Studies of jet mass in dijet and W/Z plus jet events

This is the pre-print version of the final published paper that is available from the link below.Invariant mass spectra for jets reconstructed using the anti-kT and Cambridge-Aachen algorithms are studied for different jet “grooming” techniques in data corresponding to an integrated luminosity of 5 fb-1, recorded with the CMS detector in proton-proton collisions at the LHC at a center-of-mass energy of 7TeV. Leading-order QCD predictions for inclusive dijet and W/Z+jet production combined with parton-shower Monte Carlo models are found to agree overall with the data, and the agreement improves with the implementation of jet grooming methods used to distinguish merged jets of large transverse momentum from softer QCD gluon radiation

Schizophrenia: synthetic strategies and recent advances in drug design

YesSchizophrenia is a complex and unpredictable mental disorder which affects several domains of cognition and behaviour. It is a heterogeneous illness characterised by positive, negative, and cognitive symptoms, often accompanied by signs of depression. In this tutorial review, we discuss recent progress in understanding the target sites and mechanisms of action of second-generation antipsychotic drugs. Progress in identifying and defining target sites has been accelerated recently by advances in neuroscience, and newly developed agents that regulate signalling by the main excitatory neurotransmitters in the brain are surveyed. Examples of novel molecules for the treatment of schizophrenia in preclinical and clinical development and their industrial sponsors are highlighted.The Royal Society, The Academy of Medical Sciences, The Wellcome Trust, The Government Department of Business, Energy and Industrial Strategy and the British Heart Foundation, The University of Bradford

Multi-objective Exploration and Search for Autonomous Rescue Robots

"Exploration and search" is a typical task for autonomous robots performing in rescue missions, specifically addressing the problem of exploring the environment and at the same time searching for interesting features within the environment. In this paper, we model this problem as a multi-objective exploration and search problem and present a prototype system, featuring a strategic level, which can be used to adapt the task of exploration and search to specific rescue missions. Specifically, we make use of high-level representation of the robot plans through a Petri Net formalism that allows representing in a coherent framework decisions, loops, interrupts due to unexpected events or action failures, concurrent actions, and action synchronization. While autonomous exploration has been investigated in the past, we specifically focus on the problem of searching interesting features in the environment during the map building process. We discuss performance evaluation of exploration and search strategies for rescue robots, by using an effective performance metric, and present evaluation of our system through a set of experiments