A Graph Theory Approach for Regional Controllability of Boolean Cellular Automata

Controllability is one of the central concepts of modern control theory that allows a good understanding of a system's behaviour. It consists in constraining a system to reach the desired state from an initial state within a given time interval. When the desired objective affects only a sub-region of the domain, the control is said to be regional. The purpose of this paper is to study a particular case of regional control using cellular automata models since they are spatially extended systems where spatial properties can be easily defined thanks to their intrinsic locality. We investigate the case of boundary controls on the target region using an original approach based on graph theory. Necessary and sufficient conditions are given based on the Hamiltonian Circuit and strongly connected component. The controls are obtained using a preimage approach

Pairs trading profitability and style investing

This dissertation studies the performance of the pairs trading strategy in the US stock market between 1962 and 2013. We find that this strategy remains profitable up to the current days, though these profits have been gradually falling. We show that investors are able to outperform the pure statistical arbitrage strategy, if they restrict the pairs matching to same-industry stocks, as they benefit from permanent links. Foremost, we find that industry, size, momentum and volatility style investors benefit from this strategy

Building bridges between doctors and patients: the design and pilot evaluation of a training session in argumentation for chronic pain experts

Shared decision-making requires doctors to be competent in exchanging views with patients to identify the appropriate course of action. In this paper we focus on the potential of a course in argumentation as a promising way to empower doctors in presenting their viewpoints and addressing those of patients. Argumentation is the communication process in which the speaker, through the use of reasons, aims to convince the interlocutor of the acceptability of a viewpoint. The value of argumentation skills for doctors has been addressed in the literature. Yet, there is no research on what a course on argumentation might look like. In this paper, we present the content and format of a training session in argumentation for doctors and discuss some insights gained from a pilot study that examined doctors' perceived strengths and limitations vis-à-vis this training

Transcriptome and proteome mapping in the sheep atria reveal molecular featurets of atrial fibrillation progression

This work was supported by the Spanish government (BFU2017-84914-P to M.M.; FPI Fellowship to A.A.-F.; FPU Fellowship to R.R.), and in part by grants to J.J. from the National Heart, Lung and Blood Institute (R01 grant HL122352 NIH/NHLBI), the Leducq Foundation (Transatlantic Network of Excellence Program on Structural Alterations in the Myocardium and the Substrate for Cardiac Fibrillation), and the University of Michigan Health System-Peking University Health Science Center Joint Institute for Translational and Clinical Research (UMHS-PUHSC; project: Molecular Mechanisms of Fibrosis and the Progression from Paroxysmal to Persistent Atrial Fibrillation). The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia e Innovacio ' n and the Pro CNIC Foundation and is a Severo Ochoa Center of Excellence (SEV-2015-0505).Aims Atrial fibrillation (AF) is a progressive cardiac arrhythmia that increases the risk of hospitalization and adverse cardiovascular events. There is a clear demand for more inclusive and large-scale approaches to understand the molecular drivers responsible for AF, as well as the fundamental mechanisms governing the transition from paroxysmal to persistent and permanent forms. In this study, we aimed to create a molecular map of AF and find the distinct molecular programmes underlying cell type-specific atrial remodelling and AF progression. Methods and results We used a sheep model of long-standing, tachypacing-induced AF, sampled right and left atrial tissue, and isolated cardiomyocytes (CMs) from control, intermediate (transition), and late time points during AF progression, and performed transcriptomic and proteome profiling. We have merged all these layers of information into a meaningful three-component space in which we explored the genes and proteins detected and their common patterns of expression. Our data-driven analysis points at extracellular matrix remodelling, inflammation, ion channel, myofibril structure, mitochondrial complexes, chromatin remodelling, and genes related to neural function, as well as critical regulators of cell proliferation as hallmarks of AF progression. Most important, we prove that these changes occur at early transitional stages of the disease, but not at later stages, and that the left atrium undergoes significantly more profound changes than the right atrium in its expression programme. The pattern of dynamic changes in gene and protein expression replicate the electrical and structural remodelling demonstrated previously in the sheep and in humans, and uncover novel mechanisms potentially relevant for disease treatment. Conclusions Transcriptomic and proteomic analysis of AF progression in a large animal model shows that significant changes occur at early stages, and that among others involve previously undescribed increase in mitochondria, changes to the chromatin of atrial CMs, and genes related to neural function and cell proliferation.Spanish Government European Commission BFU2017-84914-PUnited States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Heart Lung & Blood Institute (NHLBI) HL122352 NIH/NHLBILeducq FoundationUniversity of Michigan Health System-Peking University Health Science Center Joint Institute for Translational and Clinical Research (UMHS-PUHSC)Instituto de Salud Carlos III European Commission Instituto de Salud Carlos III Spanish Government European CommissionPro CNIC FoundationSevero Ochoa Center of Excellence SEV-2015-050

Publishing and impact criteria, and their bearing on translation studies : in search of comparability

This paper questions the current concept of quality as used in research assessment rankings and peer review, with special reference to the link often established between impact and the way this impact is measured in the form of citation counting. Taking translation studies as a case study, we will offer a two-level approach to reveal both the macro- and micro-level biases that exist in this regard. We will first review three key aspects related to the idea of the quality of publications, namely peer review, journal indexing, and journal impact factor. We will then pinpoint some of the main macro-level problems regarding current practices and criteria as applied to translation studies, such as Thomson Reuters World of Science's journal coverage, citation patterns, and publication format. Next we will provide a micro-textual and practical perspective, focusing on citation counts and suggesting a series of corrective measures to increase comparabilit

Lazy Evaluation of Negative Preconditions in Planning Domains (Extended Abstract)

AI planning technology faces performance issues with large-scale problems with negative preconditions. In this extended abstract, we show how to leverage the power of the Finite Domain Representation (FDR) used by the popular Fast Downward planner for such domains. FDR improves scalability thanks to its use of multi-valued state variables. However, it scales poorly when dealing with negative preconditions. We propose an alternative hybrid approach that evaluates negative preconditions on the fly during search but only when strictly needed. This is compared to the traditional use of PDDL bookmark predicates, which increases memory usage