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Photodissociation of aligned CH3I and C6H3F2I molecules probed with time-resolved Coulomb explosion imaging by site-selective extreme ultraviolet ionization

We explore time-resolved Coulomb explosion induced by intense, extreme ultraviolet (XUV) femtosecond pulses from a free-electron laser as a method to image photo-induced molecular dynamics in two molecules, iodomethane and 2,6-difluoroiodobenzene. At an excitation wavelength of 267 nm, the dominant reaction pathway in both molecules is neutral dissociation via cleavage of the carbon-iodine bond. T

Search for dark matter and other new phenomena in events with an energetic jet and large missing transverse momentum using the ATLAS detector

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses proton-proton collision data corresponding to an integrated luminosity of 36.1 fb−1 at a centre-of-mass energy of 13 TeV collected in 2015 and 2016 with the ATLAS detector at the Large Hadron Collider. Events are required to have at least one jet with a tr

Search for additional heavy neutral Higgs and gauge bosons in the ditau final state produced in 36 fb−1 of pp collisions at √s=13 TeV with the ATLAS detector

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

Making Minimal Solvers for Absolute Pose Estimation Compact and Robust

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

Non-convex Rank/Sparsity Regularization and Local Minima

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

Search for squarks and gluinos in events with an isolated lepton, jets, and missing transverse momentum at √s=13 TeV with the ATLAS detector

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

On cooperation in DVB-S2X receivers through a capacity constrained link

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

Online group-sparse estimation using the covariance fitting criterion

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

Conjugate-prior-regularized multinomial pLSA for collaborative filtering

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

A Swedish population-based evaluation of benign hysterectomy, comparing minimally invasive and abdominal surgery

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

Farmland Conservation : Evidence for the effects of interventions in northern and western Europe

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

Catching glimpses : the fragment-anthology as a strategy for architectural research

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

Classification of one-dimensional non-stationary signals using the Wigner-Ville distribution in convolutional neural networks

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

Classification of bird song syllables using wigner-ville ambiguity function cross-terms

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

Challenging the grounding objection to presentism

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