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Food based dietary patterns and chronic disease prevention.
Matthias B Schulze, Miguel A Martínez-González, Teresa T Fung, Alice H Lichtenstein, Nita G Forouhi
Sep 20, 2018
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...
Published by: IGI Global Scientific Publishing
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!”
Matthias Klumpp, Caroline Ruiner, Vera Hagemann, Jonathan Meinecke, Christina Debbing, Marc Hesenius
Jan 01, 2024
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...
Published by: IGI Global Scientific Publishing
Safety, tolerability and pharmacokinetics of the oligomer modulator anle138b with exposure levels sufficient for therapeutic efficacy in a murine Parkinson model
Johannes Levin, Nand Sing, Sue Melbourne, Amber Morgan, Carla Mariner, Maria Grazia Spillantini, Michal Wegrzynowicz, Jeffrey W Dalley, Simon Langer, Sergey Ryazanov, Andrei Leonov, Christian Griesinger, Felix Schmidt, Daniel Weckbecker, Kai Prager, Torsten Matthias, Armin Giese
Jun 07, 2022
BACKGROUND: Synucleinopathies such as Parkinson ́s disease (PD), Dementia with Lewy bodies (DLB) and Multiple System Atrophy (MSA) are characterized by deposition of misfolded and aggregated α-synuclein. Small aggregates...
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...
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...
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...
Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection
biomarker discovery Breast Cancer multigene signature personalized medicine prostate cancer survival modeling Aged Aged 80 and over Biomarkers Tumor Breast Neoplasms Computer Simulation Female Genetic Markers Humans Male Middle Aged Proportional Hazards Models Prostatic Neoplasms Regression Analysis Survival Analysis Watchful Waiting
Efficient learning methods for large-scale optimal inversion design
In this work, we investigate various approaches that use learning from training data to solve inverse problems, following a bi-level learning approach. We consider a general framework for optimal inversion design, where...
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...
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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