TY - JOUR A1 - Abel, Alexander A1 - Kahmann, Stephanie Lucina A1 - Mellon, Stephen A1 - Staat, Manfred A1 - Jung, Alexander T1 - An open-source tool for the validation of finite element models using three-dimensional full-field measurements JF - Medical Engineering & Physics N2 - Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed. Y1 - 2020 U6 - https://doi.org/10.1016/j.medengphy.2019.10.015 SN - 1350-4533 VL - 77 SP - 125 EP - 129 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Förster, Arnold A1 - Verghese, S. A1 - Zamdmer, N. A1 - Hu, Qing T1 - An optical correlator using a low-temperature-grown GaAs photoconductor / S. Verghese ; N. Zamdmer ; Qing Hu .... A. Förster JF - Applied physics letters. 69 (1996), H. 6 Y1 - 1996 SN - 0003-6951 N1 - ISSN der E-Ausg.: 1077-3118 SP - 842 EP - 844 ER - TY - CHAP A1 - Alhwarin, Faraj A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - An Optimized Method for 3D Body Scanning Applications Based on KinectFusion T2 - Communications in Computer and Information Science Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-29196-9_6 SN - 1865-0929 N1 - 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Funchal; Portugal; 19 January 2018 through 21 January 2018 VL - 1024 SP - 100 EP - 113 PB - Springer ER - TY - JOUR A1 - Emonts, Jessica A1 - Buyel, Johannes Felix T1 - An overview of descriptors to capture protein properties – Tools and perspectives in the context of QSAR modeling JF - Computational and Structural Biotechnology Journal N2 - Proteins are important ingredients in food and feed, they are the active components of many pharmaceutical products, and they are necessary, in the form of enzymes, for the success of many technical processes. However, production can be challenging, especially when using heterologous host cells such as bacteria to express and assemble recombinant mammalian proteins. The manufacturability of proteins can be hindered by low solubility, a tendency to aggregate, or inefficient purification. Tools such as in silico protein engineering and models that predict separation criteria can overcome these issues but usually require the complex shape and surface properties of proteins to be represented by a small number of quantitative numeric values known as descriptors, as similarly used to capture the features of small molecules. Here, we review the current status of protein descriptors, especially for application in quantitative structure activity relationship (QSAR) models. First, we describe the complexity of proteins and the properties that descriptors must accommodate. Then we introduce descriptors of shape and surface properties that quantify the global and local features of proteins. Finally, we highlight the current limitations of protein descriptors and propose strategies for the derivation of novel protein descriptors that are more informative. KW - Prediction of molecular features KW - Protein structure complexity KW - Quantitative structure activity relationship KW - Scalar parameters KW - Shape and surface properties Y1 - 2023 U6 - https://doi.org/10.1016/j.csbj.2023.05.022 SN - 2001-0370 (online-ressource) IS - 21 SP - 3234 EP - 3247 PB - Research Network of Computational and Structural Biotechnology CY - Gotenburg ER - TY - JOUR A1 - Funke, Harald A1 - Beckmann, Nils A1 - Abanteriba, Sylvester T1 - An overview on dry low NOx micromix combustor development for hydrogen-rich gas turbine applications JF - International Journal of Hydrogen Energy Y1 - 2019 U6 - https://doi.org/10.1016/j.ijhydene.2019.01.161 SN - 0360-3199 VL - 44 IS - 13 SP - 6978 EP - 6990 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Stulpe, Werner A1 - Gudder, S. A1 - Hagler, J. T1 - An Uncertainty Relation for Joint Position-Momentum Measurements JF - Foundations of Physics Letters. 1 (1988), H. 3 Y1 - 1988 SN - 1572-9524 SP - 287 EP - 292 ER - TY - JOUR A1 - Pham, Phu Tinh A1 - Staat, Manfred T1 - An Upper Bound Algorithm for Limit and Shakedown Analysis of Bounded Linearly Kinematic Hardening Structures JF - Limit State of Materials and Structures : Direct Methods 2. Saxcé, Géry de (Hrsg.) Y1 - 2013 SN - 978-94-007-5424-9 SP - 71 EP - 87 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Schuba, Marko T1 - Analyse der Antwortzeit von zuverlässigen Multicast-Protokollen im Internet JF - Multicast - Protokolle und Anwendungen : 20. - 21. Mai 1999, Braunschweig; 1. GI-Workshop / [Workshop-Leitung: Martina Zitterbart ...] Y1 - 1999 SP - 1 EP - 14 CY - Braunschweig ER - TY - JOUR A1 - Block, Simon A1 - Viebahn, Peter A1 - Jungbluth, Christian T1 - Analysing direct air capture for enabling negative emissions in Germany: an assessment of the resource requirements and costs of a potential rollout in 2045 JF - Frontiers in Climate N2 - Direct air capture (DAC) combined with subsequent storage (DACCS) is discussed as one promising carbon dioxide removal option. The aim of this paper is to analyse and comparatively classify the resource consumption (land use, renewable energy and water) and costs of possible DAC implementation pathways for Germany. The paths are based on a selected, existing climate neutrality scenario that requires the removal of 20 Mt of carbon dioxide (CO2) per year by DACCS from 2045. The analysis focuses on the so-called “low-temperature” DAC process, which might be more advantageous for Germany than the “high-temperature” one. In four case studies, we examine potential sites in northern, central and southern Germany, thereby using the most suitable renewable energies for electricity and heat generation. We show that the deployment of DAC results in large-scale land use and high energy needs. The land use in the range of 167–353 km2 results mainly from the area required for renewable energy generation. The total electrical energy demand of 14.4 TWh per year, of which 46% is needed to operate heat pumps to supply the heat demand of the DAC process, corresponds to around 1.4% of Germany's envisaged electricity demand in 2045. 20 Mt of water are provided yearly, corresponding to 40% of the city of Cologne‘s water demand (1.1 million inhabitants). The capture of CO2 (DAC) incurs levelised costs of 125–138 EUR per tonne of CO2, whereby the provision of the required energy via photovoltaics in southern Germany represents the lowest value of the four case studies. This does not include the costs associated with balancing its volatility. Taking into account transporting the CO2 via pipeline to the port of Wilhelmshaven, followed by transporting and sequestering the CO2 in geological storage sites in the Norwegian North Sea (DACCS), the levelised costs increase to 161–176 EUR/tCO2. Due to the longer transport distances from southern and central Germany, a northern German site using wind turbines would be the most favourable. KW - rollout KW - economics KW - Germany KW - negative emissions KW - carbon dioxide removal KW - climate neutrality KW - DAC KW - direct air capture Y1 - 2024 U6 - https://doi.org/10.3389/fclim.2024.1353939 SN - 2624-9553 VL - 6 PB - Frontiers CY - Lausanne ER - TY - JOUR A1 - Harris, Isaac A1 - Kleefeld, Andreas T1 - Analysis and computation of the transmission eigenvalues with a conductive boundary condition JF - Applicable Analysis N2 - We provide a new analytical and computational study of the transmission eigenvalues with a conductive boundary condition. These eigenvalues are derived from the scalar inverse scattering problem for an inhomogeneous material with a conductive boundary condition. The goal is to study how these eigenvalues depend on the material parameters in order to estimate the refractive index. The analytical questions we study are: deriving Faber–Krahn type lower bounds, the discreteness and limiting behavior of the transmission eigenvalues as the conductivity tends to infinity for a sign changing contrast. We also provide a numerical study of a new boundary integral equation for computing the eigenvalues. Lastly, using the limiting behavior we will numerically estimate the refractive index from the eigenvalues provided the conductivity is sufficiently large but unknown. KW - Boundary integral equations KW - Inverse spectral problem KW - Conductive boundary condition KW - Transmission eigenvalues Y1 - 2020 U6 - https://doi.org/10.1080/00036811.2020.1789598 SN - 1563-504X VL - 101 IS - 6 SP - 1880 EP - 1895 PB - Taylor & Francis CY - London ER -