47 research outputs found
Towards deriving freight traffic measures from truck movement data for state road planning::a proposed system framework
Get PDFMental health and school dropout across educational levels and genders: a 4.8-year follow-up study
Full text linkExpression of uPAR in tumor-associated stromal cells is associated with colorectal cancer patient prognosis: a TMA study
Full text linkHistological studies of extracellular matrix degrading proteases in primary colon adenocarcinomas and their liver metastais
No full textPLAUR (plasminogen activator, urokinase receptor)
Get PDFReview on PLAUR (plasminogen activator, urokinase receptor), with data on DNA, on the protein encoded, and where the gene is implicated
Towards Sharing Data of Private Freight Companies with Public Policy Makers:A Proposed Framework for Identifying Uses of the Shared Data
No full textAltered expression of the urokinase receptor homologue, C4.4A, in invasive areas of human esophageal squamous cell carcinoma
No full textDiscrimination of different forms of the murine urokinase plasminogen activator receptor on the cell surface using monoclonal antibodies
No full textHepatic effects of NS-0200 (Leucine-Metformin-Sildenafil) in an obese mouse model of diet-induced and biopsy-confirmed NASH
No full textIdentification of best uses of private freight data to support planning needs in public road sector: udvidet resumé
No full textAs congestion on Danish roads is increasing, it is imperative that solutions be suggested for the issues caused by this, e.g. prolonged travel time, bottlenecks, etc. A first step towards reducing congestion is to provide public policy makers in road sectors with valuable knowledge on how the roads are being used by freight transport. This can be achieved through collecting freight data from private freight transport companies and analysing the collected data to derive analytics that can inform planning decisions on the road infrastructure. Because there exist many data analytics that can be derived from shared freight data, it is essential to identify which data analytics can efficiently support the decision-making processes. This study presents a proposed framework that can be used to help identify the best uses of shared freight data, which best fit the needs of their public sectors/organizations
