Concept

Demand curve

Publications associées (246)

Differential regulation of RNA polymerase III genes during liver regeneration

Olivier Martin, Bart Deplancke, Felix Naef, Jacques Rougemont, Nicolas Jean Philippe Guex, Marion Leleu, Fabrice David, Winship Herr, Mauro Delorenzi, Kyle Gustafson, Dominic Villeneuve, Cristian Carmeli, Sunil Kumar Raghav, Nouria Hernandez, Laura Symul, Irina Krier, Julien Delafontaine, Philippe Jacquet, Julia Catharina Cajan, Maykel Lopes, Ioannis Xenarios, François Mange

Mouse liver regeneration after partial hepatectomy involves cells in the remaining tissue synchronously entering the cell division cycle. We have used this system and H3K4me3, Pol II and Pol III profiling to characterize adaptations in Pol III transcriptio ...

Oxford University Press (OUP)2019

The Role of Research and Innovation for the Transition to a Circular Economy in Europe. Evidence from the Community Innovation Survey 2014

The signature of international commitments such as the Sustainable Development Goals (SDGs) and the COP21 Paris Agreement in 2015 demonstrates a current favourable policy context to address environmental issues. These engagements have been endorsed by the ...

Paul Scherrer Institute, World Resources Forum2019

Photocatalytic ammonia production enhanced by a plasmonic near-field and hot electrons originating from aluminium nanostructures

Olivier Martin, Christian Santschi, Madasamy Thangamuthu

Ammonia production at room temperature and atmospheric pressure is in high demand to assist in energy saving and the protection of the environment worldwide, as well as to help reduce CO2 emissions. Recently, plasmonic nanomaterials have been frequently us ...

2019

From quantum spin chains to square lattice Heisenberg anti-ferromagnets

Noore Elahi Shaik

This thesis presents a theoretical study of the Heisenberg model on a two dimensional lattice with asymmetric couplings along x and y directions. By gradually varying the coupling along y-direction we traverse the 1D, quasi 1D and 2D domains of this model. ...

EPFL2019

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state and inflow demands, both requiring information about the origins and destinations of drivers. Such assumptio ...

IEEE2019

Adding flexibility to multi-tenant networks

Georgios Ioannidis

Cloud computing has been experiencing sharp development over the last years, leading to an increased demand for application migration to the cloud. Cloud providers, in an effort to attract more customers and earn their confidence, offer to tenants the illu ...

EPFL2018

Distributed Multi-Unit Privacy Assured Bidding (PAB) for Smart Grid Demand Response Programs

Muhammed Fatih Balli

The stringent requirement of the demand-supply equilibrium for delivering electricity has traditionally been dealt with a supply-side perspective, assuming that the demand is not alterable. With the promises of the Smart Grid, demand- side management techn ...

2018

Mitigating the impact of selfish routing: An optimal-ratio control scheme (ORCS) inspired by autonomous driving

Kenan Zhang

Fully controllable autonomous vehicles offer unprecedented opportunities to address the inefficiency associated with selfish routing, a fundamental issue in transportation network modeling. This study proposes a route control scheme that aims to strike a b ...

2018

Two management strategies for improving passenger transfer experience in train stations

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

Exploiting the full potential of pedestrian infrastructures in order to satisfy the demand induced by public transport modes is key to achieving good level-of-service for passengers during transfers. High temporal variability in demand can lead to high con ...

2018

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan, Xiaoyu Qu

Modern cloud data centers (DCs) need to tackle efficiently the increasing demand for computing resources and address the energy efficiency challenge. Therefore, it is essential to develop resource provisioning policies that are aware of virtual machine (VM ...

2018

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