Predictive scaling of fiber-based protein A capture chromatography using mechanistic modeling.
Sign Up to like & getrecommendations! Published in 2023 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.28434
Abstract: Protein A affinity chromatography is an important step in the purification of monoclonal antibodies (mAbs) and mAb-derived biotherapeutics. While the biopharma industry has extensive expertise in the operation of protein A chromatography, the mechanistic understanding… read more here.
Keywords: adsorption; fiber based; based protein; chromatography ... See more keywords
Inverse problems in blood flow modeling: A review
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3613
Abstract: Mathematical and computational modeling of the cardiovascular system is increasingly providing non‐invasive alternatives to traditional invasive clinical procedures. Moreover, it has the potential for generating additional diagnostic markers. In blood flow computations, the personalization of… read more here.
Keywords: inverse problems; inverse; review; problems blood ... See more keywords
[Biomechanical modeling and the relevance for total hip arthroplasty].
Sign Up to like & getrecommendations! Published in 2019 at "Der Orthopade"
DOI: 10.1007/s00132-019-03695-9
Abstract: BACKGROUND Providing the hip with an endoprosthesis is one of the most common orthopedic interventions in Germany. The long-term success of such a procedure depends on the consideration of the loads due to muscle and joint… read more here.
Keywords: analysis; modeling; hip arthroplasty; biomechanical modeling ... See more keywords
Stochastic hyperelastic modeling considering dependency of material parameters
Sign Up to like & getrecommendations! Published in 2018 at "Computational Mechanics"
DOI: 10.1007/s00466-018-1563-z
Abstract: This paper investigates the uncertainty of a hyperelastic model by treating random material parameters as stochastic variables. For its stochastic discretization a polynomial chaos expansion (PCE) is used. An important aspect in our work is… read more here.
Keywords: stochastic dependencies; parameters stochastic; modeling; material parameters ... See more keywords
Microscale mechanical modeling of deformable geomaterials with dynamic contacts based on the numerical manifold method
Sign Up to like & getrecommendations! Published in 2020 at "Computational Geosciences"
DOI: 10.1007/s10596-020-09992-z
Abstract: Micromechanical modeling of geomaterials is challenging because of the complex geometry of discontinuities and potentially large number of deformable material bodies that contact each other dynamically. In this study, we have developed a numerical approach… read more here.
Keywords: modeling; geomaterials dynamic; deformable geomaterials; dynamic contacts ... See more keywords
Exploration of Gibbs-Laguerre Tessellations for Three-Dimensional Stochastic Modeling
Sign Up to like & getrecommendations! Published in 2019 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-019-09757-x
Abstract: Random tessellations are well suited for probabilistic modeling of three-dimensional (3D) grain microstructures of polycrystalline materials. The present paper is focused on so-called Gibbs-Laguerre tessellations, in which the generators of the Laguerre tessellation form a… read more here.
Keywords: three dimensional; gibbs laguerre; modeling; exploration gibbs ... See more keywords
Fast character modeling with sketch-based PDE surfaces
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09060-9
Abstract: Virtual characters are 3D geometric models of characters. They have a lot of applications in multimedia. In this paper, we propose a new physics-based deformation method and efficient character modelling framework for creation of detailed… read more here.
Keywords: shape manipulation; shape; pde surfaces; modeling ... See more keywords
Review of Patient-Specific Vascular Modeling: Template-Based Isogeometric Framework and the Case for CAD
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-017-9246-z
Abstract: We review the literature on patient-specific vascular modeling, with particular attention paid to three-dimensional arterial networks. Patient-specific vascular modeling typically involves three main steps: image processing, analysis suitable model generation, and computational analysis. Analysis suitable… read more here.
Keywords: review; cad; vascular modeling; patient specific ... See more keywords
Quantifying the Differences in Documentation and Modeling Levels for Building Pathology and Diagnostics
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-019-09350-y
Abstract: Building pathology and diagnostics enable a practitioner to quantify the severity of damage to an existing structure as well as prioritize interventive and preventive measures. Two key aspects of building pathology and diagnostics are documentation… read more here.
Keywords: differences documentation; pathology diagnostics; pathology; modeling ... See more keywords
Mapping benthic biodiversity using georeferenced environmental data and predictive modeling
Sign Up to like & getrecommendations! Published in 2017 at "Marine Biodiversity"
DOI: 10.1007/s12526-017-0765-5
Abstract: Biodiversity is critical for maintaining and stabilizing ecosystem processes. There is a need for high-resolution biodiversity maps that cover large sea areas in order to address ecological questions related to biodiversity-ecosystem functioning relationships and to… read more here.
Keywords: predictive modeling; georeferenced environmental; modeling; environmental data ... See more keywords
Collaborative Modeling: Experience of the U.S. Preventive Services Task Force.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of preventive medicine"
DOI: 10.1016/j.amepre.2017.07.003
Abstract: Models can be valuable tools to address uncertainty, trade-offs, and preferences when trying to understand the effects of interventions. Availability of results from two or more independently developed models that examine the same question (comparative… read more here.
Keywords: collaborative modeling; task force; preventive services; modeling ... See more keywords