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Year of publication
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- CAD (8)
- civil engineering (8)
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- FEM (6)
- Limit analysis (6)
- Shakedown analysis (6)
- shakedown analysis (6)
Suspension depletion approach for exemption of infected Solanum jasminoides cells from pospiviroids
(2018)
Despite numerous studies, viroid elimination from infected plants remains a very challenging task. This study introduces for the first time a novel ‘suspension depletion’ approach for exemption of Solanum jasminoides plants from viroids. The proposed method implies initial establishment of suspension cultures of the infected plant cells. The suspended cells were then physically treated (mild thermotherapy, 33 °C), which presumably delayed the replication of the viroid. The viroid concentration in the treated biomass was monitored weekly using pospiviroid-specific PCR. After 10–12 weeks of continuous treatment, a sufficient decrease in viroid concentration was observed such that the infection became undetectable by PCR. The treated single cells then gave rise to microcolonies on a solid culture medium and the obtained viroid-negative clones were further promoted to regenerate into viroid-free plants. Three years of accumulated experimental data suggests feasibility, broad applicability, and good efficacy of the proposed approach.
A new in vitro tool to investigate cardiac contractility under physiological mechanical conditions
(2019)
Linder, Peter ; Beckler, Matthias ; Doerr, Leo ; Stoelzle-Feix, Sonja ; Fertig, Niels ; Jung, Alexander ; Staat, Manfred ; Gossmann, Matthias
Schieren, Mark ; Kleinschmidt, Joris ; Schmutz, Axel ; Loop, Torsten ; Gatzweiler, Karl-Heinz ; Staat, Manfred ; Wappler, Frank ; Defosse, Jerome
In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted.
This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.
Entwicklung eines Prototypen zur Prognose von Frühgeburten : ein biomedizintechnischer Ansatz
(2012)
Numerical methods for limit and shakedown analysis. Deterministic and probabilistic problems.
(2003)
Leschinger, Tim ; Besch, Katharina ; Aydin, Cansu ; Staat, Manfred ; Scaal, Martin ; Müller, Lars Peter ; Wegmann, Kilian
Hydrogen peroxide (H2O2) is a typical surface sterilization agent for packaging materials used in the pharmaceutical, food and beverage industries. We use the finite-elements method to analyze the conceptual design of an in-line thermal evaporation unit to produce a heated gas mixture of air and evaporated H2O2 solution. For the numerical model, the required phase-transition variables of pure H2O2 solution and of the aerosol mixture are acquired from vapor-liquid equilibrium (VLE) diagrams derived from vapor-pressure formulations. This work combines homogeneous single-phase turbulent flow with heat-transfer physics to describe the operation of the evaporation unit. We introduce the apparent heat-capacity concept to approximate the non-isothermal phase-transition process of the H2O2-containing aerosol. Empirical and analytical functions are defined to represent the temperature- and pressure-dependent material properties of the aqueous H2O2 solution, the aerosol and the gas mixture. To validate the numerical model, the simulation results are compared to experimental data on the heating power required to produce the gas mixture. This shows good agreement with the deviations below 10%. Experimental observations on the formation of deposits due to the evaporation of stabilized H2O2 solution fits the prediction made from simulation results.
Turlybekuly, Amanzhol ; Pogrebnjak, Alexander ; Sukhodub, L. F. ; Sukhodub, Liudmyla B. ; Kistaubayeva, A. S. ; Savitskaya, Irina ; Shokatayeva, D. H. ; Bondar, Oleksandr V. ; Shaimardanov, Z. K. ; Plotnikov, Sergey V. ; Shaimardanova, B. H. ; Digel, Ilya
Werkhausen, Amelie ; Cronin, Neil J. ; Albracht, Kirsten ; Bojsen-Møller, Jens ; Seynnes, Olivier R.
Schöning, Michael Josef ; Wagner, Torsten ; Poghossian, Arshak ; Miyamoto, K.I. ; Werner, C.F. ; Krause, S. ; Yoshinobu, T.
Capri, Miriam ; Morsiani, Cristina ; Santoro, Aurelia ; Moriggi, Manuela ; Conte, Maria ; Martucci, Morena ; Bellavista, Elena ; Fabbri, Cristina ; Giampieri, Enrico ; Albracht, Kirsten ; Flück, Martin ; Ruoss, Severin ; Brocca, Lorenza ; Canepari, Monica ; Longa, Emanuela ; Giulio, Irene Di ; Bottinelli, Roberto ; Cerretelli, Paolo ; Salvioli, Stefano ; Gelfi, Cecilia ; Franceschi, Claudio ; Narici, Marco ; Rittweger, Jörn
A light-addressable potentiometric sensor (LAPS) is a field-effect-based (bio-) chemical sensor, in which a desired sensing area on the sensor surface can be defined by illumination. Light addressability can be used to visualize the concentration and spatial distribution of the target molecules, e.g., H+ ions. This unique feature has great potential for the label-free imaging of the metabolic activity of living organisms. The cultivation of those organisms needs specially tailored surface properties of the sensor. O2 plasma treatment is an attractive and promising tool for rapid surface engineering. However, the potential impacts of the technique are carefully investigated for the sensors that suffer from plasma-induced damage. Herein, a LAPS with a Ta2O5 pH-sensitive surface is successfully patterned by plasma treatment, and its effects are investigated by contact angle and scanning LAPS measurements. The plasma duration of 30 s (30 W) is found to be the threshold value, where excessive wettability begins. Furthermore, this treatment approach causes moderate plasma-induced damage, which can be reduced by thermal annealing (10 min at 300 °C). These findings provide a useful guideline to support future studies, where the LAPS surface is desired to be more hydrophilic by O2 plasma treatment.
Iken, Heiko ; Bronder, Thomas ; Goretzki, Alexander ; Kriesel, Jana ; Ahlborn, Kristina ; Gerlach, Frank ; Vonau, Winfried ; Zander, Willi ; Schubert, Jürgen ; Schöning, Michael Josef
Dantism, Shahriar ; Röhlen, Desiree ; Selmer, Thorsten ; Wagner, Torsten ; Wagner, Patrick ; Schöning, Michael Josef
Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.
Clearance of blood components and fluid drainage play a crucial role in subarachnoid hemorrhage (SAH) and post hemorrhagic hydrocephalus (PHH). With the involvement of interstitial fluid (ISF) and cerebrospinal fluid (CSF), two pathways for the clearance of fluid and solutes in the brain are proposed. Starting at the level of capillaries, flow of ISF follows along the basement membranes in the walls of cerebral arteries out of the parenchyma to drain into the lymphatics and CSF [1]–[3]. Conversely, it is shown that CSF enters the parenchyma between glial and pial basement membranes of penetrating arteries [4]–[6]. Nevertheless, the involved structures and the contribution of either flow pathway to fluid balance between the subarachnoid space and interstitial space remains controversial. Low frequency oscillations in vascular tone are referred to as vasomotion and corresponding vasomotion waves are modeled as the driving force for flow of ISF out of the parenchyma [7]. Retinal vessel analysis (RVA) allows non-invasive measurement of retinal vessel vasomotion with respect to diameter changes [8]. Thus, the aim of the study is to investigate vasomotion in RVA signals of SAH and PHH patients.
Recognition of subjects with mild cognitive impairment (MCI) by the use of retinal arterial vessels.
(2019)
Zingsheim, Jonas ; Grimmer, Timo ; Ortner, Marion ; Schmaderer, Christoph ; Hauser, Christine ; Kotliar, Konstantin
Hypertension describes the pathological increase of blood pressure, which is most commonly associated with the increase of vascular wall stiffness [1]. Referring to the “Deutsche Bluthochdruck Liga” this pathology shows a growing trend in our aging society. In order to find novel pharmacological and probably personalized treatments, we want to present a functional approach to study biomechanical properties of a human aortic vascular model.
In this method review we will give an overview of recent studies which were carried out with the CellDrum technology [2] and underline the added value to already existing standard procedures known from the field of physiology.
Herein described CellDrum technology is a system to measure functional mechanical properties of cell monolayers and thin tissue constructs in-vitro. Additionally, the CellDrum enables to elucidate the mechanical response of cells to pharmacological drugs, toxins and vasoactive agents. Due to its highly flexible polymer support, cells can also be mechanically stimulated by steady and cyclic biaxial stretching.
Production and Characterization of Porous Fibroin Scaffolds for Regenerative Medical Application
(2019)
Kopp, Alexander ; Schmeets, Ralf ; Gosau, Martin ; Friedrich, Reinhard E. ; Fuest, Sandra ; Behbahani, Mehdi ; Barbeck, Mike ; Rutkowski, Rico ; Burg, Simon ; Kluwe, Lan ; Henningsen, Anders
Human induced pluripotent stem cells (hiPSCs) have shown to be promising in disease studies and drug screenings [1]. Cardiomyocytes derived from hiPSCs have been extensively investigated using patch-clamping and optical methods to compare their electromechanical behaviour relative to fully matured adult cells. Mathematical models can be used for translating findings on hiPSCCMs to adult cells [2] or to better understand the mechanisms of various ion channels when a drug is applied [3,4]. Paci et al. (2013) [3] developed the first model of hiPSC-CMs, which they later refined based on new data [3]. The model is based on iCells® (Fujifilm Cellular Dynamics, Inc. (FCDI), Madison WI, USA) but major differences among several cell lines and even within a single cell line have been found and motivate an approach for creating sample-specific models. We have developed an optimisation algorithm that parameterises the conductances (in S/F=Siemens/Farad) of the latest Paci et al. model (2018) [5] using current-voltage data obtained in individual patch-clamp experiments derived from an automated patch clamp system (Patchliner, Nanion Technologies GmbH, Munich).
The discovery of human induced pluripotent stem cells reprogrammed from somatic cells [1] and their ability to differentiate into cardiomyocytes (hiPSC-CMs) has provided a robust platform for drug screening [2]. Drug screenings are essential in the development of new components, particularly for evaluating the potential of drugs to induce life-threatening pro-arrhythmias. Between 1988 and 2009, 14 drugs have been removed from the market for this reason [3]. The microelectrode array (MEA) technique is a robust tool for drug screening as it detects the field potentials (FPs) for the entire cell culture. Furthermore, the propagation of the field potential can be examined on an electrode basis. To analyze MEA measurements in detail, we have developed an open-source tool.
Cornelis, Peter ; Givanoudi, Stella ; Yongabi, Derick ; Iken, Heiko ; Duwé, Sam ; Deschaume, Olivier ; Robbens, Johan ; Dedecker, Peter ; Bartic, Carmen ; Wübbenhorst, Michael ; Schöning, Michael Josef ; Heyndrickx, Marc ; Wagner, Patrick
Kyphoplasty of Osteoporotic Fractured Vertebrae: A Finite Element Analysis about Two Types of Cement
(2019)
Meyer, Carolin ; Gaalen, Kerstin van ; Leschinger, Tim ; Scheyerer, Max J. ; Neiss, Wolfram F. ; Staat, Manfred ; Müller, Lars P. ; Wegmann, Kilian
We propose the so-called chance constrained programming model of stochastic programming theory to analyze limit and shakedown loads of structures under random strength with a lognormal distribution. A dual chance constrained programming algorithm is developed to calculate simultaneously both the upper and lower bounds of the plastic collapse limit and the shakedown limit. The edge-based smoothed finite element method (ES-FEM) is used with three-node linear triangular elements.