1,721,108 research outputs found
Data-Driven Building Energy Modelling – Generalisation Potential of Energy Signatures Through Interpretable Machine Learning
No full textBuilding energy modeling based on data-driven techniques has been demonstrated to be effective in a variety of situations. However, the question about its limits in terms of generalization is still open. The ability of a machine-learning model to adapt to previously unseen data and function satisfactorily is known as generalization. Apart from that, while machine-learning techniques are incredibly effective, interpretability is required for a "human-in-the-loop" approach to be successful. This study develops and tests a flexible regression-based approach applied to monitored energy data on a Passive House building. The formulation employs dummy (binary) variables as a piecewise linearization method, with the procedures for producing them explicitly stated to ensure interpretability. The results are described using statistical indicators and a graphic technique that allows for comparison across levels in the building systems. Finally, suggestions are provided for further steps toward generalization in data-driven techniques for energy in buildings
PAPILLOMAVIRUS L2 C-TERMINAL PEPTIDES FOR VACCINATIONApplication No. 10164764.2 - 2406Deutsches Krebsforschungszentrum (DKFZ - Heidelberg)
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Separation of the 35000 Mr DCCD-reactive protein from the phosphate carrier and its purification from heart mitochondria.
No full textHIGH THROUGHPUT METHOD FOR DETERMINING THE PRESENCE OF PAPILLOMAVIRUS-NEUTRALIZING ANTIBODIES IN A SAMPLE.Application No. 10164765.9 - 2404 Deutsches Krebsforschungszentrum (DKFZ - Heidelberg)
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IMMUNOGENIC POLYPEPTIDES COMPRISING A SCAFFOLD POLYPEPTIDE AND A L2 POLYPEPTIDE OR FRAGMENT THEREOF (EP2376525B1)
No full textThe present invention relates to an immunogenic polypeptide comprising a) a scaffold polypeptide, and b) a L2 polypeptide or a fragment of said L2 polypeptide, wherein said scaffold polypeptide constrains the structure of said L2 polypeptide, or of a fragment of said L2 polypeptide. Moreover, the present invention relates to a vaccine comprising said immunogenic polypeptide. The present invention is also concerned with a method for producing an antibody against human papillomavirus. Also encompassed by the present invention is an antibody obtained by carrying out the said method
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