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Search Results: 1 - 10 of 7027 matches for " Matthias Krause "
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MALDI-TOF Mass Spectrometric Analysis of Brain Tumor Cyst Fluid Reveals a Protein Peak Corresponding to ApoC1 and LuzP6  [PDF]
Mathias Groll, Jochen Frenzel, Matthias Krause, Anne Sch?nzer, Wolf Müller, Klaus Eschrich, Ulf Nestler
Open Journal of Modern Neurosurgery (OJMN) , 2018, DOI: 10.4236/ojmn.2018.83021
Abstract: Objectives: SELDI-TOF and MALDI-TOF mass spectrometry (MS) are laser desorption technologies that allow for proteomic examination of molecular masses in small amounts of samples. In a precedent study, the feasibility of SELDI-TOF MS assessment of proteins in cerebrospinal fluid and tumor cyst fluid had been shown. In the present study, we analyzed whether MALDI-TOF MS examination of these fluids leads to comparable results. Methods: During neurosurgical intervention, cyst fluids from 24 glioblastomas and 15 metastases were collected. As control, cerebrospinal fluid samples from 23 patients were obtained. The samples were prepared using a protocol optimized for MALDI-TOF MS. Mass spectra were recorded and peaks were extracted, characterized by masses and relative intensities. These peaks were analyzed for statistically significant differences between the diagnosis groups and compared to SELDI-TOF MS data. Results: 41 protein peaks known from the SELDI-TOF MS analysis could be confirmed by MALDI-TOF MS, and the cellular expression of the proteins LuzP6 and ApoC1, corresponding to the protein peaks 6433 and 6632, was shown immunohistochemically in glioblas-toma tissue. The MALDI-TOF spectrometry extends the range of analysis down to 1.4 kDa, whereas the upper detection limit lies below 23 kDa. Discussion: The presented proteomic approach yields an inventory of protein masses, found in the tumor cyst at the time of puncture. It does not reveal pathophysiologic, metabolic or secretory pathways that lead to the presence of proteins in the cyst. These have to be assessed immunohistochemically or on mRNA level in the surrounding tumor cells. Conclusion: MALDI-TOF MS of tumor cyst fluid discloses protein sizes, overexpressed or lost in tumor tissue. A thorough proteomic work-up is needed to identify the underlying proteins and metabolic pathways.
Surgical Treatment for Neonatal Hydrocephalus: Catheter-Based Cerebrospinal Fluid Diversion or Endoscopic Intervention?  [PDF]
Matthias Krause, Christos P. Panteliadis, Christian Hagel, Franz W. Hirsch, Ulrich H. Thome, Jürgen Meixensberger, Ulf Nestler
Open Journal of Modern Neurosurgery (OJMN) , 2018, DOI: 10.4236/ojmn.2018.81002
Abstract: Neonatal hydrocephalus can arise from a multitude of disturbances, among them congenital aqueductal stenosis, myelomeningocele or posthemorrhagic complications in preterm infants. Diagnostic work-up comprises transfontanellar ultrasonography, T2 weighted MRI and clinical assessment for rare inherited syndromes. Classification of hydrocephalus and treatment guidelines is based on detailed consensus statements. The recent evidence favors catheter-based cerebrospinal fluid diversion in children below 6 months, but emerging techniques such as neuroendoscopic lavage carry the potential to lower shunt insertion rates. More long-term study results will be needed to allow for individualized, multidisciplinary decision making. This article gives an overview regarding contemporary pathophysiological concepts, the latest consensus statements and most recent technical developments.
A space-time parallel solver for the three-dimensional heat equation
Robert Speck,Daniel Ruprecht,Matthew Emmett,Matthias Bolten,Rolf Krause
Computer Science , 2013, DOI: 10.3233/978-1-61499-381-0-263
Abstract: The paper presents a combination of the time-parallel "parallel full approximation scheme in space and time" (PFASST) with a parallel multigrid method (PMG) in space, resulting in a mesh-based solver for the three-dimensional heat equation with a uniquely high degree of efficient concurrency. Parallel scaling tests are reported on the Cray XE6 machine "Monte Rosa" on up to 16,384 cores and on the IBM Blue Gene/Q system "JUQUEEN" on up to 65,536 cores. The efficacy of the combined spatial- and temporal parallelization is shown by demonstrating that using PFASST in addition to PMG significantly extends the strong-scaling limit. Implications of using spatial coarsening strategies in PFASST's multi-level hierarchy in large-scale parallel simulations are discussed.
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas,Andreas Krause,Sham M. Kakade,Matthias Seeger
Computer Science , 2009, DOI: 10.1109/TIT.2011.2182033
Abstract: Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multi-armed bandit problem, where the payoff function is either sampled from a Gaussian process (GP) or has low RKHS norm. We resolve the important open problem of deriving regret bounds for this setting, which imply novel convergence rates for GP optimization. We analyze GP-UCB, an intuitive upper-confidence based algorithm, and bound its cumulative regret in terms of maximal information gain, establishing a novel connection between GP optimization and experimental design. Moreover, by bounding the latter in terms of operator spectra, we obtain explicit sublinear regret bounds for many commonly used covariance functions. In some important cases, our bounds have surprisingly weak dependence on the dimensionality. In our experiments on real sensor data, GP-UCB compares favorably with other heuristical GP optimization approaches.
Breaking the Waves: Modelling the Potential Impact of Public Health Measures to Defer the Epidemic Peak of Novel Influenza A/H1N1
Matthias an der Heiden,Udo Buchholz,Gérard Krause,G?ran Kirchner,Hermann Claus,Walter H. Haas
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0008356
Abstract: On June 11, 2009, the World Health Organization declared phase 6 of the novel influenza A/H1N1 pandemic. Although by the end of September 2009, the novel virus had been reported from all continents, the impact in most countries of the northern hemisphere has been limited. The return of the virus in a second wave would encounter populations that are still nonimmune and not vaccinated yet. We modelled the effect of control strategies to reduce the spread with the goal to defer the epidemic wave in a country where it is detected in a very early stage.
A multi-level spectral deferred correction method
Robert Speck,Daniel Ruprecht,Matthew Emmett,Michael Minion,Matthias Bolten,Rolf Krause
Mathematics , 2013, DOI: 10.1007/s10543-014-0517-x
Abstract: The spectral deferred correction (SDC) method is an iterative scheme for computing a higher-order collocation solution to an ODE by performing a series of correction sweeps using a low-order timestepping method. This paper examines a variation of SDC for the temporal integration of PDEs called multi-level spectral deferred corrections (MLSDC), where sweeps are performed on a hierarchy of levels and an FAS correction term, as in nonlinear multigrid methods, couples solutions on different levels. Three different strategies to reduce the computational cost of correction sweeps on the coarser levels are examined: reducing the degrees of freedom, reducing the order of the spatial discretization, and reducing the accuracy when solving linear systems arising in implicit temporal integration. Several numerical examples demonstrate the effect of multi-level coarsening on the convergence and cost of SDC integration. In particular, MLSDC can provide significant savings in compute time compared to SDC for a three-dimensional problem.
Failure of catecholamines to shift T-cell cytokine responses toward a Th2 profile in patients with rheumatoid arthritis
Matthias Wahle, Gesine Hanefeld, Stephan Brunn, Rainer H Straub, Ulf Wagner, Andreas Krause, Holm H?ntzschel, Christoph GO Baerwald
Arthritis Research & Therapy , 2006, DOI: 10.1186/ar2028
Abstract: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterised by intense immune activation within the synovial compartment of joints and a variety of systemic manifestations. The inflammatory process leads to cartilage and bone destruction [1]. Although the pathophysiology of RA is not completely understood, the abundance of T cells within the mononuclear infiltrates of the hyperplastic synovial membrane in RA together with the local production of T cell-derived cytokines suggest that T cells are important in the autoimmune response in RA [2]. According to the cytokine profiles after activation, CD4-positive T cells are subdivided into different subclasses termed T helper lymphocyte type 1 (Th1), Th2, and others [3]. Th1 and Th2 subsets can be viewed as the polarised accentuation of an immune reaction determining the local cytokine milieu [3]. Importantly, Th1 cells inhibit the generation of Th2 cells and vice versa. RA is interpreted as a disease dominated by a Th1 response and selective accumulation of Th1 cells within the synovial compartment [4]. Although local Th1 cell activation is regarded as the most important mechanism in enhancing inflammation during the course of RA [5], CD8-positive T cells are supposed to play an important role in the distinct pathology of RA as well [6].Although the etiology of RA remains elusive, the hallmark of the clinical course is a symmetric arthritis. Since the clinical observation that paralysed joints in patients who had an upper motor neuron hemiplegia or poliomyelitis were spared from the inflammatory process [7], an important role for the nervous system in the pathogenesis of RA has been hypothesised. It is proposed that in rheumatic diseases a disturbed interaction of the sympathetic nervous system (SNS) and the immune system contributes to the pathogenic process [8]. In particular, a dysbalance between the pro-inflammatory influence of substance P released by afferent sensory nerve fibers and the anti-inflamma
Treatment of Semantic Heterogeneity in Information Retrieval
Heiko Hellweg,Jürgen Krause,Thomas Mandl,Jutta Marx,Matthias N. O. Müller,Peter Mutschke,Robert Str?tgen
Computer Science , 2011,
Abstract: The first step to handle semantic heterogeneity should be the attempt to enrich the semantic information about documents, i.e. to fill up the gaps in the documents meta-data automatically. Section 2 describes a set of cascading deductive and heuristic extraction rules, which were developed in the project CARMEN for the domain of Social Sciences. The mapping between different terminologies can be done by using intellectual, statistical and/or neural network transfer modules. Intellectual transfers use cross-concordances between different classification schemes or thesauri. Section 3 describes the creation, storage and handling of such transfers.
Human Origins and the Search for “Missing Links”
Johannes Krause
PLOS Biology , 2012, DOI: 10.1371/journal.pbio.1001333
La Psicoterapia: ?Oficio sin Ciencia y Ciencia sin Oficio?
Revista Colombiana de Psicología , 2011,
Abstract: this article analyzes the persistent divorce between clinical practice and research in psychotherapy, examining the underlying reasons in both contexts. with respect to clinical practice, the article discusses the characteristics of the teaching of psychotherapy, therapeutic schools as communities, and the fear of research. in the case of research in psychotherapy, the article analyzes research results regarding the effectiveness of psychotherapy, the therapeutic alliance, and the elements of the process. finally, it presents some of the transformations in research and its dissemination, which can contribute to closing the gap between practice and science in psychotherapy.
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