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Satisfiability of Elastic Demand in the Smart Grid

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Electrolyte-gated carbon nanotube field-effect transistorbased biosensors: Principles and applications

Nako Nakatsuka, Mattia Petrelli

Nowadays, there is a high demand for sensitive and selective real-time analytical methods suitable for a wide range of applications, from personalized telemedicine, drug discovery, food safety, and quality control, to defense, security, as well as environm ...

2021

As more private firms participate in public projects aiming to increase their profits by adjusting operational strategies, there has been an increasing demand for structural identification in the operational phase. In this paper, we propose a framework for ...

2020

Assessing motorcycle taxi activity in Cameroon using GPS devices

Jérôme Chenal, Armel Firmin Kemajou Mbianda, Martí Bosch Padrós, Rémi Jaligot

The emergence of motorcycle taxis as a mode of urban transport in Africa can be seen as a bottom-up response to the larger problem of a demand that is not sufficiently met by public services. Transcending the debates regarding the relevance of this solutio ...

2019

DARWIN'S THEATRE / BABL AT WORK

Alexandre Blanc, Marco Bakker

Marco Bakker and Alexandre Blanc established their architectural firm, BABL Bakker & Blanc architectes associés, in Switzerland in 1992. At their offices in Lausanne and Zurich, they develop designs that are modest yet reflect the high demands of the built ...

Park Books2019

On the price elasticity of demand for trademarks

Gaétan Jean A de Rassenfosse

One underexplored factor directly affecting firms' use of trademarks relates to the fees associated with obtaining a mark. This paper provides econometric estimates of the fee elasticity of demand for trademark applications. Using a panel of monthly intern ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2019

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

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

Demand information is an input for a great deal of operations research models. Assumed as given in many problem instances addressed in the literature, demand data are difficult to generate. In this tutorial, we provide an introduction to disaggregate deman ...

2017

Efficient inference for genetic association studies with multiple outcomes

Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux

Combined inference for heterogeneous high-dimensional data is critical in modern biology, where clinical and various kinds of molecular data may be available from a single study. Classical genetic association studies regress a single clinical outcome on ma ...

Oxford University Press2017

Motivated by the recent progress in the nanofabrication field and the increasing demand for cost--effective, portable, and easy-to-use point-of-care platforms, localized surface plasmon resonance (LSPR) biosensors have been subjected to a great scientific ...

Walter De Gruyter Gmbh2017