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Many problems in science and engineering involve estimating a dynamic signal from indirect measurements subject to noise, where points can either evolve in continuous time or in discrete time. These problems are often formalised as inference in probabilistic state-space models, which are also frequently assumed to be Markovian. For inferring the value of the signal at a particular point in time, m

The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice-water balance for permafrost and glaciers, extending a well-established suite of permafrost models (CryoGrid 1, 2, and 3). The CryoGrid community model can accommodate a wide variety of application scenarios, which is achieved by fully modular structures through object-oriented programming. Diff

Blood-based biomarkers hold great promise to revolutionize the diagnostic and prognostic work-up of Alzheimer’s disease (AD) in clinical practice. This is very timely, considering the recent development of anti-amyloid-β (Aβ) immunotherapies. Several assays for measuring phosphorylated tau (p-tau) in plasma exhibit high diagnostic accuracy in distinguishing AD from all other neurodegenerative dise

The goal of person text-image matching is to retrieve images of specific pedestrians using natural language. Although a lot of research results have been achieved in persona text-image matching, existing methods still face two challenges. First,due to the ambiguous semantic information in the features, aligning the textual features with their corresponding image features is always tricky. Second,

The hippocampus is one of the most studied neuroanatomical structures due to its involvement in attention, learning, and memory as well as its atrophy in ageing, neurological, and psychiatric diseases. Hippocampal shape changes, however, are complex and cannot be fully characterized by a single summary metric such as hippocampal volume as determined from MR images. In this work, we propose an auto

We discuss how multinational enterprises (MNEs) can play a leading role and take more responsibility towards reducing inequalities by developing a global sustainability regime. We especially focus on how this may contribute towards the United Nations’ Sustainable Development Goals (UN SDGs). Our purpose is to identify and discuss the components and activities that are needed to develop such a stra

Attosecond photoelectron spectroscopy has opened up for studying light–matter interaction on ultrafast time scales. It is often performed with interferometric experimental setups that require outstanding stability. We demonstrate and characterize in detail an actively stabilized, versatile, high spectral resolution attosecond beamline based on a Mach-Zehnder interferometer. The active stabilizatio

In 2010, the first, and so far only, infestation of the Hungarian spruce scale (Physokermes inopinatus) and accompanying sooty mould occurred in Scania, southernmost Sweden. About 1000 ha of Norway spruce (Picea abies) were affected, and the trees suffered from the sucking of the insects as well as from the dense sooty mould that covered the needles. Salvage cuttings were carried out in many of th

Spectator violence is an issue that affects many football matches in Sweden and other countries. Different models have tried to explain why individuals participate in sports fandom and associated behaviors. However, often these models ignore social and individual factors that may impact if and why individuals participate in spectator violence. Outgroup violence can be motivated by pro-social conce

We present an efficient algorithm for recent generalizations of optimal mass transport theory to matrix-valued and vector-valued densities. These generalizations lead to several applications including diffusion tensor imaging, color image processing, and multi-modality imaging. The algorithm is based on sequential quadratic programming. By approximating the Hessian of the cost and solving each ite

To remain competitive in the field of manufacturing today, companies must make their industrial robots smarter and allow them to collaborate with one another in a more effective manner. This is typically done by adding some form of learning, or artificial intelligence (AI), to the robots. These learning algorithms are often packaged as cloud functions in a remote computational center since the a

We introduce an adaptive algorithm for sampling multivariate diffusion bridges that performs well for both diffusion and drift dominated models.The algorithm combines the residual bridge sampler with adaptive MCMC, allowing the algorithm to make online improvements upon the ordinary residual bridge algorithm.The simulation study show that the proposed bridge sampler is performing at least as good

The transition within business from a linear to a circular economy brings with it a range of practical challenges for companies. The following question is addressed: What are the product design and business model strategies for companies that want to move to a circular economy model? This paper develops a framework of strategies to guide designers and business strategists in the move from a linear

Modern wind turbines are designed to withstand approximately for a lifetime of 20 years [1]. However, a very long design life of 100 years or more can be expected for high-quality concrete foundations. Thus there is a big difference in lifetime between wind turbines and foundations. There is a significant economic benefit of replacing the out-of-date wind turbine with a new turbine of better power

All over the world there is a shortage of adequate, affordable housing that enables social integration and sustainability. Many individuals and households have access to housing but live in different kinds of involuntary isolation with respect to age, gender, income, culture and ethnic background. There is a lack of housing forms that can contribute to solving these societal challenges through dif

An analytical method is developed for ultrasensitive detection of citrinin using double isothermal amplification and CRISPR-Cas12a. Gold nanoparticles (AuNPs) modified with antigen and thiol-terminated, single-strand DNA (ssDNA) are used as a probe. The antigen-modified AuNPs compete with citrinin to bind to magnetic beads coated with an anticitrinin antibody. After a simple magnetic separation, t