Jaegwon Kim (1998a, 2005) claims that his exclusion problem follows a priori for the non-reductive physicalist given her commitment to five apparently inconsistent theses: mental causation, non-identity, supervenience, causal closure and non-overdetermination. For Kim, the combination of these theses entails that mental properties are a priori excluded as causes, forcing the non-reductive physicalist to accept either epiphenomenalism, or some form of reduction. In this thesis, I argue that Kim’s exclusion problem depends on a particular conception of causation, namely sufficient production, (...) and that when causation is understood in interventionist terms, the non-reductive physicalist can avoid the exclusion problem. I argue that Woodward’s (2003, 2008a, 2011a) version of interventionism not only provides an account of mental causation that avoids the exclusion problem, but argue that it also upholds all of the minimal commitments of non-reductive physicalism, thereby providing a successful non-reductive physicalist solution to the exclusion problem. In Chapter 2, I argue that all five theses are minimal commitments of non-reductive physicalism that cannot be rejected in order to avoid the exclusion problem. Chapter 3 identifies the assumptions that I take to underlie the exclusion problem. Chapter 4 introduces and outlines the central features of Woodward’s (2003) interventionism and Chapter 5 argues that Woodward’s interventionist account of mental causation provides a solution to the exclusion problem. I examine two alternative interventionist accounts of mental causation[1] that fail to provide satisfactory solutions to the exclusion problem and conclude that Woodward’s account therefore provides the only satisfactory account of mental causation and solution to the exclusion problem. Chapter 6 addresses some challenges proposed by Michael Baumgartner (2009, 2010) and argues that the interventionist is able to defend her position against these objections and uphold the interventionist solution to the exclusion problem outlined in this thesis. [1. Proposed by List and Menzies (2009) and Campbell (2007, 2008a, 2008b, 2010).]. (shrink)

Among the many potential benefits arising from the rapidly advancing field of nanomedicine is the possibility of a whole new range of nanovaccines in which novel delivery mechanisms utilizing nanoparticles could make obsolete the use of needles for administering any vaccine. However, as the massive resources of the worldwide pharmaceutical industry are deployed to develop nanovaccines, urgent questions arise as to which diseases should be targeted and which populations will benefit most. -/- This paper explores how such targeting of nanovaccines (...) might be decided in an ethically optimal way and considers some of the practical considerations and potential problems of implementing such a global nanovaccine policy. There seems little doubt that nanomedical research could develop vaccines against most major global infectious diseases. Throughout the history of medicine, however, it is well recognized that insufficient attention and resources have been given to public health and preventive medicine and the environmental causes of ill-health remain under-researched. We urge that national governments and regional authorities of wealthier countries incentivise their powerful pharmaceutical corporations to develop nanovaccines within a global and long term perspective and not just to focus on the diseases of the developed world. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)