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A search for heavy neutral Higgs bosons and Z′ bosons is performed using a data sample corresponding to an integrated luminosity of 36.1 fb−1 from proton-proton collisions at s=13 TeV recorded by the ATLAS detector at the LHC during 2015 and 2016. The heavy resonance is assumed to decay to τ+τ− with at least one tau lepton decaying to final states with hadrons and a neutrino. The search is perform

In this paper we present new techniques for constructing compact and robust minimal solvers for absolute pose estimation. We focus on the P4Pfr problem, but the methods we propose are applicable to a more general setting. Previous approaches to P4Pfr suffer from artificial degeneracies which come from their formulation and not the geometry of the original problem. In this paper we show how to avoi

This paper considers the problem of recovering either a low rank matrix or a sparse vector from observations of linear combinations of the vector or matrix elements. Recent methods replace the non-convex regularization with ℓ1 or nuclear norm relaxations. It is well known that this approach recovers near optimal solutions if a so called restricted isometry property (RIP) holds. On the other hand i

The results of a search for squarks and gluinos in final states with an isolated electron or muon, multiple jets and large missing transverse momentum using proton-proton collision data at a center-of-mass energy of √ = 13 TeV are presented. The data set used was recorded during 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider and corresponds to an integrated luminosity of 36.1 f

A scheme for exploiting cooperation in satellite receivers is proposed. The cooperation takes place through a capacity-constrained link, and we assume that a relay node quantizes its received signal and sends it to the destination node. We demonstrate its effectiveness with three different schemes on satellite channels with high-order APSK modulations. The first two schemes employ equidistant quan

In this paper, we present a time-recursive implementation of a recent hyperparameter-free group-sparse estimation technique. This is achieved by reformulating the original method, termed group-SPICE, as a square-root group-LASSO with a suitable regularization level, for which a time-recursive implementation is derived. Using a proximal gradient step for lowering the computational cost, the propose

We consider the over-fitting problem for multinomial probabilistic Latent Semantic Analysis (pLSA) in collaborative filtering, using a regularization approach. For big data applications, the computational complexity is at a premium and we, therefore, consider a maximum a posteriori approach based on conjugate priors that ensure that complexity of each step remains the same as compared to the un-re

Objective: The aim was to evaluate surgical routes for benign hysterectomy in a Swedish population, including abdominal and minimally invasive surgery. Study design: Prospectively collected data from the Swedish National GynOp Registry 2009–2015: 13 806 hysterectomy cases were included: abdominal (AH, n = 7485), vaginal (VH, n = 3767), conventional laparoscopic (LH, n = 1539) and robotically-assis

This synopsis covers evidence for the effects of conservation interventions for native farmland wildlife. It is restricted to evidence captured on the website www.conservationevidence.com. It includes papers published in the journal Conservation Evidence, evidence summarized on our database and systematic reviews collated by the Collaboration for Environmental Evidence. It is the thrid volume in t

The weaving together of fragments under the heading of a “weak” theme has a long tradition in research. The strategy has, however, not been so popular after the 19th century, even though advocates of a more modern fragmentology can be found, e.g. in Walter Benjamin. For Benjamin, the artefacts truly showed themselves only when the context had disappeared or been forgotten. In this article we would

In this paper we argue that the Wigner-Ville distribution (WVD), instead of the spectrogram, should be used as basic input into convolutional neural network (CNN) based classification schemes. The WVD has superior resolution and localization as compared to other time-frequency representations. We present a method where a large-size kernel may be learned from the data, to enhance features important

A novel feature extraction method for lowdimensional signal representation is presented. The features are useful for classification of non-stationary multi-component signals with stochastic variation in amplitudes and time-frequency locations. Using a penalty function to suppress the Wigner-Ville ambiguity function auto-terms, the proposed feature set is based on the cross-term doppler- and lag pr

The grounding objection to presentism rests on two premises: (i) every true proposition P has a truthmaker T, and (ii) some claims about the future and past are obviously true. However, if the future and past do not exist, there can be no truthmakers for future and past tensed expressions. Presentists tend not to challenge the premises of the objection. Instead they argue that the present contains

This article will present and discuss the process of digital co-production and audiences' responses to the full-scale interactive, gestural, visual and musical experience of a Virtual Reality arts play. This was inspired by cist-slab images from the Kivik Grave, which is Sweden's most famous Bronze Age grave. The aim of the VR arts play was to use digital technology to engage users as time-travell

A new approach to characterise the evolution and coupling of deformation and fluid flow in geomaterials is presented. The method exploits some key features of neutrons, namely penetration of dense materials used for triaxial pressure cells, sensitivity to hydrogen and the possibility to distinguish hydrogen from its isotope deuterium (in normal water, H2O, and heavy water, D2O, respectively). Illu