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ROS-Health: An Open-Source Framework for Neurorobotics

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Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Gelareh Mohammadi

Emotions are rich and complex experiences involving various behavioral and physiological responses. While many empirical studies have focused on discrete and dimensional representations of emotions, these representations do not fully reconcile with recent ...

FRONTIERS MEDIA SA2022

Inter-Individual Variability of Human Thermoregulation: Towards Personalized Ergonomics of the Indoor Thermal Environment

Dolaana Khovalyg

Indoor temperature maintenance represents a large portion of the energy used in buildings and reducing dependence on energy-intensive thermal conditioning systems would benefit our fight against climate change as well as potentially have positive effects o ...

2022

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

FRONTIERS MEDIA SA2022

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A persistent obstacle for constructing kinetic models of metabolism is uncertainty in the kinetic properties of enzymes. Currently, available methods for building kinetic models can cope indirectly with uncertainties by integrating data from different biol ...

2019

Machine Learning for Uncertainty Reduction in Biochemical Kinetic Models

Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret

The primary goal of kinetic models is to capture the systemic properties of the metabolic networks, and we need large-scale kinetic models for reliable in silico analyses of the complex dynamic behavior of metabolism. However, parameter uncertainty hinders ...

2018

Thermodynamics-based Metabolite Sensitivity Analysis in metabolic networks

Vassily Hatzimanikatis

The increasing availability of large metabolomics datasets enhances the need for computational methodologies that can organize the data in a way that can lead to the inference of meaningful relationships. Knowledge of the metabolic state of a cell and how ...

Elsevier2017

Essays in Financial Economics

Christoph Helmut Peter Herpfer

This thesis contains four chapters, each of which utilizes new or unusual data sources to analyze a different area of financial economics. In the first chapter, I construct a novel dataset linking individual bankers to large borrowers in the U.S. syndicate ...

EPFL2017

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Information about kinetics and enzyme activities while essential for quantitative understanding of metabolic dynamics remains rarely available and always involves uncertainty. In this work, we introduce the first computational methodology capable of determ ...

2016

Systematic Reduction of Genome Scale Metabolic Reconstructions - redGEM

Vassily Hatzimanikatis, Meriç Ataman, Georgios Fengos, Keng Cher Soh, Daniel Federico Hernandez Gardiol

Genome-scale metabolic reconstructions (GEMs) are valuable resources for understanding and redesigning cellular networks as they encapsulate all the known biochemistry of the organisms from genes to proteins to their functions. Complexity of these large me ...

2015

Gut-associated microbes of Drosophila melanogaster

Bruno Lemaitre, Nichole Broderick

There is growing interest in using Drosophila melanogaster to elucidate mechanisms that underlie the complex relationships between a host and its microbiota. In addition to the many genetic resources and tools Drosophila provides, its associated microbiota ...

2012