Stadsbusstrafiken genomgår just nu en förändring där elbussar introduceras i snabb takt. Medan elbussar för några år sedan mestadels förekom i olika test- och pilotprojekt rullar det våren 2022 över 600 elbussar i ordinarie linjelagd kollektivtrafik i ca 25 olika svenska städer. Omställningen till elbussar karaktäriseras bland annat av att man gjort olika val avseende tillverkare och olika val avs

As part of current efforts to work towards sustainable development, find solutions to curb greenhouse gas emissions, and adapt cities to the effects of climate change, such as floods and extreme heat, there are high hopes that nature-based solutions (NBS) can support the transformation needed. Based on the knowledge that implementation and governance of urban NBS is still emerging and constrained

This paper analyses the inherent competence conflict between the economic and the monetary policies under EU law. The particular policy areas have come under scrutiny with regards to the financial rescue packages issued in the course of the financial crisis (PSPP) as well as the Covid-19 pandemic (PEPP). Both crises have exposed some of the Union’s core morbidities: a lack of competence at EU leve

Light microscopy has been a favorite tool of biological studies for almost a century, recently producing detailed images with exquisite molecular specificity achieving spatial resolution at nanoscale. However, light microscopy is insufficient to provide chemical information as a standalone technique. An increasing amount of evidence demonstrates that optical photothermal infrared microspectroscopy

Objective: Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening form of systemic vasculitis. Prompt and correct diagnosis is therefore important. Temporal artery biopsy (TAB) is the gold standard for diagnosing GCA, but is associated with risks. There is no reliable non-invasive technique for the diagnosis of GCA. Ultrasound centre frequency shift (CFS) is a novel

Objective The aim of the present study was to investigate if the relation between sex and clinical outcomes in early rheumatoid arthritis varies by autoantibody status.Methods Two inception cohorts of consecutive patients with early RA (symptom duration ≤12 months) in the Southern Region of Sweden were investigated. Patients were stratified by anti-citrullinated peptide antibody (ACPA) status. The

The integrity of a cell’s proteome depends on correct folding of polypeptides by chaperonins. The chaperonin TCP-1 ring complex (TRiC) acts as obligate folder for >10% of cytosolic proteins, including he cytoskeletal proteins actin and tubulin. Although its architecture and how it recognizes folding substrates are emerging from structural studies, the subsequent fate of substrates inside the TRiC

Cement är ett viktigt byggmaterial inom anläggnings- och geoteknik. Men dess tillämpningar för stabilisering av marina sediment behöver ytterligare undersökas. Denna artikel undersöker effekterna av olika mängder portlandcement tillsatt till sedimentprover vid urlakning av tributyltenn (TBT) från det förorenade marina sedimenterar och utvärderar pH-nivån. Identifiera de bästa kombinationerna av Po

In response to the so-called migration crisis, the European Commission has promoted the creation of a European Emergency Trust Fund for Africa (EUTF) to address the root causes of migration through cooperation with third countries. Through such a tool, development is mainly used to ensure the control of migration routes, exacerbating pre-existing conflictual dynamics and contributing to serious hu

Heatwaves are increasingly common globally and are known to have detrimental impacts on animal morphology and behaviour. These impacts can be severe, especially if heatwaves occur during development, even on animals that can regulate the temperature of their developing young. The onset and duration of heatwaves are stochastic and therefore may affect all or only part of development. In the heterot

The paper discusses modeling and analysis of real-time systems subject to random time delays in the communication network. A new method for analysis of existing schemes is presented. The method is used to evaluate different suggested schemes from the literature. A new scheme for handling the random time delays is then developed and successfully compared with previous schems. The new scheme is

This paper gives examples of industrial adaptive controllers and of true industrial applications of adaptive control. Adaptive control algorithms are found in single-loop controllers as well as in distributed control systems. The applications are from a wide range of industries, from process control to engine control in cars.

In this paper we study the problem of minimum variance prediction for linear time-varying systems. We consider the standard time-varying autoregression moving average (ARMA) model and develop a predictor which guarantees minimum variance prediction for a large class of linear time-varying systems. The predictor is developed based on a pseudocommutation technique for dealing with noncommutativity o

The selections of design method and design specifications for sampled-data adaptive controllers are discussed. The following issues are considered: choice of design method, choice and effect of sampling frequency and antialiasing filters, interplay between estimation and design, and implementation aspects and numerics.

Basal metabolic rate (BMR) constitutes the lowest metabolic rate in a resting animal and is, therefore, considered to reflect the energetic cost of maintenance in endotherms. BMR is a reversible plastic trait that changes with environmental and ecological circumstances, albeit being heritable and susceptible to selection. Inter-individual variation within populations of small birds is substantial,

We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-