Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the second deliverable (4.2) of work package 4, which is dedicated to identifying and assessing road safety measures related to road users in terms of their effectiveness. The focus of deliverable 4.2 is on the identification and assessment of countermeasures and describes the corresponding operational procedure and outcomes. Measures which intend to increase road safety of all kind of road user groups have been considered. The following steps have been carried out: " Identification of human related road safety measures- creation of a taxonomy " Consultation of relevant stakeholders and outcomes of previous related projects for identification of most important human related measures " Systematic literature search and selection of relevant studies on identified key measures " Coding of evaluation studies " Analysis of key measures on basis of coded studies " Synopses of key measures. The core output of this task are synopses on road safety measures, which will also be available through the DSS. Within the synopses, each countermeasure (or group of measures) was analysed systematically on basis of scientific studies and is further assigned to one of four levels of effectiveness (marked with a colour code). Essential information of around 240 included studies was coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the measures and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections can be read independently. It is important to note that ...
Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the second deliverable (4.2) of work package 4, which is dedicated to identifying and assessing road safety measures related to road users in terms of their effectiveness. The focus of deliverable 4.2 is on the identification and assessment of countermeasures and describes the corresponding operational procedure and outcomes. Measures which intend to increase road safety of all kind of road user groups have been considered. The following steps have been carried out: " Identification of human related road safety measures- creation of a taxonomy " Consultation of relevant stakeholders and outcomes of previous related projects for identification of most important human related measures " Systematic literature search and selection of relevant studies on identified key measures " Coding of evaluation studies " Analysis of key measures on basis of coded studies " Synopses of key measures. The core output of this task are synopses on road safety measures, which will also be available through the DSS. Within the synopses, each countermeasure (or group of measures) was analysed systematically on basis of scientific studies and is further assigned to one of four levels of effectiveness (marked with a colour code). Essential information of around 240 included studies was coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the measures and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections can be read independently. It is important to note that ...
Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the second deliverable (4.2) of work package 4, which is dedicated to identifying and assessing road safety measures related to road users in terms of their effectiveness. The focus of deliverable 4.2 is on the identification and assessment of countermeasures and describes the corresponding operational procedure and outcomes. Measures which intend to increase road safety of all kind of road user groups have been considered. The following steps have been carried out: " Identification of human related road safety measures- creation of a taxonomy " Consultation of relevant stakeholders and outcomes of previous related projects for identification of most important human related measures " Systematic literature search and selection of relevant studies on identified key measures " Coding of evaluation studies " Analysis of key measures on basis of coded studies " Synopses of key measures. The core output of this task are synopses on road safety measures, which will also be available through the DSS. Within the synopses, each countermeasure (or group of measures) was analysed systematically on basis of scientific studies and is further assigned to one of four levels of effectiveness (marked with a colour code). Essential information of around 240 included studies was coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the measures and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections can be read independently. It is important to note that ...
eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational safety assessment of new drugs by using legacy data provided by the pharmaceutical companies that participate in the project. The project objectives include the development of databases containing preclinical and clinical data, computational systems for translational analysis including tools for data query, analysis and visualization, as well as computational models to explain and predict drug safety events. ; This research received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreements eTRANSAFE (777365). This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA companies in kind contribution. The Research Programme on Biomedical Informatics (GRIB) of IMIM and DCEXS-UPF is a member of the Spanish National Bioinformatics Institute (INB), PRB2-ISCIII and is supported by grant PT13/0001/0023, of the PE I + D + i 2013–2016, funded by ISCIII and FEDER. The GRIB also receive support from Agència de Gestió D'ajuts Universitaris i de Recerca Generalitat de Catalunya (AGAUR, ref.: 2017SGR01020). The DCEXS is a "Unidad de Excelencia María de Maeztu", funded by the MINECO (ref: MDM-2014-0370). ; Peer Reviewed ; Postprint (published version)
Frontmatter --Contents --Digging into Digital Roots. Towards a Conceptual Media and Communication History --Technologies and Connections --Networks --Media Convergence --Multimedia --Interactivity --Artificial Intelligence --Agency and Politics --Global Governance --Data(fication) --Fake News --Echo Chambers --Digital Media Activism --Users and Practices --Telepresence --Digital Loneliness --Amateurism --User-Generated Content (UGC) --Fandom --Authenticity --Authors
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The Alzheimer's Association's Research Roundtable met in November 2017 to explore the new National Institute on Aging and the Alzheimer's Association Research Framework for Alzheimer's disease. The meeting allowed experts in the field from academia, industry, and government to provide perspectives on the new National Institute on Aging and the Alzheimer's Association Research Framework. This review will summarize the "A, T, N System" (Amyloid, Tau, and Neurodegeneration) using biomarkers and how this may be applied to clinical research and drug development. In addition, challenges and barriers to the potential adoption of this new framework will be discussed. Finally, future directions for research will be proposed.
AbstractIdentity leadership captures leaders efforts to create and promote a sense of shared group membership (i.e., a sense of "we" and of "us") among followers. The present research report tests this claim by drawing on data from 26 countries that are part of the Global Identity Leadership Development (GILD) project to examine the relationship between political leaders' identity leadership and civic citizenship behavior (N = 6787). It also examines the contributions of trust and economic inequality to this relationship. Political leaders' identity leadership (PLIL) was positively associated with respondents' people‐oriented civic citizenship behaviors (CCB‐P) in 20 of 26 countries and civic citizenship behaviors aimed at one's country (CCB‐C) in 23 of 26 countries. Mediational analyses also confirmed the indirect effects of PLIL via trust in fellow citizens on both CCB‐P (in 25 out of 26 countries) and CCB‐C (in all 26 countries). Economic inequality moderated these effects such that the main and indirect effects of trust in one's fellow citizens on CCB‐C were stronger in countries with higher economic inequality. This interaction effect was not observed for CCB‐P. The study highlights the importance of identity leadership and trust in fellow citizens in promoting civic citizenship behavior, especially in the context of economic inequality.
Homotherium was a genus of large-bodied scimitar-toothed cats, morphologically distinct from any extant felid species, that went extinct at the end of the Pleistocene [1–4]. They possessed large, saber-form serrated canine teeth, powerful forelimbs, a sloping back, and an enlarged optic bulb, all of which were key characteristics for predation on Pleistocene megafauna [5]. Previous mitochondrial DNA phylogenies suggested that it was a highly divergent sister lineage to all extant cat species [6–8]. However, mitochondrial phylogenies can be misled by hybridization [9], incomplete lineage sorting (ILS), or sex-biased dispersal patterns [10], which might be especially relevant for Homotherium since widespread mito-nuclear discrepancies have been uncovered in modern cats [10]. To examine the evolutionary history of Homotherium, we generated a 7x nuclear genome and a 38x exome from H. latidens using shotgun and target-capture sequencing approaches. Phylogenetic analyses reveal Homotherium as highly divergent (22.5 Ma) from living cat species, with no detectable signs of gene flow. Comparative genomic analyses found signatures of positive selection in several genes, including those involved in vision, cognitive function, and energy consumption, putatively consistent with diurnal activity, well-developed social behavior, and cursorial hunting [5]. Finally, we uncover relatively high levels of genetic diversity, suggesting that Homotherium may have been more abundant than the limited fossil record suggests [3, 4, 11–14]. Our findings complement and extend previous inferences from both the fossil record and initial molecular studies, enhancing our understanding of the evolution and ecology of this remarkable lineage. ; This project received funding from the European Union's Seventh Framework Programme for Research, Technological Development, and Demonstration under grant agreement no. FP7-PEOPLE-2011-IEF-298820 and ERC Consolidator Award 681396—Extinction Genomics to M.T.P.G. Portions of this manuscript were prepared while W.E.J. held a National Research Council Research Associateship Award at the Walter Reed Army Institute of Research (WRAIR).
