Search results

Forskargruppen bedriver forskning kring förutsättningar och rehabilitering för ett hälsosamt liv där rörelse och aktivitet är i fokus. Forskning som bedrivs i gruppen syftar också till att förbättra förståelsen för påverkan på människans strukturer, funktioner, aktiviteter och delaktighet i omgivande Iiv. Forskagruppens arbete omfattar hela kedjan från hälsopromotion till rehabilitering, genom heResearch within the group concerns conditions and rehabilitation for a healthy life, with a focus on movement and activity. Research within the group also aims to improve understanding of effects on human structure, functions, activities, and participation in society. Research within the group includes the line from health promotion to rehabilitation, throughout the lifespan. Other areas are work-

Med vår forskning vill vi förstå och främja människors psykiska hälsa, aktivitet och delaktighet och bidra till att människor kan leva ett så meningsfullt liv som möjligt och delta i samhället trots psykisk ohälsa. Att utveckla, utvärdera och implementera återhämtningsinriktade insatser som ger stöd i olika livssituationer och miljöer är därför centralt. Vi vänder oss till olika målgrupper såsomWith our research, we want to understand and promote persons’ mental health, activity and participation and as a result help them to live as meaningful lives as possible and participate in society despite mental ill health. Developing, evaluating and implementing recovery-oriented interventions that help in different life situations and in different environments is therefore critical. We address

AI och digitalisering är en snabbt växande del av utvecklingen av nästan alla ingenjörssystem och kommer att förändra samhället och industrin i grunden. Profilområdets spetskunskap kring teknologier, metoder, algoritmer och mjukvara för att möjliggöra robusta, säkra, effektiva och lärandebaserade system är helt nödvändig i samhällets digitala omställning.AI and digitalization are a rapidly growing part of the development of almost all engineering systems and will fundamentally change society and industry. The profile area's cutting-edge knowledge of technologies, methods, algorithms, and software to enable robust, secure, efficient, and learning-based systems is essential in society's digital transformation.

We consider a purchase/inventory control problem in which the purchase price and demand are stochastic, a common situation encountered by firms that replenish in a foreign currency or from commodity markets. More specifically, we assume that the demand follows a Poisson arrival process and that the log-price evolves according to a general Wiener process. Under these circumstances, the optimal poli

Because of the good thermal stability and superior carrier transport characteristics of formamidinium lead trihalide perovskite HC(NH2)2PbX3 (FAPbX3), it has been considered to be a better optoelectronic material than conventional CH3NH3PbX3 (MAPbX3). Herein, we fabricated a FAPbBr3 microcrystal-based photodetector that exhibited a good responsivity of 4000 A W−1 and external quantum efficiency up

This paper examines the relationship between oil prices and its pass-through to inflation and inflation differentials in the European Monetary Union from the first quarter of 1999 to the last quarter of 2021. By using local projections to derive impulse response functions of an oil price shock, the pass-through to the inflation level is examined focusing on the role of energy-related transmission

A new pharmaceutical product suitable to act as a negative contrast agent for Computerized Scan (CT-scan) of the abdomen is under development. At the moment the product has the form of a powder, which when dispersed in water and whipped, gives a stable foam. The foam is ingested by individuals who are about to undergo a CT-scan, as a prior preparation step. The powder form has disadvantages such a

In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The

We present an iterative retrieval algorithm based on data constraint for ultrashort pulse characterization using dispersion scan (d-scan). The proposed algorithm is much faster and leads to a drastic reduction of retrieval times, but, compared to the standard algorithm, it performs less robustly in the retrieval of noisy d-scan traces. The algorithm is tested on several simulated cases and in two

More reliable and faster prediction methods are needed to interpret enormous amounts of data generated by sequencing and genome projects. We have developed a new computational tool, PON-P2, for classification of amino acid substitutions in human proteins. The method is a machine learning-based classifier and groups the variants into pathogenic, neutral and unknown classes, on the basis of random f