Building and Commissioning of the CMS Pixel Barrel Detector

The CMS pixel barrel detector is a complex system that consists of 768 segmented silicon sensor modules. The total number of readout channels in the system is about 48 million. An overview on the module assembly and qualification procedures as well as testing results will be presented. The assembly of the detector control and readout electronics on the supply tube, the integration of the final system and the installation into CMS will be explained. The strategy and results from the early commissioning of the complete system that includes the performance of the hardware and the data acquisition and control software will be reviewed

Introducing Preference-Based Argumentation to Inconsistent Ontological Knowledge Bases

International audienceHandling inconsistency is an inherent part of decision making in traditional agri-food chains – due to the various concerns involved. In order to explain the source of inconsistency and represent the existing conflicts in the ontological knowledge base, argumentation theory can be used. However, the current state of art methodology does not allow to take into account the level of significance of the knowledge expressed by the various ontological knowledge sources. We propose to use preferences in order to model those differences between formulas and evaluate our proposal practically by implementing it within the INRA platform and showing a use case using this formalism in a bread making decision support system

Abstract Games of Argumentation Strategy and Game-Theoretical Argument Strength

We define a generic notion of abstract games of argumentation strategy for (attack-only and bipolar) argumentation frameworks, which are zero-sum games whereby two players put forward sets of arguments and get a reward for their combined choices. The value of these games, in the classical game-theoretic sense, can be used to define measures of (quantitative) game-theoretic strength of arguments, which are different depending on whether either or both players have an “agenda” (i.e. an argument they want to be accepted). We show that this general scheme captures as a special instance a previous proposal in the literature (single agenda, attack-only frameworks), and seamlessly supports the definition of a spectrum of novel measures of game-theoretic strength where both players have an agenda and/or bipolar frameworks are considered. We then discuss the applicability of these instances of game-theoretic strength in different contexts and analyse their basic properties

Cytogenetic studies of Brazilian pediatric myelodysplastic syndrome cases: challenges and difficulties in a large and emerging country

Myelodysplastic syndromes (MDS) and juvenile myelomonocytic leukemia (JMML) are rare hematopoietic stem cell diseases affecting children. Cytogenetics plays an important role in the diagnosis of these diseases. We report here the experience of the Cytogenetic Subcommittee of the Brazilian Cooperative Group on Pediatric Myelodysplastic Syndromes (BCG-MDS-PED). We analyzed 168 cytogenetic studies performed in 23 different cytogenetic centers; 84 of these studies were performed in patients with confirmed MDS (primary MDS, secondary MDS, JMML, and acute myeloid leukemia/MDS+Down syndrome). Clonal abnormalities were found in 36.9% of the MDS cases and cytogenetic studies were important for the detection of constitutional diseases and for differential diagnosis with other myeloid neoplasms. These data show the importance of the Cooperative Group for continuing education in order to avoid a late or wrong diagnosis.Univ São Paulo, Fac Med, Dept Hematol, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Hematol, São Paulo, BrazilUniv São Paulo, Fac Med, Dept Hematol, Lab Citogenet, São Paulo, BrazilUniversidade Federal de São Paulo, Inst Oncol Pediat, São Paulo, BrazilUniv Estadual Paulista, Fac Med Botucatu, Dept Clin Med, Botucatu, SP, BrazilHosp Canc Barretos, Barretos, SP, BrazilCtr Tratamento Fabiana Macedo de Morais, Grp Assistencia Crianca Canc, Grp Cooperat Brasileiro Sindrome Mielodisplas Ped, Sao Jose Dos Campos, SP, BrazilUniversidade Federal de São Paulo, Dept Hematol, São Paulo, BrazilUniversidade Federal de São Paulo, Inst Oncol Pediat, São Paulo, BrazilWeb of Scienc

Computing Argument Preferences and Explanations in Abstract Argumentation

Financial support from The UK Engineering and Physical Sciences Research Council (EPSRC) for the grant (EP/P011829/1), Supporting Security Policy with Effective Digital Intervention (SSPEDI) is gratefully acknowledged.Postprin

Dialogue games for explaining medication choices

SMT solvers can be used efficiently to search for optimal paths across multiple graphs when optimising for certain resources. In the medical context, these graphs can represent treatment plans for chronic conditions where the optimal paths across all plans under consideration are the ones which minimize adverse drug interactions. The SMT solvers, however, work as a black-box model and there is a need to justify the optimal plans in a human-friendly way. We aim to fulfill this need by proposing explanatory dialogue protocols based on computational argumentation to increase the understanding and trust of humans interacting with the system. The protocols provide supporting reasons for nodes in a path and also allow counter reasons for the nodes not in the graph, highlighting any potential adverse interactions during the dialogue.Postprin

A survey on managing users' preferences in ambient intelligence

Understanding the importance of preference management in ambient intelligent environments is key to providing systems that are better prepared to meet users' expectations. This survey provides an account of the various ways that preferences have been handled in Artificial Intelligence. Our analysis indicates that most of those techniques lack the ability to handle ambiguity and the evolution of preferences over time. Further exploration shows that argumentation can provide a feasible solution to complement existing work. We illustrate our claim by using an intelligent environment case study