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Background: Return-to-work (RTW) resources for persons with mental health disorders are limited and costs are typically shared by several stakeholders in society. Occupational therapists (OT) provide RTW interventions for this target group, however, increased knowledge of health, and employment effects, as well as costs are needed to better inform decision makers in their prioritisations. Aims/obj

In social work, practitioners are often faced with situations in which they have to choose an intervention. A fundamental ethical principle of social work practice is to minimize the risk of adverse effects caused by social services. To adhere to this principle, practitioners must be aware of the possible positive and negative effects of potential services. There are hundreds of interventions curr

Are certain citizens more likely to feel entitled to evaluate the quality of democratic institutions in their country? Previous studies show that women are more likely than men to answer “don’t know” when asked to express their views about the state of democracy. This article analyzes how political knowledge and internal efficacy contribute to such a gender gap in item non-response rates in resear

We experimentally test theoretical predictions on equilibrium selection in a two-player coordination (investment) game. Through a minimal visual variation, our design prompts participants to play strategies whereby investing probability is either continuous or discontinuous in the payoff-relevant state. When participants use continuous strategies, average behavior is consistent with play in the ri

Background: Core outcome sets (COSs) are important and necessary as they help standardize reporting in research studies. Cranioplasty following traumatic brain injury (TBI) or stroke is becoming increasingly common, leading to an ever-growing clinical and research interest, especially regarding the optimal material, cost-effectiveness, and timing of cranioplasty concerning neurological recovery an

This letter reports measurements which characterize the underlying event associated with hard scatterings at mid-pseudorapidity (|η|

High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr

Measurements of differential cross sections are presented for inclusive isolated-photon production in pp collisions at a centre-of-mass energy of 13 TeV provided by the LHC and using 139 fb −1 of data recorded by the ATLAS experiment. The cross sections are measured as functions of the photon transverse energy in different regions of photon pseudorapidity. The photons are required to be isolated b

Channel sounding is essential for the development of radio systems. One flexible strategy is the switched-array-based channel sounding, where antenna elements are activated at different time instants to measure the channel spatial characteristics. Although its hardware complexity is decreased due to fewer radio-frequency (RF) chains, sequentially switching the antenna elements can result in aliasi

Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance. Association signals cluster within gene-sets involved in

High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The

The development of quantum simulators, artificial platforms where the predictions of many-body theories of correlated quantum materials can be tested in a controllable and tunable way, is one of the main challenges of condensed matter physics. Here we introduce artificial lattices made of lead halide perovskite nanocubes as a new platform to simulate and investigate the physics of correlated quant

Rinodina pityrea and R. colobina are reported as two distinct species with differing ecology and morphological characters. Molecular analysis of their ITS and mrSSU genes show that R. pityrea and R. colobina are two clearly separated species. Furthermore, the two species are morphologically and geographically distinct in the Nordic countries and can usually be recognized with a hand lens rather th

A search for diphoton resonances in the mass range between 10 and 70 GeV with the ATLAS experiment at the Large Hadron Collider (LHC) is presented. The analysis is based on pp collision data corresponding to an integrated luminosity of 138 fb −1 at a centre-of-mass energy of 13 TeV recorded from 2015 to 2018. Previous searches for diphoton resonances at the LHC have explored masses down to 65 GeV,

We present measurements of the cross section and double-helicity asymmetry ALL of direct-photon production in p→+p→ collisions at s=510 GeV. The measurements have been performed at midrapidity (|η|

The study of public transport and tourism, especially domestic tourism, is relatively under-researched, particularly in relation to emerging transport technologies, such as artificial intelligence (AI), and environmental, social, and governance (ESG). To bridge this gap, an integrated research model is created and tested with ESG, air quality, climate change, and AI, applying multi-analysis method

This paper presents a method to optimize an electric powertrain platform, capable of addressing the needs of a wide range of vehicle types while taking advantage of economies of scale and reducing time to market. The optimization includes all electric powertrain components from the electrical machine and inverter to the transmission. The objective is to minimize both the operational and electrical

Patients with bipolar disorder have higher rates of type 2 diabetes (T2D) compared to the general population. Neighbourhood deprivation is associated with T2D and bipolar disorder. The aim of this study was to explore the potential effect of neighbourhood deprivation on incident T2D in patients with bipolar disorder. This nationwide open cohort study (1997–2018) included adults in Sweden ≥20 years

Biallelic variants in the Golgi SNAP receptor complex member 2 gene ( GOSR2) have been reported in progressive myoclonus epilepsy with neurodegeneration. Typical clinical features include ataxia and areflexia during early childhood, followed by seizures, scoliosis, dysarthria, and myoclonus. Here, we report two novel patients from unrelated families with a GOSR2-related disorder and novel genetic

A measurement of single top-quark production in the s-channel is performed in proton–proton collisions at a centre-of-mass energy of 13 TeV with the ATLAS detector at the CERN Large Hadron Collider. The dataset corresponds to an integrated luminosity of 139 fb −1. The analysis is performed on events with an electron or muon, missing transverse momentum and exactly two b-tagged jets in the final st