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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...
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...
Hybrid composites of aligned discontinuous carbon fibers and self-reinforced polypropylene under tensile loading
Highly aligned discontinuous fiber composites have demonstrated mechanical properties comparable to those of unidirectional continuous fiber composites. However, their ductility is still limited by the intrinsic brittleness of...
Simplified and complete phase-field fracture formulations for heterogeneous materials and their solution using a Fast Fourier Transform based numerical method

This paper focuses on the numerical implementation of phase-field models of fracture using the Fast Fourier Transform based numerical method. Recent developments in that field rely on the separate solution of a coupled...

Hybrid composites of aligned discontinuous carbon fibers and self-reinforced polypropylene under tensile loading
Highly aligned discontinuous fiber composites have demonstrated mechanical properties comparable to those of unidirectional continuous fiber composites. However, their ductility is still limited by the intrinsic brittleness of...
Simplified and complete phase-field fracture formulations for heterogeneous materials and their solution using a Fast Fourier Transform based numerical method

This paper focuses on the numerical implementation of phase-field models of fracture using the Fast Fourier Transform based numerical method. Recent developments in that field rely on the separate solution of a coupled...

A Systematic Review of Gamification and Its Assessment in EFL Teaching
The aim of this study is to examine the satisfaction of EFL teachers with gamification platforms as well as to investigate how EFL teachers perceive gamification and its effects on pupils' motivation and learning outcomes. Five...
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...
“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...
Entrance laws for annihilating Brownian motions and the continuous-space voter model
Consider a system of particles moving independently as Brownian motions until two of them meet, when the colliding pair annihilates instantly. The construction of such a system of annihilating Brownian motions (aBMs) is...
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...
A new look at duality for the symbiotic branching model

The symbiotic branching model is a spatial population model describing the dynamics of two interacting types that can only branch if both types are present. A classical result for the underlying stochastic partial...

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...
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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