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Energy poverty in Sweden: Using flexibility capital to describe household vulnerability to rising energy prices

Energy poverty has been kept at bay in Sweden for the past decades owing to several beneficial circumstances. However, geopolitical pressure and an accelerating energy transition are changing the circumstances and exposing vulnerabilities to energy poverty in Sweden particularly connected to electricity price peaks. The circumstantial nature of the exposed risks for energy poverty motivates a concEnergy poverty has been kept at bay in Sweden for the past decades owing to several beneficial circumstances. However, geopolitical pressure and an accelerating energy transition are changing the circumstances and exposing vulnerabilities to energy poverty in Sweden particularly connected to electricity price peaks. The circumstantial nature of the exposed risks for energy poverty motivates a conc

Eye movement disorders in inborn errors of metabolism : A quantitative analysis of 37 patients

Inborn errors of metabolism are genetic disorders that need to be recognized as early as possible because treatment may be available. In late-onset forms, core symptoms are movement disorders, psychiatric symptoms, and cognitive impairment. Eye movement disorders are considered to be frequent too, although specific knowledge is lacking. We describe and analyze eye movements in patients with an inb

Amplified wintertime Barents Sea warming linked to intensified Barents oscillation

In recent decades, the Barents Sea has warmed more than twice as fast as the rest of the Arctic in winter, but the exact causes behind this amplified warming remain unclear. In this study, we quantify the wintertime Barents Sea warming (BSW, for near-surface air temperature) with an average linear trend of 1.74 °C decade-1 and an interdecadal change around 2003 based on a surface energy budget ana

Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

Purpose: The aim of this study was to develop and validate an artificial intelligence (AI)-based method using convolutional neural networks (CNNs) for the detection of pelvic lymph node metastases in scans obtained using [18F]PSMA-1007 positron emission tomography-computed tomography (PET-CT) from patients with high-risk prostate cancer. The second goal was to make the AI-based method available to

Real-Time Minimum-Time Lane Change Using the Modified Hamiltonian Algorithm

A minimum-time lane change maneuver is executed under friction-limited conditions using (1) the Modified Hamiltonian Algorithm (MHA) suitable for real-time control and (2) numerical optimization for comparison. A key variable is the switching time of the acceleration reference in MHA. Considering that MHA is based on an approximate vehicle model to target real-time control, it cannot exactly match