Introduction to Nietzsche on Mind and Nature

This chapter provides summaries of the chapter of this book and introduces the major themes and debates addressed in the volume. Discussed are Nietzsche’s metaphysics; his philosophy of mind in light of contemporary views; the question of panpsychism of Beyond Good and Evil 36; the rejection of dualism in favour of monism, in particular a monism of value; Nietzsche’s positions on consciousness and embodied cognition in light of recent cognitive science; a conception of freedom and agency based on an intrinsically motivating; embodied sense of self-efficacy; a Nietzschean account of valuing understood as drive-induced affective orientations of which an agent approves; the idea of ressentiment conceived as a process of intentional, not reflectively strategic, self-deception about one’s own conscious mental states; and a defence of a Nietzschean naturalism

Plateau Inflation from Random Non-Minimal Coupling

A generic non-minimal coupling can push any higher-order terms of the scalar potential sufficiently far out in field space to yield observationally viable plateau inflation. We provide analytic and numerical evidence that this generically happens for a non-minimal coupling strength $\xi$ of the order $N_e^2$. In this regime, the non-minimally coupled field is sub-Planckian during inflation and is thus protected from most higher-order terms. For larger values of $\xi$, the inflationary predictions converge towards the sweet spot of PLANCK. The latter includes $\xi\simeq 10^4$ obtained from CMB normalization arguments, thus providing a natural explanation for the inflationary observables measured.Comment: 9 pages, twocolumn, some figures; v2: 1 figure and appendix added, jcap layou

More rapid climate change promotes evolutionary rescue through selection for increased dispersal distance

Acknowledgements This research was funded by FWO projects G.0057.09 to DB and JB, and G.0610.11 to DB, JB and RS. JMJT, DB and RS are supported by the FWO Research Network EVENET.Peer reviewedPublisher PD

The contemporary role of blood products and components used in trauma resuscitation

<p>Abstract</p> <p>Introduction</p> <p>There is renewed interest in blood product use for resuscitation stimulated by recent military experience and growing recognition of the limitations of large-volume crystalloid resuscitation.</p> <p>Methods</p> <p>An editorial review of recent reports published by investigators from the United States and Europe is presented. There is little prospective data in this area.</p> <p>Results</p> <p>Despite increasing sophistication of trauma care systems, hemorrhage remains the major cause of early death after injury. In patients receiving massive transfusion, defined as 10 or more units of packed red blood cells in the first 24 hours after injury, administration of plasma and platelets in a ratio equivalent to packed red blood cells is becoming more common. There is a clear possibility of time dependent enrollment bias. The early use of multiple types of blood products is stimulated by the recognition of coagulopathy after reinjury which may occur as many as 25% of patients. These patients typically have large-volume tissue injury and are acidotic. Despite early enthusiasm, the value of administration of recombinant factor VIIa is now in question. Another dilemma is monitoring of appropriate component administration to control coagulopathy.</p> <p>Conclusion</p> <p>In patients requiring large volumes of blood products or displaying coagulopathy after injury, it appears that early and aggressive administration of blood component therapy may actually reduce the aggregate amount of blood required. If recombinant factor VIIa is given, it should be utilized in the fully resuscitated patient. Thrombelastography is seeing increased application for real-time assessment of coagulation changes after injury and directed replacement of components of the clotting mechanism.</p

Scaling Ant Colony Optimization with Hierarchical Reinforcement Learning Partitioning

This research merges the hierarchical reinforcement learning (HRL) domain and the ant colony optimization (ACO) domain. The merger produces a HRL ACO algorithm capable of generating solutions for both domains. This research also provides two specific implementations of the new algorithm: the first a modification to Dietterich\u27s MAXQ-Q HRL algorithm, the second a hierarchical ACO algorithm. These implementations generate faster results, with little to no significant change in the quality of solutions for the tested problem domains. The application of ACO to the MAXQ-Q algorithm replaces the reinforcement learning, Q-learning and SARSA, with the modified ant colony optimization method, Ant-Q. This algorithm, MAXQ-AntQ, converges to solutions not significantly different from MAXQ-Q in 88% of the time. This research then transfers HRL techniques to the ACO domain and traveling salesman problem (TSP). To apply HRL to ACO, a hierarchy must be created for the TSP. A data clustering algorithm creates these subtasks, with an ACO algorithm to solve the individual and complete problems. This research tests two clustering algorithms, k-means and G-means. The results demonstrate the algorithm with data clustering produces solutions 85-95% faster but with 5-10% decrease in solution quality

Re: Infection control in burn patients: are fungal infections underestimated?

A response to Struck MF. Infection control in burn patients: are fungal infections underestimated? Scand J Trauma Resusc Emerg Med. 2009 Oct 9;17(1):51. [Epub ahead of print] PubMed PMID: 19818134