Bdellovibrio predation in the presence of decoys:Three-way bacterial interactions revealed by mathematical and experimental analyses

Bdellovibrio bacteriovorus is a small, gram-negative, motile bacterium that preys upon other gram-negative bacteria, including several known human pathogens. Its predation efficiency is usually studied in pure cultures containing solely B. bacteriovorus and a suitable prey. However, in natural environments, as well as in any possible biomedical uses as an antimicrobial, Bdellovibrio is predatory in the presence of diverse decoys, including live nonsusceptible bacteria, eukaryotic cells, and cell debris. Here we gathered and mathematically modeled data from three-member cultures containing predator, prey, and nonsusceptible bacterial decoys. Specifically, we studied the rate of predation of planktonic late-log-phase Escherichia coli S17-1 prey by B. bacteriovorus HD100, both in the presence and in the absence of Bacillus subtilis nonsporulating strain 671, which acted as a live bacterial decoy. Interestingly, we found that although addition of the live Bacillus decoy did decrease the rate of Bdellovibrio predation in liquid cultures, this addition also resulted in a partially compensatory enhancement of the availability of prey for predation. This effect resulted in a higher final yield of Bdellovibrio than would be predicted for a simple inert decoy. Our mathematical model accounts for both negative and positive effects of predator-prey-decoy interactions in the closed batch environment. In addition, it informs considerations for predator dosing in any future therapeutic applications and sheds some light on considerations for modeling the massively complex interactions of real mixed bacterial populations in nature.

Reasoning Rights: Comparative judicial engagement

This edited book is about comparative reasoning in human rights cases, exploring the questions: How is it that notionally universal norms are reasoned by courts in such dramatically different ways? What is the shape of this reasoning? What techniques are common across the transnational jurisprudence? What techniques are diverse? With contributions by a team of world-leading human rights scholars, the book moves beyond simply addressing the institutional questions concerning courts and human rights, which too often dominate discussions of this kind. Instead, it seeks a deeper examination of the similarities and divergence in the content of reasons being developed by different courts when addressing comparable human rights questions. These differences, while partly influenced by institutional issues, cannot be attributable to them alone. The book explores the diverse and rich underlying spectrum of human rights reasoning, as a distinctive and particular form of legal reasoning, evident in the case studies across the selected jurisdictions. It is a fascinating study for all those interested in human rights law and legal reasoning.

Using Comparative Reasoning in Human Rights Adjudication:The Court of Justice of the European Union and the European Court of Human Rights Compared

This article examines the relationship between the methods that the European Court of Human Rights (ECtHR) and the Court of Justice of the European Union (CJEU) use to decide disputes that involve ‘human’ or ‘fundamental’ rights claims, and the substantive outcomes that result from the use of these particular methods. It has a limited aim: in attempting to understand the interrelationship between human rights methodology and human rights outcomes, it considers primarily the use of ‘comparative reasoning’ in ‘human’ and ‘fundamental’ rights claims by these courts. It is not primarily concerned with examining the extent to which the use of comparative reasoning is based on an appropriate methodology or whether there is a persuasive normative theory underpinning the use of comparative reasoning. The issues considered in this chapter do some of the groundwork, however, that is necessary in order to address these methodological and normative questions.

Kinect and Episodic Reasoning for Human Action Recognition

This paper presents a method for rational behaviour recognition that combines vision-based pose estimation with knowledge modeling and reasoning. The proposed method consists of two stages. First, RGB-D images are used in the estimation of the body postures. Then, estimated actions are evaluated to verify that they make sense. This method requires rational behaviour to be exhibited. To comply with this requirement, this work proposes a rational RGB-D dataset with two types of sequences, some for training and some for testing. Preliminary results show the addition of knowledge modeling and reasoning leads to a significant increase of recognition accuracy when compared to a system based only on computer vision.