9 research outputs found

    Modus D4.1 Interface to modal choice model

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    This deliverable is the first deliverable of WP4 of the Modus project which aims to develop highly detailed low-level results on the present and future of the mobility of passengers in Europe based on flight and passenger metrics. The purpose of this document is to describe the methodology designed and developed to translate the output results of the modal choice model into individual passenger itineraries that are going to be used by the mobility models. Additionally, it outline so-far identified data requirements and processing needs to create valid input for the rest of the models developed in Modus: flight-centred airside model RNEST, passenger-centric airside model Mercury, and the landside model (i.e. door-to-door model)

    Modus D4.2 Mobility models description

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    Air-rail multimodal mobility has the potential to play a significant role in addressing European mobility challenges such as emissions reduction goals, and capacity shortages, and in moving towards a wider European multimodal transport network. There is still a need to better understand the potential role of rail when substituting current air links both from a strategic and a full, tactical mobility perspective, particularly when passenger connections are considered. Here we present the development of an innovative approach towards data driven, integrated air-rail modelling, considering passenger door-to-door itineraries

    Modus D5.2 Final project results report

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    The Final Project Results Report of the Modus project provides a comprehensive overview of the project. First, it outlines the operational context, the project scope and the objectives in order to show the relevance of the project to the ATM Master Plan as well as other European high-level strategic mobility agendas. Based on this scope and the objectives, the report describes the work performed and discusses the key project results, including a list of all technical deliverables. Based on the work performed and the results, the report contains a detailed maturity gate assessment which described the Modus solution and how this solution has been achieved. Furthermore, the report describes the overall conclusions of the project, the technical lessons learned and identifies further R&D needs

    Hysterectomy, a time to change the terminology

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    Evaluation of DNA Methylation Episignatures for Diagnosis and Phenotype Correlations in 42 Mendelian Neurodevelopmental Disorders

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    Contains fulltext : 218274.pdf (Publisher’s version ) (Closed access)Genetic syndromes frequently present with overlapping clinical features and inconclusive or ambiguous genetic findings which can confound accurate diagnosis and clinical management. An expanding number of genetic syndromes have been shown to have unique genomic DNA methylation patterns (called "episignatures"). Peripheral blood episignatures can be used for diagnostic testing as well as for the interpretation of ambiguous genetic test results. We present here an approach to episignature mapping in 42 genetic syndromes, which has allowed the identification of 34 robust disease-specific episignatures. We examine emerging patterns of overlap, as well as similarities and hierarchical relationships across these episignatures, to highlight their key features as they are related to genetic heterogeneity, dosage effect, unaffected carrier status, and incomplete penetrance. We demonstrate the necessity of multiclass modeling for accurate genetic variant classification and show how disease classification using a single episignature at a time can sometimes lead to classification errors in closely related episignatures. We demonstrate the utility of this tool in resolving ambiguous clinical cases and identification of previously undiagnosed cases through mass screening of a large cohort of subjects with developmental delays and congenital anomalies. This study more than doubles the number of published syndromes with DNA methylation episignatures and, most significantly, opens new avenues for accurate diagnosis and clinical assessment in individuals affected by these disorders
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