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In this paper, we propose a new framework for solving state estimation problems with an additional sparsity-promoting $L-1$-regularizer term. We first formulate such problems as minimization of the sum of linear or nonlinear quadratic error terms and an extra regularizer, and then present novel algorithms which solve the linear and nonlinear cases. The methods are based on a combination of the ite
This paper is concerned with the estimation of unknown drift functions of stochastic differential equations (SDEs) from observations of their sample paths. We propose to formulate this as a non-parametric Gaussian process regression problem and use an Ito-Taylor expansion for approximating the SDE. To address the computational complexity problem of Gaussian process regression, we cast the model in
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
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
This paper is concerned with tracking of reference vectors in the continuous-discrete-time setting. For this end, an Itô stochastic differential equation, using the gyroscope as input, is formulated that explicitly accounts for the geometry of the problem. The filtering problem is solved by restricting the prediction and filtering distributions to the von Mises-Fisher class, resulting in ordinary
A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination with low-complexity peeling decoding was introduced and analyzed by Karimi et al.. In this work, we propose a variant of this scheme based on low-density parity-check codes where the BCH codes at the constraint nodes are replaced by simple single parity-check codes. Furthermore, we apply spatial co
Cryptophycins are naturally occurring cytotoxins with great potential for chemotherapy. Since targeted therapy provides new perspectives for treatment of cancer, new potent analogues of cytotoxic agents containing functional groups for conjugation to homing devices are required. We describe the design, synthesis and biological evaluation of three new unit B cryptophycin analogues. The O-methyl gro
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,
Conservation and consistency are fundamental properties of discretizations of systems of hyperbolic conservation laws. Re- cently, these concepts have been extended to the realm of iterative methods by defining locally conservative and flux consistent iterations. In this note, the current status of such iterative methods is summarized. In particular, it has been shown that Krylov subspace methods
Triple Layer Business Model Canvas (TLBMC) is a tool helping us to explore sustainability-oriented business model innovation. It extends the business dimension of the canvas with the addition of an environmental dimension based on life cycle perspective and a social dimension based on stakeholder perspective. A combined consideration of the three dimensions of the business model allows us to under
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
Building on Zoltán Dörnyei's authoritative work in the field of learner motivation, this book introduces a new conceptualization-Directed Motivational Currents (DMCs)-and sets out the defining aspects of what they are, what they are not, and how they are related to language learning motivation. Going beyond focused behavior in a single activity, DMCs concern intensive long-term motivation. The dis
Den mängd havskräfta som säljs på den svenska marknaden är idag långt mindre än den tillgängliga kvoten. Skulle fiskarna få möjlighet att sälja mer havskräftor ökar intäkterna, men det kan också leda till att priserna blir lägre. I den här studien analyserar vi hur priserna påverkas om mer trålfiskad havskräfta säljs på marknaden. Resultaten visar att:Om mängden trålfiskad havskräfta ökar med 5 pr
Hierarchical biomaterials have their place in the context of developing novel material systems particularly in the framework of sustainability. The key to their development is in controlling their assembly into hierarchical orders at various lengthscales. Thus, flow can be an asset in e.g. controlling orientation, however, resolving the hierarchical orientation dynamics of such systems remains a c
With rapid increase in energy consumption of electronics used in our daily life, the building blocks — transistors — need to work in a way that has high energy efficiency and functional density to meet the demand of further scaling. III-V channel combined with vertical nanowire gate-all-around (GAA) device architecture is a promising alternative to conventional Si transistors due to its excellent
