The effects of natural selection as a process in natural populations differs from ''survival of the fittest'' as it was formulated by Darwin in his ''Origin of Species''. The environment of a population exists of continuous changing conditions, which are heterogeneous in space. During its life each individual successively meets with differing conditions. During these confrontations the individual may appear to be ''unfit'' or ''unlucky'' and may die. If it survives it will meet the following conditions to which it is (...) ''tested'' anew, a.s.o. Hence, many individuals being less fit under certain conditions will survive and reproduce, because they did not meet a deadly moment. Therefore, being ''fit'' only refers to special prevalent conditions. In each generation the individuals thus being ''unfit'' will be eliminated together with the ''unlucky'' ones. All other individuals will survive and reproduce, notwithstanding their properties.Hence, natural selection results in the ''non-survival of the non-fit'' rather than in ''survival of the fittest'', because being ''fit'' simply means ''having survived and reproduced'', whereas being ''unfit'' can be connected with many kinds of properties and environmental conditions, e.g. being killed by a predator. Only after many generations (hundreds or even thousands) the effect of eventually dominating properties of the survivors may result in a set of properties suggesting an overall ''survival of the fittest''. This was what Darwin wanted to explain as he was mainly interested in evolutionary processes. (shrink)

Patients with schizophrenia have an impairment in the inhibition of reflexive saccades, as a consequence of a functional impairment of the prefrontal cortex, which has not yet been encapsulated in terms of a formal model. A number of novel and testable hypotheses can be generated from the framework proposed by Findlay & Walker that will stimulate further research. Their framework therefore marks an important step in the development of a comprehensive functional model of saccadic eye movements. Further advances will be (...) assisted by (1) a recognition of important distinctions in the executive control of volitional saccades and (2) addressing the capacity for cross-model integration of spatial information in the generation of the spatial properties of saccadic eye movements. (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)

The expansion of livestock production throughout the world has led to increased demand for high protein animal feed. This expansion has created economic benefits for livestock farmers and other actors in the chain, but also resulted in environmental and social side effects. This study aims to identify a set of sustainability issues that cover the environmental, economic and social dimensions of soymeal and beef production chains. The method applied combines the results of multiple studies, including a literature review and stakeholder (...) surveys. Stakeholder surveys were conducted for three different interest groups and two geographical regions . Our results reveal that the selection of issues in most sustainability assessment studies is a relatively arbitrary decision, while the literature also states that identifying issues is an important step in a sustainability assessment. Defining sustainability issues from a whole chain perspective is important, as issues of sustainability emerge at various stages along the production chain, and are found to vary across stakeholders’ interests. Business stakeholders, for example, perceived economic issues to be more important, whereas the majority of consumer stakeholders and other stakeholders perceived social and environmental issues, respectively, to be more important. Different education levels, knowledge, and living patterns in various geographical regions can affect the stakeholders’ perceptions. The combination of a heterogeneous group of stakeholders and the consideration of multiple chain stages constitutes a useful approach to identify sustainability issues along food chains. (shrink)

In this article, an ethical analysis of an educational programme on renal replacement therapy options for patients and their social network is presented. The two main spearheads of this approach are: (1) offering an educational programme on all renal replacement therapy options ahead of treatment requirement and (2) a home-based approach involving the family and friends of the patient. Arguments are offered for the ethical justification of this approach by considering the viewpoint of the various stakeholders involved. Finally, reflecting on (...) these ethical considerations, essential conditions for carrying out such a programme are outlined. The goal is to develop an ethically justified and responsible educational programme. (shrink)