infonet-economy

The integration of autonomous vehicles (AVs) onto public roads presents both technical and social challenges. Public understanding and acceptance of AVs requires engagement with people who live in, work at or visit cities where they are deployed on public road networks. We investigate the impact of one of the first placements of AV passenger transport on public roadways: the Sion...

Theprocessesofradiomicsconsistofimage-basedpersonalizedtumorphenotypingforpre-cision medicine. They complement slow, costly and invasive molecular analysis of tumoral tissue. Whereastherelevanceofalargevarietyofquantitativeimagingbiomarkershasbeen demonstrated for various cancer types, most studies were based on 2D image analysis of relatively small patient cohorts. In this work, we...

Co-creation as a joint collaborative process between organizations and customers offers new models and sources of creativity and innovation for businesses to differentiate their value from the value their competitors offer. However, a successful co-creation strategy involves understanding the shared interests of the parties and resolving tensions between internal and external...

During the financial crisis that first hit the U.S. economy and soon became a world crisis, investors reduced their holdings of foreign equities, and, at the same time, they increased their holdings of short-term government bonds. The paper analyzes, within the context of a DSGE model, the hedging properties of foreign bond and foreign equity holdings during a crisis, when the degree...

This paper investigates the characteristics and performance of family investment holdings across the world. Their unique combination of family wealth and expertise and investments in stock markets make them a special asset class for retail investors. We find that families are strongly involved in terms of stake and management both in their holdings and the holding’s investments. We...

Object detection and recognition algorithms usually require large, annotated training sets. The creation of such datasets requires expensive manual annotation. Eye tracking can help in the annotation procedure. Humans use vision constantly to explore the environment and plan motor actions, such as grasping an object. In this paper we investigate the possibility to semi-automatically...

Electronic Data Capture (EDC) software solutions are progressively being adopted for conducting clinical trials and studies, carried out by biomedi-cal, pharmaceutical and health-care research teams. In this paper we present the MedRed Ontology, whose goal is to represent the metadata of these studies, using well-established standards, and reusing related vocabularies to describe...

Training deep convolutional neural network for classification in medical tasks is often difficult due to the lack of annotated data sam-ples. Deep convolutional networks (CNN) has been successfully used as an automatic detection tool to support the grading of diabetic retinopa-thy and macular edema. Nevertheless, the manual annotation of exu-dates in eye fundus images used to classify...

Dans cet article, les auteurs décrivent l’étude de la gestion du cycle de vie des données en cours en Suisse avec un accent sur la préservation à long terme. Basé sur une grande analyse de documents, ainsi que des entretiens semi-structurés, le projet décrit ci-dessous vise à fournir des services au niveau suisse pour les besoins les plus importants dans la gestion des données tout...