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Structural variants (SVs) rearrange large segments of DNA1 and can have profound consequences in evolution and human disease2,3. As national biobanks, disease-association studies, and clinical genetic testing have grown increasingly reliant on genome sequencing, population references such as the Genome Aggregation Database (gnomAD)4 have become integral in the interpretation of single-nucleotide v

Evacuation models can adopt different approaches for the simulation of human behaviour in fire. This paper provides an overview of the most commonly used modelling methods to represent the evacuation process in a fire scenario. This is presented through a structure matching the engineering time-line model of evacuation. The evacuation model development process is discussed considering both data-dr

Social learning, especially triple-loop social learning involving institutional and governance changes, has great potential to address urban water issues such as flooding, drought, and pollution. It facilitates urban transition and the adoption of more systemic approaches and innovations. Social learning in water governance is a growing field, but the triple-loop learning concept remains vague and

We propose a variational autoencoder to perform improved pre-processing forclustering and anomaly detection on data with a given label. Anomalies howeverare not known or labeled. We call our method conditioned variationalautonencoder since it separates the latent space by conditioning on informationwithin the data. The method fits one prior distribution to each class in thedataset, effectively exp

In this paper we study the Fokker-Planck operator with potential V (x), and analyze some kind of conditions imposed on the potential to ensure the validity of global hypoelliptic estimates (see Theorem 1.1). As a consequence, we obtain the compactness of resolvent of the Fokker-Planck operator if either the Witten Laplacian on 0-forms has a compact resolvent or some additional assumption on the be

Tensor-valued diffusion encoding facilitates data analysis by q-space trajectory imaging. By modeling the diffusion signal of heterogeneous tissues with a diffusion tensor distribution (DTD) and modulating the encoding tensor shape, this novel approach allows disentangling variations in diffusivity from microscopic anisotropy, orientation dispersion, and mixtures of multiple isotropic diffusivitie

Many allergens are widely used in both consumer and occupational products. In many cases, it is difficult to know all the ingredients of a product since most products are not sufficiently labelled. To diagnose and prevent allergic contact dermatitis, the demonstration of allergens in the products from the patient’s environment is important. Chemical analysis of a product can make it possible to de

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning

In this work, we describe a new Monte Carlo (MC) simulation method to investigate highly coupled fluids in confined geometries at a constant chemical potential. This method is based on so-called multi-scale Hamiltonian methods, wherein the chemical potential is determined using a more amenable Hamiltonian for a fluid in an "outer"region, which facilitates standard methods, such as grand canonical

Previous research has argued that related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between cognitively similar industries. In this study, we engage with empirical operationalization of what is ‘related’ in related variety. We argue, based on theoretical grounds, that estimating regional knowledge production functions requires related variety mea

This work investigates dovetail joints as a means to mount pre-wound coils in an electrically excited rotor for a synchronous machine for EV application. The aim is to manufacture a prototype of a direct cooled machine with hollow rectangular rotor windings which requires a rotor design where the windings can be applied on the poles separately. Two experimental tensile tests are made to validate t

Galectins are a family of soluble proteins that bind β-D-galactopyranoside-containing glycoconjugates through their conserved carbohydrate-recognition domains. Galectins have emerged as promising drug targets due to their involvement in various pathological conditions, such as tumor growth and metastasis, autoimmune and inflammatory diseases, as well as metabolic disorders.This first part of the t

This thesis concerns the investigation of direct and inverse resonance results for the Love and the Rayleigh operators, which arise from decoupling the three-dimensional elastic wave equation in the semiclassical limit in the half-space. Direct resonance results in terms of the asymptotic distribution of resonances in the complex plane are obtained for the Love and the Rayleigh operators. An inver

The Neumann--Neumann method is a commonly employed domain decomposition method for linear elliptic equations. However, the method exhibits slow convergence when applied to semilinear equations and does not seem to converge at all for certain quasilinear equations. We therefore propose two modified Neumann--Neumann methods that have better convergence properties and require less computations. We pr

Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. To assess the benefits and harms of decongestants and antihistamines in the treatment of AOM in children. Specifically, we want to assess the impact of decongestants and antihistamines on the presence of otalgia, the persistence of AOM, the need for or change in antibiotic therapy, severe complicat