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APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies

One important step in binary modeling of environmental problems is the generation of absence-datasets that are traditionally generated by random sampling and can undermine the quality of outputs. To solve this problem, this study develops the Absence Point Generation (APG) toolbox which is a Python-based ArcGIS toolbox for automated construction of absence-datasets for geospatial studies. The APG

Finns det kvinnliga astronauter? : Om könsneutral och inkluderande översättning av faktaböcker för barn

Are There Any Female Astronauts? On Gender-Inclusive Translation of Non-Fiction Books for ChildrenThis article deals with gender-inclusive translation of information books for children. Translation solutions drawn from three non-fiction books translated from French to Swedish by different translators are discussed in terms of gender neutrality and inclusion. Analysis reveals that, although the SweAre There Any Female Astronauts? On Gender-Inclusive Translation of Non-Fiction Books for ChildrenThis article deals with gender-inclusive translation of information books for children. Translation solutions drawn from three non-fiction books translated from French to Swedish by different translators are discussed in terms of gender neutrality and inclusion. Analysis reveals that, although the Swe

Impacts of litter decay on organic leachate composition and reactivity

Litter decomposition produces labile and recalcitrant forms of dissolved organic matter (DOM) that significantly affect soil carbon (C) sequestration. Chemical analysis of this DOM can provide important knowledge for understanding soil DOM dynamics, but detailed molecular analyses on litter derived DOM are scarce. Here we use ultrahigh resolution mass spectrometry (FT-ICR MS) to characterize the m

Genomic and transcriptomic characterization of desmoplastic small round cell tumors

Desmoplastic small round cell tumor (DSRCT) is a highly aggressive soft tissue tumor primarily affecting children and young adults. Most cases display a pathognomonic EWSR1-WT1 gene fusion, presumably constituting the primary driver event. Little is, however, known about secondary genetic changes that may affect tumor progression. We here studied 25 samples from 19 DSRCT patients using single nucl

Local Contrasts in Concentration of Ambient Particulate Air Pollution (PM2.5) and Incidence of Alzheimer's Disease and Dementia : Results from the Betula Cohort in Northern Sweden

Exposure to fine particulate air pollution (PM2.5) is emerging as a risk factor for Alzheimer's disease (AD), but existing studies are still limited and heterogeneous. We have previously studied the association between dementia (AD and vascular dementia) and PM2.5 stemming from vehicle exhaust and wood-smoke in the Betula cohort in Northern Sweden. The aim of this commentary is to estimate the ass

Clarifying and expanding the theory typology : A reply to readers’ comments

We all want to develop impactful and valuable theories, but what do we mean by ‘theory’? In this piece, we reply to the four readers’ comments on a recent paper in which we propose a theory typology that, in comparison to existing literature, offers a considerably broader, more pluralistic and, at the same time, more precise definition of the meaning(s) of ‘theory’ within academia. In their commen

Cyclohexyl-α maltoside as a highly efficient tool for membrane protein studies

Membrane proteins (MPs) constitute a large fraction of the proteome, but exhibit physicochemical characteristics that impose challenges for successful sample production crucial for subsequent biophysical studies. In particular, MPs have to be extracted from the membranes in a stable form. Reconstitution into detergent micelles represents the most common procedure in recovering MPs for subsequent a

On the London–Lund Corpus 2 : Design, challenges and innovations

This article describes and critically examines the challenging task of compiling The London–Lund Corpus 2 (LLC–2) from start to end, accounting for the methodological decisions made in each stage and highlighting the innovations. LLC–2 is a half-a-million-word corpus of contemporary spoken British English with recordings from 2014 to 2019. Its size and design are the same as those of the world's f

Special issue on spoken language in time and across time : Introduction

The idea of this special issue on Spoken language in time and across time emerged at an international symposium on this topic that we organised at Lund University on 20 September 2019. The purpose of the symposium was to celebrate important past and present achievements of spoken language research as well as past and present corpora available for such research. Some speakers reported on academic a

Challenges of releasing audio material for spoken data : The case of the London–Lund Corpus 2

This article aims to describe key challenges of preparing and releasing audio material for spoken data and to propose solutions to these challenges. We draw on our experience of compiling the new London-Lund Corpus 2 (LLC-2), where transcripts are released together with the audio files. However, making the audio material publicly available required careful consideration of how to, most effectively

A rare case of IgE kappa monoclonal gammopathy of undetermined significance identified in a Swedish female

Monoclonal gammopathies involving immunoglobulin E (IgE) is a very rare phenomenon, with less than 70 cases being previously described in the literature. The IgE monoclonal gammopathies include malignant plasma cell disorders such as IgE multiple myeloma (MM), as well as the associated premalignant condition IgE monoclonal gammopathy of undetermined significance (MGUS). We report a case of a 41-ye

Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging

The adaptive matched filter (AMF) is a method widely used in spectral unmixing to classify different tissue chromophores in photoacoustic images. However, a threshold needs to be applied to the AMF detection image to distinguish the desired tissue chromophores from the background. In this study, we propose an automatic threshold selection (ATS) algorithm capable of differentiating a target from th