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Risk factors for seroma formation after axillary lymph node dissection with special focus on the impact of early shoulder exercise

Background: Shoulder and arm dysfunction such as reduced range of motion (ROM) and seroma formation, are common complications following axillary lymph node dissection (ALND). There are conflicting results on the effect of early postoperative exercise on the risk of seroma. This study aims to present incidence of symptomatic seroma formation in a large, population-based cohort, and assesses whether

Endurance-trained subjects and sedentary controls increase ventricular contractility and efficiency during exercise : Feasibility of hemodynamics assessed by non-invasive pressure-volume loops

Introduction Pressure-volume (PV) loops can be used to assess both load-dependent and load-independent measures of cardiac hemodynamics. However, analysis of PV loops during exercise is challenging as it requires invasive measures. Using a novel method, it has been shown that left ventricular (LV) PV loops at rest can be obtained non-invasively from cardiac magnetic resonance imaging (CMR) and bra

Cost-effectiveness of occupational therapy return-to-work interventions for people with mental health disorders : A systematic review

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

How Can Practitioners Assess the Value of Social Work Interventions?

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

Gender, Political Resources, and Expressions of Democratic Evaluations

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

Discontinuous and continuous stochastic choice and coordination in the lab

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

Standardizing Cranioplasty Outcomes Following Stroke or Traumatic Brain Injury : Protocol for the Development of a Core Outcome Set

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

Deep-Learning Based High-Precision Localization with Massive MIMO

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

Inclusive-photon production and its dependence on photon isolation in pp collisions at √s = 13 TeV using 139 fb −1 of ATLAS data

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

A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding

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

Bone mineral density loci specific to the skull portray potential pleiotropic effects on craniosynostosis

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

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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

Halide Perovskite Artificial Solids as a New Platform to Simulate Collective Phenomena in Doped Mott Insulators

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

Phylogeny, ecology and morphology of the two corticolous lichen species Rinodina colobina and R. pityrea in the Nordic countries

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

Search for boosted diphoton resonances in the 10 to 70 GeV mass range using 138 fb −1 of 13 TeV pp collisions with the ATLAS detector

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,

Why do tourists use public transport in Korea? The roles of artificial intelligence knowledge, environmental, social, and governance, and sustainability

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

Optimization of Powertrain Platform for Electric Passenger Vehicles

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

Neighbourhood deprivation and type 2 diabetes in patients with bipolar disorder : A nationwide follow-up study

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