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Food based dietary patterns and chronic disease prevention.
Matthias B Schulze and colleagues discuss current knowledge on the associations between dietary patterns and cancer, coronary heart disease, stroke, and type 2 diabetes, focusing on areas of uncertainty and future research...
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Digital Employee Training With Digital Adoption Platforms Boost Learning and Knowledge Management of Corporate IT Systems
Due to increasing digitalization, employees need to use an increasing number of corporate IT systems. Digital Adoption Platforms (DAPs) recently address the resulting need for increased learning and skills to master such...
The mammalian mitochondrial epitranscriptome.
Correct expression of the mitochondrially-encoded genes is critical for the production of the components of the oxidative phosphorylation machinery. Post-transcriptional modifications of mitochondrial transcripts have been...
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“Under Pressure!”
The use of digital technologies or applications can have positive and negative effects on workers: Digital technologies might support workers' decision-making by providing necessary information, but digital technologies might...
The value of blood derived DNA methylation signatures in advancing our understanding of Crohn's Disease pathogenesis.
Matthias Zilbauer
Nov 05, 2019
DNA methylation is one of the main epigenetic mechanisms, known to be operative in mammals. Extensive evidence has highlighted its pivotal role in several fundamental biological processes including organogenesis, X-chromosome...
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Analyzing inexact hypergradients for bilevel learning
Estimating hyperparameters has been a long-standing problem in machine learning. We consider the case where the task at hand is modeled as the solution to an optimization problem. Here the exact gradient with respect to the...
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Optimal Encoding in Stochastic Latent-Variable Models.
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the...
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Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization
Many machine learning solutions are framed as optimization problems which rely on good hyperparameters. Algorithms for tuning these hyperparameters usually assume access to exact solutions to the underlying learning problem...
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Vortex dynamics in the presence of excess energy for the Landau-Lifshitz-Gilbert equation
We study the Landau-Lifshitz-Gilbert equation for the dynamics of a magnetic vortex system. We present a PDE-based method for proving vortex dynamics that does not rely on strong well-preparedness of the initial data and allows...
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Improving prediction of disease outcome for inflammatory bowel disease
Introduction: Inflammatory bowel diseases (IBDs) are lifelong conditions causing relapsing inflammation of the intestine. In the absence of a cure, clinical management of IBDs is extremely challenging since they present with a...
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Second-order asymptotic expansion and thermodynamic interpretation of a fast-slow Hamiltonian system

This article includes a short survey of selected averaging and dimension reduction techniques for deterministic fast–slow systems. This survey includes, among others, classical techniques, such as the WKB approximation or the...

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Synergistic multi-spectral CT reconstruction with directional total variation

This work considers synergistic multi-spectral CT reconstruction where information from all available energy channels is combined to improve the reconstruction of each individual channel. We propose to fuse these available...

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