There is a growing body of writing, for instance from the nursing profession, espousing an approach to ethics based on care. I suggest that this approach is hopelessly vague and that the vagueness is due to an inadequate analysis of the concept of care. An analysis of 'care' and related terms suggests that care is morally neutral. Caring is not good in itself, but only when it is for the right things and expressed in the right way. 'Caring' ethics assumes (...) wrongly that caring is good, thus it can tell us neither what constitutes those right things, nor what constitutes the right way. (shrink)

This article examines the origin of experiential organization, especially whether it is salient or selective. Aron Gurwitsch believes it is salient and William James that it is selective. I argue that Gurwitsch is right, and recount his argument and his critique of James, but I also pose my own critique and critical questions on the issue. -/- Gurwitsch's argument attempts to show that the organization of consciousness is not arbitrary or merely selected in some way by the subject. He claims (...) that when consciousness is organized it is found as already organized. -/- This is important for Gurwitsch's philosophical system because if he can establish that consciousness is always originally organized, then his famous claim that the theme, thematic-field, margin structure of consciousness is an invariant patterning impervious to the subject's whim, mood, or possible noetic training, is protected at the very start. (shrink)

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)

RESUMENporque somos finitos, porque hay límite, hay sentido. Asimismo, en la medida que precisamente somos, constituyendo tal límite, hay comunidad. Aquello que la configura es el despliegue del sentido. Con lo del sentido, lo que se aborda aquí es la esencia de una misma comunidad, una comunidad sin nombre. En este trabajo se revela la intensidad de su despliegue, en su cierre (Schmitt) y apertura (Derrida).PALABRAS CLAVESentido, finitud, decisión, Schmitt, DerridaABSTRACTBecause we are finite, because there is limit, there is sense. (...) Likewise, insofar as we are precisely, constituting such limit, there is community. It is the display of sense what forms it. With the sense issue, what we approach here is the essence of a community itself, a community without name. In this work we disclose the intensity of its display, in its closing (Schmitt) and opening (Derrida).KEYWORDSSense, finiteness, decision, Schmitt, Derrida. (shrink)