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The Shortest Vector Problem (SVP) is one of the mathematical foundations of lattice based cryptography. Lattice sieve algorithms are amongst the foremost methods of solving SVP. The asymptotically fastest known classical and quantum sieves solve SVP in a $d$-dimensional lattice in $2^{\const d + \smallo(d)}$ time steps with $2^{\const' d + \smallo(d)}$ memory for constants $c, c'$. In this work, w

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In this paper, a unique event is studied: the opening of Bank of Canada in 1935, the central bank note issuance monopoly and its impact on the note issuing chartered banks. Between 1935-1950, Canadian chartered banks had to gradually withdraw their notes from circulation. In a difference-in-differences analysis, I show that chartered banks constrained by new issuance limits experienced higher vola

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IntroductionAn overview of the different hybrid-processes combining pervaporation with a conventional separation as a tool to recover organic compounds from waste water will be given. Analysing potential applications shows that pervaporation alone will rarely be economical due to the purity required nowadays in waste water treatment. The limitation on flux owing to the activity being the driving

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Background: The relevance of PTSD symptoms to outcomes of Cognitive Behavioral Therapy (CBT) for chronic pain is unclear. This study examines whether (a) traumatic exposure or the severity of PTSD symptoms at pre‐treatment predict outcomes (pain intensity/interference) (b) participation in this treatment is associated with reduced PTSD symptoms, and (c) any observed changes in PTSD symptoms are me

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Introduction: Case–control analyses have shown BARD1 variants to be associated with up to >2-fold increase in risk of breast cancer, and potentially greater risk of triple negative breast cancer. BARD1 is included in several gene sequencing panels currently marketed for the prediction of risk of cancer, however there are no gene-specific guidelines for the classification of BARD1 variants. We pres

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Purpose: To examine the effects of Treatment Foster Care on youth with serious behavior problems. Method: Included studies are controlled trials with high or medium quality, published between 1990 and September 2017. The control group consists of youth with serious behavior problems in group care, and the follow-up time was at least 12 months. The review also examines ethical and economic aspects.

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MOTIVATION: Transcription factors (TFs) are key regulators of gene expression, and can activate or repress multiple target genes, forming regulatory units, or regulons. Understanding downstream effects of these regulators includes evaluating how TFs cooperate or compete within regulatory networks. Here we present RTNduals, an R/Bioconductor package that implements a general method for analyzing pa

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Purpose: Current approaches to sustainability science and education focus on (assessing and addressing) the external world of ecosystems, wider socio-economic structures, technology and governance dynamics. A major shortcoming of such approaches is the neglect of inner dimensions and capacities (which constrains education for sustainability as an end), and a limited capacity to facilitate reflecti

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Most crime scene DNA evidence is retrieved using cotton swabs. Since the late 90’s, the double-swab technique has been favoured by many practitioners throughout the world. However, the superiority of double-swabbing over applying single wet swabs has not been broadly verified. Here we set out to evaluate the need for the second dry swab for various surfaces, aiming at mimicking the range of surfac

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This volume is a special issue with contributions that stem from the collaborations of the 2018 AESOP PhD workshop, held 5-8 July at Tjärö island, Sweden. The overarching aim of the workshop was to establish inclusive spaces for dialogue and collaboration between PhD students across countries and continents on issues that pertained to the AESOP’s 2018 congress theme “Making space for hope”. Furthe

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We present a novel family of deep neural architectures, named partially exchangeable networks (PENs) that leverage probabilistic symmetries. By design, PENs are invariant to block-switch transformations, which characterize the partial exchangeability properties of conditionally Markovian processes. Moreover, we show that any block-switch invariant function has a PEN-like representation. The DeepSe

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In the social sciences, many quantitative research findings as well as presentations of demographics are related to participants’ gender. Most often, gender is represented by a dichotomous variable with the possible responses of woman/man or female/male, although gender is not a binary variable. It is, however, rarely defined what is meant by gender. In this article, we deconstruct the concept ‘ge

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Background: Genetic disorders causing dystonia show great heterogeneity. Recent studies have suggested that next-generation sequencing techniques such as gene panel analysis can be effective in diagnosing heterogeneous conditions. The objective of this study was to investigate whether dystonia patients with a suspected genetic cause could benefit from the use of gene panel analysis. Methods: In th

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This paper presents a systematic approach for 3-dimensional (3d) scene modeling based on Time-of-Flight (TOF) technology. Firstly the panoramic point cloud of scene model is built. To achieve that, point cloud data captured in different visual angles are transformed and registered into a panoramic 3d coordinate system. Based on the matching characteristics of feature points in various point clouds

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Fear of childbirth (FOC) can lead to maternal distress during and after pregnancy. The aim of this randomized controlled trial (RCT) was to examine whether art therapy as an adjunct to midwife-led counseling (study group) could reduce FOC significantly more than midwife-led counseling alone (control group). The on-treatment analysis included 82 women assessed by the Wijma Delivery Expectancy Quest

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The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation models. All such models are drop-based and do not ensure continuity of channel parameters. In this paper, we quantify the impact of spatially consistent (SC) models

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To land, flying animals must simultaneously reduce speed and control their path to the target. While the control of approach speed has been studied in many different animals, little is known about the effect of target size on landing, particularly for small targets that require precise trajectory control. To begin to explore this, we recorded the stingless bees Scaptotrigona depilis landing on the