until 1140, when his work was condemned by a Church Council at Sens. His logical writings were based around discussion of the “Old Logic”: Porphyry's Isagoge, aristotle'S Categories and (...) On Interpretation and boethius'S textbook on topical inference. They comprise a freestanding Dialectica (“Logic”; probably c.1116), a set of commentaries (known as the Logica [Ingredientibus], c. 1119) and a later (c. 1125) commentary on the Isagoge (Logica Nostrorum Petititoni Sociorum or Glossulae). In a work Abelard called his Theologia, issued in three main versions (between 1120 and c.1134), he attempted a logical analysis of trinitarian relations and explored the philosophical problems surrounding God's claims to omnipotence and omniscience. The Collationes (“Debates,” also known as “Dialogue between a Christian, a Philosopher and a Jew”; probably c.1130) present a rational investigation into the nature of the highest good, in which the Christian and the Philosopher (who seems to be modeled on a philosopher of pagan antiquity) are remarkably in agreement. The unfinished Scito teipsum (“Know thyself,” also known as the “Ethics”; c.1138) analyses moral action. (shrink)

By constructing a maximal incomplete d.r.e. degree, the nondensity of the partial order of the d.r.e. degrees is established. An easy modification yields the nondensity of the n-r.e. degrees and of the ω-r.e. degrees.

The field, as Steven Cooper describes it, is comprised of the inextricably related worlds of internalized object relations and interpersonal interaction. Furthermore, the analytic dyad is neither static nor smooth sailing. Eventually, the rigorous work of psychoanalysis will offer a fraught opportunity to work through the most disturbing elements of a patient's inner life as expressed and experienced by the analyst - indeed, a disturbance in the field. How best to proceed when such tricky yet altogether common therapeutic situations (...) arise, and what aspects of transference/countertransference should be explored in the service of continued, productive analysis? These are two of the questions that Steven Cooper explores in this far-ranging collection of essays on potentially thorny areas of the craft. His essays try to locate some of the most ineffable types of situations for the analyst to take up with patients, such as the underlying grandiosity of self-criticism; the problems of too much congruence between what patients fantasize about and analysts wish to provide; and the importance of analyzing hostile and aggressive aspects of erotic transference. He also tries to turn inside-out the complexity of hostile transference and countertransference phenomena to find out more about what our patients are looking for and repudiating. Finally, Cooper raises questions about some of our conventional definitions of what constitutes the psychoanalytic process. Provocatively, he takes up the analyst's countertransference to the psychoanalytic method itself, including his responsibility and sources of gratification in the work. It is at once a deeply clinical book and one that takes a post-tribal approach to psychoanalytic theory - relational, contemporary Kleinian, and contemporary Freudian analysts alike will find much to think about and debate here. (shrink)

This paper describes the application of eight statistical and machine-learning methods to derive computer models for predicting mortality of hospital patients with pneumonia from their findings at initial presentation. The eight models were each constructed based on 9847 patient cases and they were each evaluated on 4352 additional cases. The primary evaluation metric was the error in predicted survival as a function of the fraction of patients predicted to survive. This metric is useful in assessing a model’s potential to assist (...) a clinician in deciding whether to treat a given patient in the hospital or at home. We examined the error rates of the models when predicting that a given fraction of patients will survive. We examined survival fractions between 0.1 and 0.6. Over this range, each model’s predictive error rate was within 1% of the error rate of every other model. When predicting that approximately 30°K of the patients will survive, all the models have an error rate of less than 1.5%. The models are distinguished more by the number of variables and parameters that they contain than by their error rates; these differences suggest which models may be the most amenable to future implementation as paper-based guidelines. (shrink)