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“It was unthinkable for me before PrEP”: Preliminary results from a qualitative study of experiences of PrEP use among men who have sex with men.
Robot, trade and employment : Unravelling the relationship within the European context
The paper deals with the effects that robot adoption in a country may generate in other trade-related countries. We concentrate on the Top 5 European economies as robot adopters over the period from 1995 to 2018 (Italy, Germany, France, Spain, UK) by testing whether robot adoption affects employment dynamics also beyond borders. To reach this goal we develop a composite indicator that captures bot
Loneliness among homo- and bisexual men, setting up a community-based participatory research project
Defined culture conditions robustly maintain human stem cell pluripotency, highlighting a role for Ca2+ signaling
Induced pluripotent stem cells (iPSCs) have significant potential for disease modeling and cell therapies. However, their wide-spread application has faced challenges, including batch-to-batch variabilities, and notable distinctions when compared to embryonic stem cells (ESCs). Some of these disparities can stem from using undefined culture conditions and the reprogramming procedure, however, the
The expanded genome of Hexamita inflata, a free-living diplomonad
Diplomonads are anaerobic, flagellated protists, being part of the Metamonada group of Eukaryotes. Diplomonads either live as endobionts (parasites and commensals) of animals or free-living in low-oxygen environments. Genomic information is available for parasitic diplomonads like Giardia intestinalis and Spironucleus salmonicida, while little is known about the genomic arrangements of free-living
Determining the influence of meteorological, environmental, and anthropogenic activity variables on the atmospheric CO2 concentration in the arid and semi-arid regions : A case study in the Middle East
Climate change and the resulting warming caused by human activities, such as releasing greenhouse gases (GHG), notably carbon dioxide (CO2), are paramount concerns in the contemporary era. Therefore, it is essential to understand spatial and temporal variations of atmospheric carbon dioxide concentration (XCO2) on national and international scales and the role of controlling variables. This resear
Lost in definition : unravelling microplastics from marine coatings through bibliometrics science mapping in thematic analysis and systematic narrative literature review
Marine coatings used on merchant ships have recently emerged as a source of microplastics in marine environments. Marine coatings encompass all paints and coatings applied to various parts of a ship, primarily for anti-corrosion, antifouling anti-skid, heat-resistance, and cosmetic enhancement. However, marine coatings on merchant ships have evaded classification and were not included in the micro
Women experiencing the second stage of labour for the first time : A qualitative free-text analysis within the Oneplus trial
Title: Women experiencing the second stage of labour for the first time: a qualitative free-text analysis within the Oneplus trial. Background: The second stage of labour is the time from full cervical dilation to the birth of the baby. The risks to the woman and the baby are increased during this stage, leading to intensified midwifery care. A positive birth experience is a significant goal of in
Teachers’ use of sign-supported speech in interaction with multilingual children in Swedish preschools
Many preschoolers in Sweden have other family languages than Swedish. Sign-supported speech (SSS) is often used to support children's second language development and participation in interaction. The aim of the present paper is to study how preschool teachers use SSS in interaction with multilingual children, and children's way of participation in such interaction. The study was conducted in three
Generalizable deep learning framework for 3D medical image segmentation using limited training data
Medical image segmentation is a critical component in a wide range of clinical applications, enabling the identification and delineation of anatomical structures. This study focuses on segmentation of anatomical structures for 3D printing, virtual surgery planning, and advanced visualization such as virtual or augmented reality. Manual segmentation methods are labor-intensive and can be subjective
A different destiny after the ice age : Impacts of climate change on the global biogeography of Carasobarbus
Climate change poses a significant global challenge, profoundly affecting species distribution. In recent years, research focusing on the impacts of climate change on freshwater taxa has been relatively limited compared to studies on terrestrial taxa. This study seeks to identify hotspots and occurrences of all Carasobarbus freshwater fish species while also predicting the potential implications o
JavaDL : automatically incrementalizing Java bug pattern detection (Artifact)
JavaDL ArtifactJavaDL is a language and toolchain for analyzing Java at the source level. JavaDL is based on MetaDL, a variant of Datalog that adds syntactic pattern matching, here specialized to pattern matching on Java.
Prospects of analog in-memory computing using ferroelectric tunnel junctions
Artificial intelligence (AI) is set to disrupt the way businesses and civil society operate, but the large energy usage for training and running AI compute models remains a pressing concern in terms of its sustainability. Analog in-memory computing (AIMC) hardware based on memristor devices is a promising route to significant energy-savings. Among the various memristor technologies, ferroelectric
Toward a better understanding of curve number and initial abstraction ratio values from a large sample of watersheds perspective
The Natural Resources Conservation Service Curve Number method (NRCS-CN) is the most widely used approach to estimate runoff from rainfall events. However, some uncertainties in the method remain linked to the value of the standard initial abstraction ratio (λ) and discrepancies between computed and standard tabulated Curve Number (CN) values. Here, we compute CN values and investigate the effects
Clog: A Declarative Language for C Static Code Checkers (Artifact)
Clog is a declarative language for describing static code checkers for C. Clog is a dialect of Datalog and adds syntactic pattern matching over the C language. We have built Clog using the MetaDL framework and the Clang C compiler frontend. The MetaDL framework supports Datalog evaluation and syntactic patterns, while the Clang frontend provides AST facts and an AST matching mechanism.We provide t
Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased
Background: Observational data on composite scores often comes with missing component information. When a complete-case (CC) analysis of composite scores is unbiased, preferable approaches of dealing with missing component information should also be unbiased and provide a more precise estimate. We assessed the performance of several methods compared to CC analysis in estimating the means of common
Filling the descriptive representation gap? Youth platforms in global environmental governance
Youth are official stakeholders of global environmental politics (GEP) since 1992, and several youth platforms have been created within the framework of the United Nations since the 2000s. However, recently, the oppositional voice of youth, through climate protests, has increased worldwide. While official youth platforms have been active over the years, this article asks to which extent they mitig
Maximal steady-state entanglement in autonomous quantum thermal machines
We devise an autonomous quantum thermal machine consisting of three pairwise-interacting qubits, two of which are locally coupled to thermal reservoirs. The machine operates autonomously, as it requires no time-coherent control, external driving or quantum bath engineering, and is instead propelled by a chemical potential bias. Under ideal conditions, we show that this out-of-equilibrium system ca
Revisiting substance P in migraine : a methodological approach inspired by anti-CGRP and anti-PACAP success
Substance P, previously dismissed as a therapeutic target for migraine due to the failure of neurokinin-1 receptor antagonists, warrants renewed attention. Building on the success of therapies targeting the calcitonin gene-related peptide (CGRP) system and pituitary adenylate cyclase-activating peptide (PACAP) in migraine prevention, which highlight the importance of targeting peptides, this propo
